{"id":63350,"date":"2025-10-09T10:21:06","date_gmt":"2025-10-09T10:21:06","guid":{"rendered":"https:\/\/www.newsbeep.com\/il\/63350\/"},"modified":"2025-10-09T10:21:06","modified_gmt":"2025-10-09T10:21:06","slug":"association-of-triglyceride-glucose-index-and-its-related-parameters-with-the-risk-of-stroke-a-meta-analysis-bmc-neurology","status":"publish","type":"post","link":"https:\/\/www.newsbeep.com\/il\/63350\/","title":{"rendered":"Association of triglyceride-glucose index and its related parameters with the risk of stroke: a meta-analysis | BMC Neurology"},"content":{"rendered":"<p>The systematic review and meta-analysis including 21 studies indicated the participants in the highest TyG, TyG-BMI, TyG-WC and TyG-WHtR quartile have an increased risk of stroke compared to the patients with the lowest index category. Subgroup analysis showed that the association between TyG and its related parameters and the subsequent incidence of stroke was not significantly affected by the gender, region, sample size, or duration of follow-up.<\/p>\n<p>Previous studies have reported there was a positive association between the TyG index and stroke [<a data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 24\" title=\"Yan F, Yan S, Wang J, Cui Y, Chen F, Fang F, et al. Association between triglyceride glucose index and risk of cerebrovascular disease: systematic review and meta-analysis. Cardiovasc Diabetol. 2022;21:226. &#010;                  https:\/\/doi.org\/10.1186\/s12933-022-01664-9&#010;                  &#010;                .\" href=\"http:\/\/bmcneurol.biomedcentral.com\/articles\/10.1186\/s12883-025-04349-4#ref-CR24\" id=\"ref-link-section-d291708058e4774\" rel=\"nofollow noopener\" target=\"_blank\">24<\/a>]. Compared to previous research, our study has several advantages. Firstly, this study is the first meta-analysis to summarize the association between the TyG-BMI, TyG-WC and TyG-WHtR index and the risk of stroke. Secondly, we included more recent studies by an updated search, which enhanced the precision of the estimated effect size. Thirdly, only cohort studies were included and HR was calculated instead of relative risk (RR), which the potential recall bias associated with cross-sectional studies was avoided and considered the time-dependent effect.<\/p>\n<p>Our study found that individuals in the highest TyG quartile were at an increased risk of stroke. A previous study has suggested that the TyG index is considered as an efficient biomarker of IR [<a data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 28\" title=\"Guerrero-Romero F, Simental-Mendia LE, Gonzalez-Ortiz M, Martinez-Abundis E, Ramos-Zavala MG, Hernandez-Gonzalez SO, et al. The product of triglycerides and glucose, a simple measure of insulin sensitivity. Comparison with the euglycemic-hyperinsulinemic clamp. J Clin Endocrinol Metab. 2010;95:3347\u201351. &#010;                  https:\/\/doi.org\/10.1210\/jc.2010-0288&#010;                  &#010;                .\" href=\"http:\/\/bmcneurol.biomedcentral.com\/articles\/10.1186\/s12883-025-04349-4#ref-CR28\" id=\"ref-link-section-d291708058e4780\" rel=\"nofollow noopener\" target=\"_blank\">28<\/a>]. IR could play a key role in stroke pathogenesis through several potential mechanisms. When insulin resistance occurs, high insulin levels can activate mitogen-activated protein kinase (MAPK), which causes vasoconstriction, proliferation of vascular smooth muscle cells, thickening of the vessel wall, and narrowing of the vessel lumen\u2014thereby increasing blood pressure, impairing organ perfusion, and elevating CVD risk [<a data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 9\" title=\"Bornfeldt KE, Tabas I. Insulin resistance, hyperglycemia, and atherosclerosis. Cell Metab. 2011;14:575\u201385. &#010;                  https:\/\/doi.org\/10.1016\/j.cmet.2011.07.015&#010;                  &#010;                .