Non‐Invasive Methods for Identifying Electrical Responders to Conduction System Pacing Cardiac Resynchronization Therapy

BACKGROUND: Conduction system pacing (CSP) is an emerging alternative modality of cardiac resynchronization therapy (CRT). However, not all patients obtain electrical resynchronization with CSP, there is a clinical need for reliable non-invasive predictors of response. We aimed to assess the ability of several non-invasive modalities to predict electrical resynchronization with CSP-CRT. METHODS: Patients with standard heart failure CRT indications (excluding right-bundle branch block) underwent CSP-CRT using His-bundle and left-bundle branch pacing. Electrical resynchronization was defined as a >10 ms reduction in left ventricular activation time or conversion to a physiological left ventricular activation pattern on non-invasive multi-electrode mapping. We assessed whether 12-lead ECG morphology, vector electrocardiogram (VCG) derived QRS area, Ultra High Frequency (UHF)-ECG parameters or MRI scar burden predicted electrical resynchronization. RESULTS: Thirty four patients were analyzed (mean age 69±10 years; 82% male; LVEF 30±6%; QRS duration 161±23 ms; 32% ischemic cardiomyopathy). Electrical resynchronization was achieved in 24/34 (71%; 95%CI 53-85). Strauss criteria positivity on 12-lead ECG yielded a positive predictive value (PPV) of 83% (95%CI 61-95%) and negative predictive value (NPV) of 55% (95%CI 23-83%). VCG QRS area >100µVs demonstrated PPV 100% (95% CI 81-100%) and NPV 73% (95%CI 85-100%). UHF-ECG e-DYS >50 ms gave PPV 93% (95%CI 66-100%) and NPV 47% (23%-72%); >60 ms gave PPV 90% (95%CI 66-100%) and NPV 38% (95%CI 18-62%). MRI scar burden <15% resulted in PPV 88% (95%CI 64-99%) and NPV 56% (95%CI 21-86%). Lines of propagation discontinuity on multi-electrode mapping showed PPV 100% (95%CI 85-100%) and NPV 83% (95%CI 52-98%). CONCLUSIONS: Multiple non-invasive markers, including QRS morphology, VCG QRS area, UHF-ECG e-DYS, MRI scar burden showed potential to identify patients who are likely to electrically resynchronize with CSP-CRT, although their NPVs were generally modest. Non-invasive propagation mapping had the highest PPV and NPV.

Authors

Institutions

Publication Details

Journal
Pacing and Clinical Electrophysiology
Published
2026-08-17
DOI
https://doi.org/10.1111/pace.70393
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

Non‐Invasive Methods for Identifying Electrical Responders to Conduction System Pacing Cardiac Resynchronization Therapy

Ji‐Jian Chow, Yixiu Liang, P. Boon Lim, Nick Linton et al.
Pacing and Clinical Electrophysiology
Cardiac pacing and defibrillation studies
article

Non‐Invasive Methods for Identifying Electrical Responders to Conduction System Pacing Cardiac Resynchronization Therapy

Ji‐Jian Chow, Yixiu Liang, P. Boon Lim, Nick Linton, Karol Čurila, Ahran Arnold, Nandita Kaza, Frits W. Prinzen, Mark Tanner, Pavel Leinveber, Chetanya Sharma, Pavel Jurák, Keenan Saleh, Akriti Naraen, Zachary I. Whinnett, Jack Samways, Nadine Ali, Nicholas S. Peters, Jagdeep Singh Mohal, Graham Cole, D.P. Francis, James P. Howard, Fu Siong Ng, Norman Qureshi, Matthew Shun-Shin, Prapa Kanagaratnam, David C. Lefroy, Amal Muthumala, Judith M. Lubrecht, Daniel Keene
article en

Abstract

BACKGROUND: Conduction system pacing (CSP) is an emerging alternative modality of cardiac resynchronization therapy (CRT). However, not all patients obtain electrical resynchronization with CSP, there is a clinical need for reliable non-invasive predictors of response. We aimed to assess the ability of several non-invasive modalities to predict electrical resynchronization with CSP-CRT. METHODS: Patients with standard heart failure CRT indications (excluding right-bundle branch block) underwent CSP-CRT using His-bundle and left-bundle branch pacing. Electrical resynchronization was defined as a >10 ms reduction in left ventricular activation time or conversion to a physiological left ventricular activation pattern on non-invasive multi-electrode mapping. We assessed whether 12-lead ECG morphology, vector electrocardiogram (VCG) derived QRS area, Ultra High Frequency (UHF)-ECG parameters or MRI scar burden predicted electrical resynchronization. RESULTS: Thirty four patients were analyzed (mean age 69±10 years; 82% male; LVEF 30±6%; QRS duration 161±23 ms; 32% ischemic cardiomyopathy). Electrical resynchronization was achieved in 24/34 (71%; 95%CI 53-85). Strauss criteria positivity on 12-lead ECG yielded a positive predictive value (PPV) of 83% (95%CI 61-95%) and negative predictive value (NPV) of 55% (95%CI 23-83%). VCG QRS area >100µVs demonstrated PPV 100% (95% CI 81-100%) and NPV 73% (95%CI 85-100%). UHF-ECG e-DYS >50 ms gave PPV 93% (95%CI 66-100%) and NPV 47% (23%-72%); >60 ms gave PPV 90% (95%CI 66-100%) and NPV 38% (95%CI 18-62%). MRI scar burden <15% resulted in PPV 88% (95%CI 64-99%) and NPV 56% (95%CI 21-86%). Lines of propagation discontinuity on multi-electrode mapping showed PPV 100% (95%CI 85-100%) and NPV 83% (95%CI 52-98%). CONCLUSIONS: Multiple non-invasive markers, including QRS morphology, VCG QRS area, UHF-ECG e-DYS, MRI scar burden showed potential to identify patients who are likely to electrically resynchronize with CSP-CRT, although their NPVs were generally modest. Non-invasive propagation mapping had the highest PPV and NPV.

Pacing and Clinical Electrophysiology
St Bartholomew's Hospital (GB), Charles University (CZ), Barts Health NHS Trust (GB), Fudan University (CN), London North West Healthcare NHS Trust (GB), Hammersmith Hospital (GB), Maastricht University (NL), Lung Institute (US), Czech Academy of Sciences, Institute of Scientific Instruments (CZ), North Middlesex University Hospital NHS Trust (GB), University Hospital Kralovske Vinohrady (CZ)
Good health and well-being
Openalex Percentile: Top 9%
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.