Performance of Triglyceride-Glucose Index and Lipid Accumulation Product for Prediction of Metabolic Syndrome in Young Adults of Bangladesh

TyG index and LAP in metabolic syndrome

Authors

  • Shamina Alam Dept. of Biochemistry, City Medical College, Gazipur
  • Ifat Ara Begum Dept. Of Biochemistry, Sir Salimullah Medical College, Dhaka
  • Rayhan Sharif Department of Physical Medicine & Rehabilitation, Eastern Medical College, Cumilla
  • Sharmin Chowdhury Sir Salimullah Medical College, Dhaka
  • Tinni Rani Das Department of Biochemistry, Eastern Medical College, Cumilla
  • Tanjida Ruba Lita Dhaka Medical Hospital, Dhaka

DOI:

https://doi.org/10.3329/bmrcb.v51i02.83380

Keywords:

Triglyceride-Glucose Index (TyG), Lipid Accumulation Product (LAP), Metabolic Syndrome (MetS)

Abstract

Background: Insulin resistance, central adiposity, and aging are key contributors to rise of prevalence of metabolic syndrome (MetS) worldwide, including in Bangladesh. Early detection of individuals at risk of MetS is crucial for prevention. The Triglyceride-Glucose (TyG) index, calculated from fasting plasma glucose (FPG) and triglyceride (TG) levels, serves as a surrogate marker for insulin resistance. Lipid Accumulation Product (LAP), calculated from waist circumference (WC) and TG levels, reflects central obesity. Therefore, TyG index & LAP may predict MetS more effectively.

Objective: To evaluate the association of TyG index and LAP with MetS in young adults of Bangladesh.

Methods: This cross-sectional study was conducted at Sir Salimullah Medical College from March 2024 to February 2025. Using purposive sampling, 246 apparently healthy urban adults (18-40 years) were recruited. MetS was defined per modified NCEP-ATP III guidelines. Demographic, clinical, and biochemical data were collected. TyG index and LAP were calculated, and their associations with MetS were analyzed by unpaired t-test. Youden index was done to determine the optimal cut-off values for the TyG index and LAP in predicting MetS. Using these cut off values their diagnostic performance for prediction of MetS was determined by receiver operating characteristic (ROC) curve analysis and sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) was calculated. A p-value ≤0.05 was considered statistically significant.

Results: Among 246 young adults, the prevalence of metabolic syndrome (MetS) was 34.6%. Both TyG index and LAP were significantly higher in participants with MetS (p < 0.001). The optimal cut-off values were 8.69 for TyG and 39.93 for LAP. Individuals with TyG >8.69 and LAP >39.93 had increased risk of MetS. ROC analysis showed excellent diagnostic performance of TyG (sensitivity 97.6%, specificity 85.7%, PPV 78.3%, NPV 98.5%, AUC 0.962, accuracy 90.2%) and LAP (sensitivity 98.8%, specificity 77.0%, PPV 69.2%, NPV 98.6%, AUC 0.976, accuracy 84.2%) for detection of MetS.

Conclusion: High Triglyceride-Glucose (TyG) Index and raised Lipid Accumulation Product (LAP) are associated with metabolic syndrome (MetS) in young adults in Bangladesh. Both indices demonstrate high diagnostic efficacy for MetS with cutoff point 8.69 for TyG index & 39.93 for LAP, making them valuable non-invasive and cost-effective surrogate markers for identifying individuals at risk of MetS. Given their simplicity and reliability, TyG index and LAP can be utilized for early detection and screening of MetS.

Bangladesh Medical Res Counc Bull 2025;51(2): 75-80

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Published

2025-11-20

Issue

Vol. 51 No. 2 (2025)

Section

Research Papers

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Copyright (c) 2025 Shamina Alam, Ifat Ara Begum, Rayhan Sharif , Sharmin Chowdhury, Tinni Rani Das , Tanjida Ruba Lita

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