Diagnostic accuracy of AGILE 3+ score for advanced fibrosis in patients with NAFLD: A systematic review and meta-analysis.

Abstract

A simple noninvasive score, the Agile 3+ score, combining liver stiffness measurement, aspartate aminotransferase/alanine aminotransferase ratio, platelet count, diabetes status, sex, and age, has been proposed for the identification of advanced fibrosis in patients with suspected NAFLD. We performed a systematic review and meta-analysis of observational studies to evaluate the diagnostic accuracy of the Agile 3+ score in identifying patients with NAFLD and advanced fibrosis. Recently, an International consensus changed the nomenclature of NAFLD into metabolic-associated steatotic liver disease, so currently, the two terms are interchangeable. We systematically searched MEDLINE, Ovid Embase, Scopus, and Cochrane Library electronic databases for full-text published articles in any language from the inception to the April 24, 2023. We included original articles reporting data on the sensitivity and specificity of the Agile 3+ score, according to previously described rule-out (≤ 0.451) and rule-in (≥ 0.679) cutoffs. We included 6 observational studies (total of 6955 participants) with biopsy-proven NAFLD [mean age 53 (SE 4) years, mean body mass index 30.9 (SE 2.3) kg/m 2 , 54.0% men, prevalence of diabetes 59.6%]. The pooled prevalence of advanced fibrosis (≥ F3) was 42.1%. By the rule-out cutoff, the overall sensitivity and specificity were 88% (95% CI: 81-93%; I2 = 89.2%) and 65% (95% CI: 54-75%; I2 = 97.6%), respectively. By the rule-in cutoff, the overall sensitivity and specificity were 68% (95% CI: 57-78%; I2 =91.1%) and 87% (95% CI: 80%-92%; I2 =96.7%), respectively. Meta-regression analyses reported that the diagnostic accuracy was partly mediated by age ( p < 0.01), body mass index ( p < 0.01), and, although not statistically significant, sex ( p = 0.06). Our systematic review and meta-analysis suggests that Agile 3+ accurately diagnoses NAFLD with advanced fibrosis and can identify patients eligible for biopsy and emerging pharmacotherapies.