Τhe Anthropometric and Biochemical Profile of Pediatric Non-alcoholic Fatty Liver Disease: A Systematic Review and a Meta-analysis

Background & Aims: Non-alcoholic fatty liver disease (NAFLD) is the most common liver disease in children and one of the leading indications for liver transplantation in adults. However, current screening methods are inadequate and are accompanied by several disadvantages. This meta-analysis aims to identify the anthropometrical and biochemical characteristics most commonly appearing in pediatric NAFLD that could contribute to the diagnosis of the disease in the every-day clinical setting.

Methods: A systematic search was conducted in major electronic databases (MEDLINE, Scopus and Embase) up to 15th of August 2021. Primary outcome was the comparison of the anthropometric characteristics, whereas secondary outcomes were the comparisons of biochemical profile, lipid profile, and metabolic parameters in children with NAFLD compared with age-matched healthy controls. Quality assessment was performed with Newcastle-Ottawa Scale (NOS) and results were expressed as mean differences with 95% confidence intervals.

Results: Sixty-four studies were included. Two different comparisons were designed regarding the body mass status. Statistically significant differences were demonstrated by comparing children with NAFLD vs lean/normal weighted controls in body weight (23.0 kg, 95% CI: 14.0-31.8, P < 0.00001), height (3.07 cm, 95% CI: 0.21-5.94, P = 0.04), ΒΜΙ (10 kg/m, 95% CI: 8.36-11.7, P < 0.00001) and waist circumference 25.8 cm (95% CI: 20.6-30.9, P < 0.00001) and by comparing children with NAFLD vs overweight/obese controls in weight (6.81 kg, 95% CI: 3.81-9.81), height (3.18 cm, 95% CI: 1.24 to 5.13, P = 0.001), BMI (2.19 kg/m, 95% CI: 1.76-2.62, P < 0.00001) and WC (7.35 cm, 95% CI: 6.20-8.49, P < 0.00001).

Conclusions: Anthropometrical and biochemical characteristics of children and adolescents with NAFLD are statistically significantly different compared to age-matched controls; these characteristics could be used to identify individuals at risk of developing NAFLD and related comorbidities.