Impact of Anemia on the Risk of Bleeding Following Percutaneous Coronary Interventions in Patients ≥75 Years of Age

PRECISE-DAPT, ARC-HBR, or Simplified Clinical Evaluation for the Prediction of Major Bleeding After Percutaneous Coronary Intervention in older Patients

Older patients have been remarkably underrepresented in bleeding risk cohorts. Thus, the PRECISE-DAPT (Derivation and validation of the predicting bleeding complications in patients undergoing stent implantation and subsequent dual antiplatelet therapy) and Academic Research Consortium for High Bleeding Risk (ARC-HBR) scores are not validated in older adults. Therefore, we sought to evaluate the PRECISE-DAPT and ARC-HBR scores in an exclusively older population and assess the prognostic value of a truly simplified clinical evaluation (SCE), consisting of only 3 binary clinical variables (hemoglobin <11 g/100 ml, previous bleeding, and anticipated use of anticoagulants). This is a retrospective analysis of the prospective single-center older-HCD registry. Consecutive patients aged ≥75 years who underwent percutaneous coronary intervention from 2012 to 2019 were included. The primary end point was postdischarge bleeding at 12 months of follow-up, defined according to the Bleeding Academic Research Consortium 3 or 5 criteria. A total of 693 patients with a mean age of 81 (±4.4) years were included in the study and 60 patients (6.8%) met the primary end point. The PRECISE-DAPT and ARC-HBR scores did not significantly predict postdischarge bleeding in the Cox regression models (hazard ratio 1.65 [0.78 to 3.42] and 1.46 [0.72 to 4.24], respectively), whereas the SCE outperformed both scores (hazard ratio 2.47, 1.34 to 4.49). All 3 scores exhibited a moderate discriminatory potential, as determined by a receiver-operating characteristic curve analysis (areas under the curve 0.601, 0.621, and 0.616, respectively), with no significant differences between them. The SCE showed an Integrated Discrimination Improvement of 0.25, p = 0.02 (SCE vs ARC-HBR) and 0.24, p = 0.01 (SCE vs PRECISE-DAPT), with an Net Reclassification Improvement of 6.54%, p = 0.37 and 7.12%, p = 0.43, respectively. In conclusion, the PRECISE-DAPT score and ARC-HBR criteria showed insufficient predictive value in older adults. A truly SCE consisting of 3 easily accessible variables not only provides equal discriminatory potential but also demonstrates superior predictive value, as determined by Cox regression models. This makes it a highly appealing tool for risk stratification, pending its evaluation in larger prospective studies.

Outcomes Prediction in Complex High-Risk Indicated Percutaneous Coronary Interventions in the Older Patients

Complex high-risk indicated percutaneous coronary intervention (CHIP-PCI) is a poorly defined concept, which has not been validated in an older population before. This study aimed to evaluate the predictive value of the CHIP-PCI score in a large cohort of elderly patients and to identify potential further risk factors. This is a pooled analysis of 3 registries that included patients aged ≥75 years who underwent percutaneous coronary intervention from 2012 to 2019: the multicenter prospective EPIC05-Sierra 75 study, the multicenter retrospective PACO-PCI (EPIC-15) registry, and the single-center, prospective Elderly-HCD registry. A total of 2,725 patients with a mean age of 81 ± 4 years were included in the study; 269 patients (10%) met the primary end point of 1-year major adverse cardiac and cerebrovascular events (MACCEs), and 51 patients (2%) had in-hospital MACCEs. Of the 12 investigated original CHIP-PCI score variables, 5 were independent predictors: previous myocardial infarction, left ventricular ejection fraction <30%, chronic kidney disease, left main coronary artery percutaneous coronary intervention, and nonradial access. Furthermore, diabetes mellitus, anemia, and severe calcification showed to be significant predictors of MACCEs. The additional variables improved the discriminatory value of the CHIP-PCI score for 1-year MACCEs (modified CHIP-PCI score: area under the curve [AUC] 0.647 vs original CHIP-PCI score: AUC 0.598, p = 0.02) and in-hospital MACCEs (AUC 0.729 vs 0.657, p = 0.003, respectively). In conclusion, the CHIP-PCI score retains its prognostic value in older patients for in-hospital MACCEs; however, it is of limited value at 1-year follow-up. The modified CHIP-PCI score, including the 5 patient-related and 3 procedure-related factors, significantly improved its discriminatory potential.

