ArticleJournal of personalized medicine2021
Another Look at Obesity Paradox in Acute Ischemic Stroke: Association Rule Mining.
Article in Journal of personalized medicine, 2021. 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.
- Obesity's Role in Stroke Incidence Among Smokers:Saudi medical journal · 2026Article
- Pulmonary Embolism in Acute Ischaemic Stroke: Evolving Evidence, Diagnostic Challenges, and a Novel Thromboinflammatory Axis Hypothesis.International journal of molecular sciences · 2025Review
- The Association Between Thymidylate Synthase Gene Polymorphisms and the Risk of Ischemic Stroke in Chinese Han Population.Biochemical genetics · 2024Article
- Impact of Obesity on Early In-Hospital Outcomes after Coronary Artery Bypass Grafting Surgery in Acute Coronary Syndrome: A Propensity Score Matching Analysis.Journal of clinical medicine · 2022Article
- The Impact of the Association between Cancer and Diabetes Mellitus on Mortality.Journal of personalized medicine · 2022Article
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Authors and funding
12 authors.
Funding
Abstract
Though obesity is generally associated with the development of cardiovascular disease (CVD) risk factors, previous reports have also reported that obesity has a beneficial effect on CVD outcomes. We aimed to verify the existing obesity paradox through binary logistic regression (BLR) and clarify the paradox via association rule mining (ARM). Patients with acute ischemic stroke (AIS) were assessed for their 3-month functional outcome using the modified Rankin Scale (mRS) score. Predictors for poor outcome (mRS 3-6) were analyzed through BLR, and ARM was performed to find out which combination of risk factors was concurrently associated with good outcomes using maximal support, confidence, and lift values. Among 2580 patients with AIS, being obese (OR [odds ratio], 0.78; 95% CI, 0.62-0.99) had beneficial effects on the outcome at 3 months in BLR analysis. In addition, the ARM algorithm showed obese patients with good outcomes were also associated with an age less than 55 years and mild stroke severity. While BLR analysis showed a beneficial effect of obesity on stroke outcome, in ARM analysis, obese patients had a relatively good combination of risk factor profiles compared to normal BMI patients. These results may partially explain the obesity paradox phenomenon in AIS patients.
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