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      Temporal Trend of Age at Diagnosis in Hypertrophic Cardiomyopathy : An Analysis of the International Sarcomeric Human Cardiomyopathy Registry

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          Abstract

          Background:

          Over the last 50 years, the epidemiology of hypertrophic cardiomyopathy (HCM) has changed because of increased awareness and availability of advanced diagnostic tools. We aim to describe the temporal trends in age, sex, and clinical characteristics at HCM diagnosis over >4 decades.

          Methods:

          We retrospectively analyzed records from the ongoing multinational Sarcomeric Human Cardiomyopathy Registry. Overall, 7286 patients with HCM diagnosed at an age ≥18 years between 1961 and 2019 were included in the analysis and divided into 3 eras of diagnosis (<2000, 2000–2010, >2010).

          Results:

          Age at diagnosis increased markedly over time (40±14 versus 47±15 versus 51±16 years, P<0.001), both in US and non-US sites, with a stable male-to-female ratio of about 3:2. Frequency of familial HCM declined over time (38.8% versus 34.3% versus 32.7%, P<0.001), as well as heart failure symptoms at presentation (New York Heart Association III/IV: 18.1% versus 15.8% versus 12.6%, P<0.001). Left ventricular hypertrophy became less marked over time (maximum wall thickness: 20±6 versus 18±5 versus 17±5 mm, P<0.001), while prevalence of obstructive HCM was greater in recent cohorts (peak gradient >30 mm Hg: 31.9% versus 39.3% versus 39.0%, P=0.001). Consistent with decreasing phenotypic severity, yield of pathogenic/likely pathogenic variants at genetic testing decreased over time (57.7% versus 45.6% versus 38.4%, P<0.001).

          Conclusions:

          Evolving HCM populations include progressively greater representation of older patients with sporadic disease, mild phenotypes, and genotype-negative status. Such trend suggests a prominent role of imaging over genetic testing in promoting HCM diagnoses and urges efforts to understand genotype-negative disease eluding the classic monogenic paradigm.

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          Most cited references7

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          International Recommendations for Electrocardiographic Interpretation in Athletes.

          Sudden cardiac death (SCD) is the leading cause of mortality in athletes during sport. A variety of mostly hereditary, structural, or electrical cardiac disorders are associated with SCD in young athletes, the majority of which can be identified or suggested by abnormalities on a resting 12-lead electrocardiogram (ECG). Whether used for diagnostic or screening purposes, physicians responsible for the cardiovascular care of athletes should be knowledgeable and competent in ECG interpretation in athletes. However, in most countries a shortage of physician expertise limits wider application of the ECG in the care of the athlete. A critical need exists for physician education in modern ECG interpretation that distinguishes normal physiological adaptations in athletes from distinctly abnormal findings suggestive of underlying pathology. Since the original 2010 European Society of Cardiology recommendations for ECG interpretation in athletes, ECG standards have evolved quickly over the last decade; pushed by a growing body of scientific data that both tests proposed criteria sets and establishes new evidence to guide refinements. On February 26-27, 2015, an international group of experts in sports cardiology, inherited cardiac disease, and sports medicine convened in Seattle, Washington, to update contemporary standards for ECG interpretation in athletes. The objective of the meeting was to define and revise ECG interpretation standards based on new and emerging research and to develop a clear guide to the proper evaluation of ECG abnormalities in athletes. This statement represents an international consensus for ECG interpretation in athletes and provides expert opinion-based recommendations linking specific ECG abnormalities and the secondary evaluation for conditions associated with SCD.
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            Risk stratification and outcome of patients with hypertrophic cardiomyopathy >=60 years of age.

            Hypertrophic cardiomyopathy (HCM) is prominently associated with risk for sudden death and disease progression, largely in young patients. Whether patients of more advanced age harbor similar risks is unresolved, often creating clinical dilemmas, particularly in decisions for primary prevention of sudden death with implantable defibrillators.
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              Moving Beyond the Sarcomere to Explain Heterogeneity in Hypertrophic Cardiomyopathy

              Hypertrophic cardiomyopathy (HCM) has been considered a heterogeneous cardiac disease ascribed solely to single sarcomere gene mutations. However, limitations of this hypothesis suggest that sarcomere mutations alone do not adequately explain all HCM clinical and pathobiological features. Disease-causing sarcomere mutations are absent in ∼70% of patients with established disease, and sarcomere gene carriers can live to advanced ages without developing HCM. Some features of HCM are also inconsistent with the single sarcomere gene hypothesis, such as regional left ventricular hypertrophy and myocardial fibrosis, as well as structurally abnormal elongated mitral valve leaflets and remodeled intramural coronary arterioles, which involve tissue types that do not express cardiomyocyte sarcomere proteins. It is timely to expand the HCM research focus beyond a single molecular event toward more inclusive models to explain this disease in its entirety. The authors chart paths forward addressing this knowledge gap using novel analytical approaches, particularly network medicine, to unravel the pathobiological complexity of HCM.
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                Author and article information

                Journal
                Circ Heart Fail
                Circ Heart Fail
                HHF
                Circulation. Heart Failure
                Lippincott Williams & Wilkins (Hagerstown, MD )
                1941-3289
                1941-3297
                08 September 2020
                September 2020
                : 13
                : 9
                : e007230
                Affiliations
                [1 ]Cardiovascular Disease Unit, IRCCS Ospedale Policlinico San Martino – IRCCS Italian Cardiovascular Network & Department of Internal Medicine, University of Genova, Italy (M.C., G.T.).
                [2 ]Cardiomyopathy Unit and Genetic Unit, Careggi University Hospital, Florence, Italy (C.F., F.M., I.O.).
                [3 ]MyoKardia Inc, South San Francisco, CA (J.V.-T.).
                [4 ]Department of Internal Medicine, University of Michigan, Ann Arbor (S.M.D.).
                [5 ]Stanford Center for Inherited Heart Disease, CA (E.A.A.).
                [6 ]National Heart and Lung Institute and National Institute for Health Research Royal Brompton Cardiovascular Biomedical Research Unit, Imperial College London, United Kingdom (F.M., J.S.W.).
                [7 ]Department of Cardiology, Thoraxcenter, Erasmus Medical Center Rotterdam, the Netherlands (M.M.).
                [8 ]Yale University, New Haven, CT (D.J.).
                [9 ]Cardiovascular Division, Brigham and Women’s Hospital, Boston, MA (C.Y.H.).
                Author notes
                Correspondence to: Marco Canepa, MD, PhD, Cardiovascular Unit, Department of Internal Medicine, University of Genova, Ospedale Policlinico San Martino IRCCS, Viale Benedetto XV, 16132 Genova, GE, Italy. Email marco.canepa@ 123456unige.it
                Article
                00008
                10.1161/CIRCHEARTFAILURE.120.007230
                7497482
                32894986
                7ab38998-7e73-421d-b9ea-8ea629aae44d
                © 2020 The Authors.

                Journal name is published on behalf of the American Heart Association, Inc., by Wolters Kluwer Health, Inc. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution, and reproduction in any medium, provided that the original work is properly cited.

                History
                : 17 April 2020
                : 6 July 2020
                Categories
                10062
                10090
                10095
                Original Articles
                Custom metadata
                TRUE

                cardiomyopathy, hypertrophic,genotype,heart failure,phenotype,prevalence

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