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Characteristics and outcomes of hospitalised adults with COVID-19 in a Global Health Research Network: a cohort study.
Zhu, Julia; Wei, Zhongyuan; Suryavanshi, Manasi; Chen, Xiu; Xia, Qian; Jiang, Jenny; Ayodele, Olulade; Bradbury, Brian D; Brooks, Corinne; Brown, Carolyn A; Cheng, Alvan; Critchlow, Cathy W; Devercelli, Giovanna; Gandhi, Vivek; Gondek, Kathleen; Londhe, Ajit A; Ma, Junjie; Jonsson-Funk, Michele; Keenan, Hillary A; Manne, Sudhakar; Ren, Kaili; Sanders, Lynn; Yu, Peter; Zhang, Jie; Zhou, Linyun; Bao, Ying.
Afiliación
  • Zhu J; Center for Observational Research and Data Science, Bristol-Myers Squibb, Princeton, New Jersey, USA.
  • Wei Z; Center for Observational Research and Data Science, Bristol-Myers Squibb, Princeton, New Jersey, USA.
  • Suryavanshi M; Center for Observational Research and Data Science, Bristol-Myers Squibb, Princeton, New Jersey, USA.
  • Chen X; Center for Observational Research and Data Science, Bristol-Myers Squibb, Princeton, New Jersey, USA.
  • Xia Q; Center for Observational Research and Data Science, Bristol-Myers Squibb, Princeton, New Jersey, USA.
  • Jiang J; Center for Observational Research and Data Science, Bristol-Myers Squibb, Princeton, New Jersey, USA.
  • Ayodele O; Data Sciences Institute, Takeda Pharmaceutical Company Limited, Cambridge, Massachusetts, USA.
  • Bradbury BD; Center for Observational Research, Amgen, Inc, Thousand Oaks, California, USA.
  • Brooks C; Center for Observational Research, Amgen, Inc, Thousand Oaks, California, USA.
  • Brown CA; Center for Observational Research, Amgen, Inc, Thousand Oaks, California, USA.
  • Cheng A; Center for Observational Research, Amgen, Inc, Thousand Oaks, California, USA.
  • Critchlow CW; Research & Development Strategy & Operations, Amgen, Inc, Thousand Oaks, California, USA.
  • Devercelli G; Data Sciences Institute, Takeda Pharmaceutical Company Limited, Cambridge, Massachusetts, USA.
  • Gandhi V; Data Sciences Institute, Takeda Pharmaceutical Company Limited, Cambridge, Massachusetts, USA.
  • Gondek K; Data Sciences Institute, Takeda Pharmaceutical Company Limited, Cambridge, Massachusetts, USA.
  • Londhe AA; Center for Observational Research, Amgen, Inc, Thousand Oaks, California, USA.
  • Ma J; Center for Observational Research, Amgen, Inc, Thousand Oaks, California, USA.
  • Jonsson-Funk M; Department of Epidemiology, University of North Carolina, Chapel Hill, North Carolina, USA.
  • Keenan HA; Data Sciences Institute, Takeda Pharmaceutical Company Limited, Cambridge, Massachusetts, USA.
  • Manne S; Data Sciences Institute, Takeda Pharmaceutical Company Limited, Cambridge, Massachusetts, USA.
  • Ren K; Data Sciences Institute, Takeda Pharmaceutical Company Limited, Cambridge, Massachusetts, USA.
  • Sanders L; Data Sciences Institute, Takeda Pharmaceutical Company Limited, Cambridge, Massachusetts, USA.
  • Yu P; Data Sciences Institute, Takeda Pharmaceutical Company Limited, Cambridge, Massachusetts, USA.
  • Zhang J; Center for Observational Research, Amgen, Inc, Thousand Oaks, California, USA.
  • Zhou L; Data Sciences Institute, Takeda Pharmaceutical Company Limited, Cambridge, Massachusetts, USA.
  • Bao Y; Center for Observational Research and Data Science, Bristol-Myers Squibb, Princeton, New Jersey, USA ying.bao@bms.com.
BMJ Open ; 11(8): e051588, 2021 08 06.
Article en En | MEDLINE | ID: mdl-34362806
OBJECTIVE: To examine age, gender, and temporal differences in baseline characteristics and clinical outcomes of adult patients hospitalised with COVID-19. DESIGN: A cohort study using deidentified electronic medical records from a Global Research Network. SETTING/PARTICIPANTS: 67 456 adult patients hospitalised with COVID-19 from the USA; 7306 from Europe, Latin America and Asia-Pacific between February 2020 and January 2021. RESULTS: In the US cohort, compared with patients 18-34 years old, patients ≥65 had a greater risk of intensive care unit (ICU) admission (adjusted HR (aHR) 1.73, 95% CI 1.58 to 1.90), acute respiratory distress syndrome(ARDS)/respiratory failure (aHR 1.86, 95% CI 1.76 to 1.96), invasive mechanical ventilation (IMV, aHR 1.93, 95% CI, 1.73 to 2.15), and all-cause mortality (aHR 5.6, 95% CI 4.36 to 7.18). Men appeared to be at a greater risk for ICU admission (aHR 1.34, 95% CI 1.29 to 1.39), ARDS/respiratory failure (aHR 1.24, 95% CI1.21 to 1.27), IMV (aHR 1.38, 95% CI 1.32 to 1.45), and all-cause mortality (aHR 1.16, 95% CI 1.08 to 1.24) compared with women. Moreover, we observed a greater risk of adverse outcomes during the early pandemic (ie, February-April 2020) compared with later periods. In the ex-US cohort, the age and gender trends were similar; for the temporal trend, the highest proportion of patients with all-cause mortality were also in February-April 2020; however, the highest percentages of patients with IMV and ARDS/respiratory failure were in August-October 2020 followed by February-April 2020. CONCLUSIONS: This study provided valuable information on the temporal trends of characteristics and outcomes of hospitalised adult COVID-19 patients in both USA and ex-USA. It also described the population at a potentially greater risk for worse clinical outcomes by identifying the age and gender differences. Together, the information could inform the prevention and treatment strategies of COVID-19. Furthermore, it can be used to raise public awareness of COVID-19's impact on vulnerable populations.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: COVID-19 Tipo de estudio: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Adolescent / Adult / Female / Humans / Male Idioma: En Revista: BMJ Open Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: COVID-19 Tipo de estudio: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Adolescent / Adult / Female / Humans / Male Idioma: En Revista: BMJ Open Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Reino Unido