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Steinmetz T, Totzke U, Kasprzak A, Schmitz S, Gattermann N, Germing U. MDS patient registries - achievements and challenges. Ann Hematol 2024:10.1007/s00277-024-05925-3. [PMID: 39174754 DOI: 10.1007/s00277-024-05925-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2024] [Accepted: 07/30/2024] [Indexed: 08/24/2024]
Abstract
Since the late 1980s, patient registries have played a pivotal role in the elucidation of rare diseases. For myelodysplastic syndromes (MDS), they revealed the disease actually to be diverse rather than rare. Registry data enabled the definition of various MDS subtypes and prognostic scores tailoring therapy. These classifications have been revised and refined several times, and the differential diagnosis of MDS has become increasingly complex. At the same time, the diagnosis has been made more commonly and no longer by specialized centers of expertise only. Consequently, several registries have collected data with different focuses and from different patient subpopulations. The current review presents three MDS registries and their rationale, scope, design, and achievements. All three complement each other and will remain a mainstay to advance the knowledge on MDS as well as to validate the outcomes of clinical trials. However, delineation of subtypes after the most recent WHO and IPC revisions, as well as the determination of the newest risk score M of the International Prognostic Scoring System (IPSS-M), no longer just shift cut-offs but are based on multivariate compilations of highly specific genetic information. This paradigm shift involves challenging registries with respect to the assignment of all patients for whom this information has not yet been available.
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Affiliation(s)
- Tilman Steinmetz
- Outpatient Clinics for Hematology and Oncology, Sachsenring 69, 50677, Cologne, Germany.
| | - Uwe Totzke
- Totzke & Dreher Scientific (TDS), Basel, Switzerland
| | - Annika Kasprzak
- Clinic for Hematology, Oncology and Clinical Immunology, Heinrich-Heine University, Dusseldorf, Germany
| | - Stephan Schmitz
- Outpatient Clinics for Hematology and Oncology, Sachsenring 69, 50677, Cologne, Germany
| | - Norbert Gattermann
- Clinic for Hematology, Oncology and Clinical Immunology, Heinrich-Heine University, Dusseldorf, Germany
| | - Ulrich Germing
- Clinic for Hematology, Oncology and Clinical Immunology, Heinrich-Heine University, Dusseldorf, Germany
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2
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Extermann M, Artz A, Rebollo MA, Klepin HD, Krug U, Loh KP, Mims AS, Neuendorff N, Santini V, Stauder R, Vey N. Treating acute myelogenous leukemia in patients aged 70 and above: Recommendations from the International Society of Geriatric Oncology (SIOG). J Geriatr Oncol 2024; 15:101626. [PMID: 37741771 DOI: 10.1016/j.jgo.2023.101626] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2023] [Revised: 08/28/2023] [Accepted: 09/06/2023] [Indexed: 09/25/2023]
Abstract
Acute myeloid leukemia (AML) treatment is challenging in older patients. There is a lack of evidence-based recommendations for older patients ≥70, a group largely underrepresented in clinical trials. With new treatment options being available in recent years, recommendations are needed for these patients. As such the International Society of Geriatric Oncology (SIOG) assembled a task force to review the evidence specific to treatment and outcomes in this population of patients ≥70 years. Six questions were selected by the expert panel in domains of (1) baseline assessment, (2) frontline therapy, (3) post-remission therapy, (4) treatment for relapse, (5) targeted therapies, and (6) patient reported outcome/function and enhancing treatment tolerance. Information from current literature was extracted, combining evidence from systematic reviews/meta-analyses, decision models, individual trials targeting these patients, and subgroup data. Accordingly, recommendations were generated using a GRADE approach upon reviewing current evidence by consensus of the whole panel. It is our firm recommendation and hope that direct evidence should be generated for patients aged ≥70 as a distinct group in high need of improvement of their survival outcomes. Such studies should integrate information from a geriatric assessment to optimize external validity and outcomes.
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Affiliation(s)
- Martine Extermann
- Senior Adult Oncology Program, Moffitt Cancer Center, Tampa, FL, USA.
