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. 2021 Feb;35(2):e23668.
doi: 10.1002/jcla.23668. Epub 2020 Dec 13.

The prognostic value of general laboratory testing in patients with COVID-19

Zhihua Lv  1 , Wei Wang  2 , Bin Qiao  1 , Xianghua Cui  1 , Yong Feng  3   4 , Lang Chen  4   5 , Qingfeng Ma  6 , Xinghui Liu  7
Affiliations

The prognostic value of general laboratory testing in patients with COVID-19

Zhihua Lv et al. J Clin Lab Anal. 2021 Feb.

Abstract

Background: Lymphocyte count (LYM) of peripheral blood and some indices of general biochemical analysis had diagnostic and prognostic value for coronavirus disease 2019 (COVID-19), and the value of other remaining indices is rare.

Methods: A total of 94 patients with COVID-19 were enrolled at Renmin Hospital of Wuhan University. According to the severity of COVID-19, the patients were divided into three groups (moderate 49, severe 35, and critical 10), and 40 healthy cases were enrolled in the same period as healthy controls. The diagnostic and prognostic value of indices in peripheral blood cell count and general biochemical analysis was analyzed.

Results: Compared with healthy cases, the value differences in peripheral blood analysis in patients with COVID-19 were statistically significant (p < 0.01), the differences in LYM, neutrophil count (Neu), platelet count (PLT), and white blood cell count (WBC) were statistically significant among different severity of COVID-19 (p < 0.05). Compared with healthy cases, the differences in general biochemical results in patients with COVID-19 were statistically significant (p < 0.01), the value differences in direct bilirubin (DBIL), low-density lipoprotein cholesterol (LDL-Ch), and nitrogen (urea) were statistically significant among different severity of COVID-19 (p < 0.05). Neutrophil/lymphocyte ratio (NLR) had higher sensitivity and specificity for COVID-19 diagnosis.

Conclusions: Some indices of peripheral blood cell count and general biochemical analysis were valuable in discriminating COVID-19 and predicting severity and adverse outcome of patients with COVID-19. For clinician, it is better to use more economical and easy-to-get indices to diagnose and predict the prognosis of COVID-19.

Keywords: COVID-19; biochemical analysis; peripheral blood cell count; severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2).

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Conflict of interest statement

We declare that we have no conflicts of interest.

Figures

Figure 1
Figure 1
ROC curve for diagnosis of patients with COVID‐19. Univariate logistic regression analysis was used to identify COVID‐19 patients. Performance of ROC curves of LYM, Neu, and NLR for auxiliary diagnosis of patients with COVID‐19
See this image and copyright information in PMC

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