E. Bjornstad, W. Muronya, Z. Smith, Manly Kamija, R. Evans, Amy K. Mottl, Y. Golightly, K. Gibson, A. Charles, Emily W. Gower
{"title":"Saliva urea nitrogen dipsticks to predict acute kidney injury in Malawian trauma patients","authors":"E. Bjornstad, W. Muronya, Z. Smith, Manly Kamija, R. Evans, Amy K. Mottl, Y. Golightly, K. Gibson, A. Charles, Emily W. Gower","doi":"10.21804/26-1-5462","DOIUrl":null,"url":null,"abstract":"Background: Many low-resource settings have limited access to serum creatinine tests necessary for kidney disease identification. Among Malawian patients who are hospitalized after trauma, we evaluated the use of point-of-care saliva urea nitrogen (SUN) dipsticks to predict acute kidney injury (AKI). Methods: In a nested prospective cohort study, we enrolled hospitalized acute trauma patients aged ≥6 months to evaluate AKI (defined by KDIGO criteria) and the test characteristics of SUN to predict AKI.","PeriodicalId":32934,"journal":{"name":"African Journal of Nephrology","volume":"1 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"African Journal of Nephrology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.21804/26-1-5462","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Background: Many low-resource settings have limited access to serum creatinine tests necessary for kidney disease identification. Among Malawian patients who are hospitalized after trauma, we evaluated the use of point-of-care saliva urea nitrogen (SUN) dipsticks to predict acute kidney injury (AKI). Methods: In a nested prospective cohort study, we enrolled hospitalized acute trauma patients aged ≥6 months to evaluate AKI (defined by KDIGO criteria) and the test characteristics of SUN to predict AKI.