ArticleBMC cardiovascular disorders2024
Triglyceride glucose-body mass index as a novel predictor of slow coronary flow phenomenon in patients with ischemia and nonobstructive coronary arteries (INOCA).
Article in BMC cardiovascular disorders, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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7 citing papers in PubMed, 7 citations in OpenAlex.
- The uric acid to high density lipoprotein cholesterol ratio as a new indicator for predicting coronary slow flow phenomenon.BMC cardiovascular disorders · 2025Article
- Value of high-density lipoprotein cholesterol, myocardial perfusion index, and global longitudinal strain derived from cardiac magnetic resonance imaging in predicting coronary slow flow in patients with nonobstructive coronary artery disease.Quantitative imaging in medicine and surgery · 2025Article
- Comparison of TyG and modified TyG indices in predicting coronary slow flow phenomenon.BMC cardiovascular disorders · 2025Article
- Triglyceride-glucose index is associated with microcirculatory resistance in patients with type 2 diabetes and STEMI undergoing primary PCI.Scientific reports · 2025Observational
- Understanding triglyceride glucose-body mass index: implications for diabetes and cardiovascular disease management.Frontiers in endocrinology · 2025Review
- Emerging Predictors by Non-HDL-C/HDL-C Ratio and Novel Biomarkers for Coronary Slow Flow Phenomenon.Acta Cardiologica Sinica · 2024Review
- Triglyceride Glucose Body Mass Index as 3 Year Prognostic Indicator for Major Adverse Cardiovascular and Cerebrovascular Events in Patients with Acute Myocardial Infarction After PCI: A Prospective Cohort Study.Clinical interventions in aging · 2024Article
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6 authors at 2 institutions in 1 country.
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Abstract
backgroundThe triglyceride glucose-body mass index (TyG-BMI index) has been suggested as a novel predictor of insulin resistance. However, its predictive value for slow coronary flow phenomenon (SCFP) in patients with ischemia and nonobstructive coronary arteries (INOCA) remains unclear.
methodsWe consecutively recruited 1625 patients with INOCA from February 2019 to February 2023 and divided them into two groups based on thrombolysis in myocardial infarction (TIMI) frame counts (TFCs): the SCFP group (n = 79) and the control group. A 1:2 age-matched case-control study was then performed. The TyG-BMI index was calculated as ln [plasma triglyceride (mg/dL) × fasting blood glucose (mg/dL)/2] × BMI.
resultsTyG-BMI index in the SCFP group (218.3 ± 25.2 vs 201.0 ± 26.5, P < .001) was significantly higher than in the normal controls. TyG-BMI index also increased with the number of coronary arteries involved in the SCFP. Multivariate logistic regression analysis showed that TyG-BMI, BMI, and TG were independent predictors for SCFP. Receiver operating characteristic (ROC) curve analysis showed that when the TyG-BMI index was above 206.7, the sensitivity and specificity were 88.6% and 68.5%, respectively, with an AUC of 0.809 (95% CI: 0.756-0.863, P = .027). Combined BMI with TG, the TyG-BMI index had a better predictive value for SCFP than BMI and TG (P < .001).
conclusionThe TyG-BMI index was an independent predictor for SCFP in INOCA patients, and it had a better predictive value than BMI and TG.
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