New genetic variants associated with major adverse cardiovascular events in patients with acute coronary syndromes and treated with clopidogrel and aspirin.
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SUBMITTER: Liu X
PROVIDER: S-EPMC8602039 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:BackgroundSeveral clinical trials reported that clopidogrel was superior to aspirin in secondary stroke prevention by reducing the risk of major adverse cardiovascular events (MACE). We aimed to compare the efficacy of clopidogrel with aspirin in reducing one-year risk of MACE based on real-world evidence from Taiwan Health Insurance Database.MethodsWe identified ischemic stroke patients between 2000 and 2012 who took aspirin or clopidogrel within 7 days of stroke onset for 1-year follow-up. The primary outcome was one-year MACE including recurrent stroke, acute myocardial infarction, and death. Propensity score matching and conditional Cox proportional hazards regression were conducted to control the confounding factors.ResultsFrom 9,089 ischemic stroke patients, we found 654 patients on aspirin and 465 patients on clopidogrel who met the selective inclusion criteria. After propensity score matching, 379 patients were selected from each group. The clopidogrel group had a 1.78-fold MACE risk compared with the aspirin group at one-year follow-up (95% CI = 1.41-2.26, p<0.01). The MACE-free rate in the aspirin group was 15.74% higher than in the clopidogrel group at one-year follow-up. Sub-analysis of the three components of MACE showed that clopidogrel conferred higher risk of recurrent stroke (OR 1.43, 95% CI = 1.06-1.92, p 0.02) and acute myocardial infarction (OR 3.72, 95% CI = 1.04-13.3, p 0.04), but no different risk of death than that of aspirin.ConclusionsAmong first-ever ischemic stroke patients, secondary stroke prevention using clopidogrel was associated with higher rates of MACE than aspirin. Aspirin might have better efficacy in secondary stroke prevention and was associated with lower risk of MACE. The real-world evidence raises the need to re-assess the current therapeutic options in secondary stroke prevention applying aspirin vs. clopidogrel.
| S-EPMC6715172 | biostudies-literature
Project description:ImportanceGuidelines currently recommend ticagrelor over clopidogrel for patients with acute coronary syndrome (ACS) based on randomized clinical trial data in which ticagrelor reduced major adverse coronary events (MACE) vs clopidogrel but increased bleeding and dyspnea.ObjectiveTo compare the risk of MACE with ticagrelor vs clopidogrel in patients with ACS treated with percutaneous coronary intervention (PCI), to compare major bleeding and dyspnea, and to evaluate the association between P2Y12 inhibitor adherence and MACE.Design, setting, and participantsPopulation-based cohort study using data of patients discharged alive after PCI for ACS from the Alberta Provincial Project for Outcome Assessment in Coronary Heart Disease registry from April 1, 2012, to March 31, 2016, with follow-up to 1 year. Analysis began April 2018.ExposuresOutpatient prescription for ticagrelor or clopidogrel within 31 days after PCI. Adherence was defined as a medication refill adherence value of 80% or higher.Main outcomes and measuresMajor adverse coronary events, a composite of all-cause death, hospitalization for ACS, unplanned coronary revascularization, or stent thrombosis within 365 days after index PCI. Secondary outcomes included hospitalization for major bleeding and emergency department visit for dyspnea.ResultsOf 11 185 individuals who underwent PCI, the median (interquartile range) age was 61 (54-71) years, and 2760 (24.7%) were women. Ticagrelor users (4076 [36.4%]) were generally younger and had fewer cardiac and noncardiac comorbidities than clopidogrel users. Ticagrelor was not associated with lower risk of MACE (adjusted hazard ratio [aHR], 0.97; 95% CI, 0.85-1.10); however, it was associated with an increased risk of major bleeding (aHR, 1.51; 95% CI, 1.29-1.78) and dyspnea (aHR, 1.98; 95% CI, 1.47-2.65). A total of 3328 ticagrelor users (81.6%) were adherent during the study vs 5256 of clopidogrel users (73.9%) (P < .001; χ2 = 86.4). In the full cohort, adherence was associated with a lower MACE risk (aHR, 0.79; 95% CI, 0.69-0.90 for adherence of ≥80% vs <80%). Differences in other secondary outcomes were not statistically significant. Sensitivity and subgroup analyses were consistent with primary analyses.Conclusions and relevanceIn this population-based cohort study of patients with ACS who underwent PCI, outpatient use of ticagrelor was not associated with a statistically significant reduction in MACE vs clopidogrel; however, it was associated with more major bleeding and dyspnea.
