Health-related quality of life in lower-risk MDS patients compared with age- and sex-matched reference populations: a European LeukemiaNet study

. 2018 Jun ; 32 (6) : 1380-1392. [epub] 20180306

Jazyk angličtina Země Anglie, Velká Británie Médium print-electronic

Typ dokumentu srovnávací studie, časopisecké články, práce podpořená grantem

Perzistentní odkaz   https://www.medvik.cz/link/pmid29572506

Grantová podpora
I 1576 Austrian Science Fund FWF - Austria

Odkazy

PubMed 29572506
PubMed Central PMC5990524
DOI 10.1038/s41375-018-0089-x
PII: 10.1038/s41375-018-0089-x
Knihovny.cz E-zdroje

In myelodysplastic syndromes (MDS), health-related quality of life (HRQoL) represents a relevant patient-reported outcome, which is essential in individualized therapy planning. Prospective data on HRQoL in lower-risk MDS remain rare. We assessed HRQOL by EQ-5D questionnaire at initial diagnosis in 1690 consecutive IPSS-Low/Int-1 MDS patients from the European LeukemiaNet Registry. Impairments were compared with age- and sex-matched EuroQol Group norms. A significant proportion of MDS patients reported moderate/severe problems in the dimensions pain/discomfort (49.5%), mobility (41.0%), anxiety/depression (37.9%), and usual activities (36.1%). Limitations in mobility, self-care, usual activities, pain/discomfort, and EQ-VAS were significantly more frequent in the old, in females, and in those with high co-morbidity burden, low haemoglobin levels, or red blood cells transfusion need (p < 0.001). In comparison to age- and sex-matched peers, the proportion of problems in usual activities and anxiety/depression was significantly higher in MDS patients (p < 0.001). MDS-related restrictions in the dimension mobility were most prominent in males, and in older people (p < 0.001); in anxiety/depression in females and in younger people (p < 0.001); and in EQ-VAS in women and in persons older than 75 years (p < 0.05). Patients newly diagnosed with IPSS lower-risk MDS experience a pronounced reduction in HRQoL and a clustering of restrictions in distinct dimensions of HRQoL as compared with reference populations.

Center of Hematology and Bone Marrow Transplantation Fundeni Clinical Institute Bucharest Romania

CIBERONC Instituto Carlos 3 Madrid Spain

Clinic of Hematology Clinical Center of Vojvodina University of Novi Sad Novi Sad Serbia

Department of Clinical Hematology Institute of Hematology and Blood Transfusion Praha Czech Republic

Department of Hematology Aarhus University Hospital Aarhus Denmark

Department of Hematology Hospital Universitario y Politécnico La Fe Valencia Spain

Department of Hematology Oncology and Clinical Immunology Universitätsklinik Düsseldorf Düsseldorf Germany

Department of Hematology Oncology and Internal Medicine Warszawa Medical University Warszawa Poland

Department of Hematology Oncology Fondazione IRCCS Policlinico San Matteo University of Pavia Pavia Italy

Department of Hematology Radboud University Medical Center Nijmegen Netherlands

Department of Internal Medicine 5 Medical University Innsbruck Innsbruck Austria

Department of Medicine A Tel Aviv Sourasky Medical Center and Sackler Medical Faculty Tel Aviv University Tel Aviv Israel

Department of Medicine Division of Hematology Karolinska Institutet Stockholm Sweden

Department of Medicine Division of Hematology University of Patras Medical School Patras Greece

Department of Tumor Immunology Nijmegen Center for Molecular Life Sciences Radboud University Medical Center Nijmegen Netherlands

Epidemiology and Cancer Statistics Group Department of Health Sciences University of York New York United Kingdom

Fondazione GIMEMA Onlus Rome Italy

Service d'Hématologie Center Hospitalier Universitaire Brabois Vandoeuvre Nancy France

Service d'Hématologie Hôpital Saint Louis Assistance Publique des Hôpitaux de Paris and Université Paris 7 Paris France

Servicio d'Hematología Servicio de Salud del Principado de Asturias Oviedo Oviedo Spain

St James's Institute of Oncology Leeds Teaching Hospitals Leeds United Kingdom

Zobrazit více v PubMed

Malcovati L, Hellstrom-Lindberg E, Bowen D, Ades L, Cermak J, Del Canizo C, et al. Diagnosis and treatment of primary myelodysplastic syndromes in adults: recommendations from the European LeukemiaNet. Blood. 2013;122:2943–64. doi: 10.1182/blood-2013-03-492884. PubMed DOI PMC

Greenberg P, Cox C, LeBeau MM, Fenaux P, Morel P, Sanz G, et al. International scoring system for evaluating prognosis in myelodysplastic syndromes. Blood. 1997;89:2079–88. PubMed

Greenberg PL, Tuechler H, Schanz J, Sanz G, Garcia-Manero G, Sole F, et al. Revised international prognostic scoring system for myelodysplastic syndromes. Blood. 2012;120:2454–65. doi: 10.1182/blood-2012-03-420489. PubMed DOI PMC

