Healthcare Utilization and Comorbidity in Chronic Lymphocytic Leukemia
- PMID: 35002328
- PMCID: PMC8722577
- DOI: 10.2147/CLEP.S337495
Healthcare Utilization and Comorbidity in Chronic Lymphocytic Leukemia
Abstract
Purpose: Age-related comorbidity is highly prevalent in chronic lymphocytic leukemia (CLL). The purpose of this study was to provide information on current patterns of healthcare utilization in CLL.
Patients and methods: We used data from Danish nation-wide registers to study healthcare utilization the year before and the year after CLL diagnosis and in relation to first-line treatment. Patients diagnosed with CLL between 1997 and 2018 were included and stratified on number of comorbidities, presence of specific comorbidities, and fitness status, respectively. Healthcare utilization was studied in terms of hospital admissions, in-hospital bed days, out-patient visits, emergency room visits, and prescription drugs. Odds ratios with 95% confidence intervals were calculated using multivariable logistic regression analyses adjusting for age, sex, and calendar year.
Results: The study comprised 9170 patients with CLL with a median age of 71 years, of whom 35% had ≥1 comorbidity. Healthcare utilization increased markedly upon CLL diagnosis both in patients with and without comorbidities. During the year after CLL diagnosis, 39% were hospitalized, 16% visited an emergency room, 88% visited an out-patient clinic, and 93% received prescription drugs. Both individual comorbidities and the total number of comorbidities were associated with increased healthcare utilization of all types, except for contacts to hematological departments.
Conclusion: Our results suggest that CLL diagnosis may unveil incipient diseases and aggravate comorbidities and thereby have considerably wider health implications than those directly related to CLL. These findings may be used by clinicians and decisions makers to guide planning of multidisciplinary care for cancer patients.
Keywords: chronic lymphocytic leukemia; epidemiology; hematology; real-world data.
© 2021 Rotbain et al.
Conflict of interest statement
ECR received consultancy fees or travel grants from AbbVie, Janssen, and AstraZeneca. CC-B received consultancy fees and/or travel grants from AbbVie, AstraZeneca, and Gilead. CUN received support from Novo Nordisk Foundation and AstraZeneca within this work and consultancy fees, or travel grants from AbbVie, Gilead, Janssen, Roche, CSL Behring, Acerta, Genmab, Sunesis, Takeda, Octapharma, and AstraZeneca outside this work. HF received support outside this work from Alexion, Gilead, AbbVie, Janssen Pharmaceuticals, and Novartis. HH received support from Neye Fonden outside this work. The authors report no other conflicts of interest in this work.
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