Associations of Symptom-Functioning Clusters and Survival in Colorectal Cancer Patients
Poster Number: P98
Presentation Time: 05:00 PM - 06:30 PM
Abstract Keywords: Self-care/Management/Monitoring, Cancer Prevention, Patient / Person Generated Health Data (Patient Reported Outcomes), Machine Learning
Primary Track: Applications
Programmatic Theme: Clinical Research Informatics
Introduction
There are still limited studies examining symptom patterns and their impact on survival in colorectal cancer (CRC) patients. Consequently, we aim to identify clusters of symptoms among CRC patients and investigate their association with survival outcomes.
Methods
The Colorectal Cancer Cohort Study (2013-2021) at Seoul National University Hospital included 985 CRC patients, with 573 (58.2%) being male and 414 (42.05%) under 60 years old at baseline. Patients provided self-report data on 33 symptoms and functioning, anxiety and depression using the EORTC QLQ-C30, EORTC QLQ-CR29, and Hospital Anxiety and Depression Scale, which were divided into three domains. The K-modes algorithm was used to identify symptom cluster. Kaplan-Meier analysis and Cox proportional hazards regression analysis determined hazard ratios for each cluster.
Results
Three symptom clusters were identified from cluster analysis: Cluster 1 (prevalence 55.1%; All domains being good), cluster 2 (prevalence 24.5%; Low somatic symptoms, low psychosocial symptoms, and low functions), and cluster 3 (prevalence 20.4%; Low somatic symptoms, high psychosocial symptoms, and low functions). Significant differences were observed between clusters by sex, income level, physical activity, total cholesterol, and cancer stage. Survival outcomes also showed significant differences across clusters (log-rank, P = 0.006). Specifically, patients in Cluster 2 showed a 1.64 times higher risk of mortality compared to those in Cluster 1 (adjusted hazard ratio, 1.62 [95% CI, 1.03-2.61]; P = 0.036) in Table 1.
Discussion and Conclusions
Most CRC patients experienced high somatic symptoms, high psychosocial symptoms, and high functions, which were associated with survival.
Speaker(s):
Ji Won Yu, Master Degree
Hallym University
Poster Number: P98
Presentation Time: 05:00 PM - 06:30 PM
Abstract Keywords: Self-care/Management/Monitoring, Cancer Prevention, Patient / Person Generated Health Data (Patient Reported Outcomes), Machine Learning
Primary Track: Applications
Programmatic Theme: Clinical Research Informatics
Introduction
There are still limited studies examining symptom patterns and their impact on survival in colorectal cancer (CRC) patients. Consequently, we aim to identify clusters of symptoms among CRC patients and investigate their association with survival outcomes.
Methods
The Colorectal Cancer Cohort Study (2013-2021) at Seoul National University Hospital included 985 CRC patients, with 573 (58.2%) being male and 414 (42.05%) under 60 years old at baseline. Patients provided self-report data on 33 symptoms and functioning, anxiety and depression using the EORTC QLQ-C30, EORTC QLQ-CR29, and Hospital Anxiety and Depression Scale, which were divided into three domains. The K-modes algorithm was used to identify symptom cluster. Kaplan-Meier analysis and Cox proportional hazards regression analysis determined hazard ratios for each cluster.
Results
Three symptom clusters were identified from cluster analysis: Cluster 1 (prevalence 55.1%; All domains being good), cluster 2 (prevalence 24.5%; Low somatic symptoms, low psychosocial symptoms, and low functions), and cluster 3 (prevalence 20.4%; Low somatic symptoms, high psychosocial symptoms, and low functions). Significant differences were observed between clusters by sex, income level, physical activity, total cholesterol, and cancer stage. Survival outcomes also showed significant differences across clusters (log-rank, P = 0.006). Specifically, patients in Cluster 2 showed a 1.64 times higher risk of mortality compared to those in Cluster 1 (adjusted hazard ratio, 1.62 [95% CI, 1.03-2.61]; P = 0.036) in Table 1.
Discussion and Conclusions
Most CRC patients experienced high somatic symptoms, high psychosocial symptoms, and high functions, which were associated with survival.
Speaker(s):
Ji Won Yu, Master Degree
Hallym University
Associations of Symptom-Functioning Clusters and Survival in Colorectal Cancer Patients
Category
Poster - Student
Description
Date: Monday (11/11)
Time: 05:00 PM to 06:30 PM
Room: Grand Ballroom (Posters)
Time: 05:00 PM to 06:30 PM
Room: Grand Ballroom (Posters)