• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

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

理解电子急性肾损伤警报:基于定义规则的特征描述

Understanding Electronic AKI Alerts: Characterization by Definitional Rules.

作者信息

Holmes Jennifer, Roberts Gethin, Meran Soma, Williams John D, Phillips Aled O

机构信息

Welsh Renal Clinical Network, Cwm Taf University Health Board, Caerphilly, UK.

Department of Clinical Biochemistry, Hywel Dda University Health Board, Aberystwyth, UK.

出版信息

Kidney Int Rep. 2016 Dec 9;2(3):342-349. doi: 10.1016/j.ekir.2016.12.001. eCollection 2017 May.

DOI:10.1016/j.ekir.2016.12.001
PMID:29142963
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5678680/
Abstract

INTRODUCTION

Automated acute kidney injury (AKI) electronic alerts are based on comparing creatinine with historic results.

METHODS

We report the significance of AKI defined by 3 "rules" differing in the time period from which the baseline creatinine is obtained, and AKI with creatinine within the normal range.

RESULTS

A total of 47,090 incident episodes of AKI occurred between November 2013 and April 2016. Rule 1 (>26 μmol/l increase in creatinine within 48 hours) accounted for 9.6%. Rule 2 (≥50% increase in creatinine within previous 7 days) and rule 3 (≥50% creatinine increase from the median value of results within the last 8-365 days) accounted for 27.3% and 63.1%, respectively. Hospital-acquired AKI was predominantly identified by rules 1 and 2 (71.7%), and community-acquired AKI (86.3%) by rule 3. Stages 2 and 3 were detected by rules 2 and 3. Ninety-day mortality was higher in AKI rule 2 (32.4%) than rule 1 (28.3%,  < 0.001) and rule 3 (26.6%,  < 0.001). Nonrecovery of renal function (90 days) was lower for rule 1 (7.9%) than rule 2 (22.4%,  < 0.001) and rule 3 (16.5%,  < 0.001). We found that 19.2% of AKI occurred with creatinine values within normal range, in which mortality was lower than that in AKI detected by a creatinine value outside the reference range (22.6% vs. 29.6%,  < 0.001).

DISCUSSION

Rule 1 could only be invoked for stage 1 alerts and was associated with acute on chronic kidney disease acquired in hospital. Rule 2 was also associated with hospital-acquired AKI and had the highest mortality and nonrecovery. Rule 3 was the commonest cause of an alert and was associated with community-acquired AKI.

摘要

引言

急性肾损伤(AKI)自动电子警报是基于将肌酐与历史结果进行比较。

方法

我们报告了由3条“规则”定义的AKI的意义,这些规则在获取基线肌酐的时间段上有所不同,以及肌酐在正常范围内的AKI。

结果

2013年11月至2016年4月期间共发生47090例AKI事件。规则1(48小时内肌酐升高>26μmol/l)占9.6%。规则2(前7天内肌酐升高≥50%)和规则3(较过去8 - 365天内结果的中位数肌酐升高≥50%)分别占27.3%和63.1%。医院获得性AKI主要由规则1和规则2识别(71.7%),社区获得性AKI由规则3识别(86.3%)。2期和3期由规则2和规则3检测到。AKI规则2的90天死亡率(32.4%)高于规则1(28.3%,<0.001)和规则3(26.6%,<0.001)。规则1的肾功能未恢复(90天)情况(7.9%)低于规则2(22.4%,<0.001)和规则3(16.5%,<0.001)。我们发现19.2%的AKI发生时肌酐值在正常范围内,其死亡率低于肌酐值超出参考范围检测到的AKI(22.6%对29.6%,<0.001)。

讨论

规则1仅用于1期警报,与医院获得的慢性肾脏病急性发作相关。规则2也与医院获得性AKI相关,且死亡率和未恢复率最高。规则3是警报最常见的原因,与社区获得性AKI相关。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4e1c/5678680/59e3c2b27a02/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4e1c/5678680/661b3c026548/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4e1c/5678680/8fc88b6e136b/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4e1c/5678680/59e3c2b27a02/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4e1c/5678680/661b3c026548/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4e1c/5678680/8fc88b6e136b/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4e1c/5678680/59e3c2b27a02/gr3.jpg

