Abstract 76P
Background
Colorectal cancer (CRC) is a major cause of cancer-related mortality globally. Despite extensive research, the combined impact of various factors on survival remains incompletely understood. This study aims to investigate both univariable and multivariable determinants of survival in CRC patients, aiming to provide a comprehensive understanding of their prognostic significance. Assessing the prognostic significance of quality of life (QOL) factors, such as sleep score and body image, utilizing survival analysis techniques.
Methods
Study was conducted using retrospective cohort data of 985 patients before they received active treatment from 2013 to 2021 at Seoul National University Hospital's Colorectal Cancer Center. Univariate analysis identified associations between survival and factors such as age, residence, fasting blood glucose, comorbidities, and cancer stage. We then used multivariate proportional risk regression analysis to determine the independent predictors of survival. We estimated the relationship between quality of life and survival by calculating the adjusted hazard ratio (aHR) and 95% confidence interval (CI) using the Cox proportional hazards model.
Results
The multivariate proportional hazard regression analyses, adjusted for marital status, residence, cancer stage, insomnia, and body image, revealed several significant associations with survival. Patients residing in rural areas had a significantly higher hazard of death (HR: 2.096; 95% CI: 1.378–3.188, p=0.001) compared to urban residents. Advanced cancer stages (3-4) were associated with a higher hazard of death (HR: 5.189; 95% CI: 3.391–7.939, p<0.001) compared to early stages (0-2). Poor insomnia status was linked to a higher hazard of death (HR: 2.123; 95% CI: 1.448–3.114, p=0.000). Additionally, poor body image increased the hazard of death (HR: 2.949; 95% CI: 1.196–7.272, p=0.019).
Conclusions
This study highlights the significant impact of quality of life factors, such as sleep quality and body image, on the survival of colorectal cancer patients. Addressing these issues in patient care may enhance survival outcomes, underscoring the importance of comprehensive patient management.
Clinical trial identification
Editorial acknowledgement
Legal entity responsible for the study
The authors.
Funding
This research was supported by a grant of ‘Korea Government Grant Program for Education and Research in Medical AI’ through the Korea Health Industry Development Institute(KHIDI), funded by the Korea government(MOE, MOHW) and also funded by the National Research Foundation (NRF) in South Korea (2022R1C1C1009902).
Disclosure
All authors have declared no conflicts of interest.