nach oben

Endocrine

Erschienen in:

04.06.2021 | Meta- Analysis

The association between triglyceride-glucose index and the incidence of type 2 diabetes mellitus—a systematic review and dose–response meta-analysis of cohort studies

verfasst von: Raymond Pranata, Ian Huang, Irvan, Michael Anthonius Lim, Rachel Vania

Erschienen in: Endocrine | Ausgabe 2/2021

Einloggen, um Zugang zu erhalten

Abstarct

Aims

We aimed to assess the dose–response relationship between triglyceride–glucose (TyG) index and the incidence of type 2 diabetes mellitus (T2DM).

Methods

We performed a comprehensive systematic literature search using PubMed, Scopus, and Embase for records published from inception until 9 February 2021. The effect estimates were reported as relative risks (RRs).

Results

270,229 subjects from 14 studies were included in this systematic review and meta-analysis. The pooled incidence of T2DM was 9%. Meta-regression analysis indicates that baseline age (coefficient: 0.67, p = 0.026), drinking (coefficient: 0.03, p = 0.035), and HDL (coefficient: −0.89, p = 0.035) affected the incidence of T2DM in future. High TyG index was associated with increased incidence of T2DM in pooled unadjusted (RR 4.68 [3.01, 7.29], p < 0.001; I²: 96.6%) and adjusted model (adjusted RR 3.54 [2.75, 4.54], p < 0.001; I²: 83.7%). Dose–response meta-analysis for the adjusted RR showed that the linear association analysis was not significant per 0.1 increase in TyG index (RR 1.01 [0.99, 1.03], p = 0.223). There is a non-linear trend (p < 0.001) for the association between TyG index and incidence of T2DM. The dose–response curve became increasingly steeper at TyG index above 8.6.

Conclusions

TyG index was associated with the incidence of T2DM in a non-linear fashion.

Internation Diabetes Federation (2019) International Diabetes Federation; Diabetes Atlas 9th edition (Internation Diabetes Federation, Brussels 2019)

P. Chamroonkiadtikun, T. Ananchaisarp, W. Wanichanon, The triglyceride-glucose index, a predictor of type 2 diabetes development: a retrospective cohort study. Prim. Care Diabetes 14, 161–167 (2020). https://doi.org/10.1016/j.pcd.2019.08.004CrossRefPubMed

B. Park, H.S. Lee, Y.J. Lee, Triglyceride glucose (TyG) index as a predictor of incident type 2 diabetes among nonobese adults: a 12-year longitudinal study of the Korean Genome and Epidemiology Study cohort. Transl. Res. 228, 42–51 (2021). https://doi.org/10.1016/j.trsl.2020.08.003CrossRefPubMed

E. Bonora, G. Formentini, F. Calcaterra et al. HOMA-estimated insulin resistance is an independent predictor of cardiovascular disease in type 2 diabetic subjects: prospective data from the Verona Diabetes Complications Study. Diabetes Care 25, 1135–1141 (2002). https://doi.org/10.2337/diacare.25.7.1135CrossRefPubMed

C.S. Tam, W. Xie, W.D. Johnson et al. Defining insulin resistance from hyperinsulinemic-euglycemic clamps. Diabetes Care 35, 1605 LP–1601610 (2012). https://doi.org/10.2337/dc11-2339CrossRef

A. Sánchez-García, R. Rodríguez-Gutiérrez, L. Mancillas-Adame et al. Diagnostic accuracy of the triglyceride and glucose index for insulin resistance: a systematic review. Int. J. Endocrinol. 2020, 1–7 (2020). https://doi.org/10.1155/2020/4678526CrossRef

K. Park, C.W. Ahn, S.B. Lee et al. Elevated TyG index predicts progression of coronary artery calcification. Diabetes Care 42, 1569–1573 (2019). https://doi.org/10.2337/dc18-1920CrossRefPubMed

A. da Silva, A.P.S. Caldas, D.M.U.P. Rocha, J. Bressan, Triglyceride-glucose index predicts independently type 2 diabetes mellitus risk: a systematic review and meta-analysis of cohort studies. Prim. Care Diabetes 14, 584–593 (2020). https://doi.org/10.1016/j.pcd.2020.09.001CrossRefPubMed

C. Chen, L. Liu, K. Lo et al. Association between triglyceride glucose index and risk of new-onset diabetes among chinese adults: findings from the China Health and Retirement Longitudinal Study. Front. Cardiovasc. Med. 7, 1–8 (2020). https://doi.org/10.3389/fcvm.2020.610322CrossRef

10.

