The Clinical Course of Coronavirus Disease 2019 in a US Hospital System: A Multistate Analysis

Am J Epidemiol. 2021 Apr 6;190(4):539-552. doi: 10.1093/aje/kwaa286.

Abstract

There are limited data on longitudinal outcomes for coronavirus disease 2019 (COVID-19) hospitalizations that account for transitions between clinical states over time. Using electronic health record data from a hospital network in the St. Louis, Missouri, region, we performed multistate analyses to examine longitudinal transitions and outcomes among hospitalized adults with laboratory-confirmed COVID-19 with respect to 15 mutually exclusive clinical states. Between March 15 and July 25, 2020, a total of 1,577 patients in the network were hospitalized with COVID-19 (49.9% male; median age, 63 years (interquartile range, 50-75); 58.8% Black). Overall, 34.1% (95% confidence interval (CI): 26.4, 41.8) had an intensive care unit admission and 12.3% (95% CI: 8.5, 16.1) received invasive mechanical ventilation (IMV). The risk of decompensation peaked immediately after admission; discharges peaked around days 3-5, and deaths plateaued between days 7 and 16. At 28 days, 12.6% (95% CI: 9.6, 15.6) of patients had died (4.2% (95% CI: 3.2, 5.2) had received IMV) and 80.8% (95% CI: 75.4, 86.1) had been discharged. Among those receiving IMV, 35.1% (95% CI: 28.2, 42.0) remained intubated after 14 days; after 28 days, 37.6% (95% CI: 30.4, 44.7) had died and only 37.7% (95% CI: 30.6, 44.7) had been discharged. Multistate methods offer granular characterizations of the clinical course of COVID-19 and provide essential information for guiding both clinical decision-making and public health planning.

Keywords: COVID-19 hospitalizations; age-stratified mortality; clinical course; coronavirus disease 2019; intensive care unit; longitudinal trajectory; mechanical ventilation; multistate analysis.

Publication types

  • Research Support, N.I.H., Extramural

MeSH terms

  • Aged
  • COVID-19 / epidemiology*
  • COVID-19 / therapy
  • Female
  • Hospitalization / trends*
  • Humans
  • Intensive Care Units / statistics & numerical data*
  • Male
  • Middle Aged
  • Pandemics*
  • Respiration, Artificial / methods*
  • Retrospective Studies
  • SARS-CoV-2*
  • United States / epidemiology