Abstract 4362826: Use of Stress Cardiac Magnetic Resonance to Evaluate Prognosis in Patients with Cardiac Implantable Electronic Devices

M Maria Davo Jimenez (Northwestern University, Chicago, Illinois, United States) L Lexiaozi Fan (Northwestern University, Chicago, Illinois, United States) J Jacqueline Urban (Northwestern University, Chicago, Illinois, United States) A Amir Hossein Behnoush L Lane Starrett (Northwestern University, Chicago, Illinois, United States) C Cagdas Topel (Northwestern University, Chicago, Illinois, United States) D Dania Jaamour (Northwestern University, Chicago, Illinois, United States) N Nathan Gill (Northwestern University, Chicago, Illinois, United States) K KyungPyo Hong (Northwestern University, Chicago, Illinois, United States) J Jeremy Collins (Mayo Clinic, Rochester, Minnesota, United States) A Amit Patel B Bradley Knight (Northwestern University, Chicago, Illinois, United States) D Daniel Kim D Daniel Lee

Abstract

Background: The prevalence of cardiac implantable electronic devices (CIED) is increasing, with over 300,000 new implants annually in the U.S. Stress cardiac magnetic resonance (CMR) has proven as a powerful modality for myocardial characterization, enabling accurate diagnosis of different cardiac conditions. In patients without devices, CMR findings have also demonstrated prognostic value for major adverse cardiovascular events (MACE) and guide clinical decision-making. However, its use in CIED patients has historically been limited due to safety and image quality concerns. Hypothesis: We aimed to evaluate the prognostic value of CMR imaging using wideband sequences in CIED patients. Methods: CIED patients referred for clinical CMR were included prospectively and retrospectively between January 2020 and February 2025. All patients underwent a stress CMR protocol, which included cine, wideband late gadolinium enhancement (LGE), wideband T1 mapping, and wideband stress/rest perfusion imaging. Clinical follow-up is ongoing. The primary endpoint was the occurrence of MACE, defined as the composite of myocardial infarction, heart failure hospitalization, implantable cardioverter defibrillator (ICD) therapy, cardiac death, revascularization, or heart transplant. Results: A total of 89 patients were included (median age 69.0 [58.0–75.5] years; 62.9% male). Device types included pacemakers (33.7%), ICDs (48.3%), and cardiac resynchronization therapy devices (16.9%). Over a median of follow-up of 613 days [355-991], 21 patients experienced a MACE. In unadjusted models, higher left ventricular ejection fraction (LVEF) (per 5%) was significantly associated with a lower risk of MACE (odds ratio [OR] 0.80, 95% confidence interval [CI] 0.65–0.95; p=0.016), as was higher stress myocardial blood flow (MBF) (per 0.25 mL/g/min increase: OR 0.78, 95% CI 0.60–0.98; p=0.05). In contrast, greater LV myocardial mass (per 10 g) was significantly associated with a higher risk of MACE (OR 1.27, 95% CI 1.08–1.52; p = 0.006), figure 1. Conclusion: The use of wideband sequences enabled the assessment of prognostic imaging value in CIED patients. LVEF remains a strong and consistent predictor of MACE in this population and LV mass was significantly associated with higher rates of MACE reflecting the influence of underlying cardiomyopathy. While stress perfusion CMR imaging showed promising trends, further studies with longer follow-up are needed to clarify its prognostic value in this population.

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 (14)

M

Maria Davo Jimenez

Northwestern University, Chicago, Illinois, United States

L

Lexiaozi Fan

Northwestern University, Chicago, Illinois, United States

J

Jacqueline Urban

Northwestern University, Chicago, Illinois, United States

A

Amir Hossein Behnoush

L

Lane Starrett

Northwestern University, Chicago, Illinois, United States

C

Cagdas Topel

Northwestern University, Chicago, Illinois, United States

D

Dania Jaamour

Northwestern University, Chicago, Illinois, United States

N

Nathan Gill

Northwestern University, Chicago, Illinois, United States

K

KyungPyo Hong

Northwestern University, Chicago, Illinois, United States

J

Jeremy Collins

Mayo Clinic, Rochester, Minnesota, United States

A

Amit Patel

B

Bradley Knight

Northwestern University, Chicago, Illinois, United States

D

Daniel Kim

D

Daniel Lee