{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,14]],"date-time":"2025-05-14T03:32:18Z","timestamp":1747193538443,"version":"3.40.5"},"reference-count":36,"publisher":"S. Karger AG","issue":"5","license":[{"start":{"date-parts":[[2022,8,16]],"date-time":"2022-08-16T00:00:00Z","timestamp":1660608000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"},{"start":{"date-parts":[[2022,8,16]],"date-time":"2022-08-16T00:00:00Z","timestamp":1660608000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Dig Dis"],"published-print":{"date-parts":[[2023]]},"abstract":"<jats:p>&lt;b&gt;&lt;i&gt;Background:&lt;\/i&gt;&lt;\/b&gt; Noninvasive tests (NITs) are necessary for knowing the true prevalence of fatty liver (FL) and advanced fibrosis. NITs for diagnosis of FL and fibrosis were compared. &lt;b&gt;&lt;i&gt;Methods:&lt;\/i&gt;&lt;\/b&gt; Data were obtained from the National Health and Examination Survey (2017\u20132018). Participants were excluded with other liver diseases, missing data for NIT calculation, and\/or excessive alcohol use. Area under the receiver operating characteristic (AUROC) compared the accuracy of 4 FL NITs (CAP, HSI, FLI, USFLI) among themselves and to CAP value of 285 dB\/m and 5 fibrosis NITs (transient elastography, APRI, NFS, FIB-4, HEPAmet) among themselves and to LSM \u22658.7 kPa. &lt;b&gt;&lt;i&gt;Results:&lt;\/i&gt;&lt;\/b&gt; Among 2,051 participants (average age 47 (\u00b117.7), 48% males, 62% white, 73% overweight\/obese, 39% metabolic syndrome), demographics were similar among NIT groups (CAP = 812; HSI = 1,234; FLI = 935; USFLI-824). FL prevalence by NIT: 39% CAP, 58% HSI, 47% FLI, 37% USFLI. Advanced fibrosis prevalence by test: LSM (\u22658.7 kPa) 10\u201314%; FIB-4 (\u22652.67) and APRI (\u22650.7) 1.3\u20132.7%; HEPAmet (&amp;gt;0.47) 14\u201321%. Compared to CAP \u2265285, FLI (AUROC = 0.823) and USFLI (AUROC = 0.833) performed better than HSI (AUROC: 0.798). Compared to LSM \u22658.7 kPa, only NFS (AUROC = 0.722) performed well (FIB-4 AUROC = 0.606; APRI = 0.647; HEPAmet = 0.629). Among the CAP cohort, the strongest FL predictor was obesity (OR: 15.2, 95% CI: 7.97\u201328.9, &lt;i&gt;p&lt;\/i&gt; &amp;lt; 0.001); the only fibrosis predictor was elevated AST (OR: 1.06, 95% CI: 1.00\u20131.12, &lt;i&gt;p&lt;\/i&gt; = 0.04). The addition of CAP or LSM as a second NIT reduced the number of indeterminate patients especially for FL. &lt;b&gt;&lt;i&gt;Conclusions:&lt;\/i&gt;&lt;\/b&gt; Regardless of diagnostic method in 2017\u20132018, the prevalence of NAFLD was &amp;gt;35%. NITs for FL performed well but not for advanced fibrosis. CAP and LSM as a second NIT reduced those considered indeterminate. <\/jats:p>","DOI":"10.1159\/000526503","type":"journal-article","created":{"date-parts":[[2022,8,16]],"date-time":"2022-08-16T21:03:54Z","timestamp":1660683834000},"page":"767-779","source":"Crossref","is-referenced-by-count":3,"title":["Transient Elastography and Serum-Based Tests for Diagnosis of Fatty Liver and Advanced Fibrosis in a Community Cohort: A Cross-Sectional Analysis"],"prefix":"10.1159","volume":"41","author":[{"given":"Michael H.","family":"Le","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Linda","family":"Henry","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ramsey","family":"Cheung","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6275-4989","authenticated-orcid":false,"given":"Mindie 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