Aim of the study
Patients with cancer might have an increased risk for severe outcome of coronavirus disease 2019 (COVID-19). To identify risk factors associated with a worse outcome of COVID-19, a nationwide registry was developed for patients with cancer and COVID-19.
Methods
This observational cohort study has been designed as a quality of care registry and is executed by the Dutch Oncology COVID-19 Consortium (DOCC), a nationwide collaboration of oncology physicians in the Netherlands. A questionnaire has been developed to collect pseudonymised patient data on patients’ characteristics, cancer diagnosis, and treatment. All patients with COVID-19 and a cancer diagnosis or treatment in the past 5 years are eligible.
Results
Between March 27
th
and May 4
th
, 442 patients were registered. For this first analysis, 351 patients were included of whom 114 patients died. In multivariable analyses, age ≥65 years (
p
<0.001), male gender (
p
=0.035), prior or other malignancy (
p
=0.045), and active diagnosis of haematological malignancy (
p
=0.046) or lung cancer (
p
=0.003) were independent risk factors for a fatal outcome of COVID-19. In a subgroup analysis of patients with active malignancy, the risk for a fatal outcome was mainly determined by tumour type (haematological malignancy or lung cancer) and age (≥65 years).
Conclusion
The findings in this registry indicate that patients with a haematological malignancy or lung cancer have an increased risk of a worse outcome of COVID-19. During the ongoing COVID-19 pandemic, these vulnerable patients should avoid exposure to SARS-CoV-2, whereas treatment adjustments and prioritizing vaccination, when available, should also be considered.
BackgroundCancer‐related fatigue (CRF) reduces quality of life and the activity level of patients with cancer. Cancer related fatigue can be reduced by exercise interventions that may concurrently increase muscle mass. We hypothesized that low muscle mass is directly related to higher CRF.MethodsA total of 233 patients with advanced cancer starting palliative chemotherapy for lung, colorectal, breast, or prostate cancer were studied. The skeletal muscle index (SMI) was calculated as the patient's muscle mass on level L3 or T4 of a computed tomography scan, adjusted for height. Fatigue was assessed with the Functional Assessment of Chronic Illness Therapy‐fatigue questionnaire (cut‐off for fatigue <34). Multiple linear regression analyses were conducted to study the association between SMI and CRF adjusting for relevant confounders.ResultsIn this group of patients with advanced cancer, the median fatigue score was 36 (interquartile range 26–44). A higher SMI on level L3 was significantly associated with less CRF for men (B 0.447, P 0.004) but not for women (B − 0.401, P 0.090). No association between SMI on level T4 and the Functional Assessment of Chronic Illness Therapy‐fatigue score was found (n = 82).ConclusionsThe association between SMI and CRF may lead to the suggestion that male patients may be able to reduce fatigue by exercise interventions aiming at an increased muscle mass. In women with advanced cancer, CRF is more influenced by other causes, because it is not significantly related to muscle mass. To further reduce CRF in both men and women with cancer, multifactorial assessments need to be performed in order to develop effective treatment strategies.
Purpose A stepped care (SC) program in which an effective yet least resource-intensive treatment is delivered to patients first and followed, when necessary, by more resource-intensive treatments was found to be effective in improving distress levels of patients with head and neck cancer or lung cancer. Information on the value of this program for its cost is now called for. Therefore, this study aimed to assess the cost-utility of the SC program compared with care-as-usual (CAU) in patients with head and neck cancer or lung cancer who have psychological distress.
Patients and MethodsIn total, 156 patients were randomly assigned to SC or CAU. Intervention costs, direct medical costs, direct nonmedical costs, productivity losses, and health-related quality-of-life data during the intervention or control period and 12 months of follow-up were calculated by using Trimbos and Institute of Medical Technology Assessment Cost Questionnaire for Psychiatry, Productivity and Disease Questionnaire, and EuroQol-5 Dimension measures and data from the hospital information system. The SC program's value for the cost was investigated by comparing mean cumulative costs and quality-adjusted life years (QALYs).
ResultsAfter imputation of missing data, mean cumulative costs were -V3,950 (95% CI, -V8,158 to -V190) lower, and mean number of QALYs was 0.116 (95% CI, 0.005 to 0.227) higher in the intervention group compared with the control group. The intervention group had a probability of 96% that cumulative QALYs were higher and cumulative costs were lower than in the control group. Four additional analyses were conducted to assess the robustness of this finding, and they found that the intervention group had a probability of 84% to 98% that cumulative QALYs were higher and a probability of 91% to 99% that costs were lower than in the control group.
ConclusionSC is highly likely to be cost-effective; the number of QALYs was higher and cumulative costs were lower for SC compared with CAU.
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