Influence of delayed entry on fastidious bacterium culture in 2 blood culture systems

doi:10.3969/j.issn.1673-8640.2022.03.003

Abstract

Abstract:

Objective To compare the effects of delayed entry on the positive detection rate and time of fastidious bacterium culture in 2 blood culture systems. Methods Simulated blood samples of Streptococcus pneumoniae and Haemophilus influenzae standard isolates with different concentrations were inoculated into BactecPeds Plus and BACT//ALERT PF culture flask at room temperature for 0,8,16 and 24 h,and then they were placed into the above 2 blood culture systems（BACTEC FX and BACT/ALERT 3D）. The culture results and positive times were recorded for statistical analysis. Results After being placed for different periods,positive results were determined in the all simulated blood samples,and the positive time of BACTEC FX was shorter than that of BACT/ALERT 3D（P<0.001）. After the delayed entry for 8,16 and 24 h,the positive time of Streptococcus pneumoniae was longer than that of the sample placed immediately（0 h）（P<0.05）. There were interactions between the delayed entry time,and the concentration,the blood culture systems（P<0.05）. There was no statistical significance in the positive time of Haemophilus influenzae between 0 h and 8 h of delayed entry（P>0.05）,and the delayed entry time,and the concentration,the blood culture systems had no interaction（P>0.05）. Conclusions The positive time of fastidous bacterium increases with the extension of the delayed entry time,which was influenced by multiple factors,such as strain,concentration and blood culture system.

Key words: Fastidous bacterium, Blood culture, Simulated sample, Delayed entry

CLC Number:

R446.5

CHU Minjun, LI Xiaojuan, HUANG Hailin, LI Jue, MA Mingbiao, DU Tingyi, WANG Haiping. Influence of delayed entry on fastidious bacterium culture in 2 blood culture systems[J]. Laboratory Medicine, 2022, 37(3): 209-212.

Figures/Tables 2

References 9

[1]	JIANG Z Q, WANG S D, FENG D D, et al. Epidemiological risk factors for nosocomial bloodstream infections:a four-year retrospective study in China[J]. J Crit Care, 2019, 52:92-96. DOI URL
[2]	石大可, 倪语星, 韩立中, 等.1 852例血培养结果影响因素分析[J]. 检验医学, 2019, 34(4):305-308.
[3]	尹玉瑶, 王启, 陈宏斌, 等. 评价BACTEC和BacT/Alert血培养系统对临床菌血症标本检测能力的回顾性研究[J]. 中华检验医学杂志, 2017, 40(4):303-308.
[4]	孙景勇, 周敏, 倪语星. 延迟放瓶对两种血培养系统BacT/AlERT3D与BACTEC 9120阳性检出率的影响[J]. 中华医院感染学杂志, 2009, 19(16):2210-2212.
[5]	胡付品, 郭燕, 朱德妹, 等. 2018年CHINET中国细菌耐药性监测[J]. 中国感染与化疗杂志, 2020, 20(1):1-10.
[6]	苏敏, 黄海林, 杜廷义, 等. 儿童血培养病原菌分布特征及耐药性分析[J]. 检验医学与临床, 2017, 14(16):2427-2429.
[7]	向成玉. A项BacT/ALERT 3D与B项BACTEC FX的血培养系统比对及性能评价[J]. 实用医院临床杂志, 2017, 14(1):97-99.
[8]	BUTLER-LAPORTE G, YANSOUNI C P, PAQUETTE K, et al. Real-world time to positivity of 2 widely used commercial blood culture systems in patients with severe manifestations of sepsis:an analysis of the FABLED study[J]. Open Forum Infect Dis, 2020, 7(9):ofaa371. DOI URL
[9]	周世娟. 阳性血培养瓶里“失踪”的肺炎链球菌[J]. 中国当代医药, 2017, 24(3):126-128.

