Hospital-onset bacteraemia and fungaemia as a novel automated surveillance indicator: results from four European university hospitals

Seven J.S. Aghdassi, Suzanne D. van der Werff, Gaud Catho, Manon Brekelmans, Luis A. Peña Diaz, Niccolò Buetti, Ferenc D. Rüther, Daniel Dinis Teixeira, Daniel Sjöholm, Pontus Nauclér, Michael Behnke, Maaike S.M. van Mourik, on behalf of the PRAISE-HOB working group
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Abstract

Background: Conventional manual surveillance of healthcare-associated infections is labour-intensive and therefore often restricted to areas with high-risk patients. Fully automated surveillance of hospital-onset bacteraemia and fungaemia (HOB) may facilitate hospital-wide surveillance. Aim: To develop an algorithm and minimal dataset (MDS) required for automated surveillance of HOB and apply it to real-life routine data in four European hospitals. Methods: Through consensus discussion a HOB definition with MDS suitable for automated surveillance was developed and applied in a retrospective multicentre observational study including all admitted adult patients (2018-2022). HOB was defined as a positive blood culture with a recognised pathogen two or more days after hospital admission. For common commensals, two blood cultures with the same commensal within two days were required. Annual HOB rates were calculated per 1,000 patient days for the hospital and for intensive care units (ICU) and non-ICU. Results: HOB rates were comparable between the four hospitals (1.0 to 2.2 per 1,000 patient days). HOB rates were substantially higher in ICU than non-ICU across the four hospitals, and HOB with common commensals accounted for 14.8-28.2% of all HOB. HOB rates per 1,000 patient days were rather consistent over time, but were higher in 2020 and 2021. HOB caused by Staphylococcus aureus accounted for 8.4-16.0% of all HOB. Conclusion: Automated HOB surveillance using a common definition was feasible and reproducible across four European hospitals. Future studies should investigate clinical relevance and preventability of HOB, and focus on strategies to make the automated HOB metric an actionable infection control tool.
作为新型自动监控指标的医院菌血症和真菌血症:来自四所欧洲大学医院的结果
背景:对医疗相关感染的传统人工监测需要大量人力,因此通常仅限于有高风险病人的区域。目的:开发一种算法和最小数据集 (MDS),以实现对医院感染的自动监控,并将其应用于欧洲四家医院的实际例行数据中。方法:通过协商一致的讨论,制定了适用于自动监测的 HOB 定义和 MDS,并将其应用于一项回顾性多中心观察研究,其中包括所有入院的成人患者(2018-2022 年)。HOB的定义是入院两天或两天以上后,血液培养中的公认病原体呈阳性。对于常见的共生菌,需要在两天内进行两次相同共生菌的血液培养。计算了医院、重症监护室(ICU)和非重症监护室每 1,000 个患者日的年 HOB 率。结果显示四家医院的HOB率不相上下(每千名患者1.0至2.2天)。在四家医院中,重症监护病房的HOB率远远高于非重症监护病房,常见共生菌引起的HOB占所有HOB的14.8-28.2%。每千个住院日的HOB发生率在不同时期相当一致,但在2020年和2021年较高。由金黄色葡萄球菌引起的HOB占所有HOB的8.4-16.0%:结论:在四家欧洲医院中使用通用定义自动监测 HOB 是可行的,并且具有可重复性。未来的研究应调查HOB的临床相关性和可预防性,并重点关注使自动HOB指标成为可操作的感染控制工具的策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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