The incorporation of comorbidities in the prognostication of patients with lower-risk myelodysplastic syndrome*

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

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.

Personal history of autoimmune disease and other medical conditions and risk of myelodysplastic syndromes

BACKGROUND

Autoimmune diseases and hematopoietic malignancies are known to cluster within individuals, suggesting intertwined etiologies. A limited number of studies have evaluated pre-existing medical conditions as risk factors for myelodysplastic syndromes (MDS). We evaluated associations between autoimmune disease and other medical conditions and risk of MDS.

METHODS

Cases were identified through the Minnesota Cancer Reporting System. Controls were identified through the Minnesota State driver's license/identification card list. History of autoimmune disease and other medical conditions was based on self-report; proxy interviews were not conducted. Unconditional logistic regression was used to calculate adjusted odds ratios (aORs) and 95% confidence intervals (CI).

RESULTS

We included 395 cases and 694 controls. Cases were significantly more likely to report a diagnosis of any autoimmune disease when compared with controls (aOR=1.41, 95% CI: 1.05-1.89) after adjustment for age, sex, education, NSAID use, exposure to benzene and body mass index. When we evaluated specific autoimmune conditions, a statistically significant association was observed for hypothyroidism (aOR=2.16, 95% CI: 1.39-3.34) and odds ratios were elevated for inflammatory bowel disease (aOR=1.75) and systemic lupus erythematosus (SLE; aOR=3.65), although these associations did not reach statistical significance. Presence of an autoimmune condition did not impact overall survival (p = 0.91).

CONCLUSION

Our results validate previous findings of an association between autoimmune disease and MDS. Further studies are required to determine whether this association is due to shared etiology, treatment for autoimmune diseases, or altered immune surveillance or bone marrow damage caused by the autoimmune condition.

Comorbidities and malignancies negatively affect survival in myelodysplastic syndromes: a population-based study

Population-based studies that contain detailed clinical data on patients with myelodysplastic syndrome (MDS) are scarce. This study focused on the real-world overall survival (OS) of MDS patients in association with comorbidities, specifically malignancies. An observational population-based study using the HemoBase registry was performed, including all patients with MDS diagnosed between 2005 and 2017 in Friesland, a Dutch province. Detailed information about diagnosis, patient characteristics, previous treatment of malignancies, and comorbidities according to the Charlson Comorbidity Index (CCI) was collected from electronic health records. Patients were followed up until June 2019. Kaplan-Meier plots and Cox regression analyses were used to study survival differences. In the 291 patients diagnosed with MDS, the median OS was 25.3 months (95% confidence interval [CI], 20.3-30.2). OS was significantly better for patients with CCI score <4, age <65 years, female sex, and low-risk MDS. Fifty-seven patients (20%) had encountered a prior malignancy (excluding nonmelanoma skin cancer), and a majority (38 patients; 67%) were therapy related. Both therapy-related and secondary MDSs were associated with worse OS (hazard ratio, 1.51; 95% CI, 1.02-2.23 and 1.58; 95% CI, 0.95-2.65, respectively), as compared with de novo MDS patients (P = .04). Patients in remission at time of MDS diagnosis had a similar median OS compared with patients with de novo MDS (25.5 vs 28.3 months). This population-based study involving all newly diagnosed MDS patients over a 13-year period in Friesland showed that multiple comorbidities, including previous malignancies, are associated with shorter OS. OS was not related to the use of radiotherapy or chemotherapy.

Comorbidities and frailty predict outcome of patients with myelodysplastic syndromes. Should we integrate them in novel prognostic scoring systems?

Prognosis of myelodysplastic syndromes (MDS) is based on scoring systems focusing on disease-related factors; however, several studies have shown that patient-related factors might be equally important in prognostication of patients with malignancies in general but also for patients with MDS. The aim of this review was to evaluate the role of comorbidities and frailty as prognostic factors as well as predictive factors of response and tolerability to hypomethylating agents. Both comorbidities and frailty were shown to be predictive of overall survival; however, they mostly correlate with risk for non-leukemic death rather than leukemia-free survival. In patients with higher-risk MDS, comorbidities burden and frailty might be predictive of poor treatment response as well as increased toxicity. In this context, all patients with MDS should be evaluated for comorbidities and frailty at baseline, preferentially using indices validated for MDS. This assessment should guide the selection of treatment. Decision regarding treatment initiation should be based on disease-related factors as captured by the established prognostic scoring systems.

Integrating patient-centered factors in the risk assessment of MDS

Myelodysplastic syndromes are clonal myeloid neoplasms that primarily present in older adults. Although leukemia develops in approximately 25% to 30% of individuals, the significantly shortened survival in this population is attributed more commonly to nonleukemic causes. The current prognostic scoring systems for leukemia and overall survival based on disease characteristics are becoming increasingly sophisticated and accurate with the incorporation of molecular data. The addition of patient-related factors such as comorbidity, disability, frailty, and fatigue to these new models may improve their predictive power for overall survival, treatment toxicity, and health care costs. To improve the generalizability of clinical trial results to the real world, geriatric assessment testing should become a standard of care in MDS clinical trials.

Factors predicting early mortality after new diagnosis of myelodysplastic syndrome: A population-based study

OBJECTIVE

Little prospective data regarding factors determining patient outcomes in myelodysplastic syndromes (MDS) are available. To establish features of early mortality in MDS, we compare characteristics of patients dying within 1 year of diagnosis with those surviving longer.

METHODS

We prospectively enrolled adults with a new MDS diagnosis in a population-based case-control study. Logistic regression was used to calculate odds ratios and 95% confidence intervals for potential predictors of early mortality. Subgroup analyses were conducted within the following groups: high-/very-high-risk IPSS-R; very-low-/low-/intermediate-risk IPSS-R; treated patients; and supportive care only patients.

RESULTS

We observed early mortality in those with abnormal cytogenetics (OR: 3.36, 95% CI: 1.52-7.46), three or greater cytogenetic abnormalities (OR: 3.48, 95% CI: 1.51-7.99), treatment at a community medical center (versus academic) (OR: 2.55, 95% CI: 1.18-5.47), and with 2-3 concurrent medical comorbidities (OR: 2.14, 95% CI: 1.08-4.22). Similarly, in subgroup analyses, abnormal cytogenetics remained the main predictor of early mortality.

CONCLUSION

Complex cytogenetics and prognostic risk category have been associated with early mortality without intervention. Our data confirm these associations in a large, prospectively followed cohort and highlight the significance of cytogenetic abnormalities and complexity regardless of IPSS-R risk categorization or treatment.