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Baseline characteristics and changes of biomarkers in disease course predict prognosis of patients with COVID-19.
Li, Tao; Wang, Xin; Zhuang, Xianghua; Wang, Hui; Li, Ai; Huang, Laigang; Zhang, Xingqian; Xue, Yan; Wei, Fengtao; Ma, Cheng'en.
  • Li T; Medical Team To Hubei Province, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China.
  • Wang X; Department of Infectious Disease and Hepatology, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China.
  • Zhuang X; Medical Team To Hubei Province, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China.
  • Wang H; Department of Cardiology, The Second Hospital, Cheeloo College of Medicine, Shandong University, 247 Beiyuan Road, Jinan, China.
  • Li A; Medical Team To Hubei Province, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China.
  • Huang L; Department of Endocrinology, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China.
  • Zhang X; Medical Team To Hubei Province, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China.
  • Xue Y; Department of Respiratory Medicine, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China.
  • Wei F; Medical Team To Hubei Province, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China.
  • Ma C; Department of Hematology, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China.
Intern Emerg Med ; 16(5): 1165-1172, 2021 08.
Article in English | MEDLINE | ID: covidwho-1074490
ABSTRACT
The outbreak of coronavirus disease (COVID-19) has brought great challenges to the world. The objectives of this study were to describe the baseline characteristics and changes of biomarkers of these COVID-19 patients and identify predictive value of the above markers for patient death. Using patient death as the observational endpoints, clinical data of inpatients in a special ward for COVID-19 in Wuhan, China were retrospectively collected. Univariate and multivariate Cox regression analyses were used to evaluate prognostic value of baseline characteristics and laboratory data changes. This study included clinical data of 75 patients. Age, c-reactive protein (CRP) and interleukin-6 levels were independent predictors of patient death. Survivors were characterized as having declining neutrophil counts, D-dimer, N-terminal pronatriuretic peptide, troponin I (TnI) and c-reactive protein levels, while counts of lymphocyte gradually came back. Non-survivors were characterized with increasing white blood cell counts (WBC) and neutrophil counts. Changes of WBC, TnI and interleukin-6 were also independently associated with patient death. Older age, baseline CRP and IL-6 levels may be used as meaningful predictors to identify patients with poor prognosis. Changes of biomarkers should be closely monitored in the management of patients with COVID-19, while constantly increasing levels of WBC, TnI and interleukin-6 in the disease course also predict patient death.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Biomarkers / COVID-19 Type of study: Experimental Studies / Observational study / Prognostic study Limits: Adult / Aged / Female / Humans / Male / Middle aged Country/Region as subject: Asia Language: English Journal: Intern Emerg Med Journal subject: Emergency Medicine / Internal Medicine Year: 2021 Document Type: Article Affiliation country: S11739-020-02560-4

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Biomarkers / COVID-19 Type of study: Experimental Studies / Observational study / Prognostic study Limits: Adult / Aged / Female / Humans / Male / Middle aged Country/Region as subject: Asia Language: English Journal: Intern Emerg Med Journal subject: Emergency Medicine / Internal Medicine Year: 2021 Document Type: Article Affiliation country: S11739-020-02560-4