Analysis of clinical features and early warning signs in patients with severe COVID-19: A retrospective cohort study
Adult
Male
China
Fever
Dyspnea ; COVID-19 ; C-reactive proteins ; Fevers ; Lymphocytes ; Cardiovascular diseases ; Pneumonia ; SARS ; Blood counts
Science
Pneumonia, Viral
Betacoronavirus
Leukocyte Count
03 medical and health sciences
Extracorporeal Membrane Oxygenation
0302 clinical medicine
Predictive Value of Tests
Humans
Pandemics
Aged
Q
R
Age Factors
COVID-19
Middle Aged
3. Good health
Hospitalization
Logistic Models
Multivariate Analysis
Medicine
Female
Coronavirus Infections
Research Article
DOI:
10.1371/journal.pone.0235459
Publication Date:
2020-06-26T18:36:03Z
AUTHORS (9)
ABSTRACT
Coronavirus disease 2019 (COVID-19) was first identified in Wuhan, China, December 2019. Although previous studies have described the clinical aspects of COVID-19, few focused on early detection severe COVID-19. Therefore, this study aimed to identify predictors COVID-19 and compare features between patients with those less Patients admitted designated hospital Henan Province China who were either discharged or died prior February 15, 2020 enrolled retrospectively. Additionally, underwent at least one following treatments assigned group: continuous renal replacement therapy, high-flow oxygen absorption, noninvasive invasive mechanical ventilation, extracorporeal membrane oxygenation. The remaining non-severe group. Demographic information, initial symptoms, visit examination results collected from electronic medical records compared groups. Multivariate logistic regression analysis performed determine A receiver operating characteristic curve used a threshold for each predictor. Altogether,104 our 30 74 groups, respectively. indicated that aged ≥63 years (odds ratio = 41.0; 95% CI: 2.8, 592.4), an absolute lymphocyte value ≤1.02×109/L 6.1; CI 1.5, 25.2) C-reactive protein level ≥65.08mg/L 8.9; 1.0, 74.2) higher risk illness. Thus, could be helpful illness, enabling implementation effective interventions likely lowering morbidity patients.
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CITATIONS (8)
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