怀孕中偏头痛的识别和特征:基于挪威登记册的队列研究
Vera R Mitter1,2, Angela Lupattelli1, Marte-Helene Bjørk3,4,5
1PharmacoEpidemiology and Drug Safety Research Group, Department of Pharmacy, Faculty of Mathematics and Natural Sciences, University of Oslo, Oslo, Norway.
Cephalalgia : an international journal of headache
|April 25, 2024
概括
使用电子健康记录和药物发行数据开发算法有助于识别偏头痛的孕妇. 这有助于研究怀孕期间偏头痛治疗的安全性.
科学领域:
- 围产期流行病学 围产期流行病学
- 药学流行病学 药学流行病学
- 神经学 神经学
背景情况:
- 偏头痛在生育年龄的女性中很普遍,这给怀孕期间药物安全性研究带来了挑战.
- 在电子健康登记册中准确识别偏头痛对于研究至关重要.
研究的目的:
- 开发和验证在电子医疗保健注册表中识别和表征偏头痛的算法.
- 评估患有偏头痛的孕妇的护理水平.
主要方法:
- 连接了四个注册表以确定怀孕情况 (2009-2018).
- 采用了三种算法:诊断码,三药剂,或其组合.
- 通过分发药物评估偏头痛的严重程度,并使用ICD-10代码分类亚型.
主要成果:
- 包括来自367,908名妇女的535,089例怀孕.
- 偏头痛的患病率有所不同:在怀孕前为2.9%-4.3%,怀孕期间为0.8%-1.5%.
- 患有偏头痛的孕妇主要在初级保健机构得到治疗.
结论:
- 电子健康登记册与药物发行数据相结合,有效地识别了孕妇的偏头痛.
- 二级护理数据和药物处方增强了偏头痛的特征.
- 这些算法可以通过减少混来改善围产期药物流行病学研究.
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