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The Predictive Effectiveness of Blood Biochemical Indexes for the Severity of COVID-19
Joint Authors
Zhou, Yingchu
Li, Bo
Liu, Jiyang
Chen, Dong
Source
Canadian Journal of Infectious Diseases and Medical Microbiology
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-08-07
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Abstract EN
Objective.
We aimed to explore the predictive effectiveness of blood biochemical indexes for COVID-19 severity.
Method.
We retrospectively analyzed the clinical data of COVID-19 patients who were cured and discharged from the Public Health Treatment Center of Changsha from January 30, 2020, to February 19, 2020.
According to the clinical classification of the disease, the patients were divided into severe and nonsevere groups.
General clinical data and underlying medical conditions were recorded through the electronic medical record (EMR) system.
Laboratory examination results of the patients during their hospitalization were collected, including the first results for erythrocyte sedimentation rate (ESR), C-reactive protein (CRP), peripheral blood lymphocyte ratio and count, and peripheral blood white blood cell (WBC) count.
Univariate and multivariate logistic regression models were used to analyze the predictive effectiveness of blood biochemical indexes and other related factors for COVID-19 severity.
Result.
In all, 108 COVID-19 patients (median age: 43.9 years (range: 1–75); male patients: 56 (51.85%)) were enrolled, of whom 24 (22.22%) showed severe disease and 84 (77.78%) showed nonsevere disease, and two in 24 patients with severe disease developed into a critically severe type and died.
Fever was the most common onset symptom (67.59%), followed by cough (48.15%) and fatigue (37.04%).
Comorbidities were important factors affecting the severity of COVID-19, and among the patients with severe disease, the proportion with comorbidities was 70.83%, and the proportion without comorbidities was 29.17%.
The intergroup difference was significant P<0.05.
In patients with CRP levels (mg/L) of ≤8, >8–≤20, >20–≤40, and >40, the proportions of those with severe and nonsevere disease were 0 to 32, 7 to 19, 6 to 23, and 11 to 10, respectively; the intergroup difference was significant P<0.05.
Conclusion.
The presence or absence of comorbidities and CRP elevation were independent significant predictors of COVID-19 severity, and hypertension was found as the most common comorbidity in patients with severe disease.
American Psychological Association (APA)
Zhou, Yingchu& Li, Bo& Liu, Jiyang& Chen, Dong. 2020. The Predictive Effectiveness of Blood Biochemical Indexes for the Severity of COVID-19. Canadian Journal of Infectious Diseases and Medical Microbiology،Vol. 2020, no. 2020, pp.1-6.
https://search.emarefa.net/detail/BIM-1139175
Modern Language Association (MLA)
Zhou, Yingchu…[et al.]. The Predictive Effectiveness of Blood Biochemical Indexes for the Severity of COVID-19. Canadian Journal of Infectious Diseases and Medical Microbiology No. 2020 (2020), pp.1-6.
https://search.emarefa.net/detail/BIM-1139175
American Medical Association (AMA)
Zhou, Yingchu& Li, Bo& Liu, Jiyang& Chen, Dong. The Predictive Effectiveness of Blood Biochemical Indexes for the Severity of COVID-19. Canadian Journal of Infectious Diseases and Medical Microbiology. 2020. Vol. 2020, no. 2020, pp.1-6.
https://search.emarefa.net/detail/BIM-1139175
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1139175