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Heartbeat Chronicles: Decoding the Interplay of Echocardiography and Heart Rate Variability in Chronic Heart Failure Patients – Unraveling the Mysteries with Traditional and Advanced 24-Hour Holter ECG Parameters


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McDonagh TA, Metra M, Adamo M, Gardner RS, Baumbach A, Böhm M, Burri H, Butler J, Čelutkienė J, Chioncel O, Cleland JGF, Crespo-Leiro MG, Farmakis D, Gilard M, Heymans S, Hoes AW, Jaarsma T, Jankowska EA, Lainscak M, Lam CSP, Lyon AR, McMurray JJV, Mebazaa A, Mindham R, Muneretto C, Francesco Piepoli M, Price S, Rosano GMC, Ruschitzka F, Skibelund AK, ESC Scientific Document Group. 2023 Focused Update of the 2021 ESC Guidelines for the diagnosis and treatment of acute and chronic heart failure. Eur Heart J. 2023; 44(37):3627-3639. McDonagh TA Metra M Adamo M Gardner RS Baumbach A Böhm M Burri H Butler J Čelutkienė J Chioncel O Cleland JGF Crespo-Leiro MG Farmakis D Gilard M Heymans S Hoes AW Jaarsma T Jankowska EA Lainscak M Lam CSP Lyon AR McMurray JJV Mebazaa A Mindham R Muneretto C Francesco Piepoli M Price S Rosano GMC Ruschitzka F Skibelund AK ESC Scientific Document Group . 2023 Focused Update of the 2021 ESC Guidelines for the diagnosis and treatment of acute and chronic heart failure . Eur Heart J . 2023 ; 44 ( 37 ): 3627 - 3639 . Search in Google Scholar

Groenewegen A, Rutten FH, Mosterd A, Hoes AW. Epidemiology of heart failure. Eur J Heart Fail. 2020; 22:1342–1356. Groenewegen A Rutten FH Mosterd A Hoes AW. Epidemiology of heart failure . Eur J Heart Fail . 2020 ; 22 : 1342 1356 . Search in Google Scholar

Li ZW, Zhao HM, Wang J. Metabolism and Chronic Inflammation: The Links Between Chronic Heart Failure and Comorbidities. Front Cardiovasc Med. 2021; 8:650278. Li ZW Zhao HM Wang J. Metabolism and Chronic Inflammation: The Links Between Chronic Heart Failure and Comorbidities . Front Cardiovasc Med . 2021 ; 8 : 650278 . Search in Google Scholar

Savarese G, Becher PM, Lund LH, Seferovic P, Rosano GMC, Coats AJS. Global burden of heart failure: A comprehensive and updated review of epidemiology. Cardiovasc Res. 2023; 118:3272–3287. Savarese G Becher PM Lund LH Seferovic P Rosano GMC Coats AJS. Global burden of heart failure: A comprehensive and updated review of epidemiology . Cardiovasc Res . 2023 ; 118 : 3272 3287 . Search in Google Scholar

Rørth R, Jhund PS, Yilmaz MB, Kristensen SL, Welsh P, Desai AS, Køber L, Prescott MF, Rouleau JL, Solomon SD, Swedberg K, Zile MR, Packer M, McMurray JJV. Comparison of BNP and NT-proBNP in Patients with Heart Failure and Reduced Ejection Fraction. Circ Heart Fail. 2020; 13(2):e006541. Rørth R Jhund PS Yilmaz MB Kristensen SL Welsh P Desai AS Køber L Prescott MF Rouleau JL Solomon SD Swedberg K Zile MR Packer M McMurray JJV. Comparison of BNP and NT-proBNP in Patients with Heart Failure and Reduced Ejection Fraction . Circ Heart Fail . 2020 ; 13 ( 2 ) :e006541. Search in Google Scholar