| S-EPMC6990835 | biostudies-literature
Project description:The evidence of adherence to statin decreasing risk of major adverse cardiovascular events (MACEs) is still lack among patients discharged with acute coronary syndrome (ACS). Our objective is to determine the relationship between six-month adherence to statins and subsequent risk of MACEs in patients discharged with ACS.Using two prospective registry cohorts (CPACS-1 and -2), we analyzed data from 12,516 consecutive patients with ACS who were prescribed statin at hospital discharge and survived beyond 6 months without recurrent myocardial infarction (MI) or stroke. Adherence to statin was defined as good (using statin at discharge and 6 months without declined dosage) and poor adherence groups (using statin at discharge but declining dosage or stopping at 6 months). We compared the hazard ratios of all-cause mortality and MACE in subsequent 6 months between groups, using Cox-regression models, adjusting for multiple potential confounders.Seventy two percent of patients adhered to statin therapy at 6 months. The incident MACE in the poor adherence group was significantly higher than in good adherence group (2.7% vs. 1.8%, p = 0.002). Compared with poor adherence group, the good adherence group showed a 27% lower relative risk of MACE during the 6 month follow up (fully-adjusted hazard ratio (HR) = 0.73; 95%CI: 0.56-0.97). The protective effects of good adherence were similar in groups with different statin dose as well as groups by other baseline clinical characteristics and treatments (p > 0.05 for interaction).Our study highlights the importance of adherence to statin therapy in prevention of MACE and clinicians should aim to achieve higher dosage if tolerable.CPACS2 was registered on URL: http://www.anzctr.org.au/default.aspx and unique identifier is ACTRN12609000491268 . CPACS1 was not a clinical trial and thus not registered.
| S-EPMC5558746 | biostudies-other
Project description:Background The risk for major adverse cardiovascular events (MACE) with targeted therapies for patients with advanced renal cell carcinoma (RCC) in real-world practice remains unclear. Objectives The aim of this study was to compare the risk for MACE associated with targeted cancer therapies with that associated with cytokine treatment in patients with advanced RCC. Methods Using Taiwan’s National Health Insurance Research Database, a retrospective nationwide cohort study was conducted involving patients with advanced RCC who had received targeted therapy (sunitinib, sorafenib, pazopanib, everolimus, or temsirolimus) or cytokine therapy (interleukin-2 or interferon gamma) from 2007 to 2018. Cox proportional hazards models were used to estimate the risk for MACE (a composite of myocardial infarction, ischemic stroke, heart failure, and cardiovascular death) in the cohort using the propensity score method of stabilized inverse probability of treatment weighting. Results In this cohort of 2,785 patients with advanced RCC, 2,257 (81%) and 528 (19%) had received targeted and cytokine therapy, respectively. After stabilized inverse probability of treatment weighting, the incidence rates of MACE were 6.65 and 3.36 per 100 person-years in the targeted and cytokine therapy groups, respectively (HR: 1.80; 95% CI: 1.19-2.74). Baseline history of heart failure (HR: 3.88; 95% CI: 2.25-6.71), atrial fibrillation (HR: 3.60; 95% CI: 2.16-5.99), venous thromboembolism (HR: 2.50; 95% CI: 1.27-4.92), ischemic stroke (HR: 1.88; 95% CI: 1.14-3.11), and age ≥ 65 years (HR: 1.81; 95% CI: 1.27-2.58) were independent risk factors for targeted therapy–associated MACE. Conclusions Among patients with advanced RCC, the risk for MACE associated with targeted cancer therapy is higher than that associated with cytokine therapy. Central Illustration
| S-EPMC9270629 | biostudies-literature
Project description:BackgroundIn 2019, the World Health Organization (WHO) declared coronary artery disease (CAD) as the leading cause of death globally for the last 20 years. Early screening and detection (primary prevention) and intervention (secondary prevention) are necessary to curb CAD and major adverse cardiovascular event (MACE) prevalence. A scoping review to assess the current literature on using cardiac scoring systems to predict CAD and MACE was performed.MethodsThe research question 'What is the literature on using cardiac scoring systems to predict CAD and MACE?' was addressed. The updated Arksey and O'Malley and the Preferred Reporting Items for Systematic reviews and Meta-Analyses Extension for Scoping Reviews methodologies were used. The search terms 'coronary artery disease' and 'cardiac scoring systems' and 'major adverse cardiovascular events' were used in the Boolean search on PubMed, ScienceDirect, MedLine and Cochrane Library.ResultsThe final list consisted of 19 published English results after the year 2000. There were six results without participants (four clinical guidelines, one review article and one ongoing clinical trial). Scoring systems were cardiovascular risk estimation systems focusing on the primary prevention of CAD; MACE was discussed but not scored. There were 13 robust results published from completed multinational clinical trials with participants. These results focused on a scoring system for the secondary prevention of CAD and MACE.ConclusionScoring systems remain an objective method for primary and secondary prevention of CAD and MACE.Contribution: Scoring systems may be helpful with clinical uncertainty or to standardise patient results for comparison in research.
