Magnitude and associated factors of acute kidney injury among preterm neonates admitted to public hospitals in Bahir Dar city, Ethiopia 2022: cross-sectional study

Abstract Background Acute kidney injury is an independent risk factor for morbidity and mortality in critically ill neonates. Although the magnitude of preterm neonates is high and a major risk for acute kidney injury, there is a paucity of information regarding the magnitude and associated factors...

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Main Authors: Sayih Mehari (Author), Silenat Muluken (Author), Asmare Getie (Author), Amare Belachew (Author)
Format: Book
Published: BMC, 2023-06-01T00:00:00Z.
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042 |a dc 
100 1 0 |a Sayih Mehari  |e author 
700 1 0 |a Silenat Muluken  |e author 
700 1 0 |a Asmare Getie  |e author 
700 1 0 |a Amare Belachew  |e author 
245 0 0 |a Magnitude and associated factors of acute kidney injury among preterm neonates admitted to public hospitals in Bahir Dar city, Ethiopia 2022: cross-sectional study 
260 |b BMC,   |c 2023-06-01T00:00:00Z. 
500 |a 10.1186/s12887-023-04147-2 
500 |a 1471-2431 
520 |a Abstract Background Acute kidney injury is an independent risk factor for morbidity and mortality in critically ill neonates. Although the magnitude of preterm neonates is high and a major risk for acute kidney injury, there is a paucity of information regarding the magnitude and associated factors of acute kidney injury among preterm neonates in the study area. Therefore, the aim of this study was to assess magnitude and associated factors of acute kidney injury among preterm neonates admitted to public hospitals in Bahir Dar city, Ethiopia, 2022. Methods An institutional-based cross-sectional study was conducted among 423 preterm neonates admitted to public hospitals in Bahir Dar city from May 27 to June 27, 2022. Data were entered into Epi Data Version 4.6.0.2 transferred to Statistical Package and Service Solution version 26 for analysis. Descriptive and inferential statistics were employed. A binary logistic regression analysis was done to identify factors associated with acute kidney injury. Model fitness was checked through Hosmer-Lemeshow goodness of fit test. Variables with a p-value < 0.05 were considered as statistically significant in the multiple binary logistic regression analysis. Result Out of 423 eligible, 416 neonatal charts were reviewed with a response rate of 98.3%.This study revealed that the magnitude of acute kidney injury was 18.27% (95% CI = 15-22). Very low birth weight (AOR = 3.26; 95% CI = 1.18-9.05), perinatal asphyxia (AOR = 2.84; 95%CI = 1.55-5.19), dehydration (AOR = 2.30; 95%CI = 1.29-4.09), chest compression (AOR = 3.79; 95%CI = 1.97-7.13), and pregnancy-induced hypertension (AOR = 2.17; 95%CI = 1.20-3.93) were factors significantly associated with the development of neonatal acute kidney injury. Conclusion Almost one in five admitted preterm neonates developed acute kidney injury. The odds of acute kidney injury were high among neonates who were very low birth weight, perinataly asphyxiated, dehydrated, recipients of chest compression, and born to pregnancy-induced hypertensive mothers. Therefore, clinicians have to be extremely cautious and actively monitor renal function in those neonatal population in order to detect and treat acute kidney injury as early as possible. 
546 |a EN 
690 |a Acute kidney injury 
690 |a Preterm 
690 |a Magnitude 
690 |a Bahir Dar 
690 |a Ethiopia 
690 |a Pediatrics 
690 |a RJ1-570 
655 7 |a article  |2 local 
786 0 |n BMC Pediatrics, Vol 23, Iss 1, Pp 1-8 (2023) 
787 0 |n https://doi.org/10.1186/s12887-023-04147-2 
787 0 |n https://doaj.org/toc/1471-2431 
856 4 1 |u https://doaj.org/article/273fb2337ebf4a14808d019b5110726f  |z Connect to this object online.