\" href=\"http:\/\/bmcneurol.biomedcentral.com\/articles\/10.1186\/s12883-025-04349-4#ref-CR9\" id=\"ref-link-section-d291708058e4783\" rel=\"nofollow noopener\" target=\"_blank\">9<\/a>, <a data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 10\" title=\"Taniguchi CM, Emanuelli B, Kahn CR. Critical nodes in signalling pathways: insights into insulin action. Nat Rev Mol Cell Biol. 2006;7:85\u201396. &#010;                  https:\/\/doi.org\/10.1038\/nrm1837&#010;                  &#010;                .\" href=\"http:\/\/bmcneurol.biomedcentral.com\/articles\/10.1186\/s12883-025-04349-4#ref-CR10\" id=\"ref-link-section-d291708058e4786\" rel=\"nofollow noopener\" target=\"_blank\">10<\/a>]. IR can promote the activation of the inflammatory response with the release of inflammatory mediators and this can interfere with insulin receptor function and signaling, as well as damage vascular endothelial cells [<a data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 10\" title=\"Taniguchi CM, Emanuelli B, Kahn CR. Critical nodes in signalling pathways: insights into insulin action. Nat Rev Mol Cell Biol. 2006;7:85\u201396. &#010;                  https:\/\/doi.org\/10.1038\/nrm1837&#010;                  &#010;                .\" href=\"http:\/\/bmcneurol.biomedcentral.com\/articles\/10.1186\/s12883-025-04349-4#ref-CR10\" id=\"ref-link-section-d291708058e4789\" rel=\"nofollow noopener\" target=\"_blank\">10<\/a>]. Additionally, IR can lead to an imbalance of oxidation and antioxidants in the body, resulting in excessive free radical production, which damages vascular endothelial cells and inhibits insulin signalling, thereby increasing the risk of stroke [<a data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 29\" title=\"Onyango AN, Cabello-Verrugio C. Cellular stresses and stress responses in the pathogenesis of insulin resistance. Oxid Med Cell Longev. 2018;2018:1\u201327. &#010;                  https:\/\/doi.org\/10.1155\/2018\/4321714&#010;                  &#010;                .\" href=\"http:\/\/bmcneurol.biomedcentral.com\/articles\/10.1186\/s12883-025-04349-4#ref-CR29\" id=\"ref-link-section-d291708058e4792\" rel=\"nofollow noopener\" target=\"_blank\">29<\/a>]. IR also leads to disturbances in glucose and lipid metabolism, and this causes lipids to deposit in the inner walls of blood vessels, leading to the formation of atherosclerotic plaques [<a data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 11\" title=\"Scherer T, Lindtner C, O\u2019Hare J, Hackl M, Zielinski E, Freudenthaler A, et al. Insulin regulates hepatic triglyceride secretion and lipid content via signaling in the brain. Diabetes. 2016;65:1511\u201320. &#010;                  https:\/\/doi.org\/10.2337\/db15-1552&#010;                  &#010;                .\" href=\"http:\/\/bmcneurol.biomedcentral.com\/articles\/10.1186\/s12883-025-04349-4#ref-CR11\" id=\"ref-link-section-d291708058e4796\" rel=\"nofollow noopener\" target=\"_blank\">11<\/a>, <a data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 30\" title=\"Lambie M, Bonomini M, Davies SJ, Accili D, Arduini A, Zammit V. Insulin resistance in cardiovascular disease, uremia, and peritoneal dialysis. Trends Endocrinol Metab. 2021;32:721\u201330. &#010;                  https:\/\/doi.org\/10.1016\/j.tem.2021.06.001&#010;                  &#010;                .\" href=\"http:\/\/bmcneurol.biomedcentral.com\/articles\/10.1186\/s12883-025-04349-4#ref-CR30\" id=\"ref-link-section-d291708058e4799\" rel=\"nofollow noopener\" target=\"_blank\">30<\/a>]. Furthermore, IR increases endoplasmic reticulum stress in macrophages within plaques, leading to cell apoptosis. The uncleared apoptotic macrophages then undergo secondary necrosis, which accumulates to form a necrotic core. This process may contribute to plaque rupture and thrombosis in later stages [<a data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 31\" title=\"Tabas I, Tall A, Accili D. The impact of macrophage insulin resistance on advanced atherosclerotic plaque progression. Circ Res. 2010;106:58\u201367. &#010;                  https:\/\/doi.org\/10.1161\/CIRCRESAHA.109.208488&#010;                  &#010;                .