Nelson, Kimberly

Abstract Background: Cancer diagnosis and treatment are important risk factors for developing clinical depression. Validated tools for screening distress and depression, such as Cancer Distress Thermometer (DT) and PHQ9 (Patient Health Questionnaire), are underutilized, despite endorsement by NCCN and Institute of Medicine. We investigated patient and treatment characteristics as well as patient endorsement of depression or anhedonia to predict those at risk of having depression. Methods: The PHQ9 and/or DT were administered prospectively to patients with hematologic malignancies (HM) before they started antineoplastic therapy at Mayo Clinic in Florida. Patient endorsement of depression or anhedonia was collected from the current visit information survey. Patient demographics, disease and treatment characteristics, chronic medication burden, Charlson comorbidity index, living situation, clinic/hospital visit burden in the month prior to screening and number of psychiatric medications for every patient were recorded. Intergroup comparison of categorical and continuous variables was done by Chi-square and Wilcoxon rank-sum tests, respectively. Linear or logistic regression models were used to compare PHQ9 score with DT (continuous) or endorsing depression or anhedonia (categorical) respectively. Multivariate models were constructed using the stepwise selection technique using all potential variables in the models. All analyses were completed using SAS v9.3. Results: Final analysis included 246 patients with a median age at diagnosis 64.5 (range: 18-94) years, diagnosed between 6/30/93-10/9/14 and screened between 1/13/11-2/13/15. PHQ9 score of ≥9 and DT score ≥5 suggested a high risk of depression and distress, respectively, as per published literature. Patient characteristics at time of survey and analysis are noted in table 1. PHQ9, DT and answers to two questions about depression and anhedonia were available on 129, 129 and 246 patients, respectively. 63% of patients were chemotherapy naïve. In multivariate analysis, PHQ9 score ≥9 was associated with living alone (p=0.003) (Fig.1a) and non-White race (p=0.043) (Fig.1b), while a DT score ≥5 was associated with being currently married (p=0.048) and female gender (p=0.02). The only characteristic significant on univariate but not on multivariate analysis being chemotherapy naive, associated with a DT score ≥5 (p=0.049). Answering "no" to both the questions regarding depression or anhedonia was significantly associated with a low score on PHQ9 (p=0.007). Age at diagnosis, Charlson comorbidity score, chronic medication or visit burden, daily psychiatric medication use or type of malignancy were not associated with scores on any screen. Conclusions: Causes of depression in patients with HM have not been fully explored. We validated previously known risk factors for depression, such as living alone. We also reported for the first time that non-White race independently predicts depression in these patients. Female patients and those currently married are at a higher risk of psychological distress, possibly due to fear of abandoning family. We also found that simply asking a patient two questions about feelings of depression or anhedonia significantly correlates with the well-established PHQ9. Our analysis provides simple tools and reveals at-risk patient subgroups with HM where depression and distress screening should be aggressively instituted for better resource utilization and survivorship. Table 1. Patient Characteristic N % Gender Male Female 146 100 59.4 40.6 Race White Non-White 216 30 87.8 12.2 Marital Status Married Not married* 180 66 73.2 26.8 Living Situation Alone With others 37 209 15 85 Type of Malignancy Aggressive lymphoid Indolent lymphoid Aggressive myeloid Indolent myeloid 124 94 25 3 50.4 38.2 10.2 1.2 Prior Cancer Treatment Yes No 91 155 37 63 Daily Psych Meds Yes No 52 194 21.1 78.9 Patient Status Alive Dead 191 55 77.6 22.4 *Not currently married=single, divorced, widowed or unknown Disclosures No relevant conflicts of interest to declare.

182 Background: The purpose of this study was to examine the associations of three different measures of anxiety and depression with patient reported distress (PRD) level and survival after radiotherapy (RT). Methods: 518 patients who underwent RT between 2012 and 2016 were included in this retrospective study. PRD was assessed at the time of RT using the NCCN thermometer and a 30 question survey of distress related items. PRD and clinical and demographic data was retrospectively collected and analyzed. The three measures this study focused on that assessed patient anxiety and depression involved asking patients about their level of concern regarding feeling down, regarding loss of interest, and regarding feeling nervous. Associations between baseline patient characteristics and survival after start of RT were evaluated using single variable Cox proportional hazards regression models. Hazard ratios (HRs) and 95% confidence intervals (CIs) were estimated. Associations of level of concern regarding patient anxiety/depression with survival after RT were evaluated using single variable and multivariable Cox proportional hazards regression models. Results: Overall, PRD level and concern regarding anxiety/depression were positively correlated (p < 0.001). Additionally, there was a significant association between level of concern regarding feeling down and palliative patients (p = 0.03). There was also a significant association between level of concern regarding loss of interest and palliative patients (p = 0.03), with level of concern highest for thorax, breast, and head and neck. There was also a significant different between level of concern regarding feeling nervous and gender (p = 0.05). There was not a significant difference between any of the three measures and survival after RT (all p ≥ 0.21). Conclusions: Anxiety and depression in patients receiving palliative and curative RT was associated with overall distress. Baseline screening of PRD may identify patients who would benefit from intervention to address the causes of their underlying anxiety and depression.