Abstract 4369683: AI-driven Measurement of Myosteatosis in Coronary Artery Calcium Scans Predicts Atrial Fibrillation and Heart Failure. An AI-CVD Study within the Multi-Ethnic Study of Atherosclerosis (MESA)

M Morteza Naghavi (HeartLung Technologies, Houston, Texas, United States) A Amir Azimi K Kyle Atlas (HeartLung Technologies, Houston, Texas, United States) C Chenyu Zhang A Anthony Reeves (Cornell University, Ithaca , New York, United States) T Thomas Atlas (Tustin Teleradiology, Tustin, California, United States) D David Yankelevitz (Mount Sinai Hospital, New York, New York, United States) S Seyed Reza Mirjalili (HeartLung Technologies, Houston, Texas, United States) C Claudia Henschke (Mount Sinai Hospital, New York, New York, United States) N Nathan Wong R Rozemarijn Vliegenthart M Michael McConnell (Stanford University, Palo Alto, California, United States) D David Maron (Stanford University, Stanford, California, United States) A Andrea Branch (Mount Sinai Hospital, New York, New York, United States) R Robert Kloner (Huntington Medical Research Inst., Pasadena, California, United States) J Jeffrey mechanick (icahn school of med at mount siani, New York, New York, United States) N Ning Ma R Rowena Yip (Icahn School of Med at Mt Sinai, New York, New York, United States) W Wenjun Fan (State Key Laboratory of Catalysis, Dalian Institute of Chemical Physics) S Sion Roy (UCLA Harbor, Malibu, California, United States) K Khurram Nasir S Sabee Molloi (University of California, Irvine, Irvine, California, United States) Z Zahi Fayad (MOUNT SINAI MEDICAL CENTER, New York, New York, United States) I Ioannis Kakadiaris (UNIVERSITY OF HOUSTON, Houston, Texas, United States) G George Abela (MICHIGAN STATE UNIV, East Lansing, Michigan, United States) J Jagat Narula K Kim Williams P Prediman Shah (Cedars-Sinai Medical Center, Los Angeles, California, United States) E Emelia Benjamin (Boston University School Medicine, Brookline, Massachusetts, United States) D Daniel Levy (Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA.)

Abstract

Introduction: New innovations in AI allow opportunistic detection of non-coronary features on coronary artery calcium (CAC) scans, enabling screening for a range of conditions, and improved cardiovascular disease (CVD) prediction. Myosteatosis, excessive fat infiltration into skeletal muscle, is increasingly recognized as a marker of systemic metabolic dysfunction and can be quantified in CT using the mean attenuation of skeletal muscle. We evaluated AI-measured myosteatosis in thoracic skeletal muscle for predicting future atrial fibrillation (AF), heart failure (HF), and total CVD. Methods: We used baseline CAC scans and 15-year follow-up data from 5,489 asymptomatic participants (47.8% male) in the Multi-Ethnic Study of Atherosclerosis (MESA). Myosteatosis was operationally defined as the lowest quartile of thoracic skeletal muscle mean attenuation (males<33 Hounsfield Units (HU) and females<27 HU). Hazard ratios [HR] for bottom vs top quartile of mean muscle CT density were evaluated using proportional hazards regression models adjusted for CVD risk factors, inflammatory markers, and social determinants of health. Results: Myosteatosis was associated with worse outcomes in both sexes: HRs in males were 4.59 (95% CI, 3.52–5.99) for AF, 8.46 (4.61–15.52) for HF, and 3.56 (2.89–4.37) for total CVD, with corresponding HRs in females of 4.68 (3.48–6.29), 8.01 (3.62–17.72), and 4.37 (3.42–5.57), respectively. After full adjustment, associations remained significant for HF (1.93 [1.31–2.82]), AF (1.78 [1.26–2.50]), and total CVD (1.44 [1.09–1.91]) in males, and for AF (1.69 [1.17–2.45]) and total CVD (1.75 [1.29–2.39]) in females. Individuals in the top quartile of CAC (>89.5 HU) who also had myosteatosis had greater 15-year incidence of AF (45.4%) and HF (21.8%) than those in either group alone (CAC, AF: 29%, HF: 9.5%; myosteatosis, AF: 20.9%, HF: 5.3%). Conclusion: Thoracic skeletal myosteatosis in CAC scans is an independent predictor of AF, HF, and total CVD over 15 years. Improving clinical outcomes through the detection of myosteatosis, and other opportunistic findings in CAC scans as part of the AI-CVD initiative, merits further investigation.

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 (30)

M

Morteza Naghavi

HeartLung Technologies, Houston, Texas, United States

A

Amir Azimi

K

Kyle Atlas

HeartLung Technologies, Houston, Texas, United States

C

Chenyu Zhang

A

Anthony Reeves

Cornell University, Ithaca , New York, United States

T

Thomas Atlas

Tustin Teleradiology, Tustin, California, United States

D

David Yankelevitz

Mount Sinai Hospital, New York, New York, United States

S

Seyed Reza Mirjalili

HeartLung Technologies, Houston, Texas, United States

C

Claudia Henschke

Mount Sinai Hospital, New York, New York, United States

N

Nathan Wong

R

Rozemarijn Vliegenthart

M

Michael McConnell

Stanford University, Palo Alto, California, United States

D

David Maron

Stanford University, Stanford, California, United States

A

Andrea Branch

Mount Sinai Hospital, New York, New York, United States

R

Robert Kloner

Huntington Medical Research Inst., Pasadena, California, United States

J

Jeffrey mechanick

icahn school of med at mount siani, New York, New York, United States

N

Ning Ma

R

Rowena Yip

Icahn School of Med at Mt Sinai, New York, New York, United States

W

Wenjun Fan

State Key Laboratory of Catalysis, Dalian Institute of Chemical Physics

S

Sion Roy

UCLA Harbor, Malibu, California, United States

K

Khurram Nasir

S

Sabee Molloi

University of California, Irvine, Irvine, California, United States

Z

Zahi Fayad

MOUNT SINAI MEDICAL CENTER, New York, New York, United States

I

Ioannis Kakadiaris

UNIVERSITY OF HOUSTON, Houston, Texas, United States

G

George Abela

MICHIGAN STATE UNIV, East Lansing, Michigan, United States

J

Jagat Narula

K

Kim Williams

P

Prediman Shah

Cedars-Sinai Medical Center, Los Angeles, California, United States

E

Emelia Benjamin

Boston University School Medicine, Brookline, Massachusetts, United States

D

Daniel Levy

Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA.