{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Johansen MJ"],"funding":["Innovationsfonden"],"pagination":["e12947"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC9541567"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["17(10)"],"pubmed_abstract":["<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."],"journal":["Pediatric obesity"],"pubmed_title":["Possible prediction of obesity-related liver disease in children and adolescents using indices of body composition."],"pmcid":["PMC9541567"],"funding_grant_id":["0603‐00484B","603‐00457B"],"pubmed_authors":["Hansen T","Angquist L","Holm LA","Vonsild Lund MA","Fonvig CE","Chabanova E","Johansen MJ","Thomsen HS","Holm JC"],"additional_accession":[]},"is_claimable":false,"name":"Possible prediction of obesity-related liver disease in children and adolescents using indices of body composition.","description":"<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.","dates":{"release":"2022-01-01T00:00:00Z","publication":"2022 Oct","modification":"2025-04-19T04:49:07.702Z","creation":"2025-04-19T04:49:07.702Z"},"accession":"S-EPMC9541567","cross_references":{"pubmed":["35726748"],"doi":["10.1111/ijpo.12947"]}}