H C Lie1, M J Hjermstad2, P Fayers3, A Finset4, S Kaasa5, J H Loge6. 1. Department of Behavioral Sciences in Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway; National Resource Centre for Late Effects after Cancer Treatment, Department of Oncology, Oslo University Hospital, Oslo, Norway. Electronic address: h.c.lie@medisin.uio.no. 2. European Palliative Care Research Centre, Department of Cancer Research and Molecular Medicine, Faculty of Medicine, Norwegian University of Science and Technology, Trondheim, Norway; Regional Centre for Excellence in Palliative Care, Department of Oncology, Oslo University Hospital, Oslo, Norway. 3. European Palliative Care Research Centre, Department of Cancer Research and Molecular Medicine, Faculty of Medicine, Norwegian University of Science and Technology, Trondheim, Norway; Institute of Applied Health Sciences, University of Aberdeen, Aberdeen, UK. 4. Department of Behavioral Sciences in Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway. 5. European Palliative Care Research Centre, Department of Cancer Research and Molecular Medicine, Faculty of Medicine, Norwegian University of Science and Technology, Trondheim, Norway; Department of Oncology, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway. 6. Department of Behavioral Sciences in Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway; Regional Centre for Excellence in Palliative Care, Department of Oncology, Oslo University Hospital, Oslo, Norway.
Abstract
BACKGROUND: Patients with advanced cancer commonly experience multiple somatic symptoms and declining functioning. Some highly prevalent symptoms also overlap with diagnostic symptom-criteria of depression. Thus, assessing depression in these patients can be challenging. We therefore investigated 1) the effect of different scoring-methods of depressive symptoms on detecting depression, and 2) the relationship between disease load and depression amongst patients with advanced cancer. METHODS: The sample included 969 patients in the European Palliative Care Research Collaborative-Computer Symptom Assessment Study (EPCRC-CSA). Inclusion criteria were: incurable metastatic/locally advanced cancer and ≥ 18 years. Biomarkers and length of survival were registered from patient-records. Depression was assessed using the Patient Health Questionnaire (PHQ-9) and applying three scoring-methods: inclusive (algorithm scoring including the somatic symptom-criteria), exclusive (algorithm scoring excluding the somatic symptom-criteria) and sum-score (sum of all symptoms with a cut-off ≥ 8). RESULTS: Depression prevalence rates varied according to scoring-method: inclusive 13.7%, exclusive 14.9% and sum-score 45.3%. Agreement between the algorithm scoring-methods was excellent (Kappa = 0.81), but low between the inclusive and sum scoring-methods (Kappa = 0.32). Depression was significantly associated with more pain (OR-range: 1.09-1.19, p < 0.001-0.04) and lower performance status (KPS-score, OR-range = 0.68-0.72, p < 0.001) irrespective of scoring-method. LIMITATIONS: Depression was assessed using self-report, not clinical interviews. CONCLUSIONS: The scoring-method, not excluding somatic symptoms, had the greatest effect on assessment outcomes. Increasing pain and poorer than expected physical condition should alert clinicians to possible co-morbid depression. The large discrepancy in prevalence rates between scoring-methods reinforces the need for consensus and validation of depression definitions and assessment in populations with high disease load.
BACKGROUND:Patients with advanced cancer commonly experience multiple somatic symptoms and declining functioning. Some highly prevalent symptoms also overlap with diagnostic symptom-criteria of depression. Thus, assessing depression in these patients can be challenging. We therefore investigated 1) the effect of different scoring-methods of depressive symptoms on detecting depression, and 2) the relationship between disease load and depression amongst patients with advanced cancer. METHODS: The sample included 969 patients in the European Palliative Care Research Collaborative-Computer Symptom Assessment Study (EPCRC-CSA). Inclusion criteria were: incurable metastatic/locally advanced cancer and ≥ 18 years. Biomarkers and length of survival were registered from patient-records. Depression was assessed using the Patient Health Questionnaire (PHQ-9) and applying three scoring-methods: inclusive (algorithm scoring including the somatic symptom-criteria), exclusive (algorithm scoring excluding the somatic symptom-criteria) and sum-score (sum of all symptoms with a cut-off ≥ 8). RESULTS:Depression prevalence rates varied according to scoring-method: inclusive 13.7%, exclusive 14.9% and sum-score 45.3%. Agreement between the algorithm scoring-methods was excellent (Kappa = 0.81), but low between the inclusive and sum scoring-methods (Kappa = 0.32). Depression was significantly associated with more pain (OR-range: 1.09-1.19, p < 0.001-0.04) and lower performance status (KPS-score, OR-range = 0.68-0.72, p < 0.001) irrespective of scoring-method. LIMITATIONS: Depression was assessed using self-report, not clinical interviews. CONCLUSIONS: The scoring-method, not excluding somatic symptoms, had the greatest effect on assessment outcomes. Increasing pain and poorer than expected physical condition should alert clinicians to possible co-morbid depression. The large discrepancy in prevalence rates between scoring-methods reinforces the need for consensus and validation of depression definitions and assessment in populations with high disease load.
Authors: Martina Ferioli; Giorgio Zauli; Alberto M Martelli; Marco Vitale; James A McCubrey; Simona Ultimo; Silvano Capitani; Luca M Neri Journal: Oncotarget Date: 2018-02-08
Authors: Ragnhild Habberstad; Trude Camilla Salvesen Frøseth; Nina Aass; Tatiana Abramova; Theo Baas; Siri Tessem Mørkeset; Augusto Caraceni; Barry Laird; Jason W Boland; Romina Rossi; Elena Garcia-Alonso; Hanne Stensheim; Jon Håvard Loge; Marianne Jensen Hjermstad; Ellen Bjerkeset; Asta Bye; Jo-Åsmund Lund; Tora Skeidsvoll Solheim; Ola Magne Vagnildhaug; Cinzia Brunelli; Jan Kristian Damås; Tom Eirik Mollnes; Stein Kaasa; Pål Klepstad Journal: BMC Palliat Care Date: 2018-09-28 Impact factor: 3.234