Triglyceride-Glucose Index and Atherogenic Index as Alternative Biomarkers for Glycemic Control in Type 2 Diabetes Mellitus DOI Open Access
Margit Gajjar,

Mritunjay Kumar Mishra,

Tejas Shah

et al.

Cureus, Journal Year: 2025, Volume and Issue: unknown

Published: March 31, 2025

The triglyceride-glucose (TyG) index and the atherogenic (AI) are emerging biomarkers that have been gaining attention in diabetes management as alternatives for assessing glycemic control clinical settings. Since direct measurement of insulin resistance is impractical routine care, it offers a more accessible alternative with potential broad application. TyG AI can serve useful substitute could help type 2 mellitus (T2DM). A cross-sectional study was conducted 200 T2DM participants, divided into two groups: 100 good (<7.0%) poor (≥7.0%), based on HbA1c levels. Lipid profile were measured using Chem-7 (Erba Mannheim, India) Insta Check semi-auto analyzers. index, TyG-body mass (BMI), TyG-waist circumference (WC) calculated standard formulas. Statistical analysis performed by SPSS 20.0 (IBM Corp., Armonk, New York, US), p < 0.05 considered statistically significant. Among subjects, 63% men 37% women. mean age subjects 61.24 ± 7.25 years. level significantly higher (30.36 5.51, 0.001) than (4.06 0.05, 0.001). significant positive correlation observed between control. has predictive ability (area under curve (AUC): 0.88; 95% confidence interval (CI): 0.83-0.92). optimal cutoff ≥5.22 78.22% sensitivity 94.06% specificity. shows valuable supportive marker T2DM, particularly smaller

Language: Английский

Triglyceride-Glucose Index and Atherogenic Index as Alternative Biomarkers for Glycemic Control in Type 2 Diabetes Mellitus DOI Open Access
Margit Gajjar,

Mritunjay Kumar Mishra,

Tejas Shah

et al.

Cureus, Journal Year: 2025, Volume and Issue: unknown

Published: March 31, 2025

The triglyceride-glucose (TyG) index and the atherogenic (AI) are emerging biomarkers that have been gaining attention in diabetes management as alternatives for assessing glycemic control clinical settings. Since direct measurement of insulin resistance is impractical routine care, it offers a more accessible alternative with potential broad application. TyG AI can serve useful substitute could help type 2 mellitus (T2DM). A cross-sectional study was conducted 200 T2DM participants, divided into two groups: 100 good (<7.0%) poor (≥7.0%), based on HbA1c levels. Lipid profile were measured using Chem-7 (Erba Mannheim, India) Insta Check semi-auto analyzers. index, TyG-body mass (BMI), TyG-waist circumference (WC) calculated standard formulas. Statistical analysis performed by SPSS 20.0 (IBM Corp., Armonk, New York, US), p < 0.05 considered statistically significant. Among subjects, 63% men 37% women. mean age subjects 61.24 ± 7.25 years. level significantly higher (30.36 5.51, 0.001) than (4.06 0.05, 0.001). significant positive correlation observed between control. has predictive ability (area under curve (AUC): 0.88; 95% confidence interval (CI): 0.83-0.92). optimal cutoff ≥5.22 78.22% sensitivity 94.06% specificity. shows valuable supportive marker T2DM, particularly smaller

Language: Английский

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