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

https://doi.org/10.1016/j.jcv.2020.104392Get rights and content

Highlights

  • Male gender and comorbidity were the independent risk factors for death in COVID-19 patients.

  • Lymphopenia and high CRP were the independent risk factors for poor outcome in COVID-19.

  • The risk factors would facilitate early identification of high-risk COVID-19 patients.

Abstract

Background

A few studies have revealed the clinical characteristics of hospitalized patients with COVID-19. However, predictive factors for the outcomes remain unclear.

Objective

Attempted to determine the predictive factors for the poor outcomes of patients with COVID-19.

Study design

This is a single-center, retrospective study. Clinical, laboratory, and treatment data were collected and analyzed from 111 hospitalized patients with laboratory-confirmed COVID-19 in Union Hospital. The gathered data of discharged and deteriorated patients were compared.

Results

Among these 111 patients, 93 patients were discharged and 18 patients were deteriorated. The lymphocyte count (0.56 G/L [0.47−0.63] vs 1.30 G/L [0.95−1.65]) was lower in the deteriorated group than those in the discharged group. The numbers of pulmonary lobe involved (5.00 [5.00–5.00] vs 4.00 [2.00−5.00]), serum C‐reactive protein (CRP, 79.52 mg/L [61.25−102.98] vs 7.93 mg/L [3.14−22.50]), IL-6 (35.72 pg/mL [9.24−85.19] vs 5.09 pg/mL [3.16−9.72]), and IL-10 (5.35 pg/mL [4.48−7.84] vs 3.97 pg/mL [3.34−4.79]) concentrations in deteriorated patients were elevated compared with discharged patients. Multivariate logistic regression analysis showed that male gender (OR, 24.8 [1.8−342.1]), comorbidity (OR, 52.6 [3.6−776.4]), lymphopenia (OR, 17.3 [1.1−261.8]), and elevated CRP (OR, 96.5 [4.6−2017.6]) were the independent risk factors for the poor prognosis in COVID-19 patients.

Conclusions

This finding would facilitate the early identification of high-risk COVID-19 patients.

Keywords

Coronavirus disease 2019
Predictive factors
Prognosis

Cited by (0)

1

Jun Zhang and Miao Yu contributed equally to this manuscript.

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