| | - Andrew Artz
- Division of Leukemia, Department of Hematology & Hematopoietic Cell Transplantation, City of Hope, Duarte, CA, USA
| | - Maite Antonio Rebollo
- Institut Català d'Oncologia, Oncohematogeriatrics Unit, L'Hospitalet de Llobregat, Spain
| | - Heidi D Klepin
- Wake Forest University School of Medicine, Department of Internal Medicine, Section on Hematology and Oncology, Winston-Salem, NC, USA
| | - Utz Krug
- Klinikum Leverkusen, Department of Medicine 3, Leverkusen, Germany
| | - Kah Poh Loh
- University of Rochester Medical Center, Department of Medicine, Division of Hematology and Oncology, James P. Wilmot Cancer Institute, Rochester, NY, USA
| | - Alice S Mims
- The Ohio State University Wexner Medical Center, Department of Internal Medicine, Columbus, OH, USA
| | - Nina Neuendorff
- University Hospital Essen, Department of Hematology and Stem-Cell Transplantation, Essen, Germany
| | - Valeria Santini
- MDS Unit, AOUC, Hematology, University of Florence, Florence, Italy
| | - Reinhard Stauder
- Department of Internal Medicine V (Hematology Oncology), Innsbruck Medical University, Innsbruck, Austria
| | - Norbert Vey
- Aix-Marseille University, Institut Paoli-Calmettes, Hematology Department, Marseille, France
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3
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Haring Y, Goldschmidt N, Taha S, Stemer G, Filanovsky K, Hellman I, Okasha D, Krayem B, Levi I, Rosenbaum H, Koren-Michowitz M, Yagna S, Nemets A, Gino-Moor S, Saban R, Cohen J, Halperin E, Wolach O, Dally N, Merkel D, Oster HS, Mittelman M. MDS-Related Anemia Is Associated with Impaired Quality of Life but Improvement Is Not Always Achieved by Increased Hemoglobin Level. J Clin Med 2023; 12:5865. [PMID: 37762806 PMCID: PMC10532166 DOI: 10.3390/jcm12185865] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2023] [Revised: 08/29/2023] [Accepted: 09/06/2023] [Indexed: 09/29/2023] Open
Abstract
Quality of life is impaired in MDS, but the role of hemoglobin level is unclear. To study the Hb-QoL correlation at diagnosis and 1 year later, patients filled out the EQ-5D questionnaire, assessing their mobility, self care, daily activities, pain/discomfort, and anxiety/depression, using scores of 0 (normal), 1 (mild/moderate), or 2 (poor). They also evaluated their health using a visual analogue scale, scoring from 0 (poor) to 100 (excellent). The anemia subgroups were: none/normal (Hb ≥ 12.5 g/dL), mild (10 ≤ Hb < 12.5), moderate (9 ≤ Hb < 10), severe (8 ≤ Hb < 9), or very severe (Hb < 8). LR-MDS patients (n = 127) and inpatient controls (n = 141) participated. The anemic patients had a poor QoL and the MDS patients had a lower QoL with a lower Hb. The controls had no QoL difference among the various anemia subgroups. In addition, the MDS QoL sharply decreased with an Hb of < 9. The MDS patients showed a wide QoL variability, i.e., different QoL scores in the same Hb subgroup, suggesting that other factors affect QoL (e.g., age and comorbidities). After 1 year (n = 61), the QoL was still poor for most MDS patients (including 27 patients with an increased Hb). In summary: (1) a poor QoL in MDS-anemia is non-linear, suggesting other influencing factors on QoL. (2) The sharp QoL drop with Hb < 9 g/dL challenges the transfusion Hb threshold. (3) The QoL in anemic MDS patients might differ from that in non-MDS patients. (4) Raising Hb, while recommended, does not guarantee an improved QoL.
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Affiliation(s)
- Yael Haring
- Department of Hematology, Tel Aviv Sourasky Medical Center, Tel Aviv 6423906, Israel; (Y.H.); (N.G.)
- MDS Center, Tel Aviv Sourasky Medical Center, Tel Aviv 6423906, Israel
- Faculty of Medicine, Tel Aviv University, Tel Aviv 6997801, Israel; (S.T.); (D.M.)
| | - Noa Goldschmidt
- Department of Hematology, Tel Aviv Sourasky Medical Center, Tel Aviv 6423906, Israel; (Y.H.); (N.G.)
- MDS Center, Tel Aviv Sourasky Medical Center, Tel Aviv 6423906, Israel
| | - Shaimaa Taha
- Faculty of Medicine, Tel Aviv University, Tel Aviv 6997801, Israel; (S.T.); (D.M.)
- Department of Internal Medicine, Tel Aviv Sourasky Medical Center, Tel Aviv 6423906, Israel
| | - Galia Stemer
- Galillee Medical Center, Bar-Ilan University, Nahariya 5290002, Israel;
| | | | | | - Doaa Okasha
- Haemek Medical Center, Afula 1834111, Israel;
| | - Baher Krayem
- Rambam Health Care Campus, Haifa 3109601, Israel;
| | - Itai Levi
- Soroka Medical Center, Be’er Sheva 84101, Israel;
| | | | | | - Shai Yagna
- Baruch Pade-Poriya Medical Center, Tiberias 1528001, Israel
| | | | | | | | - Joseph Cohen
- Laniado Medical Center, Netanya 4290200, Israel;
| | - Erez Halperin
- Davidoff Cancer Center, Rabin Medical Center, Petah Tikva 4941492, Israel; (E.H.); (O.W.)
| | - Ofir Wolach
- Davidoff Cancer Center, Rabin Medical Center, Petah Tikva 4941492, Israel; (E.H.); (O.W.)
| | - Najib Dally
- Ziv Medical Center, Bar-Ilan University, Zefad 5290002, Israel;
| | - Drorit Merkel
- Faculty of Medicine, Tel Aviv University, Tel Aviv 6997801, Israel; (S.T.); (D.M.)