Metra M, Tomasoni D, Adamo M, Bayes-Genis A, Filippatos G, Abdelhamid M, Adamopoulos S, Anker SD, Antohi L, Böhm M, Braunschweig F, Gal TB, Butler J, Cleland JGF, Cohen-Solal A, Damman K, Gustafsson F, Hill L, Jankowska EA, Lainscak M, Lund LH, McDonagh T, Mebazaa A, Moura B, Mullens W, Piepoli M, Ponikowski P, Rakisheva A, Ristic A, Savarese G, Seferovic P, Sharma R, Tocchetti CG, Yilmaz MB, Vitale C, Volterrani M, von Haehling S, Chioncel O, Coats AJS, Rosano G. Worsening of chronic heart failure: Definition, epidemiology, management and prevention. A clinical consensus statement by the Heart Failure Association of the European Society of Cardiology. Eur J Heart Fail. 2023; 25(6):776-791. Metra M Tomasoni D Adamo M Bayes-Genis A Filippatos G Abdelhamid M Adamopoulos S Anker SD Antohi L Böhm M Braunschweig F Gal TB Butler J Cleland JGF Cohen-Solal A Damman K Gustafsson F Hill L Jankowska EA Lainscak M Lund LH McDonagh T Mebazaa A Moura B Mullens W Piepoli M Ponikowski P Rakisheva A Ristic A Savarese G Seferovic P Sharma R Tocchetti CG Yilmaz MB Vitale C Volterrani M von Haehling S Chioncel O Coats AJS Rosano G. Worsening of chronic heart failure: Definition, epidemiology, management and prevention. A clinical consensus statement by the Heart Failure Association of the European Society of Cardiology . Eur J Heart Fail . 2023 ; 25 ( 6 ): 776 - 791 . Search in Google Scholar

An Y, Wang Q, Wang H, Zhang N, Zhang F. Clinical significance of sFRP5, RBP-4, and NT-proBNP in patients with chronic heart failure. Am J Transl Res. 2021; 13:6305–6311. An Y Wang Q Wang H Zhang N Zhang F. Clinical significance of sFRP5, RBP-4, and NT-proBNP in patients with chronic heart failure . Am J Transl Res . 2021 ; 13 : 6305 6311 . Search in Google Scholar

Di Cesare E, Carerj S, Palmisano A, Carerj ML, Catapano F, Vignale D, Di Cesare A, Milanese G, Sverzellati N, Francone M, Esposito A. Multimodality imaging in chronic heart failure. Radiol Med. 2021; 126(2):231-242. Di Cesare E Carerj S Palmisano A Carerj ML Catapano F Vignale D Di Cesare A Milanese G Sverzellati N Francone M Esposito A. Multimodality imaging in chronic heart failure . Radiol Med . 2021 ; 126 ( 2 ): 231 - 242 . Search in Google Scholar

Mele D, Andrade A, Bettencourt P, Moura B, Pestelli G, Ferrari R. From left ventricular ejection fraction to cardiac hemodynamics: role of echocardiography in evaluating patients with heart failure. Heart Fail Rev. 2020; 25(2):217-230. Mele D Andrade A Bettencourt P Moura B Pestelli G Ferrari R. From left ventricular ejection fraction to cardiac hemodynamics: role of echocardiography in evaluating patients with heart failure . Heart Fail Rev . 2020 ; 25 ( 2 ): 217 - 230 . Search in Google Scholar

Pastore MC, Mandoli GE, Aboumarie HS, Santoro C, Bandera F, D’Andrea A, Benfari G, Esposito R, Evola V, Sorrentino R, Cameli P, Valente S, Mondillo S, Galderisi M, Cameli M, Working Group of Echocardiography of the Italian Society of Cardiology. Basic and advanced echocardiography in advanced heart failure: an overview. Heart Fail Rev. 2020; 25(6):937-948. Pastore MC Mandoli GE Aboumarie HS Santoro C Bandera F D’Andrea A Benfari G Esposito R Evola V Sorrentino R Cameli P Valente S Mondillo S Galderisi M Cameli M Working Group of Echocardiography of the Italian Society of Cardiology . Basic and advanced echocardiography in advanced heart failure: an overview . Heart Fail Rev . 2020 ; 25 ( 6 ): 937 - 948 . Search in Google Scholar

Toufan M, Kazemi B, Akbarzadeh F, Ataei A, Khalili M. Assessment of electrocardiography, echocardiography, and heart rate variability in dynamic and static type athletes. Int J Gen Med. 2012; 5:655-60. Toufan M Kazemi B Akbarzadeh F Ataei A Khalili M. Assessment of electrocardiography, echocardiography, and heart rate variability in dynamic and static type athletes . Int J Gen Med . 2012 ; 5 : 655 - 60 . Search in Google Scholar

