Prognostic value of CHA2DS2-VASc score in predicting high SYNTAX score and in-hospital mortality for non-ST elevation myocardial infarction in patients without atrial fibrillation

Predictive value of CHA2 DS2 -VASc score for in-hospital prognosis of patients with acute ST-segment elevation myocardial infarction undergoing primary PCI

BACKGROUND

This study aimed to explore the predictive value of CHA2 DS2 -VASc score for in-hospital major adverse cardiac events (MACEs) in ST-elevation myocardial infarction (STEMI) patients undergoing primary percutaneous coronary artery intervention.

METHODS

A total of 746 STEMI patients were divided into four groups according to CHA2 DS2 -VASc score (1, 2-3, 4-5, >5). The predictive ability of the CHA2 DS2 -VASc score for in-hospital MACE was made. Subgroup analysis was made between gender differences.

RESULTS

In a multivariate logistic regression analysis model including creatinine, total cholesterol, and left ventricular ejection fraction, CHA2 DS2 -VASc score was an independent predictor of MACE as a continuous variable (adjusted odds ratio: 1.43, 95% confidence interval [CI]: 1.27-1.62, p < .001). As a category variable, using the lowest CHA2 DS2 -VASc score of 1 as a reference, CHA2 DS2 -VASc score 2-3, 4-5, >5 groups for predicting MACE was 4.62 (95% CI: 1.94-11.00, p = .001), 7.74 (95% CI: 3.18-18.89, p < .001), and 11.71 (95% CI: 4.14-33.15, p < .001). The CHA2 DS2 -VASc score was also an independent risk factor for MACE in the male group, either as a continuous variable or category variable. However, CHA2 DS2 -VASc score was not a predictor of MACE in the female group. The area under the curve value of the CHA2 DS2 -VASc score for predicting MACE was 0.661 in total patients (74.1% sensitivity and 50.4% specificity [p < .001]), 0.714 in the male group (69.4% sensitivity and 63.1% specificity [p < .001]), but there was no statistical significance in the female group.

CONCLUSIONS

CHA2 DS2 -VASc score could be considered as a potential predictor of in-hospital MACE with STEMI, especially in males.

Atrial Fibrillation and Chronic Coronary Ischemia: A Challenging Vicious Circle

Atrial fibrillation, the most frequent arrhythmia in clinical practice and chronic coronary syndrome, is one of the forms of coronary ischemia to have a strong dual relationship. Atrial fibrillation may accelerate atherosclerosis and may increase oxygen consumption in the myocardium, creating a mismatch between supply and demand, thus promoting the development or worsening of coronary ischemia. Chronic coronary syndrome alters the structure and function of gap junction proteins, affecting the conduction of action potential and leading to ischemic necrosis of cardiomyocytes and their replacement with fibrous tissue, in this way sustaining the focal ectopic activity in atrial myocardium. They have many risk factors in common, such as hypertension, obesity, type 2 diabetes mellitus, and dyslipidemia. It is vital for the prognosis of patients to break this vicious circle by controlling risk factors, drug therapies, of which antithrombotic therapy may sometimes be challenging in terms of prothrombotic and bleeding risk, and interventional therapies (revascularization and catheter ablation).

The value of PRECISE-DAPT score and lesion complexity for predicting all-cause mortality in patients with NSTEMI

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.

Systemic Immune-Inflammation Index and C-Reactive Protein/Albumin Ratio Could Predict Acute Stent Thrombosis and High SYNTAX Score in Acute Coronary Syndrome

Acute stent thrombosis (AST) is associated with increased morbidity and mortality. The main aim of this study was to evaluate the prognostic value of the systemic immune-inflammation index (SII) and C-reactive protein (CRP) to albumin ratio (CAR) in predicting AST and high SYNTAX score in patients with acute coronary syndrome (ACS) undergoing percutaneous coronary intervention (PCI). The criteria of the Academic Research Consortium were used to determine definite stent thrombosis. A total of 2077 consecutive patients with ACS undergoing PCI were retrospectively enrolled. Platelet, white blood cell and neutrophil counts, as well as SII, CRP, CAR, and peak cardiac troponin I (cTnI) values were significantly higher, whereas the lymphocyte count and albumin values were significantly lower in the AST (+) group compared with the AST (-) group (P < .05). SYNTAX score showed significant positive correlations with SII (r = .429, P < .001) and CRP (r = .402, P < .001). Multivariate logistic regression analysis showed that SII and CAR, as well as age, diabetes mellitus, stent length, and peak cTnI are independent predictors of AST and high SYNTAX score. In conclusion, the SII and CAR are simple, relatively cheap, and reliable inflammatory biomarkers that can predict AST and high SYNTAX scores in ACS.