β1-blockers in the reduction of bleeding risk in patients prescribed with potent dual antiplatelet therapy after acute coronary syndrome or percutaneous coronary intervention

BACKGROUND

β1-blockers could improve clinical outcomes in patients with coronary artery disease by lowering the heart rate, blood pressure, and myocardial contractility. Moreover, recent studies have suggested that β1-blockers may also have the potential to reduce bleeding risk.

OBJECTIVES

This study aimed to evaluate the association between β1-blockers and bleeding risk in the patients prescribed with potent dual antiplatelet therapy (DAPT) after acute coronary syndrome (ACS) or percutaneous coronary intervention (PCI).

METHODS

Patients with ACS or undergoing PCI treated by DAPT of ticagrelor and aspirin were consecutively recruited. Follow-up for all eligible patients was conducted for 1 year. Major bleeding outcomes were defined as events that were type ≥2 based on the Bleeding Academic Research Consortium (BARC) criteria.

RESULTS

A total of 1,113 eligible ticagrelor-treated patients were recruited. During the 1-year follow-up interval, 142 (12.6%) patients experienced BARC ≥2 bleedings including 23 patients (2.1%) suffering BARC ≥3 bleedings, with the most common site of bleeding located in the gastrointestinal tract. β1-blockers treatment was associated with a lower risk of BARC ≥2 bleedings (11.2% vs. 23.3%, adjusted HR: 0.42, 95% CI: 0.28-0.62, P < 0.01). Moreover, metoprolol (11.1% vs. 23.3%, adjusted HR: 0.56, 95% CI: 0.37-0.83, P < 0.01) and bisoprolol (11.3% vs. 23.3%, adjusted HR: 0.56, 95% CI: 0.33-0.96, P = 0.04) had similar effects on the reduction of bleeding risk.

CONCLUSION

β1-blockers might be beneficial for the reduction of bleeding risk in potent dual antiplatelet therapy patients with ACS or undergoing PCI.

Antithrombotic therapy and bleeding risk in the era of aggressive lipid-lowering: current evidence, clinical implications, and future perspectives

ABSTRACT

The clinical efficacy of proprotein convertase subtilisin/kexin type 9 inhibitors (PCSK9i) in reducing major cardiovascular adverse events related to atherosclerotic cardiovascular disease (ASCVD) has been well established in recent large randomized outcome trials. Although the cardiovascular and all-cause mortality benefit of PCSK9i remains inconclusive, current cholesterol management guidelines have been modified toward more aggressive goals for lowering low-density lipoprotein cholesterol (LDL-C). Consequently, the emerging concept of "the lower the better" has become the paradigm of ASCVD prevention. However, there is evidence from observational studies of a U-shaped association between baseline LDL-C levels and all-cause mortality in population-based cohorts. Among East Asian populations, low LDL-C was associated with an increased risk for hemorrhagic stroke in patients not on antithrombotic therapy. Accumulating evidence showed that low LDL-C was associated with an enhanced bleeding risk in patients on dual antiplatelet therapy following percutaneous coronary intervention. Additionally, low LDL-C was associated with a higher risk for incident atrial fibrillation and thereby, a possible increase in the risk for intracranial hemorrhage after initiation of anticoagulation therapy. The mechanism of low-LDL-C-related bleeding risk has not been fully elucidated. This review summarizes recent evidence of low-LDL-C-related bleeding risk in patients on antithrombotic therapy and discusses potential measures for reducing this risk, underscoring the importance of carefully weighing the pros and cons of aggressive LDL-C lowering in patients on antithrombotic therapy.

In-hospital major bleeding in patients with acute coronary syndrome medically treated with dual anti-platelet therapy: Associated factors and impact on mortality

Objective

Major bleeding is associated with poor hospital prognosis in patients with acute coronary syndrome (ACS). Despite its clinical importance, there are limited studies on the incidence and risk factors for major bleeding in ACS patients with dual anti-platelet therapy (DAPT) without access to revascularization.

