Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2020 Jul 16;20(1):519.
doi: 10.1186/s12879-020-05242-w.

Correlation analysis between disease severity and clinical and biochemical characteristics of 143 cases of COVID-19 in Wuhan, China: a descriptive study

Dan Wang  1 , Ruifang Li  1 , Juan Wang  2 , Qunqun Jiang  3 , Chang Gao  1 , Juan Yang  1 , Lintong Ge  1 , Qing Hu  4
Affiliations

Correlation analysis between disease severity and clinical and biochemical characteristics of 143 cases of COVID-19 in Wuhan, China: a descriptive study

Dan Wang et al. BMC Infect Dis. .

Abstract

Background: Coronavirus disease 2019 (COVID-19) is a novel infectious disease caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) emerged in Wuhan and has quickly spread across the world. The mortality rate in critically ill patients with COVID-19 is high. This study analyzed clinical and biochemical parameters between mild and severe patients, helping to identify severe or critical patients early.

Methods: In this single center, cross-sectional study, 143 patients were included and divided to mild/moderate and sever/critical groups. Correlation between the disease criticality and clinical features and peripheral blood biochemical markers was analyzed. Cut-off values for critically ill patients were speculated through the ROC curve.

Results: Significantly, disease severity was associated with age (r = 0.458, P < 0.001), comorbidities (r = 0.445, P < 0.001), white cell count (r = 0.229, P = 0.006), neutrophil count (r = 0.238, P = 0.004), lymphocyte count (r = - 0.295, P < 0.001), albumin (r = - 0.603, P < 0.001), high-density lipoprotein cholesterol (r = - 0.362, P < 0.001), serum potassium (r = - 0.237, P = 0.004), plasma glucose (r = 0.383, P < 0.001), total bilirubin (r = 0.340, P < 0.001), serum amyloid A (r = 0.58, P < 0.001), procalcitonin (r = 0.345, P < 0.001), C-reactive protein (r = 0.477, P < 0.001), lactate dehydrogenase (r = 0.548, P < 0.001), aspartate aminotransferase (r = 0.342, P < 0.001), alanine aminotransferase (r = 0.264, P = 0.001), erythrocyte sedimentation rate (r = 0.284, P = 0.001) and D-dimer (r = 0.477, P < 0.001) .

Conclusions: With the following parameters such as age > 52 years, C-reactive protein > 64.79 mg/L, lactate dehydrogenase > 245 U/L, D-dimer > 0.96 μg/mL, serum amyloid A > 100.02 mg/L, or albumin < 36 g/L, the progress of COVID-19 to critical stage should be closely observed and possibly prevented. Lymphocyte count, serum potassium, high-density lipoprotein cholesterol and procalcitonin may also be a prognostic indicator.

Keywords: COVID-19; Correlation analysis; Prognostic indicator; SARS-CoV-2.

PubMed Disclaimer

Conflict of interest statement

The authors declare that they have no competing interests.

Figures

Fig. 1
Fig. 1
A patient with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. a Ground glass shadow in multiple lobes and segments of bilateral lungs, and the lesions were adjacent to the pleura (Illness Day 7, Hospital Day 0). b Ground glass shadow expanding and consolidation in bilateral lung (Illness Day 12, Hospital Day 5). c Ground glass shadow absorption and reduced consolidation area (Illness Day 18, Hospital Day 11). d Lesion dissipation (Illness Day 24, Hospital Day 17)
Fig. 2
Fig. 2
ROC curve of indicators between mild/moderate and severe/critical. a age; b LDH; c D-dimer; d SAA; e Albumin; f CRP
Fig. 3
Fig. 3
ROC curve of combined indicators for the speculation of disease severity
See this image and copyright information in PMC

Similar articles

See all similar articles

Cited by

See all "Cited by" articles

References

    1. Huang C, Wang Y, Li X, Ren L, Zhao J, Hu Y, Zhang L, Fan G, Xu J, Gu X, et al. Clinical features of patients infected with 2019 novel coronavirus in Wuhan. China. Lancet. 2020;395(10223):497–506. doi: 10.1016/S0140-6736(20)30183-5. - DOI - PMC - PubMed
    1. National Health Commission of the People's Republic of China. Notice on the novel coronavirus infection diagnosis and treatment plan (trial version sixth). In: National Health Commission of the People's Republic of China, editor. Beijing, 2020. Available from: http://www.nhc.gov.cn/wjw/gfxwjj/list_5.shtml. Accessed 10 Mar 2020.
    1. National Health Commission Stroke Prevention and Control Engineering Expert Committee. Expert consensus on prevention and control of novel coronavirus infection in neurology (version first). In: National Health Commission Stroke Prevention and Control Engineering Expert Committee, editor. Beijing, 2020. Available from: http://www.sinosc.org/NewsInfo/News/NewsDetailWeb?Tid=2621. Accessed 10 Mar 2020.
    1. Chen N, Zhou M, Dong X, Qu J, Gong F, Han Y, Qiu Y, Wang J, Liu Y, Wei Y, et al. Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive study. Lancet. 2020;395(10223):507–513. doi: 10.1016/S0140-6736(20)30211-7. - DOI - PMC - PubMed
    1. Lu J, Hu S, Fan R, Liu Z, Yin X, Wang Q, Lv Q, Cai Z, Li H, Hu Y, et al: ACP risk grade: a simple mortality index for patients with confirmed or suspected severe acute respiratory syndrome coronavirus 2 disease (COVID-19) during the early stage of outbreak in Wuhan, China. https://www.medrxiv.org/content/10.1101/2020.02.20.20025510v1 (2020). Accessed 23 Mar 2020. - DOI

MeSH terms