FST Analysis Supporting Timely Therapy and Risk Assessment Via Clinical Decision Support for Kids
Purpose
The goal of this study is to learn whether adding a clinical decision support tool to the electronic medical record helps clinicians use the furosemide stress test in critically ill children at high risk for severe acute kidney injury (AKI). The main question it aims to answer is: Does implementing the decision support tool reduce fluid overload and help predict which children will receive dialysis? Researchers will identify children admitted to the pediatric intensive care unit who are at high risk for AKI using risk stratification and biomarker testing, then compare outcomes in the two years after the tool is introduced with the two years before.
Conditions
- Acute Kidney Injury
- Renal Replacement Therapy
- Pediatric Intensive Care Unit
Eligibility
- Eligible Ages
- All ages
- Eligible Sex
- All
- Accepts Healthy Volunteers
- No
Inclusion Criteria
- Admitted to the pediatric intensive care unit (PICU) - Renal Angina Index (RAI) greater than or equal to 8 (RAI+) - Urine NGAL greater than or equal to 150 ng/mL (NGAL+)
Exclusion Criteria
- Receipt of renal replacement therapy prior to PICU admission
Study Design
- Phase
- Study Type
- Observational
- Observational Model
- Cohort
- Time Perspective
- Prospective
Arm Groups
| Arm | Description | Assigned Intervention |
|---|---|---|
| Post-Implementation Cohort | All patients with RAI greater than or equal to 8 (RAI+) and NGAL greater than or equal to 150 ng/mL (NGAL+) in the two years after the clinical decision support tool is implemented. These patients will be compared to the cohort of patients with RAI greater than or equal to 8 and NGAL greater than or equal to 150 ng/mL in the two years before the clinical decision support (CDS) tool is implemented. |
|
Recruiting Locations
Cincinnati, Ohio 45229
More Details
- Status
- Recruiting
- Sponsor
- Children's Hospital Medical Center, Cincinnati
Study Contact
Detailed Description
Acute kidney injury (AKI) is common in critically ill children, and continuous renal replacement therapy (CRRT) is a mainstay of treatment for severe AKI. Delayed initiation of CRRT is associated with worse outcomes, but because CRRT carries risks, tools are needed to identify which patients will truly benefit from early initiation. Through previous work, the investigators have developed, tested, and integrated an AKI risk-stratification tool (the Renal Angina Index, RAI) and a urine biomarker (neutrophil gelatinase-associated lipocalin, NGAL) to identify patients at risk for developing severe AKI. The furosemide stress test (FST), previously validated in adults, measures urine output after a standardized dose of furosemide and may help predict which patients will receive dialysis versus those who can be managed medically. However, despite existing clinical decision support, fewer than half of eligible patients currently undergo an FST, suggesting that implementation varies by clinician preference rather than patient factors. The investigators will follow a cohort of patients admitted to the PICU who are identified as being at high risk for developing severe AKI through RAI and NGAL screening. Using a hybrid type 1 effectiveness-implementation design, the aim is to develop and implement a clinical decision support intervention that standardizes FST use in this population, evaluate whether this intervention is acceptable and feasible to clinicians, and determine its impact on patient outcomes. Outcomes in the two years after implementation will be compared with the two years before, with the primary outcome of reducing fluid overload. The investigators will also assess whether urine flow rate after the FST predicts receipt of CRRT and confirm that performing the FST does not increase the need for blood-pressure support.