Cheng Fang, Li Qiang, Wang Jinglin, Wang Zhendi, Zeng Fang, Zhang Yu
Department of Pharmacy, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China.
Hubei Province Clinical Research Center for Precision Medicine for Critical Illness, Wuhan 430022, China.
Saudi Pharm J. 2022 Aug;30(8):1088-1094. doi: 10.1016/j.jsps.2022.05.013. Epub 2022 Jun 2.
Post-transplant diabetes mellitus (PTDM) is a known side effect in transplant recipients administered immunosuppressant drugs, such as tacrolimus. This study aimed to investigate the risk factors related to PTDM, and establish a risk prediction model for PTDM. In addition, we explored the effect of PTDM on the graft survival rate of kidney transplantation recipients.
Patients with pre-diabetes mellitus before kidney transplant were excluded, and 495 kidney transplant recipients were included in our study, who were assigned to the non-PTDM and PTDM groups. The cumulative incidence was calculated at 3 months, 6 months, 1 year, 2 years, and 3 years post-transplantation. Laboratory tests were performed and the tacrolimus concentration, clinical prognosis, and adverse reactions were analyzed. Furthermore, binary logistic regression analysis was used to identify the independent risk factors of PTDM.
Age ≥ 45 years (adjusted odds ratio [aOR] 2.25, 95% confidence interval [CI] 1.14-3.92; P = 0.015), body mass index (BMI) > 25 kg/m (aOR 3.12, 95% CI 2.29-5.43, P < 0.001), tacrolimus concentration > 10 ng/mL during the first 3 months post-transplantation (aOR 2.46, 95%CI 1.41-7.38; P < 0.001), transient hyperglycemia (aOR 4.53, 95% CI 1.86-8.03; P < 0.001), delayed graft function (DGF) (aOR 1.31, 95% CI 1.05-2.39; P = 0.019) and acute rejection (aOR 2.16, 95% CI 1.79-4.69; P = 0.005) were identified as independent risk factors of PTDM. The PTDM risk prediction model was developed by including the above six risk factors, and the area under the receiver operating characteristic curve was 0.916 (95% CI 0.862-0.954, P < 0.001). Furthermore, the cumulative graft survival rate was significantly higher in the non- PTDM group than in the PTDM group.
Risk factors related to PTDM were age ≥ 45 years, BMI > 25 kg/m, tacrolimus concentration > 10 ng/mL during the first 3 months post-transplantation, transient hyperglycemia, DGF and acute rejection.
移植后糖尿病(PTDM)是接受免疫抑制剂(如他克莫司)治疗的移植受者中一种已知的副作用。本研究旨在调查与PTDM相关的危险因素,并建立PTDM的风险预测模型。此外,我们还探讨了PTDM对肾移植受者移植物存活率的影响。
排除肾移植前患有糖尿病前期的患者,本研究纳入495例肾移植受者,将其分为非PTDM组和PTDM组。计算移植后3个月、6个月、1年、2年和3年的累积发病率。进行实验室检查,并分析他克莫司浓度、临床预后和不良反应。此外,采用二元逻辑回归分析确定PTDM的独立危险因素。
年龄≥45岁(调整优势比[aOR]2.25,95%置信区间[CI]1.14 - 3.92;P = 0.015)、体重指数(BMI)>25 kg/m²(aOR 3.12,95%CI 2.29 - 5.43,P < 0.001)、移植后前3个月他克莫司浓度>10 ng/mL(aOR 2.46,95%CI 1.41 - 7.38;P < 0.001)、短暂性高血糖(aOR 4.53,95%CI 1.86 - 8.03;P < 0.001)、移植肾功能延迟恢复(DGF)(aOR 1.31,95%CI 1.05 - 2.39;P = 0.019)和急性排斥反应(aOR 2.16,95%CI 1.79 - 4.69;P = 0.005)被确定为PTDM的独立危险因素。通过纳入上述六个危险因素建立了PTDM风险预测模型,受试者操作特征曲线下面积为0.916(95%CI 0.862 - 0.954,P < 0.001)。此外,非PTDM组的累积移植物存活率显著高于PTDM组。
与PTDM相关的危险因素为年龄≥45岁、BMI>25 kg/m²、移植后前3个月他克莫司浓度>10 ng/mL、短暂性高血糖、DGF和急性排斥反应。