biostudies-literatureJohansen MJInnovationsfondene12947https://www.ebi.ac.uk/biostudies/studies/S-EPMC9541567biostudies-literatureUnknown17(10)<h4>Background</h4>Diagnosis of nonalcoholic fatty liver disease in children and adolescents currently requires advanced or invasive technologies.<h4>Objectives</h4>We aimed to develop a method to improve diagnosis, using body composition indices and liver biochemical markers.<h4>Methods</h4>To diagnose non-alcoholic fatty liver disease, 767 Danish children and adolescents underwent clinical examination, blood sampling, whole-body dual-energy X-ray absorptiometry scanning and proton magnetic resonance spectroscopy for liver fat quantification. Fourteen variables were selected as a starting point to construct models, narrowed by stepwise selection. Individuals were split into a training set for model construction and a validation test set. The final models were applied to 2120 Danish children and adolescents to estimate the prevalence.<h4>Results</h4>The final models included five variables in different combinations: body mass index-standard deviation score, android-to-gynoid-fat ratio, android-regional fat percent, trunk-regional fat percent and alanine transaminase. When validated, the sensitivity and specificity ranged from 38.6% to 51.7% and 87.6% to 91.9%, respectively. The estimated prevalence was 24.2%-35.3%. Models including alanine transaminase alongside body composition measurements displayed higher sensitivity.<h4>Conclusions</h4>Body composition indices and alanine transaminase can be used to estimate non-alcoholic fatty liver disease, with 38.6%-51.7% sensitivity and 87.6%-91.9%, specificity, in children and adolescents with overweight (including obesity). These estimated a 24.2%-35.3% prevalence in 2120 patients.Pediatric obesityPossible prediction of obesity-related liver disease in children and adolescents using indices of body composition.PMC95415670603‐00484B603‐00457BHansen TAngquist LHolm LAVonsild Lund MAFonvig CEChabanova EJohansen MJThomsen HSHolm JCfalsePossible prediction of obesity-related liver disease in children and adolescents using indices of body composition.<h4>Background</h4>Diagnosis of nonalcoholic fatty liver disease in children and adolescents currently requires advanced or invasive technologies.<h4>Objectives</h4>We aimed to develop a method to improve diagnosis, using body composition indices and liver biochemical markers.<h4>Methods</h4>To diagnose non-alcoholic fatty liver disease, 767 Danish children and adolescents underwent clinical examination, blood sampling, whole-body dual-energy X-ray absorptiometry scanning and proton magnetic resonance spectroscopy for liver fat quantification. Fourteen variables were selected as a starting point to construct models, narrowed by stepwise selection. Individuals were split into a training set for model construction and a validation test set. The final models were applied to 2120 Danish children and adolescents to estimate the prevalence.<h4>Results</h4>The final models included five variables in different combinations: body mass index-standard deviation score, android-to-gynoid-fat ratio, android-regional fat percent, trunk-regional fat percent and alanine transaminase. When validated, the sensitivity and specificity ranged from 38.6% to 51.7% and 87.6% to 91.9%, respectively. The estimated prevalence was 24.2%-35.3%. Models including alanine transaminase alongside body composition measurements displayed higher sensitivity.<h4>Conclusions</h4>Body composition indices and alanine transaminase can be used to estimate non-alcoholic fatty liver disease, with 38.6%-51.7% sensitivity and 87.6%-91.9%, specificity, in children and adolescents with overweight (including obesity). These estimated a 24.2%-35.3% prevalence in 2120 patients.2022-01-01T00:00:00Z2022 Oct2025-04-19T04:49:07.702Z2025-04-19T04:49:07.702ZS-EPMC95415673572674810.1111/ijpo.12947