已发表论文

移植前代谢综合征及其组成可预测接受第一次肾移植的中国患者的移植后糖尿病

 

Authors Cai R, Wu M, Xing YF

Received 8 October 2018

Accepted for publication 25 January 2019

Published 14 March 2019 Volume 2019:15 Pages 497—503

DOI https://doi.org/10.2147/TCRM.S190185

Checked for plagiarism Yes

Review by Single-blind

Peer reviewers approved by Dr Justinn Cochran

Peer reviewer comments 2

Editor who approved publication: Professor Deyun Wang

Background: Post-transplantation diabetes mellitus (PTDM) remains a major clinical challenge following renal transplant. Identification of pretransplant modifiable risk factors may allow timely interventions to prevent PTDM. This study aims to determine whether pretransplant metabolic syndrome and its components are able to predict PTDM in Chinese patients receiving their first renal transplant.
Patients and methods: We conducted a single-center retrospective study of 633 non-diabetic patients receiving a first kidney transplant. PTDM was diagnosed between 1 month and 1 year post-transplant. Multivariable logistic regression and Cox proportional hazards model were applied to detect potential pretransplant risk factors for PTDM.
Results: One year post-transplant, 26.2% of recipients had developed PTDM. PTDM patients had significantly higher fasting plasma glucose (FPG) (=0.026) and body mass index (BMI) (=0.006) than non-PRDM patients, and lower levels of high-density lipoprotein cholesterol (=0.015). The presence of metabolic syndrome was an independent risk factor for PTDM, as assessed by multivariable logistic regression analysis (OR 1.28, 95% CI 1.04–1.51, =0.038) and Cox proportional hazards model (OR 2.75, 95% CI 1.45–6.05, =0.021). Moreover, both FPG >5.6 mmol/L and BMI >28 kg/m2 (obesity) were able to predict PTDM.
Conclusion: Our results suggest that the presence of metabolic syndrome and its components, impaired fasting glycemia and obesity, are independent risk factors for PTDM in Chinese non-diabetic patients receiving a first renal transplant. Interventions aimed at improving pretransplant metabolic syndrome may reduce the incidence of PTDM.
Keywords: post-transplantation diabetes mellitus, renal transplant, metabolic syndrome, body mass index, fasting plasma glucose



Table 2 Univariate and multivariable logistic regression analyses for prediction of risk factors of PTDM