Evidence map›Paper›PMID 39973023›Full record

ArticleEuropean journal of heart failure2025

Skeletal muscle and subcutaneous fat quantity as prognostic indicators in cardiac amyloidosis.

Joshua Longinow, Saeid Mirzai, Po-Hao Chen, Mazen Hanna, W H Wilson Tang

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Article in European journal of heart failure, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

What it found

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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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Joshua Longinow *Department of Cardiovascular Medicine, Heart, Vascular and Thoracic Institute, Cleveland Clinic, Cleveland, OH, USA.
Saeid Mirzai *Department of Internal Medicine, Cleveland Clinic, Cleveland, OH, USA.
Po-Hao ChenSection of Musculoskeletal Imaging, Imaging Institute, Cleveland Clinic, Cleveland, Ohio, USA.
Mazen HannaDepartment of Cardiovascular Medicine, Heart, Vascular and Thoracic Institute, Cleveland Clinic, Cleveland, OH, USA.
W H Wilson TangDepartment of Cardiovascular Medicine, Heart, Vascular and Thoracic Institute, Cleveland Clinic, Cleveland, OH, USA.

Funding

CVD Epidemiology Training ProgramT32HL076132 · NHLBI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI DAVID McLeod HERRINGTON · 2004 to 2026
$8.4M
International Consortium for Multimodality Phenotyping in Adults with Non-compactionR01HL146754 · NHLBI · STANFORD UNIVERSITY · PI NIEMAN, KOEN, TANG, WAI HONG WILSON · 2020 to 2023
$3.0M
Cleveland ClinicNHLBI NIH HHS R01 HL146754NHLBI NIH HHS R01HL146754NHLBI NIH HHS T32 HL076132NHLBI NIH HHS T32HL076132Pfizer
6 · The paper itself

Abstract

aimsDisease-related changes in body composition are associated with worse outcomes in chronic heart failure. In cardiac amyloidosis (CA), the prognostic value of direct body composition measures is understudied. METHODS AND

resultsWe identified 160 consecutive patients with CA (transthyretin [ATTR] or light chain [AL]) diagnosed between 2001 and 2021 who had chest computed tomography within 1 year before diagnosis. Skeletal muscle index (SMI), intermuscular adipose tissue percentage (IMAT%), and subcutaneous adipose tissue index (SATI) were quantified at the twelfth vertebral level and analysed continuously, in sex-stratified tertiles, and with derived outcome-based cutoffs. In a comprehensive model including IMAT% and SATI, only SMI independently predicted 10-year mortality (hazard ratio 0.69 per standard deviation increase, 95% confidence interval 0.52-0.91, p = 0.010). In tertile analyses, low SMI was associated with 2 to 2.5 times higher 1-year, 5-year, and 10-year mortality versus high SMI. Medium IMAT% and SATI showed approximately 1.9 times higher 5-year and 10-year mortality versus high tertiles. These associations were more pronounced in ATTR-CA, with low SATI also predicting higher mortality. AL-CA showed fewer significant associations. Interaction testing by CA type was not significant. Outcome-based SMI cutoffs of 23.5 cm

conclusionLower SMI was associated with increased mortality risk in patients with CA, particularly ATTR-CA. The relationship between SATI and mortality was more nuanced: in the overall cohort, medium SATI was associated with higher mortality risk, while in patients with ATTR-CA, lower SATI predicted higher mortality risk.

Indexed as

AmyloidosisCardiomyopathiesHeart FailureMuscle, SkeletalSubcutaneous FatAgedBody CompositionFemaleHumansMaleMiddle AgedPrognosisRetrospective StudiesTomography, X-Ray ComputedAdipose tissueCardiac amyloidosisLight chainSkeletal musclesTransthyretin

Identifiers

PMID39973023
PMCPMC12353106

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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.