Value of the triglyceride–glucose index and non-traditional blood lipid parameters in predicting metabolic syndrome in women with polycystic ovary syndrome

Zhang, Lijuan; Wang, Hui; Ma, Qiang; Liu, Yifan; Chen, Airong; Lü, Jing; Ren, Liuliu

doi:10.1007/s42000-023-00438-6

Cited by 7 publications

(2 citation statements)

References 45 publications

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“…We also indicated that non-HDL-c is related to MetS, especially in women. The AUCs of non-HDL-c for men and women were 0.57 and 0.63, respectively, which were lower than those of the Chinese [ 45 ] and Polish studies [ 46 ]. These differences may be due to differences in the ethnicities of the studied populations.…”

Section: Discussionmentioning

confidence: 57%

Comparison of atherogenic indices for predicting the risk of metabolic syndrome in Southwest Iran: results from the Hoveyzeh Cohort Study (HCS)

Babaahmadi‐Rezaei,

Raeisizadeh,

Zarezade

et al. 2024

Diabetol Metab Syndr

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Background Metabolic syndrome (MetS) is a cluster of risk factors related to diabetes and cardiovascular disease (CVD). Given that early identification of MetS might decrease CVD risk, it is imperative to establish a simple and cost-effective method to identify individuals at risk of MetS. The purpose of this study was to explore the relationships between several atherogenic indices (including AIP, TyG index, non-HDL-C, LDL-c/HDL-c, and TC/HDL-c) and MetS, and to assess the ability of these indices to predict MetS. Methods The present cross-sectional study was conducted using baseline data from 9809 participants of the Hoveyzeh Cohort Study (HCS). MetS was defined based on the International Diabetes Federation (IDF). To examine the discriminatory abilities of each atherogenic indices in the identification of MetS, a receiver-operating characteristic curve was conducted. Logistic regression analysis was also performed to evaluate the relationship between atherogenic indices and MetS. Results All of the atherogenic indices including the TyG index, AIP, non-HDL-C, TC/HDL-c, and LDL-c/HDL-c were significantly higher in participants with MetS than in those without MetS. According to the ROC curve analysis, the TyG index revealed the highest area under the curve (0.79 and 0.85 in men and women, respectively), followed by the AIP (0.76 and 0.83 in men and women, respectively). The best cutoff values for the TyG index and AIP were 8.96 and 0.16 for men and 8.84 and 0.05 for women, respectively. The TyG index and AIP were also strongly associated with MetS. Conclusion Among the 5 atherogenic indices evaluated, the TyG index and AIP were strongly related to MetS. The TyG index also demonstrated superior discriminative ability compared to other atherogenic indices in predicting MetS.

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Section: Discussionmentioning

confidence: 57%

Comparison of atherogenic indices for predicting the risk of metabolic syndrome in Southwest Iran: results from the Hoveyzeh Cohort Study (HCS)

Babaahmadi‐Rezaei,

Raeisizadeh,

Zarezade

et al. 2024

Diabetol Metab Syndr

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“…The results showed that the TyG index had a higher correlation with insulin resistance compared to HOMA-IR, with Pearson correlation coefficients of -0.64 and -0.51, respectively.In addition, the TyG index had better diagnostic power for IR (AUC=0.79) ( 16 ). In addition, the advantages of the TyG index have been demonstrated in many diseases, such as cardiovascular disease ( 17 ), type 2 diabetes ( 18 ) and polycystic ovary syndrome (PCOS) ( 19 ). In spite of this, no studies have been conducted on how the TyG index correlates with HI.…”

Section: Introductionmentioning

confidence: 99%

Correlation between hearing impairment and the Triglyceride Glucose Index: based on a national cross-sectional study

Liu,

Qin,

et al. 2023

Front. Endocrinol.

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ObjectiveData from the National Health and Nutrition Examination Survey (NHANES) were used to assess the association between the triglyceride-glucose (TyG) index and hearing impairment (HI).MethodsWe used eight survey cycles from NHANES 2001–2012 and 2015–2018 to conduct this cross-sectional study. HI was designed as an dependent variable, and the TyG index was selected as an exposure factor (independent variable). The correlation between the two variables was assessed using multiple logistic regression. In order to assess whether there was a non-linear relationship between the TyG index and HI, the TyG index was distributed and a test for trend was conducted (P for trend), followed by smooth curve fitting (penalized spline) and generalized additive model (GAM) regression. We also performed a subgroup analysis to identify sensitive groups whose responses were clearly associated with independent variables.Results10,906 participants were finally included in the study, and those with a higher TyG index had a higher frequency of hearing impairment. There was a linear positive correlation between the TyG index and HI. For the low-frequency HI, however, this positive correlation was not statistically significant (OR = 1.05, 95% CI: 0.98, 1.14); however, it was more stable for the high-frequency HI (OR = 1.12, 95% CI: 1.03, 1.22). Additionally, as the TyG index increased, this positive association increased as well (P for trend = 0.05). The HPTA test showed a positive association with more severe HI (simultaneous) as the independent variable increased (OR = 1.14, 95% CI: 1.05–1.24), and this association was even more significant with increasing severity (P for trend 0.05). According to the subgroup analysis, the positive association between TyG index and high-frequency HI was more significant in females, 40–69 years old, without hypertension or diabetes, and when strict high-frequency HI was significant in males, females, 40–69 years old, with hypertension and diabetes.ConclusionParticipants with a higher TyG index may have a higher risk of HI. TyG index and HI risk showed a linear relationship, which became even more significant when HPTA was included.

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From obesity in ancient times to the very latest vital research data on metabolic syndrome and other significant updates

Stratakis

2023

Hormones

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Value of the triglyceride–glucose index and non-traditional blood lipid parameters in predicting metabolic syndrome in women with polycystic ovary syndrome

Cited by 7 publications

References 45 publications

Comparison of atherogenic indices for predicting the risk of metabolic syndrome in Southwest Iran: results from the Hoveyzeh Cohort Study (HCS)

Comparison of atherogenic indices for predicting the risk of metabolic syndrome in Southwest Iran: results from the Hoveyzeh Cohort Study (HCS)

Correlation between hearing impairment and the Triglyceride Glucose Index: based on a national cross-sectional study

From obesity in ancient times to the very latest vital research data on metabolic syndrome and other significant updates

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