相似文献

1
Understanding Electronic AKI Alerts: Characterization by Definitional Rules.理解电子急性肾损伤警报:基于定义规则的特征描述
Kidney Int Rep. 2016 Dec 9;2(3):342-349. doi: 10.1016/j.ekir.2016.12.001. eCollection 2017 May.
2
The Use of Automated Electronic Alerts in Studying Short-Term Outcomes Associated with Community-Acquired Acute Kidney Injury.自动电子警报在研究社区获得性急性肾损伤相关短期结局中的应用
Nephron. 2017;135(3):181-188. doi: 10.1159/000454779. Epub 2016 Dec 29.
3
The incidence of pediatric acute kidney injury is increased when identified by a change in a creatinine-based electronic alert.当基于肌酐的电子警报发生变化时,儿科急性肾损伤的发生率会增加。
Kidney Int. 2017 Aug;92(2):432-439. doi: 10.1016/j.kint.2017.03.009. Epub 2017 May 6.
4
Acute Kidney Injury in Children Based on Electronic Alerts.基于电子警报的儿童急性肾损伤。
J Pediatr. 2020 May;220:14-20.e4. doi: 10.1016/j.jpeds.2019.11.019. Epub 2020 Jan 16.
5
Impact of introducing electronic acute kidney injury alerts in primary care.在基层医疗中引入电子急性肾损伤警报的影响。
Clin Kidney J. 2018 Oct 3;12(2):253-257. doi: 10.1093/ckj/sfy083. eCollection 2019 Apr.
6
Impact of electronic alerts for acute kidney injury on patient outcomes: interrupted time-series analysis of population cohort data.急性肾损伤电子警报对患者结局的影响:人群队列数据的中断时间序列分析
Clin Kidney J. 2020 Oct 21;14(2):639-646. doi: 10.1093/ckj/sfaa151. eCollection 2021 Feb.
7
Acute Kidney Injury in the Era of the AKI E-Alert.急性肾损伤电子警报时代的急性肾损伤
Clin J Am Soc Nephrol. 2016 Dec 7;11(12):2123-2131. doi: 10.2215/CJN.05170516. Epub 2016 Oct 28.
8
A simple electronic alert for acute kidney injury.急性肾损伤的简易电子警报
Ann Clin Biochem. 2015 Mar;52(Pt 2):206-12. doi: 10.1177/0004563214534832. Epub 2014 Apr 24.
9
Utility of electronic AKI alerts in intensive care: A national multicentre cohort study.重症监护中电子急性肾损伤警报的效用:一项全国多中心队列研究。
J Crit Care. 2018 Apr;44:185-190. doi: 10.1016/j.jcrc.2017.10.024. Epub 2017 Oct 18.
10
Community acquired acute kidney injury: findings from a large population cohort.社区获得性急性肾损伤:一项大型人群队列研究的结果。
QJM. 2017 Nov 1;110(11):741-746. doi: 10.1093/qjmed/hcx151.

引用本文的文献

1
Development and validation of a race-agnostic computable phenotype for kidney health in adult hospitalized patients.成人住院患者肾脏健康的种族无关可计算表型的开发与验证
PLoS One. 2024 Apr 23;19(4):e0299332. doi: 10.1371/journal.pone.0299332. eCollection 2024.
2
Effect of care bundles for acute kidney injury: A systematic review and meta-analysis.急性肾损伤护理包的效果:系统评价和荟萃分析。
PLoS One. 2024 Apr 17;19(4):e0302179. doi: 10.1371/journal.pone.0302179. eCollection 2024.
3
Machine learning-based clinical decision support for infection risk prediction.