M. Janghorbani, S.Z. Almasi, M. Amini, The product of triglycerides and glucose in comparison with fasting plasma glucose did not improve diabetes prediction. Acta Diabetol. 52, 781–788 (2015). https://doi.org/10.1007/s00592-014-0709-5CrossRefPubMed

11.

D.Y. Lee, E.S. Lee, J.H. Kim et al. Predictive value of triglyceride glucose index for the risk of incident diabetes: A 4-year retrospective longitudinal study. PLoS ONE 11, 1–14 (2016). https://doi.org/10.1371/journal.pone.0163465CrossRef

12.

J.W. Lee, N.K. Lim, H.Y. Park, The product of fasting plasma glucose and triglycerides improves risk prediction of type 2 diabetes in middle-aged Koreans. BMC Endocr. Disord. 18, 1–10 (2018). https://doi.org/10.1186/s12902-018-0259-xCrossRef

13.

S.H. Lee, H.S. Kwon, Y.M. Park et al. Predicting the development of diabetes using the product of triglycerides and glucose: The chungju metabolic disease cohort (CMC) study. PLoS ONE 9 (2014). https://doi.org/10.1371/journal.pone.0090430

14.

X. Li, G. Li, T. Cheng et al. Association between triglyceride-glucose index and risk of incident diabetes: a secondary analysis based on a Chinese cohort study: TyG index and incident diabetes. Lipids Health Dis. 19, 1–11 (2020). https://doi.org/10.1186/s12944-020-01403-7CrossRefPubMedPubMedCentral

15.

E.Q. Liu, Y.P. Weng, A.M. Zhou, C.L. Zeng, Association between triglyceride-glucose index and type 2 diabetes mellitus in the Japanese population: a secondary analysis of a retrospective cohort study. Biomed. Res. Int. (2020). https://doi.org/10.1155/2020/2947067

16.

S. Low, K.C.J. Khoo, B. Irwan et al. The role of triglyceride glucose index in development of Type 2 diabetes mellitus. Diabetes Res. Clin. Pract. 143, 43–49 (2018). https://doi.org/10.1016/j.diabres.2018.06.006CrossRefPubMed

17.

D. Navarro-González, L. Sánchez-Íñigo, J. Pastrana-Delgado et al. Triglyceride-glucose index (TyG index) in comparison with fasting plasma glucose improved diabetes prediction in patients with normal fasting glucose: The Vascular-Metabolic CUN cohort. Prev. Med. 86, 99–105 (2016). https://doi.org/10.1016/j.ypmed.2016.01.022CrossRefPubMed

18.

B. Wang, M. Zhang, Y. Liu et al. Utility of three novel insulin resistance-related lipid indices for predicting type 2 diabetes mellitus among people with normal fasting glucose in rural China. J. Diabetes 10, 641–652 (2018). https://doi.org/10.1111/1753-0407.12642CrossRefPubMed

19.

Z. Wang, L. Zhao, S. He. Triglyceride–glucose index as predictor for future type 2 diabetes mellitus in a Chinese population in southwest China: a 15-year prospective study. Endocrine (2021). https://doi.org/10.1007/s12020-020-02589-7

20.

M. Zhang, B. Wang, Y. Liu et al. Cumulative increased risk of incident type 2 diabetes mellitus with increasing triglyceride glucose index in normal-weight people: The Rural Chinese Cohort Study. Cardiovasc. Diabetol. 16, 1–11 (2017). https://doi.org/10.1186/s12933-017-0514-xCrossRef

21.

S.-H. Lee, H.-S. Kim, Y.-M. Park et al. HDL-cholesterol, its variability, and the risk of diabetes: a nationwide population-based study. J. Clin. Endocrinol. Metab. 104, 5633–5641 (2019). https://doi.org/10.1210/jc.2019-01080CrossRefPubMed

22.

P.W.F. Wilson, J.B. Meigs, L. Sullivan et al. Prediction of incident diabetes mellitus in middle-aged adults: The framingham offspring study. Arch. Intern. Med. 167, 1068–1074 (2007). https://doi.org/10.1001/archinte.167.10.1068CrossRefPubMed

23.

