Development and external validation of a migraine analgesic usage (MAU) index for identifying high-severity migraine: A multi-center study.

IF 5.8 2区 医学 Q1 CLINICAL NEUROLOGY
Cephalalgia Pub Date : 2026-09-01 Epub Date: 2026-09-10 DOI:10.1177/03331024261478621
Hui Li, Xiaonuo Xu, Linyi Che, Xiaoping Fan, Ge Tan, Jingxi Ma, Qi Pan, Peiwei Hong, Chengqing Zhong, Jiao Li, Xiaorong Chen, Liang Dong, Jiying Zhou
{"title":"Development and external validation of a migraine analgesic usage (MAU) index for identifying high-severity migraine: A multi-center study.","authors":"Hui Li, Xiaonuo Xu, Linyi Che, Xiaoping Fan, Ge Tan, Jingxi Ma, Qi Pan, Peiwei Hong, Chengqing Zhong, Jiao Li, Xiaorong Chen, Liang Dong, Jiying Zhou","doi":"10.1177/03331024261478621","DOIUrl":null,"url":null,"abstract":"<p><p>AimTo determine whether a two-variable scorecard combining monthly acute medication days and the six-item Migraine Treatment Optimization Questionnaire can identify high multidimensional migraine burden, defined operationally as a four-domain composite (monthly migraine days, acute medication days, pain intensity, and disability) score ≥50 (range 0-100), with sufficient discrimination and clinical utility for bedside triage.MethodsWe performed a cross-sectional analysis of baseline data from a multicenter, prospective, real-world migraine registry in China (enrolment January 2024 - December 2025). Adults with migraine and complete data for the four-domain composite and the six-item Migraine Treatment Optimization Questionnaire were included (total sample, 1161; derivation cohort, 344; external validation cohort, 817). A two-predictor logistic regression model was developed at the coordinating center and validated at the remaining centers. Bootstrap-adjusted discrimination and calibration were assessed. A categorical version of the model was converted into an integer scorecard (0-11 points) with decision-curve-derived triage zones.ResultsThe area under the receiver operating characteristic curve was 0.899 (95% confidence interval 0.863-0.935) in derivation and 0.866 (0.837-0.895) in external validation. Calibration in the validation cohort showed systematic overestimation (expected-to-observed ratio 1.85); after intercept recalibration, the Brier score decreased from 0.14 to 0.11. Decision curve analysis showed net benefit across threshold probabilities 0.10-0.50. In validation, the Green zone (score ≤2) included 313 participants (38.3%) with a negative predictive value of 0.98; the Yellow zone (score 3-4) included 180 (22.0%); and the Red zone (score ≥5) included 324 (39.7%) with a positive predictive value of 0.45. Monthly acute medication days accounted for most of the discriminative performance; the treatment-optimization component provided additional stratification, particularly in the intermediate medication-use range (4-14 days/month).ConclusionThe Migraine Analgesic Usage Index offers a concise, externally validated triage aid for identifying high multidimensional migraine burden as defined by the four-domain composite. It may help prioritize comprehensive assessment but does not replace clinical evaluation. Prospective studies should test whether index-guided triage improves decision quality and patient outcomes.Trial registrationChinese Clinical Trial Registry, https://www.chictr.org.cn/, ChiCTR2400083678.</p>","PeriodicalId":10075,"journal":{"name":"Cephalalgia","volume":"46 9","pages":"3331024261478621"},"PeriodicalIF":5.8000,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cephalalgia","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1177/03331024261478621","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/9/10 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

