Predictors of life-threatening complications in relatively lower-risk patients hospitalized with COVID-19

PLoS One. 2022 Feb 15;17(2):e0263995. doi: 10.1371/journal.pone.0263995. eCollection 2022.

Abstract

Older individuals with chronic health conditions are at highest risk of adverse clinical outcomes from COVID-19, but there is widespread belief that risk to younger, relatively lower-risk individuals is negligible. We assessed the rate and predictors of life-threatening complications among relatively lower-risk adults hospitalized with COVID-19. Of 3766 adults hospitalized with COVID-19 to three hospitals in New York City from March to May 2020, 963 were relatively lower-risk based on absence of preexisting health conditions. Multivariable logistic regression models examined in-hospital development of life-threatening complications (major medical events, intubation, or death). Covariates included age, sex, race/ethnicity, hypertension, weight, insurance type, and area-level sociodemographic factors (poverty, crowdedness, and limited English proficiency). In individuals ≥55 years old (n = 522), 33.3% experienced a life-threatening complication, 17.4% were intubated, and 22.6% died. Among those <55 years (n = 441), 15.0% experienced a life-threatening complication, 11.1% were intubated, and 5.9% died. In multivariable analyses among those ≥55 years, age (OR 1.03 [95%CI 1.01-1.06]), male sex (OR 1.72 [95%CI 1.14-2.64]), being publicly insured (versus commercial insurance: Medicare, OR 2.02 [95%CI 1.22-3.38], Medicaid, OR 1.87 [95%CI 1.10-3.20]) and living in areas with relatively high limited English proficiency (highest versus lowest quartile: OR 3.50 [95%CI 1.74-7.13]) predicted life-threatening complications. In those <55 years, no sociodemographic factors significantly predicted life-threatening complications. A substantial proportion of relatively lower-risk patients hospitalized with COVID-19 experienced life-threatening complications and more than 1 in 20 died. Public messaging needs to effectively convey that relatively lower-risk individuals are still at risk of serious complications.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Age Factors
  • COVID-19 / complications
  • COVID-19 / ethnology
  • COVID-19 / pathology*
  • COVID-19 / virology
  • Female
  • Hospital Mortality
  • Hospitalization / statistics & numerical data*
  • Humans
  • Hypertension / complications*
  • Length of Stay
  • Logistic Models
  • Male
  • Middle Aged
  • New York City
  • Proportional Hazards Models
  • Retrospective Studies
  • Risk Factors
  • SARS-CoV-2 / isolation & purification
  • Severity of Illness Index
  • Sex Factors

Grants and funding

CJG was supported by the Diversity Center of Excellence (grant D34HP31879 from the Health Resources and Services Administration), the Clinical and Translational Science Center (grant UL1 TR000457 from the National Institutes of Health), New York–Presbyterian Hospital, and Weill Cornell Medicine. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.