Suppr超能文献

自杀死亡前一年的用药模式:一项基于澳大利亚人群的病例系列研究。

Patterns of medicine use in the year prior to death by suicide: an Australian population-based case series study.

作者信息

Schaffer Andrea L, Buckley Nicholas A, Schumann Jennifer, Lim Jessy S, Cairns Rose, Raubenheimer Jacques, Pearson Sallie-Anne, Chitty Kate

机构信息

Medicines Intelligence Research Program, School of Population Health, UNSW Sydney, Sydney, Australia.

Bennett Institute for Applied Data Science, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.

出版信息

EClinicalMedicine. 2024 Oct 3;77:102858. doi: 10.1016/j.eclinm.2024.102858. eCollection 2024 Nov.

Abstract

BACKGROUND

Prescribed medicines are commonly used to treat mental health conditions but are also often implicated in suicide death by poisoning. This was a descriptive study quantifying changes in dispensing and initiation of antidepressants, benzodiazepines, and antipsychotics in the year prior to death by suicide.

METHODS

In this Australian population-based case series, we used national coronial data linked with dispensing claims for all people ≥10 years who died by suicide (2013-2019). Our primary outcome was change in aggregate weekly medicine dispensing the year before death, quantified using piecewise linear regression stratified by cause of death (medicine poisoning vs other causes). Our secondary outcome was change in medicine initiation rates. This study was performed between June 2021 and July 2023.

FINDINGS

Our study included 14,207 people (24% female, median age 44  years). In the year prior to death, we observed higher rates of nervous system medicine use in people who died by medicine poisoning compared with those that did not: antidepressants (62.4% vs 42.9%), benzodiazepines (51.4% vs 29.0%), antipsychotics (25.6% vs 17.1%), opioids (43.8% vs 23.4%). For benzodiazepines, among people who died by medicine poisoning the slope (rate of increase) changed from 0.18 (95% CI -0.01, 0.37) to 4.12 (95% CI 0.98, 7.26) dispensings per 1000 people per week at 8 weeks prior to death. Among people who died of other causes, the slope changed from 0.18 (95% CI 0.14, 0.22) to 2.41 (95% CI 1.90, 2.91) also at 8 weeks prior to death. For antidepressants, among people who died of medicine poisoning we observed no change in the slope. Among people who died of other causes, the slope increased from 0.18 (95% CI 0.09, 0.28) to 1.68 (95% CI 1.20, 2.15) at 14 weeks prior to death.

INTERPRETATION

Dispensing of antidepressants and benzodiazepines increased more rapidly closer to date of death, regardless of medicine involvement in death. This suggests these changes may reflect worsening symptoms or increased help seeking and that the method of death by suicide may be due to greater means access. However, findings need to be interpreted with caution as our analyses were performed on aggregate data and may not reflect person-level changes.

FUNDING

This study is funded by a grant from the Australian National Health and Medical Research Council (NHMRC) and the Translational Australian Clinical Toxicology Research (TACT) Group.

摘要

背景

处方药常用于治疗精神健康状况,但也常常与中毒自杀死亡有关。这是一项描述性研究,量化了自杀死亡前一年抗抑郁药、苯二氮䓬类药物和抗精神病药物的配药和起始使用情况的变化。

方法

在这个基于澳大利亚人群的病例系列研究中,我们使用了与所有10岁及以上自杀死亡者(2013 - 2019年)的配药记录相链接的国家死因裁判数据。我们的主要结局是死亡前一年每周药品配药总量的变化,使用按死亡原因(药物中毒与其他原因)分层的分段线性回归进行量化。我们的次要结局是药物起始使用率的变化。本研究于2021年6月至2023年7月进行。

结果

我们的研究纳入了14207人(24%为女性,中位年龄44岁)。在死亡前一年,我们观察到药物中毒死亡者中使用神经系统药物的比例高于未中毒者:抗抑郁药(62.4%对42.9%)、苯二氮䓬类药物(51.4%对29.0%)、抗精神病药物(25.6%对17.1%)、阿片类药物(43.8%对23.4%)。对于苯二氮䓬类药物,在药物中毒死亡者中,斜率(增加率)在死亡前8周从每1000人每周0.18(95%置信区间 -0.01,0.37)变为4.12(95%置信区间0.98,7.26)次配药。在死于其他原因的人中,斜率在死亡前8周也从0.18(95%置信区间0.14,0.22)变为2.41(95%置信区间1.90,2.91)。对于抗抑郁药,在药物中毒死亡者中我们观察到斜率没有变化。在死于其他原因的人中,斜率在死亡前14周从0.18(95%置信区间0.09,0.28)增加到1.68(95%置信区间1.20,2.15)。

解读

无论药物是否与死亡有关,抗抑郁药和苯二氮䓬类药物在接近死亡日期时配药增加得更快。这表明这些变化可能反映了症状恶化或寻求帮助的增加,并且自杀死亡方式可能是由于更容易获得手段。然而,由于我们的分析是基于汇总数据进行的,可能无法反映个体水平的变化,因此研究结果需要谨慎解读。

资助

本研究由澳大利亚国家卫生与医学研究委员会(NHMRC)和澳大利亚临床毒理学转化研究(TACT)小组的一项拨款资助。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9a91/11474424/92604820f97c/gr1.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验