Stoyell-Conti FF, Santos F, Machi JF, Hernandez DR, Barboza CA, Irigoyen MC, De Angelis K, Morris M. Measurement of Mouse Heart Rate Variability using Echocardiographic System. J Cardiovasc Echogr. 2018; 28(2):90-94. Stoyell-Conti FF Santos F Machi JF Hernandez DR Barboza CA Irigoyen MC De Angelis K Morris M. Measurement of Mouse Heart Rate Variability using Echocardiographic System . J Cardiovasc Echogr . 2018 ; 28 ( 2 ): 90 - 94 . Search in Google Scholar

Silva LEV, Moreira HT, Bernardo MMM, Schmidt A, Romano MMD, Salgado HC, Fazan R, Tinós R, Marin-Neto A. Prediction of echocardiographic parameters in Chagas disease using heart rate variability and machine learning. Biomed Signal Process Control. 2021; 67:102513. Silva LEV Moreira HT Bernardo MMM Schmidt A Romano MMD Salgado HC Fazan R Tinós R Marin-Neto A. Prediction of echocardiographic parameters in Chagas disease using heart rate variability and machine learning . Biomed Signal Process Control . 2021 ; 67 : 102513 . Search in Google Scholar

Yu CM, Lin H, Ho PC, Yang H. Assessment of left and right ventricular systolic and diastolic synchronicity in normal subjects by tissue Doppler echocardiography and the effects of age and heart rate. Echocardiography. 2003; 20(1):19-27. Yu CM Lin H Ho PC Yang H. Assessment of left and right ventricular systolic and diastolic synchronicity in normal subjects by tissue Doppler echocardiography and the effects of age and heart rate . Echocardiography . 2003 ; 20 ( 1 ): 19 - 27 . Search in Google Scholar

Petelczyc M, Zebrowski JJ, Baranowski R, Chojnowska L. Stochastic analysis of heart rate variability and its relation to echocardiography parameters in hypertrophic cardiomyopathy patients. Physiol Meas. 2010; 31(12):1635-49. Petelczyc M Zebrowski JJ Baranowski R Chojnowska L. Stochastic analysis of heart rate variability and its relation to echocardiography parameters in hypertrophic cardiomyopathy patients . Physiol Meas . 2010 ; 31 ( 12 ): 1635 - 49 . Search in Google Scholar

Al-Zaiti SS, Pietrasik G, Carey MG, Alhamaydeh M, Canty JM, Fallavollita JA. The role of heart rate variability, heart rate turbulence, and deceleration capacity in predicting cause-specific mortality in chronic heart failure. J Electrocardiol. 2019; 52:70-74. Al-Zaiti SS Pietrasik G Carey MG Alhamaydeh M Canty JM Fallavollita JA. The role of heart rate variability, heart rate turbulence, and deceleration capacity in predicting cause-specific mortality in chronic heart failure . J Electrocardiol . 2019 ; 52 : 70 - 74 . Search in Google Scholar

Yin DC, Wang ZJ, Guo S, Xie HY, Sun L, Feng W, Qiu W, Qu XF. Prognostic significance of heart rate turbulence parameters in patients with chronic heart failure. BMC Cardiovasc. Disord. 2014; 14:50. Yin DC Wang ZJ Guo S Xie HY Sun L Feng W Qiu W Qu XF. Prognostic significance of heart rate turbulence parameters in patients with chronic heart failure . BMC Cardiovasc. Disord . 2014 ; 14 : 50 . Search in Google Scholar

Zeid S, Buch G, Velmeden D, Söhne J, Schulz A, Schuch A, Tröbs SO, Heidorn MW, Müller F, Strauch K, Coboeken K, Lackner KJ, Gori T, Münzel T, Prochaska JH, Wild PS. Heart rate variability: Reference values and role for clinical profile and mortality in individuals with heart failure. Clin Res Cardiol. 2023. Zeid S Buch G Velmeden D Söhne J Schulz A Schuch A Tröbs SO Heidorn MW Müller F Strauch K Coboeken K Lackner KJ Gori T Münzel T Prochaska JH Wild PS. Heart rate variability: Reference values and role for clinical profile and mortality in individuals with heart failure . Clin Res Cardiol . 2023 . Search in Google Scholar

