Shibata Kenichi, Yamamoto Masanori, Yamada Sumio, Kobayashi Toshihiro, Morita Satoshi, Kagase Ai, Tokuda Takahiro, Shimura Testuro, Tsunaki Tatsuya, Tada Norio, Naganuma Toru, Araki Motoharu, Yamanaka Futoshi, Shirai Shinichi, Mizutani Kazuki, Tabata Minoru, Ueno Hiroshi, Takagi Kensuke, Higashimori Akihiro, Watanabe Yusuke, Hayashida Kentaro
Department of Cardiology, Nagoya Heart Canter, Nagoya, Japan.
Department of Cardiology, Toyohashi Heart Canter, Toyohashi, Japan.
CJC Open. 2020 Oct 3;3(2):142-151. doi: 10.1016/j.cjco.2020.09.019. eCollection 2021 Feb.
Adipose tissue (AT) characteristics are considered to be a marker for predicting clinical outcomes. This study aimed to investigate the prognostic value of subcutaneous adipose tissue (SAT) and visceral adipose tissue (VAT) computed tomography (CT) assessment in patients who underwent transcatheter aortic valve replacement (TAVR).
We used the Japanese multicentre registry data of 1372 patients (age: 84.5 ± 5.0 years, women: 70.6%) who underwent TAVR. The SAT and VAT were assessed according to the preprocedural CT area and density. Baseline characteristics and clinical outcomes were compared based on the differences in AT characteristics. The independent associations with all-cause mortality after TAVR were evaluated according to the CT area and density of AT.
Low-volume area of SAT and VAT was associated with worse clinical outcomes compared with high-volume area of SAT and VAT in patients who underwent TAVR (log-rank test = 0.016 and = 0.014). High CT density of SAT and VAT was associated with increasing mortality in comparison with low CT density of SAT and VAT (log-rank test < 0.001 and = 0.007). The Cox regression multivariate analysis demonstrated the independent association of increased all-cause mortality in the high SAT and VAT density (hazard ratio [HR]: 1.41, 95% confidence interval [CI]: 1.06-1.88, = 0.019, and HR: 1.34, 95% CI: 1.03-1.76, = 0.031, respectively), but not in the low SAT and VAT area (HR: 0.85, 95% CI: 0.74-1.29, = 0.85, and HR: 0.78, 95% CI: 0.60-1.03, = 0.085, respectively).
CT-derived AT characteristics, particularly the qualitative assessments, were useful for predicting the prognosis in patients after TAVR.
脂肪组织(AT)特征被认为是预测临床结局的一个指标。本研究旨在探讨经导管主动脉瓣置换术(TAVR)患者皮下脂肪组织(SAT)和内脏脂肪组织(VAT)计算机断层扫描(CT)评估的预后价值。
我们使用了1372例接受TAVR患者(年龄:84.5±5.0岁,女性:70.6%)的日本多中心注册数据。根据术前CT面积和密度评估SAT和VAT。基于AT特征的差异比较基线特征和临床结局。根据AT的CT面积和密度评估与TAVR后全因死亡率的独立关联。
与接受TAVR患者中SAT和VAT高体积区域相比,SAT和VAT低体积区域与更差的临床结局相关(对数秩检验=0.016和=0.014)。与SAT和VAT低CT密度相比,SAT和VAT高CT密度与死亡率增加相关(对数秩检验<0.001和=0.007)。Cox回归多变量分析显示,SAT和VAT高密度与全因死亡率增加存在独立关联(风险比[HR]:1.41,95%置信区间[CI]:1.06 - 1.88,=0.019,以及HR:1.34,95%CI:1.03 - 1.76,=0.031),但在SAT和VAT低面积区域不存在(HR:0.85,95%CI:0.74 - 1.29,=0.85,以及HR:0.78,95%CI:0.60 - 1.03,=0.085)。
CT衍生的AT特征,尤其是定性评估,有助于预测TAVR术后患者的预后。