Evidence map›Paper›PMID 39407040›Full record

ArticleEuropean journal of pediatrics2024

Predictive factors and risk scoring system for acute kidney injury (aki) in sick neonates-a prospective cohort study.

Kagnur Ramya, Kanya Mukhopadhyay, Jogender Kumar

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Article in European journal of pediatrics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Evaluation of risk factors and outcomes of neonates with hypoxic ischemic encephalopathy and acute kidney injury.Journal of perinatology : official journal of the California Perinatal Association · 2025
    Article
4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Kagnur RamyaNeonatal Unit, Department of Pediatrics, Post Graduate Institute of Medical Education And Research (PGIMER), Chandigarh, India. ramya2821992@gmail.com.ORCID http://orcid.org/0009-0009-8365-3835
Kanya MukhopadhyayNeonatal Unit, Department of Pediatrics, Post Graduate Institute of Medical Education And Research (PGIMER), Chandigarh, India.
Jogender KumarNeonatal Unit, Department of Pediatrics, Post Graduate Institute of Medical Education And Research (PGIMER), Chandigarh, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neonatal AKI (acute kidney injury) is an underreported entity in sick neonates associated with significant morbidity and mortality. This was a prospective cohort study, to study the incidence, risk factors, and outcomes of AKI among sick neonates. We included sick inborn neonates admitted at a level III neonatal intensive care unit. Neonates with congenital anomalies and who died within 72 h of life were excluded. AKI was defined and categorized as per KDIGO guidelines. Two hundred and seventy-six neonates were enrolled over 1 year, of which 115 (42%) had AKI. The incidence of AKI was highest n = 27/38 (71%) among extremely preterm (< 28 weeks) infants. On Cox regression analysis, sepsis, invasive ventilation, acidosis, and perinatal asphyxia were significantly associated with AKI with a hazard ratio (95% CI) of 4 (1.21-13.42), 2.3 (1.32-4.03), 1.9 (1.13-3.36), and 1.5 (1.04-2.31), respectively. The risk prediction model, using the 4 predictors mentioned above, had good diagnostic accuracy (area under the curve, 83.6%) with a sensitivity and specificity of 77% and 80%, respectively. Infants with AKI have significantly higher mortality, compared to those who did not have AKI n = 45/115 (39%) vs. n = 5/161 (3%), p < 0.01.

conclusionsNearly half of sick neonates admitted to NICU have AKI, which is maximum in extremely preterm infants. Sepsis, invasive ventilation, acidosis, and perinatal asphyxia have good diagnostic accuracy in identifying neonates likely to develop AKI. WHAT IS KNOWN: • Asphyxia, prematurity, sepsis, shock, hypotension, drugs, congenital heart diseases contribute to neonatal AKI. WHAT IS NEW: • Our simple risk prediction model can be used in sick neonates to identify infants who are at risk for developing AKI.

Indexed as

Acute Kidney InjuryIntensive Care Units, NeonatalFemaleHumansIncidenceInfant, NewbornMaleProspective StudiesRisk AssessmentRisk FactorsAcute kidney injuryKDIGONeonatal AKIRisk factorsRisk predictionROC

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.