\" href=\"http:\/\/bmcneurol.biomedcentral.com\/articles\/10.1186\/s12883-025-04349-4#ref-CR31\" id=\"ref-link-section-d291708058e4802\" rel=\"nofollow noopener\" target=\"_blank\">31<\/a>]. In addition, IR is associated with hyperfibrinogenemia and enhanced platelet aggregation [<a data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 13\" title=\"Trovati M, Anfossi G. Insulin, insulin resistance and platelet function: similarities with insulin effects on cultured vascular smooth muscle cells. Diabetologia. 1998;41:609\u201322. &#010;                  https:\/\/doi.org\/10.1007\/s001250050958&#010;                  &#010;                .\" href=\"http:\/\/bmcneurol.biomedcentral.com\/articles\/10.1186\/s12883-025-04349-4#ref-CR13\" id=\"ref-link-section-d291708058e4805\" rel=\"nofollow noopener\" target=\"_blank\">13<\/a>, <a data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 32\" title=\"Imperatore G, Riccardi G, Iovine C, Rivellese AA, Vaccaro O. Plasma fibrinogen: a new factor of the metabolic syndrome. A population-based study. Diabetes Care. 1998;21:649\u201354. &#010;                  https:\/\/doi.org\/10.2337\/diacare.21.4.649&#010;                  &#010;                .\" href=\"http:\/\/bmcneurol.biomedcentral.com\/articles\/10.1186\/s12883-025-04349-4#ref-CR32\" id=\"ref-link-section-d291708058e4808\" rel=\"nofollow noopener\" target=\"_blank\">32<\/a>]. These pathways might lead to stroke by atherosclerosis and vascular occlusion.<\/p>\n<p>Our study also found that the highest TyG-BMI, TyG-WC and TyG-WHtR quartile had a higher risk of stroke. TyG combined with obesity indices including BMI, WC and WHtR, which captured multiple clinical variables, demonstrated a stronger association with IR than the individual indices [<a data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 22\" title=\"Lim J, Kim J, Koo SH, Kwon GC. Comparison of triglyceride glucose index, and related parameters to predict insulin resistance in Korean adults: an analysis of the 2007\u20132010 Korean National health and nutrition examination survey. PLoS One. 2019;14: e212963. &#010;                  https:\/\/doi.org\/10.1371\/journal.pone.0212963&#010;                  &#010;                .\" href=\"http:\/\/bmcneurol.biomedcentral.com\/articles\/10.1186\/s12883-025-04349-4#ref-CR22\" id=\"ref-link-section-d291708058e4814\" rel=\"nofollow noopener\" target=\"_blank\">22<\/a>, <a data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 33\" title=\"Er LK, Wu S, Chou HH, Hsu LA, Teng MS, Sun YC, et al. Triglyceride glucose-body mass index is a simple and clinically useful surrogate marker for insulin resistance in nondiabetic individuals. PLoS One. 2016;11: e149731. &#010;                  https:\/\/doi.org\/10.1371\/journal.pone.0149731&#010;                  &#010;                .\" href=\"http:\/\/bmcneurol.biomedcentral.com\/articles\/10.1186\/s12883-025-04349-4#ref-CR33\" id=\"ref-link-section-d291708058e4817\" rel=\"nofollow noopener\" target=\"_blank\">33<\/a>]. Dang et al. found that the TyG-WC and TyG-WHtR enhanced its ability to predict cardiovascular disease mortality [<a data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 34\" title=\"Dang K, Wang X, Hu J, Zhang Y, Cheng L, Qi X, et al. The association between triglyceride-glucose index and its combination with obesity indicators and cardiovascular disease: Nhanes 2003\u20132018. Cardiovasc Diabetol. 2024;23:8. &#010;                  https:\/\/doi.org\/10.1186\/s12933-023-02115-9&#010;                  &#010;                .\" href=\"http:\/\/bmcneurol.biomedcentral.com\/articles\/10.1186\/s12883-025-04349-4#ref-CR34\" id=\"ref-link-section-d291708058e4820\" rel=\"nofollow noopener\" target=\"_blank\">34<\/a>]. The obesity indices including BMI, WC and WHtR were regarded as indicators for assessing visceral adiposity. IR and visceral adiposity dysfunction were related to chronic inflammation, vascular endothelial injury and atherosclerosis. Therefore, the potential mechanism underlying the relationship between TyG-BMI, TyG-WC and TyG-WHtR and stroke incidence may be related to the association of insulin sensitivity and excessive accumulation of visceral adiposity.