• Lena Lee, Alyson Ross, Kathleen Griffith, Roxanne E Jensen, and Gwenyth R Wallen.
• National Institutes of Health Clinical Center.
• Oncol Nurs Forum. 2020 Jan 1; 47 (1): 89-100.

ObjectivesTo identify symptom clusters in breast cancer survivors and to determine sociodemographic and clinical characteristics influencing symptom cluster membership.Sample And SettingThe authors performed a cross-sectional secondary analysis of data obtained from a community-based cancer registry-linked survey with 1,500 breast cancer survivors 6-13 months following a breast cancer diagnosis.Methods And VariablesSymptom clusters were identified using latent class profile analysis of four patient-reported symptoms (pain, fatigue, sleep disturbance, and depression) with custom PROMIS® short forms.ResultsFour distinct classes were identified.Implications For NursingCommon symptom clusters may lead to better prevention and treatment strategies that target a group of symptoms. Results also suggest that certain factors place patients at high risk for symptom burden, which can guide tailored interventions.

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