Assessing the Learning Curve in Conduction System Pacing Implantation

<b>Background</b>: Conduction system pacing (CSP) has emerged as an alternative to biventricular pacing (BiVp), but its implantation requires a specific learning curve. Early experience was dominated by His bundle pacing (HBP) with lumenless leads (LLL), whereas the subsequent adoption of left bundle branch area pacing (LBBAP) and the increasing procedural standardization led to a simplification of the technique and greater uniformity in its execution. This study evaluated the learning curve for CSP by analyzing the first consecutive implants of two electrophysiologists (operator 1: OP1 and operator 2: OP2). <b>Methods:</b> The first 55 CSP procedures performed by each operator (<i>n</i> = 110) were retrospectively analyzed. Implantation and fluoroscopy times were assessed in blocks of five cases. Univariate and multivariable linear regression were used to identify independent predictors of procedural complexity. <b>Results:</b> A total of 110 CSP implants (55 per electrophysiologist) were analyzed. Implantation time progressively decreased with experience, reaching a stable plateau after ~45 cases per operator, when inter-operator curves completely overlapped and differences were no longer significant. Fluoroscopy time stabilized earlier and showed no consistent differences between electrophysiologists. In the univariate analysis, longer procedural times were associated with larger left ventricular end-diastolic diameters (LVEDD: r: 0.43; <i>p</i> < 0.001), LLL (r: 0.25; <i>p</i> < 0.01) and earlier implant numbers (r: 0.36; <i>p</i> < 0.001). In the multivariable models, only LVEDD and implant number (IN) remained independent predictors of procedure duration (LVEDD: β: 2.04, <i>p</i>: 0.04; and IN: β: 3.26, <i>p</i> < 0.04). <b>Conclusions:</b> CSP implantation follows a distinct learning curve, with procedure duration stabilizing after approximately 45 cases per operator. Procedural complexity is mainly determined by patient factors (LVEDD) and operator-related factors, whereas differences between LLL and SL reflect historical experience rather than intrinsic technical characteristics.

Authors

Institutions

Publication Details

Journal
Journal of Clinical Medicine
Published
2025-12-08
DOI
https://doi.org/10.3390/jcm14248684
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

Assessing the Learning Curve in Conduction System Pacing Implantation

Allison C. Petrini, Simone Taddeucci, Massimo Fineschi, Stefano Lunghetti et al.
Journal of Clinical Medicine
Cardiac pacing and defibrillation studies
article

Assessing the Learning Curve in Conduction System Pacing Implantation

Allison C. Petrini, Simone Taddeucci, Massimo Fineschi, Stefano Lunghetti, Francesco Morrone, L. Spaccaterra, Amato Santoro, Maurizio Collantoni, Niccolò Manetti, Claudia Baiocchi
article en

Abstract

<b>Background</b>: Conduction system pacing (CSP) has emerged as an alternative to biventricular pacing (BiVp), but its implantation requires a specific learning curve. Early experience was dominated by His bundle pacing (HBP) with lumenless leads (LLL), whereas the subsequent adoption of left bundle branch area pacing (LBBAP) and the increasing procedural standardization led to a simplification of the technique and greater uniformity in its execution. This study evaluated the learning curve for CSP by analyzing the first consecutive implants of two electrophysiologists (operator 1: OP1 and operator 2: OP2). <b>Methods:</b> The first 55 CSP procedures performed by each operator (<i>n</i> = 110) were retrospectively analyzed. Implantation and fluoroscopy times were assessed in blocks of five cases. Univariate and multivariable linear regression were used to identify independent predictors of procedural complexity. <b>Results:</b> A total of 110 CSP implants (55 per electrophysiologist) were analyzed. Implantation time progressively decreased with experience, reaching a stable plateau after ~45 cases per operator, when inter-operator curves completely overlapped and differences were no longer significant. Fluoroscopy time stabilized earlier and showed no consistent differences between electrophysiologists. In the univariate analysis, longer procedural times were associated with larger left ventricular end-diastolic diameters (LVEDD: r: 0.43; <i>p</i> < 0.001), LLL (r: 0.25; <i>p</i> < 0.01) and earlier implant numbers (r: 0.36; <i>p</i> < 0.001). In the multivariable models, only LVEDD and implant number (IN) remained independent predictors of procedure duration (LVEDD: β: 2.04, <i>p</i>: 0.04; and IN: β: 3.26, <i>p</i> < 0.04). <b>Conclusions:</b> CSP implantation follows a distinct learning curve, with procedure duration stabilizing after approximately 45 cases per operator. Procedural complexity is mainly determined by patient factors (LVEDD) and operator-related factors, whereas differences between LLL and SL reflect historical experience rather than intrinsic technical characteristics.

Journal of Clinical MedicineVol. 14(24)
University of Siena (IT), Azienda Ospedaliera Universitaria Senese (IT), Azienda Usl Toscana Centro (IT)
Openalex Percentile: Top 44%
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.