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Trends in characteristics and outcomes among US adults hospitalised with COVID-19 throughout 2020: an observational cohort study.
Page, John H; Londhe, Ajit A; Brooks, Corinne; Zhang, Jie; Sprafka, J Michael; Bennett, Corina; Braunlin, Megan; Brown, Carolyn A; Charuworn, Prista; Cheng, Alvan; Gill, Karminder; He, Fang; Ma, Junjie; Petersen, Jeffrey; Ayodele, Olulade; Bao, Ying; Carlson, Katherine B; Chang, Shun-Chiao; Devercelli, Giovanna; Jonsson-Funk, Michele; Jiang, Jenny; Keenan, Hillary A; Ren, Kaili; Roehl, Kimberly A; Sanders, Lynn; Wang, Luyang; Wei, Zhongyuan; Xia, Qian; Yu, Peter; Zhou, Linyun; Zhu, Julia; Gondek, Kathleen; Critchlow, Cathy W; Bradbury, Brian D.
  • Page JH; Center for Observational Research, Amgen Inc, Thousand Oaks, California, USA jopage@amgen.com.
  • Londhe AA; Center for Observational Research, Amgen Inc, Thousand Oaks, California, USA.
  • Brooks C; Center for Observational Research, Amgen Inc, Thousand Oaks, California, USA.
  • Zhang J; Center for Observational Research, Amgen Inc, Thousand Oaks, California, USA.
  • Sprafka JM; Center for Observational Research, Amgen Inc, Thousand Oaks, California, USA.
  • Bennett C; Woodford Research Associates, Thousand Oaks, California, USA.
  • Braunlin M; Center for Observational Research, Amgen Inc, Thousand Oaks, California, USA.
  • Brown CA; Center for Observational Research, Amgen Inc, Thousand Oaks, California, USA.
  • Charuworn P; Center for Observational Research, Amgen Inc, Thousand Oaks, California, USA.
  • Cheng A; Inflammation, Global Development, Amgen Inc, Thousand Oaks, California, USA.
  • Gill K; Center for Observational Research, Amgen Inc, Thousand Oaks, California, USA.
  • He F; Center for Observational Research, Amgen Inc, Thousand Oaks, California, USA.
  • Ma J; Center for Observational Research, Amgen Inc, Thousand Oaks, California, USA.
  • Petersen J; Center for Observational Research, Amgen Inc, Thousand Oaks, California, USA.
  • Ayodele O; Medical Sciences, Amgen Inc, Thousand Oaks, California, USA.
  • Bao Y; Data Sciences Institute, Takeda Pharmaceutical Company Limited, Cambridge, Massachusetts, USA.
  • Carlson KB; Center for Observational Research and Data Science, Bristol-Myers Squibb, Princeton, New Jersey, USA.
  • Chang SC; Center for Observational Research, Amgen Inc, Thousand Oaks, California, USA.
  • Devercelli G; Data Sciences Institute, Takeda Pharmaceutical Company Limited, Cambridge, Massachusetts, USA.
  • Jonsson-Funk M; Data Sciences Institute, Takeda Pharmaceutical Company Limited, Cambridge, Massachusetts, USA.
  • Jiang J; Global Evidence and Outcomes, Takeda Pharmaceutical Company Limited, Pinehurst, North Carolina, USA.
  • Keenan HA; Epidemiology, UNC Gillings School of Global Public Health, Chapel Hill, North Carolina, USA.
  • Ren K; Center for Observational Research and Data Science, Bristol-Myers Squibb, Princeton, New Jersey, USA.
  • Roehl KA; Data Sciences Institute, Takeda Pharmaceutical Company Limited, Cambridge, Massachusetts, USA.
  • Sanders L; Data Sciences Institute, Takeda Pharmaceutical Company Limited, Cambridge, Massachusetts, USA.
  • Wang L; Center for Observational Research, Amgen Inc, Thousand Oaks, California, USA.
  • Wei Z; Data Sciences Institute, Takeda Pharmaceutical Company Limited, Cambridge, Massachusetts, USA.
  • Xia Q; Data Sciences Institute, Takeda Pharmaceutical Company Limited, Cambridge, Massachusetts, USA.
  • Yu P; Center for Observational Research and Data Science, Bristol-Myers Squibb, Princeton, New Jersey, USA.
  • Zhou L; Center for Observational Research and Data Science, Bristol-Myers Squibb, Princeton, New Jersey, USA.
  • Zhu J; Data Sciences Institute, Takeda Pharmaceutical Company Limited, Cambridge, Massachusetts, USA.
  • Gondek K; Data Sciences Institute, Takeda Pharmaceutical Company Limited, Cambridge, Massachusetts, USA.
  • Critchlow CW; Center for Observational Research and Data Science, Bristol-Myers Squibb, Princeton, New Jersey, USA.
  • Bradbury BD; Data Sciences Institute, Takeda Pharmaceutical Company Limited, Cambridge, Massachusetts, USA.
BMJ Open ; 12(2): e055137, 2022 02 28.
Article in English | MEDLINE | ID: covidwho-1714413
ABSTRACT

OBJECTIVES:

To examine the temporal patterns of patient characteristics, treatments used and outcomes associated with COVID-19 in patients who were hospitalised for the disease between January and 15 November 2020.

DESIGN:

Observational cohort study.

SETTING:

COVID-19 subset of the Optum deidentified electronic health records, including more than 1.8 million patients from across the USA.

PARTICIPANTS:

There were 51 510 hospitalised patients who met the COVID-19 definition, with 37 617 in the laboratory positive cohort and 13 893 in the clinical cohort. PRIMARY AND SECONDARY OUTCOME

MEASURES:

Incident acute clinical outcomes, including in-hospital all-cause mortality.

RESULTS:

Respectively, 48% and 49% of the laboratory positive and clinical cohorts were women. The 50- 65 age group was the median age group for both cohorts. The use of antivirals and dexamethasone increased over time, fivefold and twofold, respectively, while the use of hydroxychloroquine declined by 98%. Among adult patients in the laboratory positive cohort, absolute age/sex standardised incidence proportion for in-hospital death changed by -0.036 per month (95% CI -0.042 to -0.031) from March to June 2020, but remained fairly flat from June to November, 2020 (0.001 (95% CI -0.001 to 0.003), 17.5% (660 deaths /3986 persons) in March and 10.2% (580/5137) in October); in the clinical cohort, the corresponding changes were -0.024 (95% CI -0.032 to -0.015) and 0.011 (95% CI 0.007 0.014), respectively (14.8% (175/1252) in March, 15.3% (189/1203) in October). Declines in the cumulative incidence of most acute clinical outcomes were observed in the laboratory positive cohort, but not for the clinical cohort.

CONCLUSION:

The incidence of adverse clinical outcomes remains high among COVID-19 patients with clinical diagnosis only. Patients with COVID-19 entering the hospital are at elevated risk of adverse outcomes.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Cohort study / Observational study / Prognostic study Limits: Adult / Female / Humans Language: English Journal: BMJ Open Year: 2022 Document Type: Article Affiliation country: Bmjopen-2021-055137

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Cohort study / Observational study / Prognostic study Limits: Adult / Female / Humans Language: English Journal: BMJ Open Year: 2022 Document Type: Article Affiliation country: Bmjopen-2021-055137