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感觉决策理论和视觉模拟量表指标可预测慢性疼痛患者六个月后的状况。

Sensory decision theory and visual analogue scale indices predict status of chronic pain patients six months later.

作者信息

Yang J C, Clark W C, Janal M N

出版信息

J Pain Symptom Manage. 1991 Feb;6(2):58-64. doi: 10.1016/0885-3924(91)90519-a.

Abstract

Thirty-nine outpatients suffering from chronic pain were studied in a multidisciplinary program. Pain intensity on a visual analogue pain scale (VAPS), sensory decision indices of thermal discriminability, P(A), and pain report criterion, B, age and sex obtained before treatment, were used to predict the patients' status, determined by a follow-up questionnaire 6 mo later. The results showed that patients who were high on the VAPS at intake had shorter pain relief and decreased physical activities on follow-up. Patients with better thermal discriminability had greater pain relief, while those with low pain report criterion, that is, less stoical, demonstrated improved physical activity, and more social and hobby activities. Patients who were less stoical to thermal stimuli (lower pain criterion) took fewer centrally active drugs after treatment. Younger patients showed greater improvement at follow-up. The data indicate that the VAPS, thermal discriminability, and pain report criterion all predict the duration of pain relief after treatment. Nevertheless, each of these variables had its individual character. The VAPS was most efficient in predicting physical activities, thermal discriminability related best to pain relief, and pain report criterion to social and hobby activities as well as drug intake.

摘要

39名患有慢性疼痛的门诊患者参与了一项多学科项目研究。采用视觉模拟疼痛量表(VAPS)评估疼痛强度,通过热辨别能力的感觉决策指标P(A)以及疼痛报告标准B,并记录治疗前患者的年龄和性别,用于预测6个月后随访问卷所确定的患者状况。结果显示,治疗开始时VAPS评分高的患者,随访时疼痛缓解时间较短,身体活动减少。热辨别能力较好的患者疼痛缓解程度更大,而疼痛报告标准较低(即坚忍度较低)的患者身体活动有所改善,社交和业余活动也更多。对热刺激坚忍度较低(疼痛标准较低)的患者治疗后服用的中枢活性药物较少。年轻患者随访时改善更为明显。数据表明,VAPS、热辨别能力和疼痛报告标准均能预测治疗后疼痛缓解的持续时间。然而,这些变量各自具有独特的特点。VAPS在预测身体活动方面最有效,热辨别能力与疼痛缓解的相关性最佳,疼痛报告标准与社交和业余活动以及药物摄入相关。

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