Current Use and Trends in Unprotected Left Main Coronary Artery Percutaneous Intervention

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.

Temporal Trends in Complex Percutaneous Coronary Interventions

Background

Accumulated experience combined with technological advancements in percutaneous coronary interventions (PCI) over the past four decades, has led to a gradual increase in PCI utilization and complexity. We aimed to investigate the temporal trends in PCI complexity and the outcomes of complex PCI (C-PCI) in our institution.

Methods

We analyzed 20,301 consecutive PCI procedures performed over a 12-year period. C-PCI was defined as a procedure involving at least one of the following: Chronic total occlusion (CTO), left main (LM), bifurcation or saphenous vein graft (SVG) PCI. Four periods of 3-year time intervals were defined (2008–10, 2011–2013, 2014–2016, 2017–2019), and temporal trends in the rate and outcomes of C-PCI within these intervals were studied. Endpoints included mortality and major adverse cardiac events [MACE: death, acute myocardial infarction (MI), and target vessel revascularization (TVR)] at 1 year.

Results

A total of 5,647 (27.8%) C-PCI procedures were performed. The rate of C-PCI has risen significantly since 2,017 (31.2%, p < 0.01), driven mainly by bifurcation and LM interventions (p < 0.01). At 1-year, rates of death, acute MI, TVR and MACE, were all significantly higher in the C-PCI group (8.8 vs. 5.1%, 5.6 vs. 4.5%, 5.5 vs. 4.0%, 17.2 vs. 12.2%, p < 0.001 for all, respectively), as compared to the non-complex group. C-PCI preformed in the latter half of the study period (2014–2019) were associated with improved 1-year TVR (4.4% and 4.8% vs. 6.7% and 7.1%, p = 0.01, respectively) and MACE (13.8% and 13.5% vs. 17.3% and 18.2%, p = 0.001, respectively) rates compared to the earlier period (2007–2013). Death rate had not significantly declined with time.

Conclusion

In the current cohort, we have detected a temporal increase in PCI complexity coupled with improved 1-year clinical outcomes in C-PCI.

Prior percutaneous coronary intervention and outcomes in patients after coronary artery bypass grafting: a meta-analysis of 308,284 patients

Background:

The association between prior percutaneous coronary intervention (PCI) and prognosis after coronary artery bypass grafting (CABG) remains uncertain. We aimed to evaluate the aforementioned association in a meta-analysis.

Methods:

PubMed, Cochrane’s Library, and Embase databases were searched for potential studies. A random-effects model was used for the meta-analysis. Meta-regression was performed to evaluate the influence of study characteristics on the outcomes.

Results:

Thirty-six follow-up studies with 308,284 patients were included, and 40,892 (13.3%) patients had prior PCI. Pooled results showed that prior PCI was associated with higher risks of early (in-hospital or within 1 month) all-cause mortality [odds ratio (OR): 1.26, 95% confidence interval (CI): 1.11–1.44, p = 0.003; I² = 64%] and major adverse cardiovascular events (MACEs; OR: 1.36, 95% CI: 1.12–1.66, p = 0.002, I² = 79%), but not with late (follow-up durations from 1 to 13 years) mortality (OR: 1.03, 95% CI: 0.95–1.13, p = 0.44, I² = 46%) or MACEs (OR: 1.03, 95% CI: 0.97–1.09, p = 0.38, I² = 0%). Meta-regression showed that the study characteristics of patient number, age, sex, diabetic status, and proportion of patients with prior PCI did not affect the outcomes. Sensitivity analyses limited to multivariate studies excluding patients with acute PCI failure showed similar results (early mortality, OR: 1.25, p = 0.003; early MACE, OR: 1.50, p = 0.001; late mortality, OR: 1.03, p = 0.70).

Conclusion:

The current evidence, mostly from retrospective observational studies, suggests that prior PCI is related to poor early clinical outcomes, but not to late clinical outcomes, after CABG.

Serum amyloid A1 can be a novel biomarker for evaluating the presence and severity of acute coronary syndrome

BACKGROUND

Serum amyloid A (SAA) is an acute phase protein and a novel inflammatory biomarker of cardiovascular diseases. Of the four subtypes, SAA1 is the most representative biomarker. In this study, we aimed to assess the value of SAA1 as a novel biomarker for evaluating the presence and severity of acute coronary syndrome (ACS) in Chinese patients.

METHODS AND RESULTS

A total of 140 ACS patients and 88 non-ACS patients (including 36 stable coronary artery disease (SCAD) patients and 52 healthy controls) who underwent coronary angiography were enrolled. The SAA1 level was significantly higher in ACS patients compared with the SCAD and healthy control subgroups (P < 0.001, respectively), and was significantly higher in the high SYNTAX Score II (SS II) group compared with the medium SS II group and low SS II group (P < 0.001, respectively) in ACS patients. The cutoff level of SAA1 for indicating the presence of ACS was 324.65 ng/mL (sensitivity of 77.9%, specificity of 60.2% and an area under the curve of 0.717). The increased SAA1 levels were positively associated with the presence (OR = 1.013, P < 0.001) and severity (OR = 1.023, P < 0.001) of ACS. Furthermore, there was a positive correlation between SAA1 levels and SS II (r = 0.467, P < 0.001).

CONCLUSIONS

Our results suggest that elevated SAA1 levels may be a novel biomarker for evaluating the presence of ACS and the severity of CAD in ACS patients. Measuring SAA1 levels makes it possible to evaluate the presence of ACS and severity of CAD in ACS patients.

Three-year clinical outcome of unprotected left main coronary artery disease patients complicated with chronic kidney disease treated by coronary artery bypass graft versus percutaneous coronary intervention

BACKGROUND

This study aimed to compare the incidence of major adverse cardiac and cerebrovascular events (MACCE) after coronary artery bypass graft (CABG) or after percutaneous coronary intervention (PCI) with drug-eluting stent (DES) in unprotected left main coronary artery disease (ULMCAD) patients complicated with chronic kidney disease (CKD).

METHODS

Three hundred sixty-eight ULMCAD patients complicated with CKD who underwent first ever CABG (n = 207) or PCI with DES (n = 161) were recruited in this prospective cohort study. Patients were followed up to MACCE occurrence or 36 months after operations, and accumulating MACCE occurrence was calculated.

RESULTS

Accumulating MACCE occurrence was decreased in CABG group compared with PCI group (P = 0.007). Subgroup analysis showed that CKD stage positively correlated with accumulating MACCE occurrence in total patients (P = 0.006) and in PCI-treated patients (P = 0.018), but not in CABG-treated patients (P = 0.217). Further univariate Cox's regression model displayed that CABG (versus (vs.) PCI) (P = 0.008) was associated with lower accumulating MACCE occurrence, while age (≥ 65 years) (P = 0.048), hyperlipidemia (P = 0.013), diabetes (P = 0.012), previous heart failure (P = 0.011), previous stroke (P = 0.030), LVEF < 50% (P = 0.048), higher CKD stage (P = 0.002), and more diseased vessels (P = 0.022) were associated with increased accumulating MACCE occurrence. Forward stepwise multivariate Cox's regression model disclosed that CABG (vs. PCI) (P = 0.002) independently predicted decreased accumulating MACCE occurrence, whereas hyperlipidemia (P = 0.033), diabetes (P = 0.002), higher CKD stage (P = 0.001), and more diseased vessels (P = 0.009) independently predicted elevated accumulating MACCE occurrence.

CONCLUSION

CABG could be considered as the preferred treatment strategy compared with PCI with DES in ULMCAD patients complicated with CKD.