Sirolimus-eluting stent is superior to paclitaxel-eluting stent for coronary intervention in patients with renal insufficiency: Long-term clinical outcomes

Background: Renal insufficiency (RI) is an independent risk factor for the adverse cardiovascular events. Long-term clinical outcome of percutaneous coronary intervention (PCI) in patients with RI is unknown especially in the era of first generation drug-eluting stents (DES). This study aims at comparing clinical outcomes between sirolimus-eluting stents (SES) and paclitaxel-eluting stents (PES) based on large scaled registry.Methods: Patients who underwent PCI with DES from January 2004 to December 2009 in the Catholic University of Korea-PCI (COACT) registry were prospectively enrolled. A group of 1,033 patients with RI, defined as estimated glomerular filtration rate under 60 mL/min, were analyzed. Major adverse cardiac events (MACE), including all-cause death, non-fatal myocardial infarction (MI), target lesion revascularization (TLR), and target vessel revascularization (TVR) according to the type of stents were compared.Results: Median follow-up period was 810 days (interquartile range: from 361 to 1,354 days). A group of 612 (59.2%) patients were treated with SES and 421 (40.8%) patients were treated with PES. The PES vs. SES group had significantly higher rate of MACE (35.9% vs. 28.3%, p = 0.01). In multivariate Cox hazard regression analysis, PES vs. SES group had significantly higher rate of MACE (adjusted hazard ratio [AHR] 1.29, 95% confidence interval [CI] 1.02–1.64, p = 0.033), particularly pronounced by all-cause death (AHR 1.34, 95% CI 1.008–1.770; p = 0.044). In further analysis with propensity score matching, overall findings were consistent.Conclusions: In patients with RI, PCI using PES provides poorer clinical outcomes than SES in terms of MACE and all-cause death

Anatomical and Physiological Changes after Paclitaxel-Coated Balloon for Atherosclerotic De Novo Coronary Lesions: Serial IVUS-VH and FFR Study.

To assess the serial changes of de novo coronary lesions treated with paclitaxel-coated balloon (PCB) using intravascular ultrasound virtual histology (IVUS-VH) and fractional flow reserve (FFR).This prospective observational study enrolled 27 patients with coronary artery disease treated with PCB who underwent coronary angiography, IVUS-VH and FFR before, immediately after intervention and at 9 months. 28 de novo lesions were successfully treated with PCB. Angiographic late luminal loss was 0.02 ± 0.27 mm. Mean vessel and lumen areas showed increase at 9 months (12.0 ± 3.5 mm(2) to 13.2 ± 3.9 mm(2), p <0.001; and 5.4 ± 1.2 mm(2) to 6.5 ± 1.8 mm(2), p <0.001, respectively). Although mean plaque area was unchanged (6.6 ± 2.6 mm2 to 6.6 ± 2.4 mm(2), p = 0.269), percent atheroma volume decreased significantly (53.4 ± 7.9% to 49.5 ± 6.4%, p = 0.002). The proportion of plaque compositions including fibrous, fibrofatty, dense calcium and necrotic core by IVUS-VH was unchanged at 9 months. The FFR of the treated lesion was 0.71 ± 0.13 pre-procedure, 0.87 ± 0.06 post-procedure and 0.84 ± 0.06 at follow-up.De novo coronary lesions treated with PCB showed persistent anatomical and physiological patency with plaque redistribution and vessel remodeling without chronic elastic recoil or plaque compositional change during follow-up

Prediction of the 10-year risk of atherosclerotic cardiovascular disease in the Korean population

