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Effects of a Secondary Prevention Combination Therapy with beta-Blocker and Statin on Major Adverse Cardiovascular Events in Acute Coronary Syndrome Patients.

ABSTRACT: BACKGROUND The efficacy of a beta-blocker or statin alone versus combination therapy is uncertain. We compared the effects of a combination of beta-blocker and statin with those of one-drug therapies with regard to the occurrence of a major adverse cardiovascular event (MACE) in patients with acute coronary syndrome (ACS). MATERIAL AND METHODS From 2011 to 2013, 636 ACS patients were included. Based on their risk category, enrolled subjects were assigned into 4 groups receiving consistent beta-blocker and/or statin treatment: no therapy group (n=139), with never use or inconsistent use beta-blocker and statin; beta-blocker monotherapy group (n=71); statin monotherapy group (n=149); and cotherapy group (n=277). RESULTS Men composed 66.8% of the cohort, which had a mean age of 60.42±9.83 years. Compared with the no therapy group, the statin monotherapy group and cotherapy group had a lower risk of MACE (statin monotherapy group: adjusted hazard ratio [HR] 0.35, 95% confidence interval [CI] 0.20-0.60, P<.001; cotherapy group: adjusted HR 0.16, 95% CI 0.09-0.28, P<.001). Subgroup analysis indicated that, compared with beta-blocker monotherapy and statin monotherapy, cotherapy significantly reduced the risks of MACE occurrences in ACS patients (beta-blocker monotherapy group: adjusted HR 0.28, 95% CI 0.13-0.59, P=.001; statin monotherapy group: adjusted HR 0.54, 95% CI 0.29-0.98, P=.044). CONCLUSIONS Beta-blocker and statin combination therapy lowered the risk of developing MACE in ACS patients.

SUBMITTER: Zhu L

PROVIDER: S-EPMC7453752 | biostudies-literature | 2020 Aug

REPOSITORIES: biostudies-literature

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Effects of a Secondary Prevention Combination Therapy with beta-Blocker and Statin on Major Adverse Cardiovascular Events in Acute Coronary Syndrome Patients.

Zhu Ling L Cui Qianwei Q Liu Ying Y Liu Zhongwei Z Zhang Yong Y Liu Fuqiang F Wang Junkui J

Medical science monitor : international medical journal of experimental and clinical research 20200818

BACKGROUND The efficacy of a beta-blocker or statin alone versus combination therapy is uncertain. We compared the effects of a combination of beta-blocker and statin with those of one-drug therapies with regard to the occurrence of a major adverse cardiovascular event (MACE) in patients with acute coronary syndrome (ACS). MATERIAL AND METHODS From 2011 to 2013, 636 ACS patients were included. Based on their risk category, enrolled subjects were assigned into 4 groups receiving consistent beta-b ...[more]

PMID: 32808600

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Project description:IntroductionCardiovascular disease (CVD) is the leading cause of morbidity and mortality globally. With advances in early diagnosis and treatment of CVD and increasing life expectancy, more people are surviving initial CVD events. However, models for stratifying disease severity risk in patients with established CVD for effective secondary prevention strategies are inadequate. Multivariable prognostic models to stratify CVD risk may allow personalised treatment interventions. This review aims to systematically review the existing multivariable prognostic models for the recurrence of CVD or major adverse cardiovascular events in adults with established CVD diagnosis.Methods and analysisBibliographic databases (Ovid MEDLINE, EMBASE, PsycINFO and Web of Science) will be searched, from database inception to April 2020, using terms relating to the clinical area and prognosis. A hand search of the reference lists of included studies will also be done to identify additional published studies. No restrictions on language of publications will be applied. Eligible studies present multivariable models (derived or validated) of adults (aged 16 years and over) with an established diagnosis of CVD, reporting at least one of the components of the primary outcome of major adverse cardiovascular events (defined as either coronary heart disease, stroke, peripheral artery disease, heart failure or CVD-related mortality). Reviewing will be done by two reviewers independently using the pre-defined criteria. Data will be extracted for included full-text articles. Risk of bias will be assessed using the Prediction model study Risk Of Bias ASsessment Tool (PROBAST). Prognostic models will be summarised narratively. If a model is tested in multiple validation studies, the predictive performance will be summarised using a random-effects meta-analysis model to account for any between-study heterogeneity.Ethics and disseminationEthics approval is not required. The results of this study will be submitted to relevant conferences for presentation and a peer-reviewed journal for publication.Prospero registration numberCRD42019149111.

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.

Project description:The 2013 American College of Cardiology/American Heart Association (ACC/AHA) guidelines for cholesterol management defined new eligibility criteria for statin therapy. However, it is unclear whether this approach improves identification of adults at higher risk of cardiovascular events.To determine whether the ACC/AHA guidelines improve identification of individuals who develop incident cardiovascular disease (CVD) and/or have coronary artery calcification (CAC) compared with the National Cholesterol Education Program's 2004 Updated Third Report of the Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (ATP III) guidelines.Longitudinal community-based cohort study, with participants for this investigation drawn from the offspring and third-generation cohorts of the Framingham Heart Study. Participants underwent multidetector computed tomography for CAC between 2002 and 2005 and were followed up for a median of 9.4 years for incident CVD.Statin eligibility was determined based on Framingham risk factors and low-density lipoprotein thresholds for ATP III, whereas the pooled cohort calculator was used for ACC/AHA.The primary outcome was incident CVD (myocardial infarction, death due to coronary heart disease [CHD], or ischemic stroke). Secondary outcomes were CHD and CAC (as measured by the Agatston score).Among 2435 statin-naive participants (mean age, 51.3 [SD, 8.6] years; 56% female), 39% (941/2435) were statin eligible by ACC/AHA compared with 14% (348/2435) by ATP III (P?<?.001). There were 74 incident CVD events (40 nonfatal myocardial infarctions, 31 nonfatal ischemic strokes, and 3 fatal CHD events). Participants who were statin eligible by ACC/AHA had increased hazard ratios for incident CVD compared with those eligible by ATP III: 6.8 (95% CI, 3.8-11.9) vs 3.1 (95% CI, 1.9-5.0), respectively (P<.001). Similar results were seen for CVD in participants with intermediate Framingham Risk Scores and for CHD. Participants who were newly statin eligible (n?=?593 [24%]) had an incident CVD rate of 5.7%, yielding a number needed to treat of 39 to 58. Participants with CAC were more likely to be statin eligible by ACC/AHA than by ATP III: CAC score >0 (n?=?1015): 63% vs 23%; CAC score >100 (n?=?376): 80% vs 32%; and CAC score >300 (n?=?186): 85% vs 34% (all P?<?.001). A CAC score of 0 identified a low-risk group among ACC/AHA statin-eligible participants (306/941 [33%]) with a CVD rate of 1.6%.In this community-based primary prevention cohort, the ACC/AHA guidelines for determining statin eligibility, compared with the ATP III, were associated with greater accuracy and efficiency in identifying increased risk of incident CVD and subclinical coronary artery disease, particularly in intermediate-risk participants.

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.

Dataset Information

Effects of a Secondary Prevention Combination Therapy with beta-Blocker and Statin on Major Adverse Cardiovascular Events in Acute Coronary Syndrome Patients.

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Effects of a Secondary Prevention Combination Therapy with beta-Blocker and Statin on Major Adverse Cardiovascular Events in Acute Coronary Syndrome Patients.

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