Your browser doesn't support javascript.
loading
Impaired kidney function biomarkers and risk of severe COVID-19: Analysis of population-based cohort data.
Lin, Yifei; Ma, Baoshan; Yang, Yingxi; Chen, Yuxiang; Huang, Jin; Li, Weimin; Yu, Xueqing; Liang, Liming.
Afiliação
  • Lin Y; West China Hospital, Sichuan University, Chengdu, China.
  • Ma B; Program in Genetic Epidemiology and Statistical Genetics, Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.
  • Yang Y; College of Information Science and Technology, Dalian Maritime University, Dalian, China.
  • Chen Y; Department of Statistics, Sun Yat-sen University, Guangzhou, China.
  • Huang J; Program in Genetic Epidemiology and Statistical Genetics, Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.
  • Li W; West China Hospital, Sichuan University, Chengdu, China.
  • Yu X; Department of Respiratory and Critical Care Medicine/Institute of Respiratory Health, Frontiers Science Center for Disease-related Molecular Network/Precision Medicine Research Center/The Research Units of West China, Chinese Academy of Medical Sciences, West China Hospital, Sichuan University, Chen
  • Liang L; Department of Nephrology, Guangdong Provincial People's Hospital, Guangzhou, China.
Mol Genet Genomic Med ; 10(11): e2047, 2022 11.
Article em En | MEDLINE | ID: mdl-36124564
Assuntos
Palavras-chave
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Insuficiência Renal / COVID-19 Tipo de estudo: Etiology_studies / Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Humans / Male Idioma: En Revista: Mol Genet Genomic Med Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China País de publicação: Estados Unidos
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Insuficiência Renal / COVID-19 Tipo de estudo: Etiology_studies / Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Humans / Male Idioma: En Revista: Mol Genet Genomic Med Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China País de publicação: Estados Unidos