用持续监测血液培养系统的细菌生长图表估计S. aureus和E. coli细菌的细菌负载
Leehe Turkeltaub1, Livnat Kashat2, Marc V Assous3,4
1Pediatric Department, Shaare-Zedek Medical Center, Jerusalem, Israel.
概括
自动化血液培养系统可以使用生长和检测图表 (GDPG) 估计细菌负载. 较高的Staphylococcus aureus细菌负载与增加的死亡率和内血管感染风险相关,与大肠杆菌不同.
科学领域:
- 临床微生物学 临床微生物学
- 传染性疾病 传染性疾病
- 诊断技术 诊断技术的使用
背景情况:
- 自动化血液培养系统生成数据,如时间到阳性 (TTP) 和生长和检测图谱图 (GDPG).
- 在确定细菌负载和其与细菌病患者疾病严重程度的相关性方面,TTP和GDPG的实用性仍在研究中.
研究的目的:
- 评估自动化系统的TTP和GDPG是否可以量化细菌病患者的细菌负载.
- 评估估计的细菌负载和疾病严重程度之间的相关性.
主要方法:
- 已知的S. aureus和E. coli的细菌注射剂被用于生成标准GDPGs.
- 通过将患者的GDPG与标准曲线进行比较,估计了临床隔离物中的细菌负载.
- 在不同细菌负载类别 (CFU/mL) 中对疾病严重程度变量进行了比较.
主要成果:
- 黄金菌的生长对血液体积敏感,而大肠杆菌的生长受到的影响较小.
- 较高的S. aureus细菌负载 (>100 CFU/mL) 与死亡率 (OR=9.7) 和内血管感染 (OR=6.4) 的增加有关.
- 没有观察到大肠杆菌细菌负载和疾病严重程度之间的显著相关性.
结论:
- 来自自动化血液培养系统的GDPG有效估计了细菌负载.
- 黄金菌的细菌负载是临床结果的重要预测因素,包括死亡率和感染源.
- 在这项研究中,大肠杆菌的细菌负载与疾病严重程度没有类似的关联.
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