Literature DB >> 22981966

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.

Massimo Offidani1, 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.   

Abstract

UNLABELLED: Multiple myeloma (MM) therapy should be tailored according to patient characteristics although we do not know which ones to use. By studying the characteristics of 266 real-life patients, we found performance status (PS) and Charlson Comorbidity Index (CCI) as factors affecting survival of MM patients regardless of their disease characteristics. This study might help to select patients for tailoring therapy in clinical practice.
BACKGROUND: Multiple myeloma is a typical disease of the elderly but how many and which patients can be considered 'vulnerable' and how this may affect patient outcome remain unsolved issues. PATIENTS AND METHODS: Data from 266 symptomatic MM patients registered at Marche MM registry from 2007 to 2010 were evaluated retrospectively. Vulnerability was defined as age > 75 years, PS (World Health Organization) ≥ 2, renal insufficiency (RI), bone fracture, cytopenias, and CCI score ≥ 1. Kaplan-Meier method and Cox regression were used to assess survival and associated factors. A vulnerability score (VS) incorporating significant vulnerability features was pursued to predict survival.
RESULTS: Thirty-eight percent of patients were older than 75 years, 39% had PS = 2-4, 35% had at least 2 cytopenias, 40% had bone fracture, 14% RI, and 51% had CCI score ≥ 1. Cox regression selected international staging system (ISS) = III (hazard ratio [HR] = 1.6; P = .033), PS = 2-4 (HR = 2.5; P = .007), and CCI = 1-3 (HR = 2.1; P = .028) as factors associated with a worse overall survival. A VS including PS and CCI predicted median survival of 27 months in the 63 patients having a VS = 2 (both PS = 2-4 and CCI = 1-3) versus not reached (NR) in the 203 patients with VS = 0-1 (HR = 4.0; P < .0001). In younger patients multivariate analysis selected ISS = III (HR = 5.2; P = .006) and VS = 2 (HR = 5.5; P = .024) as factors associated with shorter survival whereas only VS = 2 (HR = 3.5; P = .002) affected worse survival in elderly.
CONCLUSION: Such VS proved to be a powerful prognostic factor for survival of MM patients and it might be useful to identify true vulnerable patients regardless of age.
Copyright © 2012 Elsevier Inc. All rights reserved.

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Year:  2012        PMID: 22981966     DOI: 10.1016/j.clml.2012.06.008

Source DB:  PubMed          Journal:  Clin Lymphoma Myeloma Leuk        ISSN: 2152-2669


  18 in total

Review 1.  International Myeloma Working Group recommendations for global myeloma care.

Authors:  H Ludwig; J S Miguel; M A Dimopoulos; A Palumbo; R Garcia Sanz; R Powles; S Lentzsch; W Ming Chen; J Hou; A Jurczyszyn; K Romeril; R Hajek; E Terpos; K Shimizu; D Joshua; V Hungria; A Rodriguez Morales; D Ben-Yehuda; P Sondergeld; E Zamagni; B Durie
Journal:  Leukemia       Date:  2013-10-09       Impact factor: 11.528

2.  Age and aging in blood disorders: multiple myeloma.

Authors:  Sonja Zweegman; Antonio Palumbo; Sara Bringhen; Pieter Sonneveld
Journal:  Haematologica       Date:  2014-07       Impact factor: 9.941

3.  Pleural effusion-based nomogram to predict outcomes in unselected patients with multiple myeloma: a large single center experience.

Authors:  Zi-Liang Hou; Yu Kang; Guang-Zhong Yang; Zhen Wang; Feng Wang; Yan-Xia Yu; Wen-Ming Chen; Huan-Zhong Shi
Journal:  Ann Hematol       Date:  2021-03-14       Impact factor: 3.673

4.  Geriatric assessment in multiple myeloma patients: validation of the International Myeloma Working Group (IMWG) score and comparison with other common comorbidity scores.

Authors:  Monika Engelhardt; Sandra Maria Dold; Gabriele Ihorst; Alexander Zober; Mandy Möller; Heike Reinhardt; Stefanie Hieke; Martin Schumacher; Ralph Wäsch
Journal:  Haematologica       Date:  2016-06-16       Impact factor: 9.941

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

Authors:  Birgul Onec; Harika Okutan; Murat Albayrak; Esra Sarıbacak Can; Vedat Aslan; Ozge Soyer Kosemehmetoglu; Basak Unver Koluman
Journal:  Indian J Hematol Blood Transfus       Date:  2015-11-16       Impact factor: 0.900

Review 6.  Expert Panel Consensus Statement for Proper Evaluation of First Relapse in Multiple Myeloma.

Authors:  M Offidani; M Boccadoro; F Di Raimondo; M T Petrucci; P Tosi; M Cavo
Journal:  Curr Hematol Malig Rep       Date:  2019-06       Impact factor: 3.952

7.  Treatment of older adult or frail patients with multiple myeloma.

Authors:  Shakira J Grant; Ciara L Freeman; Ashley E Rosko
Journal:  Hematology Am Soc Hematol Educ Program       Date:  2021-12-10

Review 8.  Management of multiple myeloma in older adults: Gaining ground with geriatric assessment.

Authors:  Tanya M Wildes; Erica Campagnaro
Journal:  J Geriatr Oncol       Date:  2016-04-23       Impact factor: 3.599

9.  Defining the vulnerable patient with myeloma-a frailty position paper of the European Myeloma Network.

Authors:  Gordon Cook; Alessandra Larocca; Thierry Facon; Sonja Zweegman; Monika Engelhardt
Journal:  Leukemia       Date:  2020-06-18       Impact factor: 11.528

10.  Geriatric-assessment-identified functional deficits among adults with multiple myeloma with normal performance status.

Authors:  Christopher E Jensen; Sanah N Vohra; Kirsten A Nyrop; Allison M Deal; Hyman B Muss; Eben I Lichtman; Samuel M Rubinstein; William A Wood; Nicholas J Mangieri; Lee Jamison; Shakira J Grant; Sascha A Tuchman
Journal:  J Geriatr Oncol       Date:  2021-08-11       Impact factor: 3.929

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