Literature DB >> 19605505

Comorbidity as prognostic variable in MDS: comparative evaluation of the HCT-CI and CCI in a core dataset of 419 patients of the Austrian MDS Study Group.

W R Sperr1, F Wimazal, M Kundi, C Baumgartner, T Nösslinger, A Makrai, R Stauder, O Krieger, M Pfeilstöcker, P Valent.   

Abstract

BACKGROUND: The evaluation of comorbidity is of increasing importance in patients with hematologic disorders. PATIENTS AND METHODS: In the present study, the influence of comorbidity on survival and acute myeloid leukemia (AML) evolution was analyzed retrospectively in 419 patients with de novo myelodysplastic syndromes (MDS) (observation period: 1985-2007). The median age was 71 years (range 24-91 years). Two different scoring systems, the hematopoietic stem-cell transplantation-specific comorbidity index (HCT-CI) and the Charlson comorbidity index (CCI) were applied.
RESULTS: The HCT-CI was found to be a significant prognostic factor for overall survival (OS, P < 0.05) as well as event-free survival (EFS, P < 0.05) in our patients, whereas the CCI was of prognostic significance for OS (P < 0.05), but not for EFS. For AML-free survival, neither the HCT-CI nor the CCI were of predictive value. A multivariate analysis including age, lactate dehydrogenase, ferritin, karyotype, number of cytopenias, French-American-British groups, and comorbidity was applied. Comorbidity was found to be an independent prognostic factor in patients with low- or int-1-risk MDS (P < 0.05) regarding OS and EFS.
CONCLUSIONS: Together, our data show that comorbidity is an important risk factor for OS and EFS in patients with MDS.

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Year:  2009        PMID: 19605505     DOI: 10.1093/annonc/mdp258

Source DB:  PubMed          Journal:  Ann Oncol        ISSN: 0923-7534            Impact factor:   32.976


  33 in total

Review 1.  Optimizing therapy for iron overload in the myelodysplastic syndromes: recent developments.

Authors:  Heather A Leitch
Journal:  Drugs       Date:  2011-01-22       Impact factor: 9.546

Review 2.  [Comorbidity oriented oncology - an overview].

Authors:  Ralph Simanek; Michael Wuensch; Roland Edlinger; Bernhard Hammerl-Ferrari; Ludwig Kramer; Klaus Geissler
Journal:  Wien Klin Wochenschr       Date:  2010-04       Impact factor: 1.704

3.  Validation of WHO classification-based Prognostic Scoring System (WPSS) for myelodysplastic syndromes and comparison with the revised International Prognostic Scoring System (IPSS-R). A study of the International Working Group for Prognosis in Myelodysplasia (IWG-PM).

Authors:  M G Della Porta; H Tuechler; L Malcovati; J Schanz; G Sanz; G Garcia-Manero; F Solé; J M Bennett; D Bowen; P Fenaux; F Dreyfus; H Kantarjian; A Kuendgen; A Levis; J Cermak; C Fonatsch; M M Le Beau; M L Slovak; O Krieger; M Luebbert; J Maciejewski; S M M Magalhaes; Y Miyazaki; M Pfeilstöcker; M A Sekeres; W R Sperr; R Stauder; S Tauro; P Valent; T Vallespi; A A van de Loosdrecht; U Germing; D Haase; P L Greenberg; M Cazzola
Journal:  Leukemia       Date:  2015-02-27       Impact factor: 11.528

4.  How I assess comorbidities before hematopoietic cell transplantation.

Authors:  Mohamed L Sorror
Journal:  Blood       Date:  2013-01-25       Impact factor: 22.113

5.  Myelodysplastic Syndromes in the Elderly: Treatment Options and Personalized Management.

Authors:  Sonja Burgstaller; Petra Wiesinger; Reinhard Stauder
Journal:  Drugs Aging       Date:  2015-11       Impact factor: 3.923

6.  The myelodysplastic syndrome-comorbidity index provides additional prognostic information on patients stratified according to the revised international prognostic scoring system.

Authors:  Esther Zipperer; Nina Tanha; Corinna Strupp; Andrea Kündgen; Kathrin Nachtkamp; Judith Neukirchen; Barbara Hildebrandt; Rainer Haas; Norbert Gattermann; Ulrich Germing
Journal:  Haematologica       Date:  2014-01-24       Impact factor: 9.941

7.  Revised international prognostic scoring system for myelodysplastic syndromes.

Authors:  Peter L Greenberg; Heinz Tuechler; Julie Schanz; Guillermo Sanz; Guillermo Garcia-Manero; Francesc Solé; John M Bennett; David Bowen; Pierre Fenaux; Francois Dreyfus; Hagop Kantarjian; Andrea Kuendgen; Alessandro Levis; Luca Malcovati; Mario Cazzola; Jaroslav Cermak; Christa Fonatsch; Michelle M Le Beau; Marilyn L Slovak; Otto Krieger; Michael Luebbert; Jaroslaw Maciejewski; Silvia M M Magalhaes; Yasushi Miyazaki; Michael Pfeilstöcker; Mikkael Sekeres; Wolfgang R Sperr; Reinhard Stauder; Sudhir Tauro; Peter Valent; Teresa Vallespi; Arjan A van de Loosdrecht; Ulrich Germing; Detlef Haase
Journal:  Blood       Date:  2012-06-27       Impact factor: 22.113

8.  Impact of the degree of anemia on the outcome of patients with myelodysplastic syndrome and its integration into the WHO classification-based Prognostic Scoring System (WPSS).

Authors:  Luca Malcovati; Matteo G Della Porta; Corinna Strupp; Ilaria Ambaglio; Andrea Kuendgen; Kathrin Nachtkamp; Erica Travaglino; Rosangela Invernizzi; Cristiana Pascutto; Mario Lazzarino; Ulrich Germing; Mario Cazzola
Journal:  Haematologica       Date:  2011-06-09       Impact factor: 9.941

9.  Comorbidity and performance status in acute myeloid leukemia patients: a nation-wide population-based cohort study.

Authors:  L S G Østgård; J M Nørgaard; H Sengeløv; M Severinsen; L S Friis; C W Marcher; I H Dufva; M Nørgaard
Journal:  Leukemia       Date:  2014-08-05       Impact factor: 11.528

Review 10.  Improving Prognostic Modeling in Myelodysplastic Syndromes.

Authors:  Aziz Nazha; Mikkael A Sekeres
Journal:  Curr Hematol Malig Rep       Date:  2016-12       Impact factor: 3.952

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