Literature DB >> 26166419

Impact of Poststroke Medical Complications on 30-Day Readmission Rate.

Sonia V Shah1, Carlos Corado1, Deborah Bergman1, Yvonne Curran1, Richard A Bernstein1, Andrew M Naidech1, Shyam Prabhakaran2.   

Abstract

BACKGROUND: Some previously identified predictors of 30-day stroke readmission, including age and stroke severity, are nonmodifiable. We assessed the hypothesis that in-hospital medical complications, which are potentially modifiable, after ischemic stroke (IS) and transient ischemic attack (TIA) predict 30-day readmission.
METHODS: In a single-center prospective cohort study of IS and TIA patients admitted from August 1, 2012, to July 31, 2013, we identified those who survived to 30-day follow-up or died during a readmission within 30 days. Patients readmitted within 30 days of discharge were identified by telephone assessment and review of hospital records. We evaluated the association between 12 prespecified and prospectively collected poststroke medical complications and 30-day readmission adjusting for baseline characteristics, in-hospital course and treatments, and discharge status using univariable and multivariable Cox proportional hazards models.
RESULTS: Among 505 patients, 107 (21.2%) patients had at least 1 medical complication during hospitalization. The most common complications were urinary tract infection (8.7%), venous thromboembolism (6.1%), and pneumonia (4.6%). Seventy-eight (15.4%) patients were readmitted within 30 days. On multivariable Cox proportional hazards analysis, cardioembolic or large-artery atherosclerotic subtype (adjusted hazard ratio [HR], 1.82; 95% confidence interval [CI], 1.17-2.83) and any medical complication (adjusted HR, 1.68; 95% CI, 1.04-2.73) increased the risk of 30-day readmission. Among the 24 readmitted patients who experienced an initial medical complication, 10 (41.6%) were considered potentially preventable.
CONCLUSIONS: The occurrence of medical complications after IS or TIA increased the risk of 30-day all-cause readmission. Stroke patients with medical complications may be suitable for targeted interventions to prevent readmissions.
Copyright © 2015 National Stroke Association. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Medical complications; health policy; outcomes; recurrent stroke

Mesh:

Year:  2015        PMID: 26166419     DOI: 10.1016/j.jstrokecerebrovasdis.2015.04.037

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


  18 in total

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Authors:  Sidney T Le; S Andrew Josephson; Hans A Puttgen; Lorrie Gibson; Elan L Guterman; Heather M Leicester; Carla L Graf; John C Probasco
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2.  Association Between Early Outpatient Visits and Readmissions After Ischemic Stroke.

Authors:  Samuel W Terman; Mathew J Reeves; Lesli E Skolarus; James F Burke
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3.  Predictors of hospital readmission 1 year after ischemic stroke.

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5.  A Multi-Component Transition of Care Improvement Project to Reduce Hospital Readmissions Following Ischemic Stroke.

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6.  Fasting blood glucose-to-glycated hemoglobin ratio and all-cause mortality among Chinese in-hospital patients with acute stroke: a 12-month follow-up study.

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Journal:  BMC Geriatr       Date:  2022-06-20       Impact factor: 4.070

Review 7.  Prevalence, causes and risk factors of hospital readmissions after acute stroke and transient ischemic attack: a systematic review and meta-analysis.

Authors:  Weibin Zhong; Na Geng; Pengfei Wang; Zhenguang Li; Lili Cao
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8.  Challenges in the Medical Management of Symptomatic Intracranial Stenosis in an Urban Setting.

Authors:  Rajbeer S Sangha; Andrew M Naidech; Carlos Corado; Sameer A Ansari; Shyam Prabhakaran
Journal:  Stroke       Date:  2017-07-05       Impact factor: 7.914

9.  Idiopathic Intracranial Hypertension: Evaluation of Admissions and Emergency Readmissions through the Hospital Episode Statistic Dataset between 2002-2020.

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Journal:  Life (Basel)       Date:  2021-05-05

10.  In-hospital complications affect short-term and long-term mortality in ICH: a prospective cohort study.

Authors:  Yaqing Zhang; Yongjun Wang; Ruijun Ji; Anxin Wang; Yilong Wang; Zhonghua Yang; Liping Liu; Penglian Wang; Xingquan Zhao
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