RESUMO
Background. Outcomes that should be measured during diabetic ketoacidosis management is crucial. However, data associated to this was limited in Ethiopia. Methods. A cross-sectional study was conducted among children with diabetic keto acidosis between 2016 and 2021.Data were stored in Epi-data version 4.6 and exported into STATA 14.0 software for analysis. The association between independent variables and length of hospital stay was assessed using binary logistic regression. Finally, variables with P-value <.05 were considered statistically significant. Result. Median length of hospital stay was 8 ± 6.2 days. Majority of patients (97.5%) improved and discharged. Factors that affected longer hospital stay were Residence(aOR = 4.31;95% CI = 1.25-14.80),family history of diabetes (aOR = 0.12; 95% CI = 0.02-0.64), glycemia at admission (aOR = 1.01; 95% CI = 1.00-1.02),insulin skipping (aOR = 0.08; 95% CI = 0.01-0.98), abdominal pain (aOR = 4.28; 95% CI = 1.11-15.52) and time in which the patient get out of diabetic ketoacidosis(aOR = 6.39; 95% CI = 1.09-37.50). Conclusion. Majority of patients showed improvement and discharged to homes after a long hospital stay. Majority of patients resolved from diabetic ketoacidosis between 24 and 48 hours.
RESUMO
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.
