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Prognostic Factors of Outcome in Pediatric Oncology Patients with a Pulmonary Complication

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A6326 - Prognostic Factors of Outcome in Pediatric Oncology Patients with a Pulmonary Complication
Author Block: K. Kim, H. Lee, E. Yang, H. Kim, Y. Chun, J. Yoon, H. Kim, J. Kim; Department of Pediatrics, College of Medicine, The Catholic University of Korea, Seoul, Korea, Republic of.
Introduction: The early prediction of prognosis in the intensive care unit (ICU) is very important. Pediatric oncology patients with pulmonary complications have high risks for mortality. We aimed to find the clinical factors related with mortality and to determine the usefulness of the Sequential Organ Failure Assessment (SOFA) score and Pediatric Logistic Organ Dysfunction (PELOD) score in pediatric oncology patients with pulmonary complications who needed intensive care.
Methods: We retrospectively reviewed the medical records of pediatric oncology patients admitted to the ICU of a tertiary hospital in Korea between April, 2009 and March, 2017. Patients admitted to the ICU for perioperative or non-pulmonary complications were excluded.
Results: One hundred and ten pediatric oncology patients were admitted to the ICU for pulmonary complications. Patients’ median age was 13 (IQR, 8-16) years, and 62 (56.3%) were boys. The median duration of ICU hospitalization was 8 (IQR, 4.25-16) days, and 45 patients (40.9%) needed mechanical ventilation. The mortality rate was 59.1% (65/110 patients). The factors related to increased mortality were the fraction of inspired oxygen, blood pH, base excess level, absolute neutrophil count, hemoglobin level, hematocrit level, blood glucose level, aspartate aminotransferase level, total bilirubin level, prothrombin time and D-dimer level. SOFA scores (P=0.00) and PELOD scores (P=0.00) were correlated with mortality.
Conclusion: We can use the clinical factors measured when the patients are admitted to the ICU to estimate their clinical outcomes. Additionally, the SOFA scores and PELOD scores obtained on ICU admission were useful for the early prediction of mortality.
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