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Prognostic factors in chronic myelodysplastic syndromes: A multivariate analysis in 107 cases
Author(s) -
García Sonia,
Sanz Miguel A.,
Amigo Victoria,
Colomina Pedro,
Carrera M. Dolores,
Lorenzo J. Ignacio,
Sanz Guillermo F.
Publication year - 1988
Publication title -
american journal of hematology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.456
H-Index - 105
eISSN - 1096-8652
pISSN - 0361-8609
DOI - 10.1002/ajh.2830270303
Subject(s) - multivariate statistics , multivariate analysis , univariate , myelodysplastic syndromes , medicine , univariate analysis , hemoglobin , oncology , regression analysis , mean platelet volume , retrospective cohort study , predictive value , platelet , gastroenterology , immunology , statistics , bone marrow , mathematics
A retrospective multivariate analysis of 37 clinical, biochemical, and hematological data was performed in 107 cases of primary myelodisplastic syndromes (MDS) in order to recognize their prognostic significance. The most important individual variables, isolated in a previous univariate analysis, were placed in a multiple regression modeling procedure to identify major significant prognostic factors. Multivariate analysis tends to identify prognostic variables containing significant independent predictive information. Characteristics were examined on both continuous and binary bases. The FAB classification was the first parameter entered in regression equations on both models, followed by platelet count, hemoglobin level, and circulating erythroblasts in the binary model, and by hemoglobin level, systemic symptoms, platelet count, age, and dyserythropoiesis in the continuous model. Our analysis confirms FAB classification as the main prognostic factor in MDS, supports the previously noted predictive value of platelet count, hemoglobin level, and age, and recognises the importance of circulating erythroblasts, systemic symptoms, and dyserythropoiesis as prognostic characteristics in MDS.