Hu W, Jin X, Zhang P, Yu Q, Yin G, Lu Y, Xiao H, Chen Y, Zhang D. Deceleration and acceleration capacities of heart rate associated with heart failure with high discriminating performance. Sci. Rep. 2016; 6:23617. Hu W Jin X Zhang P Yu Q Yin G Lu Y Xiao H Chen Y Zhang D. Deceleration and acceleration capacities of heart rate associated with heart failure with high discriminating performance . Sci. Rep . 2016 ; 6 : 23617 . Search in Google Scholar

Ricca-Mallada R, Migliaro ER, Piskorski J, Guzik P. Exercise training slows down heart rate and improves deceleration and acceleration capacity in patients with heart failure. J Electrocardiol. 2012; 45:214–219. Ricca-Mallada R Migliaro ER Piskorski J Guzik P. Exercise training slows down heart rate and improves deceleration and acceleration capacity in patients with heart failure . J Electrocardiol . 2012 ; 45 : 214 219 . Search in Google Scholar

Zou C, Dong H, Wang F, Gao M, Huang X, Jin J, Zhou B, Yang X. Heart acceleration and deceleration capacities associated with dilated cardiomyopathy. Eur J Clin. Investig. 2016; 46:312–320. Zou C Dong H Wang F Gao M Huang X Jin J Zhou B Yang X. Heart acceleration and deceleration capacities associated with dilated cardiomyopathy . Eur J Clin. Investig . 2016 ; 46 : 312 320 . Search in Google Scholar

Demming T, Sandrock S, Kuhn C, Kotzott, L, Tahmaz, N, Bonnemeier H. Deceleration capacity: A novel predictor for total mortality in patients with non-ischemic dilated cardiomyopathy. Int J Cardiol. 2016; 221:289–293. Demming T Sandrock S Kuhn C Kotzott L Tahmaz N Bonnemeier H. Deceleration capacity: A novel predictor for total mortality in patients with non-ischemic dilated cardiomyopathy . Int J Cardiol . 2016 ; 221 : 289 293 . Search in Google Scholar

Guzik P, Piskorski J, Barthel P, Bauer A, Müller A, Junk N, Ulm K, Malik M, Schmidt G. Heart rate deceleration runs for postinfarction risk prediction. J Electrocardiol. 2012; 45:70–76. Guzik P Piskorski J Barthel P Bauer A Müller A Junk N Ulm K Malik M Schmidt G. Heart rate deceleration runs for postinfarction risk prediction . J Electrocardiol . 2012 ; 45 : 70 76 . Search in Google Scholar

Yadav RL, Yadav PK, Yadav LK, Agrawal K, Sah SK, Islam MN. Association between obesity and heart rate variability indices: An intuition toward cardiac autonomic alteration—A risk of CVD. Diabetes Metab Syndr Obes. 2017; 10:57–64. Yadav RL Yadav PK Yadav LK Agrawal K Sah SK Islam MN. Association between obesity and heart rate variability indices: An intuition toward cardiac autonomic alteration—A risk of CVD . Diabetes Metab Syndr Obes . 2017 ; 10 : 57 64 . Search in Google Scholar

Cygankiewicz I, Zareba W, de Luna A.B. Prognostic value of Holter monitoring in congestive heart failure. Cardiol J. 2008; 15:313–323. Cygankiewicz I Zareba W de Luna A.B. Prognostic value of Holter monitoring in congestive heart failure . Cardiol J . 2008 ; 15 : 313 323 . Search in Google Scholar

Palacios S, Cygankiewicz I, Bayés de Luna A, Pueyo E, Martínez JP. Periodic repolarization dynamics as a predictor of the risk for sudden cardiac death in chronic heart failure patients. Sci Rep. 2021; 11:20546. Palacios S Cygankiewicz I Bayés de Luna A Pueyo E Martínez JP. Periodic repolarization dynamics as a predictor of the risk for sudden cardiac death in chronic heart failure patients . Sci Rep . 2021 ; 11 : 20546 . Search in Google Scholar

