MDS-Comorbidity Index using register data has prognostic impact in Swedish MDS patients Show others and affiliations
2023 (English) In: Leukemia Research, ISSN 0145-2126, E-ISSN 1873-5835, Vol. 134, article id 107386Article in journal (Refereed) 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.
Place, publisher, year, edition, pages Elsevier, 2023. Vol. 134, article id 107386
Keywords [en]
Cohort studies, Comorbidity, Epidemiology, Myelodysplastic syndromes, Prognosis
National Category
Hematology
Identifiers URN: urn:nbn:se:oru:diva-108187 DOI: 10.1016/j.leukres.2023.107386 ISI: 001097119600001 PubMedID: 37690322 Scopus ID: 2-s2.0-85169889747 OAI: oai:DiVA.org:oru-108187 DiVA, id: diva2:1795755
2023-09-112023-09-112024-07-04 Bibliographically approved