Literature DB >> 15120935

Factors influencing survival in myelodysplastic syndromes in a Brazilian population: comparison of FAB and WHO classifications.

Irene Lorand-Metze1, Mariana P Pinheiro, Elisangela Ribeiro, Erich V de Paula, Konradin Metze.   

Abstract

The WHO classification for myelodysplastic syndromes (MDS) has introduced new categories with prognostic relevance. Our aim was to examine the predictive value of the WHO and the FAB classification compared to parameters of peripheral blood, bone marrow and IPSS. Clinical data, peripheral blood counts, bone marrow (BM) cytology and histology and survival were analyzed in consecutive newly diagnosed adult patients with MDS. All cases were diagnosed according to FAB criteria and reclassified by the WHO proposal. Among 150 patients entering the study median age was 58 years (12-90). According to FAB, 90 patients had refractory anemia (RA), 18 sideroblastic anemia, 34 refractory anemia with excess of blasts (RAEB), three RAEB-t and five chronic myelomonocytic leukemia. Using the WHO proposal, one half of the patients with RA changed category. One patient had the 5q-syndrome. There were 25 cases with refractory cytopenias with multilineage dysplasia (RCMD) and 23 WHO "unclassified". These last patients presented few cell atypias, favorable IPSS and a good survival as has been described for refractory cytopenias in pediatric MDS. Hypocellular BM was found in 24% of the patients. Karyotype was available in only 85 cases. In the univariate analysis, both classifications, hemoglobin values, hypercellular bone marrow and IPSS had an influence on survival. Using the bootstrap resampling as stability test for the model created by the multivariate analysis, the WHO classification entered the model in 73%, FAB in 38% and IPSS in only 7%. Therefore, in a setting with a high number of low-risk MDS, the WHO classification is the best predictor of survival of the patients.

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Year:  2004        PMID: 15120935     DOI: 10.1016/j.leukres.2003.11.001

Source DB:  PubMed          Journal:  Leuk Res        ISSN: 0145-2126            Impact factor:   3.156


  9 in total

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Authors:  Rami S Komrokji; John M Bennett
Journal:  Curr Hematol Malig Rep       Date:  2006-03       Impact factor: 3.952

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Authors:  Daniela P Ferro; Monica A Falconi; Randall L Adam; Manoela M Ortega; Carmen P Lima; Carmino A de Souza; Irene Lorand-Metze; Konradin Metze
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6.  Computerized texture analysis of atypical immature myeloid precursors in patients with myelodysplastic syndromes: an entity between blasts and promyelocytes.

Authors:  Joyce R Vido; Randall L Adam; Irene G H Lorand-Metze; Konradin Metze
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7.  Improving the differential diagnosis between myelodysplastic syndromes and reactive peripheral cytopenias by multiparametric flow cytometry: the role of B-cell precursors.

Authors:  Suiellen C Reis-Alves; Fabiola Traina; Konradin Metze; Irene Lorand-Metze
Journal:  Diagn Pathol       Date:  2015-04-29       Impact factor: 2.644

8.  Part 2: Myelodysplastic syndromes - classification systems.

Authors:  Irene Lorand-Metze; Lígia Niero-Melo; Renata Buzzini; Wanderley Marques Bernardo
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9.  Immunophenotyping in myelodysplastic syndromes can add prognostic information to well-established and new clinical scores.

Authors:  Suiellen C Reis-Alves; Fabíola Traina; Guilherme Harada; Paula M Campos; Sara T O Saad; Konradin Metze; Irene Lorand-Metze
Journal:  PLoS One       Date:  2013-12-06       Impact factor: 3.240

  9 in total

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