Department of Family Medicine, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea.
International Health Care Center, Severance Hospital, Yonsei University Health System, Seoul, Korea.
J Periodontal Res. 2023 Jun;58(3):503-510. doi: 10.1111/jre.13108. Epub 2023 Feb 24.
Periodontal diseases are closely connected with insulin resistance (IR) and metabolic syndrome. The Triglyceride Glucose Index (TyG) assesses IR, and recently, a few indices combining TyG and body composition have emerged with higher IR predictive performance than TyG alone. We aimed to examine which TyG-related parameters are most helpful in predicting the risk of periodontal disease.
From 2013 to 2015, data were collected through the Korean National Health and Nutrition Examination Survey. Periodontitis was defined using the Community Periodontal Index. TyG-body mass index (BMI), TyG-waist circumference (WC), and TyG-waist-to-height ratio (WHtR) were calculated by multiplying TyG index score by BMI, WC, and WHtR, respectively. Multiple logistic regression analysis was used to calculate odds ratio (OR) and 95% confidence intervals (CI). Receiver operating characteristic curves were used to estimate areas under the curve (AUC).
Compared to each reference quartile (Q)1, Q4 of the TyG index, TyG-BMI, TyG-WC, and TyG-WHtR were significantly associated with a higher risk of periodontitis after adjusting for confounders (OR, 95% CI; 1.23, 1.01-1.49 for TyG; 1.63, 1.22-2.17 for TyG-BMI; 1.37, 1.04-1.81 for TyG-WC; and 1.53, 1.16-2.02 for TyG-WHtR). The AUC and 95% CIs of TyG, TyG-BMI, TyG-WC, and TyG-WHtR in predicting periodontitis were 0.609 (0.600-0.617), 0.605 (0.596-0.617), 0.629 (0.621-0.637), and 0.636 (0.628-0.644), respectively (all p < .001).
TyG, TyG-BMI, TyG-WC, and TyG-WHtR appear to be significantly associated with the prevalence of periodontitis. Among the TyG and modified TyG indices, TyG-WHtR exhibited the highest predictive performance for periodontitis.
牙周病与胰岛素抵抗(IR)和代谢综合征密切相关。甘油三酯葡萄糖指数(TyG)评估 IR,最近出现了一些将 TyG 与身体成分结合起来的指数,其预测 IR 的性能比 TyG 单独预测更高。我们旨在研究哪些与 TyG 相关的参数最有助于预测牙周病的风险。
2013 年至 2015 年,通过韩国国家健康和营养检查调查收集数据。使用社区牙周指数定义牙周炎。通过将 TyG 指数评分乘以 BMI、WC 和 WHtR,分别计算 TyG-体重指数(BMI)、TyG-腰围(WC)和 TyG-腰高比(WHtR)。使用多因素逻辑回归分析计算比值比(OR)和 95%置信区间(CI)。使用接收者操作特征曲线估计曲线下面积(AUC)。
与每个参考四分位(Q)1 相比,TyG 指数、TyG-BMI、TyG-WC 和 TyG-WHtR 的 Q4 与调整混杂因素后的牙周炎风险增加显著相关(OR,95%CI;1.23,1.01-1.49 为 TyG;1.63,1.22-2.17 为 TyG-BMI;1.37,1.04-1.81 为 TyG-WC;1.53,1.16-2.02 为 TyG-WHtR)。TyG、TyG-BMI、TyG-WC 和 TyG-WHtR 预测牙周炎的 AUC 和 95%CI 分别为 0.609(0.600-0.617)、0.605(0.596-0.617)、0.629(0.621-0.637)和 0.636(0.628-0.644)(均 p<0.001)。
TyG、TyG-BMI、TyG-WC 和 TyG-WHtR 似乎与牙周炎的患病率显著相关。在 TyG 和改良 TyG 指数中,TyG-WHtR 对牙周炎的预测性能最高。