Validation of the Fatty Liver Index for identifying non‐alcoholic fatty liver disease in a Kenyan population

Author:

Lajeunesse‐Trempe Fannie12,Boit Michael K.3,Kaduka Lydia U.4,De Lucia‐Rolfe Emanuella5,Baass Alexis67,Paquette Martine6,Piché Marie‐Eve2,Tchernof André12,Christensen Dirk L.8

Affiliation:

1. School of Nutrition Laval University Quebec City Quebec Canada

2. Quebec Heart and Lung Institute Laval University Quebec City Quebec Canada

3. Department of Physical, Exercise and Sport Science Kenyatta University Nairobi Kenya

4. Centre for Public Health Research KEMRI Nairobi Kenya

5. NIHR Cambridge Biomedical Research Centre‐Diet, Anthropometry and Physical Activity Group, MRC Epidemiology Unit, Institute of Metabolic Science University of Cambridge Cambridge UK

6. Lipids, Nutrition and Cardiovascular Prevention Clinic of the Montreal Clinical Research Institute Montreal Quebec Canada

7. Department of Medicine, Divisions of Experimental Medicine and Medical Biochemistry McGill University Montreal Quebec Canada

8. Department of Public Health, Global Health Section University of Copenhagen Copenhagen Denmark

Abstract

AbstractBackground and AimFatty Liver Index (FLI) is a simple clinical scoring system estimating non‐alcoholic fatty liver disease (NAFLD). It is validated in European‐descent and Asian populations, but not in sub‐Saharan Africans. The aim of this study is to evaluate the validity of the FLI for predicting NAFLD in a population from Kenya.MethodsParticipants were recruited from a community‐based study conducted in Kenya. NAFLD was diagnosed using hepatic ultrasonography. Clinical, anthropometrical, biochemical and lifestyle data were obtained. The accuracy and cut‐off point of the FLI to detect NAFLD were evaluated by area under the receiver operator characteristic curve and the maximum Youden index analysis.ResultsA total of 640 participants (94 with NAFLD) were included. Mean age was 37.4 ± 0.4 years and 58.7% were women. Mean body mass index (BMI) was 22.3 ± 0.2 kg/m2 and waist circumference (WC) 79.1 ± 0.4 cm. A total of 15 (2.3%) participants were diagnosed with type 2 diabetes and 65 (10.2%) with obesity (BMI ≥ 30 kg/m2). AUROC of FLI for predicting NAFLD was 0.80 (95% CI 0.74–0.85), which was significantly higher compared to individual components gamma‐glutamyl transferase and triglycerides (p < 0.05), but not compared to anthropometric parameters BMI (AUROC of 0.83, 95% CI 0.79–0.88) and WC (AUROC of 0.81, 95% CI 0.76–0.87).ConclusionsFLI is a simple valid scoring system to use in rural and urban Kenyan adults. However, this index might not be superior to BMI or WC to predict NAFLD, and those measurements might therefore be more appropriate in limited settings.

Funder

NIHR Cambridge Biomedical Research Centre

Danish International Development Agency

Steno Diabetes Center Copenhagen

Publisher

Wiley

Subject

Infectious Diseases,Public Health, Environmental and Occupational Health,Parasitology

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