Lipids & metabolic liver disease
Population‐based cohort validation and replication reveals limited generalizability of cluster‐based MASLD subtypes
Authors' conclusion
The subtyping model demonstrated limited generalizability. Nonetheless, the consistent identification of broad cardiometabolic and liver-specific patterns suggests potential value for risk stratification, pending further validation.
Study context
- Population
- Participants with MASLD from NHANES III, nationally representative U.S. population
- Participants
- 3,300 participants
- Exposure
- Cluster-based MASLD subtypes
- Outcome
- All-cause, cardiovascular-related and diabetes-related mortality across clusters
Methodological detailsvalidation and replication of a prior clustering model, Partitioning Around Medoids algorithm, Cox proportional hazards models accounting for complex survey design
- Validation and replication of a prior clustering model
- Partitioning Around Medoids algorithm
- Cox proportional hazards models accounting for complex survey design
Main finding
As reported in the abstract
Mortality across clusters
- Individual cluster assignments showed limited reproducibility between validation and replication analyses, although the overall clustering pattern was preserved
- Cardiometabolic cluster consistently showed higher risks in both analyses
- Liver-specific cluster showed no significant associations
Observational data: associations, not effects.
Original publication
Population‐based cohort validation and replication reveals limited generalizability of cluster‐based MASLD subtypes. Diabetes Obes Metab. Published 7 January 2026. doi:10.
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