OBJECTIVES Proper risk assessment is important for the primary prevention of atherosclerotic cardiovascular disease (ASCVD). However, no validated risk prediction tools are currently in use in Korea. This study sought to develop a 10-year risk prediction model for incident ASCVD. METHODS Using the National Sample Cohort of Korea, 325,934 subjects aged 20-80 years without previous ASCVD were enrolled. ASCVD was defined as a composite of cardiovascular death, myocardial infarction, and stroke. The Korean atherosclerotic cardiovas cular disease risk prediction (K-CVD) model was developed separately for men and women using the development dataset and validated in the validation dataset. Furthermore, the model performance was compared with the Framingham risk score (FRS) and pooled cohort equation (PCE). RESULTS Over 10 years of follow-up, 4,367 ASCVD events occurred in the overall population. The predictors of ASCVD included in the model were age, smoking status, diabetes, systolic blood pressure, lipid profiles, urine protein, and lipid-lowering and blood pressure-lowering treatment. The K-CVD model had good discrimination and strong calibration in the validation dataset (time-dependent area under the curve=0.846; 95% confidence interval, 0.828 to 0.864; calibration χ2=4.73, goodness-of-fit p=0.32). Compared with our model, both FRS and PCE showed worse calibration, overestimating ASCVD risk in the Korean population. CONCLUSIONS Through a nationwide cohort, we developed a model for 10-year ASCVD risk prediction in a contemporary Korean population. The K-CVD model showed excellent discrimination and calibration in Koreans. This population-based risk prediction tool would help to appropriately identify high-risk individuals and provide preventive interventions in the Korean population

Combined Usefulness of the Platelet-to-Lymphocyte Ratio and the Neutrophil-to-Lymphocyte Ratio in Predicting the Long-Term Adverse Events in Patients Who Have Undergone Percutaneous Coronary Intervention with a Drug-Eluting Stent

<div><p>Objectives</p><p>The aim of this study was to investigate the combined usefulness of platelet-to-lymphocyte ratio (PLR) and neutrophil-to-lymphocyte ratio (NLR) in predicting the long-term adverse events in patients who have undergone percutaneous coronary intervention (PCI) with a drug-eluting stent (DES).</p><p>Methods</p><p>798 patients with stable angina, unstable angina and non-ST elevated myocardial infarction (NSTEMI) who underwent elective successful PCI with DES were consecutively enrolled. The value of PLR and NLR in predicting adverse coronary artery disease (CAD) events and the correlations between these markers and adverse events (all-cause mortality, cardiac death, and nonfatal myocardial infarction) were analyzed.</p><p>Results</p><p>The follow-up period was 62.8 ± 28.8 months. When patients were classified into four groups according to the optimal cut-off values for the PLR and NLR on receiver operating characteristic analysis, patients with a high PLR (>128) and high NLR (>2.6) had the highest occurrence of adverse events among the groups. On Cox multivariate analysis, the NLR >2.6 [hazard ratio (HR) 2.352, 95% confidence interval (CI) 1.286 to 4.339, p = 0.006] and the PLR >128 (HR 2.372, 95% CI 1.305 to 3.191, p = 0.005) were independent predictors of long-term adverse events after adjusting for cardiovascular risk factors. Moreover, both a PLR >128 and a NLR >2.6 were the strongest predictors of adverse events (HR 2.686, 95% CI 1.452 to 4.970, p = 0.002).</p><p>Conclusion</p><p>High pre-intervention PLR and NLR, especially when combined, are independent predictors of long-term adverse clinical outcomes such as all-cause mortality, cardiac death, and myocardial infarction in patients with unstable angina and NSTEMI who have undergone successful PCI with DES.</p></div

Angiographic characteristics of the study population according to neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR)

<p>Data is presented as mean ± SD or number (percentage)</p><p>NLR neutrophil to lymphocyte ratio, PLR platelet to lymphocyte ratio, PCI percutaneous coronary intervention, CAD coronary artery disease, NSTEMI non ST-segment elevation myocardial infarction, DES drug eluting stent</p><p>Angiographic characteristics of the study population according to neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR)</p

The Kaplan–Meier analysis shows the cumulative event-free composite rate of death and nonfatal myocardial infarction (MI) according to the optimal cut-off value of a PLR of 128 (A) and a NLR of 2.6 (B).

<p>Patients with a high PLR and NLR(C) showed the lowest long-term survival and clinical outcomes compared to the other groups. NLR; neutrophil-to-lymphocyte ratio, PLR; platelet-to-lymphocyte ratio.</p

Serial changes of plaque phenotypes.

<p>TCFA = thin-cap fibroatheroma, ThCFA = thick-cap fibroatheroma, PIT = pathologic intima thickening.</p