- MDS Center, Sheba Medical Center, Ramat Gan 5262000, Israel
| | - Howard S. Oster
- MDS Center, Tel Aviv Sourasky Medical Center, Tel Aviv 6423906, Israel
- Faculty of Medicine, Tel Aviv University, Tel Aviv 6997801, Israel; (S.T.); (D.M.)
| | - Moshe Mittelman
- Department of Hematology, Tel Aviv Sourasky Medical Center, Tel Aviv 6423906, Israel; (Y.H.); (N.G.)
- MDS Center, Tel Aviv Sourasky Medical Center, Tel Aviv 6423906, Israel
- Faculty of Medicine, Tel Aviv University, Tel Aviv 6997801, Israel; (S.T.); (D.M.)
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4
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Efficace F, Al Essa W, Platzbecker U, Niscola P, Palumbo GA, Caocci G, Cottone F, Breccia M, Luppi M, Stauder R, Ricco A, Petranovic D, Baron F, Voso MT, Fianchi L, Frairia C, Capodanno I, Sarlo C, Fedele M, Lemoli RM, Invernizzi R, Vallisa D, Di Renzo N, Fozza C, Doro M, Giesinger JM, Vignetti M. Health-related Quality of Life Profile of Newly Diagnosed Patients With Myelodysplastic Syndromes by Age, Sex, and Risk Group: A Real-world Study by the GIMEMA. Hemasphere 2023; 7:e944. [PMID: 37663671 PMCID: PMC10470813 DOI: 10.1097/hs9.0000000000000944] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2023] [Accepted: 07/20/2023] [Indexed: 09/05/2023] Open
Abstract
Health-related quality of life (HRQoL) is an important goal of therapy for patients with myelodysplastic syndromes (MDS); however, little is known about HRQoL of these patients at clinical presentation. We report HRQoL profile of newly diagnosed patients with MDS across both the the International Prognostic Scoring System (IPSS) and IPSS-Revised (IPSS-R) classifications, stratified by sex and age group categories, aiming to also establish European Organization for Research and Treatment of Cancer Quality of Life Questionnaire-Core30 (EORTC QLQ-C30) reference values for these patients. Analysis was based on 927 patients with a median age of 73.3 years (interquartile range, 66.0-79.2), of whom 506 and 421 with lower- and higher-risk disease respectively, according to the IPSS classification. HRQoL was assessed with the EORTC QLQ-C30 and substantial differences by age groups and sex, between and within lower- and higher-risk disease categories were observed. For example, within higher-risk disease patients, the youngest group (ie, 30-59 years) tended to report clinically meaningful worse outcomes across various functional and symptom domains compared with older age groups. We also developed 2 regression models allowing for the prediction of EORTC QLQ-C30 reference scores for patients classified according to either the IPSS or the IPSS-R. Investigation of prevalence rates for clinically important problems and symptoms at diagnosis revealed a substantial burden of the disease with >50% of patients reporting clinically important problems with physical functioning and dyspnea in both lower- and higher-risk disease. Our findings may help to enhance the interpretation of HRQoL outcomes in future MDS studies and to better contextualize HRQoL data from routine practice settings.
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Affiliation(s)
- Fabio Efficace
- Data Center and Health Outcomes Research Unit, Italian Group for Adult Haematologic Diseases (GIMEMA), Rome, Italy
| | - Wael Al Essa
- Division of Hematology, Department of Translational Medicine, University of Eastern Piedmont, Novara, Italy
| | - Uwe Platzbecker
- Clinic and Policlinic of Hematology and Cellular Therapy, Oncology and Hemostaseology, University Hospital Leipzig, Germany
| | | | - Giuseppe A. Palumbo
- Dipartimento di Scienze Mediche, Chirurgiche e Tecnologie Avanzate “G.F. Ingrassia,” University of Catania, Italy
| | - Giovanni Caocci
- Department of Medical Sciences and Public Health, University of Cagliari, Italy
| | - Francesco Cottone
- Data Center and Health Outcomes Research Unit, Italian Group for Adult Haematologic Diseases (GIMEMA), Rome, Italy
| | - Massimo Breccia
- Hematology, Department of Translational and Precision Medicine, Azienda Ospedaliera Policlinico Umberto I, Sapienza University of Rome, Italy
| | - Mario Luppi
- University of Modena and Reggio Emilia, AOU Modena, Italy
| | - Reinhard Stauder
- Department of Internal Medicine V (Hematology and Oncology), Innsbruck Medical University, Innsbruck, Austria
| | | | - Duska Petranovic
- Department of Hematology, Clinical Hospital Center Rijeka, Croatia
| | - Frederic Baron
- Department of Hematology, CHU de Liège, University of Liege, Belgium
| | - Maria Teresa Voso
- Department of Biomedicine and Prevention, University of Rome Tor Vergata, Italy
| | - Luana Fianchi
- Dipartimento Scienze Radiologiche Radioterapiche ed Ematologiche, Fondazione Policlinico Universitario A. Gemelli, IRCCS, Roma, Italy
| | - Chiara Frairia
- Department of Oncology, Division of Hematology, AOU Città della Salute e della Scienza, Turin, Italy
| | - Isabella Capodanno
- Hematology Unit, Azienda Unità Sanitaria Locale-IRCCS, Reggio Emilia, Italy
| | - Chiara Sarlo
- Hematology and Stem Cell Transplantation Unit, University Campus Bio-Medico, Rome, Italy
| | | | - Roberto Massimo Lemoli
- Cattedra di ematologia, Dipartimento di Medicina Interna (DiMI), Università di Genova, Italy
