Bibliografia

HeartLogic

Articoli
– Santini L, D’Onofrio A, Dello Russo A, et al. Prospective evaluation of the multisensor HeartLogic algorithm for heart failure monitoring. Clinical Cardiology 2020; 10.1002/clc.23366.
– Calò L, Capucci A, Santini L, et al. ICD-measured heart sounds and their correlation with echocardiographic indexes of systolic and diastolic function. Journal of Interventional Cardiac Electrophysiology 2019. https://doi.org/10.1007/s10840-019-00668-y
– Capucci A, Santini L, Favale S, et al. Preliminary experience with the multisensor HeartLogic algorithm for heart failure monitoring: a retrospective case series report. ESC Heart Failure 2019; DOI: 10.1002/ehf2.12394
– Boehmer et al. “Rationale and Design of the Multisensor Chronic Evaluations in Ambulatory Heart Failure Patients (MultiSENSE) Study”, J of innovations in CRM, 2015
– Boehmer et al. “A Multisensor Algorithm Predicts Heart Failure Events in Patients with Implanted Devices: Results from the MultiSENSE Study” JACC Heart Fail. 2017;5(3):216-25.
– Whellan, D.J. & Lindenfeld, J. “Easy to Predict, Difficult to Prevent” JACC 2017 (Editorial comment)
– Gardner et al. “HeartLogic Multisensor Algorithm Identifies Patients During Periods of Significantly Increased Risk of Heart Failure Events Results From the MultiSENSE Study” Circ Heart Fail. 2018;11
– Santini et al. “Preliminary experience with a novel Multisensor algorithm for heart failure monitoring: The HeartLogic index”; Clin Case Rep. 2018;6:1317–1320.
– Gardner et al. HeartLogic Multisensor Algorithm Identifies Patients During Periods of Significantly Increased Risk of Heart Failure Events Results From the MultiSENSE Study. Circulation: Heart Failure 2018; 11: e004669.

Abstract
– Pecora, Tavoletta, Dello Russo et al, Remote monitoring of Heart Failure patients with a Multisensor ICD Algorithm: value of an alert-based follow-up strategy; EP Europace, Volume 22, Issue Supplement_1, June 2020
– Santini, Bianchi, Dello Russo et al, Performance of a multisensor icd algorithm in heart failure patient management; EP Europace, Volume 22, Issue Supplement_1, June 2020
– Santobuono, D’Onofrio, Dello Russo et al,  Prospective evaluation of the MultisensorICD Algorithm for Heart Failure Monitoring; European Journal of Heart Failure (2020) 22 (Suppl. S1) 2–415
– De Juan Baguda, Gavira Gomez, Pachon Iglesias et al., Preliminary results of the Spanish multicentric HeartLogic (RE-HEART) Registry: a blinded analysis; European Journal of Heart Failure (2020) 22 (Suppl. S1) 2–415
– De Juan Baguda, Gavira Gomez, Pachon Iglesias et al., Preliminary results of the Spanish multicentric HeartLogic (RE-HEART) Registry: adoption of an alert-based heart failure management approach; European Journal of Heart Failure (2020) 22 (Suppl. S1) 2–415
– Gardner, Molon, Ghezeng, Comparison of NT-proBNP concentrations when IN or OUT of HeartLogic alerts; European Journal of Heart Failure (2020) 22 (Suppl. S1) 2–415
– Capucci et al. “Atrial arrhythmia burden increases prior to worsening heart failure events” Heart Rhythm 2017 C-PO02-178
– Gardner et al. “Heart failure diagnostic sensor measurements during clinically stable epochs in ambulatory heart failure patients” European Jof Heart Failure 2017 P1132
– Hariharan et al. “Heart Failure diagnostic sensor measurements change during atrial arrhythmias” Heart Rhythm 2017 C-PO04-190
– Boehmer et al. “Physiologic sensor response to activity level in the MultiSENSE Study” J of Cardiac Failure 2011 S105-P340 & EU J of Heart Failure 2013 S194-5
– Boehmer et al. “Quantifying circadian variation of multiple physiologic signals in ambulatory heart failure patients” J of Cardiac Failure 2012 S90-P294 & EU Heart J 2012 Sup1-P162
– Boehmer et al.” The HeartLogic Multi-Sensor Algorithm Significantly Augments the Prognosis of a Baseline NT-proBNP Assessment for Heart Failure Events” J Card Fail. 2017; 23(11):831
– Boehmer et al. “Heart Failure Diagnostics Sensor Measurements Change Prior to Heart Failure Decompensation Events” J Card Fail. 2017;2(8):S65
– Boehmer et al. “Impact of body mass index on device measured diagnostic sensor measurements in ambulatory heart failure patients” European Journal of Heart Failure, 20 (Suppl. S1), 5–638; P324
– Boehmer et al. “Impact of ethnic groups on device based diagnostic sensor measurements in ambulatory heart failure patients“ European Journal of Heart Failure, 20 (Suppl. S1), 5–638; P1035

