Diagnostic and prognostic value of triglyceride glucose index: a comprehensive evaluation of meta-analysis

Abstract Objective The present umbrella review aims to collate and summarize the findings from previous meta-analyses on the Triglyceride and Glucose (TyG) Index, providing insights to clinicians, researchers, and policymakers regarding the usefulness of this biomarker in various clinical settings....

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Published in:Cardiovascular Diabetology
Main Authors: Sandeep Samethadka Nayak, Dona Kuriyakose, Lakshmi D. Polisetty, Anjali Avinash Patil, Daniyal Ameen, Rakshita Bonu, Samatha P. Shetty, Pubali Biswas, Micheal T. Ulrich, Negin Letafatkar, Arman Habibi, Mohammad-Hossein Keivanlou, Sara Nobakht, Abdulhadi Alotaibi, Soheil Hassanipour, Ehsan Amini-Salehi
Format: Article
Language:English
Published: BMC 2024-08-01
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Online Access:https://doi.org/10.1186/s12933-024-02392-y
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author Sandeep Samethadka Nayak
Dona Kuriyakose
Lakshmi D. Polisetty
Anjali Avinash Patil
Daniyal Ameen
Rakshita Bonu
Samatha P. Shetty
Pubali Biswas
Micheal T. Ulrich
Negin Letafatkar
Arman Habibi
Mohammad-Hossein Keivanlou
Sara Nobakht
Abdulhadi Alotaibi
Soheil Hassanipour
Ehsan Amini-Salehi
author_facet Sandeep Samethadka Nayak
Dona Kuriyakose
Lakshmi D. Polisetty
Anjali Avinash Patil
Daniyal Ameen
Rakshita Bonu
Samatha P. Shetty
Pubali Biswas
Micheal T. Ulrich
Negin Letafatkar
Arman Habibi
Mohammad-Hossein Keivanlou
Sara Nobakht
Abdulhadi Alotaibi
Soheil Hassanipour
Ehsan Amini-Salehi
author_sort Sandeep Samethadka Nayak
collection DOAJ
container_title Cardiovascular Diabetology
description Abstract Objective The present umbrella review aims to collate and summarize the findings from previous meta-analyses on the Triglyceride and Glucose (TyG) Index, providing insights to clinicians, researchers, and policymakers regarding the usefulness of this biomarker in various clinical settings. Methods A comprehensive search was conducted in PubMed, Scopus, and Web of Science up to April 14, 2024, without language restrictions. The AMSTAR2 checklist assessed the methodological quality of the included meta-analyses. Statistical analyses were performed using Comprehensive Meta-Analysis (CMA) software. Results A total of 32 studies were finally included. The results revealed significant associations between the TyG index and various health outcomes. For kidney outcomes, a high TyG index was significantly associated with an increased risk of contrast-induced nephropathy (CIN) (OR = 2.24, 95% CI: 1.82–2.77) and chronic kidney disease (CKD) (RR = 1.46, 95% CI: 1.32–1.63). High TyG index was significantly associated with an increased risk of type 2 diabetes mellitus (T2DM) (RR = 3.53, 95% CI: 2.74–4.54), gestational diabetes mellitus (GDM) (OR = 2.41, 95% CI: 1.48–3.91), and diabetic retinopathy (DR) (OR = 2.34, 95% CI: 1.31–4.19). Regarding metabolic diseases, the TyG index was significantly higher in patients with obstructive sleep apnea (OSA) (SMD = 0.86, 95% CI: 0.57–1.15), metabolic syndrome (MD = 0.83, 95% CI: 0.74–0.93), and non-alcoholic fatty liver disease (NAFLD) (OR = 2.36, 95% CI: 1.88–2.97) compared to those without these conditions. In cerebrovascular diseases, a higher TyG index was significantly associated with an increased risk of dementia (OR = 1.14, 95% CI: 1.12–1.16), cognitive impairment (OR = 2.31, 95% CI: 1.38–3.86), and ischemic stroke (OR = 1.37, 95% CI: 1.22–1.54). For cardiovascular outcomes, the TyG index showed significant associations with an increased risk of heart failure (HF) (HR = 1.21, 95% CI: 1.12–1.30), atrial fibrillation (AF) (SMD = 1.22, 95% CI: 0.57–1.87), and hypertension (HTN) (RR = 1.52, 95% CI: 1.25–1.85). Conclusion The TyG index is a promising biomarker for screening and predicting various medical conditions, particularly those related to insulin resistance and metabolic disorders. However, the heterogeneity and methodological quality of the included studies suggest the need for further high-quality research to confirm these findings and refine the clinical utility of the TyG index. Graphical abstract
