BACKGROUND: Atrioventricular (AV) optimization of cardiac resynchronization therapy (CRT) is typically calculated at rest. However, patients often become symptomatic during exercise. OBJECTIVE: In this study, we use acute noninvasive hemodynamics to optimize the AV delay of CRT during exercise and investigate whether this exercise optimum can be predicted from a three-phase resting model. METHODS: In 20 patients with CRT, we adjusted the sensed AV delay while the patient exercised on a treadmill up to a heart rate of 100 bpm to identify the hemodynamically optimal value. Separately, at rest, by pacing with three different configurations and calculating the sensed-paced difference, we calculated an "expected" value for the exercise optimum. RESULTS: It was possible to perform AV delay optimization while a patient exercised. The resting three-phase model correlated well with the actual exercise optimal AV delay (r = 0.85, mean difference +/- standard deviation [SD] = 3.7 +/- 17 ms). Simply using measurements made at rest during atrial-sensed pacing showed a poorer correlation with exercise (r = 0.64, mean difference +/- SD = 2.2 +/- 24 ms). The three-phase resting model allows improved exercise hemodynamics to be achieved. Programming according to the three-phase resting model yields an exercise blood pressure of only 0.5 mmHg (+/-1.4 mmHg; P = NS) less than the true exercise optimum, whereas programming the resting sensed optimum yields an exercise blood pressure of 1.4 mmHg (+/-2.2 mmHg, P = .02) less than the true optimum. CONCLUSIONS: Using acute noninvasive hemodynamics and a protocol of alternations, it is possible to optimize the AV delay of cardiac resynchronization devices even while a patient exercises. In clinical practice, the exercise optimum AV delay could be determined from three phases of resting measurements, without performing exercise.
BACKGROUND:Atrioventricular (AV) optimization of cardiac resynchronization therapy (CRT) is typically calculated at rest. However, patients often become symptomatic during exercise. OBJECTIVE: In this study, we use acute noninvasive hemodynamics to optimize the AV delay of CRT during exercise and investigate whether this exercise optimum can be predicted from a three-phase resting model. METHODS: In 20 patients with CRT, we adjusted the sensed AV delay while the patient exercised on a treadmill up to a heart rate of 100 bpm to identify the hemodynamically optimal value. Separately, at rest, by pacing with three different configurations and calculating the sensed-paced difference, we calculated an "expected" value for the exercise optimum. RESULTS: It was possible to perform AV delay optimization while a patient exercised. The resting three-phase model correlated well with the actual exercise optimal AV delay (r = 0.85, mean difference +/- standard deviation [SD] = 3.7 +/- 17 ms). Simply using measurements made at rest during atrial-sensed pacing showed a poorer correlation with exercise (r = 0.64, mean difference +/- SD = 2.2 +/- 24 ms). The three-phase resting model allows improved exercise hemodynamics to be achieved. Programming according to the three-phase resting model yields an exercise blood pressure of only 0.5 mmHg (+/-1.4 mmHg; P = NS) less than the true exercise optimum, whereas programming the resting sensed optimum yields an exercise blood pressure of 1.4 mmHg (+/-2.2 mmHg, P = .02) less than the true optimum. CONCLUSIONS: Using acute noninvasive hemodynamics and a protocol of alternations, it is possible to optimize the AV delay of cardiac resynchronization devices even while a patient exercises. In clinical practice, the exercise optimum AV delay could be determined from three phases of resting measurements, without performing exercise.
Authors: Kenneth M Stein; Kenneth A Ellenbogen; Michael R Gold; Bernd Lemke; Ignacio Fernández Lozano; Suneet Mittal; Francis G Spinale; Jennifer E Van Eyk; Alan D Waggoner; Timothy E Meyer Journal: Pacing Clin Electrophysiol Date: 2009-10-10 Impact factor: 1.976
Authors: Charlotte H Manisty; Ali Al-Hussaini; Beth Unsworth; Resham Baruah; Punam A Pabari; Jamil Mayet; Alun D Hughes; Zachary I Whinnett; Darrel P Francis Journal: Circ Arrhythm Electrophysiol Date: 2011-11-17
Authors: Andreas Kyriacou; Punam A Pabari; Jamil Mayet; Nicholas S Peters; D Wyn Davies; P Boon Lim; David Lefroy; Alun D Hughes; Prapa Kanagaratnam; Darrel P Francis; Zachary I Whinnett Journal: Int J Cardiol Date: 2013-10-16 Impact factor: 4.164
Authors: Siana Jones; Joost Lumens; S M Afzal Sohaib; Judith A Finegold; Prapa Kanagaratnam; Mark Tanner; Edward Duncan; Philip Moore; Francisco Leyva; Mike Frenneaux; Mark Mason; Alun D Hughes; Darrel P Francis; Zachary I Whinnett Journal: Europace Date: 2017-07-01 Impact factor: 5.214
Authors: Zachary I Whinnett; S M Afzal Sohaib; Siana Jones; Andreas Kyriacou; Katherine March; Emma Coady; Jamil Mayet; Alun D Hughes; Michael Frenneaux; Darrel P Francis Journal: BMC Cardiovasc Disord Date: 2014-04-03 Impact factor: 2.298