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dc.contributor.authorMarin, Terri
dc.contributor.authorWilliams, Bryan
dc.contributor.authorBhatia, Jatinda
dc.contributor.authorSharma, Ashok
dc.contributor.authorMundy, Cynthia
dc.contributor.authorCockfield, Christy
dc.date.accessioned2019-04-01T18:48:19Z
dc.date.available2019-04-01T18:48:19Z
dc.identifier.urihttp://hdl.handle.net/10675.2/622250
dc.descriptionAcute kidney injury (AKI) occurs in approximately 40% of preterm infants born ≤ 34 weeks’ gestational age (GA), many of whom become hypotensive. This condition can injure the kidney and is both difficult to detect and treat. The immature kidney only receives 3-4% of total cardiac output under optimal conditions (vs. 20% in term infants); hence, mild reductions in perfusion secondary to hypotension may quickly result in renal ischemia. Once AKI develops, mortality rates increase to >50%. Current diagnostic criteria (serial serum creatinine measures) does not detect early, subclinical injury, as up to 50% of renal function is lost by the time this method detects AKI. We sought to determine the feasibility of non-invasive physiologic biomarkers to detect early, subclinical AKI in premature infants ≤ 34 weeks’ gestation during the first 14 days of life (DOL). We hypothesized that an inverse relationship exists between renal hypoxia and urinary biomarkers when ischemic renal injury is present.en_US
dc.language.isoen_USen_US
dc.publisherAugusta Universityen_US
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/us/*
dc.subjectAcute kidney injuryen_US
dc.subjectpremature infantsen_US
dc.subjectnon-invasive physiologic biomarkersen_US
dc.subjectRenal oxygenationen_US
dc.subjecturinary biomarker levelsen_US
dc.subjectdataen_US
dc.subjectdata managementen_US
dc.subjectresearch data managementen_US
dc.subjectresearch data management symposiumen_US
dc.titleNon-invasive Biomarkers to Detect Acute Kidney Injury in Premature Infantsen_US
dc.typePresentationen_US
dc.contributor.departmentCollege of Nursingen_US
dc.contributor.departmentDepartment of Pediatrics: Neonatology
dc.contributor.departmentDepartment of Population Health Science
dc.contributor.departmentDepartment of Obstetrics and Gynecology
dc.contributor.departmentChildren's Hospital of Georgia Neonatal Intensive Care Unit (NICU)
dc.conference.dateMarch 19, 2019
dc.conference.nameAugusta University Research Data Management Symposium
dc.conference.hostRobert B. Greenblatt, M.D. Library
dc.conference.locationAugusta, Georgia, United States
refterms.dateFOA2019-04-01T18:48:19Z


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