Background: Patients with cancer often experience multiple symptoms concurrently. We identified patient clusters based on longitudinal symptom severity trajectories in oropharyngeal cancer (OPC) and evaluated the potential clinical utility of this approach.
Methods: A retrospective OPC patient cluster analysis using 6 months of symptom severity data from radiotherapy initiation. The clinico-demographic characteristics and overall survival of patients were compared between clusters.
Results: We identified four clusters of patients differing in longitudinal symptom severity. Cluster A (n = 168) included patients with the mildest longitudinal symptoms, cluster B (n = 59) and cluster C (n = 63) were intermediate, and cluster D (n = 30) included patients with the worst symptoms. The clusters differed in their HPV status, ECOG performance status, smoking history, drinking history, treatment modality, and 5-year survival. These clusters separated symptom severity trajectories more distinctly than individual clinico-demographic characteristics.
Conclusions: Early symptom severity trajectory clustering revealed distinct patient clusters that were prognostic of overall survival.
Keywords: cluster analysis; head and neck neoplasms; neoplasms; oropharyngeal neoplasms; signs and symptoms.
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