Osés Recalde, MaddiMedrano Echeverría, MaríaGalbete Jiménez, ArkaitzArenaza Etxeberría, LideRuiz, Jonatan R.Sánchez-Valverde, FélixOrtega, Francisco B.Labayen Goñi, Idoia2021-09-062021-12-172021Oses, M, Medrano, M, Galbete, A, et al. A sociodemographic, anthropometric and lifestyle-based prediction score for screening children with overweight and obesity for hepatic steatosis: The HEPAKID index. Pediatric Obesity. 2021; 16:e12770. https://doi.org/10.1111/ijpo.127702047-630210.1111/ijpo.12770https://academica-e.unavarra.es/handle/2454/40421Background: 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. Objective: 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. Methods: 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. Results: 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. Conclusions: 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.34 p.application/pdfeng© 2021 World Obesity FederationHepatic steatosisLifestyle behaviorsPaediatric obesityPrimary careScreening toolinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/openAccess