As a multisystem disease, metabolic dysfunction-associated fatty liver disease (MAFLD) is closely linked to the onset and progression of coronary heart disease (CHD). Ultrasonographic fatty liver indicator (US-FLI) is a semi-quantitative tool for evaluating the degree of hepatic steatosis. Our study aims to explore the relationship between US-FLI based on MAFLD and the severity of CHD.
204 patients who had invasive coronary angiography performed between July 2022 and December 2023 at the cardiology department of the Second Affiliated Hospital of Chongqing Medical University were included in this study. Collect clinical information and abdominal ultrasound images from each patient. Hepatic steatosis which quantified by US-FLI was evaluated by the echo contrast between liver and kidney, posterior attenuation of ultrasound beam, areas of focal sparing, display of hepatic vessels, gallbladder wall and diaphragm. Fatty liver was diagnosed when US-FLI≥2. The severity of CHD was evaluated using the SYNTAX score (SS), and a total of 100 CHD patients were ultimately diagnosed. CHD patients were further divided into the low-risk group (SS ≤ 22) (54 cases) and the medium-high-risk group (SS≥23) (46 cases). Multivariate logistic regression model was used to assess the relationship between US-FLI and SS in patients with MAFLD. The receiver operating characteristic curve was used to determine the accuracy, sensitivity and specificity of US-FLI in predicting SS.
Study Type
OBSERVATIONAL
Enrollment
190
Observational study without human intervention
The Second Affiliated Hospital of Chongqing Medical University
Chongqing, Chongqing Municipality, China
RECRUITINGSYNTAX score
The complexity of coronary artery disease (CAD) is a predictor of cardiovascular events in patients with \>50 % diameter stenosis as determined by SYNTAX score. The range of US-FLI is 0-8. Fatty liver was diagnosed when US-FLI ≥ 2.
Time frame: at baseline
This platform is for informational purposes only and does not constitute medical advice. Always consult a qualified healthcare professional.