首次急性缺血性脑卒中患者的共病模式及其与功能预后的关系

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":"首次急性缺血性脑卒中患者的共病模式及其与功能预后的关系","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":"{\"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}","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

摘要

背景和目的:急性缺血性卒中(AIS)是最常见的卒中类型,与功能损害的显著负担相关。约94.2%的AIS患者存在多种合并症,但它们如何影响AIS预后仍不得而知。本研究旨在全面评估AIS患者的多种相关合并症及其模式与功能障碍之间的关系。方法:本研究利用了中国国家卒中登记处3 (CNSR3)的数据,该登记处包括2015年8月至2018年3月期间的201家中国医院。共纳入10508例AIS患者,中位年龄62.0岁(IQR: 54.0 ~ 70.0),其中65%为女性。在分析中考虑了18种AIS相关的合并症,并采用频繁的模式挖掘来识别AIS患者中潜在的合并症模式。AIS事件发生一年后的功能结局采用改良兰金量表(mRS)进行评估。采用Logistic回归模型评估合并症及其模式与AIS预后的关系。在此基础上,利用关联规则挖掘技术挖掘隐藏的共病组合及其与功能结果之间的关系。结果:88.9%的AIS患者存在合并症。大多数AIS患者表现出一到三种合并症。确定了AIS患者的8种主要合并症。常见代谢性疾病、冠心病和心房颤动的模式与不良功能预后的发展相关性最强(OR = 2.49, 1.59至3.89)。心力衰竭和关节炎的进一步合并显著增加了功能不良结果的可能性,分别提高了3.11和5.52。结论:我们的研究显示,合并症在中国AIS患者中非常普遍,包括多种模式。特定的合并症和合并症模式与不良的功能预后密切相关。我们的研究结果强调了优先考虑AIS和AIS相关合并症的综合管理以降低AIS患者残疾风险的重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Comorbidity Patterns in Patients with First-Ever Acute Ischemic Stroke and Their Associations with Functional Outcomes.

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
通过发布文献求助,成功后即可免费获取论文全文。 去求助
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