The COVID-19 lab score: an accurate dynamic tool to predict in-hospital outcomes in COVID-19 patients
Open accessAbstract
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.
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Alternative approaches to COVID-19 triage use radiological imaging, which is less readily available and involves patient exposure to ionising radiation, or infrequently requested laboratory predicting markers, such as IL-6.
“By contrast, alternative approaches to COVID-19 triage use radiological imaging, which is less readily available and involves patient exposure to ionising radiation,22 or infrequently requested laboratory predicting markers, such as IL-6.23, 24”
From Real-world evaluation of rapid and laboratory-free COVID-19 triage for emergency care: external validation and pilot deployment of artificial intelligence driven screening (2022) · cites this paper as [23]
The Results report that IL-6 was significantly associated with in-hospital mortality, supporting its description as a predictive laboratory marker. Neither the Results nor the Methods passages establish that IL-6 is infrequently requested. The imaging claim is attached to citation 22, not this source. (LLM, conf=0.86)
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Soltan, A. A. S., Yang, J., Pattanshetty, R., Novak, A., Yang, Y., Rohanian, O., Beer, S., Soltan, M. A., Thickett, D. R., Fairhead, R., et al. (2022) · The Lancet Digital Health · doi:10.1016/s2589-7500(21)00272-7 · Cited by 54 · see citing works
- Authors
- Antunez Muiños, P. J., López Otero, D., Amat-Santos, I. J., López País, J., Aparisi, A., Cacho Antonio, C. E., Catalá, P., González Ferrero, T., Cabezón, G., Otero García, O., Gil, J. F., Pérez Poza, M., Candela, J., Rojas, G., Jiménez Ramos, V., Veras, C., San Román, J. A., & González-Juanatey, J. R.
- Affiliations
- Hospital Clínico Universitario de Valladolid (ES)
- Venue
- Scientific Reports
- Published
- 2021-04-30
- Volume
- 11
- Issue
- 1
- Pages
- 9361-9361
- ISSN
- 2045-2322 (ISSN-L)
- PMC
- PMC8087839
- OpenAlex
- W3111827453
- Cited by
- 27
- References
- 0
- Citations by year
- 2026: 2 · 2025: 1 · 2024: 5 · 2023: 7 · 2022: 9 · 2021: 3
- FWCI
- 1.90
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Scientific Reports (publishedVersion, cc-by)
- Research Square (acceptedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Health Sciences › Medicine › Infectious Diseases › COVID-19 Clinical Research Studies
- Health Sciences › Medicine › Epidemiology › Sepsis Diagnosis and Treatment
- Health Sciences › Medicine › Oncology › Inflammatory Biomarkers in Disease Prognosis
- Keywords
- COVID-19 pandemic, mortality prediction, risk score, laboratory biomarkers, SARS-CoV-2, prognostic model, C-reactive protein, interleukin-6, D-dimer, lactate dehydrogenase, procalcitonin, clinical deterioration, intensive care unit admission, mechanical ventilation
- MeSH terms
- COVID-19, SARS-CoV-2, Aged, Female, Hospitalization, Humans, Male, Retrospective Studies, Spain, Biomarkers, Multivariate Analysis, Treatment Outcome, Risk Assessment
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