Clinical features and risk factors for severe-critically ill COVID-19 adult patients in Jiangsu, China: A multiple-centered, retrospective study

Medicine (Baltimore). 2021 Feb 5;100(5):e24332. doi: 10.1097/MD.0000000000024332.

Abstract

Coronavirus disease 2019 (COVID-19) becomes a global pandemic in 2020. Early identification of severe ill patients is a top priority for clinicians. We aimed to describe clinical features and risk factors of severe-critically ill patients with COVID-19 in Jiangsu Province.This multi-centered retrospective study collected the information of 631 laboratory-confirmed COVID-19 patients hospitalized at 28 authorized hospitals in Jiangsu province from January 23, 2019 to March 13, 2020.A total of 583 adult patients with laboratory-confirmed COVID-19 were enrolled for final analysis, including 84 severe-critically ill patients and 499 mild-moderate patients. Median age of the severe-critically ill patients was 57.0 years old (interquartile range, 49.0-65.8), and 50 (59.5%) were males. Multisystemic laboratory abnormalities were observed on admission for severe-critically ill patients. These patients showed more noticeable radiologic abnormalities and more coexisting health issues as compared to the mild-moderate patients. Most of the severe-critically ill COVID-19 patients became deteriorated in 2 weeks after diagnosis. Age, D-dimer, and lymphocytes were independently associated with the progression of severe-critically illness.Older age, higher D-dimer levels and less lymphocyte counts on admission are potential risk factors for COVID-19 patients to develop into severe and critically illness.

Publication types

  • Multicenter Study

MeSH terms

  • Age Factors
  • COVID-19* / blood
  • COVID-19* / physiopathology
  • China / epidemiology
  • Critical Illness / therapy*
  • Disease Progression
  • Female
  • Fibrin Fibrinogen Degradation Products / analysis*
  • Hospitalization / statistics & numerical data
  • Humans
  • Lymphocyte Count* / methods
  • Lymphocyte Count* / statistics & numerical data
  • Male
  • Middle Aged
  • Retrospective Studies
  • Risk Factors
  • SARS-CoV-2* / isolation & purification
  • SARS-CoV-2* / pathogenicity
  • Severity of Illness Index
  • Symptom Assessment / statistics & numerical data*

Substances

  • Fibrin Fibrinogen Degradation Products
  • fibrin fragment D