ArticleNeuroepidemiology2026
Comorbidity Patterns in Patients with First-Ever Acute Ischemic Stroke and Their Associations with Functional Outcomes.
Article in Neuroepidemiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- The Impact of Comorbidities on Functional Outcomes After Rehabilitation in Stroke Patients.Healthcare (Basel, Switzerland) · 2026Article
- Observational
- Identification of key metabolic indicators associated with the comorbidity of ischemic stroke and diabetes mellitus using an optimal interpretable clinlabomics model.Frontiers in cardiovascular medicine · 2026Article
- Identification of Drug-Related Problems and Assessment of Health-Related Quality of Life in Elderly Multimorbid Inpatients with Stroke.Integrated pharmacy research & practice · 2026Article
- Association of genotypes at single-nucleotide polymorphisms inIBRO neuroscience reports · 2025Article
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionAcute 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.
methodsThis 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.
resultsComorbidity 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.
conclusionsOur 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.
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