Literature DB >> 21149668

DIPSS plus: a refined Dynamic International Prognostic Scoring System for primary myelofibrosis that incorporates prognostic information from karyotype, platelet count, and transfusion status.

Naseema Gangat1, Domenica Caramazza, Rakhee Vaidya, Geeta George, Kebede Begna, Susan Schwager, Daniel Van Dyke, Curtis Hanson, Wenting Wu, Animesh Pardanani, Francisco Cervantes, Francesco Passamonti, Ayalew Tefferi.   

Abstract

PURPOSE: The Dynamic International Prognostic Scoring System (DIPSS) for primary myelofibrosis (PMF) uses five risk factors to predict survival: age older than 65 years, hemoglobin lower than 10 g/dL, leukocytes higher than 25 × 10(9)/L, circulating blasts ≥ 1%, and constitutional symptoms. The main objective of this study was to refine DIPSS by incorporating prognostic information from karyotype, platelet count, and transfusion status. PATIENTS AND METHODS: Mayo Clinic databases for PMF were used to identify patients with available bone marrow histologic and cytogenetic information.
RESULTS: Seven hundred ninety-three consecutive patients were selected and divided into two groups based on whether or not their referral occurred within (n = 428; training set) or after (n = 365; test set) 1 year of diagnosis. Multivariable analysis identified DIPSS, unfavorable karyotype, platelets lower than 100 × 10(9)/L, and transfusion need as independent predictors of inferior survival. Hazard ratio (HR)-weighted adverse points were assigned to these variables to develop a composite prognostic model using the training set. The model was subsequently validated in the test set, and its application to all 793 patients resulted in median survivals of 185, 78, 35, and 16 months for low, intermediate-1 (HR, 2.2; 95% CI, 1.4 to 3.6), intermediate-2 (HR, 4.9; 95% CI, 3.2 to 7.7), and high-risk groups (HR, 10.7; 95% CI, 6.8 to 16.9), respectively (P < .001). Leukemia-free survival was predicted by the presence of thrombocytopenia or unfavorable karyotype (10-year risk of 31% v 12%; HR, 3.3; 95% CI, 1.9 to 5.6).
CONCLUSION: DIPSS plus effectively combines prognostic information from DIPSS, karyotype, platelet count, and transfusion status to predict overall survival in PMF. In addition, unfavorable karyotype or thrombocytopenia predicts inferior leukemia-free survival.

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Year:  2010        PMID: 21149668     DOI: 10.1200/JCO.2010.32.2446

Source DB:  PubMed          Journal:  J Clin Oncol        ISSN: 0732-183X            Impact factor:   44.544


  293 in total

1.  Prognostication in primary myelofibrosis.

Authors:  Francisco Cervantes; Arturo Pereira
Journal:  Curr Hematol Malig Rep       Date:  2012-03       Impact factor: 3.952

2.  Dynamic International Prognostic Scoring System scores, pre-transplant therapy and chronic graft-versus-host disease determine outcome after allogeneic hematopoietic stem cell transplantation for myelofibrosis.

Authors:  Markus Ditschkowski; Ahmet H Elmaagacli; Rudolf Trenschel; Tanja Gromke; Nina K Steckel; Michael Koldehoff; Dietrich W Beelen
Journal:  Haematologica       Date:  2012-04-04       Impact factor: 9.941

3.  Prognostic relevance of anemia and transfusion dependency in myelodysplastic syndromes and primary myelofibrosis.

Authors:  Animesh Pardanani; Ayalew Tefferi
Journal:  Haematologica       Date:  2011-01       Impact factor: 9.941

4.  The number of prognostically detrimental mutations and prognosis in primary myelofibrosis: an international study of 797 patients.

Authors:  P Guglielmelli; T L Lasho; G Rotunno; J Score; C Mannarelli; A Pancrazzi; F Biamonte; A Pardanani; K Zoi; A Reiter; A Duncombe; T Fanelli; D Pietra; E Rumi; C Finke; N Gangat; R P Ketterling; R A Knudson; C A Hanson; A Bosi; A Pereira; R Manfredini; F Cervantes; G Barosi; M Cazzola; N C P Cross; A M Vannucchi; A Tefferi
Journal:  Leukemia       Date:  2014-02-19       Impact factor: 11.528

Review 5.  Janus kinase inhibitors and allogeneic stem cell transplantation for myelofibrosis.

Authors:  Vikas Gupta; Jason Gotlib; Jerald P Radich; Nicolaus M Kröger; Damiano Rondelli; Srdan Verstovsek; H Joachim Deeg
Journal:  Biol Blood Marrow Transplant       Date:  2014-03-27       Impact factor: 5.742

6.  Discrepancy in diagnosis of primary myelofibrosis between referral and tertiary care centers.

Authors:  Cecilia Arana Yi; Ghayathri Jeyakumar; Pedro Medina; Jorge Cortes; Sherry Pierce; Carlos Bueso-Ramos; Hagop Kantarjian; Srdan Verstovsek
Journal:  Leuk Res       Date:  2013-11-13       Impact factor: 3.156

Review 7.  Extramedullary blastic transformation of primary myelofibrosis in the form of disseminated myeloid sarcoma: a case report and review of the literature.

Authors:  Giacomo Coltro; Francesco Mannelli; Federica Vergoni; Raffaella Santi; Daniela Massi; Luisa Margherita Siliani; Antonella Marzullo; Stefania Bonifacio; Elisabetta Pelo; Annalisa Pacilli; Chiara Paoli; Annalisa Franci; Laura Calabresi; Alberto Bosi; Alessandro Maria Vannucchi; Paola Guglielmelli
Journal:  Clin Exp Med       Date:  2020-02-17       Impact factor: 3.984

8.  Results of a phase 2 study of pacritinib (SB1518), a JAK2/JAK2(V617F) inhibitor, in patients with myelofibrosis.

Authors:  Rami S Komrokji; John F Seymour; Andrew W Roberts; Martha Wadleigh; L Bik To; Robyn Scherber; Elyce Turba; Andrew Dorr; Joy Zhu; Lixia Wang; Tanya Granston; Mary S Campbell; Ruben A Mesa
Journal:  Blood       Date:  2015-03-11       Impact factor: 22.113

Review 9.  Molecular classification of myeloproliferative neoplasms-pros and cons.

Authors:  Moosa Qureshi; Claire Harrison
Journal:  Curr Hematol Malig Rep       Date:  2013-12       Impact factor: 3.952

Review 10.  Prognosis of Primary Myelofibrosis in the Genomic Era.

Authors:  Prithviraj Bose; Srdan Verstovsek
Journal:  Clin Lymphoma Myeloma Leuk       Date:  2016-08
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