JOURNAL ARTICLE
Efficacy of bortezomib desensitization among heart transplant candidates.
Published In: Clinical Transplantation, 2023, v. 37, n. 4. P. 1 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Brinkley, D. Marshall; Mangione, MariaSanta; Fossey, Sallyanne C.; Harrison, Kimberly M; Zalawadiya, Sandip; Rali, Aniket S.; Siddiqi, Hasan K.; Lindenfeld, JoAnn; Schlendorf, Kelly H. 3 of 3
Abstract
Allosensitization is prevalent in heart transplant candidates and is associated with prolonged waiting times and poor outcomes following transplantation. We analyzed the efficacy of a desensitization regimen consisting of plasma exchange, intravenous immunoglobulin, and bortezomib among 25 consecutive sensitized waitlisted candidates at our center from 2016 to 2021. Following desensitization therapies, all C1q negative antibodies were removed from a candidate's unacceptable antigen list. There was a significant decrease in the median number of human leukocyte antigen (HLA) class I (21–15, p =.001) but not class II antibodies (7–6.5, p =.07). There was a significant corresponding decrease in median calculated panel reactive antibodies for class I (90%–74%, p =.004) but not class II (74.5%–75.5%, p =.30). Following desensitization, 76% of patients were transplanted at a median of 91 days. One‐year survival following transplant was 89% with a 33% rate of antibody‐mediated rejection (AMR). In conclusion, a bortezomib desensitization protocol was modestly effective for class I antibodies and allowed successful transplant in most cases when combined with selective crossing of C1q negative antigens. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Clinical Transplantation. 2023/04, Vol. 37, Issue 4, p1
- Document Type:Article
- Subject Area:Health and Medicine
- Publication Date:2023
- ISSN:0902-0063
- DOI:10.1111/ctr.14907
- Accession Number:163021259
- Copyright Statement:Copyright of Clinical Transplantation is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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