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Kansak N, Kalender NZ, Arıcı N, Adaleti R, Aksaray S, Ankaralı H, Gönüllü N. Comparison of intra-assay and inter-assay reproducibility and positive detection times of two different (BacT/Alert 3D and Autobio BC) commercial blood culture systems. Indian J Med Microbiol 2025; 53:100754. [PMID: 39550068 DOI: 10.1016/j.ijmmb.2024.100754] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2024] [Revised: 11/04/2024] [Accepted: 11/11/2024] [Indexed: 11/18/2024]
Abstract
PURPOSE In our study, we aimed to compare the performance of the BacT/Alert 3D (bioMerieux, France) system, which is currently used in our laboratory, and the Autobio BC (Autobio, China) system, which was newly introduced in our country, using standard and clinical isolates. METHODS Bacterial suspension was prepared by two technicians on the same day and three consecutive days from five different standard strains with 0.5 McFarland turbidity, then serial dilution to a final concentration was adjusted and was simultaneously inoculated in aerobic blood culture bottles. The bacterial concentration was measured by making a quantitative counting plate. The same procedure was also performed for 55 clinical isolates belonging to eleven species. After simulated bacteremia with standard and clinical isolates, the growth results were confirmed by inoculation from positive blood culture bottles onto solid medium and identification was made in the next day with MALDI-TOF MS (bioMérieux). In each study, sterile saline and blood was inoculated into the bottles as a negative control to check contamination. Intra-assay and inter-assay reproducibility of recovery rates and detection times of standard strains; recovery rates and detection times of clinical isolates were compared for both systems. RESULTS Recovery rates were 100 % in both systems, and when positive detection times were compared, it was found that there was no difference between the two devices in clinical isolates (p:0.262) but that Autobio BC gave significantly (p < 0.001) earlier results in standard strains. CONCLUSIONS In our simulated bloodstream infection study, Autobio BC was found to be comparable with BacT/Alert 3D, both recovery rates and growth detection time performance were found to be very good, and it can be used in routine microbiology laboratories.
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Affiliation(s)
- Nilgün Kansak
- University of Health Sciences, Haydarpaşa Numune Training and Research Hospital, Laboratory of Medical Microbiology, Istanbul, Turkey.
| | - Nilay Zeynep Kalender
- University of Health Sciences, Haydarpaşa Numune Training and Research Hospital, Laboratory of Medical Microbiology, Istanbul, Turkey.
| | - Neslihan Arıcı
- University of Health Sciences, Haydarpaşa Numune Training and Research Hospital, Laboratory of Medical Microbiology, Istanbul, Turkey.
| | - Rıza Adaleti
- University of Health Sciences, Hamidiye Medical Faculty, Department of Medical Microbiology, Istanbul, Turkey.
| | - Sebahat Aksaray
- University of Health Sciences, Hamidiye Medical Faculty, Department of Medical Microbiology, Istanbul, Turkey.
| | - Handan Ankaralı
- Istanbul Medeniye University, Faculty of Medicine, Biostatistics, Istanbul, Turkey.
| | - Nevriye Gönüllü
- Istanbul University-Cerrahpasa, Cerrahpasa School of Medicine, Department of Medical Microbiology, Istanbul, Turkey.
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2
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Ai G, Zhang Y, Guo K, Zhao L, Li Z, Hai H, Jia E, Liu J. The impact of optimizing microbial diagnosis processes on clinical and healthcare economic outcomes in hospitalized patients with bloodstream infections. Eur J Clin Microbiol Infect Dis 2024; 43:2147-2157. [PMID: 39240272 DOI: 10.1007/s10096-024-04928-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2024] [Accepted: 08/23/2024] [Indexed: 09/07/2024]
Abstract
PURPOSE Bloodstream infections (BSIs) are associated with significant morbidity, mortality and costs, while prolonged blood culture (BC) diagnosis may delay the initiation of targeted therapy. This study evaluates the impact of an optimized microbiology laboratory process on turnaround times, antibiotic use, clinical outcomes and economics for hospitalized BSI patients. METHODS A pre-post study was conducted in a Chinese hospital in which BSI derived BC results before (Oct. 2020- Sep. 2021) and after (Oct. 2021- Sep. 2022) newly implemented microbiology diagnostics and workflow changes were analyzed. Turnaround times, antibiotic initiation, length of stay and in-hospital costs were compared. RESULTS From 213 included patients, 134 were pre-optimization (pre-op) and 79 were post-optimization (post-op) cases. The median time from blood sample collection (BSC) to pathogen identification (ID) decreased from 70.12 to 47.43 h post-op (P < 0.001). The median time from BSC to the first ID report related initiation of pathogen-directed antibiotic use decreased from 88.48 to 47.85 h post-op (P < 0.001). The average hospital stay decreased from 19.54 to 16.79 days and 30-day readmissions declined from 18.7 to 13.9%, while the mean total antimicrobial drug usage costs decreased by 3,889 CNY per patient (P = 0.022) after optimization. CONCLUSIONS Implementing new diagnostics technologies and optimizing laboratory workflows significantly reduced antimicrobial drug usage costs, shortened the time to ID results and improved the timeliness of appropriate antibiotic choices to treat BSIs. Investments in faster testing and process improvements were clearly beneficial for patient outcomes and healthcare economics.
