Article, 2024

AGILE SCORES IN MASLD AND ALD: EXTERNAL VALIDATION AND THEIR UTILITY IN CLINICAL ALGORITHMS

Journal of Hepatology, ISSN 1600-0641, 0168-8278, 10.1016/j.jhep.2024.05.021

Contributors

Papatheodoridi, Margarita [1] [2] De Ledinghen, Victor [3] Lupsor-Platon, Monica 0000-0001-7918-1956 [4] Bronte, Fabrizio 0000-0003-0896-830X [5] Boursier, Jérôme 0000-0002-7282-1436 [6] Elshaarawy, Omar 0000-0002-6945-6204 [7] [8] [9] Marra, Fabio 0000-0001-8629-0878 [10] Thiele, Maja Sofie 0000-0003-1854-1924 [11] Markakis, Georgios 0000-0001-6336-6155 [2] Payancé, Audrey [12] Brodkin, Edgar [1] Castera, Laurent 0000-0002-6715-8588 [12] [13] Papatheodoridis, George Vasileios 0000-0002-3518-4060 [2] Krag, Aleksander Ahm 0000-0002-9598-4932 [11] Arena, Umberto 0000-0001-6635-2568 [10] Mueller, Sebastian 0000-0001-5790-0841 [9] Calès, Paul 0000-0003-4866-5274 [6] Calvaruso, Vincenza 0000-0002-0287-1059 [5] Delamarre, Adèle 0000-0002-6761-2656 [3] Pinzani, Massimo 0000-0003-1398-1541 [1] Tsochatzis, Emmanuel A 0000-0001-5069-2461 (Corresponding author) [1]

Affiliations

  1. [1] University College London
  2. [NORA names: United Kingdom; Europe, Non-EU; OECD];
  3. [2] Laiko General Hospital of Athens
  4. [NORA names: Greece; Europe, EU; OECD];
  5. [3] University of Bordeaux
  6. [NORA names: France; Europe, EU; OECD];
  7. [4] Iuliu Hațieganu University of Medicine and Pharmacy
  8. [NORA names: Romania; Europe, EU];
  9. [5] University of Palermo
  10. [NORA names: Italy; Europe, EU; OECD];

Abstract

BACKGROUND & AIMS: Agile scores, including liver stiffness measurements (LSM) and routine clinical/laboratory biomarkers, have been developed for advanced fibrosis (F≥3) and cirrhosis (F4), respectively, in patients with metabolic dysfunction-associated steatotic liver disease (MASLD). We independently validated the diagnostic accuracy of these scores in MASLD, alcohol-related liver disease (ALD) and chronic hepatitis B or C (CHB/C) and assessed them in clinical algorithms with FIB-4 and LSM. METHODS: We included 4,243 patients (MASLD: 912, ALD: 386, CHB: 597, CHC: 2,348) with LSM, liver biopsy and laboratory tests within 6 months. FIB-4, Agile 3+ and Agile 4 scores were calculated. RESULTS: For F≥3, the diagnostic accuracy of Agile 3+ and LSM were similar in MASLD (AUC: 0.86 vs. 0.86, p = 0.831) and ALD (0.92 vs. 0.94, p = 0.123). For cirrhosis, Agile 4 was similar to LSM in MASLD (0.89 vs. 0.90, p = 0.412) and ALD (0.94 vs. 0.95, p = 0.513). Agile 3+/4 performed worse than LSM in CHB/C. Using predefined dual thresholds of 90% sensitivity/specificity, correct classification rates in MASLD were 66% vs. 61% using Agile 3+ vs. LS dual cut-offs and 71% vs. 67% in ALD, respectively. When using Agile 3+ or LSM as a second step after FIB-4 >1.3, correct classification rates were higher with Agile 3+ than LSM, both for MASLD (75% vs. 71%) and ALD (76% vs. 72%), with fewer indeterminate results. Positive agreement of LSM and Agile 3+/4 significantly increased the specificity of a diagnosis of advanced fibrosis/cirrhosis. CONCLUSION: Agile 3+ and Agile 4 have equal diagnostic accuracy with LSM in both MASLD and ALD but result in fewer indeterminate results. Sequential use of FIB-4 and Agile 3+/4 or concurrent Agile 3+/4 and LSM can be used to further optimize F≥3 diagnosis. IMPACT AND IMPLICATIONS: As of today, it is accepted that there will be no single non-invasive test or an isolated cut-off for identifying patients with advanced chronic liver disease. Here, we confirmed that Agile 3+ and Agile 4 scores are useful alternatives to simple liver stiffness measurement in diagnosing advanced fibrosis/cirrhosis in steatotic liver disease, but they do not perform as well in chronic viral hepatitis. Agile scores can help optimize the diagnosis of advanced fibrosis/cirrhosis in a dual cut-off strategy by reducing the number of indeterminate results either alone or in a sequential strategy after FIB-4. The combination of Agile scores and liver stiffness measurement can further increase our confidence in a positive diagnosis of advanced fibrosis/cirrhosis. These novel combination strategies can be useful tools to predict the likelihood of advanced stages of liver disease with the highest possible accuracy in a secondary/tertiary healthcare setting.

Keywords

Agile 3, Agile 4, F4, FIB-4, accuracy, advanced chronic liver disease, advanced fibrosis, advanced fibrosis/cirrhosis, advanced stages of liver disease, agility, agility score, agreement, aim, alcohol-related liver disease, algorithm, biomarkers, biopsy, chronic hepatitis B or C, chronic liver disease, chronic viral hepatitis, cirrhosis, classification, classification rate, clinical algorithm, combination, combination strategies, confidence, cut-off, diagnosis, diagnostic accuracy, disease, fibrosis, fibrosis/cirrhosis, gt;1.3, healthcare settings, hepatitis, hepatitis B or C, implications, indeterminate results, laboratory, laboratory tests, likelihood, liver, liver biopsy, liver disease, liver stiffness measurement, measurements, months, non-invasive tests, patients, positive agreement, positive diagnosis, rate, results, scores, sensitivity/specificity, sequential strategy, sequential use, sets, specificity, stage of liver disease, steatotic liver disease, stiffness measurement, strategies, test, threshold, use, viral hepatitis

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