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多病症和多用药住院老年患者中药物不良反应的预防:SENATOR*随机对照临床试验。

Prevention of adverse drug reactions in hospitalized older patients with multi-morbidity and polypharmacy: the SENATOR* randomized controlled clinical trial.

机构信息

University College Cork School of Medicine-Medicine Cork Ireland, Cork University Hospital Group, Cork, Ireland.

Landspitali University Hospital Reykjavik, Landspitali, Iceland.

出版信息

Age Ageing. 2020 Jul 1;49(4):605-614. doi: 10.1093/ageing/afaa072.

Abstract

BACKGROUND

Multi-morbidity and polypharmacy increase the risk of non-trivial adverse drug reactions (ADRs) in older people during hospitalization. Despite this, there are no established interventions for hospital-acquired ADR prevention.

METHODS

We undertook a pragmatic, multi-national, parallel arm prospective randomized open-label, blinded endpoint (PROBE) controlled trial enrolling patients at six European medical centres. We randomized 1,537 older medical and surgical patients with multi-morbidity and polypharmacy on admission in a 1:1 ratio to SENATOR software-guided medication optimization plus standard care (intervention, n = 772, mean number of daily medications = 9.34) or standard care alone (control, n = 765, mean number of daily medications = 9.23) using block randomization stratified by site and admission type. Attending clinicians in the intervention arm received SENATOR-generated advice at a single time point with recommendations they could choose to adopt or not. The primary endpoint was occurrence of probable or certain ADRs within 14 days of randomization. Secondary endpoints were primary endpoint derivatives; tertiary endpoints included all-cause mortality, re-hospitalization, composite healthcare utilization and health-related quality of life.

RESULTS

For the primary endpoint, there was no difference between the intervention and control groups (24.5 vs. 24.8%; OR 0.98; 95% CI 0.77-1.24; P = 0.88). Similarly, with secondary and tertiary endpoints, there were no significant differences. Among attending clinicians in the intervention group, implementation of SENATOR software-generated medication advice points was poor (~15%).

CONCLUSIONS

In this trial, uptake of software-generated medication advice to minimize ADRs was poor and did not reduce ADR incidence during index hospitalization.

摘要

背景

多重疾病和多种药物治疗会增加老年人住院期间发生非严重药物不良反应(ADR)的风险。尽管如此,目前还没有针对医院获得性 ADR 预防的既定干预措施。

方法

我们进行了一项实用的、多国家、平行臂前瞻性随机开放标签、盲终点(PROBE)对照试验,纳入了来自六个欧洲医疗中心的患者。我们以 1:1 的比例随机分配 1537 名患有多重疾病和多种药物治疗的老年内科和外科患者,在入院时接受 SENATOR 软件指导的药物优化加标准护理(干预组,n=772,平均每日用药数为 9.34)或单独接受标准护理(对照组,n=765,平均每日用药数为 9.23),使用按地点和入院类型分层的区组随机化。干预组的主治临床医生在单一时间点收到 SENATOR 生成的建议,他们可以选择接受或不接受这些建议。主要终点是随机分组后 14 天内发生的可能或确定的 ADR。次要终点是主要终点的衍生指标;次要终点包括全因死亡率、再住院、综合医疗保健利用和健康相关生活质量。

结果

在主要终点方面,干预组和对照组之间没有差异(24.5% vs. 24.8%;OR 0.98;95%CI 0.77-1.24;P=0.88)。同样,在次要和次要终点方面,也没有显著差异。在干预组的主治临床医生中,SENATOR 软件生成的药物建议实施情况较差(约 15%)。

结论

在这项试验中,软件生成的药物建议的采用率很低,无法减少索引住院期间 ADR 的发生率。

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