| S-EPMC10476223 | biostudies-literature
Project description:Background & aimsHepatic steatosis has been associated with increased risk of major adverse cardiovascular events (MACE) but it is not clear whether steatosis is independently associated with risk of MACE. We investigated whether steatosis is associated with risk of MACE independently of the presence and extent of baseline coronary artery disease, assessed by comprehensive contrast-enhanced computed tomography angiography (CTA).MethodsWe conducted a nested cohort study of 3756 subjects (mean age, 60.6 years; 48.4% men) who underwent coronary CTA at 193 sites in North America, from July 2010 through September 2013, as part of the PROMISE study, which included noninvasive cardiovascular analyses of symptomatic outpatients without coronary artery disease. Independent core laboratory readers measured hepatic and splenic attenuation, using non-contrast computed tomography images to identify steatosis, and evaluated coronary plaques and stenosis in coronary CTA images. We collected data on participants' cardiovascular risk factors, presence of metabolic syndrome, and body mass index. The primary endpoint was an adjudicated composite of MACE (death, myocardial infarction, or unstable angina) during a median follow-up time of 25 months.ResultsAmong the 959 subjects who had steatosis (25.5% of the cohort), 42 had MACE (4.4%), whereas among the 2797 subjects without steatosis, 73 had MACE (2.6%) (hazard ratio [HR] for MACE in subjects with steatosis, 1.69; 95% CI, 1.16-2.48; P = .006 for MACE in subjects with vs without steatosis). This association remained after adjustment for atherosclerotic cardiovascular disease risk scores, significant stenosis, and metabolic syndrome (adjusted HR, 1.72; 95% CI, 1.16-2.54; P = .007) or obesity (adjusted HR, 1.75; 95% CI, 1.19-2.59; P = .005). Steatosis remained independently associated with MACE after adjustment for all CTA measures of plaques and stenosis.ConclusionsHepatic steatosis is associated with MACE independently of other cardiovascular risk factors or extent of coronary artery disease. Strategies to reduce steatosis might reduce risk of MACE. ClinicalTrials.gov no: NCT01174550.
| S-EPMC7855524 | biostudies-literature
Project description:BackgroundThis study aimed to establish the factors influencing the clinical benefits of ticagrelor and clopidogrel for acute coronary syndrome (ACS) patients undergoing percutaneous coronary intervention (PCI) surgery.MethodsA multicenter, retrospective, real-world study was conducted on patients with ACS whose data were sourced from 3 databases, namely the BRIC-ACS(I) study, COSTIC study, and 301 Hospital PCI patient database from January 2014 to October 2017. The primary endpoint was net adverse clinical and cerebral events (NACCE).ResultsA total of 7,236 ACS patients were included, of which 4,444 patients (61.4%) and 2,792 patients (38.6%) were in the clopidogrel dual antiplatelet therapy (DAPT) group and ticagrelor DAPT group, respectively. The hazard ratio (HR) for NACCE was significantly higher in patients aged ≥65 years than those aged ≤65 years in the clopidogrel DAPT group (HR: 2.15, 95% CI: 1.68-2.76) and ticagrelor DAPT group (HR: 1.75, 95% CI: 1.34-2.29). In patients treated with clopidogrel DAPT, patients with unstable angina had a significantly lower HR for NACCE than patients with ST-elevation myocardial infarction. Use of beta blockers (HR: 0.77, 95% CI: 0.60-0.99) was an influencing factor in patients treated with clopidogrel DAPT, whereas in patients treated with ticagrelor DAPT, only smoking status (HR: 0.75, 95% CI: 0.57-0.99) was a significant influencing factor.ConclusionsAge, hypertension status, and presence or absence of unstable angina were factors influencing the composite outcome of NACCE. The selection of patients to be treated with either clopidogrel DAPT or ticagrelor DAPT depending on the presence or absence of factors influencing treatment outcome may improve therapeutic management.