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Affiliation(s)
- Genwei Ai
- Department of Laboratory Medicine, Xuchang Central Hospital, No. 666 Wenxuan Street, Xuchang, 461000, China.
| | - Ying Zhang
- Department of Laboratory Medicine, Xuchang Central Hospital, No. 666 Wenxuan Street, Xuchang, 461000, China
| | - Kunshan Guo
- Department of Laboratory Medicine, Xuchang Central Hospital, No. 666 Wenxuan Street, Xuchang, 461000, China
| | - Lu Zhao
- Department of Laboratory Medicine, Xuchang Central Hospital, No. 666 Wenxuan Street, Xuchang, 461000, China
| | - Zhi Li
- Department of Laboratory Medicine, Xuchang Central Hospital, No. 666 Wenxuan Street, Xuchang, 461000, China
| | - He Hai
- Department of Laboratory Medicine, Xuchang Central Hospital, No. 666 Wenxuan Street, Xuchang, 461000, China
| | - Erjuan Jia
- Department of Laboratory Medicine, Xuchang Central Hospital, No. 666 Wenxuan Street, Xuchang, 461000, China
| | - Junying Liu
- Department of Laboratory Medicine, Xuchang Central Hospital, No. 666 Wenxuan Street, Xuchang, 461000, China
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Hang Y, Xiong J, Hu L, Chen Y, Zou S, Fang X, Xiao Y, Cao X, Lou H, Li X, Liu Y, Zhong Q. Comparison and evaluation of neutralization of clinically frequently used antimicrobial agents using three different culture media in simulated blood cultures. Microbiol Spectr 2024; 12:e0097924. [PMID: 39189760 PMCID: PMC11448418 DOI: 10.1128/spectrum.00979-24] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2024] [Accepted: 08/02/2024] [Indexed: 08/28/2024] Open
Abstract
The performance of BACT/ALERT FA/FN Plus (France) blood culture containing a novel resin, DL (China) blood culture containing common resin, and adsorbent-free REDOX (USA) blood culture relying on dilution for antimicrobial neutralization at %peak serum concentration was evaluated by measuring the recovery of organisms and time to detection (TTD) in nine simulated microorganism-antimicrobial combination blood cultures. Significant differences were observed in the recovery rates among the aerobic media: 87.5% for BACT/ALERT media, 42.9% for DL media, and 12.5% for REDOX media. In contrast, no statistical difference was found in the TTD between FA Plus media and DL aerobic media. For the anaerobic media, the recovery rates were 91.4% for BACT/ALERT media, 2.9% for DL media, and 14.3% for REDOX media, with significant differences only between BACT/ALERT FN Plus media and the others. Among the seven main antimicrobial categories, only BACT/ALERT FA/FN Plus culture media demonstrated high recovery of microorganisms, with the exception of carbapenems. The DL culture media exhibited a relatively high recovery rate of microorganisms in the presence of piperacillin/tazobactam, levofloxacin, and gentamicin, but only in aerobic conditions. Conversely, REDOX media displayed microorganism recovery solely in the presence of gentamicin. BACT/ALERT FA/FN Plus culture media with novel resin showed absolute advantages over DL and REDOX culture media and can, therefore, be selectively applied in clinical settings when antimicrobials are used prior to blood collection. DL culture media, containing common resin, outperformed adsorbent-free dilution-based REDOX culture media, making it a viable backup option. There is a need to focus on improving the neutralization of carbapenems with current inefficiency in all three medias. IMPORTANCE We present a study on performance comparison of three different commercial culture media for neutralization of antibiotic effects in simulated blood cultures. BACT/ALERT (FA Plus and FN Plus) culture media with novel resin showed absolute advantages over DL and REDOX culture media at %PSL concentration of antimicrobials.
