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INTRODUCTION AND OBJECTIVE: The significant impact of bladder cancer and treatment on patient health related quality of life (HRQoL) and emotional wellbeing has been documented. Increasing evidence from cancer research emphasizes the importance of examining patients supportive care needs and received social support as factors that could influence their emotional adjustment. The purpose of the study was to assess the demographic and clinical predictors of depression and anxiety among bladder cancer patients and its associations with patient reported supportive care needs and perceived availability of social support. METHODS: A cross-sectional design was used to investigate the study questions. Bladder cancer patients were recruited from the Bladder Cancer Advocacy Network (BCAN) to complete a questionnaire that included the Hospital Anxiety and Depression Scale (HADS), bladder cancer patient need survey (BCNAS-32), and the social provisions scale (SPS). The inclusion criteria restricted our sample to include bladder cancer patients who were English speakers, aged 18-85 years, and were able and willing to provide informed consent. Patients who had metastatic disease, cancer recurrence, or other primary cancers at the time of assessment were excluded from the study. RESULTS: Participants included 159 bladder cancer patients. The mean age was 62±9.4 years and 51% were male. Almost two-thirds (62%) of patients reported a diagnosis of muscle invasive bladder cancer (MIBC), 25% patient reported clinically significant levels of anxiety, 17% reported clinically significant levels of depression, and 13% and 17% reported abnormal borderline abnormal levels for anxiety and depression, respectively. Univariate regression analyses revealed significant associations between HADS total score, HADS depression and anxiety subscales, patient age, physical functioning/daily living needs, sexuality needs, and perceived social support with higher total scores, anxiety, and depression scores associated with younger age, higher unmet needs, and lower levels of social support. Multivariate regression analyses, showed similar findings confirming the associations depicted by the univariate regression analyses. CONCLUSIONS: Bladder cancer patients experience significant levels of depression and anxiety and these levels are associated with patient age, supportive care unmet needs and lack of social support. Patient focused interventions could be tailored to address these issues with the goal to improve patient HRQoL and emotional adjustment.
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This study examines differences between patients with and without cancer in patient demographic and clinical characteristics and COVID-19 mortality and discusses the implications of these differences in relation to existing cancer disparities and COVID-19 vulnerabilities. Data was collected as a part of a retrospective study on a cohort of COVID-19 positive patients across Mount Sinai Health System from March 28, 2020 to April 26, 2020. Descriptive, comparative, and regression analyses were applied to examine differences between patients with and without cancer in demographic and clinical characteristics and COVID-19 mortality and whether cancer status predicts COVID-19 mortality controlling for these covariates using SAS 9.4. Results showed that, of 4641 patients who tested positive for COVID-19, 5.1% (N=236) had cancer. The median age of the total sample was 58 years (Q1-Q3: 41-71); 55.3% were male, 19.2% were current/former smokers, 6.1% were obese. The most commonly reported comorbidities were hypertension (22.6%) and diabetes (16.0%). Overall, the COVID-19 mortality rate was 8.3%. Examining differences between COVID-19 patients with and without cancer revealed significant differences (p<0.05) in COVID-19 mortality, hospitalization rates, age, gender, race, smoking status, obesity, and comorbidity indicators (e.g., diabetes) with cancer patients more likely to be older, male, black, obese, smokers, and with existing comorbidities. Controlling for these clinical, demographic, and behavioral characteristics, results of logistic regression analyses showed significant effects of older age and male gender on COVID-19 mortality (p<0.05). While cancer patients with COVID-19 were more likely to experience worse COVID-19 outcomes, these associations might be related to common cancer and COVID-19 vulnerability factors such as older age and gender. The coexistence of these vulnerability age and gender factors in both cancer and COVID-19 populations emphasizes the need for better understanding of their implications for cancer and COVID-19 disparities, both diseases prevention efforts, policies, and clinical management.
