Abstract 4365331: Muscle Matters: CT-Derived Skeletal Muscle Mass Is Independently Associated with Lower Cardiovascular Risk and Potentiates Exercise Benefit

S Shady Abohashem (Harvard Medical School-Mass General, Boston, Massachusetts, United States) W Wesam Aldosoky (Massachusetts General Hospital, Boston, Massachusetts, United States) F Fatima Saeed K Krystel AbiKaram (Massachussetts General Hospital, Boston, Massachusetts, United States) H HUI CHONG LAU (CIRC, Boston, Massachusetts, United States) T Taha Ahmad (Massachusetts General Hospital, Boston, Massachusetts, United States) A Alula Assefa (Massachusetts General Hospital, Boston, Massachusetts, United States) M Maria Khalil (Massachusetts General Hospital, Boston, Massachusetts, United States) R Ronaldo Filho (Massachusetts General Hospital, Boston, Massachusetts, United States) A Antonia Seligowski (Massachusetts General Hospital, Boston, Massachusetts, United States) M Michael Osborne (Massachusetts General Hospital, Boston, Massachusetts, United States) M Meagan Wasfy (MASSACHUSETTS GENERAL HOSPITAL, Boston, Massachusetts, United States) J Jason Wasfy (MASSACHUSETTS GENERAL HOSPITAL, Cambridge, Massachusetts, United States) J James Guseh (Massachusetts General Hospital, Boston, Massachusetts, United States) A Ahmed Tawakol (Massachusetts General Hospital, Boston, Massachusetts, United States)

Abstract

Background: Diminished skeletal muscle mass predicts frailty and mortality, yet its independent association with major adverse cardiovascular events (MACE) and its interplay with physical activity remain poorly defined. Clarifying these relationships may refine risk stratification beyond effects of adiposity, lifestyle, and genetic factors. Hypothesis: We hypothesized that CT-derived skeletal muscle area (SMA) shows an independent and dose-responsive inverse association with MACE risk and this protection is greater among individuals achieving guideline-recommended aerobic exercise. Methods: We analyzed 10,312 Mass General Brigham Biobank (MGBB) participants with clinically acquired CT scans. Skeletal muscle area (SMA) and visceral adipose tissue (VAT) were quantified via validated machine-learning algorithms. Major adverse cardiovascular events (MACE) were identified through ICD codes. Covariables—key demographics, traditional cardiovascular risk factors (CVDRFs), Charlson Comorbidity Index, body mass index (BMI), residential socioeconomic status (SES: income, employment, education), lifestyle (exercise, sleep, alcohol), and a polygenic risk score (PRS) for coronary disease—were obtained from MGBB databases, electronic health records, and surveys. Multivariable Cox models with an SMA × exercise interaction yielded adjusted hazard ratios (aHRs). Dose–response was assessed using restricted cubic splines. Results: Over a median 10-year follow-up, 2,648 participants (25.7%) developed MACE. Each higher SMA quintile conferred ≈20 % lower MACE risk (aHR 0.80, 95 % CI 0.76–0.84; p<0.001, Fig.1A ) independent of CVDRFs, comorbidity, body fat (i.e., VAT, BMI), and exercise. Splines showed a near-linear inverse SMA–MACE relation (Q5 vs. Q3: HR: 0.64, p<0.001), while exercise benefit plateaued beyond the third quintile (Q5 vs. Q3: HR: 0.87, p=0.27; Fig.1B ). Notably, individuals meeting exercise guidelines (≥500 MET.min.wk) and with above-median SMA had the lowest MACE risk (aHR 0.54, 95 % CI 0.43–0.68; interaction p = 0.033*, Fig.1C-D ). These findings persisted after further adjustment for SES, PRS, sleep, and alcohol consumption. Conclusion: CT-derived SMA independently associates with lower MACE risk in a dose-responsive manner and may have synergistic associations with guideline-level exercise. Integrating skeletal muscle metrics into cardiovascular risk assessment may enhance stratification and underscore the potential value of muscle-preserving lifestyle interventions.

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 (15)

S

Shady Abohashem

Harvard Medical School-Mass General, Boston, Massachusetts, United States

W

Wesam Aldosoky

Massachusetts General Hospital, Boston, Massachusetts, United States

F

Fatima Saeed

K

Krystel AbiKaram

Massachussetts General Hospital, Boston, Massachusetts, United States

H

HUI CHONG LAU

CIRC, Boston, Massachusetts, United States

T

Taha Ahmad

Massachusetts General Hospital, Boston, Massachusetts, United States

A

Alula Assefa

Massachusetts General Hospital, Boston, Massachusetts, United States

M

Maria Khalil

Massachusetts General Hospital, Boston, Massachusetts, United States

R

Ronaldo Filho

Massachusetts General Hospital, Boston, Massachusetts, United States

A

Antonia Seligowski

Massachusetts General Hospital, Boston, Massachusetts, United States

M

Michael Osborne

Massachusetts General Hospital, Boston, Massachusetts, United States

M

Meagan Wasfy

MASSACHUSETTS GENERAL HOSPITAL, Boston, Massachusetts, United States

J

Jason Wasfy

MASSACHUSETTS GENERAL HOSPITAL, Cambridge, Massachusetts, United States

J

James Guseh

Massachusetts General Hospital, Boston, Massachusetts, United States

A

Ahmed Tawakol

Massachusetts General Hospital, Boston, Massachusetts, United States