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MDS-Comorbidity Index using register data has prognostic impact in Swedish MDS patients
Unit of Haematology, Department of Medical Sciences, Uppsala University, Uppsala, Sweden.
Unit of Haematology, Department of Medical Sciences, Uppsala University, Uppsala, Sweden.
Section of Haematology and Coagulation, Department of Specialist Medicine, Sahlgrenska University Hospital, Gothenburg, Sweden.
Department of Haematology, Oncology and Radiation Physics, Skåne University Hospital, Lund, Sweden.
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2023 (Engelska)Ingår i: Leukemia Research, ISSN 0145-2126, E-ISSN 1873-5835, Vol. 134, artikel-id 107386Artikel i tidskrift (Refereegranskat) Published
Abstract [en]

Comorbidities influence the mortality in patients with myelodysplastic syndromes, and a growing body of evidence suggest that comorbidity history should be used in addition to established prognostic indices. A comorbidity index specific for MDS, the MDS-CI, was introduced a decade ago. In this study we aim to construct an MDS-CI version based on diagnoses from register data only, to expand its use beyond the clinical setting to retrospective and register based studies. We further test this version on a Swedish population-based MDS cohort of 2947 patients, and compare its prognostic accuracy to that of Charlson Comorbidity Index. Our register based MDS-CI divided patients into three risk groups of similar proportions as have been published for the original MDS-CI. Compared to low risk patients, intermediate and high risk patients had 50 % and 70 % higher mortality, respectively. The prognostic value of MDS-CI was equal to that of Charlson comorbidity index. Adding MDS-CI to the established prognostic factors IPSS-R and age increased the prognostic accuracy. In summary, we demonstrate that MDS-CI can be adequately estimated from diagnoses recorded in registers only, and that it is a useful tool in any future study on myelodysplastic syndromes with a need to adjust for comorbidities.

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Elsevier, 2023. Vol. 134, artikel-id 107386
Nyckelord [en]
Cohort studies, Comorbidity, Epidemiology, Myelodysplastic syndromes, Prognosis
Nationell ämneskategori
Hematologi
Identifikatorer
URN: urn:nbn:se:oru:diva-108187DOI: 10.1016/j.leukres.2023.107386ISI: 001097119600001PubMedID: 37690322Scopus ID: 2-s2.0-85169889747OAI: oai:DiVA.org:oru-108187DiVA, id: diva2:1795755
Tillgänglig från: 2023-09-11 Skapad: 2023-09-11 Senast uppdaterad: 2024-07-04Bibliografiskt granskad

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Rasmussen, Bengt

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