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Risk factors for the critical illness in SARS-CoV-2 infection: a multicenter retrospective cohort study.
- Source :
-
Respiratory research [Respir Res] 2020 Oct 21; Vol. 21 (1), pp. 277. Date of Electronic Publication: 2020 Oct 21. - Publication Year :
- 2020
-
Abstract
- Background: Prior studies reported that 5 ~ 32% COVID-19 patients were critically ill, a situation that poses great challenge for the management of the patients and ICU resources. We aim to identify independent risk factors to serve as prediction markers for critical illness of SARS-CoV-2 infection.<br />Methods: Fifty-two critical and 200 non-critical SARS-CoV-2 nucleic acid positive patients hospitalized in 15 hospitals outside Wuhan from January 19 to March 6, 2020 were enrolled in this study. Multivariable logistic regression and LASSO logistic regression were performed to identify independent risk factors for critical illness.<br />Results: Age older than 60 years, dyspnea, respiratory rate > 24 breaths per min, leukocytosis > 9.5 × 10 <superscript>9</superscript> /L, neutrophilia > 6.3 × 10 <superscript>9</superscript> /L, lymphopenia < 1.1 × 10 <superscript>9</superscript> /L, neutrophil-to-lymphocyte ratio > 3.53, fibrinogen > 4 g/L, d-dimer > 0.55 μg/mL, blood urea nitrogen > 7.1 mM, elevated aspartate transaminase, elevated alanine aminotransferase, total bilirubin > 21 μM, and Sequential Organ Failure Assessment (SOFA) score ≥ 2 were identified as risk factors for critical illness. LASSO logistic regression identified the best combination of risk factors as SOFA score, age, dyspnea, and leukocytosis. The Area Under the Receiver-Operator Curve values for the risk factors in predicting critical illness were 0.921 for SOFA score, 0.776 for age, 0.764 for dyspnea, 0.658 for leukocytosis, and 0.960 for the combination of the four risk factors.<br />Conclusions: Our findings advocate the use of risk factors SOFA score ≥ 2, age > 60, dyspnea and leukocytosis > 9.5 × 10 <superscript>9</superscript> /L on admission, alone or in combination, to determine the optimal management of the patients and health care resources.
- Subjects :
- Adult
Age Factors
Aged
Aged, 80 and over
Biomarkers analysis
Blood Cell Count
COVID-19
China epidemiology
Cohort Studies
Comorbidity
Coronavirus Infections blood
Coronavirus Infections diagnostic imaging
Critical Care
Female
Hospital Mortality
Hospitalization
Humans
Male
Middle Aged
Pandemics
Pneumonia, Viral blood
Pneumonia, Viral diagnostic imaging
ROC Curve
Regression Analysis
Risk Factors
Severity of Illness Index
Treatment Outcome
Coronavirus Infections epidemiology
Critical Illness epidemiology
Pneumonia, Viral epidemiology
Subjects
Details
- Language :
- English
- ISSN :
- 1465-993X
- Volume :
- 21
- Issue :
- 1
- Database :
- MEDLINE
- Journal :
- Respiratory research
- Publication Type :
- Academic Journal
- Accession number :
- 33087114
- Full Text :
- https://doi.org/10.1186/s12931-020-01492-z