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ORIGINAL RESEARCH article

Front. Neurol.
Sec. Stroke
Volume 15 - 2024 | doi: 10.3389/fneur.2024.1464216

Incorporating Platelet-to-White Blood Cell Ratio into Survival Prediction Models for Intracerebral Hemorrhage: A Nomogram Approach

Provisionally accepted
Jiake Xu Jiake Xu Xing Wang Xing Wang Wei Chen Wei Chen Meng Tian Meng Tian Chao You Chao You *
  • West China Hospital, Sichuan University, Chengdu, China

The final, formatted version of the article will be published soon.

    Background: Predicting long-term survival in intensive care unit patients with intracerebral hemorrhage (ICH) is crucial. This study aimed to develop a platelet-to-white blood cell ratio (PWR) incorporated nomogram for long-term survival prediction. Methods: A retrospective analysis was conducted on 1,728 ICH patients in the MIMIC-IV 2.2 database. The independent prognostic value of PWR for 1-year mortality was assessed. A nomogram was developed using LASSO and Cox regression to predict 1-year survival, incorporating PWR and other factors. The performance of the nomogram was evaluated through calibration curves, area under the curve, Delong test, net reclassification index, integrated discrimination improvement, and decision curve analysis. Results: The nomogram, which included age, weight, Glasgow Coma Scale (GCS) score, mechanical ventilation, glucose, red blood cell (RBC) count, blood urea nitrogen (BUN), and PWR, showed good predictive performance for 1-year survival. The C-index was 0.736 (95% CI=0.716-0.756) for the training set and 0.766 (95% CI=0.735-0.797) for the testing set. Higher age and ventilation increased mortality risk, while higher weight, GCS score, RBC count, and PWR decreased risk. The nomogram outperformed conventional scores. Conclusions: A nomogram incorporating PWR as a prognostic factor accurately predicts long-term survival in ICH patients. However, validation in large-scale multicenter studies and further exploration of biomarkers are needed.

    Keywords: intracerebral hemorrhage, Medical Information Mart for Intensive Care-IV Database (MIMIC-IV database), nomogram, Platelet, White blood cell

    Received: 31 Jul 2024; Accepted: 27 Sep 2024.

    Copyright: © 2024 Xu, Wang, Chen, Tian and You. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Chao You, West China Hospital, Sichuan University, Chengdu, China

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.