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- Title
Three-Dimensional Cardiac Mapping Characterizes Ventricular Contractile Patterns during Cardiac Resynchronization Therapy Implant: A Feasibility Study.
- Authors
NIAZI, IMRAN K.; SPERZEL, JOHANNES; HEIST, EDWIN KEVIN; ROSENBERG, STUART P.; RYU, KYUNGMOO; YANG, MICHAEL; D'AVILA, ANDRE; SINGH, JAGMEET P.
- Abstract
Background Electroanatomic mapping systems track the position of electrodes in the heart. We assessed the feasibility of characterizing left ventricular (LV) performance during cardiac resynchronization therapy (CRT) implant utilizing an electroanatomic mapping system to track the motion of CRT lead electrodes, thus deriving ventricular contractility surrogates. Methods During CRT implant, atrial, right ventricular (RV), and LV leads were connected to the EnSite NavX™ mapping system (St. Jude Medical Inc., St. Paul, MN, USA). The relative displacement of electrodes was averaged over 10 cardiac cycles during RV, LV, and biventricular (BiV) pacing in DOO mode. Three contractility surrogates indicative of ventricular performance were extracted from the RV-LV distance waveform: systolic slope (SS), time to peak systolic contraction (TPSC), and fractional shortening (FS). Results In the 20 patients included, there were detectable differences in each of the three contractility surrogates responding to the different pacing configurations. Median SS varied 42%, median TPSC varied 35%, and median FS varied 19% across RV, LV, and BiV pacing interventions. The RV-LV distance waveform showed subtle sensitivity to varying pacing timing cycles when measured in a subset of patients. For all pacing configurations, RV-LV distance waveforms were stable during 2-minute recordings. Conclusions Tracking the motion of CRT pacing electrodes with a mapping system to derive contractility surrogates during implant is feasible.
- Subjects
HEART failure treatment; BODY surface mapping; CARDIAC pacing; ELECTRODES; HEART ventricles; ARTIFICIAL implants; INTRAOPERATIVE monitoring; MEDICAL cooperation; RESEARCH; RESEARCH funding; STATISTICS; PILOT projects; DATA analysis; WAVE analysis; DATA analysis software; DESCRIPTIVE statistics; PHYSIOLOGY
- Publication
Pacing & Clinical Electrophysiology, 2015, Vol 38, Issue 9, p1091
- ISSN
0147-8389
- Publication type
Article
- DOI
10.1111/pace.12674