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Assessment of Worldwide Acute Kidney Injury Epidemiology in Neonates

Assessment of Worldwide Acute Kidney Injury Epidemiology in Neonates

Status
Completed
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT02443389
Acronym
AWAKEN
Enrollment
2186
Registered
2015-05-13
Start date
2015-03-31
Completion date
2016-03-31
Last updated
2022-12-15

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Acute Kidney Injury

Keywords

nephrotoxic, Fluid overload, Acute renal failure, Prematurity, Risk factors, Epidemiology

Brief summary

Introduction: Based on single-center data, approximately 1 of every 3 newborns admitted to tertiary level neonatal intensive care units (NICU) develops acute kidney injury (AKI), and those with AKI have significantly worse outcomes. To stimulate discussion among researchers, the NIH NIDDK sponsored a workshop on neonatal AKI in April 2013. At that workshop, the group recognized the need to improve collaborations between neonatologists and nephrologists within and across centers. The investigators have created a multi-institutional, multi-disciplinary group, Neonatal Kidney Collaborative (NKC), in order to address the following critical needs identified at the workshop: AWAKEN is the inaugural study of this new collaboration. 1. Development of a standardized evidence-based definition of neonatal AKI 2. Evaluation of risk factors that predispose neonatal to AKI 3. Investigation into how fluid provision/ balance impacts biochemical and clinical outcomes

Detailed description

The investigators will conduct a multi-center retrospective cohort study. The investigators will enroll eligible infants who meet inclusion and exclusion criteria at each center for 3 consecutive months. Based on average admissions for 2013 at our centers who meet inclusion and exclusion criteria, and estimate that it can enroll approximately 3000 infants during this time. A. Specific Aim 1: Determine if the proposed neonatal AKI definition adapted to neonates is able to predict mortality, length of stay, and discharge serum creatinine (SCr). 1. Our primary hypothesis is that higher stages of AKI are associated with mortality, even after controlling for severity of illness, interventions and demographics. 2. Populations 1. Inclusion Criteria - All infants born or admitted to a level 2 or 3 NICU will be screened. Infants who received intravenous fluids for \> 48 hours will be eligible. 2. Exclusion -- Infants admitted to the NICU at 2 weeks of age or older; Infants who undergo cardiovascular surgery repair of a congenital heart lesion within 1 week of life; Infants diagnosed with a lethal anomaly upon admission; Infants who die within 48 hours after birth 3. Primary Exposure - Neonatal AKI definitions (table 3) 4. Primary Outcome - Survival 1. In premature infants - defined as survival to 36 weeks post gestational age or hospital discharge (whichever comes first) 2. In term infants - defined as hospital survival to 28 days. 5. Secondary outcomes 1. Hospital length of stay 2. Last serum creatinine obtained 6. Potential confounders - gestational age, birth weight, 5 minute APGAR score, multiple gestation, significant renal anomalies, SNAP-II score 7. Exploratory outcomes - recognize that the proposed definition may not be the best definition to predict clinical outcomes. Also recognize that there may be a need to have different definitions for premature infants. The investigators plan to explore how other definitions reported in the literature can predict these outcomes (for example using the 90th % for normative values). In addition, this will have the largest comprehensive database to explore new definitions which could incorporate urine output, fluid balance and other factors. B. Specific Aim 2: Define the risk factors associated with neonatal AKI. 1. Our hypothesis is that maternal and infant risk factors will predict AKI. 2. Population - same as in Specific Aim 1 3. Design - randomize cohort to a prediction and a validation groups. Develop a risk factor prediction model with the first group, and test the ability of the model to predict AKI with the second group. 4. Exposures (see full list in appendix 1 - Data collection sheets) 1. Maternal Demographic Factors 2. Neonatal Demographic Factors 3. Interventions / Medications 4. Co-Morbidities 5. Primary Outcome - KDIGO AKI definition modified for neonates (Table 3). C. Specific Aim 3: Determine how fluid balance during the first few weeks of life relates to biochemical data and clinical outcomes. 1. Our hypotheses are that fluid provision affects chemistry panels (serum creatinine, blood urea nitrogen, serum sodium) and that fluid balance is associated with clinical outcomes. 2. Population - same as in Specific Aim 1 3. Design 1. Evaluation of fluid balance - will use birth weight as the reference weight and calculate changes in weight over time as a percentage of birth weight. 2. Will describe the association between fluid balance and changes in serum creatinine (SCr), blood urea nitrogen (BUN) and serum sodium. 3. Will then evaluate how fluid balance (and the associated biochemical changes) affects clinical outcomes. 4. Primary Clinical Outcome - Survival 1. In premature infants - defined as survival to 36 weeks post gestational age or hospital discharge (whichever comes first) 2. In term infants - defined as hospital survival to 28 days. 5. Secondary outcomes 1. Hospital length of stay 2. Ventilator free days in the first 28 days of life. 3. Bronchopulmonary dysplasia 4. Intraventricular hemorrhage 5. Last serum creatinine obtained 6. Use of blood pressure support medications 7. Use of diuretics 8. Patent ductus arteriosus Data will be captured at each institution and entered into web-based forms in real time. The investigators plan to have 5 different integrated forms: 1. Screening form 2. Baseline form for included infants 3. Daily Assessment form (first 7 days after birth) 4. Weekly Assessment form (weeks 2 - 18) 5. Discharge form

