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Int. J. Radiat. Oncol. Biol. Phys. · Aug 2018
Multicenter Study Observational StudyPredictors of Pain Palliation After Radiation Therapy for Painful Tumors: A Prospective Observational Study.
- Tetsuo Saito, Ryo Toya, Etsushi Tomitaka, Tomohiko Matsuyama, Satoshi Ninomura, and Natsuo Oya.
- Department of Radiation Oncology, Kumamoto University Hospital, Kumamoto, Japan; Department of Radiation Oncology, Hitoyoshi Medical Center, Kumamoto, Japan. Electronic address: tsaito@kumamoto-u.ac.jp.
- Int. J. Radiat. Oncol. Biol. Phys. 2018 Aug 1; 101 (5): 1061-1068.
PurposeAlthough radiation therapy (RT) is an important part of treatment for cancer pain, prediction of the patient's pain response remains difficult. We evaluated the characteristics of patients, their tumors, and their pain to identify the predictors of pain palliation after RT for painful tumors.MethodsOur 3-center prospective observational study included patients scheduled for palliative or curative RT for painful tumors. Brief Pain Inventory data were collected at the start of RT and 1, 2, and 3 months thereafter. The pain response was assessed using the International Consensus Endpoint. The Mann-Whitney U-test was used to compare responders and nonresponders based on changes in the BPI scores. Predictors of the pain response were evaluated using the Fine-Gray model, in which death without a pain response was recorded as a competing risk. The independent variables were 11 a priori selected potential predictors with clinical relevance.ResultsOf 302 analyzable patients, 262 (87%) had solid and 40 (13%) had hematologic tumors. The median total radiation dose was 30 Gy (range, 6-70.4 Gy). The pain response rate was 52% for 264 (87%) evaluable patients at 1-, 57% for 228 (75%) such patients at 2-, and 58% for 182 (60%) evaluable patients at 3-month follow-up. At 2-month follow-up, responders experienced a greater decrease in all 7 pain interference subscales of the Brief Pain Inventory compared to nonresponders. Multivariable analysis demonstrated that hematologic tumors (hazard ratio [HR], 1.85; 95% confidence interval [CI], 1.15-2.98), a neuropathic component of the index pain (HR, 1.50; 95% CI, 1.05-2.14), and opioid analgesic use before RT (HR, 0.65; 95% CI, 0.47-0.91) were independent significant predictors of pain response.ConclusionsPatients with hematologic tumors, a neuropathic component of the index pain, and no treatment with opioid analgesics before RT were more likely to experience pain palliation after RT.Copyright © 2018 The Author(s). Published by Elsevier Inc. All rights reserved.
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