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Development of a prediction protocol for the screening of metabolic associated fatty liver disease in children with overweight or obesity

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dc.contributor.authorOsés Recalde, Maddi
dc.contributor.authorCadenas-Sánchez, Cristina
dc.contributor.authorMedrano Echeverría, María
dc.contributor.authorGalbete Jiménez, Arkaitz
dc.contributor.authorMiranda Ferrúa, Emilianoes_ES
dc.contributor.authorRuiz, Jonatan R.es_ES
dc.contributor.authorSánchez-Valverde, Felixes_ES
dc.contributor.authorOrtega, Francisco B.es_ES
dc.contributor.authorCabeza Laguna, Rafael
dc.contributor.authorVillanueva Larre, Arantxa
dc.contributor.authorIdoate, Fernandoes_ES
dc.contributor.authorLabayen Goñi, Idoia
dc.contributor.departmentOsasun Zientziakeu
dc.contributor.departmentInstitute of Smart Cities - ISCen
dc.contributor.departmentInstitute on Innovation and Sustainable Development in Food Chain - ISFOODen
dc.contributor.departmentCiencias de la Saludes_ES
dc.contributor.funderGobierno de Navarra / Nafarroako Gobernuaes
dc.date.accessioned2022-08-19T09:22:04Z
dc.date.available2022-08-19T09:22:04Z
dc.date.issued2022
dc.date.updated2022-08-19T09:14:00Z
dc.description.abstractBackground: the early detection and management of children with metabolic associ-ated fatty liver disease (MAFLD) is challenging. Objective: to develop a non-invasive and accurate prediction protocol for the identi-fication of MAFLD among children with overweight/obesity candidates to confirma-tory diagnosis. Methods: a total of 115 children aged 8–12 years with overweight/obesity, rec-ruited at a primary care, were enrolled in this cross-sectional study. The external vali-dation was performed using a cohort of children with overweight/obesity (N=46)aged 8.5–14.0 years. MAFLD (≥5.5% hepatic fat) was diagnosed by magnetic reso-nance imaging (MRI). Fasting blood biochemical parameters were measured, and25 candidates’ single nucleotide polymorphisms (SNPs) were determined. Variablespotentially associated with the presence of MAFLD were included in a multivariatelogistic regression. Results: children with MAFLD (36%) showed higher plasma triglycerides (TG),insulin, homeostasis model assessment ofinsulin resistance (HOMA-IR), alanineaminotransferase (ALT), aspartate transaminase (AST), glutamyl-transferase (GGT)and ferritin (p< 0.05). The distribution of the risk-alleles of PPARGrs13081389, PPARGrs1801282, HFErs1800562 and PNLPLA3rs4823173 was significantly different between children with and without MAFLD (p<0.05). Threebiochemical- and/or SNPs-based predictive models were developed, showingstrong discriminatory capacity (AUC-ROC: 0.708–0.888) but limited diagnosticperformance (sensitivity 67%–82% and specificity 63%–69%). A prediction proto-col with elevated sensitivity (72%) and specificity (84%) based on two consecutive steps was developed. The external validation showed similar results: sensitivity of 70% and specificity of 85%. Conclusions: the HEPAKID prediction protocol is an accurate, easy to implant, minimally invasive and low economic cost tool useful for the early identification and management of paediatric MAFLD in primary care.en
dc.description.sponsorshipEconomic Development of Goverment of Navarra, Grant/Award Numbers: 0011-1365-2019-000000, 0011-1365-2020-00140; Fondos Estructurales de la Unión Europea (FEDER); Instituto de Salud Carlos III, Grant/Award Number: PI13/01335; Ministerio de Economía, Industria y Competitividad, Gobierno de España, Grant/Award Number: DEP2016-78377-R; Secretaría de Estado de Investigación, Desarrollo e Innovación, Grant/Award Number: BES-2017-080770en
dc.format.mimetypeapplication/pdfen
dc.identifier.citationOses, M.; Cadenas-Sanchez, C.; Medrano, M.; Galbete, A.; Miranda-Ferrua, E.; Ruiz, J. R.; Sánchez-Valverde, F.; Ortega, F. B.; Cabeza, R.; Villanueva, A.; Idoate, F.; Labayen, I.. (2022). Development of a prediction protocol for the screening of metabolic associated fatty liver disease in children with overweight or obesity. Pediatric Obesity. 17.en
dc.identifier.doi10.1111/ijpo.12917
dc.identifier.issn2047-6302
dc.identifier.urihttps://academica-e.unavarra.es/handle/2454/43819
dc.language.isoengen
dc.publisherWileyen
dc.relation.ispartofPediatric Obesity, 2022, 17en
dc.relation.projectIDinfo:eu-repo/grantAgreement/MINECO//PI13%2F01335/ES/en
dc.relation.projectIDinfo:eu-repo/grantAgreement/ES/1PE/DEP2016-78377-Ren
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/BES-2017-080770en
dc.relation.publisherversionhttps://doi.org/10.1111/ijpo.12917
dc.rightsThis is an open access article under the terms of the Creative Commons Attribution-NonCommercial Licenseen
dc.rights.accessRightsAcceso abierto / Sarbide irekiaes
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessen
dc.rights.urihttps://creativecommons.org/licenses/by-nc/4.0/
dc.subjectFatty liveren
dc.subjectMetabolic diseasesen
dc.subjectPaediatric obesityen
dc.subjectPrimary health careen
dc.titleDevelopment of a prediction protocol for the screening of metabolic associated fatty liver disease in children with overweight or obesityen
dc.typeArtículo / Artikuluaes
dc.typeinfo:eu-repo/semantics/articleen
dc.type.versionVersión publicada / Argitaratu den bertsioaes
dc.type.versioninfo:eu-repo/semantics/publishedVersionen
dspace.entity.typePublication
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