Observational Study on Predicting Acute Kidney Injury in Children
This study is looking at how well a special computer program can predict if children in the intensive care unit (ICU) will develop acute kidney injury (AKI). AKI is a sudden and serious problem where the kidneys stop working properly. Researchers are using an existing prediction tool and will compare its predictions to what actually happens with patients. The tool's predictions will not be shown to the doctors and nurses caring for the children. The main goal is to see how accurately this tool can identify AKI within the first 72 hours of a child being admitted to the ICU. This study is for children aged 30 days to 18 years who are admitted to the Pediatric Intensive Care Unit or Pediatric Cardiac Intensive Care Unit.
- Study design
- This is an observational study, meaning researchers will watch and collect information without giving any treatments. It aims to include 800 participants.
- What's involved
- Not specified in the trial record.
- Compensation
- Not stated in the trial record.
- Follow-up
- Researchers will look for acute kidney injury within 72 hours following ICU admission.
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Prospective Validation of AKI Prediction
At a glance
Conditions
Where it's being run
1 sites across 1 statesWho to contact
This trial hasn't published a contact. View it on ClinicalTrials.gov
Do you actually qualify for this trial?
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Inclusion
Exclusion
What this trial measures
- Acute Kidney Injury (AKI) within the first 72 hours of ICU admissionWithin 72 hours following ICU Admission
Acute Kidney Injury (AKI) defined by KDIGO stages 1, 2, or 3, based on changes in serum creatinine levels or urine output (UOP), assessed within the first 72 hours of ICU admission. Stage 1 is defined by a 1.5 to 1.9 times baseline serum creatinine or an increase of ≥0.3 mg/dL. Stage 2 is a 2.0 to 2.9 times baseline increase, and Stage 3 is a 3.0 times baseline increase or a serum creatinine ≥4.0 mg/dL.