澳大利亚墨尔本一家三级转诊医院中与抗菌素敏感和耐药医院源性血流感染相关的死亡率和住院时间

IF 3.3 Q2 INFECTIOUS DISEASES
JAC-Antimicrobial Resistance Pub Date : 2025-10-21 eCollection Date: 2025-10-01 DOI:10.1093/jacamr/dlaf183
Stephanie J Curtis, Sue J Lee, Ben S Cooper, Jan M Bell, Geoffrey W Coombs, Denise A Daley, Allen C Cheng, Denis W Spelman, Anton Y Peleg, Andrew J Stewardson
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引用次数: 0

摘要

背景和目的:澳大利亚很少有关于医院源性血流感染负担的数据。通过增加基于实验室的监测数据,量化抗菌素敏感和耐药的HO-BSIs对患者预后的影响。方法:2015年至2020年,我们在澳大利亚墨尔本的一家三级转诊医院进行了一项回顾性队列研究。我们将管理数据与澳大利亚抗微生物药物耐药性小组的血液感染监测数据联系起来。我们使用单独的肠杆菌、金黄色葡萄球菌、肠球菌和非发酵革兰氏阴性杆菌(NFGNB)、铜绿假单胞菌和不动杆菌的模型,与未使用HO-BSI的入院患者进行比较,进行了病因特异性Cox比例风险回归,以量化HO-BSI对住院患者死亡率和活出院率的影响。使用多状态模型估计超额停留时间(LOS)。结果:278 984例入组患者中有814例(0.3%)为ho - bsi患者。肠杆菌是最常见的病原体,其次是肠球菌、金黄色葡萄球菌和NFGNB(发病率分别为3.62、2.34、1.11和0.80例/万患者日)。与没有HO-BSI的入院患者相比,耐药和敏感HO-BSI均增加了死亡和LOS的风险。耐药和敏感的ho - bsi分别使肠杆菌的LOS增加了5.7天(95% CI: 4.9-6.5)和4.1天(95% CI: 3.8-4.5),肠球菌的LOS增加了4.9天(95% CI: 4.5-5.4)和3.1天(95% CI: 2.6-3.6),金黄色葡萄球菌的LOS增加了6.3天(95% CI: 5.3-7.3)和9.8天(95% CI: 9.1-10.5)。结论:抗微生物敏感和耐药的HO-BSIs对患者预后有重大影响。我们论证了利用国家实验室监测系统量化HO-BSI影响的可行性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Mortality and length of stay associated with antimicrobial-susceptible and -resistant hospital-onset bloodstream infections at a tertiary referral hospital in Melbourne, Australia.

Mortality and length of stay associated with antimicrobial-susceptible and -resistant hospital-onset bloodstream infections at a tertiary referral hospital in Melbourne, Australia.

Mortality and length of stay associated with antimicrobial-susceptible and -resistant hospital-onset bloodstream infections at a tertiary referral hospital in Melbourne, Australia.

Background and objectives: There are few Australian data regarding the burden of hospital-onset bloodstream infections (HO-BSIs). To quantify the impact of antimicrobial-susceptible and -resistant HO-BSIs on patient outcomes by augmenting laboratory-based surveillance data.

Methods: We performed a retrospective cohort study at a tertiary referral hospital in Melbourne, Australia, from 2015 to 2020. We linked administrative data with bloodstream infection surveillance data from the Australian Group on Antimicrobial Resistance. We performed cause-specific Cox proportional hazards regression to quantify the impact of HO-BSI on inpatient mortality and discharge alive, with separate models for Enterobacterales, Staphylococcus aureus, Enterococcus species and the non-fermenting Gram-negative bacilli (NFGNB), Pseudomonas aeruginosa and Acinetobacter species, compared to admissions without HO-BSI. Excess length of stay (LOS) was estimated using multistate models.

Results: The cohort of 278 984 admissions included 814 (0.3%) HO-BSIs. Enterobacterales were the most frequent pathogens, followed by enterococci, S. aureus and NFGNB (incidence 3.62, 2.34, 1.11 and 0.80 events per 10 000 patient-days, respectively). Both antimicrobial-resistant and -susceptible HO-BSI increased risk of death and LOS compared with admissions without HO-BSI. Antimicrobial-resistant and -susceptible HO-BSIs, respectively, increased LOS by 5.7 days (95% CI: 4.9-6.5) and 4.1 days (95% CI: 3.8-4.5) for Enterobacterales, 4.9 days (95% CI: 4.5-5.4) and 3.1 days (95% CI: 2.6-3.6) for enterococci, and 6.3 days (95% CI: 5.3-7.3) and 9.8 days (95% CI: 9.1-10.5) for S. aureus.

Conclusions: Antimicrobial-susceptible and -resistant HO-BSIs have a substantial impact on patient outcomes. We demonstrated the feasibility of leveraging a national laboratory-based surveillance system to quantify the impact of HO-BSI.

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