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Clinical characteristics and management of coexistent cardiomyopathy in patients with bicuspid aortic valve

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摘要 BACKGROUND Bicuspid aortic valve(BAV)is the most common congenital heart disease.However,the prevalence,clinical characteristics,and current management of BAV associated with inherited cardiomyopathy,including hypertrophic cardiomy-opathy(HCM),dilated cardiomyopathy(DCM),and left ventricular noncompaction(LVNC)have not been well described.METHODS Consecutive patients diagnosed with BAV at a large tertiary cardiovascular referral center between 2009 and 2018 were retrospectively assessed for HCM,DCM,and LVNC based on clinical and echocardiographic criteria.Patients with coexist-ent conditions were investigated further.RESULTS Of 3533 patients with BAV screened,57(1.6%)had concomitant cardiomyopathy.BAV was combined with HCM in 30 of these patients,with DCM in 19,and with LVNC in eight.Forty-six patients(80.7%)were male,and the mean age at first dia-gnosis was 47 years for BAV with HCM,49 years for BAV with DCM,and 35 years for BAV with LVNC.Heart failure and aortic valve dysfunction were common in these patients,and the prevalence of coexisting aortopathy was 43.3%,26.3%and 25.0%,re-spectively,for BAV with HCM,DCM and LVNC.During the index hospitalization,24 of the 57 patients(42.1%)underwent sur-gery,16(28%)underwent aortic valve and/or aortic surgery,and 16 of the 30 patients with HCM had a Morrow procedure.There were no deaths or other major adverse cardiovascular events.CONCLUSIONS The prevalence of inherited cardiomyopathy was higher in our patients with BAV than in the general popula-tion.Aortopathy and heart failure were common,with almost half of patients requiring surgery at diagnosis.
出处 《Journal of Geriatric Cardiology》 SCIE CAS CSCD 2023年第3期205-213,共9页 老年心脏病学杂志(英文版)
基金 supported by grants from the National Key Research and Development Program of China(2016YFC1300100) National Natural Science Foundation of China(81974042) Non-profit Central Research Institute Fund of Chinese Academy of Medical Sciences(2019XK320058 and 2019XK320057).
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