Clinical Utility of Leeds Dependence Questionnaire in Medication-Overuse Headache

Author:

Wang Yen-Feng123ORCID,Tzeng Yi-Shiang1,Yu Chia-Chun1,Ling Yu-Hsiang1,Chen Shih-Pin1234ORCID,Lai Kuan-Lin123,Wang Shuu-Jiun123

Affiliation:

1. Department of Neurology, Neurological Institute, Taipei Veterans General Hospital, Taipei 11217, Taiwan

2. School of Medicine, National Yang Ming Chiao Tung University, Taipei 11217, Taiwan

3. Brain Research Center, National Yang Ming Chiao Tung University, Taipei 11217, Taiwan

4. Division of Translational Research, Department of Medical Research, Taipei Veterans General Hospital, Taipei 11217, Taiwan

Abstract

Dependence behaviors are common in patients with medication-overuse headache (MOH). This prospective study aimed to characterize dependence behaviors in MOH by using Leeds dependence questionnaire (LDQ), and to determine the clinical utility of LDQ in the diagnosis of MOH. In total, 563 consecutive chronic migraine (CM) patients (451F/112M, mean age 41.7 ± 12.0 years) were recruited, including 320 with MOH (56.8%) (254F/66M, mean age 42.3 ± 11.6 years). LDQ scores were positively correlated with the monthly frequency of acute medication use (Spearman’s rho = 0.680, p < 0.001). When compared with patients without, those with MOH scored higher on LDQ (13.0 ± 7.6 vs. 3.9 ± 5.1, p < 0.001). By using a receiver operating characteristics curve, the cutoff value of LDQ was determined at 7 (sensitivity = 77.5%, specificity = 77.4%, area under curve = 0.85) for a diagnosis of MOH. An LDQ score of ≥7 was predictive of MOH (odds ratio = 11.80, 95% confidence interval = 7.87–17.67, p < 0.001). In conclusion, the presence of MOH in patients with CM is associated with more severe dependence behaviors. An LDQ score of ≥7 is useful in the detection of MOH in CM patients.

Funder

Taiwan Ministry of Science and Technology

Taipei Veterans General Hospital

Publisher

MDPI AG

Subject

Clinical Biochemistry

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3