Suppr超能文献

基于 ICHD-3 beta 的原发性头痛障碍诊断指南为基础的决策支持系统的验证。

Validation of a guideline-based decision support system for the diagnosis of primary headache disorders based on ICHD-3 beta.

机构信息

International Headache Center, Department of Neurology, Chinese PLA General Hospital, Fuxing Road 28, Haidian District, Beijing 100853, China.

出版信息

J Headache Pain. 2014 Jun 16;15(1):40. doi: 10.1186/1129-2377-15-40.

Abstract

BACKGROUND

China may have the largest population of headache sufferers and therefore the most serious burden of disease worldwide. However, the rate of diagnosis for headache disorders is extremely low, possibly due to the relative complexity of headache subtypes and diagnostic criteria. The use of computerized clinical decision support systems (CDSS) seems to be a better choice to solve this problem.

METHODS

We developed a headache CDSS based on ICHD-3 beta and validated it in a prospective study that included 543 headache patients from the International Headache Center at the Chinese PLA General hospital, Beijing, China.

RESULTS

We found that the CDSS correctly recognized 159/160 (99.4%) of migraine without aura, 36/36 (100%) of migraine with aura, 20/21 (95.2%) of chronic migraine, and 37/59 (62.7%) of probable migraine. This system also correctly identified 157/180 (87.2%) of patients with tension-type headache (TTH), of which infrequent episodic TTH was diagnosed in 12/13 (92.3%), frequent episodic TTH was diagnosed in 99/101 (98.0%), chronic TTH in 18/20 (90.0%), and probable TTH in 28/46 (60.9%). The correct diagnostic rates of cluster headache and new daily persistent headache (NDPH) were 90.0% and 100%, respectively. In addition, the system recognized 32/32 (100%) of patients with medication overuse headache.

CONCLUSIONS

With high diagnostic accuracy for most of the primary and some types of secondary headaches, this system can be expected to help general practitioners at primary hospitals improve diagnostic accuracy and thereby reduce the burden of headache in China.

摘要

背景

中国可能拥有全球最大的头痛患者群体,因此也承受着全球最严重的疾病负担。然而,头痛疾病的诊断率却极低,这可能是由于头痛的亚型和诊断标准较为复杂。使用计算机临床决策支持系统(CDSS)似乎是解决这一问题的更好选择。

方法

我们基于 ICHD-3 beta 开发了一款头痛 CDSS,并在中国人民解放军总医院国际头痛中心进行了前瞻性研究来验证其性能,该研究共纳入了 543 名头痛患者。

结果

我们发现,该 CDSS 正确识别了 160 例无先兆偏头痛中的 159 例(99.4%)、36 例有先兆偏头痛中的 36 例(100%)、21 例慢性偏头痛中的 20 例(95.2%)和 59 例可能偏头痛中的 37 例(62.7%)。该系统还正确识别了 180 例紧张型头痛(TTH)中的 157 例(87.2%),其中偶发性 TTH 诊断准确 13 例(92.3%)、频发性 TTH 诊断准确 101 例(98.0%)、慢性 TTH 诊断准确 20 例(90.0%)和可能 TTH 诊断准确 46 例(60.9%)。丛集性头痛和新发作持续性每日头痛(NDPH)的正确诊断率分别为 90.0%和 100%。此外,该系统正确识别了 32 例药物过度使用性头痛患者。

结论

该系统对大多数原发性头痛和部分继发性头痛的诊断准确率较高,有望帮助基层医院的全科医生提高诊断准确率,从而减轻中国的头痛负担。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/752e/4074417/53f314c46fac/1129-2377-15-40-1.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验