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使用CT容积软件量化“肾单位数量”预测活体供肾移植后的早期移植肾功能

Prediction of early graft function after living donor kidney transplantation by quantifying the "nephron mass" using CT-volumetric software.

作者信息

Takahashi Kazuhiro, Furuya Kinji, Gosho Masahiko, Usui Joichi, Kimura Tomokazu, Hoshi Akio, Hashimoto Shinji, Nishiyama Hiroyuki, Oda Tatsuya, Yuzawa Kenji, Yamagata Kunihiro

机构信息

Department of Gastrointestinal and Hepato-Biliary-Pancreatic Surgery, University of Tsukuba, Tsukuba, Japan.

Department of Biostatistics, University of Tsukuba, Tsukuba, Japan.

出版信息

Front Med (Lausanne). 2022 Oct 28;9:1007175. doi: 10.3389/fmed.2022.1007175. eCollection 2022.

DOI:10.3389/fmed.2022.1007175
PMID:36388906
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9649930/
Abstract

Early renal function after living-donor kidney transplantation (LDKT) depends on the "nephron mass" in the renal graft. In this study, as a possible donor-recipient size mismatch parameter that directly reflects the "nephron mass," the cortex to recipient weight ratio (CRWR) was calculated by CT-volumetric software, and its ability to predict early graft function was examined. One hundred patients who underwent LDKT were enrolled. Patients were classified into a developmental cohort ( = 79) and a validation cohort ( = 21). Using the developmental cohort, the correlation coefficients between size mismatch parameters, including CRWR, and the posttransplantation estimated glomerular filtration rate (eGFR) were calculated. Multiple regression analysis was conducted to define a formula to predict eGFR 1-month posttransplantation. Using the validation cohort, the validity of the formula was examined. The correlation coefficient was the highest for CRWR (1-month = 0.66, < 0.001). By multiple regression analysis, eGFR at 1-month was predicted using the linear model: 0.23 × donor preoperative eGFR + 17.03 × CRWR + 8.96 × preemptive transplantation + 5.10 (adjusted coefficient of determination = 0.54). In most patients in the validation cohort, the observed eGFR was within a 10 ml/min/1.73 m margin of the predicted eGFR. CRWR was the strongest parameter to predict early graft function. Predicting renal function using this formula could be useful in clinical application to select proper donors and to avoid unnecessary postoperative medical interventions.

摘要

活体供肾肾移植(LDKT)后的早期肾功能取决于移植肾的“肾单位数量”。在本研究中,作为可能直接反映“肾单位数量”的供受者大小不匹配参数,通过CT容积软件计算皮质与受者体重比(CRWR),并检验其预测早期移植肾功能的能力。纳入100例行LDKT的患者。患者被分为一个发育队列(n = 79)和一个验证队列(n = 21)。利用发育队列,计算包括CRWR在内的大小不匹配参数与移植后估计肾小球滤过率(eGFR)之间的相关系数。进行多元回归分析以确定预测移植后1个月eGFR的公式。利用验证队列检验该公式的有效性。CRWR的相关系数最高(1个月时r = 0.66,P < 0.001)。通过多元回归分析,使用线性模型预测1个月时的eGFR:0.23×供者术前eGFR + 17.03×CRWR + 8.96×抢先移植 + 5.10(调整决定系数 = 0.54)。在验证队列的大多数患者中,观察到的eGFR在预测eGFR的10 ml/min/1.73 m范围内。CRWR是预测早期移植肾功能的最强参数。使用该公式预测肾功能在临床应用中可能有助于选择合适的供者并避免不必要的术后医疗干预。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0496/9649930/b15d70b34e0a/fmed-09-1007175-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0496/9649930/2cd43e0acd21/fmed-09-1007175-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0496/9649930/bb8eb6b873e1/fmed-09-1007175-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0496/9649930/efd558b81ba2/fmed-09-1007175-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0496/9649930/b15d70b34e0a/fmed-09-1007175-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0496/9649930/2cd43e0acd21/fmed-09-1007175-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0496/9649930/bb8eb6b873e1/fmed-09-1007175-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0496/9649930/efd558b81ba2/fmed-09-1007175-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0496/9649930/b15d70b34e0a/fmed-09-1007175-g004.jpg

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The ERA Registry Annual Report 2019: summary and age comparisons.《2019年ERA注册机构年度报告:总结与年龄比较》
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Late Graft Loss After Kidney Transplantation: Is "Death With Function" Really Death With a Functioning Allograft?肾移植后晚期移植物丢失:“带功死亡”真的是指带功能移植物的死亡吗?
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