Application of PainDETECT in pediatric chronic pain: how well does it identify neuropathic pain and its characteristics?

IF 3.4 Q2 NEUROSCIENCES Pain Reports Pub Date : 2023-11-28 eCollection Date: 2023-12-01 DOI:10.1097/PR9.0000000000001109
Courtney W Hess, Amanda R Van Orden, Giulia Mesaroli, Jennifer N Stinson, David Borsook, Laura E Simons
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Abstract

Introduction: Neuropathic pain (NP) arises from nerve damage or disease, and when not defined, it can impair function and quality of life. Early detection allows for interventions that can enhance outcomes. Diagnosis of NP can be difficult if not properly evaluated. PainDETECT is a NP screening tool developed and successfully used in adults.

Objectives: We evaluated the validity of painDETECT in a pediatric population.

Methods: Adolescents and young adults (10-19 years old) completed painDETECT and quantitative sensory testing (QST), which assessed mechanical allodynia and hyperalgesia, common symptoms of NP. Pain diagnoses, including neuropathic pain (n = 10), were collected through documentation in the medical chart. Descriptive statistics were used to examine age, gender, pain diagnoses, and painDETECT scores. Kruskal-Wallis H tests were conducted to examine differences in QST results across painDETECT categorizations.

Results: Youth with chronic pain (N = 110, Mage = 15.08 ± 2.4 years, Nfemale = 88) and peers without pain (N = 55, Mage = 15.84 ± 3.9 years, Nfemale = 39) completed the painDETECT. The painDETECT scores for youth with pain (M = 12.7 ± 6.76) were significantly higher than those for peers without pain (M = 2.05 ± 2.41). PainDETECT demonstrated 80% sensitivity and 33% specificity in a pediatric population. Individuals who screened positively on the PainDETECT had significantly higher mechanical allodynia (M = 0.640 ± 0.994) compared with those who screened negatively (M = 0.186 ± 0.499; P = 0.016).

Conclusion: PainDETECT demonstrated the ability to screen for NP, and QST mechanical allodynia results were consistent with a positive NP screen. Results of the study offer preliminary support for the ongoing assessment of the painDETECT as a brief, inexpensive, and simple-to-use screening tool for pediatric patients with primary pain complaints.

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PainDETECT在儿童慢性疼痛中的应用:它如何识别神经性疼痛及其特征?
神经性疼痛(NP)是由神经损伤或疾病引起的,如果没有明确的定义,它可以损害功能和生活质量。早期发现有助于采取干预措施,提高治疗效果。诊断NP可能是困难的,如果没有适当的评估。PainDETECT是一种开发并成功用于成人NP筛查的工具。目的:我们评估painDETECT在儿科人群中的有效性。方法:青少年和年轻人(10-19岁)完成了painDETECT和定量感觉测试(QST),评估了NP的常见症状机械异常性痛和痛觉过敏。通过病历记录收集疼痛诊断,包括神经性疼痛(n = 10)。描述性统计用于检查年龄、性别、疼痛诊断和painDETECT评分。进行Kruskal-Wallis H测试以检查不同painDETECT分类中QST结果的差异。结果:有慢性疼痛的青年(N = 110,男= 15.08±2.4年,女= 88)和无疼痛的同龄人(N = 55,男= 15.84±3.9年,女= 39)完成了painDETECT。有疼痛的青少年的painDETECT评分(M = 12.7±6.76)显著高于无疼痛的同龄人(M = 2.05±2.41)。PainDETECT在儿科人群中显示出80%的敏感性和33%的特异性。PainDETECT筛查阳性个体的机械异常性痛发生率(M = 0.640±0.994)显著高于筛查阴性个体(M = 0.186±0.499;P = 0.016)。结论:PainDETECT显示了筛查NP的能力,QST机械异常性痛的结果与NP阳性筛查一致。该研究的结果为painDETECT作为一种简单、廉价、易于使用的儿科疼痛主诉筛查工具的持续评估提供了初步支持。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Pain Reports
Pain Reports Medicine-Anesthesiology and Pain Medicine
CiteScore
7.50
自引率
2.10%
发文量
93
审稿时长
8 weeks
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