Literature DB >> 25836631

Stroke rehabilitation and risk of mortality: a population-based cohort study stratified by age and gender.

Wen-Hsuan Hou1, Cheng-Hua Ni2, Chung-Yi Li3, Pei-Shan Tsai4, Li-Fong Lin5, Hsiu-Nien Shen6.   

Abstract

BACKGROUND: To determine the survival of patients with stroke for up to 10 years after a first-time stroke and to investigate whether stroke rehabilitation within the first 3 months reduced long-term mortality in these patients.
METHODS: We used the medical claims data for a random sample of 1 million insured Taiwanese registered in the year 2000. A total of 7767 patients admitted for a first-time stroke between 2000 and 2005; 1285 (16.7%) received rehabilitation within the first 3 months after stroke admission. The other 83.3% of patients served as a comparison cohort. A Cox proportional hazards model was used to estimate the relative risk of mortality in relation to the rehabilitation intervention.
RESULTS: In all, 181 patients with rehabilitation and 1123 controls died, representing respective mortality rates of 25.0 and 32.7 per 1000 person-years. Rehabilitation was significantly associated with a lower risk of mortality (hazard ratio .68, 95% confidence interval .58-.79). Such a beneficial effect tended to be more obvious as the frequency of rehabilitation increased (P for the trend <.0001) and was more evident in female patients.
CONCLUSIONS: Stroke rehabilitation initiated in the first 3 months after a stroke admission may significantly reduce the risk of mortality for 10 years after the stroke.
Copyright © 2015 National Stroke Association. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Stroke; cohort study; mortality; rehabilitation

Mesh:

Year:  2015        PMID: 25836631     DOI: 10.1016/j.jstrokecerebrovasdis.2015.03.006

Source DB:  PubMed          Journal:  J Stroke Cerebrovasc Dis        ISSN: 1052-3057            Impact factor:   2.136


  2 in total

1.  Validity of a stroke severity index for administrative claims data research: a retrospective cohort study.

Authors:  Sheng-Feng Sung; Cheng-Yang Hsieh; Huey-Juan Lin; Yu-Wei Chen; Chih-Hung Chen; Yea-Huei Kao Yang; Ya-Han Hu
Journal:  BMC Health Serv Res       Date:  2016-09-22       Impact factor: 2.655

2.  Machine learning to predict mortality after rehabilitation among patients with severe stroke.

Authors:  Domenico Scrutinio; Carlo Ricciardi; Leandro Donisi; Ernesto Losavio; Petronilla Battista; Pietro Guida; Mario Cesarelli; Gaetano Pagano; Giovanni D'Addio
Journal:  Sci Rep       Date:  2020-11-18       Impact factor: 4.379

  2 in total

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