Preventing Acute Kidney Injury and Improving Outcome in Critically Ill Patients Utilising Risk Prediction Score (PRAIOC-RISKS)
Preventing Acute Kidney Injury and Improving Outcome in Critically Ill Patients Utilising Risk Prediction Score - a Pilot Feasibility Randomized Controlled Trial
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Detailed Description
Background and rationale AKI is common in the intensive care unit .It contributes significantly to mortality and morbidity .the estimated incidence or AKI among critically ill patients is 30-40% and morality is high.
There is a well recognized gap between the optimal care and the delivered care regarding prevention and management of AKI.
The focus over the last few years has been on early detection. A panel of urinary biomarkers have proved helpful for early detection of AKI. However the cost and low specificity make no single one of them solely reliable .using a panel of bio-markers increases their specificity.
The concept of electronic alerts has been recently introduced. Some trials have been testing its impact on the outcome of AKI. The benefit of electronic alerts is still uncertain .A meta-analysis is currently underway to synthesize stronger evidence of electronic alerts benefit.
Another evolving area, is the development of risk score to predict AKI and and hence applying timely preventive measures.
KDIGO recommends applying preventive measures to high risk patients. However no study to date has tested risk scores based interventions
Hypothesis:
We will use the recently validated score to predict AKI in ICU patients. We will then apply preventive measures. To patients at risk .To our knowledge this is the first study to apply preventive interventions based on AKI risk score assessment
Study Type
Study Type
Enrollment (Actual)
Enrollment
Phase
Phase
- Not Applicable
Contacts and Locations
Study Locations
-
-
-
Cairo, Egypt
- Cairo University Hospitals
-
-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Description
Inclusion Criteria:
All adult patients (≥18 year old) admitted to the intensive care unit and do not fulfill the criteria for the diagnosis of AKI by Kidney Disease Improving Global Outcome (KDIGO) definition
Exclusion Criteria:
- Patients who have already developed AKI at the time of intensive care unit ICU admission.
- Patients with insufficient medical records to obtain previous medical history
- Patients who lack mental capacity
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Prevention
- Allocation: Randomized
- Interventional Model: Parallel Assignment
- Masking: None (Open Label)
Number of Arms
Arms and Interventions
Participant Group / ArmParticipant Group / Arm |
Intervention / TreatmentIntervention / Treatment |
|---|---|
|
No Intervention: Observational
patients will be recruited to this arm to observe prospectively the incidence of AKI among critically ill patients.patients
will receive the standard care.No other intervention will be delivered
|
|
|
Active Comparator: Interventional
Patients in this arm will be subject to AKI risk score.
This risk score was recently developed and validated in Mayo clinic the intervention will be Measures to prevent AKI among critically ill patients
|
|
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Incidence of AKI
Time Frame: during 7 days of ICU admission
|
We will compare the incidence rate between the interventional and the observational arm
|
during 7 days of ICU admission
|
Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
30 day mortality
Time Frame: 30 days
|
all cause mortality during 30 days of ICU admission or within 30 days of developement of AKI
|
30 days
|
|
Time to recovery after development of AKI
Time Frame: 30 days
|
Time interval between the diagnosis of AKI and recovery of either blood chemistry or oliguria
|
30 days
|
|
Deterioration of AKI stage
Time Frame: 30 days
|
Transition from initial stage KDIGO stage 1 to either 2 or 3 .Transition from initial stage 2 to 3
|
30 days
|
|
Duration of dialysis dependency
Time Frame: 30 days
|
time patient remains dialysis-dependant after severe AKI.
|
30 days
|
Collaborators and Investigators
Sponsor
Sponsor
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Actual)
Primary Completion
Study Completion (Actual)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- KA-13050
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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