Estimating bacterial load in S. aureus and E. coli bacteremia using bacterial growth graph from the continuous monitoring blood culture system.

IF 3.7 3区 医学 Q2 INFECTIOUS DISEASES European Journal of Clinical Microbiology & Infectious Diseases Pub Date : 2024-10-01 Epub Date: 2024-07-29 DOI:10.1007/s10096-024-04893-w
Leehe Turkeltaub, Livnat Kashat, Marc V Assous, Karen Adler, Maskit Bar-Meir
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Abstract

Background: We examined whether the time to positivity (TTP) and growth and detection plot graph (GDPG) created by the automated blood culture system can be used to determine the bacterial load in bacteremic patients and its potential association correlation with disease severity.

Methods: Known bacterial inocula were injected into the blood culture bottles. The GDPGs for the specific inocula were downloaded and plotted. A cohort of 30 consecutive clinical cultures positive for S. aureus and E. coli was identified. Bacterial load was determined by comparing the GDPG with the "standard" curves. Variables associated with disease severity were compared across 3 bacterial load categories (< 100, 100-1000, > 1000 CFU/mL).

Results: S. aureus growth was sensitive to the blood volume obtained whereas E. coli growth was less so. A 12-hour delay in sample transfer to the microbiology laboratory resulted in a decrease in TTP by 2-3 h. Mean TTP was 15 and 10 h for S. aureus and E. coli, respectively, which correlates with > 1000 CFU/mL and 500-1000 CFU/ml. For S. aureus, patients with a bacterial load > 100 CFU/mL had a higher mortality rate, (OR for death = 9.7, 95% CI 1.6-59, p = 0.01). Bacterial load > 1000 CFU/mL had an odds ratio of 6.4 (95% CI1.2-35, p = 0.03) to predict an endovascular source. For E. coli bacteremia, we did not find any correlations with disease severity.

Conclusion: GDPG retrieved from the automated blood culture system can be used to estimate bacterial load. S.aureus bacterial load, but not E.coli, was associated with clinical outcome.

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利用连续监测血培养系统的细菌生长图估算金黄色葡萄球菌和大肠杆菌菌血症中的细菌量。
背景:我们研究了自动血培养系统创建的阳性时间(TTP)和生长与检测曲线图(GDPG)是否可用于确定菌血症患者的细菌负荷及其与疾病严重程度的潜在相关性:方法:将已知的细菌接种体注入血培养瓶。方法:将已知的细菌接种液注入血液培养瓶,下载并绘制特定接种液的 GDPG。确定了 30 例金黄色葡萄球菌和大肠杆菌连续临床培养阳性的患者。通过比较 GDPG 与 "标准 "曲线,确定细菌量。比较了 3 个细菌负荷类别(1000 CFU/mL)中与疾病严重程度相关的变量:结果:金黄色葡萄球菌的生长对采血量很敏感,而大肠杆菌的生长则不那么敏感。金黄色葡萄球菌和大肠埃希氏菌的平均TTP分别为15和10小时,与> 1000 CFU/mL和500-1000 CFU/ml相关。就金黄色葡萄球菌而言,细菌量大于 100 CFU/mL 的患者死亡率较高(死亡 OR = 9.7,95% CI 1.6-59,p = 0.01)。细菌量大于 1000 CFU/mL 预测血管内来源的几率比为 6.4(95% CI1.2-35,p = 0.03)。对于大肠杆菌血症,我们没有发现与疾病严重程度有任何关联:结论:从自动血液培养系统中提取的 GDPG 可用来估计细菌量。结论:从自动血液培养系统中提取的 GDPG 可用于估计细菌量,金黄色葡萄球菌的细菌量与临床结果有关,而大肠杆菌与临床结果无关。
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来源期刊
CiteScore
10.40
自引率
2.20%
发文量
138
审稿时长
1 months
期刊介绍: EJCMID is an interdisciplinary journal devoted to the publication of communications on infectious diseases of bacterial, viral and parasitic origin.
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