减轻中国头痛的负担：以SMART方式管理偏头痛

Lifting the burden of headache in China: managing migraine in

📁 04_治理
中文 English

减轻中国头痛的负担：以SMART方式管理偏头痛

DOI: https://doi.org/10.1186/s10194-017-0790-6

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摘要-总结

本项目在全球抗头痛运动（Global Campaign against Headache）框架内开展，研究结果表明头痛疾病对中国公共健康产生了重大的不良影响。

作为在全国范围内实施头痛服务的重要支撑，全球抗头痛运动第三阶段（干预阶段）——继续医学教育（CME）项目"头痛学校"（Headache Schools）——得以建立。

随着我们在继续医学教育中推广SMART方法，我们可以利用计算机化临床决策支持系统的数据库来评估其对治疗结果的影响。

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通信/发现

调查的一个发现是，中国偏头痛患者的医疗需求与诊治他们的神经科医师等头痛管理人员的诊断和治疗技能之间存在巨大差距[531]。

作为教育培训活动和临床实践培训的一部分，一种被称为"SMART"（筛查[Screen]、偏头痛[Migraine]、先兆[Aura]、红旗[Red flag]和治疗[Treatment]）的系统性、可操作的疾病管理模型被引入，以标准化偏头痛的临床诊断和治疗方法。

这一疾病管理模型为从业者提供了增强其原发性头痛（尤其是偏头痛）知识的机会，并运用这些知识改善日常实践和临床结果。

该模型的筛查（Screen）元素强调使用经过验证的量表来识别头痛患者中可能的偏头痛——这是成功管理的第一步。

在头痛门诊中，医疗保健提供者已将临床决策支持系统（CDSS）与SMART相结合，以优化头痛疾病（尤其是偏头痛）的管理。

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致谢

本摘要基于Yu Shengyuan和Steiner Timothy J.于2017年发表于《The Journal of Headache and Pain》的研究成果，由机器生成。

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参考文献

（原文包含530条参考文献，以下列出与本研究核心内容最关键的参考文献，完整参考文献列表请参阅原文。）

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附录：原文第2章 机制

引言

关于偏头痛机制知识所依赖的大量证据为今天开辟了全新的场景，并为强有力的应用药理学项目奠定了基础。基于遗传学和分子生物学的数据网络使我们能够更全面地理解与其他广泛临床医学疾病的因果或偶然关联。行为、环境、外源或内源因素如何通过表观遗传学影响表型，现在已成为理解偏头痛起源和发生的完整图景的关键信息。

机器生成摘要

<h4>1. 机制</h4>

机器生成关键词：基因、遗传、偏头痛患者、激素、发作间期、先兆、SNPs、触发因素、睡眠、前庭、评分、压力、表达、男性、发作性偏头痛

<h4>2.1 遗传学</h4>

机器生成关键词：基因、遗传、SNPs、多态性、变异、GWAS、基因型、表达、基因座、易感性、荟萃分析、偏头痛易感性、先兆、亚型、tagentityend

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