Seferović PM, Petrie MC, Filippatos GS, Anker SD, Rosano G, Bauersachs J, Paulus WJ, Komajda M, Cosentino F, de Boer RA, Farmakis D, Doehner W, Lambrinou E, Lopatin Y, Piepoli MF, Theodorakis MJ, Wiggers H, Lekakis J, Mebazaa A, Mamas MA, Tschöpe C, Hoes AW, Seferović JP, Logue J, McDonagh T, Riley JP, Milinković I, Polovina M, van Veldhuisen DJ, Lainscak M, Maggioni AP, Ruschitzka F, McMurray JJV. Type 2 diabetes mellitus and heart failure: a position statement from the Heart Failure Association of the European Society of Cardiology. Eur J Heart Fail. 2018; 20(5):853-872. Seferović PM Petrie MC Filippatos GS Anker SD Rosano G Bauersachs J Paulus WJ Komajda M Cosentino F de Boer RA Farmakis D Doehner W Lambrinou E Lopatin Y Piepoli MF Theodorakis MJ Wiggers H Lekakis J Mebazaa A Mamas MA Tschöpe C Hoes AW Seferović JP Logue J McDonagh T Riley JP Milinković I Polovina M van Veldhuisen DJ Lainscak M Maggioni AP Ruschitzka F McMurray JJV. Type 2 diabetes mellitus and heart failure: a position statement from the Heart Failure Association of the European Society of Cardiology . Eur J Heart Fail . 2018 ; 20 ( 5 ): 853 - 872 . Search in Google Scholar

Arsenos P, Manis G, Gatzoulis KA, Dilaveris P, Gialernios T, Angelis A, Papadopoulos A, Venieri E, Trikas A, Tousoulis D. Deceleration Capacity of Heart Rate Predicts Arrhythmic and Total Mortality in Heart Failure Patients. Ann Noninvasive Electrocardiol. 2016; 21(5):508-18. Arsenos P Manis G Gatzoulis KA Dilaveris P Gialernios T Angelis A Papadopoulos A Venieri E Trikas A Tousoulis D. Deceleration Capacity of Heart Rate Predicts Arrhythmic and Total Mortality in Heart Failure Patients . Ann Noninvasive Electrocardiol . 2016 ; 21 ( 5 ): 508 - 18 . Search in Google Scholar

Elstad M, Walløe L, Chon KH, Toska K. Low-frequency fluctuations in heart rate, cardiac output and mean arterial pressure in humans: what are the physiological relationships? J Hypertens. 2011; 29(7):1327-36. Elstad M Walløe L Chon KH Toska K. Low-frequency fluctuations in heart rate, cardiac output and mean arterial pressure in humans: what are the physiological relationships? J Hypertens . 2011 ; 29 ( 7 ): 1327 - 36 . Search in Google Scholar

Cao P, Ye B, Yang L, Lu F, Fang L, Cai G, Su Q, Ning G, Pan Q. Preprocessing Unevenly Sampled RR Interval Signals to Enhance Estimation of Heart Rate Deceleration and Acceleration Capacities in Discriminating Chronic Heart Failure Patients from Healthy Controls. Comput Math Methods Med. 2020; 2020:9763826. Cao P Ye B Yang L Lu F Fang L Cai G Su Q Ning G Pan Q. Preprocessing Unevenly Sampled RR Interval Signals to Enhance Estimation of Heart Rate Deceleration and Acceleration Capacities in Discriminating Chronic Heart Failure Patients from Healthy Controls . Comput Math Methods Med . 2020 ; 2020 : 9763826 . Search in Google Scholar

Shah MA, Soofi MA, Jafary Z, Alhomrani A, Alsmadi F, Wani TA, Bajwa IA. Echocardiographic parameters associated with recovery in heart failure with reduced ejection fraction. Echocardiography. 2020; 37(10):1574-1582. Shah MA Soofi MA Jafary Z Alhomrani A Alsmadi F Wani TA Bajwa IA. Echocardiographic parameters associated with recovery in heart failure with reduced ejection fraction . Echocardiography . 2020 ; 37 ( 10 ): 1574 - 1582 . Search in Google Scholar

