Suppr超能文献

托斯卡纳普通人群在新冠疫情各波期间的抗抑郁药物使用情况:一项中断时间序列分析

Antidepressants Drug Use during COVID-19 Waves in the Tuscan General Population: An Interrupted Time-Series Analysis.

作者信息

Antonazzo Ippazio Cosimo, Fornari Carla, Maumus-Robert Sandy, Cei Eleonora, Paoletti Olga, Ferrara Pietro, Conti Sara, Cortesi Paolo Angelo, Mantovani Lorenzo Giovanni, Gini Rosa, Mazzaglia Giampiero

机构信息

Research Centre on Public Health (CESP), University of Milan-Bicocca, 20900 Monza, Italy.

Team Pharmacoepidemiology, Bordeaux Population Health Research Center, Inserm U1219, University of Bordeaux, F-33000 Bordeaux, France.

出版信息

J Pers Med. 2022 Jan 28;12(2):178. doi: 10.3390/jpm12020178.

Abstract

In Italy, during the COVID-19 waves two lockdowns were implemented to prevent virus diffusion in the general population. Data on antidepressant (AD) use in these periods are still scarce. This study aimed at exploring the impact of COVID-19 lockdowns on prevalence and incidence of antidepressant drug use in the general population. A population-based study using the healthcare administrative database of Tuscany was performed. We selected a dynamic cohort of subjects with at least one ADs dispensing from 1 January 2018 to 27 December 2020. The weekly prevalence and incidence of drug use were estimated across different segments: pre-lockdown (1 January 2018-8 March 2020), first lockdown (9 March 2020-15 June 2020), post-first lockdown (16 June 2020-15 November 2020) and second lockdown (16 November 2020-27 December 2020). An interrupted time-series analysis was used to assess the effect of lockdowns on the observed outcomes. Compared to the pre-lockdown we observed an abrupt reduction of ADs incidence (Incidence-Ratio: 0.82; 95% Confidence-Intervals: 0.74-0.91) and a slight weekly decrease of prevalence (Prevalence-Ratio: 0.997; 0.996-0.999). During the post-first lockdown AD use increased, with higher incidence- and similar prevalence values compared with those expected in the absence of the outbreak. This pandemic has impacted AD drug use in the general population with potential rebound effects during the period between waves. This calls for future studies aimed at exploring the mid-long term effects of this phenomenon.

摘要

在意大利,新冠疫情期间实施了两轮封锁措施,以防止病毒在普通人群中传播。关于这期间抗抑郁药使用情况的数据仍然很少。本研究旨在探讨新冠疫情封锁措施对普通人群中抗抑郁药使用的患病率和发病率的影响。我们利用托斯卡纳地区的医疗管理数据库进行了一项基于人群的研究。我们选取了一个动态队列,这些受试者在2018年1月1日至2020年12月27日期间至少有一次抗抑郁药配药记录。我们估计了不同时间段内药物使用的每周患病率和发病率,包括封锁前(2018年1月1日至2020年3月8日)、首次封锁期间(2020年3月9日至2020年6月15日)、首次封锁后(2020年6月16日至2020年11月15日)和第二次封锁期间(2020年11月16日至2020年12月27日)。我们采用中断时间序列分析来评估封锁措施对观察结果的影响。与封锁前相比,我们观察到抗抑郁药发病率急剧下降(发病率比:0.82;95%置信区间:0.74 - 0.91),每周患病率略有下降(患病率比:0.997;0.996 - 0.999)。在首次封锁后,抗抑郁药的使用有所增加,发病率高于预期,患病率与无疫情时预期的患病率相似。这场疫情对普通人群中抗抑郁药的使用产生了影响,在疫情波次之间的时期可能会有反弹效应。这就需要未来开展研究,以探索这一现象的中长期影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/64f6/8879880/935cefc58428/jpm-12-00178-g0A1.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