Interventions

None listed

Sponsors

Children's Hospital Medical Center, Cincinnati
CollaboratorOTHER
George Washington University
CollaboratorOTHER
McGill University
CollaboratorOTHER
Albert Einstein College of Medicine
CollaboratorOTHER
University of Rochester
CollaboratorOTHER
University of British Columbia
CollaboratorOTHER
University of Iowa
CollaboratorOTHER
University of Michigan
CollaboratorOTHER
University of New Mexico
CollaboratorOTHER
University of Virginia
CollaboratorOTHER
University of Washington
CollaboratorOTHER
University of Miami
CollaboratorOTHER
Case Western Reserve University
CollaboratorOTHER
University of Kentucky
CollaboratorOTHER
Maimonides Medical Center
CollaboratorOTHER
Stony Brook University
CollaboratorOTHER
The Canberra Hospital
CollaboratorOTHER
Children's Hospital Colorado
CollaboratorOTHER
St. Louis Children's Hospital
CollaboratorOTHER
Baylor College of Medicine
CollaboratorOTHER
Medanta, The Medicity, India
CollaboratorOTHER
Ohio State University
CollaboratorOTHER
University of Alabama at Birmingham
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
OTHER

Eligibility

Sex/Gender
ALL
Age
1 Minutes to 2 Weeks
Healthy volunteers
No

Inclusion criteria

1. All infants born or admitted to a level 2 or 3 NICU will be screened. 2. Infants who received intravenous fluids for \> 48 hours will be eligible.

Exclusion criteria

1. Infants admitted to the NICU at 2 weeks of age or older 2. Infants who undergo cardiovascular surgery repair of a congenital heart lesion within 1 week of life 3. Infants diagnosed with a lethal anomaly upon admission 4. Infants who die within 48 hours after birth

Design outcomes

Primary

MeasureTime frame
Determine if the KDIGO AKI definition adapted to neonates can predict mortality, length of stay, and discharge serum creatinine (SCr).NICU admit though 18 weeks hospitalization or hospital discharge whichever comes first.
Define the major risk factors associated with neonatal AKI. We will randomly split the cohort into two groups. We will develop a risk factor prediction model with the first group, and test the ability of the model to predict AKI with the second group.NICU admit though 18 weeks hospitalization or hospital discharge whichever comes first.
Determine how fluid balance during the first few weeks of life relates to biochemical data and clinical outcomes.NICU admit though 18 weeks hospitalization or hospital discharge whichever comes first.

Countries

United States

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 20, 2026