Chengbo Ai, Jiulin Song, Chi Yuan, Gang Xu, Jian Yang, Tao Lv, Shuguang Jin, Hong Wu, Bo Xiang, Jiayin Yang
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These data were analyzed to develop the prediction model.</p><p><strong>Result: </strong>The incidence of TCMR was higher in pediatric LT recipients than in adults (17.6% vs. 6.4%, P < 0.001). In adult recipients, seven predictors were identified: donor sex, recipient age, recipient height, and post-transplant levels of serum direct bilirubin, urea, platelets, and neutrophil-to-lymphocyte ratio. In pediatric recipients, four predictors were identified: post-transplant levels of serum monocyte percentage, direct bilirubin, albumin, and gamma-glutamyl transferase. The area under the model's curve incorporating these variables for predicting TCMR after LT was 0.713 (95% confidence interval, CI: 0.655-0.770) in adults and 0.786 (95% CI: 0.675-0.896) in children. Decision curve analyses demonstrated the clinical significance of the model.</p><p><strong>Conclusion: </strong>This study developed a prediction model that may be useful in identifying high-TCMR-risk populations in both adult and pediatric LT recipients.</p>","PeriodicalId":14401,"journal":{"name":"International journal of surgery","volume":" ","pages":"2827-2837"},"PeriodicalIF":10.1000,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12175804/pdf/","citationCount":"0","resultStr":"{\"title\":\"Prediction model of the T cell-mediated rejection after liver transplantation in children and adults: A case-controlled study.\",\"authors\":\"Chengbo Ai, Jiulin Song, Chi Yuan, Gang Xu, Jian Yang, Tao Lv, Shuguang Jin, Hong Wu, Bo Xiang, Jiayin Yang\",\"doi\":\"10.1097/JS9.0000000000002279\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objective: </strong>T cell-mediated rejection (TCMR) is a major concern following liver transplantation (LT), and identifying its predictors could help improve post-transplant prognosis. 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The area under the model's curve incorporating these variables for predicting TCMR after LT was 0.713 (95% confidence interval, CI: 0.655-0.770) in adults and 0.786 (95% CI: 0.675-0.896) in children. Decision curve analyses demonstrated the clinical significance of the model.</p><p><strong>Conclusion: </strong>This study developed a prediction model that may be useful in identifying high-TCMR-risk populations in both adult and pediatric LT recipients.</p>\",\"PeriodicalId\":14401,\"journal\":{\"name\":\"International journal of surgery\",\"volume\":\" \",\"pages\":\"2827-2837\"},\"PeriodicalIF\":10.1000,\"publicationDate\":\"2025-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12175804/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International journal of surgery\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1097/JS9.0000000000002279\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"SURGERY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International journal of surgery","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1097/JS9.0000000000002279","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"SURGERY","Score":null,"Total":0}
引用次数: 0
摘要
目的:T细胞介导的排斥反应(TCMR)是肝移植(LT)后的主要问题,确定其预测因素有助于改善移植后预后。本研究旨在建立预测儿童和成人移植后TCMR风险的模型。方法:2015年1月1日至2022年1月1日期间,从医院和大学获得1221名移植前人口统计学特征、术中参数,尤其是移植后早期实验室数据(1096名成人和125名儿童)。对这些数据进行分析,建立预测模型。结果:小儿肝移植受者TCMR发生率高于成人(17.6% vs. 6.4%, p < 0.001)。在成人受者中,确定了七个预测因素:供者性别、受者年龄、受者身高、移植后血清直接胆红素水平、尿素、血小板和中性粒细胞与淋巴细胞比率。在儿童受者中,确定了四个预测因素:移植后血清单核细胞百分比水平、直接胆红素、白蛋白和γ -谷氨酰转移酶。纳入这些变量的模型曲线下面积用于预测术后TCMR,成人为0.713 (95% CI: 0.655-0.770),儿童为0.786 (95% CI: 0.675-0.896)。决策曲线分析证实了该模型的临床意义。结论:本研究建立了一种预测模型,可用于识别成人和儿童肝移植受体中高tcmr风险人群。
Prediction model of the T cell-mediated rejection after liver transplantation in children and adults: A case-controlled study.
Objective: T cell-mediated rejection (TCMR) is a major concern following liver transplantation (LT), and identifying its predictors could help improve post-transplant prognosis. This study aimed to develop a model to predict the risk of TCMR in children and adults after LT.
Method: Pre-transplant demographic characteristics, intraoperative parameters, and especially early post-transplant laboratory data for 1221 LT recipients (1096 adults and 125 children) were obtained from the Hospital, University, between 1 January 2015, and 1 January 2022. These data were analyzed to develop the prediction model.
Result: The incidence of TCMR was higher in pediatric LT recipients than in adults (17.6% vs. 6.4%, P < 0.001). In adult recipients, seven predictors were identified: donor sex, recipient age, recipient height, and post-transplant levels of serum direct bilirubin, urea, platelets, and neutrophil-to-lymphocyte ratio. In pediatric recipients, four predictors were identified: post-transplant levels of serum monocyte percentage, direct bilirubin, albumin, and gamma-glutamyl transferase. The area under the model's curve incorporating these variables for predicting TCMR after LT was 0.713 (95% confidence interval, CI: 0.655-0.770) in adults and 0.786 (95% CI: 0.675-0.896) in children. Decision curve analyses demonstrated the clinical significance of the model.
Conclusion: This study developed a prediction model that may be useful in identifying high-TCMR-risk populations in both adult and pediatric LT recipients.
期刊介绍:
The International Journal of Surgery (IJS) has a broad scope, encompassing all surgical specialties. Its primary objective is to facilitate the exchange of crucial ideas and lines of thought between and across these specialties.By doing so, the journal aims to counter the growing trend of increasing sub-specialization, which can result in "tunnel-vision" and the isolation of significant surgical advancements within specific specialties.