Shi Qiuling, Mendoza Tito R, Dueck Amylou C, Ma Haijun, Zhang Jeffrey, Qian Yi, Bhowmik Debajyoti, Cleeland Charles S
aDepartment of Symptom Research, The University of Texas MD Anderson Cancer Center, Houston, TX, USA bDepartment of Biostatistics, Mayo Clinic in Arizona, Scottsdale, AZ, USA cAmgen, Thousand Oaks, CA, USA.
Pain. 2017 Jun;158(6):1108-1112. doi: 10.1097/j.pain.0000000000000890.
Effective assessment and management of pain in patients with cancer is strengthened by the patient's report of how much pain interferes with daily functioning. This requires a clear delineation of different levels of pain interference. We derived optimal cutpoints for differentiating between mild, moderate, and severe pain interference assessed by the Brief Pain Inventory (BPI) and describe the prevalence and characteristics of pain-induced functional impairment in patients with cancer. Data were pooled across 3 Phase III pivotal trials. Patient-completed questionnaires included the EuroQol 5 dimensions questionnaire (EQ5D), Functional Assessment of Cancer Therapy-General Measure (FACT-G), and BPI. Optimal cutpoints for categorizing pain interference into 3 levels were derived using analysis of variance, with different cutpoint sets for BPI total interference (BPI-PITS, the average score of all 7 items), activity-related interference (BPI-WAW, the average score of work, general activity, and walking), and mood-related interference (BPI-REM, the average score of relations with others, enjoyment of life, and mood) as independent variables and EQ5D-visual analog scale and total FACT-G score as dependent variables. To validate the cutpoints, we assessed whether interference categories were in concordance with Eastern Cooperative Oncology Group performance status (ECOG-PS) levels. The optimal cutpoints were (2,5) for BPI-PITS, (2,6) for BPI-WAW, and (2,5) for BPI-REM. The mild (<2), moderate (2-5 or 2-6), and severe (>5 or >6) pain interference groups were significantly concordant with ECOG-PS levels (P < 0.0001). We empirically derived patient-reported pain interference categories in relation to clinician-rated performance status. These cutpoints may facilitate the conduct and interpretation of clinical evaluation, symptom epidemiology, and clinical trials.
患者报告疼痛对日常功能的干扰程度,有助于加强对癌症患者疼痛的有效评估和管理。这需要明确划分不同程度的疼痛干扰。我们得出了用于区分由简明疼痛量表(BPI)评估的轻度、中度和重度疼痛干扰的最佳切点,并描述了癌症患者疼痛所致功能障碍的患病率和特征。数据来自3项III期关键试验。患者填写的问卷包括欧洲五维健康量表(EQ5D)、癌症治疗功能评估通用量表(FACT-G)和BPI。使用方差分析得出将疼痛干扰分为3个级别的最佳切点,以BPI总干扰(BPI-PITS,所有7项的平均得分)、活动相关干扰(BPI-WAW,工作、一般活动和行走的平均得分)和情绪相关干扰(BPI-REM,与他人关系、生活乐趣和情绪的平均得分)作为自变量,EQ5D视觉模拟量表和FACT-G总分作为因变量。为了验证这些切点,我们评估了干扰类别是否与东部肿瘤协作组体能状态(ECOG-PS)水平一致。BPI-PITS的最佳切点为(2,5),BPI-WAW为(2,6),BPI-REM为(2,5)。轻度(<2)、中度(2 - 5或2 - 6)和重度(>5或>6)疼痛干扰组与ECOG-PS水平显著一致(P < 0.0001)。我们根据经验得出了与临床医生评定的体能状态相关的患者报告疼痛干扰类别。这些切点可能有助于临床评估、症状流行病学和临床试验的开展及解释。