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A nomogram for predicting hospital mortality of critical ill patients with sepsis and cancer: a retrospective cohort study based on MIMIC-IV and eICU-CRD.
Yuan, Zhen-Nan; Xue, Yu-Juan; Wang, Hai-Jun; Qu, Shi-Ning; Huang, Chu-Lin; Wang, Hao; Zhang, Hao; Xing, Xue-Zhong.
Afiliação
  • Yuan ZN; Department of Intensive Care Unit, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, 100021, Beijing, China.
  • Xue YJ; Department of pediatrics, Peking University People's Hospital, Beijing, China.
  • Wang HJ; Department of Intensive Care Unit, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, 100021, Beijing, China.
  • Qu SN; Department of Intensive Care Unit, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, 100021, Beijing, China.
  • Huang CL; Department of Intensive Care Unit, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, 100021, Beijing, China.
  • Wang H; Department of Intensive Care Unit, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, 100021, Beijing, China.
  • Zhang H; Department of Intensive Care Unit, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, 100021, Beijing, China.
  • Xing XZ; Department of Intensive Care Unit, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, 100021, Beijing, China xxzncc@163.com.
BMJ Open ; 13(9): e072112, 2023 09 11.
Article em En | MEDLINE | ID: mdl-37696627
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Sepse / Neoplasias Tipo de estudo: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: BMJ Open Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China
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: Sepse / Neoplasias Tipo de estudo: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: BMJ Open Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China