{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T17:52:54Z","timestamp":1760205174497,"version":"3.41.2"},"reference-count":31,"publisher":"Wiley","issue":"9","license":[{"start":{"date-parts":[[2022,5,2]],"date-time":"2022-05-02T00:00:00Z","timestamp":1651449600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Pediatric Obesity"],"published-print":{"date-parts":[[2022,9]]},"abstract":"<jats:title>Summary<\/jats:title><jats:sec><jats:title>Background<\/jats:title><jats:p>Non\u2010alcoholic fatty liver conditions in adolescence are associated with premature mortality in adulthood. Effective screening could impact the population burden of this disease.<\/jats:p><\/jats:sec><jats:sec><jats:title>Objectives<\/jats:title><jats:p>We sought to determine which adolescents should be screened for non\u2010alcoholic fatty liver using vibration\u2010controlled transient elastography.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>We simulated a non\u2010alcoholic fatty liver screening program of 938 adolescents from the National Health and Nutritional Examination Survey of 2017\/2018. We stratified subjects by body mass index and metabolic parameters and analyzed our data using standard diagnostic statistical measures.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>The weighted prevalence of non\u2010alcoholic fatty liver and non\u2010alcoholic fatty liver disease was 24.4%, and 3.8%, respectively. For all subjects with obesity (21.8% of the population), screening identified 61.8% of the non\u2010alcoholic fatty liver cases. In a category of all subjects with obesity and overweight subjects with metabolic abnormalities (26.7% of the population), screening identified 71.2% of non\u2010alcoholic fatty liver cases.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>The two groups most likely to benefit by transient elastography screening are adolescents with obesity and overweight adolescents with one metabolic abnormality. These criteria reduce the number of individuals to be tested by approximately 80% (from an approximate 32 million adolescents to 6\u20137.5 million adolescents), while retaining a diagnostic accuracy of 84%\u201385%.<\/jats:p><\/jats:sec>","DOI":"10.1111\/ijpo.12924","type":"journal-article","created":{"date-parts":[[2022,5,3]],"date-time":"2022-05-03T02:10:00Z","timestamp":1651543800000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Risk stratification of adolescents for the screening of <scp>non\u2010alcoholic<\/scp> fatty liver disease"],"prefix":"10.1111","volume":"17","author":[{"given":"Gary A.","family":"Abrams","sequence":"first","affiliation":[{"name":"Prisma Health, Department of Medicine, Division of Gastroenterology and Liver Disease University of South Carolina\u2010SOM Greenville  Greenville South Carolina USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5923-1864","authenticated-orcid":false,"given":"Deanna","family":"Ware","sequence":"additional","affiliation":[{"name":"Department of Infectious Diseases Georgetown University Medical Center  Washington District of Columbia USA"},{"name":"Institute of Etiological Research  Boca Raton Florida USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Margaret M.","family":"Byrne","sequence":"additional","affiliation":[{"name":"Department of Health Outcomes and Behavior H. 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