Clinical Data for STEMI and Diabetes Patients

Encompassing baseline characteristics for a retrospective cohort of 524 patients with type 2 diabetes mellitus (T2DM) and ST-segment elevation myocardial infarction (STEMI) who underwent primary percutaneous coronary intervention (PPCI). It was created by Jingyan Yang to study predictors of the no-reflow phenomenon, which had an incidence of 8.97% in this population.

Use Cases

• Analyze the relationship between the triglyceride-glucose (TyG) index and the incidence of no-reflow in 524 T2DM-STEMI patients.
• Investigate the neutrophil-to-lymphocyte ratio (NLR) as an independent predictor for post-PPCI no-reflow outcomes.
• Stratify patient risk by combining TyG index and NLR values using the study's optimal cut-offs (NLR 2.831, TyG 9.347).
• Validate the combined predictive model (TyG + NLR) which achieved an AUC of 0.785 for no-reflow prediction.

Strengths

• Dataset is based on a clearly defined cohort of 524 patients with T2DM and STEMI.
• Study reports specific, statistically significant predictors: TyG index (aOR 2.98) and NLR (aOR 1.23).
• Includes a defined outcome measure (no-reflow incidence of 8.97%) and model performance metric (AUC 0.785).

Limitations

• Small dataset size (9.5 KB) suggests limited variables and scope beyond the core study analysis.
• Retrospective study design may introduce selection bias or unmeasured confounding factors.
• Specific column names and sample data are unavailable, limiting understanding of the full data structure.

Provenance

Source

figshare, authored by Jingyan Yang.

Collection Method

Retrospective cohort analysis of patients with T2DM and STEMI undergoing PPCI.

Freshness

Last updated March 20, 2026.