延迟放瓶时间	肺炎链球菌		流感嗜血杆菌
延迟放瓶时间	BACTEC FX血培养仪	BACT/ALERT 3D血培养仪	BACTEC FX血培养仪	BACT/ALERT 3D血培养仪
0 h	13.62	17.36	18.05	21.04
10² CFU/mL
10³ CFU/mL	12.22	14.88	16.38	17.76
10⁵ CFU/mL	9.07	8.32	13.27	13.84
8 h	15.19	18.48	18.61	19.60
10² CFU/mL
10³ CFU/mL	13.11	15.76	17.33	18.80
10⁵ CFU/mL	9.70	12.72	13.77	13.92
16 h	15.40	18.40	20.62	22.72
10² CFU/mL
10³ CFU/mL	13.44	16.16	17.66	20.24
10⁵ CFU/mL	10.11	12.48	14.07	15.28
24 h	17.06	19.20	20.02	20.96
10² CFU/mL
10³ CFU/mL	13.63	17.28	17.37	18.80
10⁵ CFU/mL	9.75	12.64	12.88	14.48

延迟放瓶时间	肺炎链球菌		流感嗜血杆菌
延迟放瓶时间	BACTEC FX血培养仪	BACT/ALERT 3D血培养仪	BACTEC FX血培养仪	BACT/ALERT 3D血培养仪
0 h	13.62	17.36	18.05	21.04
10² CFU/mL
10³ CFU/mL	12.22	14.88	16.38	17.76
10⁵ CFU/mL	9.07	8.32	13.27	13.84
8 h	15.19	18.48	18.61	19.60
10² CFU/mL
10³ CFU/mL	13.11	15.76	17.33	18.80
10⁵ CFU/mL	9.70	12.72	13.77	13.92
16 h	15.40	18.40	20.62	22.72
10² CFU/mL
10³ CFU/mL	13.44	16.16	17.66	20.24
10⁵ CFU/mL	10.11	12.48	14.07	15.28
24 h	17.06	19.20	20.02	20.96
10² CFU/mL
10³ CFU/mL	13.63	17.28	17.37	18.80
10⁵ CFU/mL	9.75	12.64	12.88	14.48

因素	肺炎链球菌			流感嗜血杆菌
因素	报阳时间/h	F值	P值	报阳时间/h	F值	P值
培养系统
BACTEC FX血培养仪	12.69±2.55	1 070.246	<0.001	16.70±2.61	20.831	0.001
BACT/ALERT 3D血培养仪	15.31±3.15			18.12±3.09
延迟时间
0 h	12.58±3.26	109.764	<0.001	16.72±2.74	17.609	<0.001
8 h	14.16±2.85^*			17.00±2.46
16 h	14.33±2.77^*			18.43±3.37^*
24 h	14.92±3.39^*			17.41±3.04
菌液浓度
10² CFU/mL	16.84±1.93	2 080.739	<0.001	20.20±1.76	150.505	<0.001
10³ CFU/mL	14.56±1.73			18.04±1.30
10⁵ CFU/mL	10.60±1.69			13.94±0.81
延迟时间×培养系统		8.304	0.005		1.553	0.261
延迟时间×菌液浓度		14.854	<0.001		1.898	0.136
培养系统×菌液浓度		21.226	<0.001		6.991	0.025
延迟时间×培养系统×菌液浓度		31.265	<0.001		5.130	0.018

因素	肺炎链球菌			流感嗜血杆菌
因素	报阳时间/h	F值	P值	报阳时间/h	F值	P值
培养系统
BACTEC FX血培养仪	12.69±2.55	1 070.246	<0.001	16.70±2.61	20.831	0.001
BACT/ALERT 3D血培养仪	15.31±3.15			18.12±3.09
延迟时间
0 h	12.58±3.26	109.764	<0.001	16.72±2.74	17.609	<0.001
8 h	14.16±2.85^*			17.00±2.46
16 h	14.33±2.77^*			18.43±3.37^*
24 h	14.92±3.39^*			17.41±3.04
菌液浓度
10² CFU/mL	16.84±1.93	2 080.739	<0.001	20.20±1.76	150.505	<0.001
10³ CFU/mL	14.56±1.73			18.04±1.30
10⁵ CFU/mL	10.60±1.69			13.94±0.81
延迟时间×培养系统		8.304	0.005		1.553	0.261
延迟时间×菌液浓度		14.854	<0.001		1.898	0.136
培养系统×菌液浓度		21.226	<0.001		6.991	0.025
延迟时间×培养系统×菌液浓度		31.265	<0.001		5.130	0.018

