Epidemiology and Management of Orbital Cellulitis in Children.

BACKGROUND: The epidemiology of orbital cellulitis likely has evolved due to the emergence of methicillin-resistant Staphylococcus aureus (MRSA) and the adoption of pneumococcal conjugate vaccination. In the absence of published guidelines, management is highly variable. We characterized epidemiology and management over an 11-year period. METHODS: A retrospective cohort study of children 0 to 21 years of age with orbital cellulitis +/- subperiosteal orbital abscess hospitalized at a large quaternary children's hospital from January 2008 to June 2018. We reviewed charts for demographic characteristics, clinical features, management, and outcomes. Using multivariable logistic regression, we evaluated predictors of surgical intervention and assessed whether corticosteroid use or antibiotic duration was related to clinical outcomes. RESULTS: Among 220 patients, methicillin-susceptible S. aureus was the most common organism (26.3%), with MRSA found in only 5.0%. Rates of vancomycin use fluctuated annually from 40.9% to 84.6%. Surgery was performed in 39.5% of the patients. Corticosteroids, used in 70 patients (32.1%), were unrelated to treatment failure (n = 9), defined as persistent signs and symptoms or initial clinical improvement followed by worsening (P = .137). The median antibiotic duration was 17 days (interquartile range 14-26). After controlling for age, gender, proptosis, eye pain with movement, eyelid swelling, neutrophil count, and corticosteroid use, treatment failure was not significantly associated with receipt of ≥ 3 weeks of antibiotic therapy (8/84, 9.5%) compared with > 2 but < 3 weeks (0/51, 0.0%) or ≤ 2 weeks (1/85, 1.2%) (adjusted odds ratio = 5.83 for ≥ 3 vs ≤2 weeks; 95% confidence interval: 0.58, 59.0). CONCLUSIONS: Although MRSA was rare, empiric vancomycin use was high. Treatment failure was uncommon in patients who received ≤ 2 weeks of therapy, suggesting that shorter durations are adequate in some patients.

Updated Guidance on Use and Prioritization of Monoclonal Antibody Therapy for Treatment of COVID-19 in Adolescents.

BACKGROUND: Starting in November 2020, the US Food and Drug Administration (FDA) has issued Emergency Use Authorizations (EUAs) for multiple novel virus-neutralizing monoclonal antibody therapies, including bamlanivimab monotherapy (now revoked), bamlanivimab and etesivimab, casirivimab and imdevimab (REGEN-COV), and sotrovimab, for treatment or postexposure prophylaxis of Coronavirus disease 2019 (COVID-19) in adolescents (≥12 years of age) and adults with certain high-risk conditions. Previous guidance is now updated based on new evidence and clinical experience. METHODS: A panel of experts in pediatric infectious diseases, pediatric infectious diseases pharmacotherapy, and pediatric critical care medicine from 18 geographically diverse US institutions was convened. Through a series of teleconferences and web-based surveys, a guidance statement was developed and refined based on a review of the best available evidence and expert opinion. RESULTS: The course of COVID-19 in children and adolescents is typically mild, though more severe disease is occasionally observed. Evidence supporting risk stratification is incomplete. Randomized controlled trials have demonstrated the benefit of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2)-specific monoclonal antibody therapies in adults, but data on safety and efficacy in children or adolescents are limited. Potential harms associated with infusion reactions or anaphylaxis are reportedly low in adults. CONCLUSIONS: Based on evidence available as of August 31, 2021, the panel suggests a risk-based approach to administration of SARS-CoV-2 monoclonal antibody therapy. Therapy is suggested for the treatment of mild to moderate COVID-19 in adolescents (≥12 years of age) at the highest risk of progression to hospitalization or severe disease. Therapeutic decision-making about those at moderate risk of severe disease should be individualized. Use as postexposure prophylaxis could be considered for those at the highest risk who have a high-risk exposure but are not yet diagnosed with COVID-19. Clinicians and health systems should ensure safe and timely implementation of these therapeutics that does not exacerbate existing healthcare disparities.

