Literature DB >> 30707036

Novel Method for Assessment of His Bundle Pacing Morphology Using Near Field and Far Field Device Electrograms.

Aditya Saini1, Nicholas J Serafini2, Shawn Campbell3, William B Waugh3, Ryan Zimberg2, Todd J Sheldon3, Jordana Kron1, Gautham Kalahasty1, Santosh K Padala1, Richard Trohman2, Richard K Shepard1, Jayanthi N Koneru1, Pugazhendhi Vijayaraman4, Kenneth A Ellenbogen1, Parikshit S Sharma2.   

Abstract

BACKGROUND: The 12-lead ECG is considered the gold standard to differentiate between selective (S), nonselective (NS) His bundle pacing (HBP), and right ventricular septal capture in routine clinical practice. We sought to assess the utility of device EGM recordings as a tool to identify the type of HBP morphology.
METHODS: One hundred forty-eight consecutive patients underwent HBP with a 3830 Select Secure lead (Medtronic, Inc) at 3 centers between October 2016 and October 2017. The near field V-EGM morphology (NF EGM), near field V-EGM time to peak (NFTime to peak), and far-field EGM QRS duration (QRSd) were recorded while pacing the His lead with simultaneous 12-lead ECG rhythm strips.
RESULTS: Indications for HBP were sinus node dysfunction, atrioventricular conduction disease, and cardiac resynchronization therapy in 68 (46%), 56 (38%), and 24 (16%) patients, respectively. Baseline QRSd was 108±38 ms with QRSd >120 ms in 57 (39%) patients (27 right bundle branch block, 18 left bundle branch block, and 12 intraventricular conduction delay). S-HBP was noted in 54 (36%) patients. A positive NFEGM and NFTime to peak >40 ms were highly sensitive (94% and 93%, respectively) and specific (90% and 94%) for S-HBP irrespective of baseline QRSd. All 3 parameters (+NFEGM, NFTime to peak >40 ms, and far-field EGM QRSd <120 ms) had high negative predictive value (97%, 95%, and 92%). A novel device-based algorithm for S-HBP was proposed. EGM transitions correlated with ECG transitions during threshold testing and can help accurately differentiate between S-HBP, NS-HBP, and right ventricular septal pacing with a cumulative positive predictive value of 91% (positive predictive value =100% in patients with baseline QRSd <120 ms).
CONCLUSIONS: We propose a novel and simple criteria for accurate differentiation between S-HBP, NS-HBP, and right ventricular septal capture morphologies by careful analysis of device EGMs alone. This study paves the way for future studies to assess autocapture algorithms for devices with HBP.

Entities:  

Keywords:  His bundle; algorithms; bundle branch block; cardiac resynchronization therapy; electrodes; pacing; workflow

Mesh:

Year:  2019        PMID: 30707036     DOI: 10.1161/CIRCEP.118.006878

Source DB:  PubMed          Journal:  Circ Arrhythm Electrophysiol        ISSN: 1941-3084


  3 in total

Review 1.  Permanent His bundle pacing: shaping the future of physiological ventricular pacing.

Authors:  Parikshit S Sharma; Pugazhendhi Vijayaraman; Kenneth A Ellenbogen
Journal:  Nat Rev Cardiol       Date:  2019-06-27       Impact factor: 32.419

2.  Permanent His Bundle Pacing: A programming and troubleshooting guide.

Authors:  Jillian L Hanifin; Venkatesh Ravi; Richard G Trohman; Parikshit S Sharma
Journal:  Indian Pacing Electrophysiol J       Date:  2020-04-30

3.  His bundle pacing guided by automated intrinsic morphology matching is feasible in patients with narrow QRS complexes.

Authors:  Dirk Bastian; Caterina Gregorio; Veronica Buia; Janusch Walaschek; Harald Rittger; Laura Vitali-Serdoz
Journal:  Sci Rep       Date:  2022-03-04       Impact factor: 4.379

  3 in total

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