Prognostic value of the SYNTAX score on myocardial injury and salvage in STEMI patients after primary percutaneous coronary intervention: a single-center retrospective observational study

A nomogram model for predicting intramyocardial hemorrhage post-PCI based on SYNTAX score and clinical features

OBJECTIVE

The aim of this study is to develop a nomogram model for predicting the occurrence of intramyocardial hemorrhage (IMH) in patients with Acute Myocardial Infarction (AMI) following Percutaneous Coronary Intervention (PCI). The model is constructed utilizing clinical data and the SYNTAX Score (SS), and its predictive value is thoroughly evaluated.

METHODS

A retrospective study was conducted, including 216 patients with AMI who underwent Cardiac Magnetic Resonance (CMR) within a week post-PCI. Clinical data were collected for all patients, and their SS were calculated based on coronary angiography results. Based on the presence or absence of IMH as indicated by CMR, patients were categorized into two groups: the IMH group (109 patients) and the non-IMH group (107 patients). The patients were randomly divided in a 7:3 ratio into a training set (151 patients) and a validation set (65 patients). A nomogram model was constructed using univariate and multivariate logistic regression analyses. The predictive capability of the model was assessed using Receiver Operating Characteristic (ROC) curve analysis, comparing the predictive value based on the area under the ROC curve (AUC).

RESULTS

In the training set, IMH post-PCI was observed in 78 AMI patients on CMR, while 73 did not show IMH. Variables with a significance level of P < 0.05 were screened using univariate logistic regression analysis. Twelve indicators were selected for multivariate logistic regression analysis: heart rate, diastolic blood pressure, ST segment elevation on electrocardiogram, culprit vessel, symptom onset to reperfusion time, C-reactive protein, aspartate aminotransferase, lactate dehydrogenase, creatine kinase, creatine kinase-MB, high-sensitivity troponin T (HS-TnT), and SYNTAX Score. Based on multivariate logistic regression results, two independent predictive factors were identified: HS-TnT (Odds Ratio [OR] = 1.61, 95% Confidence Interval [CI]: 1.21-2.25, P = 0.003) and SS (OR = 2.54, 95% CI: 1.42-4.90, P = 0.003). Consequently, a nomogram model was constructed based on these findings. The AUC of the nomogram model in the training set was 0.893 (95% CI: 0.840-0.946), and in the validation set, it was 0.910 (95% CI: 0.823-0.970). Good consistency and accuracy of the model were demonstrated by calibration and decision curve analysis.

CONCLUSION

The nomogram model, constructed utilizing HS-TnT and SS, demonstrates accurate predictive capability for the risk of IMH post-PCI in patients with AMI. This model offers significant guidance and theoretical support for the clinical diagnosis and treatment of these patients.

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.

Prediction of microvascular obstruction by coronary artery angiography score after acute ST-segment elevation myocardial infarction: a single-center retrospective observational study

Background

Some coronary artery angiography (CAG) scores are associated with the no-reflow phenomenon after percutaneous coronary intervention (PCI) in patients with acute ST-segment elevation myocardial infarction (STEMI). However, quality evidence regarding the association between the CAG scores and microvascular injury is still needed. Our study aimed to validate the ability of the CAG scores in predicting microvascular obstruction (MVO) detected by cardiac magnetic resonance (CMR) imaging.

Methods

From October 2020 to October 2021, 141 consecutive patients with acute STEMI who underwent primary PCI and CMR were retrospectively reviewed. CMR imaging was performed between 3 and 7 days after PCI. The patients were divided into MVO and non-MVO group based on the CMR results. Three CAG scores (SYNTAX score, SYNTAX II score and Gensini score) were used to assess the severity of coronary artery atherosclerotic burden.

Results

A total of 122 patients were included (mean age 60.6 ± 12.8 years). MVO occurred in 51 patients (41.8%). Patients with MVO had higher SYNTAX scores, SYNTAX II scores and Gensini scores than those without MVO (all p < 0.001). The Gensini score (r = 0.567, p < 0.001) showed the strongest correlation with infarction size than SYNTAX score (r = 0.521, p < 0.001) and SYNTAX II score (r = 0.509, p < 0.001). The areas under the receiver operator characteristic curves of SYNTAX score, SYNTAX II score and Gensini score for predicting MVO patients were 0.726, 0.774 and 0.807. In multivariable regression analysis, peak troponin I (odd ratio [OR] = 1.236, p = 0.001) and SYNTAX II score (OR = 11.636, p = 0.010) were identified as independent predictors of MVO.

Conclusions

In patients with acute STEMI undergoing primary PCI treatment, the peak troponin I and SYNTAX II score may be an independent predictor of MVO.