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

Authors :
Zhi-peng Li
Juan Chen
Qi Xin
Xiao-yang Pei
Hong-li Wu
Zhi-xu Tan
Source :
BMC Cardiovascular Disorders, Vol 24, Iss 1, Pp 1-8 (2024)
Publication Year :
2024
Publisher :
BMC, 2024.

Abstract

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 coronary arteries (INOCA) remains unclear. Methods We 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. Results TyG-BMI index in the SCFP group (218.3 ± 25.2 vs 201.0 ± 26.5, P

Details

Language :
English
ISSN :
14712261
Volume :
24
Issue :
1
Database :
Directory of Open Access Journals
Journal :
BMC Cardiovascular Disorders
Publication Type :
Academic Journal
Accession number :
edsdoj.767d2c43781f4f49a9af344726a9565c
Document Type :
article
Full Text :
https://doi.org/10.1186/s12872-024-03722-4