Identification of Candidates for MASLD Treatment With Indeterminate Vibration-Controlled Transient Elastography

A noteworthy proportion of patients with metabolic dysfunction–associated steatotic liver disease (MASLD) have an indeterminate vibration-controlled transient elastography (VCTE). Among these patients, we aimed to identify candidates for MASLD treatment by diagnosing significant fibrosis. This was a...

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Veröffentlicht in:Clinical gastroenterology and hepatology 2024-11
Hauptverfasser: Marti-Aguado, David, Carot-Sierra, José Miguel, Villalba-Ortiz, Aida, Siddiqi, Harris, Vallejo-Vigo, Rose Marie, Lara-Romero, Carmen, Martín-Fernández, Marta, Fernández-Patón, Matías, Alfaro-Cervello, Clara, Crespo, Ana, Coello, Elena, Merino-Murgui, Víctor, Madamba, Egbert, Benlloch, Salvador, Pérez-Rojas, Judith, Puglia, Víctor, Ferrández, Antonio, Aguilera, Victoria, Monton, Cristina, Escudero-García, Desamparados, Lluch, Paloma, Aller, Rocío, Loomba, Rohit, Romero-Gomez, Manuel, Marti-Bonmati, Luis
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Sprache:eng
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Zusammenfassung:A noteworthy proportion of patients with metabolic dysfunction–associated steatotic liver disease (MASLD) have an indeterminate vibration-controlled transient elastography (VCTE). Among these patients, we aimed to identify candidates for MASLD treatment by diagnosing significant fibrosis. This was a real-world prospective study including a large dataset of MASLD patients with paired VCTE and liver biopsy from 6 centers. A total of 1196 patients were recruited and divided in training (3 centers, Spain), internal validation (2 centers, Spain), and external validation (1 center, United States) cohorts. In patients with indeterminate liver stiffness measurement (LSM) (8–12 kPa), a diagnostic algorithm was developed to identify significant fibrosis, defined as histological stage ≥F2. Statistical analysis was performed using Gaussian mixture model (GMM) and k-means unsupervised clusterization. From the eligible population, 33%, 29%, and 31% had indeterminate VCTE in the training, internal and external validation samples, respectively. The controlled attenuation parameter allowed the differentiation of GMM clusters with a cutoff of 280 dB/m (area under the curve, 0.89; 95% confidence interval, 0.86–0.97). Within patients with
ISSN:1542-3565
1542-7714
1542-7714
DOI:10.1016/j.cgh.2024.10.014