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Accuracy of diagnosing acute kidney injury by assessing urine output within the first week of life in extremely preterm infants.

Authors :
Hirabayashi M
Yamanouchi S
Akagawa S
Akagawa Y
Kino J
Fujishiro S
Kimata T
Mine K
Tsuji S
Ohashi A
Kaneko K
Source :
Clinical and experimental nephrology [Clin Exp Nephrol] 2022 Jul; Vol. 26 (7), pp. 709-716. Date of Electronic Publication: 2022 Mar 10.
Publication Year :
2022

Abstract

Background: Neonatal acute kidney injury (AKI) is associated with increased mortality and is often assessed with the neonatal modified Kidney Disease: improving Global Outcomes (KDIGO) classification, which uses changes in serum creatinine levels. However, because this classification has many drawbacks, a novel method, the neonatal Risk, Injury, Failure, Loss, and End-Stage Kidney Disease (nRIFLE) classification for diagnosing neonatal AKI according to urine output (UO), was recently proposed. To date, no data on the incidence of AKI according to nRIFLE are available for extremely preterm infants (born at gestational age less than 28 weeks). This study was conducted to clarify the association between incidence of AKI and in-hospital mortality in extremely preterm infants.<br />Methods: Of 171 extremely preterm infants hospitalized from 2006 to 2020, 84 in whom indwelling bladder catheters were placed for UO measurements within 24 h of life were included. The incidence of AKI was assessed using the nRIFLE classification. In-hospital mortality was compared between patients with AKI and those without it.<br />Results: The incidence of AKI during the first week of life was 56% and that of in-hospital mortality was significantly higher in patients with AKI (25.5%) than in those without it (2.8%). The odds ratio was 12.3 with 95% confidence interval ranging from 1.5 to 100.0.<br />Conclusion: The incidence of AKI according to nRIFLE was higher than reported in most previous studies using the neonatal modified KDIGO classification, suggesting that assessment by nRIFLE criteria using UO may improve diagnostic accuracy of AKI in extremely preterm infants.<br /> (© 2022. The Author(s), under exclusive licence to The Japanese Society of Nephrology.)

Details

Language :
English
ISSN :
1437-7799
Volume :
26
Issue :
7
Database :
MEDLINE
Journal :
Clinical and experimental nephrology
Publication Type :
Academic Journal
Accession number :
35267118
Full Text :
https://doi.org/10.1007/s10157-022-02206-z