Controlled Trial to Demonstrate a Reduction in the Number of Oliguria Events in Patients Being Managed in a Critical Care Unit, Following Cardiac Surgery, When a Novel Oliguria Prediction Tool (STABILITY UO) is Used to Identify Patients at Risk, Compared to Standard of Care.
NCT ID: NCT05001503
Last Updated: 2022-04-28
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
Get a concise snapshot of the trial, including recruitment status, study phase, enrollment targets, and key timeline milestones.
UNKNOWN
NA
362 participants
INTERVENTIONAL
2022-05-31
2023-06-30
Brief Summary
Review the sponsor-provided synopsis that highlights what the study is about and why it is being conducted.
One way that AKI is diagnosed is by looking at a patient's urine output and checking how much is produced over time. If this value is too low for a patient, they are diagnosed with oliguria. Too many of these oliguria events leads to a diagnosis of AKI. The product to be tested (Stability UO) aims to reduce the number of patients who suffer three or more oliguria events after surgery by processing the data entered by the care team and providing the care team with additional information about the patient's risk of oliguria over the next six hours.
Patients over 18 who present at Manchester University NHS Foundation Trust for non-emergency cardiac surgery will be screened and asked to consent to be randomised as part of the trial. Patients undergoing certain operations and those with unsuitable medical history (e.g. patients being treated for dialysis) will not be invited to participate. The randomisation will determine if their care team has access to the Stability UO software after surgery. While the care team looks after the patients in the cardiothoracic critical care unit (CTCCU) after surgery, they will enter that the patient's weight and amount of urine passed each hour into the software and review the output. The primary questions the study will answer is if there is a difference between number of oliguria events between the two groups of patients.
The study is funded by the device manufacturer: Rinicare Ltd.
Related Clinical Trials
Explore similar clinical trials based on study characteristics and research focus.
Can Urinary Partial Oxygen Pressure be an Indicator of Acute Kidney Injury in Patients With Sepsis?
NCT06124105
Preventing Acute Kidney Injury and Improving Outcome in Critically Ill Patients Utilising Risk Prediction Score
NCT03178435
Incidence of Acute Kidney Injury and Mortality in Critically Ill Patients: Urinary Chloride as a Prognostic Marker
NCT05542927
Performance of Diuretic Stress Test in Predicting Short Term Renal Recovery in Oliguric Critically-ill Patients Recovery in the Short Term
NCT02800135
Evaluation of U-AKIpredTM for Predicting AKI in Critically Ill Patients Within 12 Hours: a Multicenter Prospective Cohort Study
NCT06496555
Detailed Description
Dive into the extended narrative that explains the scientific background, objectives, and procedures in greater depth.
Conditions
See the medical conditions and disease areas that this research is targeting or investigating.
Study Design
Understand how the trial is structured, including allocation methods, masking strategies, primary purpose, and other design elements.
RANDOMIZED
PARALLEL
PREVENTION
DOUBLE
Study Groups
Review each arm or cohort in the study, along with the interventions and objectives associated with them.
Intervention Group
The clinical team has access to the Stability UO software. All other care is given as standard.
Stability UO
STABILITY UO is a standalone software, based on a Bayesian model, which quantifies the risk of an individual patient developing severe oliguria (0.3mg/kg/hr for 6 hours). The model identifies at risk patients by predicting future urine output, using only previously recorded urine output values for that individual, allowing clinicians to see the predicted risk of a patient developing severe oliguria in real time.
Control Group
Standard care given.
No interventions assigned to this group
Interventions
Learn about the drugs, procedures, or behavioral strategies being tested and how they are applied within this trial.
Stability UO
STABILITY UO is a standalone software, based on a Bayesian model, which quantifies the risk of an individual patient developing severe oliguria (0.3mg/kg/hr for 6 hours). The model identifies at risk patients by predicting future urine output, using only previously recorded urine output values for that individual, allowing clinicians to see the predicted risk of a patient developing severe oliguria in real time.
Eligibility Criteria
Check the participation requirements, including inclusion and exclusion rules, age limits, and whether healthy volunteers are accepted.
Inclusion Criteria
* Patient is Male or Female, aged 18 years or above,
* Patient is due to undergo elective or urgent cardiac surgery, and who is expected to be managed on the CTCCU postoperatively,
* In the Investigator's opinion, able and willing to comply with all study requirements.
Exclusion Criteria
* Patients having ventricular assist device implantation,
* Patients receiving a heart transplant,
* Patients who would be unable to be treated by standard of care CTCCU therapies and practices,
* Patients who are receiving pre or intra-operative dialysis or haemofiltration.
* Any other significant disease or disorder which, in the opinion of the Investigator, may either put the participant at risk because of participation in the study, or may influence the result of the study, or the participant's ability to participate in the study.
18 Years
ALL
Yes
Sponsors
Meet the organizations funding or collaborating on the study and learn about their roles.
Manchester University NHS Foundation Trust
OTHER_GOV
Rinicare Ltd
INDUSTRY
Responsible Party
Identify the individual or organization who holds primary responsibility for the study information submitted to regulators.
Principal Investigators
Learn about the lead researchers overseeing the trial and their institutional affiliations.
Roberto Mosca, MD
Role: PRINCIPAL_INVESTIGATOR
Manchester University NHS Foundation Trust
Locations
Explore where the study is taking place and check the recruitment status at each participating site.
Wythenshawe Hospital (Manchester University NHS Foundation Trust
Manchester, Greater Manchester, United Kingdom
Countries
Review the countries where the study has at least one active or historical site.
Central Contacts
Reach out to these primary contacts for questions about participation or study logistics.
Facility Contacts
Find local site contact details for specific facilities participating in the trial.
References
Explore related publications, articles, or registry entries linked to this study.
Howitt SH, Oakley J, Caiado C, Goldstein M, Malagon I, McCollum C, Grant SW. A Novel Patient-Specific Model for Predicting Severe Oliguria; Development and Comparison With Kidney Disease: Improving Global Outcomes Acute Kidney Injury Classification. Crit Care Med. 2020 Jan;48(1):e18-e25. doi: 10.1097/CCM.0000000000004074.
Howitt SH, Grant SW, Caiado C, Carlson E, Kwon D, Dimarakis I, Malagon I, McCollum C. The KDIGO acute kidney injury guidelines for cardiac surgery patients in critical care: a validation study. BMC Nephrol. 2018 Jun 25;19(1):149. doi: 10.1186/s12882-018-0946-x.
Other Identifiers
Review additional registry numbers or institutional identifiers associated with this trial.
Stability UO 001 v1.0
Identifier Type: -
Identifier Source: org_study_id
More Related Trials
Additional clinical trials that may be relevant based on similarity analysis.