Shaffer F, Ginsberg JP. An Overview of Heart Rate Variability Metrics and Norms. Front Public Health. 2017 Sep 28;5:258. Shaffer F Ginsberg JP. An Overview of Heart Rate Variability Metrics and Norms . Front Public Health . 2017 Sep 28 ; 5 : 258 . Search in Google Scholar

Quintana DS, Heathers JA, Kemp AH. On the validity of using the Polar RS800 heart rate monitor for heart rate variability research. Eur J Appl Physiol. 2012 Dec;112(12):4179-80. Quintana DS Heathers JA Kemp AH. On the validity of using the Polar RS800 heart rate monitor for heart rate variability research . Eur J Appl Physiol . 2012 Dec ; 112 ( 12 ): 4179 - 80 . Search in Google Scholar

Billman GE. The effect of heart rate on the heart rate variability response to autonomic interventions. Front Physiol. 2013 Aug 26;4:222. Billman GE. The effect of heart rate on the heart rate variability response to autonomic interventions . Front Physiol . 2013 Aug 26 ; 4 : 222 . Search in Google Scholar

Xu YH, Wang XD, Yang JJ, Zhou L, Pan YC. Changes of deceleration and acceleration capacity of heart rate in patients with acute hemispheric ischemic stroke. Clin Interv Aging. 2016; 11:293-8. Xu YH Wang XD Yang JJ Zhou L Pan YC. Changes of deceleration and acceleration capacity of heart rate in patients with acute hemispheric ischemic stroke . Clin Interv Aging . 2016 ; 11 : 293 - 8 . Search in Google Scholar

Alkhodari M, Islayem D, Alskafi F, Khandoker A. Predicting hypertensive patients with higher risk of developing vascular events using heart rate variability and machine learning. IEEE Access 2020;8:192727–192739. Alkhodari M Islayem D Alskafi F Khandoker A. Predicting hypertensive patients with higher risk of developing vascular events using heart rate variability and machine learning . IEEE Access 2020 ; 8 : 192727 192739 . Search in Google Scholar

Birand A, Kudaiberdieva GZ, Batyraliev TA, Akgül F, Saliu S. Relationship Between Components of Heart Rate Variability and Doppler Echocardiographic Indices of Left Ventricular Systolic Performance in Patients with Coronary Artery Disease. Int J Angiol. 1998; 7(3):244-8. Birand A Kudaiberdieva GZ Batyraliev TA Akgül F Saliu S. Relationship Between Components of Heart Rate Variability and Doppler Echocardiographic Indices of Left Ventricular Systolic Performance in Patients with Coronary Artery Disease . Int J Angiol . 1998 ; 7 ( 3 ): 244 - 8 . Search in Google Scholar

Isler Y. Discrimination of systolic and diastolic dysfunctions using multi-layer perceptron in heart rate variability analysis. Comput Biol Med. 2016; 76:113-9. Isler Y. Discrimination of systolic and diastolic dysfunctions using multi-layer perceptron in heart rate variability analysis . Comput Biol Med . 2016 ; 76 : 113 - 9 . Search in Google Scholar

Arshi B, Geurts S, Tilly MJ, van den Berg M, Kors JA, Rizopoulos D, Ikram MA, Kavousi M. Heart rate variability is associated with left ventricular systolic, diastolic function and incident heart failure in the general population. BMC Med. 2022; 20(1):91. Arshi B Geurts S Tilly MJ van den Berg M Kors JA Rizopoulos D Ikram MA Kavousi M. Heart rate variability is associated with left ventricular systolic, diastolic function and incident heart failure in the general population . BMC Med . 2022 ; 20 ( 1 ): 91 . Search in Google Scholar

Poanta L, Porojan M, Dumitrascu DL. Heart rate variability and diastolic dysfunction in patients with type 2 diabetes mellitus. Acta Diabetol. 2011; 48(3):191-6. Poanta L Porojan M Dumitrascu DL. Heart rate variability and diastolic dysfunction in patients with type 2 diabetes mellitus . Acta Diabetol . 2011 ; 48 ( 3 ): 191 - 6 . Search in Google Scholar