A.L. Siebel, S.E. Heywood, B.A. Kingwell, HDL and glucose metabolism: Current evidence and therapeutic potential. Front. Pharmacol. 6 (2015). https://doi.org/10.3389/fphar.2015.00258

24.

B.G. Drew, K.A. Rye, S.J. Duffy et al. The emerging role of HDL in glucose metabolism. Nat. Rev. Endocrinol. 8, 237–245 (2012). https://doi.org/10.1038/nrendo.2011.235CrossRefPubMed

25.

X. He, C.M. Rebholz, N. Daya et al. Alcohol consumption and incident diabetes: the Atherosclerosis Risk in Communities (ARIC) study. Diabetologia 62, 770–778 (2019). https://doi.org/10.1007/s00125-019-4833-1CrossRefPubMedPubMedCentral

26.

S. Carlsson, N. Hammar, V. Grill, J. Kaprio, Alcohol consumption and the incidence of type 2 diabetes: a 20-year follow-up of the Finnish Twin Cohort Study. Diabetes Care 26, 2785–2790 (2003). https://doi.org/10.2337/diacare.26.10.2785CrossRefPubMed

27.

M. Snel, J.T. Jonker, J. Schoones et al. Ectopic fat and insulin resistance: pathophysiology and effect of diet and lifestyle interventions. Int J. Endocrinol. 2012, 983814 (2012). https://doi.org/10.1155/2012/983814CrossRefPubMedPubMedCentral

28.

D. Ferrara, F. Montecucco, F. Dallegri, F. Carbone, Impact of different ectopic fat depots on cardiovascular and metabolic diseases. J. Cell Physiol. 234, 21630–21641 (2019). https://doi.org/10.1002/jcp.28821CrossRefPubMed

29.

V.T. Samuel, G.I. Shulman, The pathogenesis of insulin resistance: integrating signaling pathways and substrate flux. J. Clin. Investig. 126, 12–22 (2016). https://doi.org/10.1172/JCI77812CrossRefPubMedPubMedCentral

30.

K. Morino, K.F. Petersen, G.I. Shulman, Molecular mechanisms of insulin resistance in humans and their potential links with mitochondrial dysfunction. Diabetes 55(Suppl 2), S9–S15 (2006). https://doi.org/10.2337/db06-S002CrossRefPubMed

31.

E.-Q. Liu, Y.-P. Weng, A.-M. Zhou, C.-L. Zeng, Association between triglyceride-glucose index and type 2 diabetes mellitus in the Japanese population: a secondary analysis of a retrospective cohort study. Biomed. Res. Int. 2020, 2947067 (2020). https://doi.org/10.1155/2020/2947067CrossRefPubMedPubMedCentral

32.

B. Gustafson, S. Hedjazifar, S. Gogg et al. Insulin resistance and impaired adipogenesis. Trends Endocrinol. Metab. 26, 193–200 (2015). https://doi.org/10.1016/j.tem.2015.01.006CrossRefPubMed

33.

A. Katsuki, Y. Sumida, E.C. Gabazza et al. Homeostasis model assessment is a reliable indicator of insulin resistance during follow-up of patients with type 2 diabetes. Diabetes Care 24, 362 LP–362365 (2001). https://doi.org/10.2337/diacare.24.2.362CrossRef

34.

Y. Wang, P. Fedorcsák, P.O. Dale et al. Simplification of continuous infusion of glucose with model assessment in the evaluation of insulin resistance in women with PCOS. Gynecol. Endocrinol. 15, 192–197 (2001). https://doi.org/10.1080/gye.15.3.192.197CrossRefPubMed

35.

L.U. Monzillo, O. Hamdy, Evaluation of insulin sensitivity in clinical practice and in research settings. Nutr. Rev. 61, 397–412 (2003). https://doi.org/10.1301/nr.2003.dec.397-412CrossRefPubMed

36.

J.C. Locateli, W.A. Lopes, C.F. Simões et al. Triglyceride/glucose index is a reliable alternative marker for insulin resistance in South American overweight and obese children and adolescents. J. Pediatr. Endocrinol. Metab. 32, 1163–1170 (2019). https://doi.org/10.1515/jpem-2019-0037CrossRefPubMed

37.

