The Relationship Between Frailty and Emotional Health in Older Patients with Advanced Cancer.

BACKGROUND: Aging-related deficits that eventually manifest as frailty may be associated with poor emotional health in older patients with advanced cancer. This study aimed to examine the relationship between frailty and emotional health in this population. METHODS: This was a secondary analysis of baseline data from a nationwide cluster randomized trial. Patients were aged ≥70 years with incurable stage III/IV solid tumors or lymphomas, had ≥1 geriatric assessment (GA) domain impairment, and had completed the Geriatric Depression Scale, Generalized Anxiety Disorder-7, and Distress Thermometer. Frailty was assessed using a Deficit Accumulation Index (DAI; range 0-1) based on GA, which did not include emotional health variables (depression and anxiety), and participants were stratified into robust, prefrail, and frail categories. Multivariate logistic regression models examined the association of frailty with emotional health outcomes. Adjusted odds ratios (aORs) and 95% confidence intervals (CIs) were reported. RESULTS: Five hundred forty-one patients were included (mean age: 77 years; 70-96). DAI ranged from 0.04 to 0.94; 27% of patients were classified as robust, 42% prefrail, and 31% frail. Compared with robust patients, frail patients had an increased risk of screening positive for depression (aOR = 12.8; 95% CI = 6.1-27.0), anxiety (aOR = 6.6; 95% CI = 2.2-19.7), and emotional distress (aOR = 4.62; 95% CI = 2.9-8.3). Prefrail compared with robust patients also had an increased risk of screening positive for depression (aOR = 2.22; 95% CI = 1.0-4.8) and distress (aOR = 1.71; 95% CI = 1.0-2.8). CONCLUSION: In older patients with advanced cancer, frailty is associated with poorer emotional health, which indicates a need for an integrated care approach to treating these patients. IMPLICATIONS FOR PRACTICE: A relationship exists between frailty and poor emotional health in older adults with advanced cancer. Identifying areas of frailty can prompt screening for emotional health and guide delivery of appropriate interventions. Alternatively, attention to emotional health may also improve frailty.

Catastrophe in Radiology: Considerations Beyond Common Emergencies.

Disasters often occur without warning and have the potential to affect large numbers of people. Those in the radiology environment experience unique effects on them, their equipment, and their ability to provide quality patient care. Lessons can be learned by reviewing events and their impact on imaging departments around the world. Radiology departments need to be actively involved in the disaster planning and the management of disasters when they occur. Common themes emerge regardless of the type of disaster, and these themes should be included in all planning.

COVID-19 Related Mortality During Management of a Hepatic Abscess.

The coronavirus disease (COVID-19) is caused by the novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which originated in the capital city of the Hubei Province, Wuhan, China, in late 2019. Declared a pandemic by the World Health Organization on March 11th, 2020, COVID-19 has challenged healthcare systems to limit the spread of community and hospital-acquired disease. This article uses a patient case to highlight the importance of infection control during the height of the SARS-CoV-2 surge at a Level I affiliated community hospital in Western New York.

Association of Prognostic Understanding With Health Care Use Among Older Adults With Advanced Cancer: A Secondary Analysis of a Cluster Randomized Clinical Trial.

Importance: A poor prognostic understanding regarding curability is associated with lower odds of hospice use among patients with cancer. However, the association between poor prognostic understanding or prognostic discordance and health care use among older adults with advanced incurable cancers is not well characterized. Objective: To evaluate the association of poor prognostic understanding and patient-oncologist prognostic discordance with hospitalization and hospice use among older adults with advanced cancers. Design, Setting, and Participants: This was a post hoc secondary analysis of a cluster randomized clinical trial that recruited patients from October 29, 2014, to April 28, 2017. Data were collected from community oncology practices affiliated with the University of Rochester Cancer Center National Cancer Institute Community Oncology Research Program. The parent trial enrolled 541 patients who were aged 70 years or older and were receiving or considering any line of cancer treatment for incurable solid tumors or lymphomas; the patients' oncologists and caregivers (if available) were also enrolled. Patients were followed up for at least 1 year. Data were analyzed from January 3 to 16, 2021. Main Outcomes and Measures: At enrollment, patients and oncologists were asked about their beliefs regarding cancer curability (100%, >50%, 50%, <50%, and 0%; answers other than 0% reflected poor prognostic understanding) and life expectancy (≤6 months, 7-12 months, 1-2 years, 2-5 years, and >5 years; answers of >5 years reflected poor prognostic understanding). Any difference between oncologist and patient in response options was considered discordant. Outcomes were any hospitalization and hospice use at 6 months captured by the clinical research associates. Results: Among the 541 patients, the mean (SD) age was 76.6 (5.2) years, 264 of 540 (49%) were female, and 486 of 540 (90%) were White. Poor prognostic understanding regarding curability was reported for 59% (206 of 348) of patients, and poor prognostic understanding regarding life expectancy estimates was reported for 41% (205 of 496) of patients. Approximately 60% (202 of 336) of patient-oncologist dyads were discordant regarding curability, and 72% (356 of 492) of patient-oncologist dyads were discordant regarding life expectancy estimates. Poor prognostic understanding regarding life expectancy estimates was associated with lower odds of hospice use (adjusted odds ratio, 0.30; 95% CI, 0.16-0.59). Discordance regarding life expectancy estimates was associated with greater odds of hospitalization (adjusted odds ratio, 1.64; 95% CI, 1.01-2.66). Conclusions and Relevance: This study highlights different constructs of prognostic understanding and the need to better understand the association between prognostic understanding and health care use among older adult patients with advanced cancer. Trial Registration: ClinicalTrials.gov Identifier: NCT02107443.

Caregiving burden of informal caregivers of older adults with advanced cancer: The effects of rurality and education.

OBJECTIVES: Rural-urban disparities in the experiences of caregivers of older adults with advanced cancer may exist. This study examined factors associated with caregiver mastery and burden and explored whether rural-urban disparities in caregiver outcomes differed by education. MATERIALS AND METHODS: Longitudinal data (baseline, 4-6 weeks, and 3 months) on caregivers of older adults (≥ 70) with advanced cancer were obtained from a multicenter geriatric assessment (GA) trial (ClinicalTrials.gov: NCT02107443). Rurality was determined based on 2010 Rural-Urban Commuting Area codes. Caregivers' education was categorized as ≥ some college vs ≤ high school. Caregiver outcomes included Ryff Environmental Mastery (scored 7-35) and Caregiver Reaction Assessment (including self-esteem, disrupted schedules, financial problems, lack of social support, and health problems; each scored 1-5). Separate linear mixed models with interaction term of education and rurality were performed. RESULTS: Of 414 caregivers, 64 (15.5%) were from rural areas and 263 (63.5%) completed ≥ some college. Rurality was significantly associated with more disrupted schedules (ß = 0.21), financial problems (ß = 0.17), and lack of social support (ß = 0.11). A significant interaction between education and rurality was found, with rurality associated with lower mastery (ß = -1.27) and more disrupted schedule (ß = 0.25), financial problems (ß = 0.33), and lack of social support (ß = 0.32) among caregivers with education ≤ high school. CONCLUSION: Our study identifies subgroups of caregivers who are vulnerable to caregiving burden, specifically those from rural areas and with lower education. Multifaceted interventions are needed to improve caregivers' competency and reduce caregiving burden.