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This study will follow patients admitted to the PICU with sepsis, NICU with sepsis or after abdominal surgery, or CICU who are identified as being at risk for developing acute kidney injury. The investigators will use risk-stratification, biomarker testing, and a functional assessment to predict children and neonates who will become fluid overloaded and develop severe acute kidney injury.
In the pediatric population, acute kidney injury (AKI) is commonly observed in critically ill patients. At this time, there are no standardized care pathways that begin at identifying patients at risk for developing AKI and progress through to early recognition and treatment. Through previous work, the investigators have integrated a risk-stratification tool (renal angina index or RAI) and a urine biomarker (NGAL) to try to identify PICU patients at risk versus not at-risk for developing AKI. Through this study, the investigators will tailor the RAI to the septic population in the PICU, create a new NICU RAI, and investigate the utility of the CICU specific RAI in a prospective population. Biomarker testing will be used to further risk-stratify those patients deemed at highest risk through the RAI.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| PICU Patients | Other | Prospectively enrolled patients admitted to the PICU will be assessed by the RAI calibration for sepsis in the PICU and including additional risk factors. |
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| CICU Patients | Other | Prospectively enrolled patients admitted to the CICU will be assessed by the RAI calibration specific to the CICU, especially post cardiac bypass |
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| NICU Patients | Other | Prospectively enrolled patients admitted to the NICU will be assessed by the RAI calibration for neonatal patients with sepsis or post abdominal surgeries |
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Renal Angina Index (RAI) | Other | Risk-stratification tool using measures of risk and presence of injury to predict Acute Kidney Injury |
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| Measure | Description | Time Frame |
|---|---|---|
| Clinical Decision Support Performance | Accuracy of the risk stratification and biomarker testing to rule out Acute Kidney Injury at ICU Days 2-4 as measured by the negative predictive value (NPV) | Days 2-4 after ICU admission |
| Measure | Description | Time Frame |
|---|---|---|
| Rate of Clinical Decision Support Completion | Time to complete the risk stratification and biomarker testing is less than 48 hours | 48 hours |
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Inclusion Criteria:
Exclusion Criteria:
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| Name | Affiliation | Role |
|---|---|---|
| Stuart L Goldstein, MD | Children's Hospital Medical Center, Cincinnati | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Cincinnati Children's Hospital Medical Center | Cincinnati | Ohio | 45229 | United States |
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| ID | Term |
|---|---|
| D058186 | Acute Kidney Injury |
| D000071074 | Neonatal Sepsis |
| ID | Term |
|---|---|
| D051437 | Renal Insufficiency |
| D007674 | Kidney Diseases |
| D014570 | Urologic Diseases |
| D052776 | Female Urogenital Diseases |
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| D005261 |
| Female Urogenital Diseases and Pregnancy Complications |
| D000091642 | Urogenital Diseases |
| D052801 | Male Urogenital Diseases |
| D018805 | Sepsis |
| D007239 | Infections |
| D007232 | Infant, Newborn, Diseases |
| D009358 | Congenital, Hereditary, and Neonatal Diseases and Abnormalities |
| D018746 | Systemic Inflammatory Response Syndrome |
| D007249 | Inflammation |
| D010335 | Pathologic Processes |
| D013568 | Pathological Conditions, Signs and Symptoms |