Características do eflúvio telógeno na COVID‐19 no oeste do Irã (2020)

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Essa doença gerou crises de saúde pública em todo o mundo, acarretando uma pandemia em curso na maioria dos países, com taxa de mortalidade de 3 a 4%.<a class="elsevierStyleCrossRefs" href="#bib0080">1,2</a>Embora a COVID‐19 geralmente esteja associada a doenças respiratórias leves a graves na fase aguda, alguns pacientes que se recuperam da doença queixam‐se de sinais e sintomas dermatológicos, como alopecia, várias semanas após a fase de recuperação.<a class="elsevierStyleCrossRefs" href="#bib0090">3–6</a>O eflúvio telógeno (ET) é uma forma comum de alopecia, na qual muitos fatores estão implicados. Doenças febris agudas, como infecções virais, incluindo a COVID‐19, ocasionalmente estão envolvidas na patogênese do ET.<a class="elsevierStyleCrossRefs" href="#bib0105">6–11</a>Além da doença febril aguda, outros fatores podem estar envolvidos na indução do ET na COVID‐19, como estresse emocional, ingestão de alguns medicamentos, hospitalização, doenças associadas, problemas nutricionais e perda ponderal.Em razão do surto pandêmico de COVID‐19 e sua correlação com ET, avaliamos as características do ET nos pacientes que se apresentaram em nossa clínica dermatológica após melhorarem da COVID‐19.MétodoPopulação do estudoTrata-se de estudo transversal, realizado em 526 pacientes com ET documentado, que se recuperaram da COVID‐19, na clínica de dermatologia Hajdaie em Kermanshah, Irã, durante 12 meses em 2020.Os pacientes com ET clinicamente documentado após recuperação da COVID‐19 foram incluídos em nosso estudo. Aqueles com problemas psicológicos, doenças sistêmicas graves, consumo recente de medicamentos diferentes dos usados no tratamento da COVID‐19, pacientes em fase de pós‐parto e os recuperados de COVID‐19 há mais de 6 meses foram excluídos do estudo.Após obter o consentimento informado por escrito, foram registrados no questionário os dados demográficos, a Duração do Início da Queda de Cabelo Após Melhora (DIQCAM), a gravidade da COVID‐19, outros tipos concomitantes de alopecia e a avaliação laboratorial.O comitê de ética da Kermanshah University of Medical Sciences aprovou nosso estudo (IR.KUMS.REC.1398.674). As informações de todos os pacientes foram mantidas em sigilo.Documentação da COVID‐19 e classificação de gravidadeForam incluídos no estudo os pacientes com COVID‐19 diagnosticados por avaliação de PCR ou que apresentaram sintomas respiratórios e contato próximo com pacientes com COVID‐19. A COVID‐19 foi classificada de acordo com a gravidade dos sinais e sintomas como Grau I (pacientes que apresentaram sinais ou sintomas leves a moderados consistentes com doença semelhante à influenza), Grau II (pacientes que apresentaram sinais ou sintomas moderados a graves consistentes com doença semelhante à influenza sem hospitalização), Grau III (pacientes que apresentaram sinais ou sintomas moderados a graves consistentes com doença semelhante à influenza e hospitalização em uma enfermaria comum), Grau IV (pacientes que apresentaram sinais ou sintomas graves consistentes com doença semelhante à influenza e internação em enfermaria de unidade de tratamento intensivo [UTI], sem intubação respiratória), e Grau V (pacientes internados em enfermaria de UTI com intubação respiratória e conexão a ventilador).Análise dos dadosA análise dos dados foi feita com o software SPSS 16.0. As tabelas de frequência (frequência e porcentagem) foram utilizadas para resumir os dados qualitativos. A média e o desvio padrão foram utilizados para resumir as variáveis quantitativas com distribuição normal, e a mediana e o intervalo (máximo‐mínimo) foram utilizados para as variáveis quantitativas com distribuição não normal.Em seguida, tabelas de contingência, gráficos de barras bidimensionais e teste do qui‐quadrado de Pearson foram utilizados para determinar a relação entre as variáveis qualitativas.O teste de Kruskal‐Wallis foi usado para comparar as classificações medianas de variáveis quantitativas com distribuição não normal entre as categorias de variáveis qualitativas multinominais. O nível de significância foi definido como p <0,05.ResultadosNeste estudo, 526 pacientes, incluindo 410 (77,9%) mulheres e 116 (22,1%) homens, foram recrutados. A faixa etária dos participantes foi de 8 a 62 anos, com média de 30,97±9,592 anos e 7,65±1,739 semanas de média de DIQCAM da COVID‐19 (<a class="elsevierStyleCrossRef" href="#tbl0005">tabela 1</a>).<elsevierMultimedia ident="tbl0005"></elsevierMultimedia>Além disso, 100 (19%), 150 (28,5%), 193 (36,7%), 83 (15,8%) e 0 (0,0%) pacientes apresentaram COVID‐19 de Grau I a V, respectivamente (<a class="elsevierStyleCrossRef" href="#tbl0005">tabela 1</a>).Outros tipos concomitantes de doenças associadas à alopecia, achados laboratoriais anormais e outras características dos pacientes são apresentados na <a class="elsevierStyleCrossRef" href="#tbl0005">tabela 1</a>.COVID‐19 de alto grau foi observada significantemente em pacientes do sexo masculino, pacientes com DIQCAM mais curta, idades mais avançada e pacientes com alopecia androgenética (AAG; P <0,05) (<a class="elsevierStyleCrossRef" href="#tbl0010">tabela 2</a>).<elsevierMultimedia ident="tbl0010"></elsevierMultimedia>A DIQCAM foi significantemente menor nos pacientes mais jovens, do sexo feminino e com hipotireoidismo e grau mais alto de COVID‐19 (P <0,05).A correlação entre a gravidade da COVID‐19 e outras variáveis, bem como a DIQCAM e outras variáveis, são apresentadas na <a class="elsevierStyleCrossRef" href="#tbl0010">tabela 2</a>.A mediana e o intervalo quartil para o início da alopecia de acordo com a gravidade da COVID‐19 também estão mostradas na <a class="elsevierStyleCrossRef" href="#tbl0010">tabela 2</a>.O modelo de regressão logística ordinal para classificação da COVID‐19 e suas variáveis associadas são mostrados na <a class="elsevierStyleCrossRef" href="#tbl0015">tabela 3</a>.<elsevierMultimedia ident="tbl0015"></elsevierMultimedia>DiscussãoEmbora a COVID‐19 cause ET de modo semelhante a outras doenças febris agudas, nosso estudo mostrou que a DIQCAM foi significantemente menor em pacientes mais jovens, em mulheres e em pacientes com hipotireoidismo. Além disso, a COVID‐19 grave foi significantemente mais prevalente em homens, idade mais avançada, em pacientes com AAG e quando houve início precoce da alopecia.A maioria dos pacientes era do sexo feminino, geralmente na terceira e quarta décadas de vida, não fumantes, não etilistas e não viciadas em drogas; a maioria teve COVID‐19 grau III; a AAG foi o tipo de alopecia concomitante mais comum, com 7,65±1,739 semanas de DIQCAM após a doença.No presente estudo, 77,9% dos pacientes eram do sexo feminino, com apresentação mais precoce da alopecia e, em sua maioria, tiveram COVID‐19 de grau inferior ao dos homens. Acreditamos que as mulheres se dirigem mais cedo aos médicos por causa de sua sensibilidade à beleza<a class="elsevierStyleCrossRef" href="#bib0135">12</a> e aos cabelos longos, o que torna a alopecia mais evidente. Por outro lado, a alta prevalência de alguns transtornos, como estresse emocional,<a class="elsevierStyleCrossRef" href="#bib0105">6</a> anormalidades da tireoide<a class="elsevierStyleCrossRefs" href="#bib0110">7,8</a> e anemia no sexo feminino, torna‐as propensas ao início precoce do ET. A média de idade dos pacientes foi de 31 anos. No entanto, um estudo relatou três mulheres em idade avançada com ET, com relação à infecção por SARS‐CoV‐2.<a class="elsevierStyleCrossRef" href="#bib0105">6</a> Além disso, Moreno‐Arrones et al.<a class="elsevierStyleCrossRef" href="#bib0135">12</a> encontraram uma média de idade de 47,4 anos para os pacientes que apresentaram ET após COVID‐19. Embora os idosos sejam especialmente afetados na epidemia global de COVID‐19, a doença pode ser mais prevalente em algumas faixas etárias em cada área geográfica. Parece que, em nossa região, os pacientes com COVID‐19 são mais jovens e mais sensíveis à alopecia, de modo que a média de idade dos pacientes em nossa região é menor do que em outras áreas.Deficiência de vitamina D (24,3%) e hipotireoidismo (21%) foram os achados mais comuns. Ambos os distúrbios são a principal causa de alopecia e ET;<a class="elsevierStyleCrossRefs" href="#bib0105">6,7</a> portanto, podem exacerbar ou tornar a alopecia crônica em associação com a infecção por COVID‐19.O hipotireoidismo resultou em início precoce de alopecia após melhora da infecção por COVID‐19. Portanto, o hipotireoidismo é um fator muito importante, que acelera a progressão do folículo piloso da fase anágena para a fase telógena.Em um estudo, o DIQCAM da COVID‐19 foi de 58,6 dias,<a class="elsevierStyleCrossRef" href="#bib0095">4</a> quase semelhante ao início da alopecia nos pacientes do presente estudo. Nossos achados também mostraram que pacientes com infecção grave por COVID‐19 e pacientes do sexo feminino e jovens tiveram encaminhamento significantemente mais precoce. Isso pode estar relacionado à multiplicidade de fatores associados, como estresse emocional, ingestão de vários medicamentos, febre alta e distúrbios sistêmicos concomitantes na COVID‐19 grave.Mais de 50% desses pacientes desenvolveram Graus III e IV da COVID‐19, ou seja doença grave, e apresentaram início precoce da alopecia. A infecção grave por COVID‐19 pode resultar em alta produção de citocinas pró‐inflamatórias e estado pró‐inflamatório. Além disso, nessa situação, a cascata de coagulação é ativada e a circulação de agentes anticoagulantes diminui. Esses aspectos podem estar associados a microtrombos e oclusão de microvasos do folículo piloso. Adicionalmente, a multiplicidade dos fatores de risco associados à infecção grave por COVID‐19 leva ao início precoce do ET.