The value of PRECISE-DAPT score and lesion complexity for predicting all-cause mortality in patients with NSTEMI
Gökhan Alıcı1, Ömer Genç2, Örsan Deniz Urgun3
1Department of Cardiology, Adana City Training and Research Hospital, Dr. Mithat Özsan Boulevard, 4522, Yuregir, Adana, Turkey. gokhan_alici1@hotmail.com.
Background:
We aimed to evaluate the prognostic effects of stroke risk scores (SRS), SYNTAX score (SX score), and PRECISE-DAPT score on mortality in patients with non-ST-segment elevation myocardial infarction (NSTEMI). Three hundred forty-three patients hospitalized with a diagnosis of NSTEMI and underwent coronary angiography (CAG) between January 1, 2022, and June 1, 2022, were included retrospectively in this single-center study. Patients' demographic, clinical and routine biochemical parameters were recorded. The scores (CHADS2, CHA2DS2-VASc, R2CHA2DS2-VASc, ATRIA, SX score, PRECISE-DAPT) of each patient were calculated. Participants were then divided into two groups by in-hospital status; all-cause mortality (+) and all-cause mortality (-).
Results:
Overall, the mean age was 63.5 ± 11.8 years, of whom 63.3% (n = 217) were male. In-hospital mortality occurred in 31 (9.3%) patients. In the study population, those who died had significantly higher SX (p < 0.001), PRECISE-DAPT (p < 0.001), and ATRIA (p = 0.002) scores than those who survived. In logistic regression analysis, PRECISE-DAPT score [Odds ratio (OR) = 1.063, 95% CI 1.014-1.115; p = 0.012] and SX score [OR: 1.061, 95% CI 1.015-1.109, p = 0.009] were found to be independent predictors of in-hospital all-cause mortality among NSTEMI patients. In ROC analysis, the PRECISE-DAPT score performed better discriminative ability than the SX score in determining in-hospital mortality [Area under the curve = 0.706, 95% CI 0.597-0.814; p < 0.001].
Conclusions:
During the hospital stay, both PRECISE-DAPT and SX scores showed better performance than SRS in predicting all-cause mortality among NSTEMI patients undergoing CAG. Aside from their primary purpose, both scores might be useful in determining risk stratification for such patient populations.
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