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Affiliation(s)
- Yaping Hang
- Jiangxi Province Key Laboratory of Immunology and Inflammation, Jiangxi Provincial Clinical Research Center for Laboratory Medicine, Department of Clinical Laboratory, The 2nd Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China
| | - Jianqiu Xiong
- Intravenous Medication Dispensing Center, The 2nd Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China
| | - Longhua Hu
- Jiangxi Province Key Laboratory of Immunology and Inflammation, Jiangxi Provincial Clinical Research Center for Laboratory Medicine, Department of Clinical Laboratory, The 2nd Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China
| | - Yanhui Chen
- Jiangxi Province Key Laboratory of Immunology and Inflammation, Jiangxi Provincial Clinical Research Center for Laboratory Medicine, Department of Clinical Laboratory, The 2nd Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China
| | - Shan Zou
- Jiangxi Province Key Laboratory of Immunology and Inflammation, Jiangxi Provincial Clinical Research Center for Laboratory Medicine, Department of Clinical Laboratory, The 2nd Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China
| | - Xueyao Fang
- Jiangxi Province Key Laboratory of Immunology and Inflammation, Jiangxi Provincial Clinical Research Center for Laboratory Medicine, Department of Clinical Laboratory, The 2nd Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China
| | - Yanping Xiao
- Jiangxi Province Key Laboratory of Immunology and Inflammation, Jiangxi Provincial Clinical Research Center for Laboratory Medicine, Department of Clinical Laboratory, The 2nd Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China
| | - Xingwei Cao
- Jiangxi Province Key Laboratory of Immunology and Inflammation, Jiangxi Provincial Clinical Research Center for Laboratory Medicine, Department of Clinical Laboratory, The 2nd Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China
| | - Hong Lou
- Jiangxi Province Key Laboratory of Immunology and Inflammation, Jiangxi Provincial Clinical Research Center for Laboratory Medicine, Department of Clinical Laboratory, The 2nd Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China
| | - Xiuzhen Li
- Jiangxi Province Key Laboratory of Immunology and Inflammation, Jiangxi Provincial Clinical Research Center for Laboratory Medicine, Department of Clinical Laboratory, The 2nd Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China
| | - Yanhua Liu
- Jiangxi Province Key Laboratory of Immunology and Inflammation, Jiangxi Provincial Clinical Research Center for Laboratory Medicine, Department of Clinical Laboratory, The 2nd Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China
| | - Qiaoshi Zhong
- Jiangxi Province Key Laboratory of Immunology and Inflammation, Jiangxi Provincial Clinical Research Center for Laboratory Medicine, Department of Clinical Laboratory, The 2nd Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China
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Aydemir Ö, Ormanoğlu G, Köroğlu M, Aydemir Y. Comparison of time-to-detection of Mindray TDR and BacT/ALERT®3D blood culture systems using simulated blood cultures. Acta Clin Belg 2024:1-6. [PMID: 39007879 DOI: 10.1080/17843286.2024.2376224] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2023] [Accepted: 06/29/2024] [Indexed: 07/16/2024]
Abstract
PURPOSE Blood culture (BC) is the standard for diagnosing bloodstream infections. Available blood culture (BC) systems have been developed to shorten the time to detection (TTD) of positive BCs. This study aimed to evaluate the performance of the Mindray TDR automatic BC system by comparing it with the BacT/ALERT®3D system. METHODS Sixteen reference strains and 14 clinical isolates were used. Serial dilutions were prepared from all bacterial and yeast colonies with a final concentration of 100 CFU/ml and 10 CFU/ml. The prepared solutions were simultaneously inoculated into the bottles of both systems and placed in blood culture devices. RESULTS Three hundred and fifty-two (176 BacT/ALERT®3D and 176 Mindray TDR-X060) blood culture bottles were evaluated, 336 aerobic and 16 anaerobic. At both 10 CFU/ml and 100 CFU/ml dilution, there was no significant difference between the two systems in terms of mean detection times for all isolates (p = 0.965, p = 0.245). When evaluated according to the type of organism, the detection time of gram-positive bacteria at 10 CFU/ml dilution was significantly shorter in the BacT/ALERT system (p = 0.019), whereas detection time for yeasts was significantly shorter with the Mindray system (p = 0.047). The number of anaerobic bacteria was too small to draw statistical conclusions, but we observed a trend of shorter detection times in the Mindray TDR-X060 system. CONCLUSION Two systems with similar operating principles showed different concentrations-dependent performances in terms of positivity detection times depending on the type of microorganism. Mindray TDR-X060 system has been found to be safe to use at high concentrations with this at lower concentrations further comparative studies are needed on the newly introduced Mindray system.
