中风机械血栓切除术后住院时间延长:对 703 名患者的单中心分析。

IF 3.9 2区 医学 Q1 CLINICAL NEUROLOGY
Neurosurgery Pub Date : 2025-03-01 Epub Date: 2024-07-23 DOI:10.1227/neu.0000000000003128
Joanna M Roy, Shyam Majmundar, Shray Patel, Antony Fuleihan, Basel Musmar, Kareem El Naamani, Stavropoula I Tjoumakaris, M Reid Gooch, Robert H Rosenwasser, Pascal M Jabbour
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引用次数: 0

摘要

背景和目的:机械取栓术(MT)对于改善急性缺血性卒中的功能预后至关重要。住院时间(LOS)是为激励基于价值的护理而实施的一项报销指标。我们的研究旨在确定美国一家高流量中心接受 MT 患者的 LOS 预测因素:这是一项回顾性研究,研究对象是 2017 年至 2023 年在一家机构接受 MT 治疗的患者。本研究排除了在住院期间出现死亡的患者。延长的住院时间(eLOS)定义为住院时间中位数的上四分位数(≥75th)。进行了单变量和多变量分析,P值小于0.05表示有统计学意义:73 名患者符合纳入标准。组群的中位年龄为 72 岁(IQR:61-82),57.2% 为女性。住院时间中位数为 6,IQR:4-10。队列中有 28.9% 的患者(n = 203)经历过 eLOS。多变量回归模型确定年龄(几率比 [OR]:0.98,95% CI:0.97-0.99)、糖尿病(OR:1.68,95% CI:1.15-2.44)和卒中出血性转变(OR:2.89,95% CI:0.39-0.90)为 eLOS 的预测因素。而入院前使用抗血小板(OR:0.55,95% CI:0.34-0.89)和卒中前较高的基线修正 Rankin 量表与较低的 eLOS 相关(OR:0.59 [0.39-0.90];P < .05):通过确定 eLOS 的预测因素,我们为旨在优化血栓切除术后护理路径和改善患者预后的针对性干预奠定了基础。我们研究的意义不仅限于临床实践,还能为医疗资源利用、报销策略和以价值为基础的护理措施提供启示。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Extended Length of Stay After Mechanical Thrombectomy for Stroke: A Single-Center Analysis of 703 Patients.

Background and objectives: Mechanical thrombectomy (MT) is crucial for improving functional outcomes for acute ischemic stroke. Length of stay (LOS) is a reimbursement metric implemented to incentivize value-based care. Our study aims to identify predictors of LOS in patients undergoing MT at a high-volume center in the United States.

Methods: This was a retrospective study of patients who underwent MT at a single institution from 2017 to 2023. Patients who experienced mortality during their course of hospital stay were excluded from this study. Extended LOS (eLOS) was defined as the upper quartile (≥75th) of the median duration of hospital stay. Univariate and multivariate analyses were performed, with P values < .05 denoting statistical significance.

Results: Seven hundred three patients met criteria for inclusion. The median age of the cohort was 72 years (IQR: 61-82), and 57.2% was female. The median LOS was 6, IQR: 4-10. A total of 28.9% of the cohort (n = 203) patients experienced eLOS. The multivariate regression model identified age (odds ratio [OR]: 0.98, 95% CI: 0.97-0.99), diabetes mellitus (OR: 1.68, 95% CI: 1.15-2.44), and hemorrhagic transformation of stroke (OR: 2.89, 95% CI: 0.39-0.90) as predictors of eLOS, whereas antiplatelet use before admission (OR: 0.55, 95% CI: 0.34-0.89) and higher baseline modified Rankin Scale before stroke were associated with lower odds (OR: 0.59 [0.39-0.90]; P < .05) of eLOS.

Conclusion: By identifying predictors of eLOS, we provide a foundation for targeted interventions aimed at optimizing post-thrombectomy care pathways and improving patient outcomes. The implications of our study extend beyond clinical practice, offering insights into healthcare resource utilization, reimbursement strategies, and value-based care initiatives.

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来源期刊
Neurosurgery
Neurosurgery 医学-临床神经学
CiteScore
8.20
自引率
6.20%
发文量
898
审稿时长
2-4 weeks
期刊介绍: Neurosurgery, the official journal of the Congress of Neurological Surgeons, publishes research on clinical and experimental neurosurgery covering the very latest developments in science, technology, and medicine. For professionals aware of the rapid pace of developments in the field, this journal is nothing short of indispensable as the most complete window on the contemporary field of neurosurgery. Neurosurgery is the fastest-growing journal in the field, with a worldwide reputation for reliable coverage delivered with a fresh and dynamic outlook.
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