Development and validation of a new risk assessment model for immunomodulatory drug-associated venous thrombosis among Chinese patients with multiple myeloma
Thrombosis Journal · 26 authors, 16 centres
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A multivariate Cox regression model identified five independent predictive factors for VTE: diabetes, ECOG performance status, erythropoietin-stimulating agent use, dexamethasone use, and VTE or family history of thrombosis.
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A multivariate Cox regression model identified five independent predictive factors for VTE: diabetes, ECOG performance status, erythropoietin-stimulating agent use, dexamethasone use, and VTE or family history of thrombosis. The new risk assessment model (RAM) achieved a C statistic of 0.64, identifying about 30% of patients as high-risk with a hazard ratio of over 6.0 in both cohorts. This performance was superior to the IMWG guidelines (C statistic 0.58) and the SAVED score (C statistic 0.51). The study notes a low overall VTE incidence of 6.1% in this population and highlights that risk factors and prophylaxis practices differ from Western studies.
