Automated capture management failure leading to ventricular fibrillation: Is automatic capture management for all or personalized pacing programming?

This case highlights a rare case of pacing-induced proarrhythmia due to failure of capture during automated ventricular capture management in an individual with CRT-D.

Authors

Institutions

Publication Details

Journal
HeartRhythm Case Reports
Published
2026-04-01
DOI
https://doi.org/10.1016/j.hrcr.2026.03.026
Primary Topic
Cardiac pacing and defibrillation studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Automated capture management failure leading to ventricular fibrillation: Is automatic capture management for all or personalized pacing programming?

Dhan Bahadur Shrestha, Talha Bin Farooq, Jurgen Shtembari, Hirad Yarmohammadi et al.
HeartRhythm Case Reports
Cardiac pacing and defibrillation studies
article

Automated capture management failure leading to ventricular fibrillation: Is automatic capture management for all or personalized pacing programming?

Dhan Bahadur Shrestha, Talha Bin Farooq, Jurgen Shtembari, Hirad Yarmohammadi, Anuj Garg
article en

Abstract

This case highlights a rare case of pacing-induced proarrhythmia due to failure of capture during automated ventricular capture management in an individual with CRT-D.

HeartRhythm Case Reports
Carle Foundation Hospital (US), Illinois College (US), Urbana University (US), Columbia University Irving Medical Center (US), Bassett Medical Center (US)
Openalex Percentile: Top 29%
Cardiac pacing and defibrillation studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.