314-OR: The Triglyceride–Glucose Index May be a Surrogate for Both Insulin Resistance and Atherogenic Lipid Profile in Africans

As the insulin assay is expensive and often unavailable in low income countries, the triglyceride-glucose index (TyG) is undergoing global evaluation as both a surrogate marker of insulin resistance (IR) and predictor of cardiovascular disease (CVD). Yet the value of the TyG in African-born populati...

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Veröffentlicht in:Diabetes (New York, N.Y.) N.Y.), 2023-06, Vol.72 (Supplement_1), p.1
Hauptverfasser: WORTHY, CHARLITA, DE DIEU GATETE, JEAN, HURSTON, JAMAIICA, SCHENK, BLAYNE R., MABUNDO, LILIAN, DUBOSE, CHRISTOPHER, JAGANNATHAN, RAM, SUMNER, ANNE E.
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Sprache:eng
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Zusammenfassung:As the insulin assay is expensive and often unavailable in low income countries, the triglyceride-glucose index (TyG) is undergoing global evaluation as both a surrogate marker of insulin resistance (IR) and predictor of cardiovascular disease (CVD). Yet the value of the TyG in African-born populations is uncertain. Therefore, in 555 African-born Blacks currently living in the Washington, DC area (Age: 39±0.4y (mean±SE), Male: 65% (358/555), BMI: 27.7±0.2 kg/m2) we determined: 1) ability of TyG to predict the presence of IR; and 2) correlations between TyG and four lipid parameters, specifically HDL-C and LDL-C, LDL-particle size and LDL-number. Fasting lipid profiles and OGTT were performed. IR was defined by the lowest quartile of the Matsuda Index (≤2.85). Ability of TyG to predict IR was assessed with AUC-ROC curve. Pearson correlations were performed between the lipids and both TyG and Matsuda Index. Diabetes, prediabetes and normal glucose tolerance occurred in 7% (37/555), 31% (173/555) and 62% (345/555) resp. AUC-ROC for the prediction of IR by TyG was 0.75±0.02. Correlations between the lipids and both TyG and Matsuda Index were highly significant (Table). But correlations with each lipid were stronger with TyG than Matsuda Index. Overall, TyG is marker of IR in Africans and may be better than Matsuda Index in predicting CVD because of stronger correlations with atherogenic lipids.
ISSN:0012-1797
1939-327X
DOI:10.2337/db23-314-OR