Cargando…

A multistate model of survival prediction and event monitoring in prefibrotic myelofibrosis

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Carobbio, Alessandra, Guglielmelli, Paola, Rumi, Elisa, Cavalloni, Chiara, De Stefano, Valerio, Betti, Silvia, Rambaldi, Alessandro, Finazzi, Maria Chiara, Thiele, Juergen, Vannucchi, Alessandro M., Tefferi, Ayalew, Barbui, Tiziano
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7566465/
https://www.ncbi.nlm.nih.gov/pubmed/33056979
http://dx.doi.org/10.1038/s41408-020-00368-1
_version_ 1783596138205544448
author Carobbio, Alessandra
Guglielmelli, Paola
Rumi, Elisa
Cavalloni, Chiara
De Stefano, Valerio
Betti, Silvia
Rambaldi, Alessandro
Finazzi, Maria Chiara
Thiele, Juergen
Vannucchi, Alessandro M.
Tefferi, Ayalew
Barbui, Tiziano
author_facet Carobbio, Alessandra
Guglielmelli, Paola
Rumi, Elisa
Cavalloni, Chiara
De Stefano, Valerio
Betti, Silvia
Rambaldi, Alessandro
Finazzi, Maria Chiara
Thiele, Juergen
Vannucchi, Alessandro M.
Tefferi, Ayalew
Barbui, Tiziano
author_sort Carobbio, Alessandra
collection PubMed
description 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 × 10(9)/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.
format Online
Article
Text
id pubmed-7566465
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Nature Publishing Group UK
record_format MEDLINE/PubMed
spelling pubmed-75664652020-10-19 A multistate model of survival prediction and event monitoring in prefibrotic myelofibrosis Carobbio, Alessandra Guglielmelli, Paola Rumi, Elisa Cavalloni, Chiara De Stefano, Valerio Betti, Silvia Rambaldi, Alessandro Finazzi, Maria Chiara Thiele, Juergen Vannucchi, Alessandro M. Tefferi, Ayalew Barbui, Tiziano Blood Cancer J Article 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 × 10(9)/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. Nature Publishing Group UK 2020-10-14 /pmc/articles/PMC7566465/ /pubmed/33056979 http://dx.doi.org/10.1038/s41408-020-00368-1 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Carobbio, Alessandra
Guglielmelli, Paola
Rumi, Elisa
Cavalloni, Chiara
De Stefano, Valerio
Betti, Silvia
Rambaldi, Alessandro
Finazzi, Maria Chiara
Thiele, Juergen
Vannucchi, Alessandro M.
Tefferi, Ayalew
Barbui, Tiziano
A multistate model of survival prediction and event monitoring in prefibrotic myelofibrosis
title A multistate model of survival prediction and event monitoring in prefibrotic myelofibrosis
title_full A multistate model of survival prediction and event monitoring in prefibrotic myelofibrosis
title_fullStr A multistate model of survival prediction and event monitoring in prefibrotic myelofibrosis
title_full_unstemmed A multistate model of survival prediction and event monitoring in prefibrotic myelofibrosis
title_short A multistate model of survival prediction and event monitoring in prefibrotic myelofibrosis
title_sort multistate model of survival prediction and event monitoring in prefibrotic myelofibrosis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7566465/
https://www.ncbi.nlm.nih.gov/pubmed/33056979
http://dx.doi.org/10.1038/s41408-020-00368-1
work_keys_str_mv AT carobbioalessandra amultistatemodelofsurvivalpredictionandeventmonitoringinprefibroticmyelofibrosis
AT guglielmellipaola amultistatemodelofsurvivalpredictionandeventmonitoringinprefibroticmyelofibrosis
AT rumielisa amultistatemodelofsurvivalpredictionandeventmonitoringinprefibroticmyelofibrosis
AT cavallonichiara amultistatemodelofsurvivalpredictionandeventmonitoringinprefibroticmyelofibrosis
AT destefanovalerio amultistatemodelofsurvivalpredictionandeventmonitoringinprefibroticmyelofibrosis
AT bettisilvia amultistatemodelofsurvivalpredictionandeventmonitoringinprefibroticmyelofibrosis
AT rambaldialessandro amultistatemodelofsurvivalpredictionandeventmonitoringinprefibroticmyelofibrosis
AT finazzimariachiara amultistatemodelofsurvivalpredictionandeventmonitoringinprefibroticmyelofibrosis
AT thielejuergen amultistatemodelofsurvivalpredictionandeventmonitoringinprefibroticmyelofibrosis
AT vannucchialessandrom amultistatemodelofsurvivalpredictionandeventmonitoringinprefibroticmyelofibrosis
AT tefferiayalew amultistatemodelofsurvivalpredictionandeventmonitoringinprefibroticmyelofibrosis
AT barbuitiziano amultistatemodelofsurvivalpredictionandeventmonitoringinprefibroticmyelofibrosis
AT carobbioalessandra multistatemodelofsurvivalpredictionandeventmonitoringinprefibroticmyelofibrosis
AT guglielmellipaola multistatemodelofsurvivalpredictionandeventmonitoringinprefibroticmyelofibrosis
AT rumielisa multistatemodelofsurvivalpredictionandeventmonitoringinprefibroticmyelofibrosis
AT cavallonichiara multistatemodelofsurvivalpredictionandeventmonitoringinprefibroticmyelofibrosis
AT destefanovalerio multistatemodelofsurvivalpredictionandeventmonitoringinprefibroticmyelofibrosis
AT bettisilvia multistatemodelofsurvivalpredictionandeventmonitoringinprefibroticmyelofibrosis
AT rambaldialessandro multistatemodelofsurvivalpredictionandeventmonitoringinprefibroticmyelofibrosis
AT finazzimariachiara multistatemodelofsurvivalpredictionandeventmonitoringinprefibroticmyelofibrosis
AT thielejuergen multistatemodelofsurvivalpredictionandeventmonitoringinprefibroticmyelofibrosis
AT vannucchialessandrom multistatemodelofsurvivalpredictionandeventmonitoringinprefibroticmyelofibrosis
AT tefferiayalew multistatemodelofsurvivalpredictionandeventmonitoringinprefibroticmyelofibrosis
AT barbuitiziano multistatemodelofsurvivalpredictionandeventmonitoringinprefibroticmyelofibrosis