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A new algorithm for optimization of rate-adaptive pacing improves exercise tolerance in patients with HFpEF.
Serova, Maria; Andreev, Denis; Giverts, Ilya; Sazonova, Yulia; Svet, Aleksey; Kuklina, Maria; Sedov, Vsevolod; Syrkin, Abram; Saner, Hugo.
  • Serova M; Cardiology Department, I.M. Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russia.
  • Andreev D; City Clinical Hospital No. 4, Moscow, Russia.
  • Giverts I; Cardiology Department, I.M. Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russia.
  • Sazonova Y; Cardiology Department, I.M. Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russia.
  • Svet A; City Clinical Hospital No. 4, Moscow, Russia.
  • Kuklina M; Cardiology Department, I.M. Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russia.
  • Sedov V; Endocrinology Research Center, Moscow, Russia.
  • Syrkin A; Cardiology Department, I.M. Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russia.
  • Saner H; Cardiology Department, I.M. Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russia.
Pacing Clin Electrophysiol ; 43(2): 223-233, 2020 02.
Article en En | MEDLINE | ID: mdl-31876292
ABSTRACT

AIM:

To develop an algorithm for optimization of rate-adaptive pacing settings in heart failure patients with preserved ejection fraction (HFpEF) and permanent cardiac pacing.

METHODS:

This is a prospective randomized controlled study. A total of 54 patients with HFpEF, permanent atrial fibrillation (AF), and VVIR pacing were randomized to an intervention group with optimization of rate-adaptation parameters by using cardiopulmonary exercise testing (CPET) and pacemaker stress echocardiography (PASE), and to a control group with conventional programming. CPET, 6-min walk test (6-mwt), echocardiography (echo), Duke Activity Status Index (DASI), and Minnesota questionnaire (MLHFQ) were performed at baseline and after 3 months. PASE was used to exclude exercise-induced ischemia and to determine safe upper sensor rate. Pacing parameters were corrected to achieve optimal heart rate increments of 3-6 bpm for 1 mL/min/kg of VO2 (oxygen uptake).

RESULTS:

After 3 months, the intervention group demonstrated significant improvement of VO2 peak by 1.64 ± 1.6 mL/min/kg, anaerobic threshold by 1.33 ± 1.3 mL/min/kg, exercise time by 170 ± 98 s, 6-mwt distance by 75 ± 63 m (P < .0001 for all), DASI by 5.23 points (P = .009), MLHFQ-score (reduction by 9 points, P < .0001), and echo parameters (decrease in LA volume from 108 (84; 132) to 95 (85; 130) mL, P = .026; E/e' from 11.7 ± 3.2 to 10.4 ± 2.9, P = .025; systolic pulmonary artery pressure (SPAP) from 44 ± 14 to 39 ± 12 mm Hg, P = .001) compared to the control group.

CONCLUSION:

An algorithm incorporating CPET and PASE for optimal programming of rate-adaptation parameters is a valuable tool to improve exercise capacity in HFpEF patients with permanent AF and VVIR pacing who remain exercise intolerant after conventional programming.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Algoritmos / Estimulación Cardíaca Artificial / Tolerancia al Ejercicio / Insuficiencia Cardíaca Tipo de estudio: Clinical_trials / Observational_studies / Prognostic_studies Límite: Aged / Female / Humans / Male Idioma: En Año: 2020 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Algoritmos / Estimulación Cardíaca Artificial / Tolerancia al Ejercicio / Insuficiencia Cardíaca Tipo de estudio: Clinical_trials / Observational_studies / Prognostic_studies Límite: Aged / Female / Humans / Male Idioma: En Año: 2020 Tipo del documento: Article