Evidence map›Paper›PMID 39827905›Full record

ArticleEuropean heart journal2025

Skeletal muscle adiposity, coronary microvascular dysfunction, and adverse cardiovascular outcomes.

Ana Carolina do A H Souza, Amelie S Troschel, Jan P Marquardt, Ibrahim Hadžić, Borek Foldyna, Filipe A Moura, Jon Hainer, Sanjay Divakaran, Ron Blankstein, Sharmila Dorbala and 5 more

Abstract read
In one paragraph

Article in European heart journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

27 citing papers in PubMed.

  1. Relaxin-2: Shaping the Proteomic Landscape of Skeletal Muscle Physiology, Glucose Trafficking, and Mitochondrial Function in Rat.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2026
    Article
  2. Article
  3. Observational
  4. Article
  5. Review
  6. Article
  7. Adverse Muscle Composition Is Associated with All-Cause Mortality in CKD: A UK Biobank Imaging Study.Clinical journal of the American Society of Nephrology : CJASN · 2026
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Opportunistic Screening on Chest CT, From theAJR. American journal of roentgenology · 2026
    Review
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Review
  19. Article
  20. Observational
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Ana Carolina do A H SouzaCardiovascular Imaging Program, Brigham and Women's Hospital, Harvard Medical School, 75 Francis St., Boston, MA 02115, USA.
Amelie S TroschelDivision of Thoracic Imaging, Department of Radiology, Massachusetts General Hospital, Boston, MA 02114, USA.
Jan P MarquardtDivision of Thoracic Imaging, Department of Radiology, Massachusetts General Hospital, Boston, MA 02114, USA.
Ibrahim HadžićArtificial Intelligence in Medicine (AIM) Program, Mass General Brigham, Harvard Medical School, Boston, MA 02114, USA.
Borek FoldynaCardiovascular Imaging Research Center, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA.ORCID 0000-0002-2466-4827
Filipe A MouraCardiovascular Imaging Program, Brigham and Women's Hospital, Harvard Medical School, 75 Francis St., Boston, MA 02115, USA.
Jon HainerCardiovascular Imaging Program, Brigham and Women's Hospital, Harvard Medical School, 75 Francis St., Boston, MA 02115, USA.ORCID 0000-0002-0572-912X
Sanjay DivakaranCardiovascular Imaging Program, Brigham and Women's Hospital, Harvard Medical School, 75 Francis St., Boston, MA 02115, USA.ORCID 0000-0003-0598-6502
Ron BlanksteinCardiovascular Imaging Program, Brigham and Women's Hospital, Harvard Medical School, 75 Francis St., Boston, MA 02115, USA.
Sharmila DorbalaCardiovascular Imaging Program, Brigham and Women's Hospital, Harvard Medical School, 75 Francis St., Boston, MA 02115, USA.
Marcelo F Di CarliCardiovascular Imaging Program, Brigham and Women's Hospital, Harvard Medical School, 75 Francis St., Boston, MA 02115, USA.
Hugo J W L AertsArtificial Intelligence in Medicine (AIM) Program, Mass General Brigham, Harvard Medical School, Boston, MA 02114, USA.
Michael T LuCardiovascular Imaging Research Center, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA.
Florian J FintelmannDivision of Thoracic Imaging, Department of Radiology, Massachusetts General Hospital, Boston, MA 02114, USA.
Viviany R TaquetiCardiovascular Imaging Program, Brigham and Women's Hospital, Harvard Medical School, 75 Francis St., Boston, MA 02115, USA.ORCID 0000-0002-0136-3781

Funding

Extension to Coronary Flow Reserve to Assess Hidden Risk: Focus on Women, Heart Failure, and InflammationK23HL135438 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI TAQUETI, VIVIANY R · 2017 to 2021
$1.1M
Gilead Sciences Research Scholars Program in Cardiovascular Disease NIH K23HL135438Lemann Cardiovascular Research FellowshipNHLBI NIH HHS K23 HL135438
6 · The paper itself

Abstract

BACKGROUND AND

aimsSkeletal muscle (SM) fat infiltration, or intermuscular adipose tissue (IMAT), reflects muscle quality and is associated with inflammation, a key determinant in cardiometabolic disease. Coronary flow reserve (CFR), a marker of coronary microvascular dysfunction (CMD), is independently associated with body mass index (BMI), inflammation and risk of heart failure, myocardial infarction, and death. The relationship between SM quality, CMD, and cardiovascular outcomes is not known.

methodsConsecutive patients (n = 669) undergoing evaluation for coronary artery disease with cardiac stress positron emission tomography demonstrating normal perfusion and preserved left ventricular ejection fraction were followed over a median of 6 years for major adverse cardiovascular events (MACEs), including death and hospitalization for myocardial infarction or heart failure. Coronary flow reserve was calculated as stress/rest myocardial blood flow. Subcutaneous adipose tissue (SAT), SM, and IMAT areas (cm2) were obtained from simultaneous positron emission tomography attenuation correction computed tomography using semi-automated segmentation at the 12th thoracic vertebra level.

resultsMedian age was 63 years, 70% were female, and 46% were nonwhite. Nearly half of patients were obese (46%, BMI 30-61 kg/m2), and BMI correlated highly with SAT and IMAT (r = .84 and r = .71, respectively, P < .001) and moderately with SM (r = .52, P < .001). Decreased SM and increased IMAT, but not BMI or SAT, remained independently associated with decreased CFR (adjusted P = .03 and P = .04, respectively). In adjusted analyses, both lower CFR and higher IMAT were associated with increased MACE [hazard ratio 1.78 (95% confidence interval 1.23-2.58) per -1 U CFR and 1.53 (1.30-1.80) per +10 cm2 IMAT, adjusted P = .002 and P < .0001, respectively], while higher SM and SAT were protective [hazard ratio .89 (.81-.97) per +10 cm2 SM and .94 (.91-.98) per +10 cm2 SAT, adjusted P = .01 and .003, respectively]. Every 1% increase in fatty muscle fraction [IMAT/(SM + IMAT)] conferred an independent 2% increased odds of CMD [CFR <2, odds ratio 1.02 (1.01-1.04), adjusted P = .04] and a 7% increased risk of MACE [hazard ratio 1.07 (1.04-1.09), adjusted P < .001]. There was a significant interaction between CFR and IMAT, not BMI, such that patients with both CMD and fatty muscle demonstrated highest MACE risk (adjusted P = .02).

conclusionsIncreased intermuscular fat is associated with CMD and adverse cardiovascular outcomes independently of BMI and conventional risk factors. The presence of CMD and SM fat infiltration identified a novel at-risk cardiometabolic phenotype.

Indexed as

AdiposityCoronary Artery DiseaseMuscle, SkeletalAdipose TissueAgedBody Mass IndexCoronary CirculationFemaleHeart FailureHumansMaleMicrocirculationMiddle AgedMyocardial InfarctionObesityPositron-Emission TomographyBody compositionCardiovascular eventsCoronary microvascular dysfunctionIntermuscular fatIschaemia and no obstructive coronary artery diseaseObesity

Identifiers

PMID39827905
PMCPMC13376131

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.