Establishment and Validation of a New Predictive Model for Insulin Resistance based on 2 Chinese Cohorts: A Cross-Sectional Study

Zhang, Shi; Wang, Xin-Cheng; Li, Jing; Wang, Xiaohe; Wang, Yi; Zhang, Yan-Ju; Du, Meiyang; Zhang, Minying; Lin, Jin Ding; Li, Chun‐Jun

doi:10.1155/2022/8968793

Cited by 3 publications

(2 citation statements)

References 28 publications

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“…It is well known that visceral adiposity plays a key role in the development of IR. Therefore, using surrogate indicators that include visceral fat may have a higher predictive value than indicators that use only biochemical measures and this conjecture has been con rmed in previous study [19] . Then we conducted an analysis using the New Model with the VSR, resulting in similar results as HOMA-IR, with the VSR being an independent risk factor for the New Model, while also having the same strength of predictive power for the new model resistance.…”

Section: Discussionsupporting

confidence: 61%

“…Research showed visceral adiposity is crucial in the evolution of IR, and vicarious indicators that re ected visceral obesity may have a higher predictive value for IR. Therefore, our team had established and validated a new IR prediction model [19] that includes visceral obesity indicators, and con rmed its predictive value by comparing it with other vicarious indicators. The formula used to calculate the New Model was (0.0293 * age + 1.4892 * Ln VFA + 0.4966 * Ln TG + 2.784 * Ln FPG + 0.6906 * Ln ALT)/2, and the cut-off value for the New Model was 8.18.…”

Section: Calculation and De Nition Of Multi-organ Irmentioning

confidence: 99%

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The correlation between visceral fat area to skeletal muscle mass ratio and multi-organ insulin resistance in Chinese population with obesity: a cross-sectional study

Zhang,

Du,

et al. 2023

Preprint

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Background: Insulin resistance (IR) is an important risk factor for obesity and cardiometabolic diseases, and our previous findings have demonstrated that visceral fat area to skeletal muscle mass ratio (VSR) is significantly and positively associated with the risk of cardiometabolic diseases. Hence, this study aimed to the relationship between VSR and multi-organ IR, and provide a new approach to improve body composition, reduce the risk of cardiometabolic diseases in patients with obesity, and also set the basis for VSR to increase the incidence of cardiometabolic diseases. Methods: The present study included 398 patients who underwent anthropometric measurements, body composition assessment and biochemical measurements. Body composition was assessed using a bioelectrical impedance analysis method (Inbody770). Spearman correlation analysis was used to investigate the correlation between VSR and homeostatic model assessment for insulin resistance (HOMA-IR) as well as multi-organ IR, including homeostasis model assessment adiponectin (HOMA-AD), adipose tissue insulin resistance (ADIPO-IR), 1/hepatic insulin sensitivity (HISI). We established a new predictive model that included indicator of visceral obesity for IR in previous study, and incorporated the New Model into the present study. Logistic regression was used to analyze the odds ratio (OR) of VSR on the risk of multi-organ IR. The predictive value of VSR for HOMA-IR and New Model were evaluated using the receiver operating characteristic (ROC) curve and the optimal cut-off point was also calculated. Results: VSR was significantly associated with HOMA-IR, HOMA-AD, ADIPO-IR, 1/HISI, and New Model (p<0.001). With the increase of VSR, the OR increased significantly for HOMA-IR and New Model, this association remained even after adjustment of other possible confounding variables(p<0.05). Then all multi-organ IR indicators were quantified, compared to the lowest quartile group, increased VSR was more likely to exacerbate the risk of IR in the highest quartile (p trend<0.001). The area under the curve for predicting IR using VSR for HOMA-IR and New Model was 0.88 for men and 0.85 for women and 0.73 for men and 0.76 for women respectively. Conclusions: There was a significant correlation between VSR and multi-organ IR, and the risk of multi-organ IR increased with increasing VSR. Registration number and date: ChiCTR2100044305, March 16, 2021.

