The Effect of Automated Electronic Alert for Acute Kidney Injury on the Outcomes of Hospitalized Patients
Study Details
Study Description
Brief Summary
Acute kidney injury (AKI) is a common disease, but diagnosis is usually delayed or missed in hospitalized patients. The automated electronic alert for AKI may help to improve the outcomes of these patients through identifying all cases of AKI early. Therefore, the investigators conduct a randomly controlled study to test whether automated electronic alert for AKI could improve the outcomes of hospitalized patients.
Condition or Disease | Intervention/Treatment | Phase |
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N/A |
Detailed Description
Acute kidney injury (AKI) is a common disease, but diagnosis is usually delayed or missed in hospitalized patients. The automated electronic alert for AKI may help to improve the outcomes of these patients through identifying all cases of AKI early. Therefore, the investigators conduct a randomly controlled study to test whether automated electronic alert for AKI could improve the outcomes of hospitalized patients.
The patients were randomly divided into two groups:
Usual care : patients will receive standard clinical care by the primary physicians AKI alert : an AKI alert will be sent to the doctor in charge. The team of kidney experts would give a suggestion if the doctor in charge need a renal consultation.
Study Design
Arms and Interventions
Arm | Intervention/Treatment |
---|---|
Placebo Comparator: Usual care Patients will receive standard clinical care by the doctor in charge. |
Other: Usual care
Patients will receive standard clinical care by the doctor in charge.
|
Experimental: AKI alert An AKI alert will send to the the doctor in charge. The team of nephrologists would give suggestions if the doctor in charge need a renal consultation. |
Device: AKI alert
An AKI alert will send to the doctor in charge. The team of nephrologists would give suggestions if the doctor in charge need a renal consultation.
|
Outcome Measures
Primary Outcome Measures
- Estimated glomerular filtration rate changed within 7 days [within 7 days diagnosed with AKI]
Medical record
Secondary Outcome Measures
- seven-day mortality [within 7 days diagnosed with AKI]
Medical record
- 30-day mortality [within 30 days diagnosed with AKI]
Medical record
- 1-year mortality [within 1 year diagnosed with AKI]
telephone follow-up
- receiving renal replacement therapy at seventh day [7 days]
Medical record
- receiving renal replacement therapy at 30th day [30 days]
telephone follow-up
- receiving renal replacement therapy at 1 year [1 year]
telephone follow-up
- the rate of stage 2 AKI [within 7 days diagnosed with AKI]
Medical record
- the rate of stage 3 AKI [within 7 days diagnosed with AKI]
Medical record
- the rate of AKI recovery at 90 day [90 days]
telephone follow-up
- the rate of timely-recognition of AKI [3 days]
Medical record
- the interventions for AKI [within 7 days diagnosed with AKI]
Medical record
- Follow-up rate after discharge [1 year]
telephone follow-up
Eligibility Criteria
Criteria
Inclusion Criteria:
- Hospitalized adult patients with an Alert for AKI(based on KDIGO guidelines)
Exclusion Criteria:
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Patients already having eGFR<15ml/min/1.73m2 or receiving renal replacement therapy for AKI at the time of alert.
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Patients already having a AKI before admission.
Contacts and Locations
Locations
Site | City | State | Country | Postal Code | |
---|---|---|---|---|---|
1 | Jiangsu Province Hospital | Nanjing | Jiangsu | China | 210029 |
Sponsors and Collaborators
- The First Affiliated Hospital with Nanjing Medical University
Investigators
- Principal Investigator: Huijuan Mao, PhD,MD, Department of Nephrology, The First Affiliated Hospital of Nanjing Medical University
Study Documents (Full-Text)
None provided.More Information
Publications
- Wilson FP, Shashaty M, Testani J, Aqeel I, Borovskiy Y, Ellenberg SS, Feldman HI, Fernandez H, Gitelman Y, Lin J, Negoianu D, Parikh CR, Reese PP, Urbani R, Fuchs B. Automated, electronic alerts for acute kidney injury: a single-blind, parallel-group, randomised controlled trial. Lancet. 2015 May 16;385(9981):1966-74. doi: 10.1016/S0140-6736(15)60266-5. Epub 2015 Feb 26.
- Wu B, Li L, Cheng X, Yan W, Liu Y, Xing C, Mao H. Propensity-score-matched evaluation of under-recognition of acute kidney injury and short-term outcomes. Sci Rep. 2018 Oct 11;8(1):15171. doi: 10.1038/s41598-018-33103-9.
- Yang L, Xing G, Wang L, Wu Y, Li S, Xu G, He Q, Chen J, Chen M, Liu X, Zhu Z, Yang L, Lian X, Ding F, Li Y, Wang H, Wang J, Wang R, Mei C, Xu J, Li R, Cao J, Zhang L, Wang Y, Xu J, Bao B, Liu B, Chen H, Li S, Zha Y, Luo Q, Chen D, Shen Y, Liao Y, Zhang Z, Wang X, Zhang K, Liu L, Mao P, Guo C, Li J, Wang Z, Bai S, Shi S, Wang Y, Wang J, Liu Z, Wang F, Huang D, Wang S, Ge S, Shen Q, Zhang P, Wu L, Pan M, Zou X, Zhu P, Zhao J, Zhou M, Yang L, Hu W, Wang J, Liu B, Zhang T, Han J, Wen T, Zhao M, Wang H; ISN AKF 0by25 China Consortiums. Acute kidney injury in China: a cross-sectional survey. Lancet. 2015 Oct 10;386(10002):1465-71. doi: 10.1016/S0140-6736(15)00344-X.
- 2018-SR-180