Comorbidity Patterns in Patients with First-Ever Acute Ischemic Stroke and Their Associations with Functional Outcomes.

IF 3.2 3区 医学 Q2 CLINICAL NEUROLOGY
Xinying Huang, Zuolin Lu, Tianqi Li, Juan Zhang, Xia Meng, Yachen Wang, Weihao Shao, Xiaoxia Wei, Yong Jiang, Ruitai Shao
{"title":"Comorbidity Patterns in Patients with First-Ever Acute Ischemic Stroke and Their Associations with Functional Outcomes.","authors":"Xinying Huang, Zuolin Lu, Tianqi Li, Juan Zhang, Xia Meng, Yachen Wang, Weihao Shao, Xiaoxia Wei, Yong Jiang, Ruitai Shao","doi":"10.1159/000544170","DOIUrl":null,"url":null,"abstract":"<p><strong>Introduction: </strong>Acute ischemic stroke (AIS) is the most prevalent type of stroke, associated with a significant burden of functional impairments. About 94.2% of AIS patients present with multiple comorbidities, but how they affect AIS prognosis remains largely unknown. This study aimed to comprehensively assess the associations of a wide range of AIS-related comorbidities, their patterns, with functional impairments in AIS patients.</p><p><strong>Methods: </strong>This study utilized data from the China National Stroke Registry 3 (CNSR3), a prospective registry encompassing 201 Chinese hospitals from August 2015 to March 2018. A total of 10,508 AIS patients were included, with a median age of 62.0 years (IQR: 54.0-70.0), and 65% were female. Eighteen AIS-related comorbidities were considered in the analysis and frequent pattern mining was employed to identify potential comorbidity patterns among AIS patients. Functional outcomes at 1 year after an AIS event were assessed using the modified Rankin Scale. Logistic regression models were utilized to evaluate associations of comorbidities, their patterns with AIS prognosis. Furthermore, association rule mining was applied to explore the hidden comorbidity combinations and their relationship with functional outcomes based on the identified patterns.</p><p><strong>Results: </strong>Comorbidity was observed in 88.9% of AIS patients. The majority of AIS patients exhibited one to 3 comorbidities. Eight patterns of main comorbidities among AIS patients were identified. The pattern of common metabolic disorders, coronary heart disease, and atrial fibrillation demonstrated the strongest association (OR = 2.49, 1.59-3.89) with the development of poor functional outcomes. The further combination of heart failure and arthritis significantly increases the probability of poor functional outcomes, with lifts of 3.11 and 5.52, respectively.</p><p><strong>Conclusions: </strong>Our study revealed that comorbidity is highly prevalent among AIS patients in China, encompassing diverse patterns. Specific comorbidities and comorbidity patterns are closely associated with poor functional outcomes. Our findings emphasized the importance of prioritizing comprehensive management of AIS and AIS-related comorbidities to reduce the risk of disability among AIS patients.</p>","PeriodicalId":54730,"journal":{"name":"Neuroepidemiology","volume":" ","pages":"1-13"},"PeriodicalIF":3.2000,"publicationDate":"2025-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Neuroepidemiology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1159/000544170","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

Introduction: Acute ischemic stroke (AIS) is the most prevalent type of stroke, associated with a significant burden of functional impairments. About 94.2% of AIS patients present with multiple comorbidities, but how they affect AIS prognosis remains largely unknown. This study aimed to comprehensively assess the associations of a wide range of AIS-related comorbidities, their patterns, with functional impairments in AIS patients.

Methods: This study utilized data from the China National Stroke Registry 3 (CNSR3), a prospective registry encompassing 201 Chinese hospitals from August 2015 to March 2018. A total of 10,508 AIS patients were included, with a median age of 62.0 years (IQR: 54.0-70.0), and 65% were female. Eighteen AIS-related comorbidities were considered in the analysis and frequent pattern mining was employed to identify potential comorbidity patterns among AIS patients. Functional outcomes at 1 year after an AIS event were assessed using the modified Rankin Scale. Logistic regression models were utilized to evaluate associations of comorbidities, their patterns with AIS prognosis. Furthermore, association rule mining was applied to explore the hidden comorbidity combinations and their relationship with functional outcomes based on the identified patterns.

Results: Comorbidity was observed in 88.9% of AIS patients. The majority of AIS patients exhibited one to 3 comorbidities. Eight patterns of main comorbidities among AIS patients were identified. The pattern of common metabolic disorders, coronary heart disease, and atrial fibrillation demonstrated the strongest association (OR = 2.49, 1.59-3.89) with the development of poor functional outcomes. The further combination of heart failure and arthritis significantly increases the probability of poor functional outcomes, with lifts of 3.11 and 5.52, respectively.

Conclusions: Our study revealed that comorbidity is highly prevalent among AIS patients in China, encompassing diverse patterns. Specific comorbidities and comorbidity patterns are closely associated with poor functional outcomes. Our findings emphasized the importance of prioritizing comprehensive management of AIS and AIS-related comorbidities to reduce the risk of disability among AIS patients.

求助全文
约1分钟内获得全文 求助全文
来源期刊
Neuroepidemiology
Neuroepidemiology 医学-公共卫生、环境卫生与职业卫生
CiteScore
9.90
自引率
1.80%
发文量
49
审稿时长
6-12 weeks
期刊介绍: ''Neuroepidemiology'' is the only internationally recognised peer-reviewed periodical devoted to descriptive, analytical and experimental studies in the epidemiology of neurologic disease. The scope of the journal expands the boundaries of traditional clinical neurology by providing new insights regarding the etiology, determinants, distribution, management and prevention of diseases of the nervous system.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信