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Section: Discussionsupporting

confidence: 61%

Section: Calculation and De Nition Of Multi-organ Irmentioning

confidence: 99%

The correlation between visceral fat area to skeletal muscle mass ratio and multi-organ insulin resistance in Chinese population with obesity: a cross-sectional study

Zhang,

Du,

et al. 2023

Preprint

Self Cite

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The Correlation Between Visceral Fat Area to Skeletal Muscle Mass Ratio and Multiorgan Insulin Resistance in Chinese Population With Obesity

Zhang,

Du,

et al. 2024

International Journal of Endocrinology

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Aims: Insulin resistance (IR) is an important risk factor for obesity and cardiometabolic diseases, and our previous findings have demonstrated that visceral fat area to skeletal muscle mass ratio (VSR) is significantly and positively associated with the risk of cardiometabolic diseases. Hence, this study aimed to investigate the relationship between VSR and multiorgan IR, provide a new approach to improve body composition, and set the basis for VSR to increase the incidence of cardiometabolic diseases.Materials and Methods: The study included 398 patients who underwent anthropometric and biochemical measurements, and body composition assessment. Spearman correlation analysis was used to investigate the correlation between VSR and homeostatic model assessment for insulin resistance (HOMA‐IR) as well as multiorgan IR, including homeostasis model assessment adiponectin (HOMA‐AD), adipose tissue insulin resistance (ADIPO‐IR), and hepatic insulin sensitivity (HISI). The new model that incorporated into the present study is made up of easily measured biochemical indicators and is used to predict IR. Logistic regression was used to analyze the odds ratio (OR) of VSR on the risk of multiorgan IR. The predictive value of VSR for HOMA‐IR and new model was evaluated using the receiver operating characteristic (ROC) curve.Results: VSR was significantly associated with HOMA‐IR, HOMA‐AD, ADIPO‐IR, 1/HISI, and new model (p < 0.001). With the increase of VSR, the OR increased significantly for HOMA‐IR and new model (p < 0.001). Then, multiorgan IR indicators were quantified, compared to the lowest quartile group, and increased VSR exacerbated the risk of IR in the highest quartile (ptrend < 0.001). The area under the curve for predicting IR using VSR for HOMA‐IR and new model was 0.88 for men, 0.85 for women and 0.73 for men, 0.76 for women, respectively.Conclusions: There was significant correlation between VSR and multiorgan IR, and the risk of multiorgan IR increased with increasing VSR.Trial Registration: Clinical Trial Registry identifier: ChiCTR2100044305.

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Association of Serum Uric Acid with Indices of Insulin Resistance: Proposal of a New Model with Reference to Gender Differences

Liu,

Li,

Zhang

et al. 2024

DMSO

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Background Insulin resistance (IR) is a key feature of type 2 diabetes (T2D) and an independent risk factor for metabolic syndrome. Previous studies have linked elevated serum uric acid (SUA) to an increased risk of T2D. Aim The purpose of this study was to investigate the relationship between SUA and IR. At the same time, the correlation between New model and SUA compared with other IR alternatives was compared, so as to provide a simple and effective new indicator for early detection and prediction of IR risk and early prevention of T2D. Methods The first cohort was the Discovery Cohort, which included 318 obese patients. And the second cohort was the Verification Cohort, which included a total of 4333 subjects who underwent a routine health checkup at our hospital. Spearman correlation analysis and binary logistic regression analysis were used to discuss the correlation between SUA and IR. Results Regardless of sex, fasting insulin (FINS) and IR replacement markers increased with SUA (P<0.001). In both cohorts, SUA was associated with IR alternatives, especially with New model, and differed between men and women in all correlation analyses. After adjusting for confounding factors, SUA was still associated with IR (P<0.001). Conclusion The correlation between SUA and IR was significantly stronger in women than in men. And the correlation between SUA and New model is stronger than other IR replacement models. However, the causal relationship between SUA and IR has not been clearly established.

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Establishment and Validation of a New Predictive Model for Insulin Resistance based on 2 Chinese Cohorts: A Cross-Sectional Study

Cited by 3 publications

References 28 publications

The correlation between visceral fat area to skeletal muscle mass ratio and multi-organ insulin resistance in Chinese population with obesity: a cross-sectional study

The correlation between visceral fat area to skeletal muscle mass ratio and multi-organ insulin resistance in Chinese population with obesity: a cross-sectional study

The Correlation Between Visceral Fat Area to Skeletal Muscle Mass Ratio and Multiorgan Insulin Resistance in Chinese Population With Obesity

Association of Serum Uric Acid with Indices of Insulin Resistance: Proposal of a New Model with Reference to Gender Differences

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