Suppr超能文献

韩国首次卒中后驾驶恢复预测:KOSCO 研究。

Prediction for return to driving after the first-ever stroke in Korea: The KOSCO study.

机构信息

Department of Rehabilitation Medicine, School of Medicine, Chungnam National University, Daejeon, South Korea.

出版信息

J Rehabil Med. 2018 Sep 28;50(9):800-805. doi: 10.2340/16501977-2373.

Abstract

OBJECTIVE

To identify contributing factors that can be used to predict which patients with first-ever stroke will return to driving during 1 year after stroke.

DESIGN

Multicentre cohort study.

SUBJECTS

A total of 620 first-ever stroke patients who drove before stroke.

METHODS

The Stroke Cohort for Functioning and Rehabilitation is a large, multicentre, prospective cohort study of all patients with acute first-ever stroke admitted to participating hospitals in 9 areas of Korea. This study analysed the data from 1,354 patients who completed a face-to-face survey about return to driving at 1 year after stroke. A multiple binary logistic regression analysis model was used to analyse factors that potentially influenced return to driving during 12 months after stroke.

RESULTS

Of 620 subjects, 410 (66.1%) returned to driving after stroke. They resumed driving at a mean of 2.15 months after stroke (standard deviation 2.32 years). Regression models showed that sex, age, modified Rankin scale (mRS), education about return to driving, and Fugl-Meyer Assessment (FMA) were significantly related to return to driving. Stroke type, ambulatory function, and language function at 7 days were not correlated with return to driving.

CONCLUSION

Male patients, education about return to driving, lower mRS, and higher FMA at 7 days after stroke are predictors of return to driving. This model could be used by clinicians to help counsel patients and their families.

摘要

目的

确定可用于预测首次卒中后哪些患者将在卒中后 1 年内恢复驾驶的相关因素。

设计

多中心队列研究。

对象

共纳入 620 名曾有过驾驶史的首次卒中患者。

方法

卒中功能与康复队列研究是一项针对韩国 9 个地区所有急性首次卒中患者的大型多中心前瞻性队列研究。该研究分析了完成卒中后 1 年重返驾驶状况面对面调查的 1354 名患者的数据。采用多元二项逻辑回归分析模型,分析了卒中后 12 个月内可能影响重返驾驶的因素。

结果

620 名患者中,410 名(66.1%)在卒中后恢复了驾驶。他们在卒中后平均 2.15 个月(标准差 2.32 年)恢复驾驶。回归模型显示,性别、年龄、改良 Rankin 量表(mRS)、重返驾驶教育以及 Fugl-Meyer 评估(FMA)与重返驾驶显著相关。卒中类型、7 天的步行功能和语言功能与重返驾驶无关。

结论

男性患者、重返驾驶教育、较低的 mRS 和较高的 FMA 是卒中后重返驾驶的预测因素。该模型可由临床医生用于帮助患者及其家属进行咨询。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验