External validation of the MR PREDICTS@24H model: predicting functional outcome after endovascular treatment in stroke.

IF 2.1 Q3 CLINICAL NEUROLOGY

BMJ Neurology Open Pub Date : 2025-04-14 eCollection Date: 2025-01-01 DOI:10.1136/bmjno-2024-000973

Jeanette Tas, Cristina Cerinza Sick, Caterina Kulyk, Bogdan-Andrei Ianosi, Patrizia Spiandorello, Milan R Vosko, Michael Sonnberger, Melanie Bergmann, Raimund Helbok

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Abstract

Background: Chalos et al recently developed the MR PREDICTS@24H model to predict 90 days functional outcomes in ischaemic stroke patients following endovascular treatment (EVT). We aimed to validate this model in the real-world situation of endovascular stroke patients admitted to a tertiary care hospital.

Methods: We conducted a retrospective cohort study including a selection of adult (≥18 years old) ischaemic stroke patients eligible for EVT in a tretiary care center between January 2014 and May 2023. Model performance was assessed using C-statistics for discrimination and calibration plots for goodness of fit.

Results: Among 254 eligible stroke patients, the model demonstrates a strong discriminatory performance for both functional independence (C-statistics 0.92; 95% CI 0.88 to 0.95) and survival (C-statistic 0.83; 95% CI 0.76 to 0.90). Compared with the MR CLEAN Registry, no significant differences were observed in discriminative ability (functional independence: z-score 0.54, p=0.590; survival: z-score -1.66, p=0.0962).

Conclusions: The MR PREDICTS@24H model reliably predicts outcomes in a real-world setting and may help clinicians in the communication with patient relatives.

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外部验证的MR PREDICTS@24H模型：预测脑卒中血管内治疗后的功能结局。

背景：Chalos等人最近开发了MR PREDICTS@24H模型来预测缺血性卒中患者在血管内治疗（EVT）后90天的功能结局。我们的目的是在三级医院的血管内卒中患者的现实情况下验证该模型。方法：我们进行了一项回顾性队列研究，包括选择2014年1月至2023年5月在一家三级护理中心接受EVT治疗的成年（≥18岁）缺血性卒中患者。使用c统计量进行判别，使用校准图进行拟合优度评估模型性能。结果：在254例符合条件的脑卒中患者中，该模型在功能独立性(C-statistics 0.92；95% CI 0.88 ~ 0.95)和生存率(C-statistic 0.83；95% CI 0.76 ~ 0.90)。与MR CLEAN Registry相比，判别能力无显著差异(功能独立性：z-score 0.54, p=0.590；生存率：z-score -1.66, p=0.0962)。结论：MR PREDICTS@24H模型可靠地预测了现实世界的结果，可以帮助临床医生与患者亲属沟通。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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