Open AccessHYPERTROPHIC CARDIOMYOPATHY IN ELDERLY PEOPLE
Author(s) -
А. А. Полякова,
Е. Н. Семернин,
A. A. Streltsova,
Anna Kostareva,
А. Я. Гудкова
Publication year - 2013
Publication title -
arterialʹnaâ gipertenziâ
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.126
H-Index - 5
eISSN - 2411-8524
pISSN - 1607-419X
DOI - 10.18705/1607-419x-2013-19-6-502-505
Subject(s) - hypertrophic cardiomyopathy , medicine , left ventricular hypertrophy , natural history , sudden cardiac death , cohort , population , cardiology , comorbidity , sudden death , disease , cardiomyopathy , heart failure , environmental health , blood pressure
Hypertrophic cardiomyopathy (HCM) is a leader in genetic structure of cardiovascular system. According to modern concepts, hypertrophic cardiomyopathy associated with mutations of sarcomere proteins is just one of the reasons leading to the left ventricular hypertrophy (LVH). Hypertrophic phenotype is also observed in a number of genetically and non-genetically related diseases. According to population-based studies conducted in the USA, Europe and Japan, the prevalence of HCM is 1:500. Apparently, the data obtained in these studies and based primarily on the phenotypic screening cannot be extrapolated to the full cohort of patients with HCM and reflect the general incidence of hypertrophic phenotype in different populations. There are some publications on the prevalence of HCM in the structure of LVH of unknown cause in children and adolescents. The features of the clinical course of HCM, risk stratification of sudden cardiac death (SCD), medical management in young and middle age are studied. At the same time elderly patients with unexplained LVH are the least studied cohort. Study of the natural history of the disease, risk factors for adverse events, including the SCD, the impact of comorbidity on the clinical manifestations of HCM in the elderly will contribute better understanding of this pathology, as well as a number of other diseases occurring under the guise of HCM. This can help to develop the algorithms for diagnosis, prediction criteria and management of LVH of unknown cause.