- Clinica Ematologica, IRCCS Policlinico San Martino, Genova, Italy
| | - Rosangela Invernizzi
- Department of Internal Medicine, San Matteo IRCCS Policlinic Foundation, University of Pavia, Italy
| | | | - Nicola Di Renzo
- Hematology and Stem Cell Transplant Unit, “Vito Fazzi” Hospital, Lecce, Italy
| | - Claudio Fozza
- Department of Medicine, Surgery, and Pharmacy, University of Sassari, Italy
| | - Maribel Doro
- Unidade de Hematologia, Hemoterapia e Oncologia (UHHO), Serviço de Transplante de Medula Óssea (STMO), Complexo Hospital de Clínicas da Universidade Federal do Paraná, Curitiba, Brazil
| | | | - Marco Vignetti
- Data Center and Health Outcomes Research Unit, Italian Group for Adult Haematologic Diseases (GIMEMA), Rome, Italy
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Stojkov I, Conrads-Frank A, Rochau U, Arvandi M, Koinig KA, Schomaker M, Mittelman M, Fenaux P, Bowen D, Sanz GF, Malcovati L, Langemeijer S, Germing U, Madry K, Guerci-Bresler A, Culligan DJ, Kotsianidis I, Sanhes L, Mills J, Puntscher S, Schmid D, van Marrewijk C, Smith A, Efficace F, de Witte T, Stauder R, Siebert U. Determinants of low health-related quality of life in patients with myelodysplastic syndromes: EUMDS Registry study. Blood Adv 2023; 7:2772-2783. [PMID: 36607832 PMCID: PMC10275700 DOI: 10.1182/bloodadvances.2022008360] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2022] [Revised: 12/02/2022] [Accepted: 12/15/2022] [Indexed: 01/07/2023] Open
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.
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Affiliation(s)
- Igor Stojkov
- 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
| | - Annette Conrads-Frank
- 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
| | - Ursula Rochau
- 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
| | - Marjan Arvandi
- 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
| | - Karin A. Koinig
- Department of Internal Medicine V (Hematology and Oncology), Innsbruck Medical University, Innsbruck, Austria
| | - Michael Schomaker
- 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
- Centre for Infectious Disease Epidemiology and Research, University of Cape Town, Cape Town, South Africa
| | - Moshe Mittelman
- Department of Medicine A, Tel Aviv Sourasky (Ichilov) Medical Center and Sackler Medical Faculty, Tel Aviv University, Tel Aviv, Israel
| | - Pierre Fenaux
- Service d’Hématologie Séniors, Hôpital Saint-Louis, Assistance Publique des Hôpitaux de Paris and Université Paris 7, Paris, France
| | - David Bowen
- St. James’s Institute of Oncology, Leeds Teaching Hospitals, Leeds, United Kingdom
| | - Guillermo F. Sanz
- Department of Haematology, Hospital Universitario y Politécnico La Fe, Valencia, Spain
- Centro de Investigación Biomédica en Red de Cáncer, CIBERONC, Instituto de Salud Carlos III, Madrid, Spain
| | - Luca Malcovati
- Department of Hematology Oncology, Fondazione IRCCS Policlinico San Matteo, University of Pavia, Pavia, Italy
| | - Saskia Langemeijer
- Department of Hematology, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Ulrich Germing
- Department of Haematology, Oncology and Clinical Immunology, Universitätsklinik Düsseldorf, Düsseldorf, Germany
| | - Krzysztof Madry
- Department of Haematology, Oncology and Internal Medicine, Warszawa Medical University, Warsaw, Poland
| | - Agnès Guerci-Bresler
- Service d'Hématologie Clinique, Centre Hospitalier Universitaire Brabois, Nancy, France
| | - Dominic J. Culligan
- Department of Haematology, Aberdeen Royal Infirmary, Aberdeen, United Kingdom
| | - Ioannis Kotsianidis
- Department of Hematology, Democritus University of Thrace, University Hospital of Alexandroupolis, Alexandroupolis, Greece
| | - Laurence Sanhes
- Haematology Department of Perpignan, Saint Jean Hospital, Perpignan, France
| | - Juliet Mills
- Worcestershire Acute Hospitals NHS Trust and University Hospitals Birmingham NHS Foundation Trust, Worcester, United Kingdom
| | - Sibylle Puntscher
- 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
| | - Daniela Schmid
- 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
| | - Corine van Marrewijk
- Department of Hematology, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Alexandra Smith
- Epidemiology and Cancer Statistics Group, Department of Health Sciences, University of York, York, United Kingdom
| | - Fabio Efficace
- Health Outcomes Research Unit, Gruppo Italiano Malattie Ematologiche dell’Adulto (GIMEMA), Rome, Italy
| | - Theo de Witte
- Department of Tumor Immunology - Nijmegen Center for Molecular Life Sciences, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Reinhard Stauder
- Department of Internal Medicine V (Hematology and Oncology), Innsbruck Medical University, Innsbruck, Austria
| | - Uwe Siebert
- 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
- Division of Health Technology Assessment, ONCOTYROL - Center for Personalized Cancer Medicine, Innsbruck, Austria
- Center for Health Decision Science, Departments of Epidemiology and Health Policy & Management, Harvard Chan School of Public Health, Boston, MA
- Institute for Technology Assessment and Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA
