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From "Burnt-Out" to "Burning-Out": Capturing Liver Fat Loss in Patients With Advanced Metabolic Dysfunction-Associated Steatotic Liver Disease From a Dynamic Perspective.

Gastroenterology2025-03-21PubMed
Total: 81.5Innovation: 8Impact: 9Rigor: 8Citation: 8

Summary

In a 16-center cohort (n=3273 histology; n=5455 serial VCTE), ‘burnt-out’ MASLD (≤S1 steatosis, ≥F3 fibrosis) carried significantly higher risks of mortality, liver-related events, and decompensation. Trajectory-defined ‘burning-out’ MASLD, with progressive CAP decline and LSM rise, also showed elevated adverse outcome rates, underscoring that fat loss in advanced disease signals worse prognosis.

Key Findings

  • Defined ‘burnt-out’ MASLD (≤S1 steatosis, ≥F3 fibrosis) in 435/3273 histology cases with higher mortality (HR 2.14), LREs (HR 1.77), and decompensation (HR 1.83).
  • Identified 176 ‘burning-out’ patients via trajectory analysis (falling CAP, rising LSM) with elevated incidence of adverse outcomes.
  • Burning-out group had higher cumulative incidence of events than patients with consistently high CAP and lower LSM (P < .0001).

Clinical Implications

Patients with advanced MASLD and low/declining steatosis merit aggressive surveillance for decompensation and liver-related events; dynamic CAP/LSM trajectories can refine prognosis and therapeutic prioritization.

Why It Matters

Establishes a dynamic steatosis-loss phenotype (‘burning-out’) linked to adverse outcomes, challenging reliance on steatosis as a benign sign in advanced MASLD and informing risk stratification.

Limitations

  • Observational design susceptible to residual confounding.
  • Definitions rely on CAP/LSM thresholds which may vary by device/setting.

Future Directions

Prospective validation of burning-out trajectories across platforms and integration into risk models; evaluate whether targeted antifibrotic or metabolic therapies alter burning-out course.

Study Information

Study Type
Cohort
Research Domain
Prognosis
Evidence Level
II - Large multicenter cohort with histology and longitudinal imaging to assess prognosis.
Study Design
OTHER