Development and Internal Validation of Fatty Liver Prediction Models in Obese Children and Adolescents.
adolescents
children
cross-sectional study
diagnostic techniques and procedures
fatty liver
obesity
Journal
Journal of clinical medicine
ISSN: 2077-0383
Titre abrégé: J Clin Med
Pays: Switzerland
ID NLM: 101606588
Informations de publication
Date de publication:
02 Apr 2021
02 Apr 2021
Historique:
received:
27
02
2021
revised:
11
03
2021
accepted:
30
03
2021
entrez:
30
4
2021
pubmed:
1
5
2021
medline:
1
5
2021
Statut:
epublish
Résumé
To develop predictive models of fatty liver (FL), we performed a cross-sectional retrospective study of 1672 obese children with a median (interquartile range) age of 15 (13-16) years. The outcome variable was FL diagnosed by ultrasonography. The potential predictors were: (1) binary: sex; (2) continuous: age, body mass index (BMI), waist circumference (WC), alanine transaminase (ALT), aspartate transaminase, gamma-glutamyltransferase, glucose, insulin, homeostasis model assessment of insulin resistance (HOMA-IR), HDL-cholesterol, LDL-cholesterol, triglycerides, mean arterial pressure, uric acid, and c-reactive protein; (3) ordinal: Pubertal status. Bootstrapped multivariable logistic regression with fractional polynomials was used to develop the models. Two models were developed and internally validated, one using BMI and the other using WC as the anthropometric predictor. Both models included ALT, HOMA-IR, triglycerides, and uric acid as predictors, had similar discrimination (c-statistic = 0.81), and were similarly well calibrated as determined by calibration plots. These models should undergo external validation before being employed in clinical or research practice.
Identifiants
pubmed: 33918271
pii: jcm10071470
doi: 10.3390/jcm10071470
pmc: PMC8038182
pii:
doi:
Types de publication
Journal Article
Langues
eng
Subventions
Organisme : Istituto Auxologico Italiano
ID : Progetti di ricerca corrente 1C021_2020 "BILOB"
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