Gong Shijun, Mao Jing, Zhou Quan, Zhou HaiFeng, Liu Qin, Sun Ting, Gan Shenglian
Department of Ultrasound, Changde Hospital, Xiangya Medical College of Central South University, Changde, China.
Department of Science and Education, Changde Hospital, Xiangya Medical College of Central South University, Changde, China.
Sci Rep. 2025 Aug 29;15(1):31859. doi: 10.1038/s41598-025-17715-6.
Obesity is a key risk factor for arterial stiffness (AS) and a strong predictor of cardiovascular diseases (CVD). In patients with type 2 diabetes mellitus (T2DM), the risk of AS is further exacerbated due to metabolic dysregulation and chronic inflammation, especially when both conditions coexist. Traditional obesity indices such as Body Mass Index (BMI) and Waist Circumference (WC) have limitations in assessing fat distribution and metabolic risk. New indices like Weight-adjusted Waist Index (WWI), A Body Shape Index (ABSI), and Body Roundness Index (BRI) have been proposed as supplementary or alternative measures. However, the association between WWI and AS in patients with T2DM has not been sufficiently studied. This study aims to evaluate the association between WWI and AS in T2DM patients and compare the diagnostic performance of WWI with traditional obesity indices (BMI, WC) and other new indices (ABSI, BRI) in predicting AS. 1406 patients with type 2 diabetes mellitus (T2DM) were included in this cross-sectional study. Obesity indices were calculated using anthropometric parameters. Brachial-ankle pulse wave velocity (BaPWV) was measured to determine AS. Multivariate logistic regression analysis was used to assess the correlation between the five obesity indices and AS. Smoothed curve fitting was used to test the linear correlations. The diagnostic accuracy of each obesity index was evaluated using receiver operating characteristic (ROC) analyses. Additional subgroup analyses and tests for interaction were conducted. The average BaPWV was 1611.98 (318.81) cm/s. Multivariate logistic analysis indicated a strong correlation between WWI and AS, with each standard deviation increase in WWI resulting in a 48.59 cm/s rise in BaPWV (95% CI 31.66-65.52) and a 44% higher risk of AS (OR = 1.44, 95% CI 1.21-1.70). ROC analysis indicated that WWI identified AS more accurately than the other obesity indices, with an area under the curve (AUC) of 0.659. The AUC for WC, BMI, ABSI, and BRI were 0.538, 0.519, 0.626, and 0.599, respectively. Further examination of subgroups showed that the correlation between WWI and AS remained consistent and positive. The results of this study show that there is a significant positive correlation between WWI and BaPWV in patients with T2DM. Additionally, compared to other obesity indices, WWI is associated with a higher risk of AS. It may be a potentially simple and effective tool for assessing AS in clinical practice.
肥胖是动脉僵硬度(AS)的关键风险因素,也是心血管疾病(CVD)的有力预测指标。在2型糖尿病(T2DM)患者中,由于代谢失调和慢性炎症,AS风险会进一步加剧,尤其是当这两种情况同时存在时。传统的肥胖指标,如体重指数(BMI)和腰围(WC),在评估脂肪分布和代谢风险方面存在局限性。已提出诸如体重调整腰围指数(WWI)、身体形状指数(ABSI)和身体圆润度指数(BRI)等新指标作为补充或替代措施。然而,T2DM患者中WWI与AS之间的关联尚未得到充分研究。本研究旨在评估T2DM患者中WWI与AS之间的关联,并比较WWI与传统肥胖指标(BMI、WC)以及其他新指标(ABSI、BRI)在预测AS方面的诊断性能。本横断面研究纳入了1406例2型糖尿病(T2DM)患者。使用人体测量参数计算肥胖指标。测量肱踝脉搏波速度(BaPWV)以确定AS。采用多变量逻辑回归分析评估五个肥胖指标与AS之间的相关性。使用平滑曲线拟合来检验线性相关性。使用受试者工作特征(ROC)分析评估每个肥胖指标的诊断准确性。进行了额外的亚组分析和交互作用检验。平均BaPWV为1611.98(318.81)cm/s。多变量逻辑分析表明WWI与AS之间存在强相关性,WWI每增加一个标准差,BaPWV就会升高48.59 cm/s(95%CI 31.66 - 65.52),AS风险增加44%(OR = 1.44,95%CI 1.21 - 1.70)。ROC分析表明,WWI比其他肥胖指标更准确地识别AS,曲线下面积(AUC)为0.659。WC、BMI、ABSI和BRI的AUC分别为0.538、0.519、0.626和0.599。亚组的进一步检查表明,WWI与AS之间的相关性保持一致且为正相关。本研究结果表明,T2DM患者中WWI与BaPWV之间存在显著正相关。此外,与其他肥胖指标相比,WWI与更高的AS风险相关。它可能是临床实践中评估AS的一种潜在简单有效的工具。