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通过保持恒定的成分采样比例来预测在单采血小板中细菌检测的改善。

Predicting improvement in detection of bacteria in apheresis platelets by maintaining constant component sampling proportion.

机构信息

Medical and Scientific Affairs, Blood Services, Inc., Scottsdale, AZ 85257, USA.

出版信息

Transfusion. 2013 Apr;53(4):835-42. doi: 10.1111/j.1537-2995.2012.03821.x. Epub 2012 Jul 31.

Abstract

BACKGROUND

In spite of interventions, approximately 1000 per 1,000,000 platelet (PLT) collections are contaminated with bacteria at collection. The current prestorage culture procedure at some blood centers is to inoculate a fixed volume from the collection bag (4-8 mL) regardless of collection volume. The sensitivity of early testing varies with the percent of collection volume sampled. We applied the Poisson model to determine whether sampling larger volumes might increase detection at pertinent contamination levels.

STUDY DESIGN AND METHODS

The intervention was testing a fixed proportion of the collection volume from single, double, and triple collections. The Poisson model was applied to blood center data to calculate weighted average detection. Model 1 consisted of inoculating 3.2% of the collection volume from single, 1.6% from double, and 1.2% from triple PLT procedures (8 mL in each case). Model 2 consisted of inoculating 3.8% of the collection volume from all PLT procedures. Volume-related and non-volume-related contamination mechanisms were evaluated.

RESULTS

Testing constant proportions of the collection volume (Model 2) increases percent detection over testing constant volumes (Model 1) (68% vs. 41% detection if contamination is 30 colony-forming units (CFUs)/collection bag and 17% vs. 9% detection if contamination is 5 CFUs/collection bag). At low levels of contamination (approx. 5 CFUs/bag), the intervention might double the number of contaminated units detected.

CONCLUSION

Based on the application of the Poisson model to detection of bacteria in PLT concentrates, inoculating cultures with slightly consistent proportions of the collection volume should lead to a reduction in false negative tests and in the number of contaminated units transfused.

摘要

背景

尽管采取了干预措施,但仍有约每 100 万血小板(PLT)采集物中有 1000 个在采集时受到细菌污染。目前,一些血液中心的存储前培养程序是无论采集物的体积如何,都从采集袋中接种固定体积(4-8 毫升)的样本。早期检测的灵敏度因采集物样本的百分比而异。我们应用泊松模型来确定是否增加样本体积可以提高在相关污染水平下的检测率。

研究设计和方法

干预措施是从单采、双采和三采中测试固定比例的采集物体积。泊松模型应用于血液中心的数据,以计算加权平均检测率。模型 1 包括从单采程序中接种采集物体积的 3.2%、从双采程序中接种 1.6%、从三采程序中接种 1.2%(每种情况均为 8 毫升)。模型 2 包括从所有 PLT 程序中接种采集物体积的 3.8%。评估了与体积相关和非体积相关的污染机制。

结果

测试采集物体积的恒定比例(模型 2)比测试恒定体积(模型 1)提高了检测的百分比(如果污染水平为 30 个集落形成单位(CFU)/采集袋,则检测率为 68%比 41%;如果污染水平为 5 CFU/采集袋,则检测率为 17%比 9%)。在低污染水平(约 5 CFU/袋)下,干预措施可能会使检测到的污染单位数量增加一倍。

结论

基于泊松模型在 PLT 浓缩物中细菌检测的应用,接种培养物时稍微一致地采用采集物体积的比例,应该可以减少假阴性检测结果,并减少污染单位的输血数量。

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