Literature DB >> 27812251

Comparative Evaluation of Common Comorbidity Scores and Freiburger Comorbidity Index as Prognostic Variables in a Real Life Multiple Myeloma Population.

Birgul Onec1, Harika Okutan2, Murat Albayrak2, Esra Sarıbacak Can2, Vedat Aslan2, Ozge Soyer Kosemehmetoglu2, Basak Unver Koluman2.   

Abstract

Multiple myeloma (MM) is a disease of the geriatric population with a median age at diagnosis of 69 years but most clinicians consider performance status and comorbidities rather than chronological age in determining prognosis and treatment. The purpose of this study was to assess whether and which comorbidity indices predict survival in a real life population of MM. We calculated Charlson Comorbidity Index (CCI), age combined Charlson index (CCI-age), Hematopoietic cell transplantation-specific comorbidity index (HCT-SCI) and Freiburger comorbidity index (FCI) retrospectively for 66 MM patients and compared their impact on treatment responses and overall survival (OS). Treatment response was significantly worse in groups with high CCI, CCI-age, HCT-SCI scales (p < 0.05), but FCI's effect on treatment response was not significant. However, while no significant relationship was determined between other comorbidity indices with OS, it was related only with FCI-CI (p = 0.006). FCI, developed in this patient group, was the only prognostic index with a significant effect on OS in the evaluation of comorbidities in MM patients with different scores, but its relationship to treatment responses was not significant contrary to other indices. While this small patient group gave us hope regarding the use of FCI in practice, multi-center studies are still required.

Entities:  

Keywords:  Comorbidity scores; Freiburger comorbidity index; Multiple myeloma; Prognosis; Survival; Treatment response

Year:  2015        PMID: 27812251      PMCID: PMC5074956          DOI: 10.1007/s12288-015-0618-y

Source DB:  PubMed          Journal:  Indian J Hematol Blood Transfus        ISSN: 0971-4502            Impact factor:   0.900


  15 in total

1.  Impact of age, race and decade of treatment on overall survival in a critical population analysis of 40,000 multiple myeloma patients.

Authors:  Hakan Kaya; Benjamin Peressini; Irfan Jawed; Danko Martincic; Ameer L Elaimy; Wayne T Lamoreaux; Robert K Fairbanks; Kevin A Weeks; Christopher M Lee
Journal:  Int J Hematol       Date:  2011-12-09       Impact factor: 2.490

2.  Hematopoietic cell transplantation (HCT)-specific comorbidity index: a new tool for risk assessment before allogeneic HCT.

Authors:  Mohamed L Sorror; Michael B Maris; Rainer Storb; Frederic Baron; Brenda M Sandmaier; David G Maloney; Barry Storer
Journal:  Blood       Date:  2005-06-30       Impact factor: 22.113

3.  The importance of classifying initial co-morbidity in evaluating the outcome of diabetes mellitus.

Authors:  M H Kaplan; A R Feinstein
Journal:  J Chronic Dis       Date:  1974-09

4.  A new method of classifying prognostic comorbidity in longitudinal studies: development and validation.

Authors:  M E Charlson; P Pompei; K L Ales; C R MacKenzie
Journal:  J Chronic Dis       Date:  1987

5.  International staging system for multiple myeloma.

Authors:  Philip R Greipp; Jesus San Miguel; Brian G M Durie; John J Crowley; Bart Barlogie; Joan Bladé; Mario Boccadoro; J Anthony Child; Herve Avet-Loiseau; Jean-Luc Harousseau; Robert A Kyle; Juan J Lahuerta; Heinz Ludwig; Gareth Morgan; Raymond Powles; Kazuyuki Shimizu; Chaim Shustik; Pieter Sonneveld; Patrizia Tosi; Ingemar Turesson; Jan Westin
Journal:  J Clin Oncol       Date:  2005-04-04       Impact factor: 44.544

6.  Assessment of vulnerability measures and their effect on survival in a real-life population of multiple myeloma patients registered at Marche Region Multiple Myeloma Registry.

Authors:  Massimo Offidani; Laura Corvatta; Claudia Polloni; Riccardo Centurioni; Giuseppe Visani; Marino Brunori; Silvia Gentili; Massimo Catarini; Arduino Samori; Nicola Blasi; Francesco Alesiani; Patrizia Caraffa; Maurizio Burattini; Piero Galieni; Paolo Fraticelli; Mario Ferranti; Luciano Giuliodori; Pietro Leoni
Journal:  Clin Lymphoma Myeloma Leuk       Date:  2012-09-14

7.  Comorbidities and survival in a large cohort of patients with newly diagnosed myelodysplastic syndromes.

Authors:  Rong Wang; Cary P Gross; Stephanie Halene; Xiaomei Ma
Journal:  Leuk Res       Date:  2009-03-25       Impact factor: 3.156

8.  Validation of a combined comorbidity index.

Authors:  M Charlson; T P Szatrowski; J Peterson; J Gold
Journal:  J Clin Epidemiol       Date:  1994-11       Impact factor: 6.437

9.  Validation of the Freiburg Comorbidity Index in 466 multiple myeloma patients and combination with the international staging system are highly predictive for outcome.

Authors:  Martina Kleber; Gabriele Ihorst; Barbara Gross; Bernd Koch; Heike Reinhardt; Ralph Wäsch; Monika Engelhardt
Journal:  Clin Lymphoma Myeloma Leuk       Date:  2013-06-27

10.  Comorbidity as a prognostic variable in multiple myeloma: comparative evaluation of common comorbidity scores and use of a novel MM-comorbidity score.

Authors:  M Kleber; G Ihorst; M Terhorst; B Koch; B Deschler; R Wäsch; M Engelhardt
Journal:  Blood Cancer J       Date:  2011-09-16       Impact factor: 11.037

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