ArticleAmerican journal of cancer research2026
Establishment and validation of a 28-day clinical outcome prediction model for acute promyelocytic leukemia based on an early platelet-coagulation factor combined transfusion strategy.
Article in American journal of cancer research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Early mortality in acute promyelocytic leukemia (APL) remains a major challenge, and the Sanz risk stratification has limited predictive value. This retrospective multicenter study aimed to establish and externally validate a 28-day mortality risk prediction nomogram integrating an early platelet-coagulation factor (PLT-CF) combined transfusion strategy. A total of 631 newly diagnosed APL patients from two tertiary hospitals (2019-2024) were divided into a training cohort (n = 429) and an external validation cohort (n = 202). Independent predictors were identified by multivariate Cox regression and incorporated into a nomogram. Model performance was assessed by time-dependent ROC curves, calibration, decision curve analysis (DCA), and Kaplan-Meier survival analysis, with comparison against the Sanz system. The 28-day mortality rate was 19.02% (120/631). Six independent predictors were identified: decreased fibrinogen (HR = 0.254, P < 0.001), decreased hemoglobin (HR = 0.989, P = 0.034), age ≥ 45 years (HR = 2.037, P = 0.003), Charlson Comorbidity Index score 1-3 (HR = 1.877, P = 0.005), white blood cell count > 10 × 10
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