ArticleScientific reports2021
Exploration of prognostic factors for critical COVID-19 patients using a nomogram model.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- A Novel Clinical Nomogram for Predicting Unfavorable Tuberculosis Treatment Outcomes: A Logistic Regression Risk Model.Journal of epidemiology and global health · 2026Article
- Stroke Prognosis: The Impact of Combined Thrombotic, Lipid, and Inflammatory Markers.Journal of atherosclerosis and thrombosis · 2025Article
- Article
- Treating asthma in the time of COVID.The Journal of allergy and clinical immunology · 2023Article
- Equilibrium-based COVID-19 diagnosis from routine blood tests: A sparse deep convolutional model.Expert systems with applications · 2023Article
- Case report: High-risk acute promyelocytic leukemia and COVID-19-related myocarditis one patient, two cytokine storms.Frontiers in oncology · 2023Article
- Construction of a nomogram for predicting COVID-19 in-hospital mortality: A machine learning analysis.Informatics in medicine unlocked · 2023Article
- Clinical Significance and Diagnostic Utility of NLR, LMR, PLR and SII in the Course of COVID-19: A Literature Review.Journal of inflammation research · 2023Review
- Neutrophil/Lymphocyte Ratio (NLR) and Lymphocyte/Monocyte Ratio (LMR) - Risk of Death Inflammatory Biomarkers in Patients with COVID-19.Journal of inflammation research · 2023Article
- Clinical Characteristics of Severe COVID-19 Patients During Omicron Epidemic and a Nomogram Model Integrating Cell-Free DNA for Predicting Mortality: A Retrospective Analysis.Infection and drug resistance · 2023Article
- The relation between changes in electrocardiography and disease severity in SARS-CoV2 infected patients.ARYA atherosclerosis · 2022Article
- Article
- Clinical Predictors of Response to Tocilizumab: A Retrospective Multicenter Study.Turkish thoracic journal · 2022Article
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Authors and funding
7 authors.
Funding
Abstract
The study aimed to explore the influencing factors on critical coronavirus disease 2019 (COVID-19) patients' prognosis and to construct a nomogram model to predict the mortality risk. We retrospectively analyzed the demographic data and corresponding laboratory biomarkers of 102 critical COVID-19 patients with a residence time ≥ 24 h and divided patients into survival and death groups according to their prognosis. Multiple logistic regression analysis was performed to assess risk factors for critical COVID-19 patients and a nomogram was constructed based on the screened risk factors. Logistic regression analysis showed that advanced age, high peripheral white blood cell count (WBC), low lymphocyte count (L), low platelet count (PLT), and high-sensitivity C-reactive protein (hs-CRP) were associated with critical COVID-19 patients mortality risk (p < 0.05) and these were integrated into the nomogram model. Nomogram analysis showed that the total factor score ranged from 179 to 270 while the corresponding mortality risk ranged from 0.05 to 0.95. Findings from this study suggest advanced age, high WBC, high hs-CRP, low L, and low PLT are risk factors for death in critical COVID-19 patients. The Nomogram model is helpful for timely intervention to reduce mortality in critical COVID-19 patients.
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