<\/p>\n<p>It has been suggested that sex hormones may contribute to IR by affecting fat distribution, inflammatory responses, and metabolic pathways [<a data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 35\" title=\"Haffner SM. Sex hormones, obesity, fat distribution, type 2 diabetes and insulin resistance: epidemiological and clinical correlation. Int J Obes (Lond). 2000;24:S56\u20138. &#010;                  https:\/\/doi.org\/10.1038\/sj.ijo.0801279&#010;                  &#010;                .\" href=\"http:\/\/bmcneurol.biomedcentral.com\/articles\/10.1186\/s12883-025-04349-4#ref-CR35\" id=\"ref-link-section-d291708058e4827\" rel=\"nofollow noopener\" target=\"_blank\">35<\/a>]. An analysis based on the I-Lan Longitudinal Aging Study (ILAS) revealed a notable gender difference in the correlation between a high TyG index (\u2265\u20098.55) and subclinical atherosclerosis (SA) in patients without diabetes. After adjusting for traditional risk factors, a high TyG index was found to be an independent predictor of SA in nondiabetic women (OR\u2009=\u20091.51, 95% CI: 1.01\u20132.26), whereas this association was not statistically significant in men [<a data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 36\" title=\"Lu YW, Chang CC, Chou RH, Tsai YL, Liu LK, Chen LK, et al. Gender difference in the association between Tyg index and subclinical atherosclerosis: results from the i-lan longitudinal aging study. Cardiovasc Diabetol. 2021;20:206. &#010;                  https:\/\/doi.org\/10.1186\/s12933-021-01391-7&#010;                  &#010;                .\" href=\"http:\/\/bmcneurol.biomedcentral.com\/articles\/10.1186\/s12883-025-04349-4#ref-CR36\" id=\"ref-link-section-d291708058e4830\" rel=\"nofollow noopener\" target=\"_blank\">36<\/a>]. The present meta-analysis, based on a subgroup analysis of populations in which more than half were of one sex or the other, found that high TyG and TyG-BMI parameters were more predictive of stroke risk in men than in women, whereas high TyG-WC and TyG-WHtR parameters were less predictive. The literature was searched for possible reasons for the gender differences observed, but little relevant literature was found. Further investigation of gender differences in the correlation between TyG and related parameters and stroke is needed in order to utilise them more effectively in clinical practice.<\/p>\n<p>There were several limitations that should be considered in our study. First, of the 21 included studies, 18 were conducted in Asia, and only 3 studies were from Western countries. The studies exploring the association between TyG-BMI, TyG-WC, and TyG-WHtR parameters and stroke were all from Asia. However, there are differences in genetic background, dietary structure, and healthcare resource allocation among populations of different races and regions. These differences may affect the generalizability of the association between the TyG and related parameters and stroke. For instance, genetic polymorphisms may affect stroke susceptibility by regulating lipid metabolism or insulin sensitivity, leading to differences in TyG index among different races and populations. A study based on the United States National Health and Nutrition Examination Survey (NHANES) cohort showed that TyG index was more strongly associated with stroke risk among non-Hispanic whites, possibly related to the distribution of their genetic polymorphisms [<a data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 37\" title=\"Jiang Y, Shen J, Chen P, Cai J, Zhao Y, Liang J, et al. Association of triglyceride glucose index with stroke: from two large cohort studies and Mendelian randomization analysis. Int J Surg. 2024;110:5409\u201316. &#010;                  https:\/\/doi.org\/10.1097\/JS9.0000000000001795&#010;                  &#010;                .