4.3 Article

An effective early death scoring system for predicting early death risk in de novo acute promyelocytic leukemia

Journal

LEUKEMIA & LYMPHOMA
Volume 61, Issue 8, Pages 1989-1995

Publisher

TAYLOR & FRANCIS LTD
DOI: 10.1080/10428194.2020.1742910

Keywords

Acute promyelocytic leukemia; early death; risk score

Funding

  1. National Key R&D Program of China [2019YFA0111000]
  2. National Natural Science Foundation of China [81570139, 81600116, 81600114, 81700140, 81970142, 81900130, 81970136]
  3. Natural Science Foundation of the Jiangsu Higher Education Institution of China [18KJA320005]
  4. Natural Science Foundation of Jiangsu Province [BK20190180]
  5. China Postdoctoral Science Foundation [2018M632372]

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The Sanz risk, which was originally used to predict the risk of acute promyelocytic leukemia (APL) relapse, is a recognized method to predict the prognosis of APL. About 570 de novo APL patients admitted to our center were randomly divided into a training cohort (N = 344) and validation cohort (N = 226). Multivariate analysis of training cohort demonstrated that age >52 (OR = 5.170, p = .002), white blood cell count >10 x 10(9)/L (OR = 9.062, p < .001), PLT count <= 10 x 10(9)/L (OR = 4.254, p < .001), and LDH level >500 U/L (OR= 3.002, p = .046) were independent risk factors for early death. A risk score (age >52: 1.5 points; WBC >10 x 10(9)/L: 2 points; PLT <= 10 x 10(9)/L: 1 point; LDH >500 U/L: 1 point) was used to predict early death risk. The model shows a better predictive power of early death in training cohort and validation cohort compared with Sanz risk stratification.

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