Potential Impact of Initial Clinical Data on Adjustment of Pediatric Readmission Rates.

OBJECTIVE: Comparison of readmission rates requires adjustment for case-mix (ie, differences in patient populations), but previously only claims data were available for this purpose. We examined whether incorporation of relatively readily available clinical data improves prediction of pediatric readmissions and thus might enhance case-mix adjustment. METHODS: We examined 30-day readmissions using claims and electronic health record data for patients ≤18 years and 29 days of age who were admitted to 3 children's hospitals from February 2011 to February 2014. Using the Pediatric All-Condition Readmission Measure and starting with a model including age, gender, chronic conditions, and primary diagnosis, we examined whether the addition of initial vital sign and laboratory data improved model performance. We employed machine learning to evaluate the same variables, using the L2-regularized logistic regression with cost-sensitive learning and convolutional neural network. RESULTS: Controlling for the core model variables, low red blood cell count and mean corpuscular hemoglobin concentration and high red cell distribution width were associated with greater readmission risk, as were certain interactions between laboratory and chronic condition variables. However, the C-statistic (0.722 vs 0.713) and McFadden's pseudo R2 (0.085 vs 0.076) for this and the core model were similar, suggesting minimal improvement in performance. In machine learning analyses, the F-measure (harmonic mean of sensitivity and positive predictive value) was similar for the best-performing model (containing all variables) and core model (0.250 vs 0.243). CONCLUSIONS: Readily available clinical variables do not meaningfully improve the prediction of pediatric readmissions and would be unlikely to enhance case-mix adjustment unless their distributions varied widely across hospitals.

Pediatric Readmissions After Hospitalizations for Lower Respiratory Infections.

BACKGROUND AND OBJECTIVE: Lower respiratory infections (LRIs) are among the most common reasons for pediatric hospitalization and among the diagnoses with the highest number of readmissions. Characterizing LRI readmissions would help guide efforts to prevent them. We assessed variation in pediatric LRI readmission rates, risk factors for readmission, and readmission diagnoses. METHODS: We analyzed 2008-2009 Medicaid Analytic eXtract data for patients <18 years of age in 26 states. We identified LRI hospitalizations based on a primary diagnosis of bronchiolitis, influenza, or community-acquired pneumonia or a secondary diagnosis of one of these LRIs plus a primary diagnosis of asthma, respiratory failure, or sepsis/bacteremia. Readmission rates were calculated as the proportion of hospitalizations followed by ≥1 unplanned readmission within 30 days. We used logistic regression with fixed effects for patient characteristics and a hospital random intercept to case-mix adjust rates and assess risk factors. RESULTS: Of 150 590 LRI hospitalizations, 8233 (5.5%) were followed by ≥1 readmission. The median adjusted hospital readmission rate was 5.2% (interquartile range: 5.1%-5.4%), and rates varied across hospitals (P < .0001). Infants (patients <1 year of age), boys, and children with chronic conditions were more likely to be readmitted. The most common primary diagnoses on readmission were LRIs (48.2%), asthma (10.0%), fluid/electrolyte disorders (3.4%), respiratory failure (3.3%), and upper respiratory infections (2.7%). CONCLUSIONS: LRI readmissions are common and vary across hospitals. Multiple risk factors are associated with readmission, indicating potential targets for strategies to reduce readmissions. Readmission diagnoses sometimes seem related to the original LRI.

Factors associated with meaningful use incentives in children's hospitals.