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spelling doaj-art-c6fc5f16e0174e46bb4b43dfa82d20ff2025-08-20T00:52:36ZengBMCCardiovascular Diabetology1475-28402024-08-0123114410.1186/s12933-024-02392-yDiagnostic and prognostic value of triglyceride glucose index: a comprehensive evaluation of meta-analysisSandeep Samethadka Nayak0Dona Kuriyakose1Lakshmi D. Polisetty2Anjali Avinash Patil3Daniyal Ameen4Rakshita Bonu5Samatha P. Shetty6Pubali Biswas7Micheal T. Ulrich8Negin Letafatkar9Arman Habibi10Mohammad-Hossein Keivanlou11Sara Nobakht12Abdulhadi Alotaibi13Soheil Hassanipour14Ehsan Amini-Salehi15Division of Hospital Medicine, Department of Internal Medicine, Bridgeport Hospital, Yale New HeavenSt. Joseph’s Mission HospitalDivision of Hospital Medicine, Department of Internal Medicine, Bridgeport Hospital, Yale New HeavenRajarshee Chhatrapati Shahu Maharaj Government Medical College Kolhapur Shenda parkDivision of Hospital Medicine, Department of Internal Medicine, Bridgeport Hospital, Yale New HeavenVydehi Institute of Medical Sciences and Research CentreDirector of Capacity Management, NYC Health HospitalsVydehi Institute of Medical Sciences and Research CentreRiverside University Health System Medical CenterGuilan University of Medical SciencesGuilan University of Medical SciencesGuilan University of Medical SciencesGuilan University of Medical SciencesVision CollegesGastrointestinal and Liver Diseases Research Center, Guilan University of Medical SciencesGuilan University of Medical SciencesAbstract Objective The present umbrella review aims to collate and summarize the findings from previous meta-analyses on the Triglyceride and Glucose (TyG) Index, providing insights to clinicians, researchers, and policymakers regarding the usefulness of this biomarker in various clinical settings. Methods A comprehensive search was conducted in PubMed, Scopus, and Web of Science up to April 14, 2024, without language restrictions. The AMSTAR2 checklist assessed the methodological quality of the included meta-analyses. Statistical analyses were performed using Comprehensive Meta-Analysis (CMA) software. Results A total of 32 studies were finally included. The results revealed significant associations between the TyG index and various health outcomes. For kidney outcomes, a high TyG index was significantly associated with an increased risk of contrast-induced nephropathy (CIN) (OR = 2.24, 95% CI: 1.82–2.77) and chronic kidney disease (CKD) (RR = 1.46, 95% CI: 1.32–1.63). High TyG index was significantly associated with an increased risk of type 2 diabetes mellitus (T2DM) (RR = 3.53, 95% CI: 2.74–4.54), gestational diabetes mellitus (GDM) (OR = 2.41, 95% CI: 1.48–3.91), and diabetic retinopathy (DR) (OR = 2.34, 95% CI: 1.31–4.19). Regarding metabolic diseases, the TyG index was significantly higher in patients with obstructive sleep apnea (OSA) (SMD = 0.86, 95% CI: 0.57–1.15), metabolic syndrome (MD = 0.83, 95% CI: 0.74–0.93), and non-alcoholic fatty liver disease (NAFLD) (OR = 2.36, 95% CI: 1.88–2.97) compared to those without these conditions. In cerebrovascular diseases, a higher TyG index was significantly associated with an increased risk of dementia (OR = 1.14, 95% CI: 1.12–1.16), cognitive impairment (OR = 2.31, 95% CI: 1.38–3.86), and ischemic stroke (OR = 1.37, 95% CI: 1.22–1.54). For cardiovascular outcomes, the TyG index showed significant associations with an increased risk of heart failure (HF) (HR = 1.21, 95% CI: 1.12–1.30), atrial fibrillation (AF) (SMD = 1.22, 95% CI: 0.57–1.87), and hypertension (HTN) (RR = 1.52, 95% CI: 1.25–1.85). Conclusion The TyG index is a promising biomarker for screening and predicting various medical conditions, particularly those related to insulin resistance and metabolic disorders. However, the heterogeneity and methodological quality of the included studies suggest the need for further high-quality research to confirm these findings and refine the clinical utility of the TyG index. Graphical abstracthttps://doi.org/10.1186/s12933-024-02392-yTriglyceride and glucose (TyG) indexTyGMeta-analysisUmbrella reviewCardiovascular outcomesInsulin resistance
spellingShingle Sandeep Samethadka Nayak
Dona Kuriyakose
Lakshmi D. Polisetty
Anjali Avinash Patil
Daniyal Ameen
Rakshita Bonu
Samatha P. Shetty
Pubali Biswas
Micheal T. Ulrich
Negin Letafatkar
Arman Habibi
Mohammad-Hossein Keivanlou
Sara Nobakht
Abdulhadi Alotaibi
Soheil Hassanipour
Ehsan Amini-Salehi
Diagnostic and prognostic value of triglyceride glucose index: a comprehensive evaluation of meta-analysis
Triglyceride and glucose (TyG) index
TyG
Meta-analysis
Umbrella review
Cardiovascular outcomes
Insulin resistance
title Diagnostic and prognostic value of triglyceride glucose index: a comprehensive evaluation of meta-analysis
title_full Diagnostic and prognostic value of triglyceride glucose index: a comprehensive evaluation of meta-analysis
title_fullStr Diagnostic and prognostic value of triglyceride glucose index: a comprehensive evaluation of meta-analysis
title_full_unstemmed Diagnostic and prognostic value of triglyceride glucose index: a comprehensive evaluation of meta-analysis
title_short Diagnostic and prognostic value of triglyceride glucose index: a comprehensive evaluation of meta-analysis
title_sort diagnostic and prognostic value of triglyceride glucose index a comprehensive evaluation of meta analysis
topic Triglyceride and glucose (TyG) index
TyG
Meta-analysis
Umbrella review
Cardiovascular outcomes
Insulin resistance
url https://doi.org/10.1186/s12933-024-02392-y
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