ArticlePediatric research2022
Neonatal acute kidney injury risk stratification score: STARZ study.
Article in Pediatric research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 21 papers, 1 of them a synthesis that pooled it.
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Who cites it
21 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 citations in OpenAlex.
- Risk factors for acute kidney injury in pediatric intensive care units: a systematic review and meta-analysis.BMC pediatrics · 2026Pooled it
- Time to diagnosis of acute kidney injury and its predictors among outborn neonates in India: a competing-risk analysis of tele-ICU network data (2022-2024).The Lancet regional health. Southeast Asia · 2026Article
- STARZ Scoring in Very Low Birth Weight (VLBW) neonates: validation and risk-stratification for neonatal acute kidney injury.Pediatric research · 2026Article
- Validation of STARZ scoring in very low birth weight (VLBW) neonates in the United States.Pediatric research · 2026Article
- Efficacy of the STARZ stratification score in determining the risk of acute kidney injury in critically ill neonates.Pediatric nephrology (Berlin, Germany) · 2026Article
- External validation of the STARZ score highlights structural limits of neonatal AKI prediction models.Pediatric nephrology (Berlin, Germany) · 2026Article
- Interpretable machine learning for the early prediction of acute kidney injury in preterm infants in the neonatal intensive care unit.Renal failure · 2025Article
- Development and validation of a nomogram for predicting neonatal acute kidney injury in very low birth weight infants.Maternal health, neonatology and perinatology · 2025Article
- Advances in pediatric acute kidney injury detection and prediction: biomarkers and artificial intelligence.World journal of pediatrics : WJP · 2025Article
- ADVANCE: a biomedical informatics approach to investigate acute kidney injury in infants.Pediatric research · 2025Article
- Predictive factors and risk scoring system for acute kidney injury (aki) in sick neonates-a prospective cohort study.European journal of pediatrics · 2024Article
- Incidence of acute kidney injury and its predictors among neonates admitted at neonatal intensive care unit of, Northwest Ethiopia comprehensive specialized hospitals, 2023.BMC pediatrics · 2024Article
- Acute kidney injury during the first week of life: time for an update?Pediatric nephrology (Berlin, Germany) · 2024Article
- Artificial intelligence in early detection and prediction of pediatric/neonatal acute kidney injury: current status and future directions.Pediatric nephrology (Berlin, Germany) · 2024Review
- Incidence and predictors of acute kidney injury among asphyxiated neonates in comprehensive specialized hospitals, northwest Ethiopia, 2023.Scientific reports · 2024Article
- Use of furosemide in preterm neonates with acute kidney injury is associated with increased mortality: results from the TINKER registry.Pediatric nephrology (Berlin, Germany) · 2024Article
- Artificial intelligence: a new field of knowledge for nephrologists?Clinical kidney journal · 2023Article
- Management of Acute Kidney Injury in Critically Ill Children.Indian journal of pediatrics · 2023Review
- STARZ Neonatal AKI Risk Stratification Cut-off Scores for Severe AKI and Need for Dialysis in Neonates.Kidney international reports · 2022Article
- Validation of the STARZ neonatal acute kidney injury risk stratification score.Pediatric nephrology (Berlin, Germany) · 2022Article
Corrections and comments
- Erratum issued
Authors and funding
19 authors at 13 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundNeonates admitted in the neonatal intensive care unit are vulnerable to acute kidney injury leading to worse outcomes. It is important to identify "at-risk" neonates for early preventive measures.
methodsThe study was a multicenter, national, prospective cohort study done in 11 centers in India. A multivariable logistic regression technique with step-wise backward elimination method was used, and a "Risk Prediction Scoring" was devised [the STARZ score].
resultsThe neonates with admission in the NICU within <25.5 h of birth, requirement of positive pressure ventilation in the delivery room, <28 weeks gestational age, sepsis, significant cardiac disease, urine output <1.32 ml/kg/h or serum creatinine ≥0.98 mg/dl during the first 12 h post admission, use of nephrotoxic drugs, use of furosemide, or use of inotrope had a significantly higher risk of AKI at 7 days post admission in the multivariate logistic regression model. This scoring model had a sensitivity of 92.8%, specificity of 87.4% positive predictive value of 80.5%, negative predictive value of 95.6%, and accuracy of 89.4%.
conclusionsThe STARZ neonatal score serves to rapidly and quantitatively determine the risk of AKI in neonates admitted to the neonatal intensive care unit. IMPACT: The STARZ neonatal score serves to rapidly and quantitatively determine the risk of AKI in neonates admitted to the neonatal intensive care unit. These neonates with a higher risk stratification score need intense monitoring and daily kidney function assessment. With this intensification of research in the field of AKI risk stratification prediction, there is hope that we will be able to decrease morbidity and mortality associated with AKI in this population.
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