Toni cardiaci

Articoli
Cao M, Gardner RS, Hariharan R, et al. Ambulatory Monitoring of Heart Sounds via an Implanted Device Is Superior to Auscultation for Prediction of Heart Failure Events. Journal of Cardiac Failure 2020; 26(2): 151-159.
– Siejko et al. “Feasibility of Heart Sounds Measurements from an Accelerometer within an ICD Pulse -Generator”. Pacing Clin Electrophysiol. 2013;36(3):334-46
– Thakur et al. “Haemodynamic Monitoring of Cardiac Status Using Heart Sounds from an Implanted Cardiac Device” ESC Heart Fail. 2017;4(4):605-13

Abstract
– Klodas et al. “Third Heart Sound Measured by Implanted Accelerometer in Heart Failure Patients is Coincident with the Deceleration Phase of Early Diastolic Filling” J Card Fail. 2017;23(8):S68-S9
– Gardner et al. “Ambulatory S3 Measured by an Implanted Device Changes Consistently with Echocardiography in Stable and Acute Decompensated Heart Failure” J Card Fail. 2017;23(8):S64
– Cao et al. “Device-measured Third Heart Sound Predicts Heart Failure Events Better than Auscultated Third Heart Sound” EP Europace. 2017;19(Suppl 3):iii332-iii3
– Cao et al. “Heart Sound Amplitudes Measured by Accelerometer Reflect Auscultated S3 Heart Sound Volume Grades” Circulation 2017;136:A16050
– Klodas et al. “S3 Amplitude Measured Using a CRT-D Is Correlated to Echocardiographic Filling Parameters in Heart Failure Patients” J Card Fail. 2013;19(8):S67
– Boehmer et al. “Third heart sound during atrial fibrillation? Confirming the existence of cardiac vibrations during deceleration phase of early diastolic filling while in atrial fibrillation” European Journal of Heart Failure, 20 (Suppl. S1), 5–638; P1034

Respirazione

Articoli
– Goetze et al. “Ambulatory Respiratory Rate Trends Identify Patients at Higher Risk of Worsening Heart Failure in Implantable Cardioverter Defibrillator and Biventricular Device Recipients: A Novel Ambulatory Parameter to Optimize Heart Failure Management” J Interv Card Electrophysiol. 2015;43(1):21-9
– Forleo et al. “Long-term monitoring of respiratory rate in patients with heart failure: the Multiparametric Heart Failure Evaluation in Implantable Cardioverter-Defibrillator Patients (MULTITUDE-HF) study” J Interv Card Electrophysiol 2015; 43 (2): 135-44

Abstract
– Aktas et al. “Patients with Elevated Respiratory Rates are at Higher Risk of Heart Failure Events in 30 Days” Heart Rhythm. 2016;13(5):S270
– Boehmer JP et al. “Variation in Daily Median Respiratory Rate Identifies Patients at Higher Risk of Worsening HF in 30 Days” Heart Rhythm. 2013;10(5):S66
– Capucci et al. “Rapid shallow breathing worsens prior to heart failure decompensation” European Heart Journal 2014, P3695
– Hatlestad et al. “Accuracy of Respiration Rate Trends from an Implanted CRM Device” J of Cardiac Failure 2008 P053
– Rials et al. “Device-Measured Rapid Shallow Breathing With Exertion Worsens Prior to Heart Failure Decompensation” European Heart Journal 2015 P169
– Aktas et al. “Patients with Elevated Respiratory Rate are at Higher Risk of Heart Failure Events in 30 Days” Heart Rhythm 2016; 13(5): S270, PO03-48
– Lindenfeld et al. “Readmissions or death are more likely when device-derived rapid shallow breathing index worsens during heart failure hospitalization“ European Journal of Heart Failure, 20 (Suppl. S1), 5–638; P1851
– Boehmer et al. “Device measured rapid shallow breathing index reflects changing respiratory patterns but minute ventilation reflects changing activity during worsening heart failure in ambulatory patients“ European Journal of Heart Failure, 20 (Suppl. S1), 5–638; 2081
– Boehmer et al. “Device measured rapid shallow breathing index and not minute ventilation reflects changes in dyspnea status in ambulatory heart failure patients“ European Journal of Heart Failure, 20 (Suppl. S1), 5–638; 2082