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6
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Stempel JM, Xie Z, Bewersdorf JP, Stahl M, Zeidan AM. Evolution of Therapeutic Benefit Measurement Criteria in Myelodysplastic Syndromes/Neoplasms. Cancer J 2023; 29:203-211. [PMID: 37195777 DOI: 10.1097/ppo.0000000000000666] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/18/2023]
Abstract
ABSTRACT Myelodysplastic syndromes/neoplasms (MDS) are heterogeneous, clonal myeloid neoplasms characterized by ineffective hematopoiesis, progressive cytopenias, and an increased risk of progression to acute myeloid leukemia. The diversity in disease severity, morphology, and genetic landscape challenges not only novel drug development but also therapeutic response assessment. The MDS International Working Group (IWG) response criteria were first published in the year 2000 focusing on measures of blast burden reduction and hematologic recovery. Despite revision of the IWG criteria in 2006, correlation between IWG-defined responses and patient-focused outcomes, including long-term benefits, remains limited and has potentially contributed to failures of several phase III clinical trials. Several IWG 2006 criteria also lacked clear definitions leading to problems in practical applications and interobserver and intraobserver consistency of response reporting. Although the 2018 revision addressed lower-risk MDS, the most recent update in 2023 redefined responses for higher-risk MDS and has set out to provide clear definitions to enhance consistency while focusing on clinically meaningful outcomes and patient-centered responses. In this review, we analyze the evolution of the MDS response criteria, limitations, and areas of improvement.
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Affiliation(s)
- Jessica M Stempel
- From the Department of Internal Medicine, Hematology Section, Yale School of Medicine, New Haven, CT
| | - Zhuoer Xie
- Department of Hematology, H. Lee Moffitt Cancer Center, Tampa, FL
| | - Jan Philipp Bewersdorf
- Department of Medicine, Leukemia Service, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Maximilian Stahl
- Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Harvard University, Boston, MA
| | - Amer M Zeidan
- From the Department of Internal Medicine, Hematology Section, Yale School of Medicine, New Haven, CT
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7
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Efficace F, Koinig K, Cottone F, Bowen D, Mittelman M, Sommer K, Langemeijer S, Culligan D, Filanovsky K, Storck M, Smith A, van Marrewijk C, Dugas M, Stojkov I, Siebert U, de Witte T, Stauder R. Raising the standards of patient‐centered outcomes research in myelodysplastic syndromes: Clinical utility and validation of the subscales of the QUALMS from the MDS‐RIGHT project. Cancer Med 2022; 12:7529-7539. [PMID: 36533415 PMCID: PMC10067097 DOI: 10.1002/cam4.5487] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2022] [Revised: 09/30/2022] [Accepted: 11/16/2022] [Indexed: 12/23/2022] Open
Abstract
BACKGROUND Clinical decision-making for patients with myelodysplastic syndromes (MDS) is challenging, and both disease and treatment effects heavily impact health-related quality of life (HRQoL) of these patients. Therefore, disease-specific HRQoL measures can be critical to harness the patient voice in MDS research. METHODS We report a prospective international validation study of the Quality of Life in Myelodysplasia Scale (QUALMS) with a main focus on providing information on the psychometric characteristics of its three subscales: physical burden (QUALMS-P), emotional burden (QUALMS-E), and benefit finding (QUALMS-BF). The analysis is based on patients enrolled from three European countries and Israel, participating to the MDS-RIGHT Project. The scale structure and psychometric properties of the QUALMS were assessed. RESULTS Overall, 270 patients with a median age of 74 years were analyzed and the majority of them (60.3%) had a low MDS-Comorbidity Index score. Results of the confirmatory factor analysis supported the underlying scale structure of the QUALMS, which, in addition to a total score, includes three subscales: QUALMS-P, QUALMS-E, and the QUALMS-BF. The QUALMS-P exhibited the highest Cronbach's alpha coefficients. Discriminant validity analysis indicated good results with the QUALMS-P and QUALMS-E distinguishing between patients with different performance status, comorbidity, anemia, and transfusion dependency status. No floor and ceiling effects were observed. Responsiveness to change analysis supported the validity of the measure. Patients with a hemoglobin (Hb) level of <11 g/dL at study entry, who subsequently showed an improvement in their Hb levels, also reported a mean score change of 9 and 8 points (scales ranging between 0 and 100) in the expected direction of the QUALMS-E and QUALMS-P, respectively. CONCLUSIONS Our study provides additional validation data on the QUALMS from the international MDS-RIGHT Project. The use of this disease-specific HRQoL measure may contribute to raise quality standards of patient-centered outcomes research in MDS.
