Multicenter study develops a nomogram for early mortality prediction in multiple myeloma patients, highlighting key risk factors like age and hematologic response.
Key Points
The study identifies a risk prediction model that stratifies early mortality risk in patients with multiple myeloma and renal impairment, guiding clinical decision-making.
Using logistic regression analysis, key prognostic factors for early mortality include age, serum calcium level, and hematologic response.
A nomogram was developed based on five independent predictors, showing excellent discrimination with an AUC of 0.858 in validating patients across multiple centers.
The model supports targeted interventions for high-risk patients, indicating further prospective validation is needed for broader applicability across diverse populations.