Identifying the Patient at Risk for Acute Kidney Injury: Pediatric Sepsis Biomarker Risk Model Study
Gien and Soranno discuss the study by Stanski and colleagues on the Pediatric Sepsis Biomarker Risk Model to determine if this validated multibiomarker stratification tool for estimating the baseline risk of mortality among children with septic shock could predict the development of sepsis-associate...
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Veröffentlicht in: | American journal of respiratory and critical care medicine 2020-04, Vol.201 (7), p.764-766 |
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Format: | Artikel |
Sprache: | eng |
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Online-Zugang: | Volltext |
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Zusammenfassung: | Gien and Soranno discuss the study by Stanski and colleagues on the Pediatric Sepsis Biomarker Risk Model to determine if this validated multibiomarker stratification tool for estimating the baseline risk of mortality among children with septic shock could predict the development of sepsis-associated severe acute kidney injury (AKI) on Day 3 after admission. AKI contributes to adverse outcomes in hospitalized patients across the lifespan, including increased morbidity and mortality, prolonged hospital stays, and higher risk of developing chronic kidney disease. Identification of patients at risk for the development of AKI would enable closer evaluation of kidney function and implementation of strategies to ideally prevent the development of AKI before onset or lessen its duration and severity. |
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ISSN: | 1073-449X 1535-4970 |
DOI: | 10.1164/rccm.202001-0216ED |