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Sepsis associated acute kidney injury in pediatric intensive care unit.
Ozkaya, Pinar Yazici; Taner, Sevgin; Ersayoglu, Irem; Turan, Benay; Yildirim Arslan, Sema; Karapinar, Bülent; Kaplan Bulut, Ipek.
Afiliação
  • Ozkaya PY; Department of Pediatrics, Division of Pediatric Intensive Care, Ege University, School of Medicine, Izmir, Turkey.
  • Taner S; Department of Pediatrics, Division of Pediatric Nephrology, Ege University, School of Medicine, Izmir, Turkey.
  • Ersayoglu I; Department of Pediatrics, Division of Pediatric Intensive Care, Ege University, School of Medicine, Izmir, Turkey.
  • Turan B; Department of Pediatrics, Ege University, School of Medicine, Izmir, Turkey.
  • Yildirim Arslan S; Department of Pediatrics, Division of Pediatric Nephrology, Ege University, School of Medicine, Izmir, Turkey.
  • Karapinar B; Department of Pediatrics, Division of Pediatric Intensive Care, Ege University, School of Medicine, Izmir, Turkey.
  • Kaplan Bulut I; Department of Pediatrics, Division of Pediatric Nephrology, Ege University, School of Medicine, Izmir, Turkey.
Ther Apher Dial ; 27(1): 73-82, 2023 Feb.
Article em En | MEDLINE | ID: mdl-36101487
BACKGROUND: We aimed to compare the acute kidney injury (AKI) incidence in pediatric septic shock patients according to the three different classifications. METHODS: We analyzed retrospectively 52 patients with severe sepsis between January 2019 and December 2019. RESULTS: While 21 patients have been diagnosed with SA-AKI according to the pRIFLE criteria, 20 children have been diagnosed according to the AKIN criteria, and 21 children have been diagnosed according to the KDIGO criteria. Older age, lower platelet count were determined as independently risk factor for SA-AKI. Older age and higher PRISM score were associated with mortality. According to Canonical correlation coefficients, pRIFLE is the most successful classification to distinguish AKI state. The canonical correlation coefficients for pRIFLE, KDIGO, and AKIN were 0.817, 0.648, and 0.615, respectively. CONCLUSION: Although AKI incidence was similar between the three classifications, pRIFLE was the most successful classification to distinguish AKI state.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Sepse / Injúria Renal Aguda Tipo de estudo: Risk_factors_studies Limite: Child / Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Sepse / Injúria Renal Aguda Tipo de estudo: Risk_factors_studies Limite: Child / Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article