TyG-BMI and Stroke Outcomes: A Korean Cohort Study from 2010-2016

1,722 acute ischemic stroke patients from a Seoul hospital were analyzed for the relationship between the triglyceride glucose-body mass index (TyG-BMI) and 90-day outcomes. The study identified a nonlinear threshold effect, with a significant negative association for TyG-BMI values ≤193.59. This dataset, authored by Mingxing Lou and shared under CC-BY-4.0, contains the supplementary data for this secondary analysis.

Use Cases

• Investigating nonlinear relationships between composite metabolic indices and clinical outcomes based on TyG-BMI.
• Validating the TyG-BMI as a surrogate for insulin resistance in stroke populations based on the described cohort.
• Developing risk stratification models for 90-day poor outcomes in acute ischemic stroke patients based on admission biomarkers.
• Conducting secondary analyses on threshold effects in clinical data using restricted cubic spline models as described.

Strengths

• Includes data from 1,722 patients, providing a substantial clinical cohort.
• Contains detailed age group breakdowns (e.g., 22.82% under 60, 26.54% aged 60-70).
• Reports a specific, statistically derived inflection point for TyG-BMI at 193.59.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data is from a single center (Seoul National University Hospital), which may limit generalizability.

Provenance

Source

Seoul National University Hospital, Korea.

Collection Method

Retrospective secondary analysis of a prospective cohort; blood samples collected at admission.

Time Range

January 2010 to December 2016.

Freshness

Last updated 2026-05-29 06:07:30; freshness should be verified.

Geography

South Korea (monocentric).