Arora R, Krummerman A, Vijayaraman P, Rosengarten M, Suryadevara V, Lejemtel T, Ferrick KJ. Heart rate variability and diastolic heart failure. Pacing Clin Electrophysiol. 2004; 27(3):299-303. Arora R Krummerman A Vijayaraman P Rosengarten M Suryadevara V Lejemtel T Ferrick KJ. Heart rate variability and diastolic heart failure . Pacing Clin Electrophysiol . 2004 ; 27 ( 3 ): 299 - 303 . Search in Google Scholar

Choi J, Lee S, Chang M, Lee Y, Oh GC, Lee HY. Deep learning of ECG waveforms for diagnosis of heart failure with a reduced left ventricular ejection fraction. Sci Rep. 2022; 12(1):14235. Choi J Lee S Chang M Lee Y Oh GC Lee HY. Deep learning of ECG waveforms for diagnosis of heart failure with a reduced left ventricular ejection fraction . Sci Rep . 2022 ; 12 ( 1 ): 14235 . Search in Google Scholar

Hämmerle P, Eick C, Blum S, Schlageter V, Bauer A, Rizas KD, Eken C, Coslovsky M, Aeschbacher S, Krisai P, Meyre P, Vesin JM, Rodondi N, Moutzouri E, Beer J, Moschovitis G, Kobza R, Di Valentino M, Corino VDA, Laureanti R, Mainardi L, Bonati LH, Sticherling C, Conen D, Osswald S, Kühne M, Zuern CS, Swiss-AF Study Investigators. Heart rate variability triangular index as a predictor of cardiovascular mortality in patients with atrial fibrillation. J Am Heart Assoc. 2020; 9(15):e016075. ‘ Hämmerle P Eick C Blum S Schlageter V Bauer A Rizas KD Eken C Coslovsky M Aeschbacher S Krisai P Meyre P Vesin JM Rodondi N Moutzouri E Beer J Moschovitis G Kobza R Di Valentino M Corino VDA Laureanti R Mainardi L Bonati LH Sticherling C Conen D Osswald S Kühne M Zuern CS Swiss-AF Study Investigators . Heart rate variability triangular index as a predictor of cardiovascular mortality in patients with atrial fibrillation . J Am Heart Assoc . 2020 ; 9 ( 15 ) :e016075. ‘ Search in Google Scholar

Seferović PM, Petrie MC, Filippatos GS, Anker SD, Rosano G, Bauersachs J, Paulus WJ, Komajda M, Cosentino F, de Boer RA, Farmakis D, Denhner W, Lambrinou E, Lopatin Y, Piepoli MF, Theodorakis MJ, Wiggers H, Lekakis J, Mebazaa A, Mamas MA, Tschöpe C, Hoes AW, Seferović JP, Logue J, McDonagh T, Riley JP, Milinković I, Polovina M, van Veldhuisen DJ, Lainscak M, Maggioni AP, Ruschitzka F, McMurray JJV. Type 2 diabetes mellitus and heart failure: a position statement from the Heart Failure Association of the European Society of Cardiology. Eur J Heart Fail. 2018; 20(5):853-872. Seferović PM Petrie MC Filippatos GS Anker SD Rosano G Bauersachs J Paulus WJ Komajda M Cosentino F de Boer RA Farmakis D Denhner W Lambrinou E Lopatin Y Piepoli MF Theodorakis MJ Wiggers H Lekakis J Mebazaa A Mamas MA Tschöpe C Hoes AW Seferović JP Logue J McDonagh T Riley JP Milinković I Polovina M van Veldhuisen DJ Lainscak M Maggioni AP Ruschitzka F McMurray JJV. Type 2 diabetes mellitus and heart failure: a position statement from the Heart Failure Association of the European Society of Cardiology . Eur J Heart Fail . 2018 ; 20 ( 5 ): 853 - 872 . Search in Google Scholar

Correale M, Paolillo S, Mercurio V, Ruocco G, Tocchetti CG, Palazzuoli A. Non-cardiovascular comorbidities in heart failure patients and their impact on prognosis. Kardiol Pol. 2021; 79(5):493-502. Correale M Paolillo S Mercurio V Ruocco G Tocchetti CG Palazzuoli A. Non-cardiovascular comorbidities in heart failure patients and their impact on prognosis . Kardiol Pol . 2021 ; 79 ( 5 ): 493 - 502 . Search in Google Scholar

