Lipton Richard B, Bigal Marcelo E, Ashina Sait, Burstein Rami, Silberstein Stephen, Reed Michael L, Serrano Daniel, Stewart Walter F
Department of Neurology, Albert Einstein College of Medicine, Bronx, NY 10461, USA.
Ann Neurol. 2008 Feb;63(2):148-58. doi: 10.1002/ana.21211.
To develop and validate a questionnaire for assessing cutaneous allodynia (CA), and to estimate the prevalence and severity of CA in the migraine population.
Migraineurs (n = 11,388) completed the Allodynia Symptom Checklist, assessing the frequency of allodynia symptoms during headache. Response options were never (0), rarely (0), less than 50% of the time (1), > or = 50% of the time (2), and none (0). We used item response theory to explore how well each item discriminated CA. The relations of CA to headache features were examined.
All 12 questions had excellent item properties. The greatest discrimination occurred with CA during "taking a shower" (discrimination = 2.54), wearing a necklace (2.39) or ring (2.31), and exposure to heat (2.1) or cold (2.0). The factor analysis demonstrated three factors: thermal, mechanical static, and mechanical dynamic. Based on the psychometrics, we developed a scale distinguishing no CA (scores 0-2), mild (3-5), moderate (6-8), and severe (> or = 9). The prevalence of allodynia among migraineurs was 63.2%. Severe CA occurred in 20.4% of migraineurs. CA was associated with migraine defining features (eg, unilateral pain: odds ratio, 2.3; 95% confidence interval, 2.0-2.4; throbbing pain: odds ratio, 2.3; 95% confidence interval, 2.1-2.6; nausea: odds ratio, 2.3; 95% confidence interval, 2.1-2.6), as well as illness duration, attack frequency, and disability.
The Allodynia Symptom Checklist measures overall allodynia and subtypes. CA affects 63% of migraineurs in the population and is associated with frequency, severity, disability, and associated symptoms of migraine. CA maps onto migraine biology.
编制并验证一份用于评估皮肤异常性疼痛(CA)的问卷,并估计偏头痛人群中CA的患病率及严重程度。
偏头痛患者(n = 11388)完成了异常性疼痛症状清单,评估头痛期间异常性疼痛症状的发生频率。回答选项为从不(0)、很少(0)、少于50%的时间(1)、≥50%的时间(2)及无(0)。我们运用项目反应理论来探究每个项目对CA的区分能力。研究了CA与头痛特征之间的关系。
所有12个问题均具有出色的项目属性。在“洗澡”时CA的区分能力最强(区分度 = 2.54),佩戴项链(2.39)或戒指(2.31)时,以及接触热(2.1)或冷(2.0)时也是如此。因子分析显示有三个因子:热、机械静态和机械动态。基于心理测量学,我们制定了一个量表,区分无CA(得分0 - 2)、轻度(3 - 5)、中度(6 - 8)和重度(≥9)。偏头痛患者中异常性疼痛的患病率为63.2%。20.4%的偏头痛患者出现重度CA。CA与偏头痛的定义特征相关(例如,单侧疼痛:优势比,2.3;95%置信区间,2.0 - 2.4;搏动性疼痛:优势比,2.3;95%置信区间,2.1 - 2.6;恶心:优势比,2.3;95%置信区间,2.1 - 2.6),还与病程、发作频率及残疾情况相关。
异常性疼痛症状清单可测量总体异常性疼痛及其亚型。CA影响该人群中63%的偏头痛患者,并与偏头痛的频率、严重程度、残疾情况及相关症状相关。CA与偏头痛生物学相关。