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作 者:刘天赐 黄阳[1] Liu Tianci;Huang Yang(Department of Laboratory Medicine,Hefei Ion Medicine Center,the First Affiliated Hospital of USTC,Division of life Sciences and Medicine,University of Science and Technology of China,Hefei Anhui 233088,China)
机构地区:[1]中国科学技术大学附属第一医院离子医学中心(合肥离子医学中心)医学检验科,安徽合肥230088
出 处:《生命科学仪器》2024年第5期9-11,共3页Life Science Instruments
摘 要:目的 探讨血清视黄醇结合蛋白(sRBP)联合血清胱抑素C(sCysC)检测对肾移植术后进行性肾功能减退事件的预测价值。方法 回顾性纳入2017年6月至2023年3月中国科学技术大学附属第一医院收治的68例肾移植患者为研究对象。根据患者术后3个月至研究截止日期是否发生进行性肾功能减退分为事件组(n=31)和非事件组(n=37)。比较两组基线资料、sRBP和sCysC水平。采用单因素及logistic回归模型分析相关指标与进行性肾功能减退事件的关系,并采用ROC曲线分析sRBP、sCysC对该事件的预测价值。结果 与非事件组相比,事件组尸肾来源更多,sRBP及sCysC水平更高,P<0.05。Logistic回归分析显示,sRBP(OR:1.069)、sCysC(OR:27.900)均是进行性肾功能减退事件发生的独立危险因素,P<0.05。ROC曲线分析显示:sRBP联合sCysC预测进行性肾功能减退事件的曲线下面积为0.918(95%CI:0.841~0.995),敏感度为90.3%,特异度为86.5%,最佳截断值为0.390。结论 sRBP、sCysC均为进行性肾功能减退事件发生的独立危险因素。sRBP、sCysC联合检测对肾移植术后进行性肾功能减退事件具有重要预测价值。Objective:To explore the predictive value of serum retinol-binding protein(sRBP)combined with serum cystatin C(sCysC)in the progressive renal failure after renal transplantation.Methods:Sixty-eight renal transplant patients admitted to the First Affiliated Hospital of China University of Science and Technology from June 2017 to March 2023 were retrospectively included as the research object.Patients were divided into event group(n=31)and non-event group(n=37)according to whether progressive renal failure occurred from 3 months after operation to the end of the study.The baseline data、sRBP and sCysC levels were compared between the two groups.Single factor and logistic regression model were used to analyze the relationship between related indexes and progressive renal failure,and ROC curve was used to analyze the predictive value of sRBP and sCysC for this event.Results:Compared with the non-event group,the source of cadaveric kidney in the event group was more,and the levels of sRBP and sCysC were higher,P<0.05.Logistic regression analysis showed that sRBP(or:1.069)and sCYSC(or:27.900)were independent risk factors for progressive renal failure(P<0.05).ROC curve analysis shows that the area under the curve of sRBP combined with sCysC for predicting progressive renal failure events is 0.918(95%CI:0.841~0.995),the sensitivity is 90.3%,the specificity is 86.5%,and the best cutoff value is 0.390.Conclusion:sRBP and sCysC are independent risk factors for progressive renal failure.The combined detection of sRBP and sCysC has important predictive value for progressive renal dysfunction after renal transplantation.
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