Identification of Prognostic Urinary Biomarker for Acute Kidney Injury in Preterm Infants by Proteomics
NCT02743273 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 37
Last updated 2018-07-20
Summary
Clinical definitions of acute kidney injury (AKI) have been based on an increase in serum creatinine and a decrease in urine output. However, applying this definition to neonates remains challenging because of the normal renal physiologic features that serum creatinine levels are expected to increase in the first days after birth, and impaired sodium reabsorption and concentrating ability.
Because of several limitations of early detection of AKI, investigators are focused on identifying biomarkers that predict AKI before an increase serum creatinine level.
Investigators will collect urine from preterm infants before and after administrating ibuprofen for closing patent ductus arteriosus. To identify novel biomarkers, investigators will analyze urine by proteomics. To verify those biomarkers, investigators will use initial urine on the first day of life from preterm infants who diagnosed AKI within 7 days after birth without any risk factors for AKI and enrolled institutional bio-repository.
Conditions
Sponsors & Collaborators
-
Seoul National University Hospital
lead OTHER
Principal Investigators
-
Han-Suk Kim, MD, PhD. · Seoul National University Children's Hospital
Eligibility
- Max Age
- 3 Months
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2015-10-31
- Primary Completion
- 2016-08-31
- Completion
- 2017-11-30
Countries
- South Korea
Study Locations
More Related Trials
-
Assessment of Worldwide Acute Kidney Injury Epidemiology in Neonates 2.0
NCT06823115 ·Status: ENROLLING_BY_INVITATION
-
Follow-up of AKI in Neonates During Childhood Years
NCT02306642 ·Status: UNKNOWN
-
Intermittent Hypoxemia and Acute Kidney Injury Study (IHAKI Study)
NCT02837276 ·Status: COMPLETED
-
Assessment of Worldwide Acute Kidney Injury Epidemiology in Neonates
NCT02443389 ·Status: COMPLETED
-
Acute Kidney Injury in Neonates at NICU in Assiut University Children Hospital Descriptive Study
NCT03528837 ·Status: UNKNOWN
-
Utility of NGAL to Diagnose AKI in Critically Ill Children
NCT03034876 ·Status: UNKNOWN
-
Hematologic Ratios in Postoperative Acute Kidney Injury
NCT03658148 ·Status: WITHDRAWN
-
Acute Kidney Injury in Newborns With Perinatal Asphyxia
NCT03617055 ·Status: UNKNOWN
-
Urine Biomarkers to Predict Acute Kidney Injury After Pediatric Cardiac Surgery
NCT05637424 ·Status: COMPLETED
-
Prognosis and Risk Factors for Acute Kidney Injury
NCT06898944 ·Status: RECRUITING
-
NGAL, an Early Predictive Marker of Acute Kidney Injury After Cardiac Surgery in Neonates and Infants
NCT01219998 ·Status: COMPLETED
-
Validation of STARZ Score for Early Neonatal AKI
NCT07202858 ·Status: NOT_YET_RECRUITING
-
Study of the Prediction of Acute Kidney Injury in Children Using Risk Stratification and Biomarkers
NCT01735162 ·Status: COMPLETED
-
Role of Neuronal Guidance Proteins as Diagnostic Markers for Acute Kidney Injury (AKI)
NCT05924269 ·Status: NOT_YET_RECRUITING
-
Risk Factors and Deep Learning Model for CI-AKI
NCT06596785 ·Status: ACTIVE_NOT_RECRUITING
-
A Big Data Approach to Predict NEOnatal Acute Kidney Injury in Newborns expoSed to nephroTOxic Drugs (NeoAKI STOP)
NCT05851222 ·Status: UNKNOWN
-
Assessment of AI Prediction Models in Prediction of Acute Kidney Injury in Critical Patients
NCT06857188 ·Status: NOT_YET_RECRUITING
-
Acute Kidney Injury in Critically Ill Patients
NCT02765464 ·Status: COMPLETED
-
A Study of Acute Kidney Injury in Children at Sohag University Hospital
NCT05297214 ·Status: UNKNOWN
-
Use of NGAL for Fluid Dosing and CRRT Initiation in Pediatric and Neonatal AKI
NCT05114057 ·Status: WITHDRAWN ·Phase: NA
-
Risk Factors and Machine Learning Model for Diuretics Related Acute Kidney Injury
NCT05527054 ·Status: ACTIVE_NOT_RECRUITING
-
Clinical Values of Automated Electronic Alert for Acute Kidney Injury
NCT02793167 ·Status: COMPLETED ·Phase: NA
-
Observational Study of Pediatric Acute Kidney Injury, Risk Factors and Outcomes
NCT01987921 ·Status: COMPLETED
-
Development and Validation of a Real-time Prediction Model for Acute Kidney Injury in Hospitalized Patients
NCT06597838 ·Status: RECRUITING
-
Machine Learning Predict Renal Replacement Therapy After Cardiac Surgery
NCT04977687 ·Status: COMPLETED