Evidence map›Paper›PMID 38616005›Full record

ArticleJournal of cardiac failure2024

The Association Between Preoperative Pectoralis Muscle Quantity and Outcomes After Cardiac Transplantation.

Elissa Driggin, Alice Chung, Erin Harris, Abraham Bordon, Salwa Rahman, Gabriel Sayer, Koji Takeda, Nir Uriel, Mathew S Maurer, Jay Leb and 1 more

Open access · greenAbstract read
In one paragraph

Article in Journal of cardiac failure, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
4.4field-weighted citation impact, top 5% of its field
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

3 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 1 institution in 1 country.

Elissa DrigginSeymour, Paul, and Gloria Milstein Division of Cardiology, Department of Medicine, Columbia University Irving Medical Center-NewYork-Presbyterian Hospital, New York, NY.
Alice ChungDepartment of Medicine, Columbia University Irving Medical Center- NewYork-Presbyterian Hospital, New York, NY.
Erin HarrisDepartment of Medicine, Columbia University Irving Medical Center- NewYork-Presbyterian Hospital, New York, NY.
Abraham BordonDepartment of Radiology, Columbia University Irving Medical Center- NewYork-Presbyterian Hospital, New York, NY.
Salwa RahmanSeymour, Paul, and Gloria Milstein Division of Cardiology, Department of Medicine, Columbia University Irving Medical Center-NewYork-Presbyterian Hospital, New York, NY.
Gabriel SayerSeymour, Paul, and Gloria Milstein Division of Cardiology, Department of Medicine, Columbia University Irving Medical Center-NewYork-Presbyterian Hospital, New York, NY.
Koji TakedaDivision of Cardiothoracic and Vascular Surgery, Department of Surgery, Columbia University Medical Center- NewYork-Presbyterian Hospital, New York, NY.
Nir UrielSeymour, Paul, and Gloria Milstein Division of Cardiology, Department of Medicine, Columbia University Irving Medical Center-NewYork-Presbyterian Hospital, New York, NY.
Mathew S MaurerSeymour, Paul, and Gloria Milstein Division of Cardiology, Department of Medicine, Columbia University Irving Medical Center-NewYork-Presbyterian Hospital, New York, NY.
Jay LebDepartment of Radiology, Columbia University Irving Medical Center- NewYork-Presbyterian Hospital, New York, NY.
Kevin ClerkinSeymour, Paul, and Gloria Milstein Division of Cardiology, Department of Medicine, Columbia University Irving Medical Center-NewYork-Presbyterian Hospital, New York, NY. Electronic address: kjc2142@cumc.columbia.edu.
NewYork–Presbyterian Hospital · US

Funding

Identifying Novel Diagnostics and Mechanisms for Cardiac Allograft VasculopathyK23HL148528 · NHLBI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI CLERKIN, KEVIN J · 2020 to 2024
$852k
NHLBI NIH HHS K23 HL148528
6 · The paper itself

Abstract

backgroundSarcopenia is underappreciated in advanced heart failure and is not routinely assessed. In patients receiving a left ventricular assist device, preoperative sarcopenia, defined by using computed-tomography (CT)-derived pectoralis muscle-area index (muscle area indexed to body-surface area), is an independent predictor of postoperative mortality. The association between preoperative sarcopenia and outcomes after heart transplant (HT) is unknown.

objectivesThe primary aim of this study was to determine whether preoperative sarcopenia, diagnosed using the pectoralis muscle-area index, is an independent predictor of days alive and out of the hospital (DAOHs) post-transplant.

methodsPatients who underwent HT between January, 2018, and June, 2022, with available preoperative chest CT scans were included. Sarcopenia was diagnosed as pectoralis muscle-area index in the lowest sex-specific tertile. The primary endpoint was DAOHs at 1 year post-transplant.

resultsThe study included 169 patients. Patients with sarcopenia (n = 55) had fewer DAOHs compared to those without sarcopenia, with a median difference of 17 days (320 vs 337 days; P = 0.004). Patients with sarcopenia had longer index hospitalizations and were also more likely to be discharged to a facility other than home. In a Poisson regression model, sarcopenia was a significant univariable and the strongest multivariable predictor of DAOHs at 1 year (parameter estimate = -0.17, 95% CI -0.19 to -14; P = < 0.0001).

conclusionsPreoperative sarcopenia, diagnosed using the pectoralis muscle-area index, is an independent predictor of poor outcomes after HT. This parameter is easily measurable from commonly obtained preoperative CT scans and may be considered in transplant evaluations.

Indexed as

Heart FailureHeart TransplantationPectoralis MusclesSarcopeniaTomography, X-Ray ComputedAgedFemaleHumansMaleMiddle AgedPreoperative PeriodRetrospective StudiesTreatment Outcomecardiac transplantationoutcomesSarcopenia

Identifiers

PMID38616005
PMCPMC11470966
OpenAlexW4394787129

What OpenQuestion holds

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Registered trials

None linked

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.