使用电子健康记录,为患有严重抑郁症的退伍军人制定个性化治疗规则
Nur Hani Zainal1, Robert M Bossarte2, Sarah M Gildea1
1Department of Health Care Policy, Harvard Medical School, Boston, MA, USA.
Molecular psychiatry
|March 15, 2024
概括
大型抑郁症 (MDD) 的个性化治疗规则 (ITR) 显示,心理治疗对56%的患者是最佳的,减少了负面事件. 这种方法使用电子健康记录来个性化抗抑郁药物和心理治疗决策.
科学领域:
- 精神病学和心理健康 精神病学和心理健康
- 医疗保健服务研究 医疗服务研究
- 计算医学是一种计算医学.
背景情况:
- 优化主要抑郁障碍 (MDD) 的治疗是具有挑战性的,因为样本规模小,方法不理想.
- 大规模的行政数据库和实用试验为制定个性化治疗规则 (ITR) 提供了希望.
研究的目的:
- 开发和评估一个概念验证的个性化治疗规则 (ITR),以优化MDD治疗.
- 通过广泛的患者数据,确定最佳的治疗策略 (抗抑郁药物,心理治疗或组合).
主要方法:
- 使用了退伍军人卫生管理局诊所43,470名门诊患者的电子健康记录 (EHR).
- 创建了一个广泛的预测器集 (5,865个变量) 并定义了12个月内严重负面事件的复合结果.
- 应用最佳实践方法来调整非随机分配,并在培训和测试样本中估计/评估ITR.
主要成果:
- 根据基线预测因素 (AU-ROC=0.68) 发现结果概率的统计学显著变化.
- 在ITR中,只有心理治疗对56.0%的患者来说是最优的,减少了约20%的结果风险.
- 实施ITR显示成本变化微不足道,抗抑郁药处方减少,心理治疗利用更多.
结论:
- 开发的ITR显示了优化MDD治疗选择的潜力.
- 只有心理治疗才成为大量MDD门诊患者的首选治疗方法.
- 建议进行实用试验,以确认ITR的准确性和临床实用性.
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