E. Dikaiakou, E.A. Vlachopapadopoulou, S.A. Paschou et al. Τriglycerides-glucose (TyG) index is a sensitive marker of insulin resistance in Greek children and adolescents. Endocrine 70, 58–64 (2020). https://doi.org/10.1007/s12020-020-02374-6CrossRefPubMed

38.

H. Van Minh, H.A. Tien, C.T. Sinh et al. Assessment of preferred methods to measure insulin resistance in Asian patients with hypertension. J. Clin. Hypertens. (2021). https://doi.org/10.1111/jch.14155

39.

V. Calcaterra, C. Montalbano, A. de Silvestri et al. Triglyceride Glucose Index as a Surrogate Measure of Insulin Sensitivity in a Caucasian Pediatric Population. J. Clin. Res. Pediatr. Endocrinol. (2019). https://doi.org/10.4274/jcrpe.galenos.2019.2019.0024

Titel: The association between triglyceride-glucose index and the incidence of type 2 diabetes mellitus—a systematic review and dose–response meta-analysis of cohort studies
verfasst von: Raymond Pranata
Ian Huang
Irvan
Michael Anthonius Lim
Rachel Vania
Publikationsdatum: 04.06.2021
Verlag: Springer US
Erschienen in: Endocrine / Ausgabe 2/2021
Print ISSN: 1355-008X
Elektronische ISSN: 1559-0100
DOI: https://doi.org/10.1007/s12020-021-02780-4

Leitlinien kompakt für die Innere Medizin

Mit medbee Pocketcards sicher entscheiden.

^{Seit 2022 gehört die medbee GmbH zum Springer Medizin Verlag}

Kostenlos registrieren

Neu im Fachgebiet Innere Medizin

Echinokokkose medikamentös behandeln oder operieren?

06.05.2024 DCK 2024 Kongressbericht

Die Therapie von Echinokokkosen sollte immer in spezialisierten Zentren erfolgen. Eine symptomlose Echinokokkose kann – egal ob von Hunde- oder Fuchsbandwurm ausgelöst – konservativ erfolgen. Wenn eine Op. nötig ist, kann es sinnvoll sein, vorher Zysten zu leeren und zu desinfizieren.

Umsetzung der POMGAT-Leitlinie läuft

03.05.2024 DCK 2024 Kongressbericht

Seit November 2023 gibt es evidenzbasierte Empfehlungen zum perioperativen Management bei gastrointestinalen Tumoren (POMGAT) auf S3-Niveau. Vieles wird schon entsprechend der Empfehlungen durchgeführt. Wo es im Alltag noch hapert, zeigt eine Umfrage in einem Klinikverbund.

Proximale Humerusfraktur: Auch 100-Jährige operieren?

01.05.2024 DCK 2024 Kongressbericht

Mit dem demographischen Wandel versorgt auch die Chirurgie immer mehr betagte Menschen. Von Entwicklungen wie Fast-Track können auch ältere Menschen profitieren und bei proximaler Humerusfraktur können selbst manche 100-Jährige noch sicher operiert werden.

Die „Zehn Gebote“ des Endokarditis-Managements

30.04.2024 Endokarditis Leitlinie kompakt

Worauf kommt es beim Management von Personen mit infektiöser Endokarditis an? Eine Kardiologin und ein Kardiologe fassen die zehn wichtigsten Punkte der neuen ESC-Leitlinie zusammen.

Update Innere Medizin

Bestellen Sie unseren Fach-Newsletter und bleiben Sie gut informiert.

Newsletter bestellen

Springer Medizin

Abstarct

Aims

Methods

Results

Conclusions

Bitte loggen Sie sich ein, um Zugang zu diesem Inhalt zu erhalten

Weitere Artikel der Ausgabe 2/2021

LRH-1 high expression in the ovarian granulosa cells of PCOS patients

The role of Tg kinetics in predicting 2-[18F]-FDG PET/CT results and overall survival in patients affected by differentiated thyroid carcinoma with detectable Tg and negative 131I-scan

Cytology versus calcitonin assay in fine-needle aspiration biopsy wash-out fluid (FNAB-CT) in diagnosis of medullary thyroid microcarcinoma

Correction to: Tumor volume improves preoperative differentiation of prolactinomas and nonfunctioning pituitary adenomas

Higher SARS-CoV-2 viral loads correlated with smaller thyroid volumes on ultrasound among male COVID-19 survivors