Computed Tomography Scan Utilization in Pediatric Trauma: Impact on Length of Stay and Incidence of False Positive Findings.

INTRODUCTION: Computerized tomography (CT) scans are the mainstay of diagnostic imaging in blunt trauma. Particularly in pediatric trauma, utilization of CT scans has increased exponentially in recent years. Concerns regarding radiation exposure to this vulnerable population have resulted in increased scrutiny of practice. What is not known is if liberal imaging practices decrease length of stay by eliminating the need for clinical observation, and the impact of false-positive rates from liberal use of CT scanning on clinical outcomes. METHODS: Medical records from a nonaccredited pediatric trauma center with a practice of liberal imaging were reviewed over a 2-year period. Total CT scans obtained were recorded, in addition to length of stay, age, and Injury Severity Score (ISS). Rates of clinically significant imaging findings were recorded, as were false positive findings and complications of imaging. RESULTS: Out of 735 children, 58% underwent CT scanning, and if scanned, received an average of 2.4 studies. Clinically significant findings were documented in 20% of head CTs, 2% of cervical spine CTs, 3.5% of chest CTs, 24% of facial CTs, and 14.7% of abdominal CTs. False-positive findings were found in 1.5% of head CTs, 1.2% of cervical spine CTs, 2.4% of chest CTs, and 2.5% of abdominal CTs. Liberal CT scanning was not associated with decreased length of stay. In contrast, obtaining CT scans on more than 4 body regions was independently predictive of longer length of stay, independent of ISS. CONCLUSIONS: False-positive rates of CT scans for trauma were low in this cohort. However, when scanning the cervical spine or the chest, for every 2 clinically significant findings obtained, there was at least one false positive result, calling into question the practice of liberal imaging of these regions. Liberal utilization of CT scan did not allow for more rapid discharge home, and for more than 4 CTs was independently associated with longer hospital stay.

Predicting Postoperative Complications after Acute Care Surgery: How Accurate Is the ACS NSQIP Surgical Risk Calculator?

The ACS NSQIP Surgical Risk Calculator (SRC) is an evidence-based clinical tool commonly used for evaluating postoperative risk. The goal of this study was to validate SRC-predicted complications by comparing them with observed outcomes in the acute care surgical setting. In this study, pre- and postoperative data from 1693 acute care surgeries (hernia repair, enterolysis, intestinal incision/excision and enterectomy, gastrectomy, debridement, colectomy, appendectomy, cholecystectomy, gastrorrhaphy, and incision and drainage of soft tissue, breast abscesses, and removal of foreign bodies) performed at a Level I trauma center over a five-year time period were abstracted. Predictions for any and serious complications were based on SRC were compared with observed outcomes using various measures of diagnostic. When evaluated as one group, the SRC had good discriminative power for predicting any and serious complications after acute care surgeries (Area Under the Curve (AUC) 0.79, 0.81). In addition, the SRC met Brier score requirements for an informative model overall. However, the predictive accuracy of the SRC varied for various procedures within the acute care patient population. For serious complications, the diagnostic measures ranged from an AUC of 0.61 and negative likelihood ratio of 0.716 for incision & drainage soft tissue to AUC of 0.91 and negative likelihood ratio of 0.064 for gastrorrhaphy. Length of stay was significantly underestimated by the SRC overall (8.56 days, P < 0.01) and for individual procedures. The SRC performs well at predicting complications after acute care surgeries overall; however, there is great variability in performance between procedure types. Further refinements in risk stratification may improve SRC predictions.