\" href=\"http:\/\/bmcneurol.biomedcentral.com\/articles\/10.1186\/s12883-025-04349-4#ref-CR37\" id=\"ref-link-section-d291708058e4836\" rel=\"nofollow noopener\" target=\"_blank\">37<\/a>].Comparative analyses of the Western diet and the Mediterranean diet found that the \u201cWesternized diet\u201d, which is based on animal fats and preserved foods, was significantly positively associated with TG, fasting blood sugar(FBS), and TyG index [<a data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 38\" title=\"Li S, Xia R, Gong X, Wang C, Liu H, Dong H, et al. Mediating effect of TYG index on the association between glucose-lipid metabolism-related dietary pattern and T2DM: a propensity score-matched analysis. BMC Endocr Disord. 2025. &#010;                  https:\/\/doi.org\/10.1186\/s12902-025-01892-6&#010;                  &#010;                .\" href=\"http:\/\/bmcneurol.biomedcentral.com\/articles\/10.1186\/s12883-025-04349-4#ref-CR38\" id=\"ref-link-section-d291708058e4839\" rel=\"nofollow noopener\" target=\"_blank\">38<\/a>], whereas the Mediterranean diet reduces the progression rate of carotid intima-media thickness and reduces the risk of cardiovascular events, and its cardiovascular protective effects may improve insulin sensitivity through high intake of monounsaturated fatty acids and dietary fiber, which in turn reduces the TyG index [<a data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 39\" title=\"Longo M, Scappaticcio L, Caputo M, Maiorino MI, Esposito K. Mediterranean diet in type 2 diabetes: an updated overview of pharmacological activities of cardiometabolic and reproductive outcomes. Curr Opin Pharmacol. 2021;60:27\u201333. &#010;                  https:\/\/doi.org\/10.1016\/j.coph.2021.06.005&#010;                  &#010;                .\" href=\"http:\/\/bmcneurol.biomedcentral.com\/articles\/10.1186\/s12883-025-04349-4#ref-CR39\" id=\"ref-link-section-d291708058e4842\" rel=\"nofollow noopener\" target=\"_blank\">39<\/a>]. In addition, areas with insufficient medical resources may not be able to screen and manage risk factors such as hypertension, hyperlipidemia, and diabetes mellitus in a timely manner, and the accessibility of related medications is also low, which leads to poor control of the TyG index and increased risk of stroke. Second, there was some heterogeneity among studies, which may be related to differences in study design, measurement methods, and stroke definitions: (1) Differences in the characteristics of the populations included in the studies (e.g. different geographic regions, age ranges, and genders) may have affected the results of the studies. (2) Smaller sample sizes or shorter follow-up times may lead to biased results or fail to accurately reflect the real situation. In this meta-analysis, although several studies were included, the sample size and follow-up time varied between studies, which is an important reason for the heterogeneity of the results. (3) The confounders adjusted for by the included studies were not all consistent, and residual confounders such as participants\u2019 comorbidities, concomitant medications, and diet may have influenced the results despite the inclusion of studies analyzed multivariately. For example, the use of medications such as statins, antihypertensives, and hypoglycemic agents, which are commonly used to control cardiovascular risk factors, has the potential to alter stroke risk independently of TyG and its associated parameters. A systematic review and meta-analysis demonstrated that pre-stroke use of metformin was significantly associated with reduced mortality and improved functional outcomes [<a data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 40\" title=\"Pakkam M, Orscelik A, Musmar B, Tolba H, Ghozy S, Senol YC, et al. The impact of pre-stroke metformin use on clinical outcomes after acute ischemic stroke: a systematic review and meta-analysis. J Stroke Cerebrovasc Dis. 2024;33: 107716. &#010;                  https:\/\/doi.org\/10.1016\/j.jstrokecerebrovasdis.2024.107716&#010;                  &#010;                .