| S-EPMC8848390 | biostudies-literature
Project description: Not available
| S-EPMC10978139 | biostudies-literature
Project description:BackgroundCoronary artery bypass grafting using radial artery grafts (RA-CABG) has improved long-term outcomes. However, major adverse cardiovascular events (MACE-4, including all-cause death, myocardial infarction, stroke, and repeat revascularization) after RA-CABG still occur and the predictors remain uncertain. This study aimed to detect independent risk factors of MACE-4 after RA-CABG.MethodsThis is a retrospective case-control study (NCT04935086) conducted among patients who underwent primary isolated RA-CABG between 2009 and 2019 in our center. Baseline characteristics, procedure characteristics, and medication use were compared to identify the independent predictors of MACE-4, all-cause death, and myocardial infarction (MI) with univariate and then multivariate logistic regression.ResultsA total of 370 patients were analyzed using a mean follow-up duration of 48.8 ± 41.0 months. MACE-4, all-cause death, and MI occurred in 102 (27.6%), 27 (7.3%), and 66 patients (17.8%), respectively. Multivariate analysis revealed prior MI (OR = 2.12, 95%CI 1.05-4.25, P = 0.04) and RA to the left anterior descending artery (LAD) (non-left internal mammary artery to LAD) (OR = 4.87, 95%CI 1.41-16.82, P = 0.01) as independent predictors of MACE-4 after surgery. Female (OR = 4.53, 95%CI 1.06-19.41, P = 0.04), left ventricular ejection fraction (LVEF) <40% (OR = 21.00, 95%CI 1.20-368.35, P = 0.04), and RA to LAD (OR = 8.55, 95%CI 1.35-54.10, P = 0.02) were independent predictors of all-cause death. Prior MI (OR = 3.11, 95%CI 1.40-6.94, P = 0.006) emerged as an independent predictor of MI.ConclusionOur data suggested that prior MI and RA to LAD were independent predictors of MACE-4 after RA-CABG. Being female, having an LVEF < 40% and RA to LAD indicated death. Prior MI indicated new MI.
| S-EPMC10565515 | biostudies-literature
Project description:BackgroundAcute coronary syndrome is the topmost cause of death worldwide; therefore, it is necessary to predict major adverse cardiovascular events and cardiovascular deaths in patients with acute coronary syndrome to make correct and timely clinical decisions.ObjectiveThe current review aimed to highlight algorithms and important predictor variables through examining those studies which used machine learning algorithms for predicting major adverse cardiovascular events in patients with acute coronary syndrome.MethodsTo predict major adverse cardiovascular events in patients with acute coronary syndrome, the preferred reporting items for scoping reviews guidelines were used. In doing so, PubMed, Embase, Web of Science, Scopus, Springer, and IEEE Xplore databases were searched for articles published between 2005 and 2021. The checklist "Quality assessment of machine learning studies" was used to assess the quality of eligible studies. The findings of the studies are presented in the form of a narrative synthesis of evidence.ResultsIn total, among 2,558 retrieved articles, 22 studies were qualified for analysis. Major adverse cardiovascular events and mortality were predicted in 5 and 17 studies, respectively. According to the results, 14 (63.64%) studies did not perform external validation and only used registry data. The algorithms used in this study comprised, inter alia, Regression Logistic, Random Forest, Boosting Ensemble, Non-Boosting Ensemble, Decision Trees, and Naive Bayes. Multiple studies (N = 20) achieved a high area under the ROC curve between 0.8 and 0.99 in predicting mortality and major adverse cardiovascular events. The predictor variables used in these studies were divided into demographic, clinical, and therapeutic features. However, no study reported the integration of machine learning model into clinical practice.ConclusionMachine learning algorithms rendered acceptable results to predict major adverse cardiovascular events and mortality outcomes in patients with acute coronary syndrome. However, these approaches have never been integrated into clinical practice. Further research is required to develop feasible and effective machine learning prediction models to measure their potentially important implications for optimizing the quality of care in patients with acute coronary syndrome.
| S-EPMC9329142 | biostudies-literature