Abstract 4372469: Ambulatory QT Interval Prolongation and Reduced T-Amplitude Help Identify Veterans with Heart Disease

A Amit Shah Z Zuzana Koscova (EMORY UNIVERSITY, Atlanta, Georgia, United States) Q Qiao Li (Key Laboratory of Applied Surface and Colloid Chemistry, Ministry of Education and School of Chemistry and Chemical Engineering) R Reza Sameni (Emory University, Atlanta, Georgia, United States) A Ali Bahrami Rad (Ali Bahrami Rad, Atlanta, Georgia, United States) S Sajjad Karimi (Emory University, Atlanta, Georgia, United States) R Rachel Lampert (Department of Medicine, Section of Cardiovascular Medicine, Yale School of Medicine, New Haven, CT (R.L, J.C.S).) L Lejy Mathew (Emory University, Atlanta, Georgia, United States) N Nikila Alagar (Emory University, Atlanta, Georgia, United States) K Kay Colon-Motas (Emory University, Atlanta, Georgia, United States) K Katalina de Leon (Emory University, Atlanta, Georgia, United States) A Abdulkareem Murtala (Emory University, Atlanta, Georgia, United States) J Jeffery Osei (Emory University, Atlanta, Georgia, United States) R Rama Mourad (Emory University, Atlanta, Georgia, United States) S Sarah Chang (Emory University, Atlanta, Georgia, United States) Y Yi-An Ko Z Zhaohua Zeng (Emory University, Atlanta, Georgia, United States) S Shafa-at Sheikh (Emory University, Duluth, Georgia, United States) Y Ying Xu K Kain Kim (Massachusetts General Hospital, Boston, Massachusetts, United States) N Natalie Akoto (Emory University, Atlanta, Georgia, United States) E Eric Santana (Emory University, Atlanta, Georgia, United States) A Abigail Alexander (Emory University, Atlanta, Georgia, United States) K Kara Suvada (Emory University, Atlanta, Georgia, United States) T Tatum Roberts (EMORY UNIV ROLLINS SCHL PUBLIC HLTH, Atlanta, Georgia, United States) L Lewam Stefanos (EMORY UNIV ROLLINS SCHL PUBLIC HLTH, Atlanta, Georgia, United States) V Viola Vaccarino (EMORY UNIV ROLLINS SCHL PUBLIC HLTH, Atlanta, Georgia, United States) G Gari Clifford (Department of Biomedical Informatics, Emory University School of Medicine, Atlanta, Georgia, United States)

Abstract

Introduction: Several ECG parameters accessible via ambulatory Holter recordings may help risk-stratify coronary heart disease (CHD) risk, but their clinical use is mostly limited to arrhythmia detection. Candidate ECG-based measures for CHD include autonomic markers like heart rate variability (HRV) and cardiac repolarization measures involving the T wave and QT interval. We explored several potential ECG digital biomarkers for CHD classification in a cohort of veteran twins to help inform future research on real-time CHD risk assessment with ambulatory ECG monitoring. Methods: We collected ambulatory Holter data (1,000 Hz, 3 channels) for one week from veteran twins recruited from the Vietnam Era Twins Registry. We assessed CHD if they described either previous MI, CABG, cardiac arrest/ICD shock, or PCI during a clinical history conducted by a trained clinician. We used the Physionet Cardiovascular Signal Toolbox to derive several ECG features from sliding 5-minute windows (table 1). For each ECG feature, we calculated several different statistical summary measures. This resulted in 164 total features. We performed logistic regression with forward selection and corrected for multiple comparisons with Bonferroni correction. We also tested the performance of the newly discovered ECG markers within twin CHD discordant pairs to control for family-level confounding. Lastly, we controlled for traditional CHD risk factors using multivariable models. Results: We studied 514 men with mean (SD) age 73.4 (2.9) years; 7% were Black, and 23% had a history of CHD (table 2). The mean QT interval and T amplitude in lead I were the most strongly associated with CHD (p<0.0001 for both), and none of the other markers met criteria for statistical significance. The ECG-CHD relationships were similar within 33 twin pairs discordant for CHD (AUC 0.69). Adjustment for traditional risk factors did not reduce the observed ECG-CHD associations. The QT interval (427 ms) was longest in the cardiac arrest/ICD shock subgroup, while the T-amplitude (0.054 mV) was lowest in the subgroup with CABG history (table 3). Discussion: In this cross-sectional study of older veteran twins, mean QT interval and T amplitude (lead I) were the only two significant Holter parameters associated with CHD after correction for multiple testing. These results can help to inform future studies of CHD risk with Holter monitors and ecological momentary assessments of stress and behavioral exposures.

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 (28)

A

Amit Shah

Z

Zuzana Koscova

EMORY UNIVERSITY, Atlanta, Georgia, United States

Q

Qiao Li

Key Laboratory of Applied Surface and Colloid Chemistry, Ministry of Education and School of Chemistry and Chemical Engineering

R

Reza Sameni

Emory University, Atlanta, Georgia, United States

A

Ali Bahrami Rad

Ali Bahrami Rad, Atlanta, Georgia, United States

S

Sajjad Karimi

Emory University, Atlanta, Georgia, United States

R

Rachel Lampert

Department of Medicine, Section of Cardiovascular Medicine, Yale School of Medicine, New Haven, CT (R.L, J.C.S).

L

Lejy Mathew

Emory University, Atlanta, Georgia, United States

N

Nikila Alagar

Emory University, Atlanta, Georgia, United States

K

Kay Colon-Motas

Emory University, Atlanta, Georgia, United States

K

Katalina de Leon

Emory University, Atlanta, Georgia, United States

A

Abdulkareem Murtala

Emory University, Atlanta, Georgia, United States

J

Jeffery Osei

Emory University, Atlanta, Georgia, United States

R

Rama Mourad

Emory University, Atlanta, Georgia, United States

S

Sarah Chang

Emory University, Atlanta, Georgia, United States

Y

Yi-An Ko

Z

Zhaohua Zeng

Emory University, Atlanta, Georgia, United States

S

Shafa-at Sheikh

Emory University, Duluth, Georgia, United States

Y

Ying Xu

K

Kain Kim

Massachusetts General Hospital, Boston, Massachusetts, United States

N

Natalie Akoto

Emory University, Atlanta, Georgia, United States

E

Eric Santana

Emory University, Atlanta, Georgia, United States

A

Abigail Alexander

Emory University, Atlanta, Georgia, United States

K

Kara Suvada

Emory University, Atlanta, Georgia, United States

T

Tatum Roberts

EMORY UNIV ROLLINS SCHL PUBLIC HLTH, Atlanta, Georgia, United States

L

Lewam Stefanos

EMORY UNIV ROLLINS SCHL PUBLIC HLTH, Atlanta, Georgia, United States

V

Viola Vaccarino

EMORY UNIV ROLLINS SCHL PUBLIC HLTH, Atlanta, Georgia, United States

G

Gari Clifford

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