Goto Hiroki, Takaoka Hiroyuki, Ota Joji, Noguchi Yoshitada, Nishikawa Yusei, Matsumoto Moe, Yoshida Kazuki, Suzuki Katsuya, Aoki Shuhei, Yashima Satomi, Kinoshita Makiko, Sasaki Haruka, Suzuki-Eguchi Noriko, Kobayashi Yoshio
Department of Cardiovascular Medicine, Chiba University, Chiba 260-8677, Japan.
Department of Radiology, Chiba University Hospital, Chiba 260-8677, Japan.
J Clin Med. 2024 Dec 12;13(24):7561. doi: 10.3390/jcm13247561.
: Extracellular volume (ECV) analysis using computed tomography is recognized as a potential method for diagnostic application. It is currently the only noninvasive method for quantitatively evaluating myocardial fibrosis in dialysis patients for whom gadolinium contrast agents are contraindicated. In this study, we assessed the utility of ECV measurement via CT in the left ventricular (LV) myocardium (LVM) to predict major adverse cardiac events (MACEs) in dialysis patients. : We analyzed 57 dialysis patients who underwent cardiac CT and assessed the utility of LVM ECV (LV-ECV) for predicting MACEs. All the patients were followed for a median of 11 months, and MACEs occurred in 15 cases (26%). : LV-ECV and plasma brain natriuretic peptide levels were higher in subjects with MACEs than those without (40.29 ± 8.23% vs. 33.76 ± 4.60% and 1481 ± 997 vs. 807 ± 1109 pg/mL; both < 0.05). Significant valvular disease was more frequently detected in patients with MACEs than those without (60% vs. 24%; = 0.023). Serum hematocrit levels were significantly lower in patients with MACEs than those without (29 ± 5 vs. 34 ± 5; < 0.001). The administration of statin was significantly lower in patients with MACEs than in those without (13% vs. 48%; = 0.029). A receiver operating characteristic (ROC) curve analysis was performed using LV-ECV for predicting MACEs. The area under the curve was 0.80, and the best cut-off value of LV-ECV was 37.26% ( = 0.0003). In a Cox proportional hazards model, LV-ECV ≥ 37.26% was the only significant independent predictor of MACEs ( = 0.020). : LV-ECV measured using CT is a useful predictor of MACEs in dialysis patients.
利用计算机断层扫描进行细胞外容积(ECV)分析被认为是一种有潜在诊断应用价值的方法。它是目前唯一一种用于定量评估钆造影剂禁忌的透析患者心肌纤维化的非侵入性方法。在本研究中,我们评估了通过CT测量左心室(LV)心肌(LVM)的ECV以预测透析患者主要不良心脏事件(MACE)的效用。
我们分析了57例接受心脏CT检查的透析患者,并评估了LVM ECV(LV-ECV)预测MACE的效用。所有患者的随访时间中位数为11个月,15例(26%)发生了MACE。
发生MACE的患者的LV-ECV和血浆脑钠肽水平高于未发生MACE的患者(40.29±8.23%对33.76±4.60%以及1481±997对807±1109 pg/mL;均P<0.05)。发生MACE的患者比未发生MACE的患者更频繁地检测到显著瓣膜疾病(60%对24%;P = 0.023)。发生MACE的患者的血清血细胞比容水平显著低于未发生MACE的患者(29±5对34±5;P<0.001)。发生MACE的患者中他汀类药物的使用显著低于未发生MACE的患者(13%对48%;P = 0.029)。使用LV-ECV进行预测MACE的受试者工作特征(ROC)曲线分析。曲线下面积为0.80,LV-ECV的最佳截断值为37.26%(P = 0.0003)。在Cox比例风险模型中,LV-ECV≥37.26%是MACE的唯一显著独立预测因子(P = 0.020)。
通过CT测量的LV-ECV是透析患者MACE的有用预测指标。