Prediction of delayed reperfusion in patients with incomplete reperfusion following thrombectomy

医学 溶栓 逻辑回归 心房颤动 置信区间 内科学 冲程(发动机) 一致性 心脏病学 心肌梗塞 机械工程 工程类
作者
Adnan Mujanović,Robin Brigger,Christoph C. Kurmann,Felix Ng,Mattia Branca,Tomas Dobrocky,Thomas R. Meinel,Daniel Windecker,William Almiri,Lorenz Grunder,Morin Beyeler,David Seiffge,Sara Pilgram‐Pastor,Marcel Arnold,Eike I. Piechowiak,Bruce Campbell,Jan Gralla,Urs Fischer,Johannes Kaesmacher
出处
期刊:European stroke journal [SAGE Publishing]
卷期号:8 (2): 456-466 被引量:6
标识
DOI:10.1177/23969873231164274
摘要

The clinical course of patients with incomplete reperfusion after thrombectomy, defined as an expanded Thrombolysis in Cerebral Infarction (eTICI) score of 2a-2c, is heterogeneous. Patients showing delayed reperfusion (DR) have good clinical outcomes, almost comparable to patients with ad-hoc TICI3 reperfusion. We aimed to develop and internally validate a model that predicts DR occurrence in order to inform physicians about the likelihood of a benign natural disease progression.Single-center registry analysis including all consecutive, study-eligible patients admitted between 02/2015 and 12/2021. Preliminary variable selection for the prediction of DR was performed using bootstrapped stepwise backward logistic regression. Interval validation was performed with bootstrapping and the final model was developed using a random forests classification algorithm. Model performance metrics are reported with discrimination, calibration, and clinical decision curves. Primary outcome was concordance statistics as a measure of goodness of fit for the occurrence of DR.A total of 477 patients (48.8% female, mean age 74 years) were included, of whom 279 (58.5%) showed DR on 24 follow-up. The model's discriminative ability for predicting DR was adequate (C-statistics 0.79 [95% CI: 0.72-0.85]). Variables with strongest association with DR were: atrial fibrillation (aOR 2.06 [95% CI: 1.23-3.49]), Intervention-To-Follow-Up time (aOR 1.06 [95% CI: 1.03-1.10]), eTICI score (aOR 3.49 [95% CI: 2.64-4.73]), and collateral status (aOR 1.33 [95% CI: 1.06-1.68]). At a risk threshold of R = 30%, use of the prediction model could potentially reduce the number of additional attempts in one out of four patients who will have spontaneous DR, without missing any patients who do not show spontaneous DR on follow-up.The model presented here shows fair predictive accuracy for estimating chances of DR after incomplete thrombectomy. This may inform treating physicians on the chances of a favorable natural disease progression if no further reperfusion attempts are made.

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