Suppr超能文献

术后复苏单元(PACU)中纳入可行的术后死亡率模型对术后临床恶化的影响:一项纳入 5353 例患者的实用临床试验。

The impact of the incorporation of a feasible postoperative mortality model at the Post-Anaesthestic Care Unit (PACU) on postoperative clinical deterioration: A pragmatic trial with 5,353 patients.

机构信息

Postgraduate Program in Medical Sciences, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil.

Anaesthesia and Perioperative Medicine Service, Hospital de Clínicas de Porto Alegre (HCPA), Porto Alegre, Brazil.

出版信息

PLoS One. 2021 Nov 15;16(11):e0257941. doi: 10.1371/journal.pone.0257941. eCollection 2021.

Abstract

BACKGROUND

Practical use of risk predictive tools and the assessment of their impact on outcome reduction is still a challenge. This pragmatic study of quality improvement (QI) describes the preoperative adoption of a customised postoperative death probability model (SAMPE model) and the evaluation of the impact of a Postoperative Anaesthetic Care Unit (PACU) pathway on the clinical deterioration of high-risk surgical patients.

METHODS

A prospective cohort of 2,533 surgical patients compared with 2,820 historical controls after the adoption of a quality improvement (QI) intervention. We carried out quick postoperative high-risk pathways at PACU when the probability of postoperative death exceeded 5%. As outcome measures, we used the number of rapid response team (RRT) calls within 7 and 30 postoperative days, in-hospital mortality, and non-planned Intensive Care Unit (ICU) admission.

RESULTS

Not only did the QI succeed in the implementation of a customised risk stratification model, but it also diminished the postoperative deterioration evaluated by RRT calls on very high-risk patients within 30 postoperative days (from 23% before to 14% after the intervention, p = 0.05). We achieved no survival benefits or reduction of non-planned ICU. The small group of high-risk patients (13% of the total) accounted for the highest proportion of RRT calls and postoperative death.

CONCLUSION

Employing a risk predictive tool to guide immediate postoperative care may influence postoperative deterioration. It encouraged the design of pragmatic trials focused on feasible, low-technology, and long-term interventions that can be adapted to diverse health systems, especially those that demand more accurate decision making and ask for full engagement in the control of postoperative morbi-mortality.

摘要

背景

风险预测工具的实际应用以及对降低结果的评估仍然是一个挑战。本质量改进(QI)的实用性研究描述了术后采用定制的术后死亡概率模型(SAMPE 模型)以及术后麻醉护理单元(PACU)路径对高风险手术患者临床恶化的影响。

方法

前瞻性队列研究了 2533 例手术患者,并与采用质量改进(QI)干预措施后的 2820 例历史对照患者进行了比较。当术后死亡概率超过 5%时,我们在 PACU 进行快速术后高危通道。作为结局指标,我们使用术后 7 天和 30 天内快速反应团队(RRT)的呼叫次数、院内死亡率和非计划 ICU 入院率。

结果

QI 不仅成功地实施了定制的风险分层模型,而且还减少了术后 30 天内 RRT 对极高危患者的恶化评估(从干预前的 23%降至干预后的 14%,p=0.05)。我们没有获得生存获益或减少非计划 ICU。高危患者(占总人数的 13%)小群体占 RRT 呼叫和术后死亡的比例最高。

结论

使用风险预测工具来指导术后立即护理可能会影响术后恶化。它鼓励设计注重可行性、低技术和长期干预的实用性试验,可以适应不同的医疗体系,特别是那些需要更准确的决策和全面参与控制术后发病率和死亡率的医疗体系。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a8bb/8592468/896d25ed2112/pone.0257941.g001.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