Depression closely associated with triglyceride-glucose index in CKD patients, suggests study

In order to do this, multivariable logistic regression analyses and a generalized additive method were used to assess the CKD cohort of the National Health and Nutrition Examination Survey from 2005 to 2020. To identify the tipping point, a recursive technique was used to build a dual-segment linear regression model.

• There were a total of 10,563 participants in the research. The odds ratios and 95% confidence intervals, after adjusting for all factors, showed that the TyG index and depression in the CKD cohort had an association of 1.24 (range, 1.09–1.42).
• The results showed an unbalanced relationship, with a crucial point at a TyG index of 9.29. The adjusted probability ratio (95% confidence interval) was 1.10 (range, 0.93–1.31) above this cutoff.
• The obese subgroups showed a substantial association with this. As an observational cross-sectional study, it was unable to show a causal association between the TyG index and depression, indicating the need for more research. Further cohort studies are required to confirm and build on these early findings.

Overall, the inflection point was discovered by a nonlinear positive connection between the TyG score and depression in the CKD cohort. The results of this study will have a big impact on how clinical depression is treated.

Source:

Liu, D., & Wei, D. (2024). Relationship between the triglyceride-glucose index and depression in individuals with chronic kidney disease: A cross-sectional study from National Health and Nutrition Examination Survey 2005–2020. In Medicine (Vol. 103, Issue 39, p. e39834). Ovid Technologies (Wolters Kluwer Health). https://doi.org/10.1097/md.0000000000039834