BACKGROUND AND OBJECTIVE: Among children's hospitals, little is known about how barriers to electronic health record (EHR) adoption are related to meaningful use (MU) incentives. We investigated hospital success with MU incentive payments and determined associations with hospital-reported challenges and characteristics. METHODS: A survey administered to 224 Children's Hospital Association hospitals assessed a variety of potential challenges to achieving meaningful EHR use (eg, lack of access to capital) and specific MU criteria that would be challenging to fulfill (eg, implement clinical decision support rules). These results were combined with data on hospitals that received MU payments up to March 2014 and information on hospital characteristics. Associations between anticipated challenges, children's hospital type, and receipt of MU incentives were evaluated in bivariate and multivariate analyses. RESULTS: One hundred thirty-three children hospitals completed the survey (response rate 59.4%). Thirty-five percent of responding children's hospitals received MU incentive payments. The most frequently anticipated hospital challenges included the following: exchange clinical information with other providers outside your hospital system (49%), and generate numerator and denominator data for quality reporting directly from EHR (41%). Freestanding children's hospitals were more likely to indicate lack of relevance of MU criteria to pediatric care (odds ratio: 37.6 [95% confidence interval: 4.6-309.3]) and more likely to receive MU incentive payments (odds ratio: 26 [95% confidence interval: 5.2-130.6]). CONCLUSIONS: As of 2014, a minority of children's hospitals have successfully received MU incentive payments. Freestanding children's hospitals are more likely to report MU is not relevant to pediatric care and to succeed with MU incentive payments.

Impact of the meaningful use incentive program on electronic health record adoption by US children's hospitals.

OBJECTIVE: We determined adoption rates of pediatric-oriented electronic health record (EHR) features by US children's hospitals and assessed perceptions regarding the suitability of commercial EHRs for pediatric care and the influence of the meaningful use incentive program on implementation of pediatric-oriented features. MATERIALS AND METHODS: We surveyed members of the Children's Hospital Association. We measured adoption of 19 pediatric-oriented features and asked whether commercial EHRs include key pediatric-focused capabilities. We inquired about the meaningful use program's relevance to pediatrics and its influence on EHR implementation priorities. RESULTS: Of 164 general acute care children's hospitals, 100 (61%) responded to the survey. Rates of comprehensive (across all pediatric units) adoption ranged from 37% (age-, gender-, and weight-adjusted blood pressure percentiles and immunization contraindication warnings) to 87% (age in appropriate units). Implementation rates for several features varied significantly by children's hospital type. Nearly 60% of hospitals reported having EHRs that do not contain all features essential for high-quality care. A majority of hospitals indicated that the meaningful use program has had no effect on their adoption of pediatric features, while 26% said they have delayed or forgone incorporation of such features because of the program. CONCLUSIONS: Children's hospitals are implementing pediatric-focused features, but a sizable proportion still finds their systems suboptimal for pediatric care. The meaningful use incentive program is failing to promote and in some cases delaying uptake of pediatric-oriented features.

Using Medicaid and CHIP claims data to support pediatric quality measurement: lessons from 3 centers of excellence in measure development.

OBJECTIVE: We sought to explore the claims data-related issues relevant to quality measure development for Medicaid and the Children's Health Insurance Program (CHIP), illustrating the challenges encountered and solutions developed around 3 distinct performance measure topics: care coordination for children with complex needs, quality of care for high-prevalence conditions, and hospital readmissions. METHODS: Each of 3 centers of excellence presents an example that illustrates the challenges of using claims data for quality measurement. RESULTS: Our Centers of Excellence in pediatric quality measurement used innovative methods to develop algorithms that use Medicaid claims data to identify children with complex needs; overcome some shortcomings of existing data for measuring quality of care for common conditions such as otitis media; and identify readmissions after hospitalizations for lower respiratory infections. CONCLUSIONS: Our experience constructing quality measure specifications using claims data suggests that it will be challenging to measure key quality of care constructs for Medicaid-insured children at a national level in a timely and consistent way. Without better data to underpin pediatric quality measurement, Medicaid and CHIP will have difficulty using some existing measures for accountability, value-based purchasing, and quality improvement both across states and within states.

Pediatric readmission prevalence and variability across hospitals.

