Key result
A combined prediction model incorporating BNP, CK-MB, BUN, lactate, Holter mean heart rate, and Holter total atrial beats effectively predicted in-hospital all-cause mortality in STEMI patients with an AUC of 0.911.
Why the study?
In-hospital mortality for acute STEMI patients remains high, prompting the development of an early prediction model for in-hospital all-cause death after primary coronary artery stenting.
Can a prediction model combining BNP, CK-MB, BUN, LAC, Holter MHR, and Holter TAB predict in-hospital all-cause death in STEMI patients undergoing primary coronary stenting?
Population
3,916 STEMI patients undergoing primary coronary stenting within 24 h of symptom onset
Comparison
Survivors vs non-survivors
Design
Retrospective cohort study
Authors
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May aid risk stratification in STEMI; leaves open external validation and outcome impact before clinical use.
Observational (n=3,916)
No
Can a prediction model combining BNP, CK-MB, BUN, LAC, Holter MHR, and Holter TAB predict in-hospital all-cause death in STEMI patients undergoing primary coronary stenting?
Effect estimate: AUC 0.911 (95% CI 0.863-0.959)
A novel prediction model incorporating laboratory and Holter monitoring parameters can reliably predict in-hospital mortality risk in STEMI patients after primary stenting.
Zhou et al. (2026) conducted an observational in Acute ST-elevation myocardial infarction (STEMI) (n=3,916). Combined prediction model (BNP, CK-MB, BUN, LAC, Holter MHR, and Holter TAB) vs. Individual predictors was evaluated on In-hospital all-cause mortality (AUC 0.911, 95% CI 0.863-0.959). A combined prediction model incorporating BNP, CK-MB, BUN, lactate, Holter mean heart rate, and Holter total atrial beats effectively predicted in-hospital all-cause mortality in STEMI patients with an AUC of 0.911.
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