The Effect of Automated Electronic Alert for Acute Kidney Injury on the Outcomes of Hospitalized Patients

Study Overview
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Brief Summary
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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.

Detailed Description
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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.

Official Title
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The Effect of Automated Electronic Alert for Acute Kidney Injury on the Outcomes of Hospitalized Patients: a Single Center Randomized Controlled Trial.

Conditions
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Acute Kidney Injury, Outcomes, Early Diagnosis

Intervention / Treatment
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* Device: AKI alert
* Other: Usual care


Participation Criteria
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Eligibility Criteria
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Inclusion Criteria: Hospitalized adult patients with an Alert for AKI(based on KDIGO guidelines) Exclusion Criteria: Patients already having eGFR<15ml/min/1.73m2 or receiving renal replacement therapy for AKI at the time of alert. Patients already having a AKI before admission.

Ages Eligible for Study
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Minimum Age: 18 Years

Sexes Eligible for Study
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All

Accepts Healthy Volunteers
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No

Study Plan
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How is the study designed?
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Design Details

Primary Purpose: Diagnostic
Allocation: Randomized
Intervention Model: Parallel Assignment
Masking: Double


Arms and Interventions

| Participant Group/Arm | Intervention/Treatment |
| --- | --- |
| Placebo Comparator: Usual care<br>Patients will receive standard clinical care by the doctor in charge. | Other: Usual care<br>* Patients will receive standard clinical care by the doctor in charge.<br>|
| Experimental: AKI alert<br>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<br>* 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.<br>|

What is the study measuring?
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Primary Outcome Measures

| Outcome Measure | Measure Description | Time Frame |
| --- | --- | --- |
| Estimated glomerular filtration rate changed within 7 days | Medical record | within 7 days diagnosed with AKI | 

Secondary Outcome Measures

| Outcome Measure | Measure Description | Time Frame |
| --- | --- | --- |
| seven-day mortality | Medical record | within 7 days diagnosed with AKI | 
| 30-day mortality | Medical record | within 30 days diagnosed with AKI | 
| 1-year mortality | telephone follow-up | within 1 year diagnosed with AKI | 
| receiving renal replacement therapy at seventh day | Medical record | 7 days | 
| receiving renal replacement therapy at 30th day | telephone follow-up | 30 days | 
| receiving renal replacement therapy at 1 year | telephone follow-up | 1 year | 
| the rate of stage 2 AKI | Medical record | within 7 days diagnosed with AKI | 
| the rate of stage 3 AKI | Medical record | within 7 days diagnosed with AKI | 
| the rate of AKI recovery at 90 day | telephone follow-up | 90 days | 
| the rate of timely-recognition of AKI | Medical record | 3 days | 
| the interventions for AKI | Medical record | within 7 days diagnosed with AKI | 
| Follow-up rate after discharge | telephone follow-up | 1 year |