ArticleFrontiers in pharmacology2024
Correlation between the white blood cell/platelet ratio and 28-day all-cause mortality in cardiac arrest patients: a retrospective cohort study based on machine learning.
Article in Frontiers in pharmacology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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3 citing papers in PubMed.
- Association between early body temperature dynamic trajectory and mortality and infection rates for patients with cardiac arrest in ICU: a retrospective study.Journal of thoracic disease · 2026Article
- Platelet-to-white blood cell ratio as a predictor of postoperative outcomes in acute type A aortic dissection: a single-center retrospective analysis.Frontiers in cardiovascular medicine · 2025Article
- Trajectory-Defined Thrombo-Inflammatory Phenotypes Predict 30-Day ICU Mortality in Post-cardiac Arrest Syndrome: A Multicenter Retrospective Longitudinal Cohort Study.Inquiry : a journal of medical care organization, provision and financingArticle
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9 authors.
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Abstract
Objective: This study aims to evaluate the association between the white blood cell-to-platelet ratio (WPR) and 28-day all-cause mortality among patients experiencing cardiac arrest. Methods: Utilizing data from 748 cardiac arrest patients in the Medical Information Mart for Intensive Care-IV (MIMIC-IV) 2.2 database, machine learning algorithms, including the Boruta feature selection method, random forest modeling, and SHAP value analysis, were applied to identify significant prognostic biomarkers. Key patient characteristics, encompassing demographic data, comorbidities, hematological and biochemical indices, and vital signs, were extracted using PostgreSQL Administration Tool (pgAdmin) software. The Cox proportional hazards model assessed the impact of WPR on mortality outcomes, while Kaplan-Meier survival curves and restricted cubic spline (RCS) analysis further validated the findings. Subgroup analyses stratified the prognostic value of WPR by demographic and clinical factors. Results: WPR demonstrated the highest prognostic significance among the variables studied, showing a strong association with 28-day all-cause mortality. In the unadjusted Model 1, hazard ratios (HRs) for WPR quartiles ranged from 1.88 (95% CI: 1.22-2.90) in Q2 to 3.02 (95% CI: 2.04-4.47) in Q4 (Ptrend <0.05). Adjusted models (Models 2-4) confirmed the robustness of these associations, even after accounting for demographic and clinical covariates. Kaplan-Meier and RCS analyses revealed a significant U-shaped relationship between WPR and mortality risk. Subgroup analyses indicated that elevated WPR was particularly associated with increased mortality in males, elderly patients, married individuals, and those with chronic pulmonary disease. Conclusion: WPR serves as an independent and reliable prognostic biomarker for 28-day mortality in cardiac arrest patients. Its integration into clinical decision-making may enhance the early identification of high-risk patients and guide tailored therapeutic interventions.
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