Risk Factors for a Higher Symptom Burden in Patients With Cancer During the COVID-19 Pandemic.

Abstract

To evaluate for subgroups of patients with distinct symptom profiles and differences in demographic and clinical characteristics and stress and resilience among these subgroups. 1,145 patients with cancer aged 18 years or older completed a survey online. Data were collected between May 2020 and February 2021. Patients completed measures for depression, state anxiety, cognitive function, morning fatigue, evening fatigue, morning energy, evening energy, sleep disturbance, pain, stress, and resilience. Latent class profile analysis was used to identify subgroups of patients with distinct symptom profiles. Differences among the subgroups on study measures were evaluated using parametric and nonparametric tests. Four distinct profiles were identified (none, low, high, and very high). Patients in the high and very high classes reported clinically meaningful levels of all nine symptoms. Differences among the four profiles for stress and resilience exhibited a dose-response effect. Findings can serve as benchmark data of the symptom burden of patients with cancer following the COVID-19 pandemic.