<a class="elsevierStyleCrossRef" href="#bib0140">13</a>A maioria dos pacientes do presente estudo era não fumante, não etilista e não era viciada em drogas; portanto, esses fatores tiveram um impacto mínimo na alopecia. Entretanto, essas variáveis podem levar à alopecia por efeitos secundários, como desnutrição, falta de higiene e distúrbios sistêmicos.Wambier et al.<a class="elsevierStyleCrossRef" href="#bib0145">14</a> mostraram que a maioria dos pacientes com COVID‐19 grave ou hospitalizados apresentava AAG. A AAG também foi o tipo mais comum de alopecia concomitante nos pacientes do presente estudo. A importância da coexistência de ET e AAG é o mau prognóstico, com baixa possibilidade de melhora na densidade dos cabelos.<a class="elsevierStyleCrossRef" href="#bib0150">15</a> Por outro lado, a alta frequência da coexistência de ET e AAG observada nos pacientes deste estudo está associada ao maior estresse emocional, o que pode, consequentemente, agravar a alopecia.Em relação aos presentes achados, consistentes com outros estudos, idade mais avançada e sexo masculino geralmente estão associados à COVID‐19 grave;<a class="elsevierStyleCrossRefs" href="#bib0085">2,3</a> portanto, estão associados a hospitalização e a diversas complicações secundárias da infecção viral como outros fatores de risco para a indução do ET. Essas razões justificam a possibilidade de maior incidência de ET e início precoce de alopecia em homens e casos graves de infecção por COVID‐19.ConclusãoA infecção por COVID‐19 pode induzir ET, tal como outras infecções virais agudas. Entretanto, diversos fatores, como outras doenças associadas, ingestão de vários medicamentos, estresse emocional, hospitalização, problemas nutricionais e algumas complicações secundárias de infecções virais (como outros fatores de risco associados) podem estar envolvidos na ativação do ET. Nos casos de início precoce da alopecia, deve‐se considerar a possibilidade de doenças concomitantes, como hipotireoidismo e infecção grave por coronavírus. Assim, a presença de vários fatores deve ser considerada na indução do ET.Suporte financeiroNenhum.Contribuição dos autoresKhaled Babaei: Concepção e planejamento do estudo; revisão crítica da literatura.Hossein Kavoussi: Aprovação da versão final do manuscrito; participação efetiva na orientação da pesquisa; concepção e planejamento do estudo; revisão crítica do manuscrito.Mansour Rezaei: Obtenção, análise e interpretação de dados; análise estatística.Reza Kavoussi: Participação intelectual em conduta propedêutica e/ou terapêutica de casos estudados; elaboração e redação do manuscrito.Conflito de interessesNenhum." "textoCompletoSecciones" => array:1 [ "secciones" => array:11 [ 0 => array:3 [ "identificador" => "xres1613242" "titulo" => "Resumo" "secciones" => array:6 [ 0 => array:2 [ "identificador" => "abst0005" "titulo" => "Fundamentos" ] 1 => array:2 [ "identificador" => "abst0010" "titulo" => "Objetivo" ] 2 => array:2 [ "identificador" => "abst0015" "titulo" => "Método" ] 3 => array:2 [ "identificador" => "abst0020" "titulo" => "Resultados" ] 4 => array:2 [ "identificador" => "abst0025" "titulo" => "Limitações do estudo" ] 5 => array:2 [ "identificador" => "abst0030" "titulo" => "Conclusão" ] ] ] 1 => array:2 [ "identificador" => "xpalclavsec1442420" "titulo" => "Palavras‐chave" ] 2 => array:2 [ "identificador" => "sec0005" "titulo" => "Introdução" ] 3 => array:3 [ "identificador" => "sec0010" "titulo" => "Método" "secciones" => array:3 [ 0 => array:2 [ "identificador" => "sec0015" "titulo" => "População do estudo" ] 1 => array:2 [ "identificador" => "sec0020" "titulo" => "Documentação da COVID‐19 e classificação de gravidade" ] 2 => array:2 [ "identificador" => "sec0025" "titulo" => "Análise dos dados" ] ] ] 4 => array:2 [ "identificador" => "sec0030" "titulo" => "Resultados" ] 5 => array:2 [ "identificador" => "sec0035" "titulo" => "Discussão" ] 6 => array:2 [ "identificador" => "sec0040" "titulo" => "Conclusão" ] 7 => array:2 [ "identificador" => "sec0045" "titulo" => "Suporte financeiro" ] 8 => array:2 [ "identificador" => "sec0050" "titulo" => "Contribuição dos autores" ] 9 => array:2 [ "identificador" => "sec0055" "titulo" => "Conflito de interesses" ] 10 => array:1 [ "titulo" => "Referências" ] ] ] "pdfFichero" => "main.pdf" "tienePdf" => true "fechaRecibido" => "2021-03-24" "fechaAceptado" => "2021-05-31" "PalabrasClave" => array:1 [ "pt" => array:1 [ 0 => array:4 [ "clase" => "keyword" "titulo" => "Palavras‐chave" "identificador" => "xpalclavsec1442420" "palabras" => array:3 [ 0 => "Alopecia" 1 => "COVID‐19" 2 => "Deficiência de vitamina D" ] ] ] ] "tieneResumen" => true "resumen" => array:1 [ "pt" => array:3 [ "titulo" => "Resumo" "resumen" => "FundamentosEmbora a pandemia da COVID‐19 significantemente induza a mortalidade, muitos dos pacientes que se recuperam apresentam outros problemas médicos, como alopecias. O eflúvio telógeno é uma alopecia comum que geralmente está relacionada a eventos anteriores, como doenças febris agudas, incluindo a COVID‐19. ObjetivoAvaliar as características do eflúvio telógeno na COVID‐19. MétodoEste estudo transversal foi realizado em 526 pacientes com eflúvio telógeno documentado que se recuperaram da COVID‐19. Dados demográficos, alopecia concomitante, distúrbios associados e gravidade da COVID‐19 foram registrados. Os dados foram analisados por métodos estatísticos apropriados. ResultadosA média de idade dos 526 pacientes (410 mulheres, 116 homens) foi de 30,97 ±9,592 anos, com média de 7,65±1,739 semanas de início da alopecia. A deficiência de vitamina D (24,3%), presença de alopecia androgenética (78,2%) e gravidade de COVID‐19 grau III foram os achados mais comuns. O início da alopecia foi significantemente mais rápido em indivíduos mais jovens, do sexo feminino, com hipotireoidismo e infecção por coronavírus mais grave. A infecção por coronavírus de grau mais elevado foi observada significantemente em indivíduos do sexo masculino, mais idosos, de início precoce e com alopecia androgenética. Limitações do estudoEstudo unicêntrico considerando variáveis limitadas. ConclusãoEmbora a infecção pelo SARS‐CoV‐2 possa ser um fator importante na indução do eflúvio telógeno, outros fatores, como doenças associadas, ingestão de medicamentos e estresse emocional também podem estar envolvidos. Nos casos de início precoce da alopecia, doenças concomitantes como hipotireoidismo e infecções graves pelo coronavírus podem ocorrer. Portanto, a presença de vários fatores na indução do eflúvio telógeno deve ser considerada." "secciones" => array:6 [ 0 => array:2 [ "identificador" => "abst0005" "titulo" => "Fundamentos" ] 1 => array:2 [ "identificador" => "abst0010" "titulo" => "Objetivo" ] 2 => array:2 [ "identificador" => "abst0015" "titulo" => "Método" ] 3 => array:2 [ "identificador" => "abst0020" "titulo" => "Resultados" ] 4 => array:2 [ "identificador" => "abst0025" "titulo" => "Limitações do estudo" ] 5 => array:2 [ "identificador" => "abst0030" "titulo" => "Conclusão" ] ] ] ] "NotaPie" => array:2 [ 0 => array:2 [ "etiqueta" => "☆" "nota" => "Como citar este artigo: Babaei K, Kavoussi H, Rezaei M, Kavoussi R. Characteristics of telogen effluvium in COVID‐19 in western Iran (2020). An Bras Dermatol. 2021;96:688–92." ] 1 => array:2 [ "etiqueta" => "☆☆" "nota" => "Trabalho realizado na Hajdaie Dermatology Clinic, Kermanshah, Irã." ] ] "multimedia" => array:3 [ 0 => array:8 [ "identificador" => "tbl0005" "etiqueta" => "Tabela 1" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "detalles" => array:1 [ 0 => array:3 [ "identificador" => "at1" "detalle" => "Tabela " "rol" => "short" ] ] "tabla" => array:1 [ "tablatextoimagen" => array:1 [ 0 => array:2 [ "tabla" => array:1 [ 0 => """ <table border="0" frame="\n \t\t\t\t\tvoid\n \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Variáveis \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black"> \t\t\t\t\t\t\n \t\t\t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Média da idade (anos) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">30,97 ± 9,592 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Duração média do início da doença (semanas) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">7,65 ± 1,739 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " colspan="2" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Sexo n (%)</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Feminino \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">410 (77,9%) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Masculino \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">116 (22,1%) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " colspan="2" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"></td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " colspan="2" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Doenças associadas n (%)</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Sim \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">181 (34,4%) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Não \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">345 (65,6%) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " colspan="2" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"></td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " colspan="2" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Tipos de doenças associadas ou achados laboratoriais n (%)</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Deficiência de Vitamina D \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">44 (24,3%) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">VHS elevada \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">38 (21,0%) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Hipotireoidismo \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">38 (21,0%) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Diabetes \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">36 (19,9%) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Anemia ferropriva \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">25 (13,8%) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " colspan="2" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"></td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " colspan="2" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Tabagismo n (%)</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Sim \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">57 (10,8%) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Não \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">469 (89,2%) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " colspan="2" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"></td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " colspan="2" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Etilismo n (%)</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Sim \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">43 (8,2%) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Não \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">483 (91,8%) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " colspan="2" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"></td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " colspan="2" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Alopecia concomitante n (%)</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Sim \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">147 (27,9%) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Não \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">379 (72,1%) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " colspan="2" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"></td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " colspan="2" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Tipo de alopecia concomitante n (%)</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Alopecia androgenética \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">115 (78,2%) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Alopecia areata \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">28 (19,0%) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Alopecia cicatricial \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">4 (2,7%) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " colspan="2" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"></td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " colspan="2" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Grau da COVID‐19 n (%)</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Grau I \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">100 (19,0%) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Grau II \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">150 (28,5%) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Grau III \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">193 (36,7%) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Grau IV \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">83 (15,8%) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Grau V \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0 (0,0%) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Total, número de pacientes \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">526 (100,0%) \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab2750881.png" ] ] ] ] "descripcion" => array:1 [ "pt" => "Características demográficas e outras características dos pacientes" ] ] 1 => array:8 [ "identificador" => "tbl0010" "etiqueta" => "Tabela 2" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "detalles" => array:1 [ 0 => array:3 [ "identificador" => "at2" "detalle" => "Tabela " "rol" => "short" ] ] "tabla" => array:3 [ "leyenda" => "DMIPCAM, Duração média do início da alopecia após a melhora; TIPCAM, Tempo de início da alopecia após a melhora; MPC, Mediana da Alopecia; IIQ, Intervalo Interquartil; DAAL, doença associada ou achados laboratoriais." "tablatextoimagen" => array:1 [ 0 => array:2 [ "tabla" => array:1 [ 0 => """ <table border="0" frame="\n \t\t\t\t\tvoid\n \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td-with-role" title="\n \t\t\t\t\ttable-head\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col">Variávies \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " colspan="4" align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Grau da COVID‐19</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col">P valor \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col">DMIPCAM \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col">P valor \t\t\t\t\t\t\n \t\t\t\t\t\t</th></tr><tr title="table-row"><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black"> \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">I \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">II \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">III \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">IV \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black"> \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black"> \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black"> \t\t\t\t\t\t\n \t\t\t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " colspan="8" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Sexo</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Feminino \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">83(20,2%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">119(29,9%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">156(38,0%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">52(12,7%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " rowspan="2" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0,03</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">252,3 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " rowspan="2" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0,001</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Masculino \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">17(14,7%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">31(26,6%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">37(31,9%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">31(26,7%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">303,2<a class="elsevierStyleCrossRef" href="#tblfn0005">a</a> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " colspan="8" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"></td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " colspan="8" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">DAAL</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Deficiência de vitamina D \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">6(13,6%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">11(25,0%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">21(47,7%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">6(13,6%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " rowspan="5" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0,250</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">15,89±3,384 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " rowspan="5" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0,000</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Hipotireoidismo \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">7(18,4%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">8(21,1%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">16(42,1%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">7(18,4%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">13,79±2,361 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">VHS elevada \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">6(15,8%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">6(15,8%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">16(42,1%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">10(26,3%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">15,26±2,777 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Diabetes \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">3(8,3%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">9(25,0%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">16(44,4%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">8(22,2%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">15,81±2,703 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Anemia ferropriva \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">4(16,0%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">6(24,0%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">10(40,0%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">5(20,0%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">15,52±3,137<a class="elsevierStyleCrossRef" href="#tblfn0010">b</a> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " colspan="8" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"></td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " colspan="8" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Tipo de alopecia concomitante</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Alopecia androgenética \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">23(20%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">33(28,7%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">39(33,9%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">20(17,4%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " rowspan="3" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0,038</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">15,90±3,115 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " rowspan="3" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0,568</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Alopecia areata \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">2(7,1%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">10(35,7%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">11 (39,3%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">5 (17,9%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">15,71±3,196 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Alopecia cicatricial \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1(25,0%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">2(50,0%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1(25,0%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0(0,0%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">13,75±3,304<a class="elsevierStyleCrossRef" href="#tblfn0010">b</a> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Tabagismo \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">7(12,3%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">18(31,6%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">19(33,3%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">13(22,8%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0,269 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">259,1 vs 264,0<a class="elsevierStyleCrossRef" href="#tblfn0005">a</a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0,816 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Etilismo \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">3(7,0%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">12(27,9%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">17(39,5%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">11(25,6%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0,089 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">264,9 vs 248,2<a class="elsevierStyleCrossRef" href="#tblfn0005">a</a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0,489 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">TIPCAM (semanas)(Média±DP) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">8,89±2,039 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">7,98±1,693 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">7,12±1,315 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">6,81±1,273 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0,000 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">MPC (semanas)Mediana (IIQ) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">9,0(3,0) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">8,0(2) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">7,0(2) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">7,0(2) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0,000 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab2750879.png" ] ] ] "notaPie" => array:2 [ 0 => array:3 [ "identificador" => "tblfn0005" "etiqueta" => "a" "nota" => "Classificação Média." ] 1 => array:3 [ "identificador" => "tblfn0010" "etiqueta" => "b" "nota" => "Média±DP." ] ] ] "descripcion" => array:1 [ "pt" => "Associação entre a gravidade da COVID‐19 e a duração média do início da alopecia após a melhora da doença com algumas variáveis" ] ] 2 => array:8 [ "identificador" => "tbl0015" "etiqueta" => "Tabela 3" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "detalles" => array:1 [ 0 => array:3 [ "identificador" => "at3" "detalle" => "Tabela " "rol" => "short" ] ] "tabla" => array:2 [ "leyenda" => "DIPCAM, duração do início da alopecia após a melhora; E.P., Erro Padrão; IC, Intervalo de Confiança." "tablatextoimagen" => array:1 [ 0 => array:2 [ "tabla" => array:1 [ 0 => """ <table border="0" frame="\n \t\t\t\t\tvoid\n \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Variáveis \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Coeficiente \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">E.P. \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">P‐valor \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">IC 95% \t\t\t\t\t\t\n \t\t\t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">COVID‐19 Grau I \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">2,749 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0,825 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0,001 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">(1,13; 4,36) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">COVID‐19 Grau II \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">4,778 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0,834 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0,000 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">(3,14; 6,41) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">COVID‐19 Grau III \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">7,542 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0,885 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0,000 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">(5,8; 9,27) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Sexo \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0,904 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0,216 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0,000 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">(0,48; 1,32) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Idade \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0,140 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0,012 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0,000 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">(0,11; 0,16) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Alopecia concomitante \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0,508 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0,120 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0,000 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">(0,27; 0,74) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">DIPCAM \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">‐1,819 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0,221 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0,000 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">(‐2,25; ‐1,38) \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab2750880.png" ] ] ] ] "descripcion" => array:1 [ "pt" => "Modelo de regressão logística ordinal para classificação da COVID‐19 e suas variáveis associadas" ] ] ] "bibliografia" => array:2 [ "titulo" => "Referências" "seccion" => array:1 [ 0 => array:2 [ "identificador" => "bibs0015" "bibliografiaReferencia" => array:15 [ 0 => array:3 [ "identificador" => "bib0080" "etiqueta" => "1" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "History is repeating itself: probable zoonotic spillover as the cause of the 2019 novel coronavirus epidemic" "autores" => array:1 [ 0 => array:2 [ "etal" => true "autores" => array:6 [ 0 => "A.J. Rodriguez-Morales" 1 => "D.K. Bonilla-Aldana" 2 => "G.J. Balbin-Ramon" 3 => "A.A. Rabaan" 4 => "R. Sah" 5 => "A. Paniz-Mondolfi" ] ] ] ] ] "host" => array:1 [ 0 => array:1 [ "Revista" => array:6 [ "tituloSerie" => "Infez Med." "fecha" => "2020" "volumen" => "28" "paginaInicial" => "3" "paginaFinal" => "5" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/32009128" "web" => "Medline" ] ] ] ] ] ] ] ] 1 => array:3 [ "identificador" => "bib0085" "etiqueta" => "2" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Coronavirus Disease 2019 – COVID‐19" "autores" => array:1 [ 0 => array:2 [ "etal" => true "autores" => array:6 [ 0 => "K. Dhama" 1 => "S. Khan" 2 => "R. Tiwari" 3 => "S. Sircar" 4 => "S. Bhat" 5 => "Y.S. Malik" ] ] ] ] ] "host" => array:1 [ 0 => array:1 [ "Revista" => array:4 [ "tituloSerie" => "Clin Microbiol Rev." 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Características do eflúvio telógeno na COVID‐19 no oeste do Irã (2020)

