Predictive factors for disease progression in hospitalized patients with coronavirus disease 2019 in Wuhan, China

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Jun Zhang1, Miao Yu2, Song Tong1

  • 1Department of Thoracic Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.

Journal of Clinical Virology : the Official Publication of the Pan American Society for Clinical Virology
|May 4, 2020
PubMed

Insights

Male gender, comorbidity, lymphopenia, and elevated C-reactive protein (CRP) are independent risk factors for poor prognosis in hospitalized COVID-19 patients. Early identification of high-risk individuals can be facilitated by these findings.

Area of Science:

  • Infectious Diseases
  • Internal Medicine
  • Critical Care Medicine

Background:

  • Limited understanding of predictive factors for COVID-19 patient outcomes.
  • Previous studies focused on clinical characteristics of hospitalized COVID-19 patients.

Purpose of the Study:

  • To identify predictive factors for poor outcomes in hospitalized COVID-19 patients.
  • To aid in the early identification of high-risk COVID-19 cases.

Main Methods:

  • Single-center, retrospective study of 111 hospitalized COVID-19 patients.
  • Analysis of clinical, laboratory, and treatment data.
  • Comparison of data between discharged and deteriorated patient groups.

Main Results:

  • Deteriorated patients had lower lymphocyte counts and higher levels of pulmonary lobe involvement, C-reactive protein (CRP), IL-6, and IL-10 compared to discharged patients.
  • Independent risk factors for poor prognosis included male gender, comorbidity, lymphopenia, and elevated CRP.
  • Multivariate logistic regression identified these factors with significant odds ratios.

Conclusions:

  • Male gender, comorbidity, lymphopenia, and elevated CRP are significant independent risk factors for poor prognosis in COVID-19.
  • These findings can assist in the early identification of high-risk COVID-19 patients.
  • Facilitates timely intervention and resource allocation for critically ill patients.
Abstract

Keywords:
Coronavirus disease 2019Predictive factorsPrognosis

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