Avula NR, Dighe T, Sajgure A, Bale C, Wakhare P. Evaluation of role of heart rate variability with Holter monitoring in chronic kidney disease. Int J Res Med Sci. 2020; 8:2188-2194. Avula NR Dighe T Sajgure A Bale C Wakhare P. Evaluation of role of heart rate variability with Holter monitoring in chronic kidney disease . Int J Res Med Sci . 2020 ; 8 : 2188 - 2194 . Search in Google Scholar

Parsi A, Glavin M, Jones E, Byrne D. Prediction of paroxysmal atrial fibrillation using new heart rate variability features. Comput Biol Med. 2021; 133:104367. Parsi A Glavin M Jones E Byrne D. Prediction of paroxysmal atrial fibrillation using new heart rate variability features . Comput Biol Med . 2021 ; 133 : 104367 . Search in Google Scholar

Chang A, Cadaret LM, Liu K. Machine learning in electrocardiography and echocardiography: technological advances in clinical cardiology. Curr Cardiol Rep. 2020; 22(12):161. Chang A Cadaret LM Liu K. Machine learning in electrocardiography and echocardiography: technological advances in clinical cardiology . Curr Cardiol Rep . 2020 ; 22 ( 12 ): 161 . Search in Google Scholar

Adler ED, Voors AA, Klein L, Macheret F, Braun OO, Urey MA, Zhu W, Sama I, Tadel M, Campagnari C, Greenberg B, Yagil A. Improving risk prediction in heart failure using machine learning. Eur J Heart Fail. 2020; 22(1):139-147. Adler ED Voors AA Klein L Macheret F Braun OO Urey MA Zhu W Sama I Tadel M Campagnari C Greenberg B Yagil A. Improving risk prediction in heart failure using machine learning . Eur J Heart Fail . 2020 ; 22 ( 1 ): 139 - 147 . Search in Google Scholar

Jing L, Ulloa Cerna AE, Good CW, Sauers NM, Schneider G, Hartzel DN, Leader JB, Kirchner HL, Hu Y, Riviello DM, Stough JV, Gazes S, Haggerty A, Raghunath S, Carry BJ, Haggerty CM, Fornwalt BK. A machine learning approach to management of heart failure populations. JACC Heart Fail. 2020; 8(7):578-587. Jing L Ulloa Cerna AE Good CW Sauers NM Schneider G Hartzel DN Leader JB Kirchner HL Hu Y Riviello DM Stough JV Gazes S Haggerty A Raghunath S Carry BJ Haggerty CM Fornwalt BK. A machine learning approach to management of heart failure populations . JACC Heart Fail . 2020 ; 8 ( 7 ): 578 - 587 . Search in Google Scholar

Olsen CR, Mentz RJ, Anstrom KJ, Page D, Patel PA. Clinical applications of machine learning in the diagnosis, classification, and prediction of heart failure. Am Heart J. 2020; 229:1-17. Olsen CR Mentz RJ Anstrom KJ Page D Patel PA. Clinical applications of machine learning in the diagnosis, classification, and prediction of heart failure . Am Heart J . 2020 ; 229 : 1 - 17 . Search in Google Scholar

Plati DK, Tripoliti EE, Bechlioulis A, Rammos A, Dimou I, Lakkas L, Watson C, McDonald K, Ledwidge M, Pharithi R, Gallagher J, Michalis LK, Goletsis Y, Naka KK, Fotiadis DI. A machine learning approach for chronic heart failure diagnosis. Diagnostics (Basel). 2021 Oct 10; 11(10):1863. Plati DK Tripoliti EE Bechlioulis A Rammos A Dimou I Lakkas L Watson C McDonald K Ledwidge M Pharithi R Gallagher J Michalis LK Goletsis Y Naka KK Fotiadis DI. A machine learning approach for chronic heart failure diagnosis . Diagnostics (Basel) . 2021 Oct 10 ; 11 ( 10 ): 1863 . Search in Google Scholar

Porumb M, Iadanza E, Massaro S, Pecchia L. A convolutional neural network approach to detect congestive heart failure. Biomed Signal Process Control. 2020; 55. Porumb M Iadanza E Massaro S Pecchia L. A convolutional neural network approach to detect congestive heart failure . Biomed Signal Process Control . 2020 ; 55 . Search in Google Scholar

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