Electronic Alerting Tool to Help Prevent Acute Kidney Injury
'Preventable Acute Kidney Injury (AKI) Should Never Occur.' The Use of a Novel Electronic Prediction Alerting Tool to Deliver an Individualised Care Package for Hospital In-patients at Risk of AKI
1 other identifier
interventional
30,298
1 country
1
Brief Summary
Around a third of patients who develop acute kidney injury (AKI) do so after a hospital admission (hospital-acquired - HA-AKI). The primary aim of the study is to prospectively test whether introducing a complex intervention (a 'care package' - comprising a clinical prediction rule incorporating an electronic alert which generates a checklist for patient management to relevant health professionals) can identify patients on admission to hospital who are at risk of developing HA-AKI, highlight the need for closer monitoring and allow putative preventative measures to be put in place. The investigators will introduce the care package in one acute hospital and evaluate its effectiveness in reducing HA-AKI and its associated morbidity, over ten months, compared to a sister hospital within the same Trust (which will act as a control site). The investigators will extend evaluation for a further ten months to assess sustainability on the first site and introduce the package at the control hospital to assess generalisability. The primary aim is reducing HA-AKI, but secondary aims will include improved outcomes associated with HA-AKI, management of patients already with AKI on admission to hospital (whose care may also benefit from the checklist) and a cost-effectiveness analysis.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for not_applicable
Started Jul 2014
Typical duration for not_applicable
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
July 1, 2014
CompletedFirst Submitted
Initial submission to the registry
September 1, 2015
CompletedPrimary Completion
Last participant's last visit for primary outcome
April 1, 2016
CompletedStudy Completion
Last participant's last visit for all outcomes
October 1, 2016
CompletedFirst Posted
Study publicly available on registry
February 9, 2017
CompletedFebruary 9, 2017
April 1, 2016
1.8 years
September 1, 2015
February 8, 2017
Conditions
Outcome Measures
Primary Outcomes (1)
Hospital Acquired AKI (HA-AKI) - KDIGO rise in serum creatinine
HA-AKI will be defined as per KDIGO change in serum creatinine i.e. a ≥26.4μmol/L increase within a 48 hour period (during the first 7 days of admission to hospital) or a 1.5 times increase vs the admission result within the first 7 days of admission to hospital.
<7 days from time of hospital admission
Secondary Outcomes (5)
Admission to Intensive Care Unit (ICU)
At any time point during the admission under analysis i.e. from admission to either discharge from the hospital or death in-hospital, participants will be followed for the duration of hospital stay, expected average of 7 days.
Mortality
During the index hospital admission. Each participant will be followed for the duration of hospital stay, an expected average of 7 days.
Mortality associated with AKI on admission
During the index hospital admission. Each participant will be followed for the duration of hospital stay, an expected average of 7 days.
Magnitude of acute deterioration in Creatinine
From admission to peak creatinine within the first 7 days of the index admission.
Requirement for renal replacement therapies
During the hospital admission. During the index hospital admission. Each participant will be followed for the duration of hospital stay, an expected average of 7 days.
Study Arms (2)
Worthing Hospital site
ACTIVE COMPARATORAKI Care bundle instituted at Worthing site
Chichester Hospital site
NO INTERVENTIONContinues standard care
Interventions
Patients identified as high risk of AKI by the electronic clinical prediction model will be managed with a care bundle of best practice.
Eligibility Criteria
You may qualify if:
- Admission as an emergency
- Spending at least one night as an in-patient
You may not qualify if:
- Patients under 18
- Patients not admitted as emergencies or staying less than one night in hospital.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Western Sussex Hospitals NHS Trustlead
- University of Southamptoncollaborator
Study Sites (1)
Western Sussex Hospitals NHS Foundation Trust
Worthing, West Suusex, United Kingdom
Related Publications (1)
Hodgson LE, Roderick PJ, Venn RM, Yao GL, Dimitrov BD, Forni LG. The ICE-AKI study: Impact analysis of a Clinical prediction rule and Electronic AKI alert in general medical patients. PLoS One. 2018 Aug 8;13(8):e0200584. doi: 10.1371/journal.pone.0200584. eCollection 2018.
PMID: 30089118DERIVED
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Richard Venn, MBBS
Western Sussex Hospitals NHS FT
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- NON RANDOMIZED
- Masking
- NONE
- Purpose
- HEALTH SERVICES RESEARCH
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
September 1, 2015
First Posted
February 9, 2017
Study Start
July 1, 2014
Primary Completion
April 1, 2016
Study Completion
October 1, 2016
Last Updated
February 9, 2017
Record last verified: 2016-04