Evidence map›Paper›PMID 38180429›Full record

ArticleJACC. Heart failure2024

Gender and Race Differences in HeartMate3 Left Ventricular Assist Device as a Bridge to Transplantation.

Rebecca S Steinberg, Alexis K Okoh, Jeffrey Wang, Krishan J Patel, Apoorva Gangavelli, Aditi Nayak, Yi-An Ko, Divya Gupta, Mani Daneshmand, J David Vega and 1 more

Abstract read
In one paragraph

Article in JACC. Heart failure, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Review
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

11 authors.

Rebecca S SteinbergDivision of Cardiology, Emory University, Atlanta, Georgia, USA.
Alexis K OkohDivision of Cardiology, Emory University, Atlanta, Georgia, USA.
Jeffrey WangDivision of Cardiology, Emory University, Atlanta, Georgia, USA.
Krishan J PatelDivision of Cardiology, Emory University, Atlanta, Georgia, USA.
Apoorva GangavelliDivision of Cardiology, Emory University, Atlanta, Georgia, USA.
Aditi NayakDivision of Cardiovascular Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Yi-An KoRollins School of Public Health, Emory University, Atlanta, Georgia, USA.
Divya GuptaDivision of Cardiology, Emory University, Atlanta, Georgia, USA.
Mani DaneshmandDivision of Surgery, Emory University, Atlanta, Georgia, USA.
J David VegaDivision of Surgery, Emory University, Atlanta, Georgia, USA.
Alanna A MorrisDivision of Cardiology, Emory University, Atlanta, Georgia, USA. Electronic address: aamorr3@emory.edu.

Funding

Research Trainng in Academic CardiologyT32HL007745 · NHLBI · EMORY UNIVERSITY · PI TAYLOR, WILLIAM ROBERT · 1994 to 2023
$10.6M
Multidisciplinary Research Training to Reduce Inequities in Cardiovascular HealthT32HL130025 · NHLBI · EMORY UNIVERSITY · PI Tené T Lewis, Viola Vaccarino · 2016 to 2026
$6.4M
Emory R38 Research Training ProgramR38AI140299 · NIAID · EMORY UNIVERSITY · PI OFOTOKUN, IGHOVWERHA, ROUPHAEL, NADINE GEORGES · 2018 to 2021
$1.4M
AHRQ HHS R01 HS026081NHLBI NIH HHS T32 HL007745NHLBI NIH HHS T32 HL130025NIAID NIH HHS R38 AI140299
6 · The paper itself

Abstract

backgroundGender and racial disparities exist after left ventricular assist device (LVAD) implantation. Compared with older devices, the HeartMate 3 (HM3) (Abbott Cardiovascular) has demonstrated improved survival. Whether HM3 differentially improves outcomes by gender or race and ethnic groups is unknown.

objectivesThe purpose of this study is to examine differences by gender and race in the use of HM3 among patients listed for heart transplantation (HT) and associated waitlist and post-transplant outcomes.

methodsThe authors examined all patients (20% women, 33% Black) who received LVADs as bridge to transplantation (BTT) between January 2018 and June 2020, in the OPTN (Organ Procurement and Transplantation Network) database. Trends in use of HM3 were evaluated by gender and race. Competing events of death/delisting and transplantation were evaluated using subdistribution hazard models. Post-transplant outcomes were evaluated using multivariate logistic regression adjusted for demographic, clinical, and donor characteristics.

resultsOf 11,524 patients listed for HT during the study period, 955 (8.3%) had HM3 implanted as BTT. Use of HM3 increased for all patients, with no difference in use by gender (P = 0.4) or by race (P = 0.2). Competing risk analysis did not demonstrate differences in transplantation or death/delisting in men compared with women (HT: adjusted HR [aHR]: 0.92 [95% CI: 0.70-1.21]; death/delisting: aHR: 0.91 [95% CI: 0.59-1.42]), although Black patients were transplanted fewer times than White patients (HT: aHR: 0.72 [95% CI: 0.57-0.91], death/delisting: aHR: 1.36 [95% CI: 0.98-1.89]). One-year post-transplant survival was comparable by gender (aHR: 0.52 [95% CI: 0.21-1.70]) and race (aHR: 0.76 [95% CI: 0.34-1.70]), with no differences in rates of stroke, acute rejection, or graft failure.

conclusionsUse of HM3 among patients listed for HT has increased over time and by gender and race. Black patients with HM3 were less likely to be transplanted compared with White patients, but there were no differences in post-transplant outcomes between these groups or between men and women.

Indexed as

Heart-Assist DevicesHeart FailureHeart TransplantationWaiting ListsAdultAgedBlack or African AmericanFemaleHumansMaleMiddle AgedRacial GroupsRetrospective StudiesSex FactorsUnited StatesWhitebridge to transplantdisparitiesgenderheart failureHeartMate3left ventricular assist devicerace

Identifiers

PMID38180429
PMCPMC12455850

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.