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December 8, 2025Blood

Integrating the cardiovascular-renal-metabolic syndrome（ckm）: Construction and validation of a comprehensive model for early identification of high-risk multiple myeloma

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Authors

WLWenyi Lu

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Overview

Analysis identifies a prognostic model using genetic markers in multiple myeloma, suggesting improved risk stratification and patient management.

Key Points

  • Logistic regression revealed genetic markers and platelets as significant risk factors for high-risk multiple myeloma.
  • The prognostic model achieved a ROC curve area of 0.731, indicating strong predictive capability for patient outcomes.
  • A novel integration of genetic risk factors and clinical indicators offers innovative approaches to risk stratification.
  • Calibration and decision curve analysis confirm the model's impressive clinical utility in guiding treatment decisions.

Cite This Study

Wenyi Lu (2025) studied this question.

synapsesocial.com/papers/69362f574fa91c937236da71https://doi.org/10.1182/blood-2025-2796
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1A multivariable prediction model for early mortality in multiple myeloma patients with renal impairment2025
  2. 2Machine learning risk stratification strategy for multiple myeloma: Insights from the EMN–HARMONY Alliance platform2025 · 4 citations
  3. 3Validation and refinement of the new high-risk multiple myeloma (HRMM) criteria in relapsed or refractory patients treated with BCMA CAR-T.2025
  4. 4Personalized prognostic model for multiple myeloma patients using continuous variables2025
  5. 5Risk factors and their contributions to prognosis in multiple myeloma2026