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Background Polygenic risk scores (PRS) for coronary artery disease (CAD) identify high-risk individuals more likely to benefit from primary prevention statin therapy. Whether polygenic CAD risk is captured by conventional paradigms for assessing clinical cardiovascular risk remains unclear. Objectives This study sought to intersect polygenic risk with guideline-based recommendations and management patterns for CAD primary prevention. Methods A genome-wide CAD PRS was applied to 47,108 individuals across 3 U.S. health care systems. The authors then assessed whether primary prevention patients at high polygenic risk might be distinguished on the basis of greater guideline-recommended statin eligibility and higher rates of statin therapy. Results Of 47,108 study participants, the mean age was 60 years, and 11,020 (23.4%) had CAD. The CAD PRS strongly associated with prevalent CAD (odds ratio 1.4 per SD increase in PRS; p less then 0.0001). High polygenic risk (top 20% of PRS) conferred 1.9-fold odds of developing CAD (p less then 0.0001). However, among primary prevention patients (n = 33,251), high polygenic risk did not correspond with increased recommendations for statin therapy per the American College of Cardiology/American Heart Association (46.2% for those with high PRS vs. 46.8% for all others, p = 0.54) or U.S. Preventive Services Task Force (43.7% vs. 43.7%, p = 0.99) or higher rates of statin prescriptions (25.0% vs. 23.8%, p = 0.04). An additional 4.1% of primary prevention patients may be recommended for statin therapy if high CAD PRS were considered a guideline-based risk-enhancing factor. Conclusions Current paradigms for primary cardiovascular prevention incompletely capture a polygenic susceptibility to CAD. An opportunity may exist to improve CAD prevention efforts by integrating both genetic and clinical risk.Background Cardiac magnetic resonance (CMR) is widely used to assess tissue and functional abnormalities in arrhythmogenic right ventricular cardiomyopathy (ARVC). Recently, a ARVC risk score was proposed to predict the 5-year risk of malignant ventricular arrhythmias in patients with ARVC. However, CMR features such as fibrosis, fat infiltration, and left ventricular (LV) involvement were not considered. Objectives The authors sought to evaluate the prognostic role of CMR phenotype in patients with definite ARVC and to evaluate the effectiveness of the novel 5-year ARVC risk score to predict cardiac events in different CMR presentations. Methods A total of 140 patients with definite ARVC were enrolled (mean age 42 ± 17 years, 97 males) in this multicenter prospective registry. As per study design, CMR was performed in all the patients at enrollment. The novel 5-year ARVC risk score was retrospectively calculated using the patient's characteristics at the time of enrollment. During a median follow-up of 5 yeacore is valid for the estimation of risk in patients with lone-RV presentation but underestimated the risk when LV is involved.Recognizing the contribution art has had in the Mayo Clinic environment since the original Mayo Clinic Building was finished in 1914, Mayo Clinic Proceedings features some of the numerous works of art displayed throughout the buildings and grounds on Mayo Clinic campuses as interpreted by the author.Dementia affects nearly 50 million people worldwide, translating into one new case every 3 seconds. Dementia syndrome is one of the leading causes of disability among older adults, yet it remains vastly underdiagnosed. A timely diagnosis of dementia is essential to ensuring optimal care and support of individuals and their loved ones. Although there is no single test for dementia, health care providers can use a structured approach to the workup and management of new cognitive symptoms. Comprehensive MEDLINE and PubMed searches were performed to develop an unbiased, practical diagnostic approach to these symptoms. This review guides primary care providers in the workup, diagnosis, delivery, and initial management of patients presenting with new cognitive symptoms.Breast cancer-screening guidelines increasingly recommend that clinicians perform a risk assessment for breast cancer to inform shared decision making for screening. Precision medicine is quickly becoming the preferred approach to cancer screening, with the aim of increased surveillance in high-risk women, while sparing lower-risk women the burden of unnecessary imaging. selleck kinase inhibitor Risk assessment also informs clinical care by refining screening recommendations for younger women, identifying women who should be referred to genetic counseling, and identifying candidates for risk-reducing medications. Several breast cancer risk-assessment models are currently available to help clinicians categorize a woman's risk for breast cancer. However, choosing the appropriate model for a given patient requires a working knowledge of the strengths, weaknesses, and performance characteristics of each. The aim of this article is to provide a stepwise approach for clinicians to assess an individual woman's risk for breast cancer and describe the features, appropriate use, and performance characteristics of commonly encountered risk-prediction models. This approach will help primary care providers engage in shared decision making by efficiently generating an accurate risk assessment and make clear, evidence-based screening and prevention recommendations that are appropriately matched to a woman's risk for breast cancer.Cardiovascular disease (CVD) disproportionately affects older adults. It is expected that by 2030, one in five people in the United States will be older than 65 years. Individuals with CVD now live longer due, in part, to current prevention and treatment approaches. Addressing the needs of older individuals requires inclusion and assessment of frailty, multimorbidity, depression, quality of life, and cognition. Despite the conceptual relevance and prognostic importance of these factors, they are seldom formally evaluated in clinical practice. Further, although these constructs coexist with traditional cardiovascular risk factors, their exact prevalence and prognostic impact remain largely unknown. Development of the right decision tools, which include these variables, can facilitate patient-centered care for older adults. These gaps in knowledge hinder optimal care use and underscore the need to rigorously evaluate the optimal constructs for providing care to older adults. In this review, we describe available tools to examine the prognostic role of age-related factors in patients with CVD.
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