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American Heart Association

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Final ID: Su1060

Optimal threshold of donor-derived cell-free DNA for detection of cardiac transplant rejection: a meta-analysis

Abstract Body (Do not enter title and authors here): Background
Plasma donor-derived cell-free DNA (dd-cfDNA) has emerged as a biomarker for acute heart transplant rejection as a potential adjunct to endomyocardial biopsy (EMBx). However, an established threshold for dd-cfDNA in acute cardiac transplant rejection is lacking, with prior studies employing different study specific thresholds. This meta-analysis aims to assess the overall diagnostic accuracy of dd-cfDNA across various cutoffs and provide an optimal threshold.
Method
PubMed and Web of Science were searched for relevant publications reporting on the use of dd-cfDNA for the detection of acute cardiac transplant rejection defined as acute cellular rejection (ACR) and/or antibody-mediated rejection (AMR), with EMBx as the reference standard. Pooled sensitivity and specificity were estimated across different thresholds of dd-cfDNA across studies. The optimal dd-cfDNA threshold was estimated by specificity and 1-sensitivity in each data point pooled with fractional polynomial models, maximizing the Youden index between these models.
Results
Out of 247 screened papers, 13 studies were included, comprising 12,017 samples from 3,723 patients. Twelve studies used both ACR and AMR and one study used only ACR for the definition of transplant rejection. The thresholds of dd-cfDNA varied across studies, ranging from 0.1 to 0.35 (Figure A). The overall pooled sensitivity and specificity for detecting acute transplant rejection were 0.68 (95% CI: 0.58-0.77) and 0.82 (95% CI: 0.74-0.88) respectively. The areas under the hierarchical modeling-based summary receiver-operating characteristics (sROC) curves were 0.82 (95% CI: 0.78-0.85). Specificity increased with higher thresholds while sensitivity decreased (Figure A and B). The optimal dd-cfDNA threshold derived from combining all included studies was 0.218.
Conclusion
Dd-cfDNA assay demonstrates high diagnostic accuracy for acute cardiac transplant rejection, particularly notable for its high specificity. However, there exists significant inconsistency in dd-cfDNA thresholds across studies. Increasing the threshold leads to a trade-off between increased specificity and decreased sensitivity. A cutoff of 0.22 may be considered for dd-cfDNA screening for heart transplant rejection.
  • Shah, Kunal  ( Cedars Sinai Medical Center , Los Angeles , California , United States )
  • Patel, Jignesh  ( Cedars-Sinai Smidt Heart Institute , Beverly Hills , California , United States )
  • Berman, Daniel  ( Cedars-Sinai Smidt Heart Institute , Beverly Hills , California , United States )
  • Kobashigawa, Jon  ( Cedars-Sinai Smidt Heart Institute , Beverly Hills , California , United States )
  • Han, Donghee  ( Cedars Sinai Medical Center , Los Angeles , California , United States )
  • Kim, In-cheol  ( Keimyung University Dongsan Hospital , Daegu , Korea (the Republic of) )
  • Stern, Lily  ( Cedars-Sinai Smidt Heart Institute , Beverly Hills , California , United States )
  • Kransdorf, Evan  ( Cedars-Sinai Smidt Heart Institute , Beverly Hills , California , United States )
  • Chang, David  ( Cedars-Sinai Smidt Heart Institute , Beverly Hills , California , United States )
  • Hamilton, Michele  ( Cedars-Sinai Smidt Heart Institute , Beverly Hills , California , United States )
  • Nikolova, Andriana  ( Cedars-Sinai Smidt Heart Institute , Beverly Hills , California , United States )
  • Kittleson, Michelle  ( Cedars-Sinai Smidt Heart Institute , Beverly Hills , California , United States )
  • Author Disclosures:
    Kunal Shah: DO NOT have relevant financial relationships | Jignesh Patel: No Answer | Daniel Berman: DO have relevant financial relationships ; Consultant:GE Healthcare:Past (completed) ; Royalties/Patent Beneficiary:Cedars-Sinai Medical Center:Active (exists now) ; Research Funding (PI or named investigator):Miriam and Sheldon G. Adelson Research Foundation:Active (exists now) | Jon Kobashigawa: No Answer | Donghee Han: DO NOT have relevant financial relationships | In-Cheol Kim: No Answer | Lily Stern: DO NOT have relevant financial relationships | Evan Kransdorf: DO NOT have relevant financial relationships | David Chang: DO have relevant financial relationships ; Individual Stocks/Stock Options:ABBV:Active (exists now) ; Research Funding (PI or named investigator):Biokardia:Active (exists now) ; Research Funding (PI or named investigator):Mesoblast:Past (completed) ; Research Funding (PI or named investigator):Amgen:Past (completed) ; Individual Stocks/Stock Options:Repligen:Active (exists now) ; Individual Stocks/Stock Options:Amarin:Active (exists now) ; Individual Stocks/Stock Options:Abbot:Active (exists now) | Michele Hamilton: DO NOT have relevant financial relationships | Andriana Nikolova: DO NOT have relevant financial relationships | Michelle Kittleson: DO NOT have relevant financial relationships
Meeting Info:

Scientific Sessions 2024

2024

Chicago, Illinois

Session Info:

Leading Clinical Research in Heart Failure

Sunday, 11/17/2024 , 11:30AM - 12:30PM

Abstract Poster Session

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The Outcome of Restrictive Cardiac Allograft Physiology in Severe Coronary Allograft Vasculopathy

Tsuji Masaki, Patel Jignesh, Kittleson Michelle, Chang David, Kransdorf Evan, Nikolova Andriana, Stern Lily, Bhatnagar Nayana, Kobashigawa Jon

Diagnostic Accuracy of Non-Invasive Assessments for Detecting Cardiac Transplant Rejection: A Meta-Analysis

Han Donghee, Patel Jignesh, Berman Daniel, Kobashigawa Jon, Shah Kunal, Kim In-cheol, Stern Lily, Kransdorf Evan, Chang David, Hamilton Michele, Nikolova Andriana, Kittleson Michelle

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