Han J J, Gao J W, Xu Z J, Yuan Z M, Tang Y, Zhang H F, Chen Y X, Wang J F, Liu P M
Department of Cardiology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou 510120, China.
Department of Nephrology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou 510120, China.
Zhonghua Xin Xue Guan Bing Za Zhi. 2024 Jun 24;52(6):676-683. doi: 10.3760/cma.j.cn112148-20231023-00374.
To investigate the association between body composition and coronary artery calcification in patients with chronic kidney disease (CKD). This cross-sectional study enrolled patients with CKD hospitalized from May 2019 to April 2022 at Sun Yat-sen Memorial Hospital, Guangzhou, China. Skeletal muscle mass index and visceral fat area were measured by bioelectrical impedance analysis. Coronary artery calcification was assessed by computed tomography. Patients were divided into coronary artery calcification group and non-coronary artery calcification group according to the incidence of coronary artery calcification. Patients were categorized into tertile groups according to their skeletal muscle mass index and visceral fat area levels ranging from the lowest to the highest levels (T1 to T3). We defined skeletal muscle mass index≤30.4% as low muscle mass and visceral fat area≥80.6 cm as high visceral fat based on the results of the restricted cubic spline graph. All individuals were divided into 4 phenotypes: normal body composition, low muscle mass, high visceral fat, and low muscle mass with high visceral fat. Spearman correlation analysis and logistic regression analysis were used to assess the association between skeletal muscle mass index, visceral fat area and coronary artery calcification. A total of 107 patients with CKD were enrolled, with an age of (60.0±14.1) years, including 41 female patients (38.3%). Patients of coronary artery calcification group had lower skeletal muscle mass index ((32.0±4.8) vs. (34.3±4.8), =0.016) and higher visceral fat area ((70.8±32.6) cm vs. (47.9±23.8) cm, <0.001) than those of non-coronary artery calcification group. Patients in the T3 group of skeletal muscle mass index had a lower prevalence of coronary artery calcification (17 (48.6%) vs. 28 (77.8%)) and a lower coronary artery calcification score (0.5 (0, 124.0) vs. 12.0 (0.3, 131.0)) than those in the T1 group (<0.05). Similarly, patients in the T1 group of visceral fat area had a lower prevalence of coronary artery calcification (14 (40.0%) vs. 29 (80.6%)) and a lower coronary artery calcification score (0 (0, 3.0) vs. 37.0 (2.0, 131.0)) than those in the T3 group (<0.05). Likewise, patients with both low muscle mass and low muscle mass with high visceral fat had a higher prevalence of coronary artery calcification (11(78.6%) vs. 33 (47.8%); 15 (83.3%) vs. 33 (47.8%)) and a higher coronary artery calcification score (31.1 (0.8, 175.8) vs. 0 (0, 16.4); 27.6 (6.4, 211.4) vs. 0 (0, 16.4)) than those with normal body composition (<0.05). Spearman correlation analysis showed that skeletal muscle mass index was inversely correlated with coronary artery calcification score (=-0.212, =0.028), and visceral fat area was positively correlated with coronary artery calcification score (=0.408, <0.001). Multivariate logistic regression analysis showed that increased skeletal muscle mass index was inversely associated with coronary artery calcification prevalence (T2: =0.208, 95% 0.056-0.770, =0.019; T3: =0.195, 95% 0.043-0.887, =0.034), and reduced visceral fat area was inversely associated with coronary artery calcification prevalence (T1: =0.256, 95% 0.071-0.923, =0.037; T2: =0.263, 95% 0.078-0.888, =0.031). Consistently, both low muscle mass and low muscle mass with high visceral fat were associated with coronary artery calcification prevalence (=6.616, 95% 1.383-31.656, =0.018; =5.548, 95% 1.062-28.973, =0.042). Reduced skeletal muscle mass index and increased visceral fat area are significantly associated with both the prevalence and severity of coronary artery calcification in patients with CKD.
探讨慢性肾脏病(CKD)患者身体成分与冠状动脉钙化之间的关联。这项横断面研究纳入了2019年5月至2022年4月在中国广州中山大学附属孙逸仙纪念医院住院的CKD患者。通过生物电阻抗分析测量骨骼肌质量指数和内脏脂肪面积。通过计算机断层扫描评估冠状动脉钙化情况。根据冠状动脉钙化的发生率将患者分为冠状动脉钙化组和非冠状动脉钙化组。根据骨骼肌质量指数和内脏脂肪面积水平从最低到最高(T1至T3)将患者分为三分位数组。根据受限立方样条图的结果,我们将骨骼肌质量指数≤30.4%定义为低肌肉量,将内脏脂肪面积≥80.6 cm定义为高内脏脂肪。所有个体分为4种表型:正常身体成分、低肌肉量、高内脏脂肪以及低肌肉量伴高内脏脂肪。采用Spearman相关性分析和逻辑回归分析来评估骨骼肌质量指数、内脏脂肪面积与冠状动脉钙化之间的关联。共纳入107例CKD患者,年龄为(60.0±14.1)岁,其中女性患者41例(38.3%)。冠状动脉钙化组患者的骨骼肌质量指数低于非冠状动脉钙化组((32.0±4.8) vs. (34.3±4.8),P =0.016),内脏脂肪面积高于非冠状动脉钙化组((70.8±32.6)cm vs. (47.9±23.8)cm,P<0.001)。骨骼肌质量指数T3组患者的冠状动脉钙化患病率低于T1组(17例(48.6%) vs. 28例(77.8%)),冠状动脉钙化评分也低于T1组(0.5(0,124.0) vs. 12.0(0.3,131.0))(P<0.05)。同样,内脏脂肪面积T1组患者的冠状动脉钙化患病率低于T3组(14例(40.0%) vs. 29例(80.6%)),冠状动脉钙化评分也低于T3组(0(0,3.0) vs. 37.0(2.0,131.0))(P<0.05)。同样,低肌肉量以及低肌肉量伴高内脏脂肪的患者冠状动脉钙化患病率高于正常身体成分的患者(11例(78.6%) vs. 33例(47.8%);15例(83.3%) vs. 33例(47.8%)),冠状动脉钙化评分也高于正常身体成分的患者(31.1(0.8,175.8) vs. 0(0,16.4);27.6(6.4,211.4) vs. 0(0,16.4))(P<0.05)。Spearman相关性分析显示,骨骼肌质量指数与冠状动脉钙化评分呈负相关(r=-0.212,P =0.028),内脏脂肪面积与冠状动脉钙化评分呈正相关(r =0.408,P<0.001)。多因素逻辑回归分析显示,骨骼肌质量指数增加与冠状动脉钙化患病率呈负相关(T2:OR =0.208,95%CI 0.056 - 0.770,P =0.019;T3:OR =0.195,95%CI 0.043 - 0.887,P =0.034),内脏脂肪面积减少与冠状动脉钙化患病率呈负相关(T1:OR =0.256,95%CI 0.071 - 0.923,P =0.037;T2:OR =0.263,95%CI 0.078 - 0.888,P =0.031)。同样,低肌肉量以及低肌肉量伴高内脏脂肪均与冠状动脉钙化患病率相关(OR =6.616,95%CI 1.383 - 31.656,P =0.018;OR =5.548,95%CI 1.062 - 28.973,P =0.042)。骨骼肌质量指数降低和内脏脂肪面积增加与CKD患者冠状动脉钙化的患病率和严重程度均显著相关。