MDS-Comorbidity Index using register data has prognostic impact in Swedish MDS patients

Leuk Res. 2023 Nov:134:107386. doi: 10.1016/j.leukres.2023.107386. Epub 2023 Sep 7.

Abstract

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.

Keywords: Cohort studies; Comorbidity; Epidemiology; Myelodysplastic syndromes; Prognosis.

MeSH terms

  • Comorbidity
  • Humans
  • Myelodysplastic Syndromes* / diagnosis
  • Myelodysplastic Syndromes* / epidemiology
  • Prognosis
  • Retrospective Studies
  • Risk Factors
  • Sweden / epidemiology