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280. Shizuta S, Ando K, Nobuyoshi M, et al. PREVENT-SCD Investigators. Prognostic utility of T-wave alternans in a real-world population of patients with left ventricular dysfunction: the PREVENT-SCD study. Clin Res Cardiol 2012; 101: 89- 99. PMID: 21960418 281. Exner DV, Kavanagh KM, Slawnych MP, et al. REFINE Investigators. Noninvasive risk assessment early after a myocardial infarction the REFINE study. J Am Coll Cardiol 2007; 50: 2275- 2284. PMID: 18068035 282. Hoshida K, Miwa Y, Miyakoshi M, et al. Simultaneous assessment of T-wave alternans and heart rate turbulence on holter electrocardiograms as predictors for serious cardiac events in patients after myocardial infarction. Circ J 2013; 77: 432- 438. PMID: 23059771 283. Merchant FM, Zheng H, Bigger T, et al. A combined anatomic and electrophysiologic substrate based approach for sudden cardiac death risk stratification. Am Heart J 2013; 166: 744- 752. PMID: 24093856 284. Salerno-Uriarte JA, De Ferrari GM, Klersy C, et al. ALPHA Study Group Investigators. Prognostic value of T-wave alternans in patients with heart failure due to nonischemic cardiomyopathy: Results of the ALPHA Study. J Am Coll Cardiol 2007; 50: 1896- 1904. PMID: 17980258 285. Quan XQ, Zhou HL, Ruan L, et al. Ability of ambulatory ECGbased T-wave alternans to modify risk assessment of cardiac events: a systematic review. BMC Cardiovasc Disord 2014; 14: 198. PMID: 25528490 286. Lewek J, Ptaszynski P, Klingenheben T, et al. The clinical value of T-wave alternans derived from Holter monitoring. Europace 2017; 19: 529-534. PMID: 28339589 287. Tasic J, Zupan I. T-wave variability as a risk stratifier in patients with dilated cardiomyopathy. Pacing Clin Electrophysiol 2009; 32 Suppl: S155-S157. PMID: 19250082 288. Ribeiro AL, Rocha MO, Terranova P, et al. T-wave amplitude variability and the risk of death in Chagas disease. J Cardiovasc Electrophysiol 2011; 22: 799-805. PMID: 21235679 289. Stojkovic S, Ristl R, Moser FT, et al. T-wave variability for the prediction of fast ventricular arrhythmias – prospective, observerblind study. Circ J 2015; 79: 318-324. PMID: 25482297 290. Chevalier P, Burri H, Adeleine P, et al. Groupe d’Etude du Pronostic de l’Infarctus du Myocarde. QT dynamicity and sudden death after myocardial infarction: Results of a long-term follow-up study. J Cardiovasc Electrophysiol 2003; 14: 227-233. PMID: 12716101 291. Cygankiewicz I, Zareba W, Vazquez R, et al. MUSIC Investigators. Prognostic value of QT/RR slope in predicting mortality in patients with congestive heart failure. J Cardiovasc Electrophysiol 2008; 19: 1066-1072. PMID: 18554200 292. Wolf MM, Varigos GA, Hunt D, et al. Sinus arrhythmia in acute myocardial infarction. Med J Aust 1978; 2: 52- 53. PMID: 713911 293. La Rovere MT, Bigger JT Jr, Marcus FI, et al. ATRAMI (Autonomic Tone and Reflexes After Myocardial Infarction) Investigators. Baroreflex sensitivity and heart-rate variability in prediction of total cardiac mortality after myocardial infarction. Lancet 1998; 351: 478-484. PMID: 9482439 294. Vanninen E, Tuunainen A, Kansanen M, et al. Cardiac sympathovagal balance during sleep apnea episodes. Clin Physiol 1996; 16: 209-216. PMID: 8736709 295. La Rovere MT, Pinna GD, Maestri R, et al. Short-term heart rate variability strongly predicts sudden cardiac death in chronic heart failure patients. Circulation 2003; 107: 565-570. PMID: 12566367 296. Pagani M, Lombardi F, Guzzetti S, et al. Power spectral density of heart rate variability as an index of sympatho-vagal interaction in normal and hypertensive subjects. J Hypertens Suppl 1984; 2: S383-S385. PMID: 6599685 297. Voss A, Fischer C, Schroeder R, et al. Segmented Poincaré plot analysis for risk stratification in patients with dilated cardiomyopathy. Methods Inf Med 2010; 49: 511-515. PMID: 20526525 298. Huikuri HV, Mäkikallio TH, Peng CK, et al. DIAMOND Study Group. Fractal correlation properties of R-R interval dynamics and mortality in patients with depressed left ventricular function after an acute myocardial infarction. Circulation 2000; 101: 47- 53. PMID: 10618303 299. Perkiömäki JS, Jokinen V, Tapanainen J, et al. Autonomic markers as predictors of nonfatal acute coronary events after myocardial infarction. Ann Noninvasive Electrocardiol 2008; 13: 120-129. PMID: 18426437 300. Hayano