Risk factors for mortality in critically ill patients with COVID-19: a multicenter retrospective case-control study

BMC Infect Dis. 2021 Jun 24;21(1):602. doi: 10.1186/s12879-021-06300-7.

Abstract

Background: Coronavirus disease 2019 (COVID-19) has spread around the world, until now, the number of positive and death cases is still increasing. Therefore, it remains important to identify risk factors for death in critically patients.

Methods: We collected demographic and clinical data on all severe inpatients with COVID-19. We used univariable and multivariable Cox regression methods to determine the independent risk factors related to likelihood of 28-day and 60-day survival, performing survival curve analysis.

Results: Of 325 patients enrolled in the study, Multi-factor Cox analysis showed increasing odds of in-hospital death associated with basic illness (hazard ratio [HR] 6.455, 95% Confidence Interval [CI] 1.658-25.139, P = 0.007), lymphopenia (HR 0.373, 95% CI 0.148-0.944, P = 0.037), higher Sequential Organ Failure Assessment (SOFA) score on admission (HR 1.171, 95% CI 1.013-1.354, P = 0.033) and being critically ill (HR 0.191, 95% CI 0.053-0.687, P = 0.011). Increasing 28-day and 60-day mortality, declining survival time and more serious inflammation and organ failure were associated with lymphocyte count < 0.8 × 109/L, SOFA score > 3, Acute Physiology and Chronic Health Evaluation II (APACHE II) score > 7, PaO2/FiO2 < 200 mmHg, IL-6 > 120 pg/ml, and CRP > 52 mg/L.

Conclusions: Being critically ill and lymphocyte count, SOFA score, APACHE II score, PaO2/FiO2, IL-6, and CRP on admission were associated with poor prognosis in COVID-19 patients.

Keywords: COVID-19; Mortality; Risk factors; SARS-COV-2.

Publication types

  • Multicenter Study

MeSH terms

  • APACHE
  • Adult
  • COVID-19 / mortality*
  • COVID-19 / pathology*
  • Case-Control Studies
  • Critical Illness*
  • Hospital Mortality
  • Humans
  • Inflammation
  • Lymphopenia
  • Male
  • Middle Aged
  • Organ Dysfunction Scores
  • Prognosis
  • ROC Curve
  • Retrospective Studies
  • Risk Factors
  • SARS-CoV-2*