Possible prediction of obesity‐related liver disease in children and adolescents using indices of body composition.
Summary: Background: Diagnosis of nonalcoholic fatty liver disease in children and adolescents currently requires advanced or invasive technologies. Objectives: We aimed to develop a method to improve diagnosis, using body composition indices and liver biochemical markers. Methods: To diagnose non‐a...
| Published in: | Pediatric Obesity Vol. 17; no. 10; pp. 1 - 12 |
|---|---|
| Main Authors: | , , , , , , , , |
| Format: | research tables/charts Journal Article |
| Published: |
Wiley-Blackwell
Oct2022
|
| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=158964098&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 158964098 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 20476302 ETV7 jtl: Pediatric Obesity issn: 20476302 maglogo: Y pubinfo: dt: Oct2022 vid: 17 iid: 10 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 158964098 157537363 158964098 158964098 10.1111/ijpo.12947 158964098 ppf: 1 ppct: 11 formats: fmt: – @attributes: type: T – @attributes: type: C – @attributes: type: P tig: atl: Possible prediction of obesity‐related liver disease in children and adolescents using indices of body composition. aug: au: Johansen, Magnus Jung Vonsild Lund, Morten Asp Ängquist, Lars Fonvig, Cilius Esmann Holm, Louise Aas Chabanova, Elizaveta Thomsen, Henrik S. Hansen, Torben Holm, Jens‐Christian affil: The Children's Obesity Clinic, Accredited European Centre for Obesity Management, Department of Pediatrics, Copenhagen University Hospital Holbæk, Holbæk, Denmark sug: subj: Pediatric Obesity Complications Pediatric Obesity Complications Nonalcoholic Fatty Liver Disease Diagnosis Body Composition In Infancy and Childhood Pediatric Obesity Epidemiology Metabolic Diseases Risk Factors Absorptiometry, Photon Methods Biological Markers Blood Specimen Collection Proton Magnetic Resonance Spectroscopy Instrument Validation Body Mass Index Human Male Female Child Adolescence Instrument Construction Adipose Tissue Distribution Alanine Aminotransferase Sensitivity and Specificity Descriptive Statistics Data Analysis Software Child: 6-12 years Adolescent: 13-18 years Male Female ab: Summary: Background: Diagnosis of nonalcoholic fatty liver disease in children and adolescents currently requires advanced or invasive technologies. Objectives: We aimed to develop a method to improve diagnosis, using body composition indices and liver biochemical markers. Methods: 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. Results: 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. Conclusions: 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. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
|---|