Association of Body Mass Index and the Risk of New-Onset Diabetes After Kidney Transplantation: A Meta-analysis

作者：Chang, S.; Jiang, J.^*

来源：Transplantation Proceedings, 2018, 50(5): 1316-1325.

DOI：10.1016/j.transproceed.2018.02.075

• RENAL-ALLOGRAFT RECIPIENTS
• SINGLE-CENTER
• GLUCOSE-METABOLISM
• MELLITUS
• TACROLIMUS
• POLYMORPHISMS
• ADIPONECTIN
• OUTCOMES
• HYPERGLYCEMIA
• MULTICENTER

Objective. To comprehensively examine the correlation between body mass index (BMI) and the risk of new-onset diabetes after kidney transplantation (NODAT).
Methods. The electronic databases Pubmed, Embase, and Cochrane Library, updated in December 2016, were searched, and a literature review was conducted as well to identify relevant research studies. With the use of R 3.12 software, the association between BMI and NODAT risk was analyzed by means of a meta-analysis, with the mean differences (MDs) and their 95% confidence intervals (CIs) as effect indexes. Publication bias was assessed with the use of the Egger test. A sensitivity analysis was performed by excluding 1 study at a time. And the overall morbidity of NODAT was calculated.
Results. In the meta-analysis, 55 eligible studies involving 15,458 kidney transplantation cases were included. After the heterogeneity test, the random-effects model was used to calculate the pooled results of the effect indexes. The results of the meta-analysis showed that BMI was an independent risk factor of NODAT (MD, 1.88; 95% CI, 1.48-2.27). No publication bias was found among the included studies (t = 0.3417; P = 0.7339). The sensitivity analysis revealed that the pooled MD did not reverse after ignoring 1 study at a time. In addition, the overall morbidity of NODAT was 21% (95% CI, 21%-23%).
Conclusions. Our results suggest that BMI is an independent risk factor for NODAT.

• 出版日期2018-6
• 单位华中科技大学