Zhou Jun, Ding Jiule, Chen Jie, Wu Qiong, Xiang Dehui, Xing Wei
Department of Radiology, The Third Affiliated Hospital of Soochow University, Changzhou 213003, China.
School of Electronics and Information Engineering, Soochow University, Suzhou, Jiangsu 216006, China.
Int J Hypertens. 2022 Mar 4;2022:1553700. doi: 10.1155/2022/1553700. eCollection 2022.
This study sought to explore the association between quantitative classification of renal surface nodularity (qRSN) based on computed tomography (CT) imaging and early renal injury (ERI) in patients with arterial hypertension.
A total of 143 patients with a history of hypertension were retrospectively enrolled; clinical information (age, sex, hypertension grade, and hypertension course), laboratory tests, and qRSN were collected or assessed. The subjects were divided into an ERI group ( = 60) or a control group (CP, = 83) according to ERI diagnosis based on the following criteria: cystatin C > 1.02 mg/L. Univariate analysis and multiple logistic regression were used to assess the association between ERI and qRSN. A receiver operating characteristic curve (ROC) was performed to compare multiple logistic regression models with or without qRSN for differentiating the ERI group from the control group.
In univariate analysis, hypertension grade, hypertension course, triglycerides (TG), and qRSN were related to ERI in patients with arterial hypertension (all < 0.1), with strong interrater agreement of qRSN. Multiple logistic regression analysis showed an area under the ROC curve of 0.697 in the model without qRSN and 0.790 in the model with qRSN, which was significantly different ( = 2.314, =0.021).
CT imaging-based qRSN was associated with ERI in patients with arterial hypertension and may be an imaging biomarker of early renal injury.
本研究旨在探讨基于计算机断层扫描（CT）成像的肾表面结节定量分类（qRSN）与动脉高血压患者早期肾损伤（ERI）之间的关联。
回顾性纳入143例有高血压病史的患者；收集或评估临床信息（年龄、性别、高血压分级和高血压病程）、实验室检查及qRSN。根据基于以下标准的ERI诊断将受试者分为ERI组（n = 60）或对照组（CP，n = 83）：胱抑素C > 1.02 mg/L。采用单因素分析和多因素logistic回归评估ERI与qRSN之间的关联。绘制受试者工作特征曲线（ROC），比较有或无qRSN的多因素logistic回归模型对ERI组与对照组的区分能力。
单因素分析中，高血压分级、高血压病程、甘油三酯（TG）和qRSN与动脉高血压患者的ERI相关（均P < 0.1），qRSN的评分者间一致性较强。多因素logistic回归分析显示，无qRSN模型的ROC曲线下面积为0.697，有qRSN模型的为0.790，差异有统计学意义（Z = 2.314，P = 0.021）。
基于CT成像的qRSN与动脉高血压患者的ERI相关，可能是早期肾损伤的一种影像学生物标志物。
