<p><strong>Objective: </strong>Large electronic health record (EHR) datasets are increasingly used to facilitate research on growth, but measurement and recording errors can lead to biased results. We developed and tested an automated method for identifying implausible values in pediatric EHR growth data.</p>

<p><strong>Materials and Methods: </strong>Using deidentified data from 46 primary care sites, we developed an algorithm to identify weight and height values that should be excluded from analysis, including implausible values and values that were recorded repeatedly without remeasurement. The foundation of the algorithm is a comparison of each measurement, expressed as a standard deviation score, with a weighted moving average of a child's other measurements. We evaluated the performance of the algorithm by (1) comparing its results with the judgment of physician reviewers for a stratified random selection of 400 measurements and (2) evaluating its accuracy in a dataset with simulated errors.</p>

<p><strong>Results: </strong>Of 2 000 595 growth measurements from 280 610 patients 1 to 21 years old, 3.8% of weight and 4.5% of height values were identified as implausible or excluded for other reasons. The proportion excluded varied widely by primary care site. The automated method had a sensitivity of 97% (95% confidence interval [CI], 94-99%) and a specificity of 90% (95% CI, 85-94%) for identifying implausible values compared to physician judgment, and identified 95% (weight) and 98% (height) of simulated errors.</p>

<p><strong>Discussion and Conclusion: </strong>This automated, flexible, and validated method for preparing large datasets will facilitate the use of pediatric EHR growth datasets for research.</p>

<p><strong>BACKGROUND: </strong>Candidemia causes significant morbidity and mortality among children. Removal of a central venous catheter (CVC) is often recommended for adults with candidemia to reduce persistent and metastatic infection. Pediatric-specific data on the impact of CVC retention are limited.</p>

<p><strong>METHODS: </strong>A retrospective cohort study of inpatients &lt;19 years with candidemia at the Children's Hospital of Philadelphia between 2000 and 2012 was performed. The final cohort included patients that had a CVC in place at time of blood culture and retained their CVC at least 1 day beyond the blood culture being positive. A structured data collection instrument was used to retrieve patient data. A discrete time failure model, adjusting for age and the complexity of clinical care before onset of candidemia, was used to assess the association of CVC retention and 30-day all-cause mortality.</p>

<p><strong>RESULTS: </strong>Two hundred eighty-five patients with candidemia and a CVC in place at the time of blood culture were identified. Among these 285 patients, 30 (10%) died within 30 days. Central venous catheter retention was associated with a significant increased risk of death on a given day (odds ratio, 2.50; 95% confidence interval, 1.06-5.91).</p>

<p><strong>CONCLUSIONS: </strong>Retention of a CVC was associated with an increased risk of death after adjusting for age and complexity of care at candidemia onset. Although there is likely persistence of unmeasured confounding, given the strong association between catheter retention and death, our data suggest that early CVC removal should be strongly considered.</p>

<p><strong>BACKGROUND: </strong>Outpatient respiratory tract infections are the most common reason for antibiotic prescribing to children. Although prior studies suggest that antibiotic overuse occurs, patient-specific data or data exploring the variability and determinants of variability across practices and practitioners is lacking.</p>

<p><strong>METHODS: </strong>This study was conducted from a retrospective cohort of encounters to 25 diverse pediatric practices with 222 clinicians, from January 1 to December 31, 2009. Diagnoses, medications, comorbid conditions, antibiotic allergy, and demographic data were obtained from a shared electronic health record and validated by manual review. Practice-specific antibiotic prescription and acute respiratory tract infection diagnosis rates were calculated to assess across-practice differences after adjusting for patient demographics and clustering of encounters within clinicians.</p>

<p><strong>RESULTS: </strong>A total of 102 102 (28%) of 399 793 acute visits by 208 015 patients resulted in antibiotic prescriptions. After adjusting for patient age, sex, race, and insurance type, and excluding encounters by patients with chronic conditions, antibiotic prescribing by practice ranged from 18% to 36% of acute visits, and the proportion of antibiotic prescriptions that were broad-spectrum ranged from 15% to 58% across practices, despite additional exclusion of patients with antibiotic allergies or prior antibiotic use. Diagnosis of (Dx) and broad-spectrum antibiotic prescribing (Broad) for acute otitis media (Dx: 8%-20%; Broad: 18%-60%), sinusitis (Dx: 0.5%-9%; Broad: 12%-78%), Streptococcal pharyngitis (Dx: 1.8%-6.4%; Broad: 2%-30%), and pneumonia (Dx: 0.4%-2%; Broad: 1%-70%) also varied by practice (P &lt; 0.001 for all comparisons).</p>

<p><strong>CONCLUSIONS: </strong>Antibiotic prescribing for common pediatric infections varied substantially across practices. This variability could not be explained by patient-specific factors. These data suggest the need for and provide high-impact targets for outpatient antimicrobial stewardship interventions.</p>