IMPORTANCE: Readmission rates are used as an indicator of the quality of care that patients receive during a hospital admission and after discharge. OBJECTIVE: To determine the prevalence of pediatric readmissions and the magnitude of variation in pediatric readmission rates across hospitals. DESIGN, SETTING, AND PATIENTS: We analyzed 568,845 admissions at 72 children's hospitals between July 1, 2009, and June 30, 2010, in the National Association of Children's Hospitals and Related Institutions Case Mix Comparative data set. We estimated hierarchical regression models for 30-day readmission rates by hospital, accounting for age and Chronic Condition Indicators. Hospitals with adjusted readmission rates that were 1 SD above and below the mean were defined as having "high" and "low" rates, respectively. MAIN OUTCOME MEASURES: Thirty-day unplanned readmissions following admission for any diagnosis and for the 10 admission diagnoses with the highest readmission prevalence. Planned readmissions were identified with procedure codes from the International Classification of Diseases, Ninth Revision, Clinical Modification. RESULTS: The 30-day unadjusted readmission rate for all hospitalized children was 6.5% (n = 36,734). Adjusted rates were 28.6% greater in hospitals with high vs low readmission rates (7.2% [95% CI, 7.1%-7.2%] vs 5.6% [95% CI, 5.6%-5.6%]). For the 10 admission diagnoses with the highest readmission prevalence, the adjusted rates were 17.0% to 66.0% greater in hospitals with high vs low readmission rates. For example, sickle cell rates were 20.1% (95% CI, 20.0%-20.3%) vs 12.7% (95% CI, 12.6%-12.8%) in high vs low hospitals, respectively. CONCLUSIONS AND RELEVANCE: Among patients admitted to acute care pediatric hospitals, the rate of unplanned readmissions at 30 days was 6.5%. There was significant variability in readmission rates across conditions and hospitals. These data may be useful for hospitals' quality improvement efforts.

Cost effectiveness of child pneumococcal conjugate vaccination in GAVI-eligible countries.

Policy-makers increasingly rely on cost-effectiveness analysis, in addition to clinical effectiveness, when considering the introduction of new childhood vaccines. A previous analysis determined vaccination of infants with 7-valent pneumococcal conjugate vaccine (PCV) to be highly cost effective in preventing child mortality in countries eligible for financial support from the Global Alliance for Vaccines and Immunization (GAVI). We aimed to update this analysis by incorporating recent data on global disease burden, indirect effects and higher valency vaccines. Decision analytic models were built using an incidence-based approach in order to evaluate a three-dose vaccination schedule of infants in 72 GAVI-eligible countries over a 10-year programme. Seven-, 10- and 13-valent vaccine formulations were each compared with no vaccination. Depending on the formulation used, PCV could avert 294 000-603 000 deaths and 9.3-17.6 million disability-adjusted life-years (DALY) annually. The majority (91%) of the DALYs averted would be through the vaccine's direct effects in children under-5. Using WHO thresholds and a negotiated average dose cost, PCV would be highly cost effective in 69 of 72 GAVI-eligible countries. This finding was robust when assumptions regarding disease epidemiology and vaccine-related effects were varied in sensitivity analyses. The current analysis supports PCV introduction in GAVI-eligible countries owing to its potential to avert substantial numbers of deaths at relatively low incremental costs.

Cost effectiveness of child pneumococcal conjugate vaccination in middle-income countries.

Policy-makers require information on the potential benefits of and economic case for pneumococcal conjugate vaccination in middle-income countries. We built decision analysis models to evaluate a three-dose infant series of the 7-, 10- or 13-valent pneumococcal conjugate vaccines in 77 middle-income countries compared with no vaccination, accounting for direct protection of vaccinated children as well as herd protection and serotype replacement in unvaccinated children and adults. Over 10 years, pneumococcal vaccination would prevent at least 11.0 million cases and 314 000 deaths in children under-5, one-third of the pneumonia and invasive disease cases and deaths that would occur in this age group without vaccination. Herd protection would prevent 3.1 million cases and 163 000 deaths in older children and adults. A total of 11.1 million discounted disability-adjusted life-years (DALY) would be averted. At a dose cost of $10 for lower- middle-income and $20 for upper-middle-income countries, the net pooled (for all countries together) discounted vaccination cost would be $18.1 billion ($1600 per DALY averted). Vaccination would be cost effective for 72 countries with the 7-valent vaccine and for all countries with the 10- or 13-valent vaccines. The economic case for vaccination is compelling for middle-income countries.