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中华移植杂志(电子版) ›› 2024, Vol. 18 ›› Issue (02) : 98 -103. doi: 10.3877/cma.j.issn.1674-3903.2024.02.005

论著

肾移植术后一年发生代谢综合征的危险因素分析
陆婷1, 陈浩2, 王雪静2, 谭若芸2, 彭宇竹3,()   
  1. 1. 211166 南京医科大学公共卫生学院;210029 南京医科大学第一附属医院泌尿外科
    2. 210029 南京医科大学第一附属医院泌尿外科
    3. 211166 南京医科大学公共卫生学院
  • 收稿日期:2023-11-15 出版日期:2024-04-25
  • 通信作者: 彭宇竹
  • 基金资助:
    江苏省科教能力提升工程(ZDXK202219)

Analysis of risk factors of metabolic syndrome after renal transplantation

Ting Lu1, Hao Chen2, Xuejing Wang2, Ruoyun Tan2, Yuzhu Peng3,()   

  1. 1. School of Public Health, Nanjing Medical University, Nanjing 211166, China; Department of Urology, the First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China
    2. Department of Urology, the First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China
    3. School of Public Health, Nanjing Medical University, Nanjing 211166, China
  • Received:2023-11-15 Published:2024-04-25
  • Corresponding author: Yuzhu Peng
引用本文:

陆婷, 陈浩, 王雪静, 谭若芸, 彭宇竹. 肾移植术后一年发生代谢综合征的危险因素分析[J]. 中华移植杂志(电子版), 2024, 18(02): 98-103.

Ting Lu, Hao Chen, Xuejing Wang, Ruoyun Tan, Yuzhu Peng. Analysis of risk factors of metabolic syndrome after renal transplantation[J]. Chinese Journal of Transplantation(Electronic Edition), 2024, 18(02): 98-103.

目的

探讨肾移植术后1年代谢综合征(MS)的发生率及危险因素,构建风险预测模型并评价其预测价值。

方法

回顾性分析2011年1月至2020年12月南京医科大学第一附属医院肾移植中心552例肾移植受者的临床资料。根据肾移植术后1年是否发生MS,分为MS组和非MS组。采用单因素和多因素logistic回归分析进行MS发生的危险因素分析,构建风险预测模型并验证效能。

结果

552例术前无糖尿病的肾移植受者中,术后1年发生MS 81例,发生率为14.67%。多因素分析结果显示肾移植受者有高血压病史(OR=18.392,95%CI: 3.938~85.909)、术前BMI(OR=1.153,95%CI: 1.029~1.292)以及术后服用西罗莫司(OR=2.618,95%CI: 1.030~7.450)、术后1年收缩压(OR=1.033,95%CI: 1.007~1.060)、空腹血糖(OR=9.524,95%CI: 5.727~15.840)和甘油三酯(OR=3.709,95%CI: 2.395~5.745)水平是肾移植术后1年发生MS的独立危险因素(P均<0.05)。构建风险预测模型为:ln(p/1-p)=2.912×高血压病史(否=0,是=1)+0.142×术前BMI(kg/m2)+0.962×术后服用西罗莫司(否=0,是=1)+0.033×术后1年收缩压(mmHg)+2.254×术后1年空腹血糖(mmol/L)+1.311×术后1年甘油三酯(mmol/L)-28.013,受试者工作特征曲线下面积为0.946,最佳截断值为0.183,敏感度为0.889,特异度为0.890,模型预测曲线与理想曲线拟合良好,具有良好的预测能力。

结论

肾移植术后1年发生MS与受者术前高血压病史、BMI以及术后服用西罗莫司、术后1年收缩压、空腹血糖和甘油三酯水平密切相关。医护人员可利用风险预测模型对肾移植受者进行筛查,术前严格控制BMI,术后制订个性化免疫抑制方案、严密监测相关指标,及时识别MS高危人群,实施有针对性的精准干预,减少肾移植术后MS的发生。

Objective

To investigate the incidence and risk factors of metabolic syndrome (MS) one year after renal transplantation.

Methods

The clinical data of 552 kidney transplant recipients in the Kidney Transplant Center of the First Affiliated Hospital of Nanjing Medical University from January 2011 to December 2020 were retrospectively analyzed. According to whether or not MS occurs, it is divided into MS group and non-MS group. Single factor and multiple factor Logistic regression analysis were used to analyze the risk factors of MS occurrence, and the risk prediction model was constructed and the effectiveness was verified.

Results

Among 552 renal transplant recipients without diabetes before operation, 81 cases (14.67%) developed MS one year after operation. Multivariate analysis showed that preoperative hypertension history (OR=18.392, 95%CI: 3.938-85.909), BMI (OR=1.153, 95%CI: 1.029-1.292), and postoperative sirolimus (OR=2.618, 95%CI: 1.030-7.450), systolic blood pressure (OR=1.033, 95%CI: 1.007-1.060), fasting blood glucose (OR=9.524, 95%CI: 5.727-15.840) and triglyceride levels (OR=3.709, 95%CI: 2.395-5.745) were independent risk factors for MS one year after renal transplantation (all P < 0.05). The risk prediction model was constructed as follows: ln(p/1-p)=2.912×preoperative hypertension history+ 0.142×BMI (kg/m2) + 0.962×postoperative sirolimus+ 0.033×postoperative systolic blood pressure (mmHg)+ 2.254×postoperative fasting blood glucose (mmol/L)+ 1.311×postoperative triglyceride (mmol/L)-28.013. The area under the receiver operating characteristic curve is 0.946, the optimal cutoff value is 0.183, the sensitivity is 0.889, the specificity is 0.890. The prediction curve of the model fitted well with the ideal curve and had good prediction ability.

Conclusions

The occurrence of MS one year after renal transplantation is closely related to the recipient′s history of hypertension, preoperative BMI, postoperative sirolimus, postoperative systolic blood pressure, fasting blood glucose and triglyceride levels. Medical staff can use the risk prediction model to conduct risk screening for kidney transplant recipients, strictly control BMI before surgery, formulate personalized immunosuppressive programs after surgery, closely monitor relevant indicators, timely screen and identify high-risk groups of MS, and implement targeted and precise interventions to reduce the occurrence of MS after kidney transplantation.

表1 肾移植受者术后1年发生MS的术前危险因素单因素分析
表2 肾移植受者术后1年发生MS的术后危险因素单因素分析
表3 肾移植术后1年发生MS的危险因素多因素logistic回归分析
图1 肾移植术后1年发生代谢综合征风险预测模型的受试者工作特征曲线
表4 肾移植术后1年发生MS的风险预测模型各因素最佳临界值及其对应的敏感度和特异度
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