在瑞士使用MAMA队列的产前抗抑郁药的使用和轨迹
Marc Dupuis1, Tamara Scharf1, Eva Gerbier2
1Institute of Primary Health Care (BIHAM), University of Bern, Switzerland; Graduate School for Health Sciences (GHS), University of Bern, Switzerland.
Journal of affective disorders
|December 8, 2025
概括
在瑞士,怀孕期间使用抗抑郁药的比例为1.6%,许多妇女在怀孕前或怀孕期间停止服用药物,这与指导方针相反. 需要进一步的研究来了解停止这些必需药物的原因.
科学领域:
- 生殖健康 生殖健康
- 精神病学是一个精神病学.
- 药理流行病学 药理流行病学
背景情况:
- 在怀孕期间,情绪障碍很常见,指南建议继续使用抗抑郁药.
- 然而,瑞士的抗抑郁药治疗模式和产前暴露不足.
- 本研究通过分析处方数据来解决这一差距.
研究的目的:
- 估计产前抗抑郁药的使用率,并确定治疗模式.
- 为了确定抗抑郁药的使用轨迹从怀孕前9个月到分娩.
- 描述这些轨迹及其与其他药物的关联.
主要方法:
- 利用了瑞士2010-2019年期间84,317例怀孕的索赔数据.
- 估计抗抑郁药物开放和治疗模式的流行率.
- 采用基于群体的轨迹建模 (GBTM) 来识别药物使用轨迹.
主要成果:
- 1.6%的怀孕涉及使用抗抑郁药.
- 鉴定了六种不同的轨迹,插曲性处方是最常见的 (44.4%).
- 很大一部分女性在怀孕前 (16.4%) 或怀孕期间 (11.4%) 停止服用抗抑郁药.
结论:
- 产前使用抗抑郁药的患病率与欧洲的患病率一致.
- 相当多的妇女在怀孕期间停止服用抗抑郁药,偏离了临床建议.
- 调查患者和临床医生水平的停药因素对于未来的干预措施至关重要.
相关概念视频
Antidepressant Drugs: Overview
1.3K
Antidepressant drugs are a class of medications primarily used for treating various mood disorders, including major depression, anxiety disorders, and other related conditions. These medicines work by modulating the neurotransmitter balance within the brain, alleviating depressive symptoms. Antidepressants can be broadly categorized into several groups according to their mechanism of action and chemical structure: Selective Serotonin Reuptake Inhibitors (SSRIs), Serotonin-Norepinephrine...
1.3K
Antidepressant Drugs: MAOIs and Other Agents
774
Atypical antidepressants, including bupropion (Wellbutrin), mirtazapine (Remeron), nefazodone (Serzone), trazodone (Desyrel), and vilazodone (Viibryd), offer unique mechanisms of action. Bupropion weakly inhibits dopamine and norepinephrine reuptake, aiding depression treatment and smoking cessation, with a low risk of sexual dysfunction. Mirtazapine enhances serotonin and norepinephrine neurotransmission, leading to sedation, increased appetite, and weight gain. As a result, it helps treat...
774
Regression Toward the Mean
6.8K
Regression toward the mean (“RTM”) is a phenomenon in which extremely high or low values—for example, and individual’s blood pressure at a particular moment—appear closer to a group’s average upon remeasuring. Although this statistical peculiarity is the result of random error and chance, it has been problematic across various medical, scientific, financial and psychological applications. In particular, RTM, if not taken into account, can interfere when...
6.8K


