医学
队列
急性早幼粒细胞白血病
内科学
弗雷明翰风险评分
白细胞
队列研究
风险评估
危险分层
肿瘤科
疾病
生物
基因
生物化学
计算机科学
维甲酸
计算机安全
作者
Ping Cai,Qian Wu,Yemin Wang,Xiaofei Yang,Xinyou Zhang,Suning Chen
标识
DOI:10.1080/10428194.2020.1742910
摘要
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 × 109/L (OR = 9.062, p < .001), PLT count ≤10 × 109/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 × 109/L: 2 points; PLT ≤10 × 109/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.
科研通智能强力驱动
Strongly Powered by AbleSci AI