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时间更新的成纤维细胞生长因子23可预测肾移植受者移植后糖尿病

Time-updated Fibroblast Growth Factor 23 Is Predictive for Posttransplant Diabetes Mellitus in Kidney Transplant Recipients.

作者信息

van der Vaart Amarens, Kremer Daan, Niekolaas Tessa, Bakker Stephan J L, van Dijk Peter R, de Borst Martin H

机构信息

Department of Internal Medicine, Divisions of Nephrology, University Medical Center Groningen, University of Groningen, 9700 RB Groningen, the Netherlands.

Endocrinology, University Medical Center Groningen, University of Groningen, Groningen, 9700 RB Groningen, the Netherlands.

出版信息

J Endocr Soc. 2024 Apr 4;8(5):bvae055. doi: 10.1210/jendso/bvae055. eCollection 2024 Mar 12.

Abstract

OBJECTIVE

This work aimed to study whether fibroblast growth factor 23 (FGF23) is predictive for incident posttransplant diabetes mellitus (PTDM) in kidney transplant recipients (KTRs).

METHODS

We repeatedly analyzed plasma C-terminal FGF23 concentrations in 170 KTRs enrolled in the TransplantLines Biobank and Cohort Study. Associations of time-updated plasma FGF23 with incident PTDM were studied by Cox regression.

RESULTS

A total of 170 KTRs (46% female, aged 54.4 ± 12.4 years) with 540 FGF23 measurements were included. Plasma FGF23 concentrations at transplantation were 31.1 (0.76-2576) pmol/L. During a follow-up of 24 (12-24) months, 38 patients developed PTDM. The highest FGF23 tertile (compared to the lowest) was associated with an increased risk for PTDM (fully adjusted hazard ratio 20.9; 95% CI, 3.4-130.0; < .001).

CONCLUSION

In KTRs without diabetes at baseline, the highest tertile of FGF23, compared to the lowest, is predictive for development of PTDM.

摘要

目的

本研究旨在探讨成纤维细胞生长因子23(FGF23)是否可预测肾移植受者(KTRs)发生移植后糖尿病(PTDM)。

方法

我们对纳入移植生物样本库和队列研究的170例KTRs的血浆C末端FGF23浓度进行了重复分析。通过Cox回归研究随时间变化的血浆FGF23与新发PTDM之间的关联。

结果

共纳入170例KTRs(46%为女性,年龄54.4±12.4岁),进行了540次FGF23测量。移植时血浆FGF23浓度为31.1(0.76 - 2576)pmol/L。在24(12 - 24)个月的随访期间,38例患者发生了PTDM。FGF23最高三分位数(与最低三分位数相比)与PTDM风险增加相关(完全调整后的风险比为20.9;95%可信区间,3.4 - 130.0;P <.001)。

结论

在基线无糖尿病的KTRs中,FGF23最高三分位数与最低三分位数相比,可预测PTDM的发生。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6f13/10993900/3a08c56ce0d9/bvae055f1.jpg

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