临床关联与抑郁症治疗耐药性:电子健康记录研究
Brandon J Coombes1, Jorge A Sanchez-Ruiz2, Brian Fennessy3
1Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA.
Psychiatry research
|September 25, 2024
概括
大型抑郁症 (MDD) 抗治疗性与各种临床因素有关. 现象范围的关联研究发现了新的关联,表明诸如刺激性肠综合征等疾病的遗传风险可能会影响抗抑郁药的有效性.
科学领域:
- 遗传学和基因组学 在
- 精神病学是一个精神病学.
- 计算生物学 计算生物学
背景情况:
- 治疗耐药性是管理严重抑郁症 (MDD) 的一个重大挑战.
- 了解治疗耐药性的临床风险因素对于改善患者的治疗结果至关重要.
- 目前对这些风险因素的了解仍然不完整.
研究的目的:
- 确定与重大抑郁症 (MDD) 治疗耐药性相关的临床风险因素.
- 通过全现象关联研究 (PheWASs) 探索这些关联的遗传基础.
- 通过使用电子健康记录 (EHR) 数据,建立一种更细致的治疗耐药性测量方法.
主要方法:
- 在两个与EHR连接的生物库中采用了发现复制设计.
- 基于抗抑郁药 (AD) 处方数据,对MDD治疗耐药性结果进行了PheWAS.
- 将终身诊断映射到fecodes,并分析了与AD处方指标 (独特的AD,CE开关) 的关联.
主要成果:
- 在发现队列中确定了180个与MDD治疗耐药性相关的phacodes,其中71个是复制的.
- 发现了独特的AD处方数量与诸如刺激性肠综合症,胃食道逆流症,症状性更年期和脊髓病等疾病之间的关联.
- 证明了多种相关疾病的多基因风险也与独特的AD处方数量有关.
结论:
- 独特的抗抑郁药处方的数量作为MDD治疗耐药性的敏感指标.
- 确定了与MDD治疗耐药性相关的新型临床和遗传因素.
- 这些发现支持了EHR数据的实用性,以促进MDD治疗耐药性的研究和临床应用.
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