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
Observational Study
. 2021 Apr 30;11(1):9361.
doi: 10.1038/s41598-021-88679-6.

The COVID-19 lab score: an accurate dynamic tool to predict in-hospital outcomes in COVID-19 patients

Pablo Jose Antunez Muiños  1   2 , Diego López Otero  3   4 , Ignacio J Amat-Santos  5 , Javier López País  1   2 , Alvaro Aparisi  5 , Carla E Cacho Antonio  1   2 , Pablo Catalá  5 , Teba González Ferrero  1   2 , Gonzalo Cabezón  5 , Oscar Otero García  1   2 , José Francisco Gil  5 , Marta Pérez Poza  1   2 , Jordi Candela  5 , Gino Rojas  5 , Víctor Jiménez Ramos  1   2 , Carlos Veras  5 , J Alberto San Román  5 , José R González-Juanatey  1   2
Affiliations
Observational Study

The COVID-19 lab score: an accurate dynamic tool to predict in-hospital outcomes in COVID-19 patients

Pablo Jose Antunez Muiños et al. Sci Rep. .

Abstract

Deterioration is sometimes unexpected in SARS-CoV2 infection. The aim of our study is to establish laboratory predictors of mortality in COVID-19 disease which can help to identify high risk patients. All patients admitted to hospital due to Covid-19 disease were included. Laboratory biomarkers that contributed with significant predictive value for predicting mortality to the clinical model were included. Cut-off points were established, and finally a risk score was built. 893 patients were included. Median age was 68.2 ± 15.2 years. 87(9.7%) were admitted to Intensive Care Unit (ICU) and 72(8.1%) needed mechanical ventilation support. 171(19.1%) patients died. A Covid-19 Lab score ranging from 0 to 30 points was calculated on the basis of a multivariate logistic regression model in order to predict mortality with a weighted score that included haemoglobin, erythrocytes, leukocytes, neutrophils, lymphocytes, creatinine, C-reactive protein, interleukin-6, procalcitonin, lactate dehydrogenase (LDH), and D-dimer. Three groups were established. Low mortality risk group under 12 points, 12 to 18 were included as moderate risk, and high risk group were those with 19 or more points. Low risk group as reference, moderate and high patients showed mortality OR 4.75(CI95% 2.60-8.68) and 23.86(CI 95% 13.61-41.84), respectively. C-statistic was 0-85(0.82-0.88) and Hosmer-Lemeshow p-value 0.63. Covid-19 Lab score can very easily predict mortality in patients at any moment during admission secondary to SARS-CoV2 infection. It is a simple and dynamic score, and it can be very easily replicated. It could help physicians to identify high risk patients to foresee clinical deterioration.

PubMed Disclaimer

Conflict of interest statement

The authors declare no competing interests.

Figures

Figure 1
Figure 1
Discrimination of biomarkers. AUC area under the curve for each different biomarker.
Figure 2
Figure 2
COVID-19 lab score: histogram and predicted mortality. Represents the risk of mortality depending on the score, divided in three different groups.
Figure 3
Figure 3
Outcomes by risk groups of COVID-19 lab score. CV cardiovascular (myocardial infarction, hospitalizations due to heart failure, stroke).
See this image and copyright information in PMC

References

    1. Zhu N, Zhang D, Wang W, Li X, Yang B, Song J, Zhao X, Huang B, Shi W, Roujian L, Niu P, Zhan F, Ma X, Wang D, Wenbo X, Guizhen W, Gao GF, Tan W. A novel coronavirus from patients with pneumonia in China. N. Engl. J. Med. 2019;382:8. - PMC - PubMed
    1. Situation Report WHO: Confirmados >2M, Mortalidad Global 6,7 Y Europea 8,9, 212 Países/Territorios. https://www.who.int/docs/default-source/coronaviruse/situation-reports/2....
    1. Chen N, Zhou M, Dong X, Jieming Q, Gong F, Han Y, Qiu Y, Wang J, Liu Y, Wei Yx. Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: A descriptive study. Lancet. 2020;395:507–513. doi: 10.1016/S0140-6736(20)30211-7. - DOI - PMC - PubMed
    1. Guan W, Ni Z, Yu Hu, Liang W, Ou C, He J, Liu L, Shan H, Lei C, Hui DSC, Du B, Li L, Zeng G, Yuen K-Y, Chen R, Tang C, Wang T, Chen P, Xiang J, Li S, Jin-lin Wang Z, Liang Y, Peng L, Wei YL, Ya-hua Hu, Peng P, Jian-ming Wang J, Liu Z, Chen G, Li Z, Zheng S, Qiu J, Luo C, Ye S, Zhu NZ. Clinical characteristics of coronavirus disease 2019 in China. NEJM. 2021 doi: 10.1056/NEJMoa2002032. - DOI - PMC - PubMed
    1. Huang C, Wang Y, Li X, Ren L, Zhao J, Yi Hu, Zhang Li, Fan G, Jiuyang Xu, Xiaoying Gu, Cheng Z, Ting Yu, Xia J, Wei Y, Wenjuan Wu, Xie X, Yin W, Li H, Liu M, Xiao Y, Gao H, Guo Li, Xie J, Wang G, Jiang R, Gao Z, Jin Qi, Wang J, Cao B. Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. Lancet. 2020;395:497–506. doi: 10.1016/S0140-6736(20)30183-5. - DOI - PMC - PubMed

Publication types