Xie Yuxian, Jin Donghua, Qiu Hong, Lin Lihua, Sun Shaobo, Li Damei, Sha Feifei, Zhou Wenming, Jia Miao
Department of Nephrology, People's Hospital of Suzhou New District, Suzhou, China.
Department of Nephrology, People's Hospital of Suzhou New District, Suzhou, China.
Nefrologia (Engl Ed). 2022 Nov-Dec;42(6):664-670. doi: 10.1016/j.nefroe.2022.11.007. Epub 2022 Nov 17.
This study's objective is to evaluate the correlation relationship between Podocalyxin (PCX), an urinary marker of podocytes, urinary albumin-creatinine ratio (ACR) and the predictive value of PCX in the routine screen of early diabetic kidney disease (DKD) among older people. We also aimed to explore its prediction value despite of other metabolic factor and how PCX alters in the predictive power for early stage of diabetic nephropathy. In retrospective, 320 cases of older patients diagnosed with type 2 diabetes mellitus who met both inclusion and exclusion criteria were collected and divided with levels of urinary albumin, that is, normal albuminuria group, microalbuminuria group and healthy group. The correlation coefficient between PCX and ACR, and the odds ratio of PCX were gauged in the study. Area under the receiver operating characteristic (ROC) curve was also calculated. There were 188 patients in the normal group with urine ACR<30mg/g, and 132 patients in the microproteinuria group with urine ACR 30-300mg/g. 132 cases of DKD diagnosed with ACR, among them, 104 cases of DKD were predicted by PCX. The percentage correction value was 78.8%. The following parameters such as gender, age, course of disease, glycated hemoglobin, triglyceride, total cholesterol, BMI, blood pressure, uric acid, and eGFR were used as variables for adjustment to establish the prediction model of urine PCX and ACR. Multiple logistic regression test was carried out to evaluate against the predictive ability of the model. The area under the ROC curve corresponding to the regression model after adjustment is 0.952. Although factors such as the course of disease, HbA1C, UA, and eGFR could influence on the predictive ability of PCX, PCX still has a good ability to predict early DKD in older patients. Therefore, it could be used as a diagnostic indicator for early-stage DKD in older patients.
本研究的目的是评估足细胞尿标志物足ocalyxin(PCX)、尿白蛋白肌酐比值(ACR)之间的相关性,以及PCX在老年人早期糖尿病肾病(DKD)常规筛查中的预测价值。我们还旨在探讨其在排除其他代谢因素时的预测价值,以及PCX在糖尿病肾病早期预测能力中的变化情况。回顾性收集320例符合纳入和排除标准的老年2型糖尿病患者,根据尿白蛋白水平进行分组,即正常蛋白尿组、微量白蛋白尿组和健康组。研究中测定了PCX与ACR之间的相关系数以及PCX的比值比。还计算了受试者工作特征(ROC)曲线下面积。正常组有188例患者尿ACR<30mg/g,微量蛋白尿组有132例患者尿ACR为30 - 300mg/g。132例经ACR诊断为DKD的患者中,104例由PCX预测。校正百分比值为78.8%。将性别、年龄、病程、糖化血红蛋白、甘油三酯、总胆固醇、BMI、血压、尿酸和估算肾小球滤过率(eGFR)等参数作为变量进行调整,建立尿PCX和ACR的预测模型。进行多元逻辑回归检验以评估该模型的预测能力。调整后回归模型对应的ROC曲线下面积为0.952。尽管病程、糖化血红蛋白、尿酸和eGFR等因素会影响PCX的预测能力,但PCX在老年患者中仍具有良好的早期DKD预测能力。因此,它可作为老年患者早期DKD的诊断指标。