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Validation of STARZ Score for Early Neonatal AKI

Validation of the STARZ Score for Early Prediction of Neonatal Acute Kidney Injury in Assuit University Children Hospital

Status
Not yet recruiting
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT07202858
Enrollment
140
Registered
2025-10-02
Start date
2025-10-01
Completion date
2027-11-30
Last updated
2025-10-02

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

Conditions

Acute Kidney Injury, Kidney Diseases, Newborn

Keywords

Neonatal Acute Kidney Injury, STARZ Score, NICU

Brief summary

Neonatal acute kidney injury (AKI) is a common complication in the NICU, associated with high morbidity and mortality. Prematurity, low birthweight, sepsis, asphyxia, congenital heart disease, and nephrotoxic drugs are major risk factors. Early diagnosis is challenging as serum creatinine lacks sensitivity. The STARZ score, a composite clinical-laboratory tool, has shown high accuracy for predicting early neonatal AKI. This study aims to validate the STARZ score in neonates admitted to Assiut University Children's Hospital for early identification of AKI and improved clinical outcomes.

Detailed description

Neonatal acute kidney injury (AKI) is a frequent and serious complication in the neonatal intensive care unit (NICU), with incidence rates ranging from 6% to 24% and reaching up to 70% in high-risk populations depending on diagnostic criteria. Prematurity, low birthweight, sepsis, perinatal asphyxia, congenital heart disease, respiratory distress, shock, and exposure to nephrotoxic medications are established risk factors. Neonatal AKI is associated with increased mortality, prolonged hospitalization, and long-term renal complications, including chronic kidney disease. Traditional diagnostic tools, such as serum creatinine, are limited by delayed changes and poor sensitivity in neonates. Risk stratification models offer an opportunity for earlier detection and proactive intervention. The STARZ score is a composite risk assessment tool incorporating clinical and laboratory parameters, and has demonstrated high predictive accuracy in previous studies, with sensitivity above 85% and specificity around 90% for early neonatal AKI. This prospective study at Assiut University Children's Hospital aims to validate the STARZ score for predicting neonatal AKI within the first 7 days of NICU admission. The study will assess its predictive performance compared with conventional criteria, evaluate its role in risk stratification and guiding timely interventions, and examine the potential benefits in terms of cost-effectiveness and healthcare resource utilization.

Interventions

None listed

Sponsors

Assiut University
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
0 Hours to 28 Days

Inclusion criteria

* Neonates admitted to the NICU within 48 hours of birth. * Gestational age ≥ 28weeks. * Birth weight ≥ 1000grams. * Neonates with clinical indications necessitating laboratory investigations relevant to kidney function monitoring as part of standard care. * Parental or guardian consent obtained for study participation.

Exclusion criteria

* Neonates with known congenital renal anomalies diagnosed antenatally or postnatally. * Neonates with chromosomal abnormalities or genetic syndromes affecting renal function. * Neonates discharged, transferred, or deceased within 24 hours of admission. * Neonates with incomplete medical records or missing key laboratory data

Design outcomes

Primary

MeasureTime frameDescription
Predictive accuracy of STARZ score for early neonatal AKIWithin the first 7 days of NICU admissionValidation of the STARZ risk stratification score for identifying neonates at risk of AKI within the first 7 days of NICU admission

Secondary

MeasureTime frameDescription
Comparison of STARZ score with conventional AKI markersWithin the first 7 days of NICU admissionEvaluate sensitivity, specificity, and predictive values of STARZ score versus serum creatinine and urine output

Contacts

Primary ContactMenna Allah Talaat Mahmoud
Mennatalaat2018@gmail.con+201019177153
Backup ContactAsmaa Ahmed Mahmoud
+201007041245

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026