National Healthcare Safety Network Standardized Antimicrobial Administration Ratios (SAARs): A Progress Report and Risk Modeling Update Using 2017 Data.

National Healthcare Safety Network Standardized Antimicrobial Administration Ratios (SAARs): A Progress Report and Risk Modeling Update Using 2017 Data.
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DOI:
10.1093/cid/ciaa326
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发表时间:
2020-12-17
期刊:
Clinical infectious diseases : an official publication of the Infectious Diseases Society of America
影响因子:
--
通讯作者:
Pollock DA
Pollock DA
中科院分区:
其他
文献类型:
--
作者:
O'Leary EN;Edwards JR;Srinivasan A;Neuhauser MM;Webb AK;Soe MM;Hicks LA;Wise W;Wu H;Pollock DA

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标准化抗菌药物管理比率 (SAAR) 是美国疾病控制与预防中心 (CDC) 于 2015 年开发的抗菌药物使用 (AU) 风险调整指标,作为医院抗菌药物管理计划 (ASP) 的工具,用于跟踪 AU 并将其与国家基准进行比较。 2018 年,CDC 更新了 SAAR,扩大了可计算 SAAR 的地点和抗菌药物类别,并分别对成人和儿童地点进行建模。我们确定了符合条件的患者护理地点并定义了 SAAR 抗菌药物类别。针对符合条件的成人和儿童患者护理地点开发了预测模型,使用负二项式回归应用于向国家医疗安全网络 (NHSN) 报告 ≥9 个月的 2017 年数据的地点的全国汇总 AU 数据。 2017 年基线 SAAR 模型是使用 457 家医院 2156 个成人和 170 个儿科地点报告的数据针对 7 种成人和 8 种儿科 SAAR 抗菌药物类别开发的。在成人 2017 年基线 SAAR 模型中纳入降级单元和普通血液肿瘤单元,并添加窄谱 B-内酰胺类药物、主要用于侵袭性念珠菌病的抗真菌药物、艰难梭菌感染风险最高的抗菌药物以及阿奇霉素(仅限儿​​科)的 SAAR,扩大了 SAAR 在 ASP 工作中的作用。最终的风险调整模型用于计算 NHSN 中显示的 40 种 SAAR 类型的预测抗菌天数,即 SAAR 的分母。 SAAR 可用作促进调查抗菌药物潜在过度使用或使用不足的指标,并评估 ASP 干预措施的有效性。
The Standardized Antimicrobial Administration Ratio (SAAR) is a risk-adjusted metric of antimicrobial use (AU) developed by the Centers for Disease Control and Prevention (CDC) in 2015 as a tool for hospital antimicrobial stewardship programs (ASPs) to track and compare AU with a national benchmark. In 2018, CDC updated the SAAR by expanding the locations and antimicrobial categories for which SAARs can be calculated and by modeling adult and pediatric locations separately. We identified eligible patient-care locations and defined SAAR antimicrobial categories. Predictive models were developed for eligible adult and pediatric patient-care locations using negative binomial regression applied to nationally aggregated AU data from locations reporting ≥9 months of 2017 data to the National Healthcare Safety Network (NHSN). 2017 Baseline SAAR models were developed for 7 adult and 8 pediatric SAAR antimicrobial categories using data reported from 2156 adult and 170 pediatric locations across 457 hospitals. The inclusion of step-down units and general hematology-oncology units in adult 2017 baseline SAAR models and the addition of SAARs for narrow-spectrum B-lactam agents, antifungals predominantly used for invasive candidiasis, antibacterial agents posing the highest risk for Clostridioides difficile infection, and azithromycin (pediatrics only) expand the role SAARs can play in ASP efforts. Final risk-adjusted models are used to calculate predicted antimicrobial days, the denominator of the SAAR, for 40 SAAR types displayed in NHSN. SAARs can be used as a metric to prompt investigation into potential overuse or underuse of antimicrobials and to evaluate the effectiveness of ASP interventions.
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