A sociodemographic, anthropometric and lifestyle-based prediction score for screening children with overweight and obesity for hepatic steatosis: The HEPAKID index.

Abstract

Hepatic steatosis (HS) is currently the most prevalent hepatic disease in paediatric population and a major risk factor for type 2 diabetes and cardiovascular diseases. The proper identification of children with HS is therefore of great public health interest. To develop a new prediction score using anthropometric, sociodemographic and lifestyle factors to identify children with HS (the HEPAKID index). Previously published biochemical paediatric screening tools were validated in the same cohort. A total of 115 pre-adolescent children aged 8 to 12 years with overweight/obesity, recruited at hospital paediatric units were enrolled in this cross-sectional study. HS (≥5.5% hepatic fat) was assessed by magnetic resonance imaging (MRI). Anthropometric, sociodemographic and lifestyle variables were collected by validated tests/questionnaires. Forty-one children had MRI-diagnosed HS (35.6%, 49% girls). These children had (P < .01) a higher waist-height ratio, a lower cardiorespiratory fitness, a younger gestational age, and consumed more sugar-sweetened beverages than their HS-free peers. Children with HS were more likely to belong to an ethnic minority (P < .01) and to spend longer viewing screens than recommended (P < .05). The addition of these variables to the multivariate logistic regression model afforded a HEPAKID index with high discriminatory capacity (area under the receiver-operating characteristic curve: 0.808, 95% CI 0.715-0.901), and score of ≥25.0 was associated with high sensitivity (82%, 95% CI 68%-96%). Biochemical biomarker-based paediatric tools for identifying HS showed only moderate discriminatory capacity and low sensitivity (5%-41%) in this cohort. The HEPAKID index is the first simple, non-invasive, sensitive, inexpensive and easy-to-perform screening that can identify children with overweight or obesity who have HS.