Literature DB >> 20594593

Evaluation of comorbidities at diagnosis predicts outcome in myelodysplastic syndrome patients.

Massimo Breccia1, Vincenzo Federico, Roberto Latagliata, Caterina Mercanti, Gianna Maria D'Elia, Laura Cannella, Giuseppina Loglisci, Adriano Salaroli, Michelina Santopietro, Giuliana Alimena.   

Abstract

Recent data suggest that proper assessment of comorbidities is useful to predict the outcome of MDS patients receiving allogeneic stem cell transplantation. However, the results obtained in this highly selected subset of patients cannot be applied to the whole MDS population. We evaluated the impact of comorbidities in 418 consecutive MDS patients diagnosed at our institute from 1992 to 2005. All patients were classified according to WHO criteria and all received only conservative and supportive treatment. One or more comorbidities were detected in 390 patients (93%) at the time of diagnosis, with a higher incidence in older patients. Cardiac diseases were the most frequent comorbidities (30%) while diabetes and correlated adverse events were the second cause of comorbidity (20%). We applied 3 comorbidity prognostic scores (CCI, HCT-CI and a MDS-CI score proposed by Della Porta et al.). According to CCI score, 253 patients had a score 0, 111 patients had a score 1 and 54 patients had a score >2. According to HCT-CI, 209 patients had a score 0, 105 patients had a score 1 and 106 patients had a score >2. With MDS-CI score, 288 patients had a score 0 and 129 patients had a score >1. We found a significant correlation between survival and stratification according to CCI and MDS-CI scores (p=0.01 and 0.02, respectively), but not according to HCT-CI score. The number of comorbidities as evaluated according to CCI was directly correlated to the development of RBC transfusion-dependency and was associated to a significantly higher risk of death not related to leukemic evolution (HR = 2.12, p ≤ 0.001). Conversely, higher risk of non-leukemic death did not correlate with higher transfusional requirement according to HCT-CI and MDS-CI scores (p = 0.3 and 0.43, respectively). As suggested by Della Porta et al., also in our experience the presence of cardiac, liver, renal, pulmonary diseases and solid tumours was found to independently affect the risk of death in a multivariable Cox regression analysis (p values from <0.01 to 0.004). In conclusion, assessment of comorbidities at diagnosis in MDS patients may improve the ability of therapeutic decisions.
Copyright © 2010 Elsevier Ltd. All rights reserved.

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Year:  2010        PMID: 20594593     DOI: 10.1016/j.leukres.2010.06.005

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


  14 in total

1.  Clinical evaluation of extra-hematologic comorbidity in myelodysplastic syndromes: ready-to-wear versus made-to-measure tool.

Authors:  Matteo G Della Porta; Ilaria Ambaglio; Marta Ubezio; Erica Travaglino; Cristiana Pascutto; Luca Malcovati
Journal:  Haematologica       Date:  2012-01-22       Impact factor: 9.941

2.  Features of Japanese patients with myelodysplastic syndrome in an aging population of Sado Island.

Authors:  Kumiko Yagisawa; Kiyoshi Okazuka; Ken Toba; Masaru Urushiyama; Takashi Kuroha; Noriko Izumi; Yasuhiko Sibasaki; Masutaka Higashimura; Toshio Yano; Akihito Momoi; Akira Hattori; Ken Momotsu; Yoshifusa Aizawa
Journal:  Int J Hematol       Date:  2012-02-24       Impact factor: 2.490

3.  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

4.  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

5.  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

6.  Multidisciplinary evaluation at baseline and during treatment improves the rate of compliance and efficacy of deferasirox in elderly myelodysplastic patients.

Authors:  Lisette Del Corso; Lucia Biale; Emanuele Luigi Parodi; Rodolfo Russo; Rosa Filiberti; Eleonora Arboscello
Journal:  Int J Clin Oncol       Date:  2016-10-22       Impact factor: 3.402

7.  Integrating patient-centered factors in the risk assessment of MDS.

Authors:  Rena J Buckstein
Journal:  Hematology Am Soc Hematol Educ Program       Date:  2019-12-06

8.  Comorbidities and malignancies negatively affect survival in myelodysplastic syndromes: a population-based study.

Authors:  Johanne Rozema; Mels Hoogendoorn; Robby Kibbelaar; Eva van den Berg; Nic Veeger; Eric van Roon
Journal:  Blood Adv       Date:  2021-03-09

9.  Evaluation of overall survival according to myelodysplastic syndrome-specific comorbidity index in a large series of myelodysplastic syndromes.

Authors:  Massimo Breccia; Vincenzo Federico; Giuseppina Loglisci; Adriano Salaroli; Alessandra Serrao; Giuliana Alimena
Journal:  Haematologica       Date:  2011-10       Impact factor: 9.941

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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