ArticleDiagnostics (Basel, Switzerland)2024
A New Laboratory Tool for COVID-19 Severity Prediction, CENIL Score.
Article in Diagnostics (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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2 citing papers in PubMed.
- Clinical Course and Risk Factors Affecting Mortality in Patients with Solid Organ Malignancies and COVID-19 Infection: A Retrospective Case-Control Study.Infectious diseases & clinical microbiology · 2026Article
- Severely Ill COVID-19 Patients May Exhibit Hypercoagulability Despite Escalated Anticoagulation.Journal of clinical medicine · 2025Article
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14 authors.
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Abstract
BACKGROUND/
objectivesSeveral studies investigated the risk factors for severe COVID-19-related outcomes. Early identification and proper treatment of COVID-19 patients who may develop severe pneumonia are crucial. The aim of this study was to detect the importance of the laboratory parameters for risk prediction of severe pneumonia in COVID-19 patients.
methodsThis retrospective cohort study included COVID-19 patients' laboratory parameters at admission. Biochemical, hematological, coagulation, and inflammatory parameters values were compared between the non-severe and severe groups.
resultsA total of 534 COVID-19 patients were screened, and 472 of them were included in this study. The mean age of patients was 64 (±3.1) years; 242 (51.3%) were men. A total of 204 (43.2%) patients were diagnosed as severe cases. The independent predictors of severe illness were C-reactive peptide, Eosinophil, neutrophil-lymphocyte ratio, interleukin-6, and lactate dehydrogenase. These parameters were named as CENIL scores from 0 to 5 points. The findings of this study indicate that these biomarkers identified tend to increase progressively with disease severity in severe COVID-19 patients. Additionally, the CENIL risk score identified a specific cut-off value of 3, highlighting it as a critical threshold for identifying patients at high risk of severe COVID-19 progression.
conclusionsIn this study, we identified biomarkers-including CRP, eosinophil count, NLR, IL-6, and LDH-named as CENIL risk score that can help predict the likelihood of severe disease at diagnosis. Clinicians may be more vigilant regarding the development of severe disease in patients with high CENIL risk scores, guided by clinical and radiological findings.
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