Risk Factors for In-Hospital Death in STEMI Patients After Stenting, 2014-2022

3,916 acute ST-elevation myocardial infarction patients from TEDA International Cardiovascular Hospital were analyzed to identify predictors of in-hospital mortality. The study, authored by Ying Zhou, collected demographic, clinical, procedural, and 48-hour laboratory data, including echocardiography and Holter monitoring. Six independent predictors—BNP, CK-MB, BUN, lactate, Holter mean heart rate, and Holter total atrial beats—were identified, forming a model with a mean AUC of 0.911.

Use Cases

• Build mortality risk prediction models based on identified clinical and laboratory predictors.
• Analyze the relationship between Holter monitoring parameters and in-hospital outcomes.
• Validate predictive model stability using bootstrap and cross-validation techniques described.
• Study the clinical utility of combining biochemical markers and cardiac monitoring data.

Strengths

• Dataset includes 80 clinical parameters from 3,916 patients, providing a multi-faceted view.
• Model performance is validated with 25 cross-validations and bootstrap internal validation.
• Data spans a 8-year period (2014-2022) from a single specialized cardiovascular hospital.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count for the underlying data table is unknown, which may limit suitability assessment.
• Data may reflect geographic and institutional bias inherent to a single hospital cohort.

Provenance

Source

TEDA International Cardiovascular Hospital

Collection Method

Retrospective study analyzing patient records.

Time Range

2014-2022

Freshness

Last updated 2026-05-19 05:40:02; freshness should be verified.