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Can we predict the severity of coronavirus disease 2019 with a routine blood test?
Zeng, Furong; Li, Linfeng; Zeng, Jiling; Deng, Yuhao; Huang, Huining; Chen, Bin; Deng, Guangtong.
  • Zeng F; National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
  • Li L; National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China; Department of Thoracic Surgery, Xiangya Hospital, Central South University, Changsha, China; Hunan Engineering Research Center for Pulmonary Nodules Precise Diagnosis and Treatment
  • Zeng J; Xiangya Second Hospital, Department of Neurology, Central South University, Changsha, China
  • Deng Y; Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
  • Huang H; National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
  • Chen B; Taoyuan People's Hospital, Taoyuan, Changde, China
  • Deng G; National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China. dengguangtong@outlook.com
Pol Arch Intern Med ; 130(5): 400-406, 2020 05 29.
Article in English | MEDLINE | ID: covidwho-622201
ABSTRACT

INTRODUCTION:

The ongoing worldwide pandemic of coronavirus disease 2019 (COVID­19) has posed a huge threat to global public health. However, the issue as to whether routine blood tests could be used to monitor and predict the severity and prognosis of COVID­19 has not been comprehensively investigated so far.

OBJECTIVES:

This study aimed to provide an overview of the association of markers in the routine blood test with the severity of COVID­19.

METHODS:

PubMed, Embase, Cochrane Library, Wanfang, and China National Knowledge Infrastructure (CNKI) databases were searched to identify studies reporting data on markers in the routine blood test and the severity of COVID­19, published until March 20, 2020. The STATA software was used for meta­analysis.

RESULTS:

A total of 15 studies with 3090 patients with COVID­19 were included in this analysis. Patients in the nonsevere group, compared with those in the severe group, had lower counts of white blood cells (weighted mean difference [WMD], -0.85 [×109/l]; 95% CI, -1.54 to -0.16; P = 0.02) and neutrophils (WMD, -1.57 [×109/l]; 95% CI, -2.6 to -0.54; P = 0.003), greater counts of lymphocytes (WMD, 0.29 [×109/l]; 95% CI, 0.22-0.36; P <0.001) and platelets (WMD, 19.05 [×109/l]; 95% CI, 3.04-35.06; P = 0.02), and a lower neutrophil­to­lymphocyte (NLR) ratio (WMD, -2.48; 95% CI, -3.81 to -1.15; P <0.001). There was no difference in the monocyte count (WMD, 0.01 [×109/l]; 95% CI, -0.01 to 0.03; P = 0.029) between these 2 groups. Sensitivity analysis and meta­analysis based on standard mean difference did not change the conclusions regarding neutrophils, lymphocytes, and NLR, but yielded inconsistent results for white blood cells and platelets.

CONCLUSIONS:

Severe patients had more neutrophils, higher NLR level, and fewer lymphocytes than non-severe patients with COVID-19. Measurement of these markers might assist clinicians to monitor and predict the severity and prognosis of COVID-19.
Subject(s)

Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Coronavirus Infections / Betacoronavirus Type of study: Diagnostic study / Experimental Studies / Prognostic study / Randomized controlled trials / Reviews Limits: Adult / Humans / Middle aged Language: English Journal: Pol Arch Intern Med Year: 2020 Document Type: Article Affiliation country: Pamw.15331

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Coronavirus Infections / Betacoronavirus Type of study: Diagnostic study / Experimental Studies / Prognostic study / Randomized controlled trials / Reviews Limits: Adult / Humans / Middle aged Language: English Journal: Pol Arch Intern Med Year: 2020 Document Type: Article Affiliation country: Pamw.15331