Discrepancies in Radiograph Interpretation Between Pediatric Radiologists and Pediatric Intensivists in the Pediatric or Neonatal Intensive Care Unit.

BACKGROUND: In pediatric intensive care units (PICUs) and neonatal intensive care units (NICUs), patient management decisions are sometimes based on preliminary interpretations of radiographs by pediatric intensivists (PIs) before a formal interpretation by a pediatric radiologist (PR). OBJECTIVE: To quantify and classify discrepancies in radiographic interpretation between PRs and PIs in the PICU and NICU. MATERIALS AND METHODS: This institutional review board-approved multi-institutional prospective study included three PRs and PIs at two PICUs and three NICUs. Interpretations of chest and abdominal radiographs by PIs and PRs were recorded on online forms and compared. Discrepancies in interpretations were classified as "miss," "misinterpretation," or "overcall." The discrepancies were also categorized as "actionable" or "nonactionable" based on extrapolation of the ACR actionable reporting work group's list of actionable findings. RESULTS: In 960 radiographic interpretations, the total, nonactionable, and actionable discrepancy rates between PRs and PIs were 34.7%, 26.8%, and 7.9%, respectively. The most common actionable discrepancies were line or tube positions and identification and interpretation of parenchymal opacities in the lungs. Identification of air leaks in the PICU and differentiation of normal from abnormal bowel gas patterns in the NICU followed in frequency. Air leaks accounted for 1% of total discrepancies and 11% of actionable discrepancies. Most discrepancies were nonactionable and included retrocardiac atelectasis and mischaracterization of neonatal lung disease in the PICU and NICU, respectively. CONCLUSION: Although the total discrepancy rate was high, most discrepancies were nonactionable. Actionable discrepancies were predominantly due to line and tube position, which should be an area of focused education.

Acute kidney injury is an independent risk factor for pediatric intensive care unit mortality, longer length of stay and prolonged mechanical ventilation in critically ill children: a two-center retrospective cohort study.

INTRODUCTION: In adults, small (< 50%) serum creatinine (SCr) increases predict mortality. It is unclear whether different baseline serum creatinine (bSCr) estimation methods affect findings of acute kidney injury (AKI)-outcome associations. We characterized pediatric AKI, evaluated the effect of bSCr estimation approaches on AKI-outcome associations and evaluated the use of small SCr increases to predict AKI development. METHODS: We conducted a retrospective cohort database study of children (excluding postoperative cardiac or renal transplant patients) admitted to two pediatric intensive care units (PICUs) for at least one night in Montreal, QC, Canada. The AKI definition was based on the Acute Kidney Injury Network staging system, excluding the requirement of SCr increase within 48 hours, which was impossible to evaluate on the basis of our data set. We estimated bSCr two ways: (1) the lowest SCr level in the three months before admission or the average age- and gender-based norms (the standard method) or (2) by using average norms in all patients. Outcomes were PICU mortality and length of stay as well as required mechanical ventilation. We used multiple logistic regression analysis to evaluate AKI risk factors and the association between AKI and mortality. We used multiple linear regression analysis to evaluate the effect of AKI on other outcomes. We calculated diagnostic characteristics for early SCr increase (< 50%) to predict AKI development. RESULTS: Of 2,106 admissions (mean age ± SD = 5.0 ± 5.5 years; 47% female), 377 patients (17.9%) developed AKI (using the standard bSCr method) during PICU admission. Higher Pediatric Risk of Mortality score, required mechanical ventilation, documented infection and having a bSCr measurement were independent predictors of AKI development. AKI was associated with increased mortality (adjusted odds ratio (OR) = 3.7, 95% confidence interval (95% CI) = 2.1 to 6.4, using the standard bSCr method; OR = 4.5, 95% CI = 2.6 to 7.9, using normative bSCr values in all patients). AKI was independently associated with longer PICU stay and required mechanical ventilation. In children with no admission AKI, the initial percentage SCr increase predicted AKI development (area under the curve = 0.67, 95% CI = 0.60 to 0.74). CONCLUSIONS: AKI is associated with increased mortality and morbidity in critically ill children, regardless of the bSCr used. Paying attention to small early SCr increases may contribute to early AKI diagnosis in conjunction with other new AKI biomarkers.