Screening for Metabolic Dysfunction-Associated Steatotic Liver Disease-Related Advanced Fibrosis in Diabetology: A Prospective Multicenter Study.
Summary
In 654 patients with MASLD and type 2 diabetes and/or obesity, noninvasive algorithms using FIB-4 followed by VCTE (or 2D-SWE/ELF) performed well for triaging advanced fibrosis. FIB-4/VCTE showed excellent diagnostic performance for referral; FIB-4/ELF at 9.8 offered high NPV but lower PPV, supporting practical screening pathways in diabetology clinics.
Key Findings
- Among 654 patients, 17.6% had intermediate/high risk and 9.3% had high risk of advanced fibrosis.
- Diagnostic AUCs for high-risk AF: FIB-4 0.78, FibroTest 0.78, FibroMeter 0.74, ELF 0.82, SWE 0.84.
- FIB-4/VCTE algorithms showed strong performance for referral decisions; FIB-4/ELF (threshold 9.8) achieved NPV 88–89% with PPV 39–46%; FIB-4/2D-SWE achieved NPV 91% with PPV 58–62%.
- Age-adapted FIB-4 thresholds reduced NPV and PPV across algorithms.
Clinical Implications
Diabetology clinics can adopt a two-step screening algorithm—FIB-4 followed by VCTE where available, or ELF/2D-SWE—to efficiently triage patients for hepatology referral, leveraging high NPV to rule out advanced fibrosis.
Why It Matters
Provides prospective multicenter evidence to operationalize MASLD advanced fibrosis screening in diabetology using accessible tools (FIB-4, VCTE/ELF), addressing a major care gap.
Limitations
- Interim analysis; not all participants had biopsy, and composite reference may introduce heterogeneity.
- Conducted in specialized settings; real-world performance in primary care or resource-limited clinics warrants evaluation.
Future Directions
Validate algorithm performance and thresholds across diverse populations and care settings, assess outcomes of referral strategies, and integrate with diabetes care pathways and EHR-based prompts.
Study Information
- Study Type
- Cohort
- Research Domain
- Diagnosis
- Evidence Level
- II - Prospective multicenter diagnostic accuracy study with composite reference standard.
- Study Design
- OTHER