Abstract 4365018: Novel Use of KardiaMobile Device to Assess For Vector Suitability for Subcutaneous Implantable Cardioverter Defibrillator Implantation

R Rand Ibrahim (Emory University, Atlanta, Georgia, United States) A Ali Bahrami Rad (Ali Bahrami Rad, Atlanta, Georgia, United States) M Michael DeBakey (Emory University School of Medicine, Atlanta, Georgia, United States) M Michael Lloyd (EMORY UNIVERSITY, Atlanta, Georgia, United States) M Mikhael El-Chami (Emory University School of Medicine, Atlanta, Georgia, United States) S Stacy Westerman (Emory University, Atlanta, Georgia, United States) F Faisal Merchant (Emory University School of Medicine, Atlanta, Georgia, United States) S Shahriar Iravanian (Emory University, Atlanta, Georgia, United States) G Gari Clifford (Department of Biomedical Informatics, Emory University School of Medicine, Atlanta, Georgia, United States) N Neal Bhatia (Emory University, Atlanta, Georgia, United States)

Abstract

Background: The subcutaneous implantable defibrillator (S-ICD) was developed to avoid lead related complications and systemic infections. Screening prior to implantation is critical for appropriate sensing of ventricular arrhythmias and to avoid inappropriate shocks. Current screening protocols require in-person assessment using the Zoom Programmer (Boston Scientific), which may not be readily available in many clinical settings and limits accessibility. . We evaluated if the KardiaMobile 6L (KM), a smartphone linked portable ECG, can be used for S-ICD screening. Objectives: To evaluate the clinical utility of the KM device to screen patients indicated for S-ICD. Methods: Patients who met criteria or had already been implanted with an S-ICD or single chamber transvenous ICD were recruited and consented. Paired ECG tracings from the KM and the programmer were collected in primary, secondary, and alternate vectors in both sitting and supine position (Figure 1). ECG tracings from the KM were manually annotated and compared to the programmer. Results: A total of 56 patients (male 76.8%, 56.6±16.2 years) were recruited for the study, which included 336 paired tracings from the programmer and KM (Table 1). A total of 59 (17.5%) of tracings when compared were discordant. When compared to the programmer, KM had a sensitivity of 80% of specificity of 93.9%, with a positive predictive value of 98.2% (Table 2). Alternate standing had the least discordance (n=5), while primary sitting had the highest discordance (n=14). Conclusion: The KardiaMobile 6L provides similar results for screening for S-ICD when compared to the automated programmer. Automated screening and scaling with KM may improve results, and allow for easy and accessible screening for patients and providers.

Article Details

Journal Circulation
Volume / Issue Vol. 152, Issue Suppl_3
Published November 04, 2025
ISSN 0009-7322
Publisher Lippincott Williams & Wilkins

Journal Info

Circulation

Lippincott Williams & Wilkins

ISSN: 0009-7322 Health Sciences

Authors (10)

R

Rand Ibrahim

Emory University, Atlanta, Georgia, United States

A

Ali Bahrami Rad

Ali Bahrami Rad, Atlanta, Georgia, United States

M

Michael DeBakey

Emory University School of Medicine, Atlanta, Georgia, United States

M

Michael Lloyd

EMORY UNIVERSITY, Atlanta, Georgia, United States

M

Mikhael El-Chami

Emory University School of Medicine, Atlanta, Georgia, United States

S

Stacy Westerman

Emory University, Atlanta, Georgia, United States

F

Faisal Merchant

Emory University School of Medicine, Atlanta, Georgia, United States

S

Shahriar Iravanian

Emory University, Atlanta, Georgia, United States

G

Gari Clifford

Department of Biomedical Informatics, Emory University School of Medicine, Atlanta, Georgia, United States

N

Neal Bhatia

Emory University, Atlanta, Georgia, United States