Ombelet Sien, Natale Alessandra, Ronat Jean-Baptiste, Kesteman Thomas, Vandenberg Olivier, Jacobs Jan, Hardy Liselotte
Department of Clinical Sciences, Institute of Tropical Medicine, Antwerp, Belgium; Department of Microbiology, Immunology & Transplantation, Katholieke Universiteit Leuven, Leuven, Belgium.
Médecins Sans Frontières, Operational Centre Paris, Paris, France.
Lancet Microbe. 2022 Feb;3(2):e124-e132. doi: 10.1016/S2666-5247(21)00241-X. Epub 2021 Dec 13.
Manual blood culture bottles (BCBs) are frequently used in low-resource settings. There are few BCB performance evaluations, especially evaluations comparing them with automated systems. We evaluated two manual BCBs (Bi-State BCB and BacT/ALERT BCB) and compared their yield and time to growth detection with those of automated BacT/ALERT system.
BCBs were spiked in triplicate with 177 clinical isolates representing pathogens common in low-resource settings (19 bacterial and one yeast species) in adult and paediatric volumes, resulting in 1056 spiked BCBs per BCB system. Growth in manual BCBs was evaluated daily by visually inspecting the broth, agar slant, and, for BacT/ALERT BCB, colour change of the growth indicator. The primary outcomes were BCB yield (proportion of spiked BCB showing growth) and time to detection (proportion of positive BCB with growth detected on day 1 of incubation). 95% CI for yield and growth on day 1 were calculated using bootstrap method for clustered data using. Secondary outcomes were time to colony for all BCBs (defined as number of days between incubation and colony growth sufficient to use for further testing) and difference between time to detection in broth and on agar slant for the Bi-State BCBs.
Overall yield was 95·9% (95% CI 93·9-98·0) for Bi-State BCB and 95·5% (93·3-97·8) for manual BacT/ALERT, versus 96·1% (94·0-98·1) for the automated BacT/ALERT system (p=0·61). Day 1 growth was present in 920 (90·8%) of 1013 positive Bi-State BCB and 757 (75·0%) of 1009 positive manual BacT/ALERT BCB, versus 1008 (99·3%) of 1015 automated bottles. On day 2, detection rates were 100% for BI-State BCB, 97·7% for manual BacT/ALERT BCB, and 100% for automated bottles. For Bi-State BCB, growth mostly occurred simultaneously in broth and slant (81·7%). Sufficient colony growth on the slant to perform further tests was present in only 44·1% of biphasic bottles on day 2 and 59·0% on day 3.
The yield of manual BCB was comparable with the automated system, suggesting that manual blood culture systems are an acceptable alternative to automated systems in low-resource settings. Bi-State BCB outperformed manual BacT/ALERT bottles, but the agar slant did not allow earlier detection nor earlier colony growth. Time to detection for manual blood culture systems still lags that of automated systems, and research into innovative and affordable methods of growth detection in manual BCBs is encouraged.
Médecins Sans Frontières and Department of Economy, Science and Innovation of the Flemish Government.
手动血培养瓶(BCB)常用于资源匮乏地区。针对BCB的性能评估较少,尤其是将其与自动化系统进行比较的评估。我们评估了两种手动BCB(双州BCB和BacT/ALERT BCB),并将它们的培养物产量及生长检测时间与自动化BacT/ALERT系统进行比较。
将177株临床分离株(代表资源匮乏地区常见的病原体,包括19种细菌和1种酵母菌种)以成人和儿童用量一式三份接种到BCB中,每个BCB系统产生1056个接种后的BCB。每天通过肉眼检查肉汤、琼脂斜面来评估手动BCB中的生长情况,对于BacT/ALERT BCB,还要检查生长指示剂的颜色变化。主要结局指标为BCB产量(接种后显示生长的BCB比例)和检测时间(培养第1天检测到生长的阳性BCB比例)。使用聚类数据的自助法计算产量和第1天生长情况的95%置信区间。次要结局指标为所有BCB的菌落生长时间(定义为从培养到菌落生长到足以用于进一步检测的天数)以及双州BCB在肉汤和琼脂斜面上检测时间的差异。
双州BCB的总体产量为95.9%(95%置信区间93.9 - 98.0),手动BacT/ALERT为95.5%(93.3 - 97.),而自动化BacT/ALERT系统为96.1%(94.0 - 98.1)(p = 0.61)。1013个阳性双州BCB中有920个(90.8%)在第1天生长,1009个阳性手动BacT/ALERT BCB中有757个(75.0%)在第1天生长,而1015个自动化培养瓶中有1008个(99.3%)在第1天生长。在第2天,双州BCB的检测率为100%,手动BacT/ALERT BCB为97.7%,自动化培养瓶为100%。对于双州BCB,生长大多在肉汤和斜面同时出现(81.7%)。在第2天,只有44.1%的双相培养瓶斜面上有足够的菌落生长以进行进一步检测,第3天为59.0%。
手动BCB的产量与自动化系统相当,这表明在资源匮乏地区,手动血培养系统是自动化系统的可接受替代方案。双州BCB的表现优于手动BacT/ALERT瓶,但琼脂斜面既不能实现更早检测,也不能实现更早的菌落生长。手动血培养系统的检测时间仍落后于自动化系统,鼓励开展关于手动BCB中创新且经济实惠的生长检测方法的研究。
无国界医生组织以及弗拉芒政府经济、科学与创新部。