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A Novel Score Based on Controlled Attenuation Parameter Accurately Predicts Hepatic Steatosis in Individuals With Metabolic Dysfunction Associated Steatotic Liver Disease: A Derivation and Independent Validation Study. | LitMetric

AI Article Synopsis

  • In metabolic dysfunction-associated steatotic liver disease, the study aimed to create an improved diagnostic score using the controlled attenuation parameter (CAP) and other clinical data to better assess liver fat content.
  • A total of 373 participants were analyzed across various cohorts, where the new score (CAP-BMI-AST score or CBST) was developed and tested for effectiveness against the established CAP method.
  • Results showed that CBST significantly outperformed CAP in accurately identifying different levels of liver fat as indicated by MRI-PDFF, indicating its potential as a better diagnostic tool.

Article Abstract

Introduction: In metabolic dysfunction-associated steatotic liver disease, the diagnostic efficacy of controlled attenuation parameter (CAP) was not very accurate in evaluating liver fat content. The aim of this study was to develop a score, based on CAP and conventional clinical parameters, to improve the diagnostic performance of CAP regarding liver fat content.

Methods: A total of 373 participants from 2 independent Chinese cohorts were included and divided into derivation (n = 191), internal validation (n = 75), and external validation (n = 107) cohorts. Based on the significant difference index between the 2 groups defined by the magnetic resonance imaging-proton density fat fraction (MRI-PDFF) in derivation cohort, the optimal model (CAP-BMI-AST score [CBST]) was screened by the number of parameters and the area under the receiver operating characteristic curve (AUROC). In the internal and external validation cohorts, the AUROC and corresponding 95% confidence intervals (CIs) were used to compare the diagnostic performance of CBST with that of CAP.

Results: We constructed the CBST = -14.27962 + 0.05431 × CAP - 0.14266 × body mass index + 0.01715 × aspartate aminotransferase. When MRI-PDFF was ≥20%, ≥10%, and ≥5%, the AUROC for CBST was 0.77 (95% CI 0.70-0.83), 0.89 (95% CI 0.83-0.94), and 0.93 (95% CI 0.88-0.98), which was higher than that for CAP respectively. In the internal validation cohort, the AUROC for CBST was 0.80 (95% CI 0.70-0.90), 0.95 (95% CI 0.91-1.00), and 0.98 (95% CI 0.94-1.00). The optimal thresholds of CBST were -0.5345, -1.7404, and -1.9959 for detecting MRI-PDFF ≥20%, ≥10%, and ≥5%, respectively.

Discussion: The CBST score can accurately evaluate liver steatosis and is superior to the CAP.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10962889PMC
http://dx.doi.org/10.14309/ctg.0000000000000680DOI Listing

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