肝移植受者西罗莫司谷浓度影响因素分析及列线图预测模型构建

    Analysis of Influencing Factors and Construction of a Nomogram Prediction Model for Sirolimus Trough Concentration in Liver Transplant Recipients

    • 摘要:
      目的  探讨肝移植受者免疫抑制剂西罗莫司全血谷浓度脱离靶范围(4~10 ng·mL−1)的危险因素,并构建列线图风险预测模型。
      方法 回顾性收集2023年12月至2025年8月于北京清华长庚医院进行西罗莫司治疗药物监测(therapeutic drug monitoring,TDM)的肝移植受者临床资料,包括人口学特征、用药方案、谷浓度、实验室检查及不良反应等。采用高效液相色谱-串联质谱法测定西罗莫司全血谷浓度,采用Mann-Whitney U检验、χ2检验及Lasso回归分析谷浓度脱靶的危险因素,并建立列线图模型。
      结果 共纳入68例患者,西罗莫司TDM监测643例次。西罗莫司日剂量中位数2 mg,谷浓度中位数4.81 ng·mL−1(1.05~19.86 ng·mL−1),349例次(54.28%)处于靶目标范围内(4~10 ng·mL−1)。Lasso回归分析结果显示,药物剂量、体质量、血红蛋白、血浆总蛋白及估算肾小球滤过率是西罗莫司是否脱靶的独立预测因素。基于上述变量构建列线图模型,内、外部验证显示,受试者工作特征曲线下面积分别为0.66、0.75,具有较好的区分度。
      结论 肝移植受者西罗莫司谷浓度达标率较低,建议常规进行西罗莫司TDM监测。基于Lasso-logistic回归构建的列线图模型具有较好的预测效能,有助于临床早期识别西罗莫司谷浓度脱靶风险。

       

      Abstract:
      OBJECTIVE To analyze the risk factors for the whole blood trough concentration of sirolimus in liver transplant recipients falling out of the target range(4–10 ng·mL−1) and develop a nomogram risk prediction model.
      METHODS Clinical data including demographic characteristics, medication regimen, trough concentration, laboratory test results and adverse reactions of liver transplant recipients underwent sirolimus therapeutic drug monitoring(TDM) from December 2023 to August 2025 in Beijing Tsinghua Changgung Hospital were collected. High-performance liquid chromatography-tandem mass spectrometry was used to detect the trough concentrations of sirolimus. The the risk factors of trough concentration falling out of the target range was assessed by Mann-Whitney U test, chi-square test and Lasso regression, and a nomogram risk prediction model was established.
      RESULTS A total of 68 patients were included, with 643 times of sirolimus concentrations. The median daily dose of sirolimus was 2 mg, and the median trough concentration in these cases was 4.81 ng·mL−1, ranging from 1.05 ng·mL−1 to 19.86 ng·mL−1. The 349 cases(54.28%) were within the target range(4 to 10 ng·mL−1). The results of Lasso regression analysis showed that dose, body weight, hemoglobin, total plasma protein and estimated glomerular filtration rate were independent predictors for off-target sirolimus trough concentrations. The nomogram model was constructed based on these variables with area under the receiver operating characteristic curves of 0.66, 0.75 for internal and external validation, with good discrimination.
      CONCLUSION The proportion of sirolimus trough concentrations achieving target range in liver transplant recipients is relatively low, suggesting a need for routine TDM. The nomogram model based on Lasso-logistic regression has good prediction efficiency, which is helpful to identify the off-target risk of sirolimus trough concentrations in liver transplant recipients.

       

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