Abstract 842P
Background
Symptoms of depression are highly prevalent amongst patients with cancer. We sought to identify which treatment related side-effects were associated with an increased incidence of depression in patients with chronic lymphocytic leukemia (CLL).
Methods
A global survey was deployed in 2022 to gather patient reported outcomes and patient reported experience measures from a cross-section of patients with lymphoma and CLL. The incidence of 32 side-effects were cross-tabulated with reports of depression amongst patients with CLL who received treatment.
Results
Of the 611 respondents who received treatment and disclosed whether they suffered from depressive symptoms, 21% (N = 131) reported experiencing depression. The entire sample had a median age of 66 years and 46% were female. No significant differences in age or biological sex were found. The following side-effects were significantly associated with increased reports of depression: changes in sleep patterns (p<0.0001); pain (p<0.0001), lack of concentration (p<0.0001), inability to multitask (p<0.0001); respiratory problems (p<0.0001); loss of memory (p<0.0001); peripheral neuropathy (p<0.0001); sexual and intimacy problems (p<0.0001); eyesight issues (p = 0.0002); headaches (p = 0.0002); infusion reaction (p = 0.0006); neurological effects (p = 0.0007), fatigue (p = 0.0007); changes in taste and smell (p = 0.0008); constipation (p = 0.001); easy bruising and bleeding (p = 0.002); dental issues (p = 0.002); osteoporosis (p = 0.002); mouth and throat symptoms (p = 0.01); kidney problems (0.01); skin, hair and nail problems (p = 0.02); infertility (p = 0.02); and diarrhea (0.03).
Conclusions
The large breadth of side-effects (N = 23) that are associated with increased incidence of depression suggests that interventions to mitigate side-effects are likely to have unanticipated benefits for the health-related quality of life for patients with CLL. Implementation of assessment methods to ensure patients disclose all side effects and are provided with the appropriate supportive care will reduce comorbidities and yield improved outcomes for patients with CLL.
Clinical trial identification
Editorial acknowledgement
Legal entity responsible for the study
The authors.
Funding
AbbVie, BMS, Pharmacyclics, Roche.
Disclosure
All authors have declared no conflicts of interest.
Resources from the same session
1192P - Optimizing lung cancer screening: Independent verification of an AI/ML computer-aided detection and characterization software as medical device
Presenter: Sylvain Bodard
Session: Poster session 09
1194P - Development of a novel artificial intelligence (AI) algorithm to detect pulmonary nodules on chest radiography
Presenter: Mitsunori Higuchi
Session: Poster session 09
1195P - Whole-body magnetic resonance imaging (WB-MRI) screening in Li Fraumeni syndrome for early cancer diagnosis: The SIGNIFIED project
Presenter: Elena Cojocaru
Session: Poster session 09
1196P - Organoid growth-based oncological sensitivity test (OncoSensi) for predicting adjuvant therapy outcomes in ovarian cancer patients
Presenter: Dong Woo Lee
Session: Poster session 09
1197P - Ex vivo basket study reports patient-specific sensitivity to carboplatin versus cisplatin in lung, ovarian and bladder cancer
Presenter: Debbie Robbrecht
Session: Poster session 09
1198P - Analytical validation of an NGS panel-based ecDNA detection device for use as a clinical trial assay for the POTENTIATE clinical study of the novel CHK1 inhibitor, BBI-355
Presenter: Pontis Julien
Session: Poster session 09