Literature DB >> 23639547

Rehabilitation outcomes of stroke patients with and without diabetes.

Bridgett Piernik-Yoder1, Norma Ketchum.   

Abstract

OBJECTIVE: To investigate the relation of diabetes comorbidity and the rehabilitation outcomes of patients with stroke.
DESIGN: Secondary data analysis.
SETTING: Inpatient rehabilitation facilities. PARTICIPANTS: Patients with stroke (N=35,243) who received inpatient rehabilitation in 2004 through 2008.
INTERVENTIONS: None. MAIN OUTCOME MEASURES: FIM, length of stay, and discharge destination.
RESULTS: Mean age ± SD of the sample was 71.0 ± 13.2 years. The percent of the sample of Medicare beneficiaries was 53.8%, whereas 46.2% had other sources of funding. Of the patients in the sample, 34.5% had a comorbidity of diabetes, with 17.2% classified as tier-eligible and 82.8% as nontier eligible. Findings included that patients in this sample with diabetes were admitted for rehabilitation services at a younger age than those without diabetes and support previous studies in which tier-eligible diabetes comorbidities moderated by patient age were found to be significant predictors of stroke rehabilitation outcomes. Furthermore, similar findings remained regardless of payer source.
CONCLUSIONS: This study provides additional evidence that diabetes as a comorbidity is significantly related to stroke rehabilitation outcome, but the relation is moderated by patient age.
Copyright © 2013 American Congress of Rehabilitation Medicine. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  CI; CVA; Diabetes mellitus; ICD-9; International Classification of Diseases, 9th Revision; OR; PPS; Rehabilitation; Stroke; cerebrovascular accident; confidence interval; odds ratio; prospective payment system

Mesh:

Year:  2013        PMID: 23639547     DOI: 10.1016/j.apmr.2013.04.014

Source DB:  PubMed          Journal:  Arch Phys Med Rehabil        ISSN: 0003-9993            Impact factor:   3.966


  8 in total

1.  Associations of obesity and weight change with physical and mental impairments in elderly Chinese people.

Authors:  Jingjing Zhu; Yong-Bing Xiang; Hui Cai; Honglan Li; Yu-Tang Gao; Wei Zheng; Xiao-Ou Shu
Journal:  Maturitas       Date:  2017-11-28       Impact factor: 4.342

2.  MORe PREcISE: a multicentre prospective study of patient reported outcome measures in stroke morbidity: a cross sectional study.

Authors:  Amber E Corrigan; Ben Carter; Alexander Smith; Anna Pennington; Jonathan Hewitt
Journal:  BMC Neurol       Date:  2022-04-20       Impact factor: 2.903

3.  Disability in long-term care residents explained by prevalent geriatric syndromes, not long-term care home characteristics: a cross-sectional study.

Authors:  Natasha E Lane; Walter P Wodchis; Cynthia M Boyd; Thérèse A Stukel
Journal:  BMC Geriatr       Date:  2017-02-10       Impact factor: 3.921

4.  Multimorbidity associated with functional independence among community-dwelling older people: a cross-sectional study in Southern China.

Authors:  Xiao-Xiao Wang; Wei-Quan Lin; Xu-Jia Chen; Ying-Yu Lin; Ling-Ling Huang; Sheng-Chao Zhang; Pei-Xi Wang
Journal:  Health Qual Life Outcomes       Date:  2017-04-17       Impact factor: 3.186

5.  Glycated Hemoglobin as a Marker for Predicting Outcomes of Patients With Stroke (Ischemic and Hemorrhagic): A Systematic Review and Meta-Analysis.

Authors:  Yaya Bao; Dadong Gu
Journal:  Front Neurol       Date:  2021-03-31       Impact factor: 4.003

6.  Effect of Diabetes on Post-stroke Recovery: A Systematic Narrative Review.

Authors:  Seoyon Yang; Mathieu Boudier-Revéret; SuYeon Kwon; Min Yong Lee; Min Cheol Chang
Journal:  Front Neurol       Date:  2021-12-14       Impact factor: 4.003

7.  Assessment of the effects of rehabilitation after cerebrovascular accident in patients with diabetes mellitus and hypertension as risk factors.

Authors:  Edina Tanovic; Senad Selimovic; Haris Tanovic
Journal:  Med Arch       Date:  2014

Review 8.  Prevalence of diabetes and its effects on stroke outcomes: A meta-analysis and literature review.

Authors:  Lik-Hui Lau; Jeremy Lew; Karen Borschmann; Vincent Thijs; Elif I Ekinci
Journal:  J Diabetes Investig       Date:  2018-10-13       Impact factor: 4.232

  8 in total

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