Departments of Medicine and Psychiatry and Biobehavioral Sciences, University of California-Los Angeles, Los Angeles, California.
Department of Biostatistics and Epidemiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania.
J Urol. 2017 Oct;198(4):848-857. doi: 10.1016/j.juro.2017.05.065. Epub 2017 May 18.
We examined baseline clinical and psychosocial characteristics that predict 12-month symptom change in men and women with urological chronic pelvic pain syndromes.
A total of 221 female and 176 male patients with urological chronic pelvic pain syndromes were recruited from 6 academic medical centers in the United States and evaluated at baseline with a comprehensive battery of symptom, psychosocial and illness-impact measures. Based on biweekly symptom reports, a functional clustering procedure classified participant outcome as worse, stable or improved on pain and urinary symptom severity. Cumulative logistic modeling was used to examine individual predictors associated with symptom change as well as multiple predictor combinations and interactions.
About 60% of participants had stable symptoms with smaller numbers (13% to 22%) showing clear symptom worsening or improvement. For pain and urinary outcomes the extent of widespread pain, amount of nonurological symptoms and poorer overall health were predictive of worsening outcomes. Anxiety, depression and general mental health were not significant predictors of outcomes but pain catastrophizing and self-reported stress were associated with pain outcome. Prediction models did not differ between men and women and for the most part they were independent of symptom duration and age.
These results demonstrate for the first time in a large multisite prospective study that presence of widespread pain, nonurological symptoms and poorer general health are risk factors for poorer pain and urinary outcomes in men and women. The results point to the importance of broad based assessment for urological chronic pelvic pain syndromes and future studies of the mechanisms that underlie these findings.
我们研究了基线临床和社会心理特征,这些特征可预测患有泌尿科慢性盆腔疼痛综合征的男性和女性患者在 12 个月时的症状变化。
总共招募了 221 名女性和 176 名男性泌尿科慢性盆腔疼痛综合征患者,他们在美国 6 个学术医疗中心接受了全面的症状、社会心理和疾病影响评估。基于双周症状报告,功能聚类程序将参与者的结局分类为疼痛和尿症状严重程度恶化、稳定或改善。累积逻辑回归模型用于检查与症状变化相关的个体预测因素以及多个预测因素组合和相互作用。
约 60%的参与者症状稳定,只有较小比例(13%至 22%)的参与者出现明显的症状恶化或改善。对于疼痛和尿症状结局,广泛疼痛的程度、非尿症状的数量和较差的整体健康状况与恶化的结局相关。焦虑、抑郁和一般心理健康不是结局的显著预测因素,但疼痛灾难化和自我报告的压力与疼痛结局相关。预测模型在男性和女性之间没有差异,并且在很大程度上独立于症状持续时间和年龄。
这些结果首次在一项大型多中心前瞻性研究中表明,广泛疼痛、非尿症状和较差的整体健康状况是男性和女性疼痛和尿结局较差的危险因素。这些结果表明,对于泌尿科慢性盆腔疼痛综合征进行广泛评估以及研究这些发现背后的机制非常重要。