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ABSTRACT: Background
This nationwide real-world data cohort study developed a risk-scoring model to predict the progression of monoclonal gammopathy of undetermined significance (MGUS) to symptomatic multiple myeloma (MM) using prior disease conditions.Materials and methods
The Health Insurance Review and Assessment Service database, which covers nearly the entire Korean population, was utilized in this study. Out of 5361 MGUS patients, 345 (6.4%) were diagnosed with MM, with 253 (73.3%) of them progressing to symptomatic MM.Results
We identified female sex, chronic pulmonary disease, peptic ulcer disease, diabetes, and non-malignant hematologic disorder as significant risk factors and integrated these into the risk-scoring model. MGUS patients can be stratified into low-, in
SUBMITTER: Ko H
PROVIDER: S-EPMC12308365 | biostudies-literature | 2025 Jul
REPOSITORIES: biostudies-literature