J, Yuda E. Pitfalls of assessment of autonomic function by heart rate variability. J Physiol Anthropol 2 0 1 9 ; 3 8 : 3 . PMID: 30867063 301. Schmidt G, Malik M, Barthel P, et al. Heart-rate turbulence after ventricular premature beats as a predictor of mortality after acute myocardial infarction. Lancet 1999; 353: 1390- 1396. PMID: 10227219 302. Cygankiewicz I. Heart rate turbulence. Prog Cardiovasc Dis 2013; 56: 160-171. PMID: 24215748 303. Disertori M, Masè M, Rigoni M, et al. Heart rate turbulence is a powerful predictor of cardiac death and ventricular arrhythmias in postmyocardial infarction and heart failure patients: A systematic review and meta-analysis. Circ Arrhythm Electrophysiol 2016; 9: e004610. PMID: 27879279 304. Yamada S, Yoshihisa A, Sato Y, et al. Utility of heart rate turbulence and T-wave alternans to assess risk for readmission and cardiac death in hospitalized heart failure patients. J Cardiovasc Electrophysiol 2018; 29: 1257-1264. PMID: 29777559 305. Verrier RL. Assessing risk for rehospitalization and cardiac death in patients with heart failure: Can the dynamic duo of heart rate turbulence and T-wave alternans help? J Cardiovasc Electrophysiol 2018; 29: 1265-1267. PMID: 29882377 306. Miwa Y, Yoshino H, Hoshida K, et al. Risk stratification for serious arrhythmic events using nonsustained ventricular tachycardia and heart rate turbulence detected by 24-hour holter electrocardiograms in patients with left ventricular dysfunction. Ann Noninvasive Electrocardiol 2 0 1 2 ; 1 7 : 2 6 0 - 2 6 7 . PMID: 22816545 307. Vanoli E, Adamson PB. Baroreflex sensitivity: Methods, mechanisms, and prognostic value. Pacing Clin Electrophysiol 1994; 17: 434-445. PMID: 7513871 308. La Rovere MT, Pinna GD, Hohnloser SH, et al. Autonomic Tone and Reflexes After Myocardial Infarction (ATRAMI) Investigators. Baroreflex sensitivity and heart rate variability in the identification of patients at risk for life-threatening arrhythmias: Implications for clinical trials. Circulation 2001; 103: 2072- 2077. PMID: 11319197 309. Huikuri HV, Tapanainen JM, Lindgren K, et al. Prediction of sudden cardiac death after myocardial infarction in the betablocking era. J Am Coll Cardiol 2003; 42: 652- 658. PMID: 12932596 310. La Rovere MT, Pinna GD, Maestri R, et al. Prognostic implications of baroreflex sensitivity in heart failure patients in the beta-blocking era. J Am Coll Cardiol 2009; 53: 193-199. PMID: 19130988 311. Paleczny B, Olesińska-Mader M, Siennicka A, et al. Assessment of baroreflex sensitivity has no prognostic value in contemporary, optimally managed patients with mild-to-moderate heart failure with reduced ejection fraction: a retrospective analysis of 5-year survival. Eur J Heart Fail 2019; 21: 50- 58. PMID: 30191647 312. La Rovere MT, Maestri R, Robbi E, et al. Comparison of the prognostic values of invasive and noninvasive assessments of baroreflex sensitivity in heart failure. J Hypertens 2011; 29: 1546-1552. PMID: 21666492 313. Bauer A, Kantelhardt JW, Barthel P, et al. Deceleration capacity of heart rate as a predictor of mortality after myocardial infarction: cohort study. Lancet 2006; 367: 1674- 1681. PMID: 16714188 314. La Rovere MT, Pinna GD, Maestri R, et al. GISSI-HF Investigators. Autonomic markers and cardiovascular and arrhythmic events in heart failure patients: still a place in prognostication? Data from the GISSI-HF trial. Eur J Heart Fail 2012; 14: 1410- 1419. PMID: 22851700 315. 日本医学会.医療における遺伝学的検査・診断に関するガイドライン. 2011.https://jams.med.or.jp/guideline/genetics-diagnosis.pdf 316. 日本人類遺伝学会.次世代シークエンサーを用いた網羅的遺伝学的検査に関する提言.2017.https://jshg.jp/wp-content/uploads/2017/11 /237481cfae4fcef8280c77d95b574a97.pdf 317. Ackerman MJ, Priori SG, Willems S, et al. HRS/EHRA expert consensus statement on the state of genetic testing for the channelopathies and cardiomyopathies: This document was developed as a partnership between the Heart Rhythm Society (HRS) and the European Heart Rhythm Association (EHRA). Heart Rhythm 2011; 8: 1308-1339. PMID: 21787999 318. Yamagata K, Horie M, Aiba T, et al. Genotype-phenotype correlation of SCN5A mutation for the clinical and electrocardiographic characteristics of probands with Brugada syndrome: A Japanese Multicenter Registry. Circulation 2017; 135: 2255- 2270. PMID: 28341781 319. Itoh H, Crotti L, Aiba T, et al. The genetics underlying acquired