[1]	CHEN Hanlu, WU Shenghai. Influence factors of blood culture negative results and progress of pathogen detection in bloodstream infection [J]. Laboratory Medicine, 2022, 37(7): 688-694.
[2]	YANG Xi, SONG Wenqi, DONG Fang, MENG Qingying, ZHEN Jinghui, ZHOU Wei. Application of Gram staining and MALDI-TOF MS in the rapid identification of pathogen kinds in children's positive blood culture [J]. Laboratory Medicine, 2022, 37(10): 969-973.
[3]	LI Yanchun, TIAN Bin, YUE Na, HU Zhidong. Analysis for distribution and drug resistance of fungemia pathogen from 2014 to 2020 in a Tianjin hospital [J]. Laboratory Medicine, 2021, 36(8): 800-804.
[4]	YU Jiajia, LI Yuanrui, LIU Ying. MALDI-TOF MS combined with SDS and SAP pretreatment for rapid identification of positive blood culture [J]. Laboratory Medicine, 2021, 36(8): 864-868.
[5]	HOU Weiwei, JIANG Lian, LI Dong. Clinical application of matrix-assisted laser desorption ionization time-of-flight mass spectrometry in the direct detection of blood culture positive specimens [J]. Laboratory Medicine, 2021, 36(4): 424-429.
[6]	QIAO Yuli, HUANG Zongshuai, TIAN Yueru, GUAN Ming, JIANG Xiaofei. Primary exploration of rapid identification and drug sensitivity test of cerebrospinal fluid culture by blood culture enrichment method [J]. Laboratory Medicine, 2021, 36(3): 270-274.
[7]	ZHENG Xin, HUANG Qi, XING Shan, TAN Xiaoli, DAI Shuqin, LIU Wanli, LIU Xiaomin. Evaluation of 2 blood cultures' performance with different antibiotic adsorption materials in detecting pathogens on BacT/ALERT system [J]. Laboratory Medicine, 2021, 36(12): 1258-1263.
[8]	SHI Dake, NI Yuxing, HAN Lizhong, XIAO Chenlu. Influence factor analysis on 1 852 cases of blood culture [J]. Laboratory Medicine, 2019, 34(4): 305-308.
[9]	WANG Lejian, SHI Chunjuan, LI Fei, ZHANG Xiwen. Early diagnosis significance of immature granulocyte flag in patients with sepsis [J]. Laboratory Medicine, 2015, 30(3): 238-239.
[10]	CHEN Feng, LI Yuanrui, HUANGFU Yuchan, TAO Xiaoqin, LIU Ying. Direct identification of microorganisms from blood culture by MALDI-TOF MS combined with separation gel tube [J]. Laboratory Medicine, 2015, 30(2): 113-121.
[11]	HUANG Shenglei, HU Bijie, CHEN Rong, ZHOU Chunmei. Rapid identification of Yeast like fungi outside of Candida albicans isolated form blood culture by two MALDI-TOF MS systems [J]. Laboratory Medicine, 2015, 30(2): 128-131.
[12]	WU Fangfang, XU Wen, YANG Leyuan. Analysis on the pathogenic bacterium distribution and drug resistance among 2 418 cases of blood culture [J]. Laboratory Medicine, 2015, 30(2): 163-166.
[13]	HOU Weiwei, XIAO Qianru, JIANG Lian, WAN Haiying. Research on the clinical significance of serum procalcitonin in predicting bacteremia [J]. , 2014, 29(8): 802-805.
[14]	ZHAO Yiwen, ZHU Zhaoqin, CAI Jinfeng, CHEN Haili, WANG Moying, HU Yunwen, ZHANG Jun, ZAI Shubei.. Analysis on the blood culture results of 2 044 blood and body fluid specimens of inpatients from a hospital in Shanghai from January to May, 2011 [J]. , 2014, 29(2): 100-103.
[15]	TANG Jin,WANG Jianqiang,CHEN Yu,GAO Feng. Evaluation on the influence factor on pathogen detection of bloodstream infection by BD BACTEC 9240 automated blood culture system [J]. , 2013, 28(7): 606-610.