Climacteric : the journal of the International Menopause Society · 2024
Investigating the triglyceride-glucose index in postmenopausal osteoporosis.
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Korpe Busra, Kose Caner, Mermi Sumeyye, Ergorun Samet Kutluay, Keskin Huseyin Levent
Аннотация
OBJECTIVE: This retrospective study aims to assess the association of the triglyceride-glucose index (TyG index) with postmenopausal osteoporosis and investigate longitudinal changes in TyG index levels in relation to osteoporosis risk.
METHODS: Out of 704 women, after excluding those with osteopenia, a total of 517 patients who met the inclusion criteria were included. Participants were categorized based on T-scores derived from lumbar spine dual-energy X-ray absorptiometry scans. Demographic data, biochemical parameters and TyG index levels were analyzed. Logistic regression, correlation analysis and receiver operating characteristic (ROC) curve analysis were employed for statistical evaluation.
RESULTS: The osteoporosis group (n = 254) exhibited significantly higher TyG index and triglyceride levels compared to controls (n = 263). Longitudinal analysis revealed significant increases in TyG index levels among women developing osteoporosis over time. ROC analysis demonstrated the TyG index's accuracy for osteoporosis (first TyG area under the curve [AUC]: 0.767, second TyG AUC: 0.818, p < 0.001). Regression analyses identified the TyG index as a significant factor associated with osteoporosis (odds ratio: 39.468, 95% confidence interval: 12.884-120.903, p < 0.001).
CONCLUSIONS: The TyG index emerges as a valuable indicator for postmenopausal osteoporosis. These results emphasize the need for integrating metabolic health indicators into osteoporosis management strategies, warranting further research into targeted interventions.
METHODS: Out of 704 women, after excluding those with osteopenia, a total of 517 patients who met the inclusion criteria were included. Participants were categorized based on T-scores derived from lumbar spine dual-energy X-ray absorptiometry scans. Demographic data, biochemical parameters and TyG index levels were analyzed. Logistic regression, correlation analysis and receiver operating characteristic (ROC) curve analysis were employed for statistical evaluation.
RESULTS: The osteoporosis group (n = 254) exhibited significantly higher TyG index and triglyceride levels compared to controls (n = 263). Longitudinal analysis revealed significant increases in TyG index levels among women developing osteoporosis over time. ROC analysis demonstrated the TyG index's accuracy for osteoporosis (first TyG area under the curve [AUC]: 0.767, second TyG AUC: 0.818, p < 0.001). Regression analyses identified the TyG index as a significant factor associated with osteoporosis (odds ratio: 39.468, 95% confidence interval: 12.884-120.903, p < 0.001).
CONCLUSIONS: The TyG index emerges as a valuable indicator for postmenopausal osteoporosis. These results emphasize the need for integrating metabolic health indicators into osteoporosis management strategies, warranting further research into targeted interventions.