701. External validation of the fatty liver index and lipid accumulation product indices, using H-1-magnetic resonance spectroscopy, to identify hepatic steatosis in healthy controls and obese, insulin-resistant individuals
- Author
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Helen Jones, E. Louise Thomas, Daniel J. Cuthbertson, A. Margot Umpleby, Daniel Lythgoe, Jimmy D. Bell, Andreas Pfeiffer, Graham J. Kemp, Victoria S. Sprung, Fariba Shoajee-Moradie, Rebecca Dobson, and Martin O. Weickert
- Subjects
Adult ,Male ,Pathology ,medicine.medical_specialty ,Magnetic Resonance Spectroscopy ,Endocrinology, Diabetes and Metabolism ,Gastroenterology ,RC1200 ,Endocrinology ,Insulin resistance ,Non-alcoholic Fatty Liver Disease ,Internal medicine ,medicine ,Health Status Indicators ,Humans ,Obesity ,Adiposity ,Receiver operating characteristic ,business.industry ,Fatty liver ,fungi ,Case-control study ,Type 2 Diabetes Mellitus ,General Medicine ,Middle Aged ,Lipid Metabolism ,medicine.disease ,Liver ,Case-Control Studies ,Cohort ,Female ,Insulin Resistance ,Steatosis ,business ,Lipid Accumulation Product - Abstract
Background and aimsSimple clinical algorithms including the fatty liver index (FLI) and lipid accumulation product (LAP) have been developed as surrogate markers for non-alcoholic fatty liver disease (NAFLD), constructed using (semi-quantitative) ultrasonography. This study aimed to validate FLI and LAP as measures of hepatic steatosis, as determined quantitatively by proton magnetic resonance spectroscopy (1H-MRS).MethodsData were collected from 168 patients with NAFLD and 168 controls who had undergone clinical, biochemical and anthropometric assessment. Values of FLI and LAP were determined and assessed both as predictors of the presence of hepatic steatosis (liver fat >5.5%) and of actual liver fat content, as measured by 1H-MRS. The discriminative ability of FLI and LAP was estimated using the area under the receiver operator characteristic curve (AUROC). As FLI can also be interpreted as a predictive probability of hepatic steatosis, we assessed how well calibrated it was in our cohort. Linear regression with prediction intervals was used to assess the ability of FLI and LAP to predict liver fat content. Further validation was provided in 54 patients with type 2 diabetes mellitus.ResultsFLI, LAP and alanine transferase discriminated between patients with and without steatosis with an AUROC of 0.79 (IQR=0.74, 0.84), 0.78 (IQR=0.72, 0.83) and 0.83 (IQR=0.79, 0.88) respectively although could not quantitatively predict liver fat. Additionally, the algorithms accurately matched the observed percentages of patients with hepatic steatosis in our cohort.ConclusionsFLI and LAP may be used to identify patients with hepatic steatosis clinically or for research purposes but could not predict liver fat content.