Background: Myocardial infarction with non-obstructive coronary arteries (MINOCA) constitutes a significant subset of acute myocardial infarctions (AMI) with uncertain prognostic markers. Early risk assessment is crucial to identify MINOCA patients at risk of adverse outcomes.

Objectives: This study aimed to evaluate the predictive capacity of the PRECISE-DAPT score in assessing short- and long-term prognoses in MINOCA patients presenting with ST-segment elevation myocardial infarction (STEMI) or non-ST-elevation myocardial infarction (NSTEMI).

Methods: Among 741 MINOCA patients, the PRECISE-DAPT score was computed to analyze its association with in-hospital and follow-up major adverse cardiovascular events (MACE). Parameters showing significance in MACE (+) groups underwent statistical analysis: univariate logistic regression for in-hospital events and univariate Cox regression for follow-up events. For statistical significance, a predefined level of α = 0.05 was adopted. Parameters demonstrating significance proceeded to multiple logistic regression for in-hospital events and multivariate Cox regression for follow-up events.

Results: In-hospital MACE occurred in 4.1% of patients, while 58% experienced follow-up MACE. Hemoglobin levels and the PRECISE-DAPT Score were identified as independent parameters for in-hospital MACE. Furthermore, ejection fraction (EF%) and the PRECISE-DAPT Score emerged as independent predictors of follow-up MACE.

Conclusions: The study revealed that a higher PRECISE-DAPT score was significantly associated with increased risks of both in-hospital and long-term major adverse cardiovascular events in MINOCA patients presenting with acute coronary syndrome (ACS), underscoring the score's potential in risk stratification for this patient cohort.

Background: _ PRECISE-DAPT score predicts MACE risk in MINOCA patients.

Background: _ Hemoglobin level and PRECISE-DAPT score predict in-hospital MACE.

Background: _ Ejection fraction and PRECISE-DAPT score predict long-term MACE.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11185829PMC
http://dx.doi.org/10.36660/abc.20230791DOI Listing

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