Predictive performance of traditional and novel lipid combined anthropometric indices to identify prediabetes

Nayak, Vineetha K. Ramdas; Nayak, Kirtana Raghurama; Vidyasagar, Sudha; Rekha, Punchappady Devasya

doi:10.1016/j.dsx.2020.06.045

Cited by 28 publications

(11 citation statements)

References 38 publications

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“…Indeed, the TyG measurement may enable the estimation of fat content in a single, low cost and conventional manner, with important clinical and epidemiological applications. 37,38 Interestingly, the predictive performance of the TyG index as an adiposity indicator has been reported in an Indian population, 39 as well as cardiometabolic risk predictor in an Arabian population. 40 The anthropometric amelioration and metabolic amelioration found in this study after energy restriction are similar to those reported in other comparable trials such as NUGENOB, 41 PREVIEW, 42 POUNDS LOST, 43 Look AHEAD 44 and DiRECT.…”

Section: Discussionmentioning

confidence: 96%

Section: Discussionmentioning

confidence: 99%

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The triglyceride‐glucose index as an adiposity marker and a predictor of fat loss induced by a low‐calorie diet

Vidal-Ostos

Ramos-López

Blaak

et al. 2021

Eur J Clin Investigation

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Background: This study aimed to investigate the putative role of the triglycerideglucose index (TyG index) computed as ln[TG (mg/dl) × glucose (mg/dl)/2] and derived proxies as predictors of adiposity and weight loss changes after a lowcalorie diet (LCD) intervention.Methods: A total of 744 adult participants from the multicentre DIOGenes intervention study were prescribed a LCD (800 kcal/day) during 8 weeks. Body composition and fat content at baseline and after 8 weeks were estimated by DEXA/BIA. A multivariate analysis approach was used to estimate the difference in ΔWeight 1-2 (kg), ΔBMI 1-2 (kg/m 2 ) or ΔFat 1-2 (%) between the basal value (point 1) and after 8 weeks following a LCD (point 2), respectively. The TyG index at baseline (TyG 1 ), after following the LCD for 8 weeks (TyG 2 ) or the TyG index differences between both time points (ΔTyG 1-2 ) were analysed as predictors of weight and fat changes.Results: TyG 1 was associated with ΔWeight 1-2 (kg) and ΔBMI 1-2 (kg/m 2 ), with β = 0.812 (p = .017) and β = 0.265 (p = .018), respectively. Also, TyG 2 values were inversely related to ΔFat 1-2 (%), β = −1.473 (p = .015). Moreover, ΔTyG 1-2 was associated with ΔWeight 1-2 (kg) and ΔFat 1-2 (%), β = 0.689 (p = .045) and β = 1.764 (p = .002), respectively. Furthermore, an association between TyG 2 and resistance to fat loss was found (p = .015). Conclusion:TyG 1 index is a good predictor of weight loss induced by LCD. Moreover, TyG 2 was closely related to resistance to fat loss, while ΔTyG 1-2 values were positively associated with body fat changes. Therefore, TyG index and derived estimations could be used as markers of individualized responses to energy restriction and a surrogate of body composition outcomes in clinical/epidemiological settings in obesity conditions.

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Section: Discussionmentioning

confidence: 96%

Section: Discussionmentioning

confidence: 99%

The triglyceride‐glucose index as an adiposity marker and a predictor of fat loss induced by a low‐calorie diet

Vidal-Ostos

Ramos-López

Blaak

et al. 2021

Eur J Clin Investigation

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“…However, the current research on the association of pre-diabetes with TyG-BMI is limited, and there are only two related studies. Zheng et al first found that TyG-BMI can be used to assess the pre-diabetes risk of first-degree relatives of diabetic patients [ 32 ], and a subsequent study in India found a similar association in the general population [ 33 ]. Although these two studies have revealed an association between TyG-BMI and pre-diabetes, there are still some limitations in their studies.…”

Section: Discussionmentioning

confidence: 99%

Triglyceride glucose-body mass index in identifying high-risk groups of pre-diabetes

et al. 2021

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Background Triglyceride glucose-body mass index (TyG-BMI) has been recommended as an alternative indicator of insulin resistance. However, the association between TyG-BMI and pre-diabetes remains to be elucidated. Methods More than 100,000 subjects with normal glucose at baseline received follow-up. The main outcome event of concern was pre-diabetes defined according to the diagnostic criteria recommended by the American Diabetes Association (ADA) in 2018 and the World Health Organization (WHO) in 1999. A Cox proportional hazard regression model was used to evaluate the role of TyG-BMI in identifying people at high risk of pre-diabetes. Results At a mean observation period of 3.1 years, the incidence of pre-diabetes in the cohort was 3.70 and 12.31% according to the WHO and ADA diagnostic criteria for pre-diabetes, respectively. The multivariate Cox regression analysis demonstrated that TyG-BMI was independently positively correlated with pre-diabetes, and there was a special population dependence phenomenon. Among them, non-obese people, women and people under 50 years old had a significantly higher risk of TyG-BMI-related pre-diabetes (P-interaction< 0.05). Conclusions These findings suggest that a higher TyG-BMI significantly increases an individual’s risk of pre-diabetes, and this risk is significantly higher in women, non-obese individuals, and individuals younger than 50 years of age.

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“…The triglyceride glucose (TyG) index (TyG index = Ln[(triglyceride(mg/dL) × glucose(mg/dL)/2]) was also best correlated with prediabetes in both sexes [117,118] in comparison with obesity indices of BMI and waist, lipid profiles of TG, and HDL-C, TG/HDL-C, and was superior to FPG in female and obese patients [119]. In other studies, triglyceride glucose-waist circumference (WC) index (TyG-WC = TyG index × WC (cm)) had the highest predictability in females, closely followed by lipid accumulation product (LAP), a novel lipid combined anthropometric index used as a surrogate of visceral obesity and insulin resistance, derived from a gender-specific formula by merging WC and TG [120]. In the young population, HbA1c was found to be a reliable discriminator for people at risk of developing diabetes [121].…”

Section: Who Should Be Screened For Prediabetes? Risk Scoresmentioning

confidence: 96%

Phenotyping the Prediabetic Population—A Closer Look at Intermediate Glucose Status and Cardiovascular Disease

Barbu

Popescu

et al. 2021

IJMS

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Even though the new thresholds for defining prediabetes have been around for more than ten years, there is still controversy surrounding the precise characterization of this intermediate glucose metabolism status. The risk of developing diabetes and macro and microvascular disease linked to prediabetes is well known. Still, the prediabetic population is far from being homogenous, and phenotyping it into less heterogeneous groups might prove useful for long-term risk assessment, follow-up, and primary prevention. Unfortunately, the current definition of prediabetes is quite rigid and disregards the underlying pathophysiologic mechanisms and their potential metabolic progression towards overt disease. In addition, prediabetes is commonly associated with a cluster of risk factors that worsen the prognosis. These risk factors all revolve around a common denominator: inflammation. This review focuses on identifying the population that needs to be screened for prediabetes and the already declared prediabetic patients who are at a higher risk of cardiovascular disease and require closer monitoring.

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Predictive performance of traditional and novel lipid combined anthropometric indices to identify prediabetes

Cited by 28 publications

References 38 publications

The triglyceride‐glucose index as an adiposity marker and a predictor of fat loss induced by a low‐calorie diet

The triglyceride‐glucose index as an adiposity marker and a predictor of fat loss induced by a low‐calorie diet

Triglyceride glucose-body mass index in identifying high-risk groups of pre-diabetes

Phenotyping the Prediabetic Population—A Closer Look at Intermediate Glucose Status and Cardiovascular Disease

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