\" href=\"http:\/\/bmcneurol.biomedcentral.com\/articles\/10.1186\/s12883-025-04349-4#ref-CR40\" id=\"ref-link-section-d291708058e4845\" rel=\"nofollow noopener\" target=\"_blank\">40<\/a>]. This suggests that the TyG index may serve as a biomarker for identifying patients at high risk who may benefit from drugs that improve metabolic control, such as metformin. Therefore, the interaction of TyG index with antidiabetic drugs and the potential application of TyG index in guiding individualized treatment strategies should be further explored in future studies. By screening for the TyG index, physicians can identify high-risk patients more accurately and treat them with more aggressive metabolic control and therapy, thereby reducing the risk of stroke and improving prognosis. Additionally, chronic inflammation, which is closely associated with IR and atherosclerosis, may also be a confounding factor [<a data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 41\" title=\"Parikh NS, Merkler AE, Iadecola C. Inflammation, autoimmunity, infection, and stroke: epidemiology and lessons from therapeutic intervention. Stroke. 2020;51:711\u20138. &#010;                  https:\/\/doi.org\/10.1161\/STROKEAHA.119.024157&#010;                  &#010;                .\" href=\"http:\/\/bmcneurol.biomedcentral.com\/articles\/10.1186\/s12883-025-04349-4#ref-CR41\" id=\"ref-link-section-d291708058e4848\" rel=\"nofollow noopener\" target=\"_blank\">41<\/a>]. (4)While the formula for calculating the TyG index remains consistent across studies, differences in triglyceride and fasting glucose testing methods, reagents and instruments may affect its accuracy. (5) There are differences in the definition of stroke in different studies. For example, the study by Xia et al. (2024) exclusively included ischemic stroke patients, whereas other studies encompassed both hemorrhagic stroke or all stroke subtypes. Third, the TyG and its associated parameters are simple, inexpensive, suitable for mass screening, and associated with metabolic disease risk, with the potential to be integrated into risk assessment tools to improve stroke prediction. However, the optimal threshold values of TyG and its related parameters for predicting stroke risk are unknown. A dose-response analysis of 19 cohort studies by Yan et al. demonstrated that an increase of 1\u00a0mg\/dl in the TyG index was associated with a 1.19-fold increase in the risk of cerebrovascular disease, thereby highlighting its clinical value as a continuous risk indicator [<a data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 42\" title=\"Yan F, Yan S, Wang J, Cui Y, Chen F, Fang F, et al. Association between triglyceride glucose index and risk of cerebrovascular disease: systematic review and meta-analysis. Cardiovasc Diabetol. 2022. &#010;                  https:\/\/doi.org\/10.1186\/s12933-022-01664-9&#010;                  &#010;                .\" href=\"http:\/\/bmcneurol.biomedcentral.com\/articles\/10.1186\/s12883-025-04349-4#ref-CR42\" id=\"ref-link-section-d291708058e4852\" rel=\"nofollow noopener\" target=\"_blank\">42<\/a>]. A study of the Chinese population suggested that a TyG index\u2009&gt;\u20098.81 in men and &gt;\u20098.73 in women may indicate insulin resistance [<a data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 43\" title=\"Yu X, Wang L, Zhang W, Ming J, Jia A, Xu S, et al. Fasting triglycerides and glucose index is more suitable for the identification of metabolically unhealthy individuals in the Chinese adult population: a nationwide study. J Diabetes Investig. 2019;10:1050\u20138. &#010;                  https:\/\/doi.org\/10.1111\/jdi.12975&#010;                  &#010;                .