Triglyceride glucose-body mass index as a novel predictor of slow coronary flow phenomenon in patients with ischemia and nonobstructive coronary arteries (INOCA)

• DOI: 10.1186/s12872-024-03722-4
• Publication Date: 2024-01-19T07:03:02Z
• Authors: Zhi-peng Li; Juan Chen; Qi Xin; Xiao-yang Pei; Hong-li Wu; Zhi-xu Tan
• Keywords: TIMI; Coronary arteries

Abstract Background The 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 arteries (INOCA) remains unclear. Methods We consecutively recruited 1625 INOCA from February 2019 to 2023 divided them into two groups based on thrombolysis myocardial infarction (TIMI) frame counts (TFCs): the SCFP group ( n = 79) control group. A 1:2 age-matched case–control study was then performed. TyG-BMI calculated ln [plasma (mg/dL) × fasting blood glucose (mg/dL)/2] BMI. Results (218.3 ± 25.2 vs 201.0 26.5, P < .001) significantly higher than normal controls. also increased number involved SCFP. Multivariate logistic regression analysis showed that TyG-BMI, BMI, TG were independent predictors Receiver operating characteristic (ROC) curve when above 206.7, sensitivity specificity 88.6% 68.5%, respectively, an AUC 0.809 (95% CI: 0.756–0.863, .027). Combined BMI TG, had better .001). Conclusion patients, it TG.