Affiliation:
1. Department of Internal Medicine University of Utah School of Medicine Salt Lake City Utah USA
2. Department of Biostatistics St. Jude Children's Research Hospital Memphis Tennessee USA
3. Department of Global Pediatric Medicine St. Jude Children's Research Hospital Memphis Tennessee USA
4. Department of Infectious Diseases St. Jude Children's Research Hospital Memphis Tennessee USA
5. Department of Pediatrics University of Tennessee Health Science Center Memphis Tennessee USA
Abstract
AbstractObjectiveTo evaluate the performance of existing sepsis scores for prediction of adverse outcomes in children with cancer admitted to the ICU with suspected sepsis.DesignRetrospective chart review using data available at 1, 6, 12, and 24 h after ICU admission to calculate the Pediatric Risk of Mortality 3 (PRISM‐3), Pediatric Sequential Organ Failure Assessment (pSOFA), Paediatric Logistic Organ Dysfunction 2 (PELOD‐2), and Quick Pediatric Sequential Organ Failure Assessment (qSOFA) scores.Area under the receiver operator characteristic curve (AUROC) was used to evaluate performance for prediction of attributable mortality. Sensitivity analyses included recalculation of scores using worst preceding values for each variable, excluding hematologic parameters, and prediction of alternative outcomes.SettingSt. Jude Children's Research Hospital, a pediatric comprehensive cancer center in the USA.PatientsPediatric patients (<25 years of age) receiving conventional therapy for cancer admitted to the ICU with suspected sepsis between 2013 and 2019.ResultsOf 207 included episodes of suspected sepsis, attributable mortality was 16 (7.7%) and all evaluated sepsis scores performed poorly (maximal AUROC of 0.73 for qSOFA at 1 and 24 h). Sensitivity analyses did not identify an alternative approach that significantly improved prediction.ConclusionsCurrently available sepsis scores perform poorly for prediction of attributable mortality in children with cancer who present to ICU with suspected sepsis. More research is needed to identify reliable predictors of adverse outcomes in this population.
Subject
Cancer Research,Radiology, Nuclear Medicine and imaging,Oncology
Cited by
1 articles.
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