Wildiers H, Heeren P, Puts M, Topinkova E, Janssen-Heijnen ML, Extermann M, et al. International Society of Geriatric Oncology consensus on geriatric assessment in older patients with cancer. J Clin Oncol. 2014;32:2595–603. doi: 10.1200/JCO.2013.54.8347. PubMed DOI PMC

Bottomley A, Pe M, Sloan J, Basch E, Bonnetain F, Calvert M, et al. Analysing data from patient-reported outcome and quality of life endpoints for cancer clinical trials: a start in setting international standards. Lancet Oncol. 2016;17:e510–4. doi: 10.1016/S1470-2045(16)30510-1. PubMed DOI

Patel SS, Gerds AT. Patient-reported outcomes in myelodysplastic syndromes and MDS/MPN overlap syndromes: stepping onto the stage with changing times. Curr Hematol Malig Rep. 2017;12:455–60. PubMed

Steensma DP, Heptinstall KV, Johnson VM, Novotny PJ, Sloan JA, Camoriano JK, et al. Common troublesome symptoms and their impact on quality of life in patients with myelodysplastic syndromes (MDS): results of a large internet-based survey. Leuk Res. 2008;32:691–8. doi: 10.1016/j.leukres.2007.10.015. PubMed DOI

Efficace F, Gaidano G, Breccia M, Criscuolo M, Cottone F, Caocci G, et al. Prevalence, severity and correlates of fatigue in newly diagnosed patients with myelodysplastic syndromes. Br J Haematol. 2015;168:361–70. doi: 10.1111/bjh.13138. PubMed DOI

Efficace F, Gaidano G, Breccia M, Voso MT, Cottone F, Angelucci E, et al. Prognostic value of self-reported fatigue on overall survival in patients with myelodysplastic syndromes: a multicentre, prospective, observational, cohort study. Lancet Oncol. 2015;16:1506–14. doi: 10.1016/S1470-2045(15)00206-5. PubMed DOI

Deschler B, Ihorst G, Platzbecker U, Germing U, Marz E, de Figuerido M, et al. Parameters detected by geriatric and quality of life assessment in 195 older patients with myelodysplastic syndromes and acute myeloid leukemia are highly predictive for outcome. Haematol. 2013;98:208–16. doi: 10.3324/haematol.2012.067892. PubMed DOI PMC

Buckstein R, Wells RA, Zhu N, Leitch HA, Nevill TJ, Yee KW, et al. Patient-related factors independently impact overall survival in patients with myelodysplastic syndromes: an MDS-CAN prospective study. Br J Haematol. 2016;174:88–101. doi: 10.1111/bjh.14033. PubMed DOI

Efficace F, Cottone F, Abel G, Niscola P, Gaidano G, Bonnetain F, et al. Patient-reported outcomes enhance the survival prediction of traditional disease risk classifications: an international study in patients with myelodysplastic syndromes. Cancer. 10.1002/cncr.3119, 2017. PubMed

Cannella L, Caocci G, Jacobs M, Vignetti M, Mandelli F, Efficace F. Health-related quality of life and symptom assessment in randomized controlled trials of patients with leukemia and myelodysplastic syndromes: What have we learned? Crit Rev Oncol Hematol. 2015;96:542–54. doi: 10.1016/j.critrevonc.2015.07.012. PubMed DOI

Cheson BD, Bennett JM, Kantarjian H, Pinto A, Schiffer CA, Nimer SD, et al. Report of an international working group to standardize response criteria for myelodysplastic syndromes. Blood. 2000;96:3671–4. PubMed

Dueck AC, Mendoza TR, Mitchell SA, Reeve BB, Castro KM, Rogak LJ, et al. Validity and reliability of the US National Cancer Institute’s Patient-Reported Outcomes Version of the Common Terminology Criteria for Adverse Events (PRO-CTCAE) JAMA Oncol. 2015;1:1051–9. doi: 10.1001/jamaoncol.2015.2639. PubMed DOI PMC

Jansen AJ, Essink-Bot ML, Beckers EA, Hop WC, Schipperus MR, Van Rhenen DJ. Quality of life measurement in patients with transfusion-dependent myelodysplastic syndromes. Br J Haematol. 2003;121:270–4. doi: 10.1046/j.1365-2141.2003.04272.x. PubMed DOI

Hellstrom-Lindberg E, Gulbrandsen N, Lindberg G, Ahlgren T, Dahl IMS, Dybedal I, et al. A validated decision model for treating the anaemia of myelodysplastic syndromes with erythropoietin plus granulocyte colony-stimulating factor: significant effects on quality of life. Br J Haematol. 2003;120:1037–46. doi: 10.1046/j.1365-2141.2003.04153.x. PubMed DOI

