Evidence map›Paper›PMID 38460620›Full record

ArticleThe Journal of heart and lung transplantation : the official publication of the International Society for Heart Transplantation2024

Sex-specific patterns of donor-derived cell-free DNA in heart transplant rejection: An analysis from the Genomic Research Alliance for Transplantation (GRAfT).

Ersilia M DeFilippis, Benjamin Sweigart, Kiran K Khush, Palak Shah, Sean Agbor-Enoh, Hannah A Valantine, Amanda R Vest

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In one paragraph

Article in The Journal of heart and lung transplantation : the official publication of the International Society for Heart Transplantation, 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
3.4field-weighted citation impact, top 8% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  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

7 authors at 5 institutions in 1 country.

Ersilia M DeFilippisDivision of Cardiology, Center for Advanced Cardiac Care, Columbia University Irving Medical Center, New York, New York.
Benjamin SweigartTufts Clinical and Translational Science Institute, Tufts Medical Center, Boston, Massachusetts.
Kiran K KhushDivision of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, California.
Palak ShahHeart Failure, Mechanical Circulatory Support and Transplant, Inova Schar Heart and Vascular, Falls Church, Virginia.
Sean Agbor-EnohDivision of Intramural Research, National Heart Lung and Blood Institute, National Institutes of Health, Bethesda, Maryland.
Hannah A ValantineDivision of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, California.
Amanda R VestDivision of Cardiology, Tufts Medical Center, Boston, Massachusetts. Electronic address: amandavest@hotmail.co.uk.
Stanford University · USTufts Medical Center · USAlaska Heart and Vascular Institute · USColumbia University Irving Medical Center · USNational Institutes of Health · US

Funding

MicroRNA Biomarkers of Allograft Rejection and Cardiac Allograft Vasculopathy in Cardiac TransplantationK23HL143179 · NHLBI · INOVA HEALTH CARE SERVICES · PI SHAH, PALAK · 2020 to 2024
$927k
NHLBI NIH HHS HHSN268201300001CNHLBI NIH HHS K23 HL143179
6 · The paper itself

Abstract

backgroundNoninvasive methods for surveillance of acute rejection are increasingly used in heart transplantation (HT), including donor-derived cell-free DNA (dd-cfDNA). As other cardiac biomarkers differ by sex, we hypothesized that there may be sex-specific differences in the performance of dd-cfDNA for the detection of acute rejection. The purpose of the current study was to examine patterns of dd-cfDNA seen in quiescence and acute rejection in male and female transplant recipients.

methodsPatients enrolled in the Genomic Research Alliance for Transplantation who were ≥18 years at the time of HT were included. Rejection was defined by endomyocardial biopsy with acute cellular rejection (ACR) grade ≥2R and/or antibody-mediated rejection ≥ pAMR 1. dd-cfDNA was quantitated using shotgun sequencing. Median dd-cfDNA levels were compared between sexes during quiescence and rejection. The performance of dd-cfDNA by sex was assessed using area under the receiver operator characteristic (AUROC) curve. Allograft injury was defined as dd-cfDNA ≥0.25%.

resultsOne hundred fifty-one unique patients (49 female, 32%) were included in the analysis with 1,119 available dd-cfDNA measurements. Baseline characteristics including demographics and comorbidities were not significantly different between sexes. During quiescence, there were no significant sex differences in median dd-cfDNA level (0.04% [IQR 0.00, 0.16] in females vs 0.03% [IQR 0.00, 0.12] in males, p = 0.22). There were no significant sex differences in median dd-cfDNA for ACR (0.33% [0.21, 0.36] in females vs 0.32% [0.21, 1.10] in males, p = 0.57). Overall, median dd-cfDNA levels were higher in antibody-mediated rejection (AMR) than ACR but did not significantly differ by sex (0.50% [IQR 0.18, 0.82] in females vs 0.63% [IQR 0.32, 1.95] in males, p = 0.51). Elevated dd-cfDNA detected ACR/AMR with an AUROC of 0.83 in females and 0.89 in males, p-value for comparison = 0.16.

conclusionsThere were no significant sex differences in dd-cfDNA levels during quiescence and rejection. Performance characteristics were similar, suggesting similar diagnostic thresholds can be used in men and women for rejection surveillance.

Indexed as

Cell-Free Nucleic AcidsGraft RejectionHeart TransplantationTissue DonorsAdultBiomarkersFemaleGenomicsHumansMaleMiddle AgedSex FactorsBiomarkersCell-Free Nucleic Acidsdonor-derived cell-free DNAendomyocardial biopsyheart transplantationrejectionsex differences

Identifiers

PMID38460620
PMCPMC11144097
OpenAlexW4392563664

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.