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Affiliation(s)
- Fabio Efficace
- Italian Group for Adult Hematologic Diseases (GIMEMA)Data Center and Health Outcomes Research UnitRomeItaly
| | - Karin Koinig
- Department of Internal Medicine V (Hematology and Oncology)Medical University InnsbruckInnsbruckAustria
| | - Francesco Cottone
- Italian Group for Adult Hematologic Diseases (GIMEMA)Data Center and Health Outcomes Research UnitRomeItaly
| | - David Bowen
- St. James's Institute of Oncology, Leeds Teaching HospitalsLeedsUK
| | - Moshe Mittelman
- Department of HematologyTel Aviv Sourasky (Ichilov) Medical Center, Sackler Faculty of Medicine, Tel Aviv UniversityTel Aviv‐YafoIsrael
| | - Kathrin Sommer
- Italian Group for Adult Hematologic Diseases (GIMEMA)Data Center and Health Outcomes Research UnitRomeItaly
| | - Saskia Langemeijer
- Department of HematologyRadboud University Medical CenterNijmegenThe Netherlands
| | | | | | - Michael Storck
- Institute of Medical Informatics, University of MünsterMünsterGermany
| | - Alexandra Smith
- Epidemiology and Cancer Statistics Group, Department of Health SciencesUniversity of YorkYorkUK
| | - Corine van Marrewijk
- Department of HematologyRadboud University Medical CenterNijmegenThe Netherlands
| | - Martin Dugas
- Institute of Medical Informatics, Heidelberg University HospitalHeidelbergGermany
| | - Igor Stojkov
- Department of Public Health, Health Services Research and Health Technology AssessmentInstitute of Public Health, Medical Decision Making and Health Technology Assessment, UMIT ‐ University for Health Sciences, Medical Informatics and TechnologyHall in TirolAustria
| | - Uwe Siebert
- Department of Public Health, Health Services Research and Health Technology AssessmentInstitute of Public Health, Medical Decision Making and Health Technology Assessment, UMIT ‐ University for Health Sciences, Medical Informatics and TechnologyHall in TirolAustria
- Departments of Epidemiology and Health Policy & ManagementCenter for Health Decision Science, Harvard Chan School of Public HealthBostonMassachusettsUSA
- Institute for Technology Assessment and Department of RadiologyMassachusetts General Hospital, Harvard Medical SchoolBostonMassachusettsUSA
| | - Theo de Witte
- Department of Tumor ImmunologyNijmegen Center for Molecular Life Sciences, Radboud University Medical CenterNijmegenThe Netherlands
| | - Reinhard Stauder
- Department of Internal Medicine V (Hematology and Oncology)Medical University InnsbruckInnsbruckAustria
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8
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Core Set of Patient-Reported Outcomes for Myelodysplastic Syndromes - EUMDS Delphi Study in Patients and Hematologists. Blood Adv 2021; 6:1-12. [PMID: 34492684 PMCID: PMC8753222 DOI: 10.1182/bloodadvances.2021004568] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2021] [Accepted: 06/03/2021] [Indexed: 12/04/2022] Open
Abstract
Systematically developed set of core PROs in MDS, involving patients and hematologists in a 2-round Delphi survey. Core PROs will support unified outcome measurement and facilitate inclusion of reliable patient information in MDS disease care.
Patient-reported outcomes (PROs) are relevant and valuable end points in the care of patients with myelodysplastic syndromes (MDS). However, a consensus-based selection of PROs for MDS, derived by both patients and hematologists, is lacking. We aimed to develop a core set of PROs for patients with MDS as part of the prospective European LeukemiaNet MDS (EUMDS) Registry. According to international guidelines, candidate PROs were identified from a comprehensive literature search of MDS studies. Overall, 40 PROs were selected and evaluated in a two-round Delphi survey by 40 patients with MDS and 38 hematologists in the first round and 38 patients and 32 hematologists in the second round. Based on an agreement scale and predefined inclusion criteria, both patients and hematologists selected “general quality of life” as a core PRO. Hematologists also selected “transfusion-dependency burden” and “ability to work/activities of daily living” as core PROs. The second Delphi round increased PRO rating agreements. Statistically significant rating differences between patients and hematologists were observed for 28 PROs (Mann-Whitney U test; P < .05) in the first round and for 19 PROs in the second round, with “disease knowledge” and “confidence in health care services” rated notably higher by patients. The overall mean PRO ratings correlation between the 2 groups was moderate (Spearman’s rank correlation coefficient = 0.5; P < .05). This first consensus on a core set of PROs jointly developed by patients and hematologists forms the basis for patient-centered care in daily practice and clinical research.