Abel GA, Efficace F, Buckstein RJ, Tinsley S, Jurcic JG, Martins Y, et al. Prospective international validation of the Quality of Life in Myelodysplasia Scale (QUALMS) Haematol. 2016;101:781–8. doi: 10.3324/haematol.2015.140335. PubMed DOI PMC

Fega KR, Abel GA, Motyckova G, Sherman AE, DeAngelo DJ, Steensma DP, et al. Non-hematologic predictors of mortality improve the prognostic value of the international prognostic scoring system for MDS in older adults. J Geriatr Oncol. 2015;6:288–98. doi: 10.1016/j.jgo.2015.05.003. PubMed DOI PMC

Oliva EN, Finelli C, Santini V, Poloni A, Liso V, Cilloni D, et al. Quality of life and physicians’ perception in myelodysplastic syndromes. Am J Blood Res. 2012;2:136–47. PubMed PMC

de Swart L, Smith A, Johnston TW, Haase D, Droste J, Fenaux P, et al. Validation of the revised international prognostic scoring system (IPSS-R) in patients with lower-risk myelodysplastic syndromes: a report from the prospective European LeukaemiaNet MDS (EUMDS) registry. Br J Haematol. 2015;170:372–83. doi: 10.1111/bjh.13450. PubMed DOI

Brooks R. EuroQol: the current state of play. Health Policy. 1996;37:53–72. doi: 10.1016/0168-8510(96)00822-6. PubMed DOI

Greiner W, Weijnen T, Nieuwenhuizen M, Oppe S, Badia X, Busschbach J, et al. A single European currency for EQ-5D health states. Results from a six-country study. Eur J Health Econ. 2003;4:222–31. doi: 10.1007/s10198-003-0182-5. PubMed DOI

Langelaan M, de Boer MR, van Nispen RM, Wouters B, Moll AC, van Rens GH. Impact of visual impairment on quality of life: a comparison with quality of life in the general population and with other chronic conditions. Ophthalmic Epidemiol. 2007;14:119–26. doi: 10.1080/09286580601139212. PubMed DOI

Szende A, Williams A. Measuring self-reported population health—an International Perspective based on EQ-5D. EuroQol Group, 2012. PubMed

Lubetkin EI, Jia H, Franks P, Gold MR. Relationship among sociodemographic factors, clinical conditions, and health-related quality of life: examining the EQ-5D in the U.S. general population. Qual Life Res. 2005;14:2187–96. doi: 10.1007/s11136-005-8028-5. PubMed DOI

Jaeschke R, Singer J, Guyatt GH. Measurement of health status. Ascertaining the minimal clinically important difference. Control Clin Trials. 1989;10:407–15. doi: 10.1016/0197-2456(89)90005-6. PubMed DOI

Pickard AS, Jiang R, Lin HW, Rosenbloom S, Cella D. Using patient-reported outcomes to compare relative burden of cancer: EQ-5D and functional assessment of cancer therapy-general in eleven types of cancer. Clin Ther. 2016;38:769–77. doi: 10.1016/j.clinthera.2016.03.009. PubMed DOI

Frosch ZA, Abel GA. Assessing quality of care for the myelodysplastic syndromes. Curr Hematol Malig Rep. 2016;11:402–7. doi: 10.1007/s11899-016-0343-0. PubMed DOI

Burgstaller S, Wiesinger P, Stauder R. Myelodysplastic syndromes in the elderly: treatment options and personalized management. Drugs Aging. 2015;32:891–905. doi: 10.1007/s40266-015-0312-7. PubMed DOI

Efficace F, Breccia M, Cottone F, Okumura I, Doro M, Riccardi F, et al. Psychological well-being and social support in chronic myeloid leukemia patients receiving lifelong targeted therapies. Support Care Cancer. 2016;24:4887–94. doi: 10.1007/s00520-016-3344-6. PubMed DOI

Wang XS, Cleeland CS, Mendoza TR, Yun YH, Wang Y, Okuyama T, et al. Impact of cultural and linguistic factors on symptom reporting by patients with cancer. J Natl Cancer Inst. 2010;102:732–8. doi: 10.1093/jnci/djq097. PubMed DOI PMC

Valentiny C, Kemmler G, Stauder R. Age, sex and gender impact multidimensional geriatric assessment in elderly cancer patients. J Geriatr Oncol. 2012;3:17–23. doi: 10.1016/j.jgo.2011.10.001. DOI

Hamaker ME, Mitrovic M, Stauder R. The G8 screening tool detects relevant geriatric impairments and predicts survival in elderly patients with a haematological malignancy. Ann Hematol. 2014;93:1031–40. doi: 10.1007/s00277-013-2001-0. PubMed DOI

Abel GA, Klaassen R, Lee SJ, Young NL, Cannella L, Steensma DP, et al. Patient-reported outcomes for the myelodysplastic syndromes: a new MDS-specific measure of quality of life. Blood. 2014;123:451–2. doi: 10.1182/blood-2013-11-540021. PubMed DOI

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