Publication: Clinical and Laboratory Predictors of Acute Kidney Injury in Childhood Severe Malaria
| creativeworkseries.issn | ISSN 1990-7974 eISSN 1990-7982 | |
| dc.contributor.author | Ibrahim, Olayinka Rasheed | |
| dc.contributor.author | Alao, Michael Abel | |
| dc.contributor.author | Adeboye, Muhammed Nurudeen | |
| dc.date.accessioned | 2025-10-14T09:56:06Z | |
| dc.date.available | 2025-10-14T09:56:06Z | |
| dc.date.issued | 2024 | |
| dc.description | Olayinka Rasheed Ibrahim Department of Paediatrics, Federal Teaching Hospital, Katsina, Nigeria and Department of Paediatrics, University of Ilorin Teaching Hospital, Ilorin, Nigeria. Michael Abel Alao Department of Paediatrics, University College Hospital and University of Ibadan, Ibadan, Nigeria. Muhammed Nurudeen Adeboye Department of Paediatrics, University of Ilorin Teaching Hospital, Ilorin, Nigeria. | |
| dc.description.abstract | Abstract: Introduction: Despite being responsible for the highest burden of global malaria infection, there are limited data on malaria-associated acute kidney injury (MAKI) among Nigerian children for informed decisions. This study described the incidence and predictors of malaria-associated AKI among a cohort of 541 children in northwestern Nigeria. Method: This was a retrospective review of malaria cases from 1st January 2019 to December 31, 2020. We extracted socio-demographics, clinical features, and laboratory parameters from the records of the children with confirmed cases of severe malaria. AKI was defined and staged according to the 2012 Kidney Disease: Improving Global Outcomes (KDIGO) criteria. We carried out bivariate analysis and entered variables that were significant into binary logistic regression in order to determine predictors of AKI. Result: Out of the 541 children, 208 (38.4%) had MAKI. Of the 208, 165 (79.3%) were in stage 1, 26 (12.5%) were in stage 2, and 17 (8.2%) were in stage 3. Clinical features associated with AKI included hypoxemia, respiratory distress, loss of consciousness, prostration, passage of dark-colored urine, and shock (p<0.05). Laboratory parameters associated with AKI included acidosis, leukocytosis, hyponatremia, and hyperkalemia (p<0.05). Factors that independently predicted AKI included the passage of dark-colored urine with an adjusted odds ratio (AOR)-3.853 (95% CI 2.417, 6.143), hyponatremia-AOR 2.346, (95% CI 1.287, 4.277), and hyperkalemia-AOR 3.122, (95% CI 1.031, 9.393). Conclusion: The incidence of malaria-associated AKI is high among children in northwestern Nigeria. The presence of dark-colored urine, hyponatremia, and hyperkalemia strongly predict the risk for AKI. | |
| dc.identifier | https://doi.org/10.60086/jnps1032 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.14572/2684 | |
| dc.language.iso | en_US | |
| dc.publisher | Perinatal Society of Nepal (PESON) | |
| dc.title | Clinical and Laboratory Predictors of Acute Kidney Injury in Childhood Severe Malaria | |
| dc.type | Article | |
| dspace.entity.type | Publication | |
| local.article.type | Original Article | |
| oaire.citation.endPage | 30 | |
| oaire.citation.startPage | 24 | |
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| relation.isJournalOfPublication | 6f9be05c-05a9-4a3e-a5b5-a19a15ab042c |