Tufts University School of Medicine, Boston, MA, USA.
Division of Geographic Medicine and Infectious Diseases, Department of Medicine, Tufts Medical Center, Boston, MA, USA.
Clin Biochem. 2023 Jul;117:23-29. doi: 10.1016/j.clinbiochem.2022.03.009. Epub 2022 Apr 1.
Clostridiodes difficile infection (CDI) is a leading cause of healthcare associated infection and is associated with increased morbidity and mortality. Diagnostic stewardship is critical in optimizing testing accuracy for CDI. Multiple algorithms have been used for testing combining toxin A/B, glutamate dehydrogenase antigen and nucleic acid amplification test (NAAT) to enhance sensitivity. This study evaluated the effectiveness of two interventions on the rates and appropriateness of Clostridiodes difficile test orders and hospital-onset (HO) CDI. All Clostridiodes difficile orders and results in the study period (1/2018-2/2021) were included. To evaluate ordering appropriateness, we reviewed the medical charts of a random subsample of 100 orders that were collected from three periods within the study: pre-intervention and following each intervention. The first intervention was a clinical decision support system (CDSS) tool guiding providers to order testing only if CDI clinical criteria were met. The second intervention eliminated automatic NAAT reflex for indeterminate results and required antimicrobial stewardship team approval. A total of 3004 orders were registered during the study period. There was a 33% reduction in the rates of Clostridiodes difficile orders by the end of the study period (p < 0.001). The rates of reportable HO-CDI were significantly reduced by 57.1% (p = 0.003). We also noted a trend of increased appropriateness of testing overtime. In conclusion, combining CDSS intervention with NAAT reflex restriction was an effective tool to reduce inappropriate Clostridiodes difficile orders and decrease the rates of reportable HO-CDI.
艰难梭菌感染(CDI)是医疗保健相关感染的主要原因,与发病率和死亡率增加有关。诊断管理对于优化 CDI 的检测准确性至关重要。已经使用了多种算法来进行检测,结合毒素 A/B、谷氨酸脱氢酶抗原和核酸扩增试验(NAAT)以提高灵敏度。本研究评估了两种干预措施对艰难梭菌检测订单率和医院获得性(HO)CDI 的适宜性的影响。研究期间(2018 年 1 月至 2021 年 2 月)所有艰难梭菌检测订单和结果均包括在内。为了评估订单的适宜性,我们回顾了研究期间三个时期(干预前和每次干预后)随机抽取的 100 个订单的医疗记录。第一个干预措施是临床决策支持系统(CDSS)工具,指导提供者仅在符合 CDI 临床标准时才进行检测。第二个干预措施取消了不确定结果的自动 NAAT 反射,并需要抗菌药物管理团队的批准。在研究期间共登记了 3004 个订单。研究结束时,艰难梭菌检测订单的比例降低了 33%(p<0.001)。报告的 HO-CDI 发生率显著降低了 57.1%(p=0.003)。我们还注意到检测的适宜性随着时间的推移呈增加趋势。总之,将 CDSS 干预与 NAAT 反射限制相结合是减少不必要的艰难梭菌检测订单和降低报告的 HO-CDI 发生率的有效工具。