\" href=\"http:\/\/bmcneurol.biomedcentral.com\/articles\/10.1186\/s12883-025-04349-4#ref-CR43\" id=\"ref-link-section-d291708058e4855\" rel=\"nofollow noopener\" target=\"_blank\">43<\/a>]. A study based on the China Health and Retirement Longitudinal Study (CHART) suggested that the critical value of the risk of all-cause mortality for TyG was 9.75, and a special analysis of patients with hypertension lowered the threshold of all-cause mortality to 9.45, reflecting that comorbidity has a moderating effect on the assessment of risk [<a data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 44\" title=\"He G, Zhang Z, Wang C, Wang W, Bai X, He L, et al. Association of the triglyceride-glucose index with all-cause and cause-specific mortality: a population-based cohort study of 3.5 million adults in China. Lancet Reg Health West Pac. 2024;49:101135. &#010;                  https:\/\/doi.org\/10.1016\/j.lanwpc.2024.101135&#010;                  &#010;                .\" href=\"http:\/\/bmcneurol.biomedcentral.com\/articles\/10.1186\/s12883-025-04349-4#ref-CR44\" id=\"ref-link-section-d291708058e4858\" rel=\"nofollow noopener\" target=\"_blank\">44<\/a>]. The NHANES cohort demonstrated a TyG threshold of 9.52 for cardiovascular mortality risk in hypertensive patients [<a data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 45\" title=\"Zhou D, Liu XC, Kenneth L, Huang YQ, Feng YQ. A non-linear association of triglyceride glycemic index with cardiovascular and all-cause mortality among patients with hypertension. Front Cardiovasc Med. 2021;8:778038. &#010;                  https:\/\/doi.org\/10.3389\/fcvm.2021.778038&#010;                  &#010;                .\" href=\"http:\/\/bmcneurol.biomedcentral.com\/articles\/10.1186\/s12883-025-04349-4#ref-CR45\" id=\"ref-link-section-d291708058e4861\" rel=\"nofollow noopener\" target=\"_blank\">45<\/a>]. However, the TyG-BMI threshold increased to 269 in critically ill patients with respiratory failure [<a data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 46\" title=\"Sun C, Niu X, Zeng L. The association between triglyceride glucose-body mass index and mortality in critically ill patients with respiratory failure: insights from ICU data. Sci Rep. 2025. &#010;                  https:\/\/doi.org\/10.1038\/s41598-025-00254-5&#010;                  &#010;                .\" href=\"http:\/\/bmcneurol.biomedcentral.com\/articles\/10.1186\/s12883-025-04349-4#ref-CR46\" id=\"ref-link-section-d291708058e4864\" rel=\"nofollow noopener\" target=\"_blank\">46<\/a>], indicating a substantial modifying effect of disease severity on metabolic indicators. Consequently, future studies should investigate the potential impact of confounding factors such as race and region, medications, and inflammation, and ascertain the optimal critical value to enhance their predictive efficacy for stroke.<\/p>\n","protected":false},"excerpt":{"rendered":"The systematic review and meta-analysis including 21 studies indicated the participants in the highest TyG, TyG-BMI, TyG-WC and&hellip;\n","protected":false},"author":2,"featured_media":63351,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[10],"tags":[163,85,9716,46,33158,29528,168,8262,1690,27764],"class_list":{"0":"post-63350","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-health","8":"tag-health","9":"tag-il","10":"tag-insulin-resistance","11":"tag-israel","12":"tag-meta-analysis","13":"tag-neurochemistry","14":"tag-neurology","15":"tag-neurosurgery","16":"tag-stroke","17":"tag-triglyceride-glucose-index"},"_links":{"self":[{"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/posts\/63350","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/comments?post=63350"}],"version-history":[{"count":0,"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/posts\/63350\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/media\/63351"}],"wp:attachment":[{"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/media?parent=63350"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/categories?post=63350"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/tags?post=63350"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}