Association of clinical practice guidelines with emergency department management of febrile infants ≤56 days of age.

2015

358-65

06/2015

1553-5606

BACKGROUND: Differences among febrile infant institutional clinical practice guidelines (CPGs) may contribute to practice variation and increased healthcare costs.

OBJECTIVE: Determine the association between pediatric emergency department (ED) CPGs and laboratory testing, hospitalization, ceftriaxone use, and costs in febrile infants.

DESIGN: Retrospective cross-sectional study in 2013.

SETTING: Thirty-three hospitals in the Pediatric Health Information System.

PATIENTS: Infants aged ≤56 days with a diagnosis of fever.

EXPOSURES: The presence and content of ED-based febrile infant CPGs assessed by electronic survey.

MEASUREMENTS: Using generalized estimating equations, we evaluated the association between CPG recommendations and rates of urine, blood, cerebrospinal fluid (CSF) testing, hospitalization, and ceftriaxone use at ED discharge in 2 age groups: ≤28 days and 29 to 56 days. We also assessed CPG impact on healthcare costs.

RESULTS: We included 9377 ED visits; 21 of 33 EDs (63.6%) had a CPG. For neonates ≤28 days, CPG recommendations did not vary and were not associated with differences in testing, hospitalization, or costs. Among infants 29 to 56 days, CPG recommendations for CSF testing and ceftriaxone use varied. CSF testing occurred less often at EDs with CPGs recommending limited testing compared to hospitals without CPGs (adjusted odds ratio: 0.5, 95% confidence interval: 0.3-0.8). Ceftriaxone use at ED discharge varied significantly based on CPG recommendations. Costs were higher for admitted and discharged infants 29 to 56 days old at hospitals with CPGs.

CONCLUSIONS: CPG recommendations for febrile infants 29 to 56 days old vary across institutions for CSF testing and ceftriaxone use, correlating with observed practice variation. CPGs were not associated with lower healthcare costs.

10.1002/jhm.2329

J Hosp Med

25684689

Empiric Antibiotic Use and Susceptibility in Infants With Bacterial Infections: A Multicenter Retrospective Cohort Study.

2017

2017 Jul 20

2154-1663

<p><strong>OBJECTIVES: </strong>To assess hospital differences in empirical antibiotic use, bacterial epidemiology, and antimicrobial susceptibility for common antibiotic regimens among young infants with urinary tract infection (UTI), bacteremia, or bacterial meningitis.</p>

<p><strong>METHODS: </strong>We reviewed medical records from infants &lt;90 days old presenting to 8 US children's hospitals with UTI, bacteremia, or meningitis. We used the Pediatric Health Information System database to identify cases and empirical antibiotic use and medical record review to determine infection, pathogen, and antimicrobial susceptibility patterns. We compared hospital-level differences in antimicrobial use, pathogen, infection site, and antimicrobial susceptibility.</p>

<p><strong>RESULTS: </strong>We identified 470 infants with bacterial infections: 362 (77%) with UTI alone and 108 (23%) with meningitis or bacteremia. Infection type did not differ across hospitals (P = .85). Empirical antibiotic use varied across hospitals (P &lt; .01), although antimicrobial susceptibility patterns for common empirical regimens were similar. A third-generation cephalosporin would have empirically treated 90% of all ages, 89% in 7- to 28-day-olds, and 91% in 29- to 89-day-olds. The addition of ampicillin would have improved coverage in only 4 cases of bacteremia and meningitis. Ampicillin plus gentamicin would have treated 95%, 89%, and 97% in these age groups, respectively.</p>

<p><strong>CONCLUSIONS: </strong>Empirical antibiotic use differed across regionally diverse US children's hospitals in infants &lt;90 days old with UTI, bacteremia, or meningitis. Antimicrobial susceptibility to common antibiotic regimens was similar across hospitals, and adding ampicillin to a third-generation cephalosporin minimally improves coverage. Our findings support incorporating empirical antibiotic recommendations into national guidelines for infants with suspected bacterial infection.</p>

10.1542/hpeds.2016-0162

Hosp Pediatr

28729240

Admission chest radiographs predict illness severity for children hospitalized with pneumonia.

2014

559-64

2014 Sep

1553-5606

<p><strong>OBJECTIVE: </strong>To assess whether radiographic findings predict outcomes among children hospitalized with pneumonia.</p>

<p><strong>METHODS: </strong>This retrospective study included children &lt;18 years of age from 4 children's hospitals admitted in 2010 with clinical and radiographic evidence of pneumonia. Admission radiographs were categorized as single lobar, unilateral or bilateral multilobar, or interstitial. Pleural effusions were classified as absent, small, or moderate/large. Propensity scoring was used to adjust for potential confounders, including need for supplemental oxygen, intensive care, and mechanical ventilation, as well as hospital length of stay and duration of supplemental oxygen.</p>

<p><strong>RESULTS: </strong>There were 406 children (median age, 3 years). Infiltrate patterns included: single lobar, 61%; multilobar unilateral, 13%; multilobar bilateral, 16%; and interstitial, 10%. Pleural effusion was present in 21%. Overall, 63% required supplemental oxygen (median duration, 31.5 hours), 8% required intensive care, and 3% required mechanical ventilation. Median length of stay was 51.5 hours. Compared with single lobar infiltrate, all other infiltrate patterns were associated with need for intensive care; only bilateral multilobar infiltrate was associated with need for mechanical ventilation (adjusted odds ratio [aOR]: 3.0, 95% confidence interval [CI]: 1.2-7.9). Presence of effusion was associated with increased length of stay and duration of supplemental oxygen; only moderate/large effusion was associated with need for intensive care (aOR: 3.2, 95% CI: 1.1-8.9) and mechanical ventilation (aOR: 14.8, 95% CI: 9.8-22.4).</p>

<p><strong>CONCLUSIONS: </strong>Admission radiographic findings are associated with important hospital outcomes and care processes and may help predict disease severity.</p>

10.1002/jhm.2227

J Hosp Med

24942619