Division of Infectious Diseases, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.
Infect Control Hosp Epidemiol. 2013 Dec;34(12):1252-8. doi: 10.1086/673982. Epub 2013 Oct 24.
Antimicrobial stewardship programs (ASPs) are recommended to optimize antimicrobial use for hospitalized patients. Although mechanisms for the implementation of ASPs have been described, data-driven approaches to prioritize specific conditions and antimicrobials for intervention have not been established. We aimed to develop a strategy for identifying high-impact targets for antimicrobial stewardship efforts.
Retrospective cross-sectional study.
Children admitted to 32 freestanding children's hospitals in the United States in 2010.
We identified the conditions with the largest proportional contribution to the total days of antibiotic therapy prescribed to all hospitalized children. For the 4 highest-using conditions, we examined variability between hospitals in antibiotic selection patterns for use of either first- or second-line therapies depending on the condition. Antibiotic use was determined using standardized probability of exposure to selected agents and standardized days of therapy per 1,000 patient-days, adjusting for patient demographics and severity of illness.
In 2010, 524,364 children received 2,082,929 days of antibiotic therapy. Surgical patients received 43% of all antibiotics. The 4 highest-using conditions-pneumonia, appendicitis, cystic fibrosis, and skin and soft-tissue infection-represent 1% of all conditions yet accounted for more than 10% of all antibiotic use. Wide variability in antibiotic use occurred for 3 of these 4 conditions.
Antibiotic use in children's hospitals varied broadly across institutions when examining diagnoses individually and adjusting for severity of illness. Identifying conditions with both frequent and variable antimicrobial use informs the prioritization of high-impact targets for future antimicrobial stewardship interventions.
抗菌药物管理计划(ASPs)旨在优化住院患者的抗菌药物使用。尽管已经描述了实施 ASPs 的机制,但尚未建立针对特定情况和抗菌药物进行干预的基于数据的方法。我们旨在开发一种确定抗菌药物管理工作重点高影响目标的策略。
回顾性横断面研究。
2010 年美国 32 家独立儿童医院住院的儿童。
我们确定了对所有住院儿童开处方的抗生素治疗总天数贡献最大的情况。对于使用抗生素最多的 4 种情况,我们根据医院在使用一线或二线治疗时根据情况选择抗生素的模式,检查了医院之间的差异。抗生素使用使用选定药物的标准化暴露概率和每 1000 个患者天的标准化治疗天数来确定,同时调整患者的人口统计学和疾病严重程度。
2010 年,524364 名儿童接受了 2082929 天的抗生素治疗。手术患者接受了所有抗生素的 43%。使用抗生素最多的 4 种情况——肺炎、阑尾炎、囊性纤维化和皮肤和软组织感染——占所有疾病的 1%,但占所有抗生素使用的 10%以上。这 4 种情况中的 3 种抗生素使用情况存在很大差异。
当单独检查诊断并根据疾病严重程度进行调整时,儿童医院的抗生素使用在机构之间差异很大。确定经常使用且使用情况多变的情况,可以为未来的抗菌药物管理干预措施确定高影响目标提供信息。