Abstract 4587
Background
Despite the accumulation of knowledge on the cognitive side-effects of chemotherapy, the actual incidence of this impairment is still a subject of research. Estimates of affected patients vary from 17% to 78% across studies.In recent years, growing attention is being paid to the potential adverse effects of chemotherapy on brain and cognitive function. Despite the accumulation of knowledge on the cognitive side-effects of chemotherapy, the actual incidence of this impairment is still a subject of research. Estimates of affected patients vary from 17% to 78% across studies. The aim of the study is to evaluate cognitive function changes experienced by cancer patients who receive chemotherapy and associated factors.
Methods
This is a descriptive study. The data collection phase of the study is ongoing and the results obtained from 47 patients who received chemotherapy have been reported here. The results of the large group will be presented at the congress. Data collection was started on March 2019 and will be continuing until September 2019. This study was conducted in a Research and Training Hospital in Istanbul/Turkey. Data were collected by using the Patient İnformation form and Functional Assessment of Chronic Illness Therapy- Cognitive Function (FACIT-Cog) and The European Organization for Research and Treatment of Cancer quality of life questionnaire (EORTC QLQ-C30). Mann-Whitney U test, Kruskal-Wallis test, and Spearman Correlation analysis were used to evaluate the data.
Results
There was statistically significant and positive relationship between FACIT-Cog “perceived cognitive impairments” subscale and EORTC-30 cognitive (r = 0,755; p ≤ 0,001), emotional (r = 0,505; p = 0,001) and social (r = 0,504; p = 0,001) functioning subscales. There was statistically significant and positive relationship between FACIT-Cog “comments from others on cognitive function” and EORTC-30 emotional (r = 0,491; p = 0,001), cognitive (r = 0,539; p ≤ 0,001), and social (r = 0,588; p ≤ 0,001) functioning subscales. FACIT-Cog scores was not significantly differ by patients’ characteristics (p > 0,005).
Conclusions
Cognitive function should be assessed and considered during the care of cancer patients.
Clinical trial identification
Editorial acknowledgement
Legal entity responsible for the study
The authors.
Funding
Has not received any funding.
Disclosure
All authors have declared no conflicts of interest.
Resources from the same session
2901 - IFN-γ/IL-10 ratio as predictive biomarker for response to anti-PD-1 therapy in metastatic melanoma patients
Presenter: Emilio Giunta
Session: Poster Display session 3
Resources:
Abstract
2306 - Multiplex Chromogenic Immunohistochemistry (IHC) for Spatial Analysis of Checkpoint-Positive Tumor Infiltrating Lymphocytes (TILs)
Presenter: Scott Ely
Session: Poster Display session 3
Resources:
Abstract
1678 - The role of PD-L1 expression as a predictive biomarker in advanced renal cell carcinoma: a meta-analysis of randomized clinical trials.
Presenter: Alberto Carretero-Gonzalez
Session: Poster Display session 3
Resources:
Abstract
5138 - Radiomic Features as a Non-invasive Biomarker to Predict Response to Immunotherapy in Recurrent or Metastatic Urothelial Carcinoma
Presenter: Kye Jin Park
Session: Poster Display session 3
Resources:
Abstract
5800 - Integrative combination of high-plex digital profiling techniques and cluster analysis to reveal complex immune biology in the tumor microenvironment of mesothelioma
Presenter: Carmen Ballesteros-Merino
Session: Poster Display session 3
Resources:
Abstract
5736 - Predictive factors of response to immunotherapy in 198 patients with metastatic non-microcytic lung cancer (mNSCLC): real world data from 2 university hospitals in Spain
Presenter: Juan Felipe Cordoba Ortega
Session: Poster Display session 3
Resources:
Abstract
5645 - Evaluating Lung CT Density Changes Among Patients with Extensive Stage Small Cell Lung Cancer (ES-SCLC) Treated with Thoracic Radiotherapy (TRT) alone or TRT Followed by Combined Ipilimumab (IPI) and Nivolumab (NIVO).
Presenter: Kujtim Latifi
Session: Poster Display session 3
Resources:
Abstract
1540 - Immuno-oncology therapy biomarkers differences between polyoma-virus positive and negative Merkel cell carcinomas
Presenter: Zoran Gatalica
Session: Poster Display session 3
Resources:
Abstract
4538 - Can we improve patient selection for phase 1 clinical trials (Ph1) based on Immuno-Oncology score prognostic index (VIO)?
Presenter: Ignacio Matos Garcia
Session: Poster Display session 3
Resources:
Abstract
5544 - Evaluation of a radiomic signature of CD8 cells in patients treated with immunotherapy-radiotherapy in three clinical trials.
Presenter: Roger Sun
Session: Poster Display session 3
Resources:
Abstract