Tuohy CV, et al. Hypertrophic cardiomyopathy: the future of treatment. Eur J Heart Fail. 2020;22(2):228–40.
Ommen SR, et al. 2020 AHA/ACC guideline for the diagnosis and treatment of patients with hypertrophic cardiomyopathy: a report of the American College of Cardiology/American Heart Association Joint Committee on Clinical Practice Guidelines. Circulation. 2020;142(25):e558–631.
Liu J, et al. Improvement in sudden cardiac death risk prediction by the enhanced American College of Cardiology/American Heart Association strategy in Chinese patients with hypertrophic cardiomyopathy. Heart Rhythm. 2020;17(10):1658–63.
Semsarian C, et al. New perspectives on the prevalence of hypertrophic cardiomyopathy. J Am Coll Cardiol. 2015;65(12):1249–54.
Norrish G, et al. Clinical features and natural history of preadolescent nonsyndromic hypertrophic cardiomyopathy. J Am Coll Cardiol. 2022;79(20):1986–97.
Article PubMed PubMed Central Google Scholar
Maron BJ. Clinical Course and Management of Hypertrophic Cardiomyopathy. N Engl J Med. 2018;379(7):655–68.
Authors/Task Force, m., et al., 2014 ESC guidelines on diagnosis and management of hypertrophic cardiomyopathy: the Task Force for the Diagnosis and Management of Hypertrophic Cardiomyopathy of the European Society of Cardiology (ESC). Eur Heart J, 2014. 35(39): p. 2733-79.
Maron MS, et al. Enhanced American College of Cardiology/American Heart Association strategy for prevention of sudden cardiac death in high-risk patients with hypertrophic cardiomyopathy. JAMA Cardiol. 2019;4(7):644–57.
Article PubMed PubMed Central Google Scholar
Dong Y, et al. Validation of the 2020 AHA/ACC risk stratification for sudden cardiac death in Chinese patients with hypertrophic cardiomyopathy. Front Cardiovasc Med. 2021;8: 691653.
Article PubMed PubMed Central Google Scholar
Wang, J., et al., Assessment of late gadolinium enhancement in hypertrophic cardiomyopathy improves risk stratification based on current guidelines. Eur Heart J, 2023.
Leonardi S, et al. Usefulness of cardiac magnetic resonance in assessing the risk of ventricular arrhythmias and sudden death in patients with hypertrophic cardiomyopathy. Eur Heart J. 2009;30(16):2003–10.
Hen Y, et al. High signal intensity on t2-weighted cardiovascular magnetic resonance imaging predicts life-threatening arrhythmic events in hypertrophic cardiomyopathy patients. Circ J. 2018;82(4):1062–9.
Ismail TF, et al. Role of late gadolinium enhancement cardiovascular magnetic resonance in the risk stratification of hypertrophic cardiomyopathy. Heart. 2014;100(23):1851–8.
Ochoa JP, et al. Formin Homology 2 domain containing 3 (FHOD3) is a genetic basis for hypertrophic cardiomyopathy. J Am Coll Cardiol. 2018;72(20):2457–67.
Article CAS PubMed Google Scholar
Lopes LR, et al. Alpha-protein kinase 3 (ALPK3) truncating variants are a cause of autosomal dominant hypertrophic cardiomyopathy. Eur Heart J. 2021;42(32):3063–73.
Article CAS PubMed PubMed Central Google Scholar
Matthia EL, et al. Circulating biomarkers in hypertrophic cardiomyopathy. J Am Heart Assoc. 2022;11(23):e027618.
Article CAS PubMed PubMed Central Google Scholar
Johnson KW, et al. Artificial intelligence in cardiology. J Am Coll Cardiol. 2018;71(23):2668–79.
Motwani M, et al. Machine learning for prediction of all-cause mortality in patients with suspected coronary artery disease: a 5-year multicentre prospective registry analysis. Eur Heart J. 2017;38(7):500–7.
Deo RC. Machine learning in medicine. Circulation. 2015;132(20):1920–30.
Article PubMed PubMed Central Google Scholar
Weng SF, et al. Can machine-learning improve cardiovascular risk prediction using routine clinical data? PLoS One. 2017;12(4):e0174944.
Article PubMed PubMed Central Google Scholar
Heo J, et al. Machine learning-based model for prediction of outcomes in acute stroke. Stroke. 2019;50(5):1263–5.
Alaa AM, et al. Cardiovascular disease risk prediction using automated machine learning: a prospective study of 423,604 UK Biobank participants. PLoS One. 2019;14(5):e0213653.
Article CAS PubMed PubMed Central Google Scholar
Al’Aref SJ, et al. Clinical applications of machine learning in cardiovascular disease and its relevance to cardiac imaging. Eur Heart J. 2019;40(24):1975–86.
Article CAS PubMed Google Scholar
Javaid A, et al. Medicine 2032: The future of cardiovascular disease prevention with machine learning and digital health technology. Am J Prev Cardiol. 2022;12:100379.
Article PubMed PubMed Central Google Scholar
Lang RM, et al. Recommendations for cardiac chamber quantification by echocardiography in adults: an update from the American Society of Echocardiography and the European Association of Cardiovascular Imaging. J Am Soc Echocardiogr. 2015;28(1):1–39 (e14).
Sasson Z, et al. Doppler echocardiographic determination of the pressure gradient in hypertrophic cardiomyopathy. J Am Coll Cardiol. 1988;11(4):752–6.
Article CAS PubMed Google Scholar
Kumar S, et al. Standardized goal-directed valsalva maneuver for assessment of inducible left ventricular outflow tract obstruction in hypertrophic cardiomyopathy. J Am Soc Echocardiogr. 2018;31(7):791–8.
Veselka J, Anavekar NS, Charron P. Hypertrophic obstructive cardiomyopathy. Lancet. 2017;389(10075):1253–67.
Porter TR, et al. Guidelines for the cardiac sonographer in the performance of contrast echocardiography: a focused update from the American Society of Echocardiography. J Am Soc Echocardiogr. 2014;27(8):797–810.
Kramer CM, et al. Hypertrophic cardiomyopathy registry: the rationale and design of an international, observational study of hypertrophic cardiomyopathy. Am Heart J. 2015;170(2):223–30.
Article PubMed PubMed Central Google Scholar
Ingles, J. and D.G. MacArthur, The moral and practical urgency of increasing diversity in genomics. Eur Heart J, 2023.
Ingles J, et al. Evaluating the clinical validity of hypertrophic cardiomyopathy genes. Circ Genom Precis Med. 2019;12(2):e002460.
Article CAS PubMed PubMed Central Google Scholar
Wang J, et al. Malignant effects of multiple rare variants in sarcomere genes on the prognosis of patients with hypertrophic cardiomyopathy. Eur J Heart Fail. 2014;16(9):950–7.
Pua CJ, et al. Genetic studies of hypertrophic cardiomyopathy in singaporeans identify variants in TNNI3 and TNNT2 that are common in chinese patients. Circ Genom Precis Med. 2020;13(5):424–34.
Article CAS PubMed PubMed Central Google Scholar
Walsh R, et al. Minor hypertrophic cardiomyopathy genes, major insights into the genetics of cardiomyopathies. Nat Rev Cardiol. 2022;19(3):151–67.
留言 (0)