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During the congress, E-Posters will be accessible to all participants on the congress website 24/7, as well as in the E-poster stations in the congress center.
Preparing your E-Poster
Please review the E-Poster format requirements carefully when preparing your E-Poster. Should your E-Poster not meet the mentioned requirements, it may not be displayed as described above.
E-Poster Submission Deadline
Please prepare and upload your E-Poster no later than March 14, 2026 11.59PM CET. After this date, you will no longer be able to prepare and upload your E-poster and it will not be displayed and accessible on the congress website.
Please follow the instructions below to input your abstract title.
Abstract titles should be brief and reflect the content of the abstract.
Neonatal acute kidney injury (AKI) has a high mortality. Diagnosis is commonly based on the neonatal KDIGO (n-KDIGO) criterion, which relies on rising serum creatinine levels. However, neonatal serum creatinine typically declines in the first week of life, creating a mismatch with this standard and potentially missing some AKI cases. Developing more sensitive and accurate diagnostic criteria is crucial because of the long-term implications of neonatal AKI.
This prospective study was undertaken in five tertiary centers in Nigeria, evaluating five neonatal AKI diagnostic frameworks: Modified Neonatal KDIGO AKI, Impaired Kidney Function (IKF), Gupta Definition of AKI, Static eGFR, and a proposed n-KDIGO-plus. We assessed AKI incidence and its impact on hospital stay, in-hospital mortality, and 30-day survival in a cohort of 927 neonates.
A total of 927 neonates were recruited, with a median age of 6.0 hours (IQR: 1.0 to 48 hours), 56.5% male, and 51.0% preterm. Serum creatinine decreased from 1.0 mg/dL to 0.8 mg/dL by day 7 (p<0.001), while urine output increased over 3 days (p<0.001). The nKDIGO criteria identified 29.7% [95% CI: 26.8–32.8] with AKI, while the Gupta criteria showed the highest incidence at 53.1% [95% CI: 49.8–56.4]. Both IKF (22.0% [95% CI: 19.4–24.8]) and S-GFR (19.6% [95% CI: 17.1–22.3]) showed similar incidence rates. Incorporating static GFR (S-GFR) into nKDIGO (nKDIGO-plus) increased AKI incidence from 29.7% to 44.4%. AKI diagnosed using nKDIGO and IKF definitions was associated with significantly worse survival, while the Gupta criteria group had the longest survival duration. Survival analysis showed a statistically significant difference across diagnostic definitions, with S-GFR demonstrating the most significant variation in mean survival over 30days. In the pairwise comparison of all the diagnostic frameworks, S-GFR criteria shows significantly significant difference from all other diagnostic criteria except IKF.
Diagnostic definitions significantly influence neonatal AKI detection and outcomes. n-KDIGO-plus improves AKI detection, particularly in preterm infants, AKI related death and short term worse survival. AKI is associated with prolonged hospitalization and higher mortality, with Gupta criteria being associated with the highest incidence. Optimized diagnosis is critical for improving neonatal AKI prevention and management.
