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Frailty, Comorbidity, and Associations With In-Hospital Mortality in Older COVID-19 Patients: Exploratory Study of Administrative Data.
Heyl, Johannes; Hardy, Flavien; Tucker, Katie; Hopper, Adrian; Marchã, Maria J M; Navaratnam, Annakan V; Briggs, Tim W R; Yates, Jeremy; Day, Jamie; Wheeler, Andrew; Eve-Jones, Sue; Gray, William K.
Afiliação
  • Heyl J; Department of Physics and Astronomy, University College London, London, United Kingdom.
  • Hardy F; Getting It Right First Time programme, National Health Service England and National Health Service Improvement, London, United Kingdom.
  • Tucker K; Getting It Right First Time programme, National Health Service England and National Health Service Improvement, London, United Kingdom.
  • Hopper A; Innovation and Intelligent Automation Unit, Royal Free London National Health Service Foundation Trust, London, United Kingdom.
  • Marchã MJM; Getting It Right First Time programme, National Health Service England and National Health Service Improvement, London, United Kingdom.
  • Navaratnam AV; Guy's and St Thomas' National Health Service Foundation Trust, London, United Kingdom.
  • Briggs TWR; Science and Technology Facilities Council Distributed Research Utilising Advanced Computing High Performance Computing Facility, University College London, London, United Kingdom.
  • Yates J; University College London Hospitals National Health Service Foundation Trust, London, United Kingdom.
  • Day J; Getting It Right First Time programme, National Health Service England and National Health Service Improvement, London, United Kingdom.
  • Wheeler A; Royal National Orthopaedic Hospital National Health Service Trust, London, United Kingdom.
  • Eve-Jones S; Department of Computer Science, University College London, London, United Kingdom.
  • Gray WK; Getting It Right First Time programme, National Health Service England and National Health Service Improvement, London, United Kingdom.
Interact J Med Res ; 11(2): e41520, 2022 Dec 12.
Article em En | MEDLINE | ID: mdl-36423306
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Interact J Med Res Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Reino Unido
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Interact J Med Res Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Reino Unido