Khaled Babaeia, Hossein Kavoussia,

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hkawosi@kums.ac.ir

Autor para correspondência.

, Mansour Rezaeib, Reza Kavoussic

a Departamento de Dermatologia, Faculdade de Medicina, Kermanshah University of Medical Sciences (KUMS), Kermanshah, Irã

b Escola de Saúde, Centro de Pesquisa em Saúde da Família, Kermanshah University of Medical Sciences (KUMS), Kermanshah, Irã

c Kermanshah University of Medical Sciences (KUMS), Kermanshah, Irã

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    "titulo" => "Caracter&#237;sticas do efl&#250;vio tel&#243;geno na COVID&#8208;19 no oeste do Ir&#227; &#40;2020&#41;"
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    "textoCompleto" => "<span class="elsevierStyleSections"><span id="sec0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0045">Introdu&#231;&#227;o</span><p id="par0005" class="elsevierStylePara elsevierViewall">No final de 2019&#44; um coronav&#237;rus&#44; isto &#233;&#44; a s&#237;ndrome respirat&#243;ria aguda grave causada pelo coronav&#237;rus 2 &#40;SARS&#8208;CoV&#8208;2&#41;&#44; causou a doen&#231;a do coronav&#237;rus&#8208;2019 &#40;COVID&#8208;19&#41;&#46; Essa doen&#231;a gerou crises de sa&#250;de p&#250;blica em todo o mundo&#44; acarretando uma pandemia em curso na maioria dos pa&#237;ses&#44; com taxa de mortalidade de 3 a 4&#37;&#46;<a class="elsevierStyleCrossRefs" href="#bib0080"><span class="elsevierStyleSup">1&#44;2</span></a></p><p id="par0010" class="elsevierStylePara elsevierViewall">Embora a COVID&#8208;19 geralmente esteja associada a doen&#231;as respirat&#243;rias leves a graves na fase aguda&#44; alguns pacientes que se recuperam da doen&#231;a queixam&#8208;se de sinais e sintomas dermatol&#243;gicos&#44; como alopecia&#44; v&#225;rias semanas ap&#243;s a fase de recupera&#231;&#227;o&#46;<a class="elsevierStyleCrossRefs" href="#bib0090"><span class="elsevierStyleSup">3&#8211;6</span></a></p><p id="par0015" class="elsevierStylePara elsevierViewall">O efl&#250;vio tel&#243;geno &#40;ET&#41; &#233; uma forma comum de alopecia&#44; na qual muitos fatores est&#227;o implicados&#46; Doen&#231;as febris agudas&#44; como infec&#231;&#245;es virais&#44; incluindo a COVID&#8208;19&#44; ocasionalmente est&#227;o envolvidas na patog&#234;nese do ET&#46;<a class="elsevierStyleCrossRefs" href="#bib0105"><span class="elsevierStyleSup">6&#8211;11</span></a></p><p id="par0020" class="elsevierStylePara elsevierViewall">Al&#233;m da doen&#231;a febril aguda&#44; outros fatores podem estar envolvidos na indu&#231;&#227;o do ET na COVID&#8208;19&#44; como estresse emocional&#44; ingest&#227;o de alguns medicamentos&#44; hospitaliza&#231;&#227;o&#44; doen&#231;as associadas&#44; problemas nutricionais e perda ponderal&#46;</p><p id="par0025" class="elsevierStylePara elsevierViewall">Em raz&#227;o do surto pand&#234;mico de COVID&#8208;19 e sua correla&#231;&#227;o com ET&#44; avaliamos as caracter&#237;sticas do ET nos pacientes que se apresentaram em nossa cl&#237;nica dermatol&#243;gica ap&#243;s melhorarem da COVID&#8208;19&#46;</p></span><span id="sec0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0050">M&#233;todo</span><span id="sec0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0055">Popula&#231;&#227;o do estudo</span><p id="par0030" class="elsevierStylePara elsevierViewall">Trata-se de estudo transversal&#44; realizado em 526 pacientes com ET documentado&#44; que se recuperaram da COVID&#8208;19&#44; na cl&#237;nica de dermatologia Hajdaie em Kermanshah&#44; Ir&#227;&#44; durante 12 meses em 2020&#46;</p><p id="par0035" class="elsevierStylePara elsevierViewall">Os pacientes com ET clinicamente documentado ap&#243;s recupera&#231;&#227;o da COVID&#8208;19 foram inclu&#237;dos em nosso estudo&#46; Aqueles com problemas psicol&#243;gicos&#44; doen&#231;as sist&#234;micas graves&#44; consumo recente de medicamentos diferentes dos usados no tratamento da COVID&#8208;19&#44; pacientes em fase de p&#243;s&#8208;parto e os recuperados de COVID&#8208;19 h&#225; mais de 6 meses foram exclu&#237;dos do estudo&#46;</p><p id="par0040" class="elsevierStylePara elsevierViewall">Ap&#243;s obter o consentimento informado por escrito&#44; foram registrados no question&#225;rio os dados demogr&#225;ficos&#44; a Dura&#231;&#227;o do In&#237;cio da Queda de Cabelo Ap&#243;s Melhora &#40;DIQCAM&#41;&#44; a gravidade da COVID&#8208;19&#44; outros tipos concomitantes de alopecia e a avalia&#231;&#227;o laboratorial&#46;</p><p id="par0045" class="elsevierStylePara elsevierViewall">O comit&#234; de &#233;tica da Kermanshah University of Medical Sciences aprovou nosso estudo &#40;IR&#46;KUMS&#46;REC&#46;1398&#46;674&#41;&#46; As informa&#231;&#245;es de todos os pacientes foram mantidas em sigilo&#46;</p></span><span id="sec0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0060">Documenta&#231;&#227;o da COVID&#8208;19 e classifica&#231;&#227;o de gravidade</span><p id="par0050" class="elsevierStylePara elsevierViewall">Foram inclu&#237;dos no estudo os pacientes com COVID&#8208;19 diagnosticados por avalia&#231;&#227;o de PCR ou que apresentaram sintomas respirat&#243;rios e contato pr&#243;ximo com pacientes com COVID&#8208;19&#46; A COVID&#8208;19 foi classificada de acordo com a gravidade dos sinais e sintomas como Grau I &#40;pacientes que apresentaram sinais ou sintomas leves a moderados consistentes com doen&#231;a semelhante &#224; influenza&#41;&#44; Grau II &#40;pacientes que apresentaram sinais ou sintomas moderados a graves consistentes com doen&#231;a semelhante &#224; influenza sem hospitaliza&#231;&#227;o&#41;&#44; Grau III &#40;pacientes que apresentaram sinais ou sintomas moderados a graves consistentes com doen&#231;a semelhante &#224; influenza e hospitaliza&#231;&#227;o em uma enfermaria comum&#41;&#44; Grau IV &#40;pacientes que apresentaram sinais ou sintomas graves consistentes com doen&#231;a semelhante &#224; influenza e interna&#231;&#227;o em enfermaria de unidade de tratamento intensivo &#91;UTI&#93;&#44; sem intuba&#231;&#227;o respirat&#243;ria&#41;&#44; e Grau V &#40;pacientes internados em enfermaria de UTI com intuba&#231;&#227;o respirat&#243;ria e conex&#227;o a ventilador&#41;&#46;</p></span><span id="sec0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0065">An&#225;lise dos dados</span><p id="par0055" class="elsevierStylePara elsevierViewall">A an&#225;lise dos dados foi feita com o software SPSS 16&#46;0&#46; As tabelas de frequ&#234;ncia &#40;frequ&#234;ncia e porcentagem&#41; foram utilizadas para resumir os dados qualitativos&#46; A m&#233;dia e o desvio padr&#227;o foram utilizados para resumir as vari&#225;veis quantitativas com distribui&#231;&#227;o normal&#44; e a mediana e o intervalo &#40;m&#225;ximo&#8208;m&#237;nimo&#41; foram utilizados para as vari&#225;veis quantitativas com distribui&#231;&#227;o n&#227;o normal&#46;</p><p id="par0060" class="elsevierStylePara elsevierViewall">Em seguida&#44; tabelas de conting&#234;ncia&#44; gr&#225;ficos de barras bidimensionais e teste do qui&#8208;quadrado de Pearson foram utilizados para determinar a rela&#231;&#227;o entre as vari&#225;veis qualitativas&#46;</p><p id="par0065" class="elsevierStylePara elsevierViewall">O teste de Kruskal&#8208;Wallis foi usado para comparar as classifica&#231;&#245;es medianas de vari&#225;veis quantitativas com distribui&#231;&#227;o n&#227;o normal entre as categorias de vari&#225;veis qualitativas multinominais&#46; O n&#237;vel de signific&#226;ncia foi definido como p &#60;<span class="elsevierStyleHsp" style=""></span>0&#44;05&#46;</p></span></span><span id="sec0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0070">Resultados</span><p id="par0070" class="elsevierStylePara elsevierViewall">Neste estudo&#44; 526 pacientes&#44; incluindo 410 &#40;77&#44;9&#37;&#41; mulheres e 116 &#40;22&#44;1&#37;&#41; homens&#44; foram recrutados&#46; A faixa et&#225;ria dos participantes foi de 8 a 62 anos&#44; com m&#233;dia de 30&#44;97<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>9&#44;592 anos e 7&#44;65<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>1&#44;739 semanas de m&#233;dia de DIQCAM da COVID&#8208;19 &#40;<a class="elsevierStyleCrossRef" href="#tbl0005">tabela 1</a>&#41;&#46;</p><elsevierMultimedia ident="tbl0005"></elsevierMultimedia><p id="par0075" class="elsevierStylePara elsevierViewall">Al&#233;m disso&#44; 100 &#40;19&#37;&#41;&#44; 150 &#40;28&#44;5&#37;&#41;&#44; 193 &#40;36&#44;7&#37;&#41;&#44; 83 &#40;15&#44;8&#37;&#41; e 0 &#40;0&#44;0&#37;&#41; pacientes apresentaram COVID&#8208;19 de Grau I a V&#44; respectivamente &#40;<a class="elsevierStyleCrossRef" href="#tbl0005">tabela 1</a>&#41;&#46;</p><p id="par0080" class="elsevierStylePara elsevierViewall">Outros tipos concomitantes de doen&#231;as associadas &#224; alopecia&#44; achados laboratoriais anormais e outras caracter&#237;sticas dos pacientes s&#227;o apresentados na <a