Cardiovascular (CV) disease is a leading cause of death worldwide, accounting for approximately 31.4% of deaths globally in 2012. It is estimated that, from 1980 to 2000, reduction in total cholesterol accounted for a 33% decrease in coronary heart disease (CHD) deaths in the United States. In other developed countries, similar decreases in CHD deaths (ranging from 19%-46%) have been attributed to reduction in total cholesterol. Low-density lipoprotein cholesterol (LDL-C) has now largely replaced total cholesterol as a risk marker and the primary treatment target for hyperlipidemia. Reduction in LDL-C levels by statin-based therapies has been demonstrated to result in a reduction in the risk of nonfatal CV events and mortality in a continuous and graded manner over a wide range of baseline risk and LDL-C levels. This article provides a review of (1) the relationship between LDL-C and CV risk from a biologic, epidemiologic, and genetic standpoint; (2) evidence-based strategies for LDL-C lowering; (3) lipid-management guidelines; (4) new strategies to further reduce CV risk through LDL-C lowering; and (5) population-level and health-system initiatives aimed at identifying, treating, and lowering lifetime LDL-C exposure.

Large gaps exist between recommendations and current practice regarding LLT in the population with ASCVD. In our model that assumes no LLT intolerance and full adherence, intensification of oral LLT could achieve an LDL-C level of less than 70 mg/dL in most patients, with only a modest percentage requiring a PCSK9 inhibitor.

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In a high CV risk population in a routine care setting in Japan, guideline recommended LDL-C goal attainment and utilization of statins and other LMT was low. In addition, physicians appeared to be more likely to consider the initiation of statins in patients with higher baseline LDL-C levels.

Background: Lowering low-density lipoprotein cholesterol with statins reduces risk of cardiovascular events. We examined patterns and predictors of filled prescriptions for lipid-lowering therapy (LLT) in subgroups of patients with atherosclerotic cardiovascular disease (ASCVD) and/or diabetes mellitus (DM). Hypothesis: Statin treatment remains underutilized across subgroups of high CV risk patients.Methods: Patients in the Optum Research Database with these criteria were included: age ≥20 years, 2 years continuous enrollment, and ASCVD and/or DM. Patients were hierarchically classified by the presence of recent acute coronary syndrome, other coronary heart disease, ischemic stroke, peripheral arterial disease (PAD), or only DM. Predictors of filled LLT regimens were examined using multinomial logistic regression.Results: A total of 1 055 932 individuals met all inclusion criteria. Evidence by point-in-time analysis of filled (not only written) statin prescriptions was 45% for the overall cohort. By subgroups, this was 62%, 52%, 43%, 36%, and 40% for recent acute coronary syndrome, other coronary heart disease, ischemic stroke, PAD, and only DM, respectively. Predictors of higher rates of any statin regimen included age 50 to 69 years, male sex, absence of comorbidities, and filled prescriptions of other standard-of-care therapies. Conclusions:In 2014, only 49% of patients with ASCVD and 40% with only DM had evidence for a filled statin prescription. Those with indications of ischemic stroke, PAD, and DM were less likely to receive statins than those with coronary conditions. Other characteristics such as advanced age, female sex, and noncardiac conditions predicted less statin utilization, thereby representing good targets for quality improvement. comprehensive analysis of the predictors and actual filled prescription patterns of statin and nonstatin lipid-lowering therapies (LLT) in subgroups of ASCVD and diabetes mellitus (DM) patients collected from a contemporary, generalizable database of US patients. | METHODSThis was a retrospective, cross-sectional, observational study. Data were de-identified in accordance with established privacy guidelines under the Health Insurance Portability and Accountability Act; therefore, separate institutional review board approval was not sought. | Database and cohort selectionWe utilized high-CV-risk condition(s) using 2 methods. In the first method, each patient was classified hierarchically into the highest mutually exclusive CV-risk condition (using the order above) for which he/she qualified (termed "hierarchical" subgroups). In the second method, each patient was classified into each CV-risk condition for which he/she qualified (termed "prevalent" subgroups); thus, a patient could be included in ≥1 CV condition under prevalent categorization. As an example, an individual with a history of elective coronary revascularization and DM would be hierarchically classified as "other CHD," but as both "other CHD" and "DM" by prevalent classification. International Classific...

PurposeThe Statin-Associated Muscle Symptom Clinical Index (SAMS-CI) is a method for assessing the likelihood that a patient’s muscle symptoms (e.g., myalgia or myopathy) were caused or worsened by statin use. The objectives of this study were to prepare the SAMS-CI for clinical use, estimate its inter-rater reliability, and collect feedback from physicians on its practical application.MethodsFor content validity, we conducted structured in-depth interviews with its original authors as well as with a panel of independent physicians. Estimation of inter-rater reliability involved an analysis of 30 written clinical cases which were scored by a sample of physicians. A separate group of physicians provided feedback on the clinical use of the SAMS-CI and its potential utility in practice.ResultsQualitative interviews with providers supported the content validity of the SAMS-CI. Feedback on the clinical use of the SAMS-CI included several perceived benefits (such as brevity, clear wording, and simple scoring process) and some possible concerns (workflow issues and applicability in primary care). The inter-rater reliability of the SAMS-CI was estimated to be 0.77 (confidence interval 0.66–0.85), indicating high concordance between raters. With additional provider feedback, a revised SAMS-CI instrument was created suitable for further testing, both in the clinical setting and in prospective validation studies.ConclusionsWith standardized questions, vetted language, easily interpreted scores, and demonstrated reliability, the SAMS aims to estimate the likelihood that a patient’s muscle symptoms were attributable to statins. The SAMS-CI may support better detection of statin-associated muscle symptoms in clinical practice, optimize treatment for patients experiencing muscle symptoms, and provide a useful tool for further clinical research.Electronic supplementary materialThe online version of this article (doi:10.1007/s10557-017-6723-4) contains supplementary material, which is available to authorized users.

LMT use among high-cardiovascular-risk patients was modest, which contributed to 46% of the cohort failing to reach LDL-C goals <100 mg/dL. Underuse and suboptimal use of LMTs in this cohort represent opportunities for quality improvement programs aimed at reducing the risk of cardiovascular events.