{"title":"儿童心脏移植免疫风险分层的联合分子错配评分。","authors":"Mitchell A Ellison, Qingyong Xu, Adriana Zeevi","doi":"10.1097/MOT.0000000000001255","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose of review: </strong>This article will review the use of HLA molecular mismatch algorithms to predict the risk of de-novo DSA and rejection in pediatric heart transplant recipients. Here, we will focus on results obtained using the combined algorithm approach pairing HLAMatchmaker or HLA-EMMA with PIRCHE-II.</p><p><strong>Recent findings: </strong>The combined algorithm approach was recently used to assess risk of de-novo DSA and rejection in a pediatric heart transplant cohort from Clinical Trials in Organ Transplant in Children 04/09. This approach to analyzing HLA molecular mismatch data allowed for a more granular assessment of de-novo DSA and rejection risk than any individual algorithm.</p><p><strong>Summary: </strong>Advances in HLA molecular mismatch methods may enable personalized immunosuppression management that improves outcomes of pediatric heart transplant recipients.</p>","PeriodicalId":10900,"journal":{"name":"Current Opinion in Organ Transplantation","volume":" ","pages":"418-424"},"PeriodicalIF":2.5000,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Combined molecular mismatch scores for immunologic risk stratification in pediatric heart transplantation.\",\"authors\":\"Mitchell A Ellison, Qingyong Xu, Adriana Zeevi\",\"doi\":\"10.1097/MOT.0000000000001255\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Purpose of review: </strong>This article will review the use of HLA molecular mismatch algorithms to predict the risk of de-novo DSA and rejection in pediatric heart transplant recipients. Here, we will focus on results obtained using the combined algorithm approach pairing HLAMatchmaker or HLA-EMMA with PIRCHE-II.</p><p><strong>Recent findings: </strong>The combined algorithm approach was recently used to assess risk of de-novo DSA and rejection in a pediatric heart transplant cohort from Clinical Trials in Organ Transplant in Children 04/09. This approach to analyzing HLA molecular mismatch data allowed for a more granular assessment of de-novo DSA and rejection risk than any individual algorithm.</p><p><strong>Summary: </strong>Advances in HLA molecular mismatch methods may enable personalized immunosuppression management that improves outcomes of pediatric heart transplant recipients.</p>\",\"PeriodicalId\":10900,\"journal\":{\"name\":\"Current Opinion in Organ Transplantation\",\"volume\":\" \",\"pages\":\"418-424\"},\"PeriodicalIF\":2.5000,\"publicationDate\":\"2025-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Current Opinion in Organ Transplantation\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1097/MOT.0000000000001255\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/10/3 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q3\",\"JCRName\":\"TRANSPLANTATION\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Current Opinion in Organ Transplantation","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1097/MOT.0000000000001255","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/10/3 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"TRANSPLANTATION","Score":null,"Total":0}
Combined molecular mismatch scores for immunologic risk stratification in pediatric heart transplantation.
Purpose of review: This article will review the use of HLA molecular mismatch algorithms to predict the risk of de-novo DSA and rejection in pediatric heart transplant recipients. Here, we will focus on results obtained using the combined algorithm approach pairing HLAMatchmaker or HLA-EMMA with PIRCHE-II.
Recent findings: The combined algorithm approach was recently used to assess risk of de-novo DSA and rejection in a pediatric heart transplant cohort from Clinical Trials in Organ Transplant in Children 04/09. This approach to analyzing HLA molecular mismatch data allowed for a more granular assessment of de-novo DSA and rejection risk than any individual algorithm.
Summary: Advances in HLA molecular mismatch methods may enable personalized immunosuppression management that improves outcomes of pediatric heart transplant recipients.
期刊介绍:
Current Opinion in Organ Transplantation is an indispensable resource featuring key, up-to-date and important advances in the field from around the world. Led by renowned guest editors for each section, every bimonthly issue of Current Opinion in Organ Transplantation delivers a fresh insight into topics such as stem cell transplantation, immunosuppression, tolerance induction and organ preservation and procurement. With 18 sections in total, the journal provides a convenient and thorough review of the field and will be of interest to researchers, surgeons and other healthcare professionals alike.