Impedenza toracica

Articoli
– Vollmann et al. “Clinical Utility of Intrathoracic Impedance Monitoring to Alert Patients with an Implanted Device of Deteriorating Chronic Heart Failure” Eur Heart J. 2007;28(15):1835-40
– Yu et al. “Intrathoracic Impedance Monitoring in Patients with Heart Failure. Correlation with Fluid Status and Feasibility of Early Warning Preceding Hospitalization” Circulation 2005;112 (6):841-8
– Wang, “Fundamentals of Intrathoracic Impedance Monitoring in Heart Failure” Am J Cardiol. 2007; 99(10A):3G-10G
– Fonarow GC, and ADHERE Scientific Advisory Committee. The Acute Decompensated Heart Failure National Registry (ADHERE): opportunities to improve care of patients hospitalized with acute decompensated heart failure. Rev Cardiovasc Med 2003;4:S21-30

Livello di attività

Articoli
– Rosman et al. “Measuring Physical Activity With Implanted Cardiac Devices: A Systematic Review” J Am Heart Assoc. 2018 May 17;7(11)
– Palmisano et al. “Italian Association of Arrhythmology and Cardiac Pacing (AIAC). Physical Activity Measured by Implanted Devices Predicts Atrial Arrhythmias and Patient Outcome: Results of IMPLANTED (Italian Multicentre Observational Registry on Patients With Implantable Devices Remotely Monitored) J Am Heart Assoc. 2018 Feb 24;7(5)
– Jamé et al. “Predictive value of device-derived activity level for short-term outcomes in MADIT-CRT” Heart Rhythm. 2017 Jul;14(7):1081-1086
– Vegh et al. “Device-measured physical activity versus six-minute walk test as a predictor of reverse remodeling and outcome after cardiac resynchronization therapy for heart failure” Am J Cardiol. 2014 May 1;113(9):1523-8
– Conraads et al. “Physical activity measured with implanted devices predicts patient outcome in chronic heart failure” Circ Heart Fail. 2014 Mar 1;7(2):279-87
– Pressler et al. “Validity of cardiac implantable electronic devices in assessing daily physical activity” Int J Cardiol. 2013 Sep 30;168(2):1127-30

Abstract
– Hariharan et al., “Patients with Reduced Level of Physical Activity are at Higher Risk of Worsening Heart Failure Events in 30 Days” Heart Rhythm. 2016;13(5):S149-S50

Frequenza cardiaca notturna

Articoli
– Fox K, et al. “Resting heart rate in cardiovascular disease” J Amer Cardiol 2007;50:823-830.
– Boehmer JP, et al., “Heart failure diagnostic sensor measurements change prior to heart failure decompensation events” J Card Fail 2017;23(8):S65.
– Fox K et al. on behalf of the BEAUTIFUL investigators. “Heart rate as a prognostic risk factor in patients with coronary artery disease and leftventricular systolic dysfunction (BEAUTIFUL): a subgroup analysis of a randomised controlled trial”. Lancet 2008; 372: 817–21.
– Boriani et al. “Incidence and clinical relevance of uncontrolled ventricular rate during atrial fibrillation in heart failure patients treated with cardiac resynchronization therapy“ European Journal of Heart Failure (2011) 13, 868–876

Abstract
– Gardner RS, et al. “Heart failure diagnostic sensor measurements durin clinically stable epochs in ambulatory heart failure patients” Eur J Heart Fail 2017;19(1):S277,P1132.
– Hatlestad et al., “Night-Time Elevation Angles in MultiSENSE Study are Related to Symptoms of Orthopnea & Paroxysmal Nocturnal Dyspnea” Journal of Cardiac Failure 2012 S8-020

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