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采用计算机断层扫描评估腹主动脉钙化预测慢性肾脏病透析前患者潜在左心室僵硬度和未来心血管风险:一项单中心横断面研究。

Assessment of abdominal aortic calcification by computed tomography for prediction of latent left ventricular stiffness and future cardiovascular risk in pre-dialysis patients with chronic kidney disease: A single center cross-sectional study.

机构信息

Department of Cardiology, Nagoya University Graduate School of Medicine, Nagoya, Japan.

Department of Clinical Laboratory, Nagoya University Hospital, Nagoya, Japan.

出版信息

Int J Med Sci. 2019 Jun 7;16(7):939-948. doi: 10.7150/ijms.32629. eCollection 2019.

Abstract

There is general interest in finding clinical markers for left ventricular diastolic dysfunction (LVDD), a major cause of cardiorenal syndrome leading to heart failure in chronic kidney disease (CKD) patients. The aim was to assess the utility of computed tomography (CT)-based abdominal aortic calcification (AAC) for the prediction of LVDD and prognosis of asymptomatic pre-dialysis CKD patients. We prospectively evaluated 218 pre-dialysis CKD patients [median estimated glomerular filtration rate (eGFR); 40.9 mL/min/1.73m²]. Non-contrast CT scan and echocardiography were performed to determine the aortic calcification index (ACI) as a semi-quantitative measure of AAC. The median ACI was 11.4. AAC and LVDD were diagnosed in 193 patients (89%) and 75 patients (34%), respectively. Using receiver operating characteristic curve analysis for the estimation of LVDD, ACI of 20 showed optimal sensitivity (52.0%) and specificity (62.8 %) (AUC = 0.664, p < .001). High ACI group included more patients with LVDD-related factors, such as old age, hypertension, diabetes, and more severe CKD. LVDD was significantly more common in patients with high ACI group [39 (50%) and 36 (26%), respectively, p<0.001]. Multivariate analysis showed that ACI correlated significantly with E/A (β=-0.993, p=0.003), E/e' (β=0.077, p<0.001), and cardio-ankle vascular index (β=0.209, p=0.001). Correspondingly, E/e' correlated with logBNP and log(ACI+1), and increased proportionately and significantly with the quartiles of ACI values. Cox proportional hazard models showed that ACI was an independent predictor of CV outcome (hazard ratio 1.03, 95% confidence interval 1.00-1.06, p=0.029). The results would suggest the usefulness of AAC assessment by CT to predict latent LVDD and future CV risk in asymptomatic pre-dialysis CKD patients.

摘要

人们普遍关注寻找左心室舒张功能障碍(LVDD)的临床标志物,LVDD 是导致慢性肾脏病(CKD)患者心力衰竭的主要原因。本研究旨在评估基于计算机断层扫描(CT)的腹主动脉钙化(AAC)对预测无症状透析前 CKD 患者的 LVDD 和预后的作用。

我们前瞻性评估了 218 名透析前 CKD 患者[中位估算肾小球滤过率(eGFR);40.9mL/min/1.73m²]。进行非对比 CT 扫描和超声心动图检查以确定主动脉钙化指数(ACI)作为 AAC 的半定量测量。中位 ACI 为 11.4。AAC 和 LVDD 在 193 名患者(89%)和 75 名患者(34%)中被诊断。使用受试者工作特征曲线分析估计 LVDD,ACI 为 20 时显示出最佳的敏感性(52.0%)和特异性(62.8%)(AUC=0.664,p<.001)。ACI 较高的组包括更多具有 LVDD 相关因素的患者,如年龄较大、高血压、糖尿病和更严重的 CKD。在 ACI 较高的组中,LVDD 更为常见[39(50%)和 36(26%),p<.001]。多变量分析显示,ACI 与 E/A(β=-0.993,p=0.003)、E/e'(β=0.077,p<.001)和心血管脚踝血管指数(β=0.209,p=0.001)显著相关。相应地,E/e'与 logBNP 和 log(ACI+1)相关,并且与 ACI 值的四分位数成正比且显著增加。Cox 比例风险模型显示,ACI 是 CV 结局的独立预测因子(风险比 1.03,95%置信区间 1.00-1.06,p=0.029)。

结果表明,CT 评估 AAC 可用于预测无症状透析前 CKD 患者的潜在 LVDD 和未来的 CV 风险。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be34/6643121/85b5c2c7f803/ijmsv16p0939g003.jpg

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