Pre-existing traits associated with Covid-19 illness severity

PLoS One. 2020 Jul 23;15(7):e0236240. doi: 10.1371/journal.pone.0236240. eCollection 2020.

Abstract

Importance: Certain individuals, when infected by SARS-CoV-2, tend to develop the more severe forms of Covid-19 illness for reasons that remain unclear.

Objective: To determine the demographic and clinical characteristics associated with increased severity of Covid-19 infection.

Design: Retrospective observational study. We curated data from the electronic health record, and used multivariable logistic regression to examine the association of pre-existing traits with a Covid-19 illness severity defined by level of required care: need for hospital admission, need for intensive care, and need for intubation.

Setting: A large, multihospital healthcare system in Southern California.

Participants: All patients with confirmed Covid-19 infection (N = 442).

Results: Of all patients studied, 48% required hospitalization, 17% required intensive care, and 12% required intubation. In multivariable-adjusted analyses, patients requiring a higher levels of care were more likely to be older (OR 1.5 per 10 years, P<0.001), male (OR 2.0, P = 0.001), African American (OR 2.1, P = 0.011), obese (OR 2.0, P = 0.021), with diabetes mellitus (OR 1.8, P = 0.037), and with a higher comorbidity index (OR 1.8 per SD, P<0.001). Several clinical associations were more pronounced in younger compared to older patients (Pinteraction<0.05). Of all hospitalized patients, males required higher levels of care (OR 2.5, P = 0.003) irrespective of age, race, or morbidity profile.

Conclusions and relevance: In our healthcare system, greater Covid-19 illness severity is seen in patients who are older, male, African American, obese, with diabetes, and with greater overall comorbidity burden. Certain comorbidities paradoxically augment risk to a greater extent in younger patients. In hospitalized patients, male sex is the main determinant of needing more intensive care. Further investigation is needed to understand the mechanisms underlying these findings.

Publication types

  • Observational Study
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adolescent
  • Adult
  • Age Factors
  • Aged
  • Aged, 80 and over
  • Betacoronavirus
  • Black or African American
  • COVID-19
  • Child
  • Comorbidity
  • Coronavirus Infections / epidemiology*
  • Critical Care / statistics & numerical data*
  • Diabetes Mellitus
  • Female
  • Hospitalization / statistics & numerical data*
  • Humans
  • Los Angeles / epidemiology
  • Male
  • Middle Aged
  • Obesity
  • Pandemics
  • Pneumonia, Viral / epidemiology*
  • Retrospective Studies
  • Risk Factors
  • SARS-CoV-2
  • Young Adult

Grants and funding

This work was supported in part by the Erika J. Glazer Family Foundation (JEE; JEVE; CNBM; SC). The funder had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. There was no additional external funding received for this study.