class="elsevierStyleCrossRef" href="#tbl0005">tabela 1</a>&#46;</p><p id="par0085" class="elsevierStylePara elsevierViewall">COVID&#8208;19 de alto grau foi observada significantemente em pacientes do sexo masculino&#44; pacientes com DIQCAM mais curta&#44; idades mais avan&#231;ada e pacientes com alopecia androgen&#233;tica &#40;AAG&#59; P &#60;<span class="elsevierStyleHsp" style=""></span>0&#44;05&#41; &#40;<a class="elsevierStyleCrossRef" href="#tbl0010">tabela 2</a>&#41;&#46;</p><elsevierMultimedia ident="tbl0010"></elsevierMultimedia><p id="par0090" class="elsevierStylePara elsevierViewall">A DIQCAM foi significantemente menor nos pacientes mais jovens&#44; do sexo feminino e com hipotireoidismo e grau mais alto de COVID&#8208;19 &#40;P &#60;<span class="elsevierStyleHsp" style=""></span>0&#44;05&#41;&#46;</p><p id="par0095" class="elsevierStylePara elsevierViewall">A correla&#231;&#227;o entre a gravidade da COVID&#8208;19 e outras vari&#225;veis&#44; bem como a DIQCAM e outras vari&#225;veis&#44; s&#227;o apresentadas na <a class="elsevierStyleCrossRef" href="#tbl0010">tabela 2</a>&#46;</p><p id="par0100" class="elsevierStylePara elsevierViewall">A mediana e o intervalo quartil para o in&#237;cio da alopecia de acordo com a gravidade da COVID&#8208;19 tamb&#233;m est&#227;o mostradas na <a class="elsevierStyleCrossRef" href="#tbl0010">tabela 2</a>&#46;</p><p id="par0105" class="elsevierStylePara elsevierViewall">O modelo de regress&#227;o log&#237;stica ordinal para classifica&#231;&#227;o da COVID&#8208;19 e suas vari&#225;veis associadas s&#227;o mostrados na <a class="elsevierStyleCrossRef" href="#tbl0015">tabela 3</a>&#46;</p><elsevierMultimedia ident="tbl0015"></elsevierMultimedia></span><span id="sec0035" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0075">Discuss&#227;o</span><p id="par0110" class="elsevierStylePara elsevierViewall">Embora a COVID&#8208;19 cause ET de modo semelhante a outras doen&#231;as febris agudas&#44; nosso estudo mostrou que a DIQCAM foi significantemente menor em pacientes mais jovens&#44; em mulheres e em pacientes com hipotireoidismo&#46; Al&#233;m disso&#44; a COVID&#8208;19 grave foi significantemente mais prevalente em homens&#44; idade mais avan&#231;ada&#44; em pacientes com AAG e quando houve in&#237;cio precoce da alopecia&#46;</p><p id="par0115" class="elsevierStylePara elsevierViewall">A maioria dos pacientes era do sexo feminino&#44; geralmente na terceira e quarta d&#233;cadas de vida&#44; n&#227;o fumantes&#44; n&#227;o etilistas e n&#227;o viciadas em drogas&#59; a maioria teve COVID&#8208;19 grau III&#59; a AAG foi o tipo de alopecia concomitante mais comum&#44; com 7&#44;65<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>1&#44;739 semanas de DIQCAM ap&#243;s a doen&#231;a&#46;</p><p id="par0120" class="elsevierStylePara elsevierViewall">No presente estudo&#44; 77&#44;9&#37; dos pacientes eram do sexo feminino&#44; com apresenta&#231;&#227;o mais precoce da alopecia e&#44; em sua maioria&#44; tiveram COVID&#8208;19 de grau inferior ao dos homens&#46; Acreditamos que as mulheres se dirigem mais cedo aos m&#233;dicos por causa de sua sensibilidade &#224; beleza<a class="elsevierStyleCrossRef" href="#bib0135"><span class="elsevierStyleSup">12</span></a> e aos cabelos longos&#44; o que torna a alopecia mais evidente&#46; Por outro lado&#44; a alta preval&#234;ncia de alguns transtornos&#44; como estresse emocional&#44;<a class="elsevierStyleCrossRef" href="#bib0105"><span class="elsevierStyleSup">6</span></a> anormalidades da tireoide<a class="elsevierStyleCrossRefs" href="#bib0110"><span class="elsevierStyleSup">7&#44;8</span></a> e anemia no sexo feminino&#44; torna&#8208;as propensas ao in&#237;cio precoce do ET&#46; A m&#233;dia de idade dos pacientes foi de 31 anos&#46; No entanto&#44; um estudo relatou tr&#234;s mulheres em idade avan&#231;ada com ET&#44; com rela&#231;&#227;o &#224; infec&#231;&#227;o por SARS&#8208;CoV&#8208;2&#46;<a class="elsevierStyleCrossRef" href="#bib0105"><span class="elsevierStyleSup">6</span></a> Al&#233;m disso&#44; Moreno&#8208;Arrones et al&#46;<a class="elsevierStyleCrossRef" href="#bib0135"><span class="elsevierStyleSup">12</span></a> encontraram uma m&#233;dia de idade de 47&#44;4 anos para os pacientes que apresentaram ET ap&#243;s COVID&#8208;19&#46; Embora os idosos sejam especialmente afetados na epidemia global de COVID&#8208;19&#44; a doen&#231;a pode ser mais prevalente em algumas faixas et&#225;rias em cada &#225;rea geogr&#225;fica&#46; Parece que&#44; em nossa regi&#227;o&#44; os pacientes com COVID&#8208;19 s&#227;o mais jovens e mais sens&#237;veis &#224; alopecia&#44; de modo que a m&#233;dia de idade dos pacientes em nossa regi&#227;o &#233; menor do que em outras &#225;reas&#46;</p><p id="par0125" class="elsevierStylePara elsevierViewall">Defici&#234;ncia de vitamina D &#40;24&#44;3&#37;&#41; e hipotireoidismo &#40;21&#37;&#41; foram os achados mais comuns&#46; Ambos os dist&#250;rbios s&#227;o a principal causa de alopecia e ET&#59;<a class="elsevierStyleCrossRefs" href="#bib0105"><span class="elsevierStyleSup">6&#44;7</span></a> portanto&#44; podem exacerbar ou tornar a alopecia cr&#244;nica em associa&#231;&#227;o com a infec&#231;&#227;o por COVID&#8208;19&#46;</p><p id="par0130" class="elsevierStylePara elsevierViewall">O hipotireoidismo resultou em in&#237;cio precoce de alopecia ap&#243;s melhora da infec&#231;&#227;o por COVID&#8208;19&#46; Portanto&#44; o hipotireoidismo &#233; um fator muito importante&#44; que acelera a progress&#227;o do fol&#237;culo piloso da fase an&#225;gena para a fase tel&#243;gena&#46;</p><p id="par0135" class="elsevierStylePara elsevierViewall">Em um estudo&#44; o DIQCAM da COVID&#8208;19 foi de 58&#44;6 dias&#44;<a class="elsevierStyleCrossRef" href="#bib0095"><span class="elsevierStyleSup">4</span></a> quase semelhante ao in&#237;cio da alopecia nos pacientes do presente estudo&#46; Nossos achados tamb&#233;m mostraram que pacientes com infec&#231;&#227;o grave por COVID&#8208;19 e pacientes do sexo feminino e jovens tiveram encaminhamento significantemente mais precoce&#46; Isso pode estar relacionado &#224; multiplicidade de fatores associados&#44; como estresse emocional&#44; ingest&#227;o de v&#225;rios medicamentos&#44; febre alta e dist&#250;rbios sist&#234;micos concomitantes na COVID&#8208;19 grave&#46;</p><p id="par0140" class="elsevierStylePara elsevierViewall">Mais de 50&#37; desses pacientes desenvolveram Graus III e IV da COVID&#8208;19&#44; ou seja doen&#231;a grave&#44; e apresentaram in&#237;cio precoce da alopecia&#46; A infec&#231;&#227;o grave por COVID&#8208;19 pode resultar em alta produ&#231;&#227;o de citocinas pr&#243;&#8208;inflamat&#243;rias e estado pr&#243;&#8208;inflamat&#243;rio&#46; Al&#233;m disso&#44; nessa situa&#231;&#227;o&#44; a cascata de coagula&#231;&#227;o &#233; ativada e a circula&#231;&#227;o de agentes anticoagulantes diminui&#46; Esses aspectos podem estar associados a microtrombos e oclus&#227;o de microvasos do fol&#237;culo piloso&#46; Adicionalmente&#44; a multiplicidade dos fatores de risco associados &#224; infec&#231;&#227;o grave por COVID&#8208;19 leva ao in&#237;cio precoce do ET&#46;<a class="elsevierStyleCrossRef" href="#bib0140"><span class="elsevierStyleSup">13</span></a></p><p id="par0145" class="elsevierStylePara elsevierViewall">A maioria dos pacientes do presente estudo era n&#227;o fumante&#44; n&#227;o etilista e n&#227;o era viciada em drogas&#59; portanto&#44; esses fatores tiveram um impacto m&#237;nimo na alopecia&#46; Entretanto&#44; essas vari&#225;veis podem levar &#224; alopecia por efeitos secund&#225;rios&#44; como desnutri&#231;&#227;o&#44; falta de higiene e dist&#250;rbios sist&#234;micos&#46;</p><p id="par0150" class="elsevierStylePara elsevierViewall">Wambier et al&#46;<a class="elsevierStyleCrossRef" href="#bib0145"><span class="elsevierStyleSup">14</span></a> mostraram que a maioria dos pacientes com COVID&#8208;19 grave ou hospitalizados apresentava AAG&#46; A AAG tamb&#233;m foi o tipo mais comum de alopecia concomitante nos pacientes do presente estudo&#46; A import&#226;ncia da coexist&#234;ncia de ET e AAG &#233; o mau progn&#243;stico&#44; com baixa possibilidade de melhora na densidade dos cabelos&#46;<a class="elsevierStyleCrossRef" href="#bib0150"><span class="elsevierStyleSup">15</span></a> Por outro lado&#44; a alta frequ&#234;ncia da coexist&#234;ncia de ET e AAG observada nos pacientes deste estudo est&#225; associada ao maior estresse emocional&#44; o que pode&#44; consequentemente&#44; agravar a alopecia&#46;</p><p id="par0155" class="elsevierStylePara elsevierViewall">Em rela&#231;&#227;o aos presentes achados&#44; consistentes com outros estudos&#44; idade mais avan&#231;ada e sexo masculino geralmente est&#227;o associados &#224; COVID&#8208;19 grave&#59;<a class="elsevierStyleCrossRefs" href="#bib0085"><span class="elsevierStyleSup">2&#44;3</span></a> portanto&#44; est&#227;o associados a