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
Studieöversikt
Status
Betingelser
Intervention / Behandling
Detaljerad beskrivning
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
Studietyp
Inskrivning (Faktisk)
Fas
- Inte tillämpbar
Kontakter och platser
Studieorter
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Cairo, Egypten
- Cairo University Hospitals
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Deltagandekriterier
Urvalskriterier
Åldrar som är berättigade till studier
Tar emot friska volontärer
Kön som är behöriga för studier
Beskrivning
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
Studieplan
Hur är studien utformad?
Designdetaljer
- Primärt syfte: Förebyggande
- Tilldelning: Randomiserad
- Interventionsmodell: Parallellt uppdrag
- Maskning: Ingen (Open Label)
Vapen och interventioner
Deltagargrupp / Arm |
Intervention / Behandling |
|---|---|
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Inget ingripande: 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
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Aktiv komparator: 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
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Vad mäter studien?
Primära resultatmått
Resultatmått |
Åtgärdsbeskrivning |
Tidsram |
|---|---|---|
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Incidence of AKI
Tidsram: during 7 days of ICU admission
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We will compare the incidence rate between the interventional and the observational arm
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during 7 days of ICU admission
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Sekundära resultatmått
Resultatmått |
Åtgärdsbeskrivning |
Tidsram |
|---|---|---|
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30 day mortality
Tidsram: 30 days
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all cause mortality during 30 days of ICU admission or within 30 days of developement of AKI
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30 days
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Time to recovery after development of AKI
Tidsram: 30 days
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Time interval between the diagnosis of AKI and recovery of either blood chemistry or oliguria
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30 days
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Deterioration of AKI stage
Tidsram: 30 days
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Transition from initial stage KDIGO stage 1 to either 2 or 3 .Transition from initial stage 2 to 3
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30 days
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Duration of dialysis dependency
Tidsram: 30 days
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time patient remains dialysis-dependant after severe AKI.
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30 days
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Samarbetspartners och utredare
Sponsor
Studieavstämningsdatum
Studera stora datum
Studiestart (Faktisk)
Primärt slutförande (Faktisk)
Avslutad studie (Faktisk)
Studieregistreringsdatum
Först inskickad
Först inskickad som uppfyllde QC-kriterierna
Första postat (Faktisk)
Uppdateringar av studier
Senaste uppdatering publicerad (Faktisk)
Senaste inskickade uppdateringen som uppfyllde QC-kriterierna
Senast verifierad
Mer information
Termer relaterade till denna studie
Nyckelord
Ytterligare relevanta MeSH-villkor
Andra studie-ID-nummer
- KA-13050
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