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1.
J Am Coll Emerg Physicians Open ; 5(3): e13210, 2024 Jun.
Article in English | MEDLINE | ID: mdl-38841297

ABSTRACT

Objective: Pediatric dog bite injuries are a major public health concern and antibiotic prophylaxis is often prescribed due to concern about the development of infection. The Infectious Diseases Society of America recommends 3‒5 days of antibiotic prophylaxis for high-risk dog bites. The purpose of our study was to compare infection rates among patients receiving antibiotic prophylaxis and those who did not receive antibiotic prophylaxis. Methods: We conducted a retrospective cohort study of children aged 3 months to 17 years enrolled in the healthcare systems' affiliated accountable care organization (ACO). Eligible children with a dog bite injury presented at an urgent care center or emergency department between 2016 and 2019. We excluded children who were immunosuppressed or had bites that required closure by a surgeon. An electronic health record review was completed and ACO claims data were used to determine if a prescription was filled. Patients with an International Classification of Diseases (ICD)-10 code concerning for infection within 7 days of injury were recorded as having a bite infection. Results: A total of 2653 non-immunosuppressed children presented for care of dog bite injuries and 672 children met eligibility criteria. Thirty-five children developed an infection of their injury. Of the 539 children who received antibiotic prophylaxis, 5.8% developed an infection and 3.0% of the 133 children who did not receive antibiotic prophylaxis developed an infection (p = 0.28). Conclusion: The overall infection rate for pediatric dog bite injuries was 5.2%. In our single-center study, no difference in infection rates was found between those receiving and not receiving antibiotic prophylaxis.

2.
J Pediatr ; 231: 94-101.e2, 2021 04.
Article in English | MEDLINE | ID: mdl-33130155

ABSTRACT

OBJECTIVE: To compare the medical costs associated with risk stratification criteria used to evaluate febrile infants 29-90 days of age. STUDY DESIGN: A cost analysis study was conducted evaluating the Boston, Rochester, Philadelphia, Step-by-Step, and PECARN criteria. The percentage of infants considered low risk and rates of missed infections were obtained from published literature. Emergency department costs were estimated from the Centers for Medicare and Medicaid Services. The Health Care Cost and Utilization Project databases were used to estimate the number of infants ages 29-90 days presenting with fever annually and costs for admissions related to missed infections. A probabilistic Markov model with a Dirichlet prior was used to estimate the transition probability distributions for each outcome, and a gamma distribution was used to model costs. A Markov simulation estimated the distribution of expected annual costs per infant and total annual costs. RESULTS: For low-risk infants, the mean cost per infant for the criteria were Rochester: $1050 (IQR $1004-$1092), Philadelphia: $1416 (IQR, $1365-$1465), Boston: $1460 (IQR, $1411-$1506), Step-by-Step $942 (IQR, $899-$981), and PECARN $1004 (IQR, $956-$1050). An estimated 18 522 febrile 1- to 3-month-old infants present annually and estimated total mean costs for their care by criteria were: Rochester, $127.3 million (IQR, $126.1-$128.5); Philadelphia, $129.9 million (IQR, $128.7-$131.1); Boston, $128.7 million (IQR, $127.5-$129.9); Step-by-Step, $ 126.6 million (IQR, $125.4-$127.8); and PECARN, $125.8 million (IQR, $124.6-$127). CONCLUSIONS: The Rochester, Step-by-step, and PECARN criteria are the least costly when evaluating infants 29-90 days of age with a fever.


Subject(s)
Bacterial Infections/diagnosis , Clinical Decision Rules , Emergency Service, Hospital/economics , Fever/etiology , Health Care Costs/statistics & numerical data , Bacterial Infections/complications , Bacterial Infections/economics , Bacterial Infections/therapy , Databases, Factual , Decision Trees , Female , Fever/diagnosis , Fever/economics , Humans , Infant , Infant, Newborn , Male , Markov Chains , Risk Assessment , United States
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