A predictive score for COVID-19 diagnosis using clinical, laboratory and chest image data
- PMID: 32721387
- PMCID: PMC7381934
- DOI: 10.1016/j.bjid.2020.06.009
A predictive score for COVID-19 diagnosis using clinical, laboratory and chest image data
Abstract
Objectives: Differential diagnosis of COVID-19 includes a broad range of conditions. Prioritizing containment efforts, protective personal equipment and testing can be challenging. Our aim was to develop a tool to identify patients with higher probability of COVID-19 diagnosis at admission.
Methods: This cross-sectional study analyzed data from 100 patients admitted with suspected COVID-19. Predictive models of COVID-19 diagnosis were performed based on radiology, clinical and laboratory findings; bootstrapping was performed in order to account for overfitting.
Results: A total of 29% of patients tested positive for SARS-CoV-2. Variables associated with COVID-19 diagnosis in multivariate analysis were leukocyte count ≤7.7×103mm-3, LDH >273U/L, and chest radiographic abnormality. A predictive score was built for COVID-19 diagnosis, with an area under ROC curve of 0.847 (95% CI 0.77-0.92), 96% sensitivity and 73.5% specificity. After bootstrapping, the corrected AUC for this model was 0.827 (95% CI 0.75-0.90).
Conclusions: Considering unavailability of RT-PCR at some centers, as well as its questionable early sensitivity, other tools might be used in order to identify patients who should be prioritized for testing, re-testing and admission to isolated wards. We propose a predictive score that can be easily applied in clinical practice. This score is yet to be validated in larger populations.
Keywords: COVID-19; Diagnosis; Predictive score; SARS-CoV-2.
Copyright © 2020 Sociedade Brasileira de Infectologia. Published by Elsevier España, S.L.U. All rights reserved.
Figures
References
-
- World Health Organization . 2020. Clinical management of severe acute respiratory infection (SARI) when COVID-19 disease is suspected.
-
- Nickel Christian H., Bingisser R. Mimics and chameleons of COVID-19. Swiss Med Wkly. 2020;150:w20231. - PubMed
-
- Interim Guidelines for Collecting, Handling, and Testing Clinical Specimens from Persons for Coronavirus Disease 2019 (COVID-19). Available from: https://www.cdc.gov/coronavirus/2019-ncov/lab/guidelines-clinical-specim....
MeSH terms
LinkOut - more resources
Full Text Sources
Medical
Miscellaneous
