Literature DB >> 28017214

Stroke severity may predict causes of readmission within one year in patients with first ischemic stroke event.

Cheng-Yang Hsieh1, Huey-Juan Lin2, Ya-Han Hu3, Sheng-Feng Sung4.   

Abstract

INTRODUCTION: Readmissions after stroke are costly. Risk assessment using information available upon admission could identify high-risk patients for potential interventions to reduce readmissions. Baseline stroke severity has been suspected to be a factor in readmission; however, the exact nature of the impact has not been adequately understood.
METHODS: Hospitalized adult patients with first-ever ischemic stroke were identified from a nationwide administrative database. Stroke severity was assessed using a validated claims-based stroke severity index. Cox proportional hazards models were used to investigate the relationship between stroke severity and first readmission within one year.
RESULTS: Of the 10,877 patients, 4295 (39.5%) were readmitted in one year. The cumulative risk of readmission was 34.1%, 44.7%, and 62.9% in patients with mild, moderate, and severe stroke, respectively. Patients with greater stroke severity had a significantly higher adjusted risk of first readmission for infection, metabolic disorders, neurological sequelae, and pulmonary diseases, whereas those with lesser stroke severity were prone to first readmission due to accidents. Stroke severity did not affect the risk of first readmission for recurrent stroke/transient ischemic attack, other cardiovascular events, malignancy, ulcers/upper gastrointestinal bleeding, kidney diseases, and others.
CONCLUSIONS: Stroke severity in patients with first-ever ischemic stroke not only predicts readmission but also relates to the cause of readmission. Our results might provide important information for tailoring discharge planning to prevent readmissions.
Copyright © 2016 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Claims data; Ischemic stroke; Readmission; Severity

Mesh:

Year:  2016        PMID: 28017214     DOI: 10.1016/j.jns.2016.11.026

Source DB:  PubMed          Journal:  J Neurol Sci        ISSN: 0022-510X            Impact factor:   3.181


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