Association between triglyceride glucose-body mass index and outcomes in patients with acute ischemic stroke: a retrospective secondary analysis of a prospective Korean cohort - Report - MDSpire
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Association between triglyceride glucose-body mass index and outcomes in patients with acute ischemic stroke: a retrospective secondary analysis of a prospective Korean cohort
Clinical Report: Link Between Triglyceride Glucose-Body Mass Index and Clinical Outcomes in Acute Ischemic Stroke Patients
Overview
This study investigates the relationship between triglyceride glucose-body mass index (TyG-BMI) and 90-day clinical outcomes in patients with acute ischemic stroke (AIS). A nonlinear association was identified, with a significant threshold effect at a TyG-BMI value of 193.59.
Background
Acute ischemic stroke (AIS) is a leading cause of mortality and long-term disability globally. Identifying reliable prognostic markers is essential for risk stratification and treatment planning in AIS patients. The triglyceride glucose-body mass index (TyG-BMI) has emerged as a potential indicator of insulin resistance, which may influence stroke outcomes.
Data Highlights
Parameter
Value
Total Participants
1,722
Male Percentage
61.56%
Age < 60
22.82%
Age 60-70
26.54%
Age 70-80
35.42%
Age > 80
15.21%
Median NIHSS Score
3 (1-7)
Key Findings
TyG-BMI did not show a meaningful linear correlation with 90-day poor outcomes in the overall AIS cohort.
A nonlinear effect of TyG-BMI on 90-day poor outcomes was identified.
An inflection point for TyG-BMI was found at 193.59.
For TyG-BMI values ≤ 193.59, there was a negative association with 90-day unfavorable outcomes (OR = 0.65).
For TyG-BMI values > 193.59, the association with 90-day unfavorable outcomes was not statistically significant (OR = 1.16).
Clinical Implications
The findings suggest that TyG-BMI may serve as a prognostic marker for poor outcomes in AIS patients, particularly below the identified threshold. Clinicians should consider TyG-BMI values when assessing risk in AIS patients.
Conclusion
This study highlights a nonlinear relationship between TyG-BMI and clinical outcomes in AIS, emphasizing the importance of considering threshold effects in prognostic evaluations.
