Impact of Optimizing Critical Care Resources in Pediatric Surgery Patients

Background: Prediction scores could help to timely identify patients at risk. More intense care monitoring outside the pediatric intensive unit (PICU) improve outcomes. These concepts of critical without borders be implemented shortly with local resources and patient safety. Predict more, do less in PICUs, more ward. The aim this work was evaluate impact prediction for identification postoperative high risk surgical their need admission.
 Methods: This prospective study carried out on 40 patients. studied were divided into three groups. LR Group: 14 cases ASA = 1, 2 PEWS ≤ 2, pSOFA 7, LqSOFA < 2. IR 10 3, 4 8 -11 HiR 16 3 -5, ≥ 5, 12, American Society Anaesthesiologists (ASA) scoring obtained from each preop. Pediatric Early Warning (PEWS) Scoring immediately postop. Sequential Organ Failure Assessment (pSOFA) admitted PICU day 1 7. Liverpool quick (LqSOFA) all Results: Regarding prognostic performance different predict mortality. For score: it statistically significant AUC .882, cut off values > sensitivity 75%, specificity 88.89%, PPV 42.9% NPV 97%. -For PEW .892, 79%, 80.56%, =30% 96.7%. .931, 14, 85%, 86.11%, =37.5%, 96.9%. All ASA, PEW, as univariate but none multivariate.
 Conclusions: score, score predictor length stay (>21 days). highly Admission PEWs, predictors LOS than 21 days, mortality admission Postop. Decreased platelets increased WBCs, urea, creatinine, AST, RBG HiR. is a simple variable bedside tool identifying septic poor