Your browser doesn't support javascript.
loading
Determinants of low health-related quality of life in patients with myelodysplastic syndromes: EUMDS Registry study.
Stojkov, Igor; Conrads-Frank, Annette; Rochau, Ursula; Arvandi, Marjan; Koinig, Karin A; Schomaker, Michael; Mittelman, Moshe; Fenaux, Pierre; Bowen, David; Sanz, Guillermo F; Malcovati, Luca; Langemeijer, Saskia; Germing, Ulrich; Madry, Krzysztof; Guerci-Bresler, Agnès; Culligan, Dominic J; Kotsianidis, Ioannis; Sanhes, Laurence; Mills, Juliet; Puntscher, Sibylle; Schmid, Daniela; van Marrewijk, Corine; Smith, Alexandra; Efficace, Fabio; de Witte, Theo; Stauder, Reinhard; Siebert, Uwe.
Afiliación
  • Stojkov I; Institute of Public Health, Medical Decision Making and Health Technology Assessment, Department of Public Health, Health Services Research and Health Technology Assessment, UMIT - University for Health Sciences, Medical Informatics and Technology, Hall in Tirol, Austria.
  • Conrads-Frank A; Institute of Public Health, Medical Decision Making and Health Technology Assessment, Department of Public Health, Health Services Research and Health Technology Assessment, UMIT - University for Health Sciences, Medical Informatics and Technology, Hall in Tirol, Austria.
  • Rochau U; Institute of Public Health, Medical Decision Making and Health Technology Assessment, Department of Public Health, Health Services Research and Health Technology Assessment, UMIT - University for Health Sciences, Medical Informatics and Technology, Hall in Tirol, Austria.
  • Arvandi M; Institute of Public Health, Medical Decision Making and Health Technology Assessment, Department of Public Health, Health Services Research and Health Technology Assessment, UMIT - University for Health Sciences, Medical Informatics and Technology, Hall in Tirol, Austria.
  • Koinig KA; Department of Internal Medicine V (Hematology and Oncology), Innsbruck Medical University, Innsbruck, Austria.
  • Schomaker M; Institute of Public Health, Medical Decision Making and Health Technology Assessment, Department of Public Health, Health Services Research and Health Technology Assessment, UMIT - University for Health Sciences, Medical Informatics and Technology, Hall in Tirol, Austria.
  • Mittelman M; Centre for Infectious Disease Epidemiology and Research, University of Cape Town, Cape Town, South Africa.
  • Fenaux P; Department of Medicine A, Tel Aviv Sourasky (Ichilov) Medical Center and Sackler Medical Faculty, Tel Aviv University, Tel Aviv, Israel.
  • Bowen D; Service d'Hématologie Séniors, Hôpital Saint-Louis, Assistance Publique des Hôpitaux de Paris and Université Paris 7, Paris, France.
  • Sanz GF; St. James's Institute of Oncology, Leeds Teaching Hospitals, Leeds, United Kingdom.
  • Malcovati L; Department of Haematology, Hospital Universitario y Politécnico La Fe, Valencia, Spain.
  • Langemeijer S; Centro de Investigación Biomédica en Red de Cáncer, CIBERONC, Instituto de Salud Carlos III, Madrid, Spain.
  • Germing U; Department of Hematology Oncology, Fondazione IRCCS Policlinico San Matteo, University of Pavia, Pavia, Italy.
  • Madry K; Department of Hematology, Radboud University Medical Center, Nijmegen, The Netherlands.
  • Guerci-Bresler A; Department of Haematology, Oncology and Clinical Immunology, Universitätsklinik Düsseldorf, Düsseldorf, Germany.
  • Culligan DJ; Department of Haematology, Oncology and Internal Medicine, Warszawa Medical University, Warsaw, Poland.
  • Kotsianidis I; Service d'Hématologie Clinique, Centre Hospitalier Universitaire Brabois, Nancy, France.
  • Sanhes L; Department of Haematology, Aberdeen Royal Infirmary, Aberdeen, United Kingdom.