hospitaliza&#231;&#227;o e a diversas complica&#231;&#245;es secund&#225;rias da infec&#231;&#227;o viral como outros fatores de risco para a indu&#231;&#227;o do ET&#46; Essas raz&#245;es justificam a possibilidade de maior incid&#234;ncia de ET e in&#237;cio precoce de alopecia em homens e casos graves de infec&#231;&#227;o por COVID&#8208;19&#46;</p></span><span id="sec0040" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0080">Conclus&#227;o</span><p id="par0160" class="elsevierStylePara elsevierViewall">A infec&#231;&#227;o por COVID&#8208;19 pode induzir ET&#44; tal como outras infec&#231;&#245;es virais agudas&#46; Entretanto&#44; diversos fatores&#44; como outras doen&#231;as associadas&#44; ingest&#227;o de v&#225;rios medicamentos&#44; estresse emocional&#44; hospitaliza&#231;&#227;o&#44; problemas nutricionais e algumas complica&#231;&#245;es secund&#225;rias de infec&#231;&#245;es virais &#40;como outros fatores de risco associados&#41; podem estar envolvidos na ativa&#231;&#227;o do ET&#46; Nos casos de in&#237;cio precoce da alopecia&#44; deve&#8208;se considerar a possibilidade de doen&#231;as concomitantes&#44; como hipotireoidismo e infec&#231;&#227;o grave por coronav&#237;rus&#46; Assim&#44; a presen&#231;a de v&#225;rios fatores deve ser considerada na indu&#231;&#227;o do ET&#46;</p></span><span id="sec0045" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0085">Suporte financeiro</span><p id="par0165" class="elsevierStylePara elsevierViewall">Nenhum&#46;</p></span><span id="sec0050" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0090">Contribui&#231;&#227;o dos autores</span><p id="par0170" class="elsevierStylePara elsevierViewall">Khaled Babaei&#58; 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        "resumen" => "<span id="abst0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0010">Fundamentos</span><p id="spar0005" class="elsevierStyleSimplePara elsevierViewall">Embora a pandemia da COVID&#8208;19 significantemente induza a mortalidade&#44; muitos dos pacientes que se recuperam apresentam outros problemas m&#233;dicos&#44; como alopecias&#46; O efl&#250;vio tel&#243;geno &#233; uma alopecia comum que geralmente est&#225; relacionada a eventos anteriores&#44; como doen&#231;as febris agudas&#44; incluindo a COVID&#8208;19&#46;</p></span> <span id="abst0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0015">Objetivo</span><p id="spar0010" class="elsevierStyleSimplePara elsevierViewall">Avaliar as caracter&#237;sticas do efl&#250;vio tel&#243;geno na COVID&#8208;19&#46;</p></span> <span id="abst0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0020">M&#233;todo</span><p id="spar0015" class="elsevierStyleSimplePara elsevierViewall">Este estudo transversal foi realizado em 526 pacientes com efl&#250;vio tel&#243;geno documentado que se recuperaram da COVID&#8208;19&#46; Dados demogr&#225;ficos&#44; alopecia concomitante&#44; dist&#250;rbios associados e gravidade da COVID&#8208;19 foram registrados&#46; Os dados foram analisados por m&#233;todos estat&#237;sticos apropriados&#46;</p></span> <span id="abst0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0025">Resultados</span><p id="spar0020" class="elsevierStyleSimplePara elsevierViewall">A m&#233;dia de idade dos 526 pacientes &#40;410 mulheres&#44; 116 homens&#41; foi de 30&#44;97 &#177;<span class="elsevierStyleHsp" style=""></span>9&#44;592 anos&#44; com m&#233;dia de 7&#44;65<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>1&#44;739 semanas de in&#237;cio da alopecia&#46; A defici&#234;ncia de vitamina D &#40;24&#44;3&#37;&#41;&#44; presen&#231;a de alopecia androgen&#233;tica &#40;78&#44;2&#37;&#41; e gravidade de COVID&#8208;19 grau III foram os achados mais comuns&#46; O in&#237;cio da alopecia foi significantemente mais r&#225;pido em indiv&#237;duos mais jovens&#44; do sexo feminino&#44; com hipotireoidismo e infec&#231;&#227;o por coronav&#237;rus mais grave&#46; A infec&#231;&#227;o por coronav&#237;rus de grau mais elevado foi observada significantemente em indiv&#237;duos do sexo masculino&#44; mais idosos&#44; de in&#237;cio precoce e com alopecia androgen&#233;tica&#46;</p></span> <span id="abst0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0030">Limita&#231;&#245;es do estudo</span><p id="spar0025" class="elsevierStyleSimplePara elsevierViewall">Estudo unic&#234;ntrico considerando vari&#225;veis limitadas&#46;</p></span> <span id="abst0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0035">Conclus&#227;o</span><p id="spar0030" class="elsevierStyleSimplePara elsevierViewall">Embora a infec&#231;&#227;o pelo SARS&#8208;CoV&#8208;2 possa ser um fator importante na indu&#231;&#227;o do efl&#250;vio tel&#243;geno&#44; outros fatores&#44; como doen&#231;as associadas&#44; ingest&#227;o de medicamentos e estresse emocional tamb&#233;m podem estar envolvidos&#46; Nos casos de in&#237;cio precoce da alopecia&#44; doen&#231;as concomitantes como hipotireoidismo e infec&#231;&#245;es graves pelo coronav&#237;rus podem ocorrer&#46; Portanto&#44; a presen&#231;a de v&#225;rios fatores na indu&#231;&#227;o do efl&#250;vio tel&#243;geno deve ser considerada&#46;</p></span>"
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                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Diabetes&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t">36 &#40;19&#44;9&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
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                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Anemia ferropriva&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">25 &#40;13&#44;8&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
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                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Sim&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">57 &#40;10&#44;8&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
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                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>N&#227;o&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t">469 &#40;89&#44;2&#37;&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>N&#227;o&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-entry\n
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                  \t\t\t\t\ttable-entry\n
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                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Sim&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
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                  \t\t\t\t\ttable-entry\n
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                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>N&#227;o&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">379 &#40;72&#44;1&#37;&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-entry\n
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                  \t\t\t\t\ttop\n
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                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Alopecia androgen&#233;tica&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">115 &#40;78&#44;2&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Alopecia areata&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">28 &#40;19&#44;0&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
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                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Alopecia cicatricial&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">4 &#40;2&#44;7&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
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                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " colspan="2" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleItalic">Grau da COVID&#8208;19 n &#40;&#37;&#41;</span></td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Grau I&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">100 &#40;19&#44;0&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Grau II&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">150 &#40;28&#44;5&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Grau III&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">193 &#40;36&#44;7&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Grau IV&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">83 &#40;15&#44;8&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Grau V&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0 &#40;0&#44;0&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Total&#44; n&#250;mero de pacientes&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">526 &#40;100&#44;0&#37;&#41;</span>&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">II&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">III&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Feminino&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">156&#40;38&#44;0&#37;&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">52&#40;12&#44;7&#37;&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">0&#44;03</td><td class="td" title="\n
