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C-Reactive Protein Level May Predict the Risk of COVID-19 Aggravation.
Wang, Guyi; Wu, Chenfang; Zhang, Quan; Wu, Fang; Yu, Bo; Lv, Jianlei; Li, Yiming; Li, Tiao; Zhang, Siye; Wu, Chao; Wu, Guobao; Zhong, Yanjun.
  • Wang G; Critical Care Medicine, The Second Xiangya Hospital, Central South University, Changsha, China.
  • Wu C; Critical Care Medicine, The Second Xiangya Hospital, Central South University, Changsha, China.
  • Zhang Q; Critical Care Medicine, The First Hospital of Changsha, Changsha, China.
  • Wu F; Department of Oncology, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
  • Yu B; Critical Care Medicine, The Second Xiangya Hospital, Central South University, Changsha, China.
  • Lv J; Critical Care Medicine, The First Hospital of Changsha, Changsha, China.
  • Li Y; Department of Critical Care Medicine, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, China.
  • Li T; Department of Respiratory Medicine, The Second Xiangya Hospital, Central-South University, Changsha, Hunan, China.
  • Zhang S; Critical Care Medicine, The Second Xiangya Hospital, Central South University, Changsha, China.
  • Wu C; Department of Metabolism & Endocrinology, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
  • Wu G; Key Laboratory of Diabetes Immunology (Central South University), Ministry of Education, Changsha, Hunan, China.
  • Zhong Y; National Clinical Research Center for Metabolic Diseases, Changsha, Hunan, China.
Open Forum Infect Dis ; 7(5): ofaa153, 2020 May.
Article in English | MEDLINE | ID: covidwho-141772
ABSTRACT

BACKGROUND:

Clinical findings indicated that a fraction of coronavirus disease 2019 (COVID-19) patients diagnosed as mild early may progress to severe cases. However, it is difficult to distinguish these patients in the early stage. The present study aimed to describe the clinical characteristics of these patients, analyze related factors, and explore predictive markers of the disease aggravation.

METHODS:

Clinical and laboratory data of nonsevere adult COVID-19 patients in Changsha, China, were collected and analyzed on admission. A logistic regression model was adopted to analyze the association between the disease aggravation and related factors. The receiver operating characteristic curve (ROC) was utilized to analyze the prognostic ability of C-reactive protein (CRP).

RESULTS:

About 7.7% (16/209) of nonsevere adult COVID-19 patients progressed to severe cases after admission. Compared with nonsevere patients, the aggravated patients had much higher levels of CRP (median [range], 43.8 [12.3-101.9] mg/L vs 12.1 [0.1-91.4] mg/L; P = .000). A regression analysis showed that CRP was significantly associated with aggravation of nonsevere COVID-19 patients, with an area under the curve of 0.844 (95% confidence interval, 0.761-0.926) and an optimal threshold value of 26.9 mg/L.

CONCLUSIONS:

CRP could be a valuable marker to anticipate the possibility of aggravation of nonsevere adult COVID-19 patients, with an optimal threshold value of 26.9 mg/L.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study Language: English Journal: Open Forum Infect Dis Year: 2020 Document Type: Article Affiliation country: Ofid

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study Language: English Journal: Open Forum Infect Dis Year: 2020 Document Type: Article Affiliation country: Ofid