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9
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Wouters HJCM, Conrads-Frank A, Koinig KA, Smith A, Yu G, de Witte T, Wolffenbuttel BHR, Huls G, Siebert U, Stauder R, van der Klauw MM. The anemia-independent impact of myelodysplastic syndromes on health-related quality of life. Ann Hematol 2021; 100:2921-2932. [PMID: 34476573 PMCID: PMC8592948 DOI: 10.1007/s00277-021-04654-1] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2021] [Accepted: 08/24/2021] [Indexed: 01/12/2023]
Abstract
Myelodysplastic syndromes (MDS) are in the majority of cases characterized by anemia. Both anemia and MDS per se may directly contribute to impairments in health-related quality of life (HRQoL). In this study, we aimed to investigate the anemia-independent impact of MDS on HRQoL. We evaluated participants (≥ 50 years) from the large population-based Lifelines cohort (N = 44,694, mean age 59.0 ± 7.4 years, 43.6% male) and the European MDS Registry (EUMDS) (N = 1538, mean age 73.4 ± 9.0 years, 63.0% male), which comprises a cohort of lower-risk MDS patients. To enable comparison concerning HRQoL, SF-36 scores measured in Lifelines were converted to EQ-5D-3L index (range 0–1) and dimension scores. Lower-risk MDS patients had significantly lower HRQoL than those from the Lifelines cohort, as illustrated in both the index score and in the five different dimensions. Multivariable linear regression analysis demonstrated that MDS had an adjusted total impact on the EQ-5D index score (B = − 0.12, p < 0.001) and an anemia-independent “direct” impact (B = − 0.10, p < 0.001). Multivariable logistic regression analysis revealed an anemia-independent impact of MDS in the dimension mobility, self-care, usual activities, and anxiety/depression (all except pain/discomfort). This study demonstrates that the major part of the negative impact of lower-risk MDS on HRQoL is not mediated via anemia. Thus, the therapeutic focus should include treatment strategies directed at underlying pathogenic mechanisms to improve HRQoL, rather than aiming predominantly at increasing hemoglobin levels.
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Affiliation(s)
- Hanneke J C M Wouters
- Department of Hematology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
- Department of Endocrinology, University of Groningen, University Medical Center Groningen, 9700 RB, Groningen, The Netherlands.
| | - Annette Conrads-Frank
- 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
| | - Karin A Koinig
- Department of Internal Medicine V (Hematology and Oncology), Medical University Innsbruck, Innsbruck, Austria
| | - Alex Smith
- Epidemiology and Cancer Statistics Group, Department of Health Sciences, University of York, York, UK
| | - Ge Yu
- Epidemiology and Cancer Statistics Group, Department of Health Sciences, University of York, York, UK
- Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Theo de Witte
- Department of Tumor Immunology, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Bruce H R Wolffenbuttel
- Department of Endocrinology, University of Groningen, University Medical Center Groningen, 9700 RB, Groningen, The Netherlands
| | - Gerwin Huls
- Department of Hematology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Uwe Siebert
- 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
- Division of Health Technology Assessment, ONCOTYROL - Center for Personalized Cancer Medicine, Innsbruck, Austria
- Center for Health Decision Science, Department of Health Policy and Management, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Institute for Technology Assessment and Department of Radiology and Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Reinhard Stauder
- Department of Internal Medicine V (Hematology and Oncology), Medical University Innsbruck, Innsbruck, Austria
| | - Melanie M van der Klauw
- Department of Endocrinology, University of Groningen, University Medical Center Groningen, 9700 RB, Groningen, The Netherlands
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10
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Guideline-based indicators for adult patients with myelodysplastic syndromes. Blood Adv 2021; 4:4029-4044. [PMID: 32841339 DOI: 10.1182/bloodadvances.2020002314] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2020] [Accepted: 06/29/2020] [Indexed: 12/17/2022] Open
Abstract
Myelodysplastic syndromes (MDSs) represent a heterogeneous group of hematological stem cell disorders with an increasing burden on health care systems. Evidence-based MDS guidelines and recommendations (G/Rs) are published but do not necessarily translate into better quality of care if adherence is not maintained in daily clinical practice. Guideline-based indicators (GBIs) are measurable elements for the standardized assessment of quality of care and, thus far, have not been developed for adult MDS patients. To this end, we screened relevant G/Rs published between 1999 and 2018 and aggregated all available information as candidate GBIs into a formalized handbook as the basis for the subsequent consensus rating procedure. An international multidisciplinary expert panel group (EPG) of acknowledged MDS experts (n = 17), health professionals (n = 7), and patient advocates (n = 5) was appointed. The EPG feedback rates for the first and second round were 82% (23 of 28) and 96% (26 of 27), respectively. A final set of 29 GBIs for the 3 domains of diagnosis (n = 14), therapy (n = 8), and provider/infrastructural characteristics (n = 7) achieved the predefined agreement score for selection (>70%). We identified shortcomings in standardization of patient-reported outcomes, toxicity, and geriatric assessments that need to be optimized in the future. Our GBIs represent the first comprehensive consensus on measurable elements addressing best practice performance, outcomes, and structural resources. They can be used as a standardized instrument with the goal of assessing, comparing, and fostering good quality of care within clinical development cycles in the daily care of adult MDS patients.
