Aside from urological and sexual problems, long-term (≥5 years after initial diagnosis) prostate cancer (PC) survivors might suffer from pain, fatigue, and depression. These concurrent symptoms can form a cluster. In this study, we aimed to investigate classes of this symptom cluster in long-term PC survivors, to classify PC survivors accordingly, and to explore associations between classes of this cluster and health-related quality of life (HRQoL).
Six hundred fifty-three stage T1-T3N0M0 survivors were identified from the Prostate Cancer Survivorship in Switzerland (PROCAS) study. Fatigue was assessed with the EORTC QLQ-FA12, depressive symptoms with the MHI-5, and pain with the EORTC QLQ-C30 questionnaire. Latent class analysis was used to derive cluster classes. Factors associated with the derived classes were determined using multinomial logistic regression analysis.
Three classes were identified: class 1 (61.4%) - "low pain, low physical and emotional fatigue, moderate depressive symptoms"; class 2 (15.1%) - "low physical fatigue and pain, moderate emotional fatigue, high depressive symptoms"; class 3 (23.5%) - high scores for all symptoms. Survivors in classes 2 and 3 were more likely to be physically inactive, report a history of depression or some other specific comorbidity, be treated with radiation therapy, and have worse HRQoL outcomes compared to class 1.
Three distinct classes of the pain, fatigue, and depression cluster were identified, which are associated with treatment, comorbidities, lifestyle factors, and HRQoL outcomes. Improving classification of PC survivors according to severity of multiple symptoms could assist in developing interventions tailored to survivors' needs.
Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer. 2021 Apr 13 [Epub ahead of print]
Salome Adam, Melissa S Y Thong, Eva Martin-Diener, Bertrand Camey, Céline Egger Hayoz, Isabelle Konzelmann, Seyed Mohsen Mousavi, Christian Herrmann, Sabine Rohrmann, Miriam Wanner, Katharina Staehelin, Räto T Strebel, Marco Randazzo, Hubert John, Hans-Peter Schmid, Anita Feller, Volker Arndt
National Institute for Cancer Epidemiology and Registration (NICER), c/o University of Zurich, Zurich, Switzerland., Unit of Cancer Survivorship, German Cancer Research Center (DKFZ), Heidelberg, Germany. ., Division of Chronic Disease Epidemiology, Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Zurich, Switzerland., Fribourg Cancer Registry, Fribourg, Switzerland., Health Observatory Valais, Valais Cancer Registry, Sion, Switzerland., Cancer Registry East Switzerland, St. Gallen, Switzerland., Basel Cancer Registry, Cantonal Department of Health, Basel, Switzerland., Department of Urology, Graubünden Cantonal Hospital, Chur, Switzerland., Department of Urology, GZO Spital Wetzikon AG, Wetzikon, Switzerland., Department of Urology, Winterthur Cantonal Hospital, Winterthur, Switzerland., Department of Urology, School of Medicine (Med-HSG), St. Gallen, Switzerland.