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                  \t\t\t\t">252&#44;3&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">0&#44;001</td></tr><tr title="table-row"><td class="td-with-role" title="\n
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                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
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                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Masculino&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">17&#40;14&#44;7&#37;&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">31&#40;26&#44;6&#37;&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">37&#40;31&#44;9&#37;&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">31&#40;26&#44;7&#37;&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t">303&#44;2<a class="elsevierStyleCrossRef" href="#tblfn0005"><span class="elsevierStyleSup">a</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
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                  \t\t\t\t  " colspan="8" align="left" valign="\n
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                  \t\t\t\t"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="\n
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                  \t\t\t\t  " colspan="8" align="left" valign="\n
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                  \t\t\t\t"><span class="elsevierStyleItalic">DAAL</span></td></tr><tr title="table-row"><td class="td-with-role" title="\n
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                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
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                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Defici&#234;ncia de vitamina D&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t">6&#40;13&#44;6&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t">11&#40;25&#44;0&#37;&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">21&#40;47&#44;7&#37;&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">6&#40;13&#44;6&#37;&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " rowspan="5" align="left" valign="\n
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                  \t\t\t\t">0&#44;250</td><td class="td" title="\n
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                  \t\t\t\t">15&#44;89<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>3&#44;384&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t  " rowspan="5" align="left" valign="\n
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                  \t\t\t\t">0&#44;000</td></tr><tr title="table-row"><td class="td-with-role" title="\n
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                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Hipotireoidismo&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t">7&#40;18&#44;4&#37;&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">8&#40;21&#44;1&#37;&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">16&#40;42&#44;1&#37;&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">7&#40;18&#44;4&#37;&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">13&#44;79<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>2&#44;361&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
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                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>VHS elevada&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t">6&#40;15&#44;8&#37;&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">6&#40;15&#44;8&#37;&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">16&#40;42&#44;1&#37;&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">10&#40;26&#44;3&#37;&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">15&#44;26<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>2&#44;777&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
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                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Diabetes&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t">3&#40;8&#44;3&#37;&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">9&#40;25&#44;0&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t">16&#40;44&#44;4&#37;&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">8&#40;22&#44;2&#37;&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">15&#44;81<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>2&#44;703&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Anemia ferropriva&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t">4&#40;16&#44;0&#37;&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">6&#40;24&#44;0&#37;&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">10&#40;40&#44;0&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t">5&#40;20&#44;0&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t">15&#44;52<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>3&#44;137<a class="elsevierStyleCrossRef" href="#tblfn0010"><span class="elsevierStyleSup">b</span></a>&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " colspan="8" align="left" valign="\n
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                  \t\t\t\t"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " colspan="8" align="left" valign="\n
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                  \t\t\t\t"><span class="elsevierStyleItalic">Tipo de alopecia concomitante</span></td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Alopecia androgen&#233;tica&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">23&#40;20&#37;&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">33&#40;28&#44;7&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t">39&#40;33&#44;9&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t">20&#40;17&#44;4&#37;&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " rowspan="3" align="left" valign="\n
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                  \t\t\t\t">0&#44;038</td><td class="td" title="\n
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                  \t\t\t\t">15&#44;90<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>3&#44;115&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " rowspan="3" align="left" valign="\n
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                  \t\t\t\t">0&#44;568</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Alopecia areata&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t">2&#40;7&#44;1&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t">10&#40;35&#44;7&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t">11 &#40;39&#44;3&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t">5 &#40;17&#44;9&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t">15&#44;71<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>3&#44;196&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Alopecia cicatricial&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t">1&#40;25&#44;0&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t">2&#40;50&#44;0&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t">1&#40;25&#44;0&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t">0&#40;0&#44;0&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t">13&#44;75<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>3&#44;304<a class="elsevierStyleCrossRef" href="#tblfn0010"><span class="elsevierStyleSup">b</span></a>&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-entry\n
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]

Article information

ISSN: 26662752
Original language: Portuguese

DOI:10.1016/j.abdp.2021.09.027

The statistics are updated each day

Year/Month	Html	Pdf	Total

2024 November	15	3	18
2024 October	210	75	285
2024 September	246	89	335
2024 August	243	112	355
2024 July	273	113	386
2024 June	222	75	297
2024 May	219	77	296
2024 April	162	87	249
2024 March	185	80	265
2024 February	176	77	253
2024 January	136	57	193
2023 December	109	58	167
2023 November	181	95	276
2023 October	136	83	219
2023 September	172	109	281
2023 August	127	36	163
2023 July	182	45	227
2023 June	137	74	211
2023 May	174	39	213
2023 April	164	47	211
2023 March	202	60	262
2023 February	129	49	178
2023 January	152	45	197
2022 December	208	70	278
2022 November	208	103	311
2022 October	272	116	388
2022 September	171	127	298
2022 August	121	94	215
2022 July	140	93	233
2022 June	178	113	291
2022 May	193	113	306
2022 April	189	126	315
2022 March	181	153	334
2022 February	228	106	334
2022 January	367	184	551
2021 December	218	132	350
2021 November	195	127	322
2021 October	33	21	54

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