  • Mills J; Department of Hematology, Democritus University of Thrace, University Hospital of Alexandroupolis, Alexandroupolis, Greece.
  • Puntscher S; Haematology Department of Perpignan, Saint Jean Hospital, Perpignan, France.
  • Schmid D; Worcestershire Acute Hospitals NHS Trust and University Hospitals Birmingham NHS Foundation Trust, Worcester, United Kingdom.
  • van Marrewijk C; Institute of Public Health, Medical Decision Making and Health Technology Assessment, Department of Public Health, Health Services Research and Health Technology Assessment, UMIT - University for Health Sciences, Medical Informatics and Technology, Hall in Tirol, Austria.
  • Smith A; Division for Quantitative Methods in Public Health and Health Services Research, Department of Public Health, Health Services Research and Health Technology Assessment, UMIT - University for Health Sciences, Medical Informatics and Technology, Hall in Tirol, Austria.
  • Efficace F; Department of Hematology, Radboud University Medical Center, Nijmegen, The Netherlands.
  • de Witte T; Epidemiology and Cancer Statistics Group, Department of Health Sciences, University of York, York, United Kingdom.
  • Stauder R; Health Outcomes Research Unit, Gruppo Italiano Malattie Ematologiche dell'Adulto (GIMEMA), Rome, Italy.
  • Siebert U; Department of Tumor Immunology - Nijmegen Center for Molecular Life Sciences, Radboud University Medical Center, Nijmegen, The Netherlands.
Blood Adv ; 7(12): 2772-2783, 2023 06 27.
Article en En | MEDLINE | ID: mdl-36607832
ABSTRACT
Patients with myelodysplastic syndromes (MDS) frequently experience a significant symptom burden, which reduces health-related quality of life (HRQoL). We aimed to identify determinants of low HRQoL in patients recently diagnosed with MDS, for guiding early intervention strategies. We evaluated longitudinal data in 2205 patients with MDS during their first year after diagnosis. Median values of EQ-5D 3-level (EQ-5D-3L) index (0.78) and visual analog scale (VAS) score (0.70) were used as thresholds for low HRQoL. In addition, the 5 dimensions of EQ-5D-3L were analyzed for impairments (any level vs "no problem" category). After multiple imputation of missing values, we used generalized estimating equations (GEE) to estimate odds ratios (OR) for univariable determinant screening (P < .15), and to subsequently derive multivariable models for low HRQoL with 95% confidence intervals (CI). Multivariable GEE analysis showed the following independent determinants (OR, 95% CI) for low EQ-5D index increased age (60-75 years 1.33, 1.01-1.75; >75 1.84, 1.39-2.45), female sex (1.70, 1.43-2.03), high serum ferritin level (≥1000 vs ≤300 µg/L 1.41, 1.06-1.87), comorbidity burden (per unit 1.11, 1.02-1.20), and reduced Karnofsky performance status (KPS, per 10 units 0.62, 0.58-0.67). For low VAS score, additional determinants were transfusion dependence (1.53, 1.03-2.29), low hemoglobin <10 g/dL (1.34, 1.12-1.61), and high body mass index (≥30 vs 23-29.9 kg/m2 1.26, 1.02-1.57). Sex, KPS, comorbidity burden, hemoglobin count, and transfusion burden were determinants for all EQ-5D dimensions. Low HRQoL is determined by multiple factors, which should be considered in the management and shared decision making of patients with MDS. This trial was registered at www.clinicaltrials.gov as #NCT00600860.
Asunto(s)

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Calidad de Vida / Síndromes Mielodisplásicos Tipo de estudio: Diagnostic_studies / Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Límite: Aged / Female / Humans / Middle aged Idioma: En Revista: Blood Adv Año: 2023 Tipo del documento: Article País de afiliación: Austria

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Calidad de Vida / Síndromes Mielodisplásicos Tipo de estudio: Diagnostic_studies / Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Límite: Aged / Female / Humans / Middle aged Idioma: En Revista: Blood Adv Año: 2023 Tipo del documento: Article País de afiliación: Austria