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计算机化决策支持工具在两个重症监护病房对急性肾损伤进展和指南依从性的影响:一项前瞻性观察研究。

Impact of a computerized decision support tool deployed in two intensive care units on acute kidney injury progression and guideline compliance: a prospective observational study.

机构信息

Bristol Royal Infirmary, Anesthesia, University Hospital Bristol, Bristol, UK.

Philips Research North America, 222 Jacobs Street, Cambridge, MA, 02141, USA.

出版信息

Crit Care. 2020 Nov 23;24(1):656. doi: 10.1186/s13054-020-03343-1.

Abstract

BACKGROUND

Acute kidney injury (AKI) affects a large proportion of the critically ill and is associated with worse patient outcomes. Early identification of AKI can lead to earlier initiation of supportive therapy and better management. In this study, we evaluate the impact of computerized AKI decision support tool integrated with the critical care clinical information system (CCIS) on patient outcomes. Specifically, we hypothesize that integration of AKI guidelines into CCIS will decrease the proportion of patients with Stage 1 AKI deteriorating into higher stages of AKI.

METHODS

The study was conducted in two intensive care units (ICUs) at University Hospitals Bristol, UK, in a before (control) and after (intervention) format. The intervention consisted of the AKIN guidelines and AKI care bundle which included guidance for medication usage, AKI advisory and dashboard with AKI score. Clinical data and patient outcomes were collected from all patients admitted to the units. AKI stage was calculated using the Acute Kidney Injury Network (AKIN) guidelines. Maximum AKI stage per admission, change in AKI stage and other metrics were calculated for the cohort. Adherence to eGFR-based enoxaparin dosing guidelines was evaluated as a proxy for clinician awareness of AKI.

RESULTS

Each phase of the study lasted a year, and a total of 5044 admissions were included for analysis with equal numbers of patients for the control and intervention stages. The proportion of patients worsening from Stage 1 AKI decreased from 42% (control) to 33.5% (intervention), p = 0.002. The proportion of incorrect enoxaparin doses decreased from 1.72% (control) to 0.6% (intervention), p < 0.001. The prevalence of any AKI decreased from 43.1% (control) to 37.5% (intervention), p < 0.05.

CONCLUSIONS

This observational study demonstrated a significant reduction in AKI progression from Stage 1 and a reduction in overall development of AKI. In addition, a reduction in incorrect enoxaparin dosing was also observed, indicating increased clinical awareness. This study demonstrates that AKI guidelines coupled with a newly designed AKI care bundle integrated into CCIS can impact patient outcomes positively.

摘要

背景

急性肾损伤(AKI)影响了很大一部分危重病患者,并且与患者预后较差有关。早期识别 AKI 可以更早地开始支持治疗和更好地管理。在这项研究中,我们评估了将 AKI 决策支持工具与重症监护临床信息系统(CCIS)集成对患者结局的影响。具体来说,我们假设将 AKI 指南整合到 CCIS 中,将降低 AKI 第 1 期恶化至更高 AKI 期的患者比例。

方法

该研究在英国布里斯托尔大学医院的两个重症监护病房(ICU)进行,采用前后(对照)格式。干预措施包括 AKIN 指南和 AKI 护理包,其中包括药物使用指南、AKI 咨询和 AKI 评分仪表盘。从所有入住该单位的患者中收集临床数据和患者结局。使用急性肾损伤网络(AKIN)指南计算 AKI 分期。计算了每个入院的最大 AKI 分期、AKI 分期变化和其他指标。评估依诺肝素基于 eGFR 的剂量指南的依从性作为临床医生对 AKI 认识的指标。

结果

研究的每个阶段持续一年,共纳入 5044 例入院患者进行分析,对照阶段和干预阶段的患者人数相等。从 AKI 第 1 期恶化的患者比例从 42%(对照)下降到 33.5%(干预),p=0.002。错误的依诺肝素剂量比例从 1.72%(对照)下降到 0.6%(干预),p<0.001。任何 AKI 的患病率从 43.1%(对照)下降到 37.5%(干预),p<0.05。

结论

这项观察性研究表明,AKI 进展从第 1 期显著减少,AKI 的总体发生率也有所降低。此外,还观察到错误的依诺肝素剂量减少,表明临床意识增强。这项研究表明,将 AKI 指南与新设计的 AKI 护理包集成到 CCIS 中,可以对患者结局产生积极影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/763b/7684927/13e7773ce5c1/13054_2020_3343_Fig1_HTML.jpg

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