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高危病房中急性肾损伤电子警报的价值:一项试点随机对照试验。

Value of electronic alerts for acute kidney injury in high-risk wards: a pilot randomized controlled trial.

作者信息

Wu Yanhua, Chen Yuanhan, Li Shaowen, Dong Wei, Liang Huaban, Deng Miaoyi, Chen Yingnan, Chen Shixin, Liang Xinling

机构信息

Division of Nephrology, Guangdong General Hospital, Guangdong Academy of Medical Sciences, 106, Zhong Shan Road 2, Guangzhou City, 510080, Guangdong Province, China.

Division of Information Management, Guangdong General Hospital, Guangdong Academy of Medical Sciences, 106, Zhong Shan Road 2, Guangzhou City, 510080, Guangdong Province, China.

出版信息

Int Urol Nephrol. 2018 Aug;50(8):1483-1488. doi: 10.1007/s11255-018-1836-7. Epub 2018 Mar 19.

DOI:10.1007/s11255-018-1836-7
PMID:29556903
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6096658/
Abstract

PURPOSE

To investigate the application value of "electronic alerts" ("e-alerts") for acute kidney injury (AKI) among high-risk wards of hospitals.

METHODS

A prospective, randomized, controlled study was conducted. We developed an e-alert system for AKI and ran the system in intensive care units and divisions focusing on cardiovascular disease. The e-alert system diagnosed AKI automatically based on serum creatinine levels. Patients were assigned randomly to an e-alert group (467 patients) or non-e-alert group (408 patients). Only the e-alert group could receive pop-up messages.

RESULTS

The sensitivity, specificity, Youden Index and accuracy of the AKI e-alert system were 99.8, 97.7, 97.5 and 98.1%, respectively. The prevalence of the diagnosis for AKI and expanded-AKI (AKI or multiple-organ failure) in the e-alert group was higher than that in the non-e-alert group (AKI 7.9 and 2.7%, P = 0.001; expanded-AKI 16.3 and 6.1%, P < 0.001). The prevalence of nephrology consultation in the e-alert group was higher than that in the non-e-alert group (9.0 and 3.7%, P = 0.001). There was no significant difference in the prevalence dialysis, rehabilitation of renal function or death in the two groups.

CONCLUSION

The e-alert system described here was a reliable tool to make an accurate diagnosis of AKI.

摘要

目的

探讨“电子警报”(“e-警报”)在医院高危病房急性肾损伤(AKI)中的应用价值。

方法

进行一项前瞻性、随机、对照研究。我们开发了一种用于AKI的电子警报系统,并在重症监护病房和心血管疾病专科运行该系统。该电子警报系统根据血清肌酐水平自动诊断AKI。患者被随机分为电子警报组(467例患者)和非电子警报组(408例患者)。只有电子警报组能收到弹出消息。

结果

AKI电子警报系统的敏感性、特异性、约登指数和准确性分别为99.8%、97.7%、97.5%和98.1%。电子警报组中AKI和扩展型AKI(AKI或多器官功能衰竭)的诊断患病率高于非电子警报组(AKI分别为7.9%和2.7%,P = 0.001;扩展型AKI分别为16.3%和6.1%,P < 0.001)。电子警报组中肾病会诊的患病率高于非电子警报组(分别为9.0%和3.7%,P = 0.001)。两组在透析患病率、肾功能恢复或死亡方面无显著差异。

结论

本文所述的电子警报系统是准确诊断AKI的可靠工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d4af/6096658/67ea2581593f/11255_2018_1836_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d4af/6096658/74451d6837ae/11255_2018_1836_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d4af/6096658/67ea2581593f/11255_2018_1836_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d4af/6096658/74451d6837ae/11255_2018_1836_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d4af/6096658/67ea2581593f/11255_2018_1836_Fig2_HTML.jpg

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本文引用的文献

1
Applications for detection of acute kidney injury using electronic medical records and clinical information systems: workgroup statements from the 15(th) ADQI Consensus Conference.利用电子病历和临床信息系统检测急性肾损伤的应用:第15届急性透析质量倡议(ADQI)共识会议工作组声明
Can J Kidney Health Dis. 2016 Feb 26;3:9. doi: 10.1186/s40697-016-0100-2. eCollection 2016.
2
Acute kidney injury in China: a cross-sectional survey.中国急性肾损伤:一项横断面调查。
Lancet. 2015 Oct 10;386(10002):1465-71. doi: 10.1016/S0140-6736(15)00344-X.
3
International Society of Nephrology's 0by25 initiative for acute kidney injury (zero preventable deaths by 2025): a human rights case for nephrology.
急性肾损伤电子预警系统综述
Adv Urol. 2024 Oct 1;2024:6456411. doi: 10.1155/2024/6456411. eCollection 2024.
4
Electronic Alert Systems for Patients With Acute Kidney Injury: A Systematic Review and Meta-Analysis.电子警示系统在急性肾损伤患者中的应用:系统评价与荟萃分析。
JAMA Netw Open. 2024 Aug 1;7(8):e2430401. doi: 10.1001/jamanetworkopen.2024.30401.
5
Chinese experts' consensus on the application of intensive care big data.中国专家关于重症监护大数据应用的共识
Front Med (Lausanne). 2024 Jan 8;10:1174429. doi: 10.3389/fmed.2023.1174429. eCollection 2023.
6
Automated Electronic Alert for the Care and Outcomes of Adults With Acute Kidney Injury: A Randomized Clinical Trial.自动化电子警报在成人急性肾损伤的护理和结局中的应用:一项随机临床试验。
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7
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J Clin Med. 2023 Oct 6;12(19):6391. doi: 10.3390/jcm12196391.
8
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Lancet. 2015 May 16;385(9981):1966-74. doi: 10.1016/S0140-6736(15)60266-5. Epub 2015 Feb 26.
5
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7
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9
Chronic kidney disease after acute kidney injury: a systematic review and meta-analysis.急性肾损伤后慢性肾脏病:系统评价和荟萃分析。
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10
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