PDF(Pubmed)
Abstract：
UNASSIGNED: The triglyceride-glucose (TyG) index, a simple surrogate marker of insulin resistance, is significantly associated with chronic kidney disease (CKD). However, there is limited research on the longitudinal trajectory of TyG index over time and its relationship with CKD.
UNASSIGNED: To analyse the characteristics of the longitudinal trajectory of the TyG index over time and its association with the development of CKD in a health check-up population.
UNASSIGNED: Participants who underwent at least three annual health check-ups at the Health Management Center of Sichuan Provincial People\'s Hospital from 2015 to 2022 were included in this retrospective cohort study. The TyG index was calculated as ln [fasting triglycerides (mg/dL) × fasting glucose (mg/dL)/2]. The latent class mixed model (LCMM) was used to identify the TyG index trajectory of the study population. A Cox proportional hazard model was used to estimate the CKD incidence risk in different quartile groups and the association of changes in the TyG index trajectory with the development of CKD.
UNASSIGNED: A total of 4,921 participants were included in this study, and they were divided into four groups according to the quartiles of the baseline TyG index: Q1 (5.43-6.66), Q2 (6.67-7.04), Q3 (7.05-7.43), and Q4 (7.43-9.97). There was no difference in the risk of CKD occurrence among the TyG groups. Three different TyG index trajectories were identified in this study: a high-level group, middle-level stable group and low-level stable group, respectively. The incidence rate of CKD in the high-level TyG index trajectory group was 2.399 times greater than that in the low-level stable trajectory group (HR=2.399, 95% CI 1.167-4.935).
UNASSIGNED: Individuals with long-term exposure to high TyG index levels had a significantly greater risk of CKD. Routine monitoring of the TyG index and its longitudinal trend will aid in the risk stratification of CKD in the general population and will be helpful for CKD prevention and targeted management.
UNASSIGNED: To analyse the characteristics of the longitudinal trajectory of the TyG index over time and its association with the development of CKD in a health check-up population.
UNASSIGNED: Participants who underwent at least three annual health check-ups at the Health Management Center of Sichuan Provincial People\'s Hospital from 2015 to 2022 were included in this retrospective cohort study. The TyG index was calculated as ln [fasting triglycerides (mg/dL) × fasting glucose (mg/dL)/2]. The latent class mixed model (LCMM) was used to identify the TyG index trajectory of the study population. A Cox proportional hazard model was used to estimate the CKD incidence risk in different quartile groups and the association of changes in the TyG index trajectory with the development of CKD.
UNASSIGNED: A total of 4,921 participants were included in this study, and they were divided into four groups according to the quartiles of the baseline TyG index: Q1 (5.43-6.66), Q2 (6.67-7.04), Q3 (7.05-7.43), and Q4 (7.43-9.97). There was no difference in the risk of CKD occurrence among the TyG groups. Three different TyG index trajectories were identified in this study: a high-level group, middle-level stable group and low-level stable group, respectively. The incidence rate of CKD in the high-level TyG index trajectory group was 2.399 times greater than that in the low-level stable trajectory group (HR=2.399, 95% CI 1.167-4.935).
UNASSIGNED: Individuals with long-term exposure to high TyG index levels had a significantly greater risk of CKD. Routine monitoring of the TyG index and its longitudinal trend will aid in the risk stratification of CKD in the general population and will be helpful for CKD prevention and targeted management.
摘要：
■甘油三酯-葡萄糖(TyG)指数，一个简单的胰岛素抵抗的替代标记，与慢性肾脏病（CKD）显著相关。然而,关于TyG指数随时间的纵向轨迹及其与CKD的关系的研究有限。
■分析健康检查人群中TyG指数随时间的纵向轨迹特征及其与CKD发展的关联。
■将2015年至2022年在四川省人民医院健康管理中心进行至少3次年度健康体检的参与者纳入本回顾性队列研究。将TyG指数计算为ln[空腹甘油三酯(mg/dL)X空腹葡萄糖(mg/dL)/2]。使用潜在类别混合模型（LCMM）来识别研究人群的TyG指数轨迹。采用Cox比例风险模型估计不同四分位数组的CKD发病风险以及TyG指数轨迹变化与CKD发展的关系。
■本研究共纳入4,921名参与者，根据基线TyG指数的四分位数将他们分为四组：Q1（5.43-6.66），Q2(6.67-7.04),Q3(7.05-7.43),和第四季度（7.43-9.97）。TyG组之间CKD发生的风险没有差异。在这项研究中确定了三种不同的TyG指数轨迹：一个高级组，中级稳定组和低级稳定组，分别。高水平TyG指数轨迹组CKD发生率为低水平稳定轨迹组的2.399倍(HR=2.399,95%CI1.167~4.935)。
■长期暴露于高TyG指数水平的个体患CKD的风险明显更大。常规监测TyG指数及其纵向趋势将有助于一般人群中CKD的风险分层，并将有助于CKD的预防和针对性管理。
■分析健康检查人群中TyG指数随时间的纵向轨迹特征及其与CKD发展的关联。
■将2015年至2022年在四川省人民医院健康管理中心进行至少3次年度健康体检的参与者纳入本回顾性队列研究。将TyG指数计算为ln[空腹甘油三酯(mg/dL)X空腹葡萄糖(mg/dL)/2]。使用潜在类别混合模型（LCMM）来识别研究人群的TyG指数轨迹。采用Cox比例风险模型估计不同四分位数组的CKD发病风险以及TyG指数轨迹变化与CKD发展的关系。
■本研究共纳入4,921名参与者，根据基线TyG指数的四分位数将他们分为四组：Q1（5.43-6.66），Q2(6.67-7.04),Q3(7.05-7.43),和第四季度（7.43-9.97）。TyG组之间CKD发生的风险没有差异。在这项研究中确定了三种不同的TyG指数轨迹：一个高级组，中级稳定组和低级稳定组，分别。高水平TyG指数轨迹组CKD发生率为低水平稳定轨迹组的2.399倍(HR=2.399,95%CI1.167~4.935)。
■长期暴露于高TyG指数水平的个体患CKD的风险明显更大。常规监测TyG指数及其纵向趋势将有助于一般人群中CKD的风险分层，并将有助于CKD的预防和针对性管理。
