A multistate model of survival prediction and event monitoring in prefibrotic myelofibrosis.
A multistate model of survival prediction and event monitoring in prefibrotic myelofibrosis.
复制标题
纤维化前骨髓纤维化患者生存预测和事件监测的多状态模型。
DOI:
10.1038/s41408-020-00368-1
复制
发表时间:
2020-10-14
影响因子:
12.8
通讯作者:
Barbui T
中科院分区:
文献类型:
--
作者:
Carobbio A;Guglielmelli P;Rumi E;Cavalloni C;De Stefano V;Betti S;Rambaldi A;Finazzi MC;Thiele J;Vannucchi AM;Tefferi A;Barbui T
Among 382 patients with WHO-defined prefibrotic myelofibrosis (pre-PMF) followed for a median of 6.9 years, fibrotic or leukemic transformation or death accounts for 15, 7, and 27% of cases, respectively. A multistate model was applied to analyze survival data taking into account intermediate states that are part of the clinical course of pre-PMF, including overt PMF and acute myeloid leukemia (AML). Within this multistate framework, multivariable models disclosed older age (>65 years) and leukocytosis (>15 × 109/L) as predictors of death and leukemic transformation. The risk factors for fibrotic progression included anemia and grade 1 bone marrow fibrosis. The outcome was further affected by high molecular risk (HMR) but not driver mutations. Direct transition to overt PMF, AML, or death occurred in 15.2, 4.7, and 17.3% of patients, respectively. The risk of AML was the highest in the first 5 years (7%), but leveled off thereafter. Conversely, the probability of death from overt PMF or AML increased more rapidly over time, especially when compared to death in the pre-PMF state without disease progression. The probability of being alive with pre-PMF status decreased to 70 and 30% at 10 and 20 years, respectively. This study highlights the aspects of the clinical course and estimates of disease progression in pre-PMF.
登录
查看更多内容
影响因子:
20.3
作者:
Vardiman, James W.;Thiele, Juergen;Bloomfield, Clara D.
通讯作者:
Bloomfield, Clara D.
影响因子:
3.7
作者:
Barosi G;Rosti V;Bonetti E;Campanelli R;Carolei A;Catarsi P;Isgrò AM;Lupo L;Massa M;Poletto V;Viarengo G;Villani L;Magrini U
通讯作者:
Magrini U
影响因子:
12.8
作者:
Barbui T;Thiele J;Gisslinger H;Kvasnicka HM;Vannucchi AM;Guglielmelli P;Orazi A;Tefferi A
通讯作者:
Tefferi A
影响因子:
6.3
作者:
AKAIKE, H
通讯作者:
AKAIKE, H
影响因子:
11.4
作者:
Vannucchi, A. M.;Lasho, T. L.;Tefferi, A.
通讯作者:
Tefferi, A.