精神分裂症患者的药物接触与死亡率。

IF 10.5 1区 医学 Q1 MEDICINE, GENERAL & INTERNAL
Sébastien Brodeur, Yohann M Chiu, Josiane Courteau, Marc Dorais, Dominic Oliver, Emmanuel Stip, Marie-Josée Fleury, Marc-André Roy, Alain Vanasse, Alain Lesage, Jacinthe Leclerc
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引用次数: 0

摘要

重要性:抗精神病药物、抗抑郁药物和苯二氮卓类药物的使用可能会影响精神分裂症患者的死亡风险。然而,许多观察性研究并没有考虑到永恒时间偏差(ITB),即暴露组患者有一段时间必然存活,但却被错误地归类为暴露组(从开始随访到开始用药之间的这段时间)。忽略 ITB 可能会导致误解这些药物与死亡率之间的关联:研究抗精神病药物、抗抑郁药物和苯二氮卓类药物的累积剂量是否与精神分裂症患者的死亡风险相关,并讨论忽略ITB可能产生的影响:这项队列研究使用了加拿大魁北克省的行政数据,包括2002年1月1日至2012年12月31日期间确诊为精神分裂症的17至64岁患者。数据分析时间为2022年6月22日至2024年9月30日:主要结果为全因死亡率,随访时间为2013年1月1日至2017年12月31日或直至死亡。死亡率风险按抗精神病药、抗抑郁药和苯二氮卓的低度、中度和高度暴露进行评估。采用时间固定暴露(不控制 ITB)和时间依赖暴露(控制 ITB)的 Cox 比例危险回归模型:该队列包括 32 240 名患者(平均 [SD] 年龄为 46.1 [11.6] 岁;男性 19 776 [61.3%]),其中 1941 人(6.0%)在随访期间死亡。采用时间固定法时,未发现抗精神病药物与死亡率之间存在剂量反应关系。然而,在校正 ITB 后,大剂量抗精神病药物的使用与死亡率增加有关(调整后危险比 [AHR],1.28;95% CI,1.07-1.55;P = .008)。使用时间固定法时,抗抑郁药的死亡率风险有所降低,但在校正 ITB 后,仅在高剂量时才会降低(AHR,0.86;95% CI,0.74-1.00;P = .047)。无论采用哪种方法,苯二氮卓类药物都会增加死亡风险:本研究的结果并没有质疑抗精神病药物对精神分裂症的已知疗效,但却对长期死亡率获益的程度提出了质疑。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Medication Exposure and Mortality in Patients With Schizophrenia.

Importance: The use of antipsychotics, antidepressants, and benzodiazepines may influence the risk of mortality in people with schizophrenia. However, many observational studies have not accounted for immortal time bias (ITB), which occurs when there is a period during which patients in the exposed group are necessarily alive and misclassified as exposed (the period between start of follow-up and initiation of drug). Ignoring ITB may lead to misinterpretation of the association between these drugs and mortality.

Objectives: To examine whether the cumulative dose of antipsychotics, antidepressants, and benzodiazepines is associated with mortality risk in patients with schizophrenia and discuss the potential impacts of ignoring ITB.

Design, setting, and participants: This cohort study used administrative data from Québec, Canada, including patients aged 17 to 64 years diagnosed with schizophrenia between January 1, 2002, and December 31, 2012. Data analysis was performed from June 22, 2022, to September 30, 2024.

Main outcomes and measures: The primary outcome was all-cause mortality, with follow-up from January 1, 2013, to December 31, 2017, or until death. Mortality risk was assessed for low, moderate, and high exposure to antipsychotics, antidepressants, and benzodiazepines. Cox proportional hazards regression models with time-fixed exposure (not controlling for ITB) and time-dependent exposure (controlling for ITB) were performed.

Results: The cohort included 32 240 patients (mean [SD] age, 46.1 [11.6] years; 19 776 [61.3%] men), of whom 1941 (6.0%) died during follow-up. No dose-response association was found for antipsychotics with mortality using the time-fixed method. However, high-dose antipsychotic use was associated with increased mortality after correcting for ITB (adjusted hazard ratio [AHR], 1.28; 95% CI, 1.07-1.55; P = .008). Antidepressants showed a reduced mortality risk using the time-fixed method, but only at high doses when correcting for ITB (AHR, 0.86; 95% CI, 0.74-1.00; P = .047). Benzodiazepines were associated with increased mortality risk regardless of the method.

Conclusions and relevance: The findings of this study do not dispute the known efficacy of antipsychotics in schizophrenia, but they call into question the magnitude of long-term mortality benefits.

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来源期刊
JAMA Network Open
JAMA Network Open Medicine-General Medicine
CiteScore
16.00
自引率
2.90%
发文量
2126
审稿时长
16 weeks
期刊介绍: JAMA Network Open, a member of the esteemed JAMA Network, stands as an international, peer-reviewed, open-access general medical journal.The publication is dedicated to disseminating research across various health disciplines and countries, encompassing clinical care, innovation in health care, health policy, and global health. JAMA Network Open caters to clinicians, investigators, and policymakers, providing a platform for valuable insights and advancements in the medical field. As part of the JAMA Network, a consortium of peer-reviewed general medical and specialty publications, JAMA Network Open contributes to the collective knowledge and understanding within the medical community.
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