Skip to main content

ORIGINAL RESEARCH article

Front. Neurol.
Sec. Stroke
Volume 15 - 2024 | doi: 10.3389/fneur.2024.1377843

The rate-pressure product combined model within 24 hours on admission predicts the 30-day mortality rate in conservatively treated patients with intracerebral hemorrhage

Provisionally accepted
Hui Zheng Hui Zheng *Yuguang Tang Yuguang Tang Hai Zhou Hai Zhou Xiang Ji Xiang Ji *
  • Second Affiliated Hospital, Chongqing Medical University, Chongqing, China

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

    Background and Objectives: Recently, some literature has proposed new indicators such as rate-pressure product, platelet-to-lymphocyte ratio, neutrophil-to-lymphocyte ratio, etc. However, there has been no literature that has utilized these new indicators to establish a predictive model for assessing the risk of mortality in patients within 24 hours on admission. Therefore, this study aims to build a predictive model that can rapidly assess the likelihood of mortality in patients within 24 hours of admission. Methods: The datasets used in this study are available from the corresponding author upon reasonable request. Patients were randomly assigned to the training or validation cohort based on a ratio of 7:3, which was implemented as internal validations for the final predictive models. In the training set, lasso regression was employed to select predictive factors, followed by both univariate and subsequent multivariate analysis. The predictive ability was assessed by the area under the receiver operating characteristic (ROC) curve. Results: A total of 428 patients were included in our research. The final model included 4 independent predictors (glasgow coma scale, hematoma volume, rate-pressure product, c-reactive protein) and was developed as a simple-to-use nomogram. The training set and internal validation set model's C-index are 0.933 and 0.954, demonstrating moderate predictive ability with regard to risks of mortality. Compared to ICH score (AUC:0.910 and 0.925), the Net Reclassification Index (NRI) is 0.298 ( CI= -0.105 - 0.701, p:0.147) and Integrated Discrimination Improvement (IDI) is 0.089 ( CI= -0.049 - 0.228, p:0.209).Our model is equally excellent as the classic ICH score model. Conclusion: We developed a model with four independent risk factors to predict the mortality of ICH patients. Our predictive model is effective in assessing the risk of mortality in patients within 24 hours on admission, which might be worth considering in clinical settings after further external validation Keywords: Intracerebral hemorrhage, Rate-Pressure Product, ICH Score, Prognostic Model

    Keywords: intracerebral hemorrhage, Rate-pressure product, ICH score, Prognostic model, GCS - Glasglow coma scale

    Received: 28 Jan 2024; Accepted: 21 May 2024.

    Copyright: © 2024 Zheng, Tang, Zhou and Ji. 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:
    Hui Zheng, Second Affiliated Hospital, Chongqing Medical University, Chongqing, China
    Xiang Ji, Second Affiliated Hospital, Chongqing Medical University, Chongqing, 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.