本文引用的文献

1
Acute Kidney Injury in the Era of the AKI E-Alert.急性肾损伤电子警报时代的急性肾损伤
Clin J Am Soc Nephrol. 2016 Dec 7;11(12):2123-2131. doi: 10.2215/CJN.05170516. Epub 2016 Oct 28.
2
Improving outcomes in patients with Acute Kidney Injury: the impact of hospital based automated AKI alerts.改善急性肾损伤患者的治疗结果:基于医院的自动急性肾损伤警报的影响。
Postgrad Med J. 2016 Jan;92(1083):9-13. doi: 10.1136/postgradmedj-2015-133496. Epub 2015 Oct 28.
3
Minor Postoperative Increases of Creatinine Are Associated with Higher Mortality and Longer Hospital Length of Stay in Surgical Patients.
基于机器学习的感染风险预测临床决策支持
Front Med (Lausanne). 2023 Dec 18;10:1213411. doi: 10.3389/fmed.2023.1213411. eCollection 2023.
4
Alerting to acute kidney injury - Challenges, benefits, and strategies.急性肾损伤的预警——挑战、益处与策略
Pract Lab Med. 2022 Apr 2;30:e00270. doi: 10.1016/j.plabm.2022.e00270. eCollection 2022 May.
5
For Whom the Bell Tolls: Acute Kidney Injury and Electronic Alerts for the Pediatric Nephrologist.丧钟为谁而鸣:急性肾损伤与儿科肾病学家的电子警报
Front Pediatr. 2021 Apr 12;9:628096. doi: 10.3389/fped.2021.628096. eCollection 2021.
6
Predicting mortality of patients with acute kidney injury in the ICU using XGBoost model.使用 XGBoost 模型预测 ICU 中急性肾损伤患者的死亡率。
PLoS One. 2021 Feb 4;16(2):e0246306. doi: 10.1371/journal.pone.0246306. eCollection 2021.
7
Using electronic AKI alerts to define the epidemiology of acute kidney injury in renal transplants.利用电子 AKI 警报定义肾移植中急性肾损伤的流行病学。
J Nephrol. 2021 Jun;34(3):829-838. doi: 10.1007/s40620-020-00869-z. Epub 2020 Dec 1.
8
Improved predictive models for acute kidney injury with IDEA: Intraoperative Data Embedded Analytics.利用 IDEA(术中数据嵌入式分析)改进急性肾损伤的预测模型。
PLoS One. 2019 Apr 4;14(4):e0214904. doi: 10.1371/journal.pone.0214904. eCollection 2019.
术后肌酐轻微升高与外科手术患者较高的死亡率及较长的住院时间相关。
Anesthesiology. 2015 Dec;123(6):1301-11. doi: 10.1097/ALN.0000000000000891.
4
Standardizing the Early Identification of Acute Kidney Injury: The NHS England National Patient Safety Alert.急性肾损伤早期识别的标准化:英国国民医疗服务体系英格兰地区国家患者安全警报
Nephron. 2015;131(2):113-7. doi: 10.1159/000439146. Epub 2015 Sep 10.
5
Automated alerts for acute kidney injury warrant caution.
BMJ. 2015 Jan 7;350:h19. doi: 10.1136/bmj.h19.
6
Epidemiology and outcomes in community-acquired versus hospital-acquired AKI.社区获得性与医院获得性 AKI 的流行病学和结局。
Clin J Am Soc Nephrol. 2014 Jun 6;9(6):1007-14. doi: 10.2215/CJN.07920713. Epub 2014 Mar 27.
7
Epidemiology and outcome of community-acquired acute kidney injury.社区获得性急性肾损伤的流行病学及转归
Nephrology (Carlton). 2014 May;19(5):282-7. doi: 10.1111/nep.12221.
8
World incidence of AKI: a meta-analysis.全球急性肾损伤发病率:一项荟萃分析。
Clin J Am Soc Nephrol. 2013 Sep;8(9):1482-93. doi: 10.2215/CJN.00710113. Epub 2013 Jun 6.
9
Acute kidney injury: global health alert.急性肾损伤:全球健康警报。
Kidney Int. 2013 Mar;83(3):372-6. doi: 10.1038/ki.2012.427. Epub 2013 Jan 9.
10
Hospital-acquired acute kidney injury: an analysis of nadir-to-peak serum creatinine increments stratified by baseline estimated GFR.医院获得性急性肾损伤:按基线估算肾小球滤过率分层的血清肌酐最低点至最高点增量分析。
Clin J Am Soc Nephrol. 2011 Jul;6(7):1556-65. doi: 10.2215/CJN.08470910. Epub 2011 Jun 23.