Algorithms for Risk Stratification in Patients with Metabolic Dysfunction-Associated Steatohepatitis

Area of Science:

• Hepatology
• Gastroenterology
• Internal Medicine

Background:

• Metabolic dysfunction-associated steatohepatitis (MASH) with significant fibrosis (≥F2) requires early detection to prevent severe liver and non-liver complications.
• Current guidelines advocate for noninvasive screening of high-risk populations using multi-step algorithms.

Purpose of the Study:

• To review MASH risk stratification algorithms.
• To summarize supporting evidence and potential patient management benefits.
• To discuss implementation barriers in clinical practice.

Main Methods:

• Literature review of international guidelines and clinical studies.
• Analysis of noninvasive testing algorithms for MASH and fibrosis.
• Synthesis of evidence on clinical utility and implementation challenges.

Main Results:

• Noninvasive algorithms are recommended for MASH screening in at-risk individuals.
• Evidence supports the clinical utility of these algorithms for risk stratification.
• Barriers to routine implementation in clinical practice exist and require addressing.

Conclusions:

• Early MASH and fibrosis detection via noninvasive algorithms is vital for patient management.
• Optimizing screening strategies can improve outcomes and reduce complications.
• Overcoming implementation barriers is key to widespread adoption and improved patient care.