AimTo determine whether a two-variable scorecard combining monthly acute medication days and the six-item Migraine Treatment Optimization Questionnaire can identify high multidimensional migraine burden, defined operationally as a four-domain composite (monthly migraine days, acute medication days, pain intensity, and disability) score ≥50 (range 0-100), with sufficient discrimination and clinical utility for bedside triage.MethodsWe performed a cross-sectional analysis of baseline data from a multicenter, prospective, real-world migraine registry in China (enrolment January 2024 - December 2025). Adults with migraine and complete data for the four-domain composite and the six-item Migraine Treatment Optimization Questionnaire were included (total sample, 1161; derivation cohort, 344; external validation cohort, 817). A two-predictor logistic regression model was developed at the coordinating center and validated at the remaining centers. Bootstrap-adjusted discrimination and calibration were assessed. A categorical version of the model was converted into an integer scorecard (0-11 points) with decision-curve-derived triage zones.ResultsThe area under the receiver operating characteristic curve was 0.899 (95% confidence interval 0.863-0.935) in derivation and 0.866 (0.837-0.895) in external validation. Calibration in the validation cohort showed systematic overestimation (expected-to-observed ratio 1.85); after intercept recalibration, the Brier score decreased from 0.14 to 0.11. Decision curve analysis showed net benefit across threshold probabilities 0.10-0.50. In validation, the Green zone (score ≤2) included 313 participants (38.3%) with a negative predictive value of 0.98; the Yellow zone (score 3-4) included 180 (22.0%); and the Red zone (score ≥5) included 324 (39.7%) with a positive predictive value of 0.45. Monthly acute medication days accounted for most of the discriminative performance; the treatment-optimization component provided additional stratification, particularly in the intermediate medication-use range (4-14 days/month).ConclusionThe Migraine Analgesic Usage Index offers a concise, externally validated triage aid for identifying high multidimensional migraine burden as defined by the four-domain composite. It may help prioritize comprehensive assessment but does not replace clinical evaluation. Prospective studies should test whether index-guided triage improves decision quality and patient outcomes.Trial registrationChinese Clinical Trial Registry, https://www.chictr.org.cn/, ChiCTR2400083678.

开发和外部验证偏头痛止痛药使用(MAU)指数识别高严重偏头痛:一项多中心研究。
目的确定结合每月急性用药天数和六项偏头痛治疗优化问卷的双变量记分卡是否可以识别高多维度偏头痛负担,操作上定义为四域复合评分(每月偏头痛天数,急性用药天数,疼痛强度和残疾)≥50(范围0-100),具有足够的区分和临床应用于床边分诊。方法:我们对来自中国多中心、前瞻性、真实偏头痛登记(入组时间为2024年1月至2025年12月)的基线数据进行了横断面分析。纳入四域复合问卷和六项偏头痛治疗优化问卷的成人偏头痛患者和完整数据(总样本1161人,衍生队列344人,外部验证队列817人)。在协调中心建立了一个双预测器逻辑回归模型,并在其他中心进行了验证。评估了自举调整的判别和校准。该模型的分类版本被转换成一个整数记分卡(0-11分),带有决策曲线衍生的分类区。结果推导结果为0.899(95%置信区间0.863 ~ 0.935),外部验证结果为0.866(95%置信区间0.837 ~ 0.895)。验证队列的校准显示系统性高估(期望与观察比1.85);截距重新校准后,Brier评分从0.14降至0.11。决策曲线分析显示,净收益超过阈值概率0.10-0.50。在验证中,绿区(评分≤2)包括313名参与者(38.3%),负预测值为0.98;黄区(得分3-4)有180只(22.0%);红色区(评分≥5)324例(39.7%),阳性预测值为0.45。月急性用药天数占判别性能的大部分;治疗优化部分提供了额外的分层,特别是在中间用药范围(4-14天/月)。结论偏头痛镇痛药使用指数为识别高多维度偏头痛负担提供了一种简明、外部有效的分诊辅助工具。它可能有助于优先考虑综合评估,但不能取代临床评估。前瞻性研究应该测试索引引导的分诊是否能提高决策质量和患者预后。中国临床试验注册中心,https://www.chictr.org.cn/, ChiCTR2400083678。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Cephalalgia
Cephalalgia 医学-临床神经学
CiteScore
10.10
自引率
6.10%
发文量
108
审稿时长
4-8 weeks
期刊介绍: Cephalalgia contains original peer reviewed papers on all aspects of headache. The journal provides an international forum for original research papers, review articles and short communications. Published monthly on behalf of the International Headache Society, Cephalalgia''s rapid review averages 5 ½ weeks from author submission to first decision.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信
小红书