Background: Patients with acute myeloid leukemia (AML) receiving intensive chemotherapy face a life-threatening illness, experience a prolonged, isolating hospitalization, and endure substantial physical and psychological symptoms. Some patients with AML experience traumatic stress as a result of their diagnosis and illness course. As traumatic stress reactions can negatively impact patients' QOL, mood, and clinical outcomes, it is essential to understand the extent of this trauma, its clinical manifestations, and risk factors to inform targeted management strategies. Post-traumatic stress disorder (PTSD), characterized by experiencing a traumatic event, is a common stress related disorder in cancer populations. Despite the potential link between AML and PTSD, data are limited regarding risk and risk factors of PTSD symptoms in this population. Methods: We conducted a secondary analysis of 160 patients with high-risk AML hospitalized to receive intensive chemotherapy. We used the Post-Traumatic Stress Disorder Checklist-Civilian Version to assess PTSD symptoms at one month after diagnosis of AML. We used the Brief COPE, and Functional Assessment of Cancer Therapy-Leukemia at baseline and week-2 during hospitalization to assess coping and quality of life (QOL), respectively. We then used multivariate regression models to assess the relationship between PTSD symptoms at one month and patient baseline sociodemographic factors, coping, and QOL. Results: Twenty-eight percent of patients reported clinically significant PTSD symptoms, describing high rates of intrusion (92%), avoidance (100%), and hypervigilance (97%). Among those who did not have clinically significant PTSD symptoms, 27%, 26%, and 23% of patients reported clinically significant intrusion, avoidance, and hypervigilance symptoms, respectively. In adjusted analyses, higher baseline QOL (B= -.22, p= <.001) and less decline in QOL during hospitalization (B= -.17, p=.018) were associated with fewer PTSD symptoms. The use of approach-oriented coping (B= -.72; p= .018) was also associated with fewer PTSD symptoms, while the use of avoidant coping was not significantly associated with PTSD symptoms. Conclusion: A substantial proportion of patients with AML report clinically significant PTSD symptoms at one month after initiating intensive chemotherapy. These findings highlight the need to routinely screen, assess, and manage PTSD symptoms in all patients with AML. Patients' baseline QOL, coping strategies, and extent of QOL decline during hospitalization are important risk factors for PTSD symptoms, underscoring potential intervention targets in future studies to reduce the impact of PTSD in this population. Disclosures LeBlanc: Heron: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Otsuka: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Medtronic: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Pfizer: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Seattle Genetics: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Welvie: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Agios: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; American Cancer Society: Research Funding; BMS: Research Funding; Duke University: Research Funding; NINR/NIH: Research Funding; Jazz Pharmaceuticals: Research Funding; UpToDate: Patents & Royalties; Abbvie: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Amgen: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; AstraZeneca: Consultancy, Honoraria, Research Funding, Speakers Bureau; CareVive: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; BMS/Celgene: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Daiichi Sankyo: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Flatiron: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Helsinn: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees. Hobbs:Merck: Research Funding; Incyte: Research Funding; Celgene/BMS: Honoraria; Novartis: Honoraria; Jazz: Honoraria; Bayer: Research Funding; Constellation: Honoraria, Research Funding. Brunner:Novartis: Research Funding; AstraZeneca: Research Funding; Forty-Seven Inc: Membership on an entity's Board of Directors or advisory committees; Jazz Pharmaceuticals: Membership on an entity's Board of Directors or advisory committees; Takeda: Research Funding; Celgene: Membership on an entity's Board of Directors or advisory committees, Research Funding. Luger:Daiichi-Sankyo: Honoraria; Pfizer: Honoraria; Bristol-Myers Squibb: Honoraria; Acceleron: Honoraria; Agios: Honoraria; Loxo Oncology: Honoraria; Onconova: Research Funding; Kura: Research Funding; Hoffman La Roche: Research Funding; Ariad: Research Funding; Biosight: Research Funding. Bhatnagar:KITE: Membership on an entity's Board of Directors or advisory committees; KaryoPharm Therapuetics: Research Funding; Cell Therapeutics: Membership on an entity's Board of Directors or advisory committees, Research Funding; Novartis: Membership on an entity's Board of Directors or advisory committees; Astellas: Membership on an entity's Board of Directors or advisory committees; Pfizer: Membership on an entity's Board of Directors or advisory committees.
Background The global coronavirus disease 2019 (COVID-19) pandemic has drastically disrupted cancer care, potentially exacerbating patients’ distress levels. Patients undergoing HSCT may be especially vulnerable to this pandemic stress. However, the associations of the COVID-19 pandemic with distress, fatigue, and QOL are not well understood in this population. Method In a cross-sectional analysis of data from 205 patients undergoing HSCT enrolled in a supportive care trial, we compared baseline pre-HSCT distress (depression, anxiety, and posttraumatic stress disorder [PTSD]) symptoms, fatigue, and QOL between enrollees pre- (i.e., 03/2019-01/2020) and during (i.e., 03/2020-01/2021) the COVID-19 pandemic. We used linear regression models adjusting for sociodemographics and cancer diagnosis to examine the associations between enrollment period and patient-reported outcomes. We used semi-structured qualitative interviews in 20 allogeneic HSCT recipients who were ≥3-months post-HSCT to understand the impact of the COVID-19 pandemic on their recovery post-HSCT. Results Prior to COVID-19, 124 participants enrolled, while 81 participants enrolled during the pandemic. The cohorts had similar baseline demographics and disease risk factors. In multivariate regression models, enrollment during COVID-19 was not associated with pre-HSCT symptoms of depression, anxiety, PTSD, fatigue, or QOL impairment. COVID-19-era participants reported themes of negative (e.g., increased isolation) and positive (e.g., engagement with meaningful activities) implications of the pandemic on HSCT recovery. Conclusions We found no differences in pre-HSCT distress, fatigue or QOL in patients undergoing HSCT prior to or during the COVID-19 pandemic. Patients in early recovery post-HSCT, however, report both negative and positive implications of the COVID-19 pandemic on their lives.
Objective Although digital health tools (DHTs) are a promising alternative and effective strategy to deliver cancer care and support, their role in health promotion among cancer survivors remains relatively unexplored. We aimed to investigate the acceptability and impact of DHT for health promotion in cancer survivors. Methods Data was pooled from cycle three of the fifth edition of the Health Information National Trends Survey. Logistic regressions were conducted to evaluate differences between cancer survivors and the general population regarding ownership, usage, and perceived usefulness of DHT for health management. Regression models were used to identify sociodemographic predictors of DHT usage among cancer survivors. Results Overall, cancer survivors were as likely as the general population to own and use DHT (e.g., health apps, wearable devices) for their care and they were likely to find these tools beneficial in tracking their health and communicating with healthcare providers. Cancer survivors who had health applications installed on their mobile device were more likely to meet national recommendations for diet (fruit and vegetable consumption) and strength training than those without health apps. Age, income, and education level were significant sociodemographic predictors of DHT ownership and usage. Conclusion Cancer survivors own and use DHT at similarly high rates to the general population, highlighting the potential for utilizing DHT to expand access and continuity of care in the growing and vulnerable oncology population. With increasing use of DHT in healthcare, future research that targets digital access disparities in cancer survivors from low SES is essential.
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