Author: Shang, Weifeng; Dong, Junwu; Ren, Yali; Tian, Ming; Li, Wei; Hu, Jianwu; Li, Yuanyuan
Title: The value of clinical parameters in predicting the severity of COVIDâ€19 Cord-id: 926yxpbf Document date: 2020_6_2
ID: 926yxpbf
Snippet: To study the relationship between clinical indexes and the severity of coronavirus disease 2019 (COVIDâ€19), and to explore its role in predicting the severity of COVIDâ€19. Clinical data of 443 patients with COVIDâ€19 admitted to our hospital were retrospectively analyzed, which were divided into nonsevere group (n = 304) and severe group (n = 139) according to their condition. Clinical indicators were compared between different groups. The differences in sex, age, the proportion of patients
Document: To study the relationship between clinical indexes and the severity of coronavirus disease 2019 (COVIDâ€19), and to explore its role in predicting the severity of COVIDâ€19. Clinical data of 443 patients with COVIDâ€19 admitted to our hospital were retrospectively analyzed, which were divided into nonsevere group (n = 304) and severe group (n = 139) according to their condition. Clinical indicators were compared between different groups. The differences in sex, age, the proportion of patients with combined heart disease, leukocyte, neutrophilâ€toâ€lymphocyte ratio (NLR), neutrophil, lymphocyte, platelet, Dâ€dimer, Câ€reactive protein (CRP), procalcitonin, lactate dehydrogenase, and albumin on admission between the two groups were statistically significant (P < .05). Multivariate logistic regression analysis showed NLR and CRP were independent risk factors for severe COVIDâ€19. Platelets were independent protective factors for severe COVIDâ€19. The receiver operating characteristic (ROC) curve analysis demonstrated area under the curve of NLR, platelet, CRP, and combination was 0.737, 0.634, 0.734, and 0.774, respectively. NLR, CRP, and platelets can effectively assess the severity of COVIDâ€19, among which NLR is the best predictor of severe COVIDâ€19, and the combination of three clinical indicators can further predict severe COVIDâ€19.
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