Methods

We analyzed data from 19,186 patients on DAPT after ACS with no access to revascularization from Clinical Pathway for Acute Coronary Syndrome in China Phase 3 (CPACS-3) cohort, which was conducted from 2011 to 2014. Major bleeding included intracranial hemorrhage, clinically significant bleeding, or bleeding requiring blood transfusion. Factors associated with in-hospital major bleeding were assessed using Poisson regressions with generalized estimating equations to account for the clustering effect.

Results

A total of 75 (0.39%) patients experienced major bleeding during hospitalization. Among subtypes of ACS, 0.65% of patients with STEMI, 0.33% with NSTEMI, and 0.13% with unstable angina had in-hospital major bleeding (p &lt; 0.001). The patients who experienced major bleeding had a longer length of stay (median 12 vs. 9 days, p = 0.011) and a higher all-cause in-hospital death rate (22.7 vs. 3.7%, p &lt; 0.001). Multivariable analysis showed advancing age (RR = 1.52 for every 10 years increase, 95% CI: 1.13, 2.05), impaired renal function (RR = 1.79, 95% CI: 1.10, 2.92), use of fibrinolytic drugs (RR = 2.93, 95% CI: 1.55, 5.56), and severe diseases other than cardiovascular and renal diseases (RR = 5.56, 95% CI: 1.10, 28.07) were associated with increased risk of major bleeding, whereas using renin–angiotensin system inhibitors (RR = 0.54, 95% CI: 0.36, 0.81) was associated with decreased risk of major bleeding. These independent factors together showed good predictive accuracy with an AUC of 0.788 (95% CI: 0.734, 0.841).

Conclusion

Among ACS patients on DAPT, advancing age, impaired renal function, thrombolytic treatment, and severe comorbidities were independently associated with a higher risk of in-hospital major bleeding.

Incidence and Risk Factors for Antiplatelet Therapy-Related Bleeding Complications Among Elderly Patients After Coronary Stenting: A Multicenter Retrospective Observation

Purpose: To determine the incidence and risk factors of bleeding events as well as assess the performance of the PRECISE-DAPT score in elderly patients (≥75 years) who underwent percutaneous coronary intervention (PCI) and one-year dual antiplatelet therapy (DAPT). Methods: A total of 940 patients (≥75 years) who received PCI and one-year DAPT were retrospectively enrolled into the study. The multivariable logistic regression analysis was conducted to identify risk factors of antiplatelet-related bleeding complications. The receiver operating characteristic (ROC) curve analysis and the Delong test were performed to obtain the optimized PRECISE-DAPT score. Results: It was observed that 89 (9.47%) patients suffered bleeding complications, while 37 (3.94%) of them had the Bleeding Academic Research Consortium (BARC, type ≥2) bleeding events. We stratified the PRECISE-DAPT score in tertiles (T1: ≤23; T2:24 to 32; T3: ≥33) and found that BARC ≥ 2 type bleeding occurred more frequently in T3 than in T1 and T2 (8.25 vs. 1.46% vs. 2.40%, p <0.05). The ROC curve analysis revealed that the PRECISE-DAPT score cutoff for BARC ≥2 type bleeding prediction was 33. In comparison with the current recommended cutoff score of 25 (AUC: 0.608, based on ROC analysis), the Delong test indicated significantly improved ability for predicting BARC ≥ 2 type bleeding events using the proposed cutoff value of 33, AUC of 0.676 (p = 0.03), and Brier Score of 0.04. The multivariable logistic regression analysis demonstrated that the PRECISE-DAPT score ≥ 33 [OR: 3.772; 95% CI (1.229, 11.578); p = 0.02] was associated with BARC ≥ 2 type bleeding event, along with a history of hemorrhagic stroke [OR: 6.806; 95% CI (1.465, 31.613); p = 0.014], peptic ulcer [OR: 3.871; 95% CI (1.378, 10.871); p = 0.01], and/or myocardial infarction [MI, OR: 3.081; 95% CI (1.140, 8.326); p = 0.027]. Conclusion: A higher PRECISE-DAPT score of 33 might be a more reasonable cutoff value for predicting BARC ≥2 type bleeding risk in CAD patients (≥75 years). In addition, the history of hemorrhagic stroke, peptic ulcer, and myocardial infarction were identified as the risk factors of BARC ≥2 type bleeding events.