Trends in characteristics and outcomes among US adults hospitalised with COVID-19 throughout 2020: An observational cohort study

Public Deposited
Analytics

Downloadable Content

Download PDF
Request Version for Screen Reader
Creator
  • Page, J.H
    • Other Affiliation: Center for Observational Research, Amgen Inc, Thousand Oaks, CA, United States
  • Londhe, A.A
    • Other Affiliation: Center for Observational Research, Amgen Inc, Thousand Oaks, CA, United States
  • Brooks, C
    • Other Affiliation: Center for Observational Research, Amgen Inc, Thousand Oaks, CA, United States
  • Zhang, J
    • Other Affiliation: Center for Observational Research, Amgen Inc, Thousand Oaks, CA, United States
  • Sprafka, J.M
    • Other Affiliation: Center for Observational Research, Amgen Inc, Thousand Oaks, CA, United States
  • Bennett, C
    • Other Affiliation: Center for Observational Research, Amgen Inc, Thousand Oaks, CA, United States
  • Braunlin, M
    • Other Affiliation: Center for Observational Research, Amgen Inc, Thousand Oaks, CA, United States
  • Brown, C.A
    • Other Affiliation: Center for Observational Research, Amgen Inc, Thousand Oaks, CA, United States
  • Charuworn, P
    • Other Affiliation: Inflammation, Global Development, Amgen Inc, Thousand Oaks, CA, United States
  • Cheng, A
    • Other Affiliation: Center for Observational Research, Amgen Inc, Thousand Oaks, CA, United States
  • Gill, K
    • Other Affiliation: Center for Observational Research, Amgen Inc, Thousand Oaks, CA, United States
  • He, F
    • Other Affiliation: Center for Observational Research, Amgen Inc, Thousand Oaks, CA, United States
  • Ma, J
    • Other Affiliation: Center for Observational Research, Amgen Inc, Thousand Oaks, CA, United States
  • Petersen, J
    • Other Affiliation: Medical Sciences, Amgen Inc, Thousand Oaks, CA, United States
  • Ayodele, O
    • Other Affiliation: Data Sciences Institute, Takeda Pharmaceutical Company Limited, Cambridge, MA, United States
  • Bao, Y
    • Other Affiliation: Center for Observational Research and Data Science, Bristol-Myers Squibb, Princeton, NJ, United States
  • Carlson, K.B
    • Other Affiliation: Center for Observational Research, Amgen Inc, Thousand Oaks, CA, United States
  • Chang, S.-C.
    • Other Affiliation: Data Sciences Institute, Takeda Pharmaceutical Company Limited, Cambridge, MA, United States
  • Devercelli, G
    • Other Affiliation: Data Sciences Institute, Takeda Pharmaceutical Company Limited, Cambridge, MA, United States
  • Jonsson-Funk, M
    • Affiliation: Gillings School of Global Public Health, Department of Epidemiology
  • Jiang, J
  • Keenan, H.A
    • Other Affiliation: Data Sciences Institute, Takeda Pharmaceutical Company Limited, Cambridge, MA, United States
  • Ren, K
    • Other Affiliation: Data Sciences Institute, Takeda Pharmaceutical Company Limited, Cambridge, MA, United States
  • Roehl, K.A
    • Other Affiliation: Center for Observational Research, Amgen Inc, Thousand Oaks, CA, United States
  • Sanders, L
    • Other Affiliation: Data Sciences Institute, Takeda Pharmaceutical Company Limited, Cambridge, MA, United States
  • Wang, L
    • Other Affiliation: Data Sciences Institute, Takeda Pharmaceutical Company Limited, Cambridge, MA, United States
  • Wei, Z.
    • Other Affiliation: Center for Observational Research and Data Science, Bristol-Myers Squibb, Princeton, NJ, United States
  • Xia, Q.
    • Other Affiliation: Center for Observational Research and Data Science, Bristol-Myers Squibb, Princeton, NJ, United States
  • Yu, P.
    • Other Affiliation: Data Sciences Institute, Takeda Pharmaceutical Company Limited, Cambridge, MA, United States
  • Zhou, L.
    • Other Affiliation: Data Sciences Institute, Takeda Pharmaceutical Company Limited, Cambridge, MA, United States
  • Zhu, J.
    • Other Affiliation: Center for Observational Research and Data Science, Bristol-Myers Squibb, Princeton, NJ, United States
  • Gondek, K.
    • Other Affiliation: Data Sciences Institute, Takeda Pharmaceutical Company Limited, Cambridge, MA, United States
  • Critchlow, C.W
    • Other Affiliation: RandD Human Data, Amgen Inc, Thousand Oaks, CA, United States
  • Bradbury, B.D.
    • Other Affiliation: Center for Observational Research, Amgen Inc, Thousand Oaks, CA, United States
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.
Date of publication
Keyword
DOI
Identifier
Resource type
  • Article
License
  • Attribution-NonCommercial 4.0 International
Journal title
  • BMJ Open
Journal volume
  • 12
Journal issue
  • 2
Language
  • English
Version
  • Publisher
Funder
  • Amgen
ISSN
  • 2044-6055
Publisher
  • BMJ Publishing Group

Relations

Parents:

This work has no parents.

In Collection:

Items

Thumbnail Title Date Uploaded Visibility Actions
file details bmjopen-2021-055137.pdf 2024-03-18 Public Download