CUSUM Analysis as a Predictive Tool for the Learning Curve in Left Bundle Branch Area Pacing

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Authors: Ionuț Tudorancea, Mihai Ștefan Cristian Haba, Mircea Cristian Placinta, Irene Paula Popa, Emil Gabriel Calistrat, Alexandru Guila, Daniela Crișu, Viviana Onofrei Aursulesei, Dragomir Nicolae Șerban, Ionela Lăcrămioara Șerban, Radu Iliescu, Iuliana-Alina Enache
Cited by: 1
References: 26

Abstract

Background/Objectives: Left bundle branch area pacing (LBBAP) has rapidly emerged as a physiological alternative to conventional pacing. However, the learning curve for new operators remains poorly characterized. We aimed to describe the learning curve of LBBAP using cumulative sum (CUSUM) analysis in a single-center, single-operator setting. Methods: We conducted a retrospective analysis of 108 consecutive LBBAP attempts performed by a first-time operator with no prior conduction system pacing experience. Fluoroscopy time was selected as the primary performance metric. A predefined procedural target (≤6 min for non-CRT and ≤9 min for CRT implants) was used to classify each case as a success or failure. CUSUM plots were generated to identify the inflection point marking proficiency acquisition. Results: In non-CRT cases (n = 95), fluoroscopy time progressively decreased, and the CUSUM curve showed a distinct inflection after approximately 65 cases, indicating the attainment of procedural proficiency. In CRT implants (n = 9), acceptable fluoroscopy exposure was achieved soon after the non-CRT proficiency threshold was reached. Electrical performance and safety outcomes remained stable throughout the learning process. Conclusions: CUSUM provides a clear, objective, and real-time measure of operator progression during the initial learning phase of LBBAP. The technique reliably identified the proficiency transition and can be readily implemented for procedural training, credentialing, and competency monitoring in centers adopting LBBAP.

Fields of Study & Subjects

Cardiac pacing and defibrillation studies Mechanical Circulatory Support Devices ECG Monitoring and Analysis

Publication details

Journal / source
Journal of Clinical Medicine
Publisher
MDPI AG
Volume
15
Issue
1
Pages
335–335
Publication date
1 January 2026
Language
EN