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11
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De Witte T, Malcovati L, Fenaux P, Bowen D, Symeonidis A, Mittelman M, Stauder R, Sanz G, Čermák J, Langemeijer S, Hellström-Lindberg E, Germing U, Skov Holm M, Mądry K, Tatic A, Medina Almeida A, Savic A, Mandac Rogulj I, Itzykson R, Hoeks M, Gravdahl Garelius H, Culligan D, Kotsianidis I, Ades L, Van de Loosdrecht AA, Van Marrewijk C, Yu G, Crouch S, Smith A. Novel dynamic outcome indicators and clinical endpoints in myelodysplastic syndrome; the European LeukemiaNet MDS Registry and MDS-RIGHT project perspective. Haematologica 2020; 105:2516-2523. [PMID: 33054132 PMCID: PMC7604570 DOI: 10.3324/haematol.2020.266817] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
Affiliation(s)
- Theo De Witte
- Department of Tumor Immunology - Nijmegen Center for Molecular Life Sciences, Radboud University Medical Center, Nijmegen; TdW and LM both contributed equally as co-first authors.
| | - Luca Malcovati
- Department of Hematology Oncology, Fondazione IRCCS Policlinico San Matteo, University of Pavia, Pavia; TdW and LM both contributed equally as co-first authors.
| | - Pierre Fenaux
- Service d'Hématologie, Hôpital Saint-Louis, Assistance Publique des Hôpitaux de Paris (AP-HP) and Université Paris 7, Paris.
| | - David Bowen
- St. James's Institute of Oncology, Leeds Teaching Hospitals, Leeds.
| | - Argiris Symeonidis
- Department of Medicine, Division of Hematology, University of Patras Medical School, Patras.
| | - Moshe Mittelman
- Department of Medicine A, Tel Aviv Sourasky (Ichilov) Medical Center and Sackler Medical Faculty, Tel Aviv University, Tel Aviv.
| | - Reinhard Stauder
- Department of Internal Medicine V (Haematology and Oncology), Innsbruck Medical University, Innsbruck.
| | - Guillermo Sanz
- Department of Haematology, Hospital Universitario y Politécnico La Fe, Valencia, and CIBERONC, Madrid.
| | - Jaroslav Čermák
- Department of Clinical Hematology, Inst. of Hematology and Blood Transfusion, Praha.
| | | | | | - Ulrich Germing
- Department of Haematology, Oncology and Clinical Immunology, Universitätsklinik Düsseldorf, Düsseldorf.
| | - Mette Skov Holm
- Department of Haematology, Aarhus University Hospital, Aarhus.
| | - Krzysztof Mądry
- Department of Haematology, Oncology and Internal Medicine, Warszawa Medical University, Warszawa.
| | - Aurelia Tatic
- Center of Hematology and Bone Marrow Transplantation, Fundeni Clinical Institute, Bucharest.
| | | | - Aleksandar Savic
- Clinic of Hematology - Clinical Center of Vojvodina, Faculty of Medicine, University of Novi Sad, Novi Sad.
| | - Inga Mandac Rogulj
- Department of Internal Medicine, Division of Hematology, Merkur University Hospital, Zagreb.
| | - Raphael Itzykson
- Service d'Hématologie, Hôpital Saint-Louis, Assistance Publique des Hôpitaux de Paris (AP-HP) and Université Paris 7, Paris.
| | - Marlijn Hoeks
- Department of Hematology, Radboud University Medical Center, Nijmegen.
| | | | | | - Ioannis Kotsianidis
- Department of Hematology, Democritus University of Thrace Medical School, University Hospital of Alexandroupolis, Alexandroupolis.
| | - Lionel Ades
- Service d'Hématologie, Hôpital Saint-Louis, Assistance Publique des Hôpitaux de Paris (AP-HP) and Université Paris 7, Paris.
| | - Arjan A Van de Loosdrecht
- Department of Hematology - Cancer Center Amsterdam, Amsterdam UMC, Location VU University Medical Center, Amsterdam.
| | | | - Ge Yu
- Epidemiology and Cancer Statistics Group, Department of Health Sciences, University of York, York.
| | - Simon Crouch
- Epidemiology and Cancer Statistics Group, Department of Health Sciences, University of York, York.
| | - Alex Smith
- Epidemiology and Cancer Statistics Group, Department of Health Sciences, University of York, York.
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