Evidence mapPaperPMID 42293071Full record

ArticleFrontiers in neurology2026

Association between triglyceride glucose-body mass index and outcomes in patients with acute ischemic stroke: a retrospective secondary analysis of a prospective Korean cohort.

Mingxing Lou, Changchun Cao, Jie Jia

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Article in Frontiers in neurology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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3 authors.

Mingxing Lou *Department of Rehabilitation Medicine, The First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, China.
Changchun Cao *Department of Rehabilitation Medicine, The First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, China.
Jie JiaDepartment of Rehabilitation Medicine, The First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The triglyceride glucose-body mass index (TyG-BMI) has recently garnered attention as a robust surrogate indicator for insulin resistance (IR). However, despite this burgeoning interest, the prospective effect of TyG-BMI on adverse clinical outcomes in acute ischemic stroke (AIS) individuals remains incompletely understood. Consequently, this investigation seeks to elucidate the effect of TyG-BMI on 90-day poor outcomes in AIS individuals. Methods: During the period of January 2010 to December 2016, this longitudinal investigation encompassed 1,722 individuals diagnosed with AIS who were treated at Seoul National University Hospital (monocentric) in Korea. Blood samples were collected at admission, and all patients were admitted within 7 days after stroke onset. Binary logistic regression analysis was subsequently utilized to evaluate the effect of TyG-BMI on adverse outcomes observed at 90 days. Potential nonlinear dose-response associations were employed using restricted cubic spline (RCS) models to identify threshold (inflection) effects. Results: The final analysis included a total of 1,722 individuals, with males constituting 61.56% of the cohort. Among these participants, 393 (22.82%) were below the age of 60, 457 (26.54%) were aged between 60 and 70 years, 610 (35.42%) fell within the 70 to 80-year age bracket, and 262 (15. 21%) were over 80 years of age. The median admission NIHSS score was 3 (1-7). In multivariable logistic regression analyses, TyG-BMI failed to exhibit any meaningful linear correlation with 90-day poor outcome in the overall AIS cohort. RCS analyses, however, identified a nonlinear effect of TyG-BMI on 90-day poor outcome. An inflection point in this association was determined at a TyG-BMI value of 193.59. For TyG-BMI values less than or equal to 193.59, a negative effect of TyG-BMI on 90-day poor outcomes (OR = 0.65, 95% CI: 0.48-0.89). In contrast, for TyG-BMI values exceeding this threshold, the effect of TyG-BMI on 90-day unfavorable outcomes was not statistically significant (OR = 1.16, 95% CI: 0.93-1.45, Conclusion: Our findings indicate a nonlinear relationship and threshold effect between the TyG-BMI and 90-day unfavorable outcomes in patients with AIS. Only when TyG-BMI ≤ 193.59, the TyG-BMI suggested a negative association with 90-day unfavorable outcomes.

Indexed as

acute ischemic strokenonlinear relationshiprestricted cubic splinetriglyceride glucose-body mass indexunfavorable outcomes

Identifiers

PMID42293071
PMCPMC13260259

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