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Affiliation(s)
- Özlem Aydemir
- Department of Medical Microbiology, Faculty of Medicine, Sakarya University, Sakarya, Turkey
| | - Gökçen Ormanoğlu
- Department of Medical Microbiology, Faculty of Medicine, Sakarya University, Sakarya, Turkey
| | - Mehmet Köroğlu
- Department of Medical Microbiology, Faculty of Medicine, Sakarya University, Sakarya, Turkey
| | - Yusuf Aydemir
- Department of Pulmonology, Faculty of Medicine, Sakarya University, Sakarya, Turkey
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Jhaveri TA, Weiss ZF, Winkler ML, Pyden AD, Basu SS, Pecora ND. A decade of clinical microbiology: top 10 advances in 10 years: what every infection preventionist and antimicrobial steward should know. ANTIMICROBIAL STEWARDSHIP & HEALTHCARE EPIDEMIOLOGY : ASHE 2024; 4:e8. [PMID: 38415089 PMCID: PMC10897726 DOI: 10.1017/ash.2024.10] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/06/2023] [Revised: 12/22/2023] [Accepted: 12/28/2023] [Indexed: 02/29/2024]
Abstract
The past 10 years have brought paradigm-shifting changes to clinical microbiology. This paper explores the top 10 transformative innovations across the diagnostic spectrum, including not only state of the art technologies but also preanalytic and post-analytic advances. Clinical decision support tools have reshaped testing practices, curbing unnecessary tests. Innovations like broad-range polymerase chain reaction and metagenomic sequencing, whole genome sequencing, multiplex molecular panels, rapid phenotypic susceptibility testing, and matrix-assisted laser desorption ionization time-of-flight mass spectrometry have all expanded our diagnostic armamentarium. Rapid home-based testing has made diagnostic testing more accessible than ever. Enhancements to clinician-laboratory interfaces allow for automated stewardship interventions and education. Laboratory restructuring and consolidation efforts are reshaping the field of microbiology, presenting both opportunities and challenges for the future of clinical microbiology laboratories. Here, we review key innovations of the last decade.
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Affiliation(s)
- Tulip A. Jhaveri
- Division of Infectious Diseases, University of Mississippi Medical Center, Jackson, MS, USA
| | - Zoe Freeman Weiss
- Division of Pathology and Laboratory Medicine, Tufts Medical Center, Boston, MA, USA
- Division of Geographic Medicine & Infectious Disease, Tufts Medical Center, Boston, MA, USA
| | - Marisa L. Winkler
- Division of Infectious Diseases, Emory University School of Medicine, Atlanta, GA, USA
| | - Alexander D. Pyden
- Division of Pathology and Laboratory Medicine, Lahey Hospital and Medical Center, Burlington, MA, USA
- Department of Anatomic and Clinical Pathology, Tufts University School of Medicine, Boston, MA, USA
| | - Sankha S. Basu
- Division of Pathology and Laboratory Medicine, Tufts Medical Center, Boston, MA, USA
| | - Nicole D. Pecora
- Department of Pathology, Brigham and Women’s Hospital, Boston, MA, USA
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6
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Chen Y, Dai Y, Zhou Y, Huang Y, Jin Y, Geng Y, Ji B, Xu R, Zhu W, Hu S, Li Z, Liang J, Xiao Y. Improving Blood Culture Quality with a Medical Staff Educational Program: A Prospective Cohort Study. Infect Drug Resist 2023; 16:3607-3617. [PMID: 37309379 PMCID: PMC10257920 DOI: 10.2147/idr.s412348] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2023] [Accepted: 05/24/2023] [Indexed: 06/14/2023] Open
Abstract
Purpose Blood cultures (BCs) are essential laboratory tests for diagnosing blood stream infections. BC diagnostic improvement depends on several factors during the preanalytical phase outside of innovative technologies. In order to evaluate the impact of an educational program on BC quality improvement, a total of 11 hospitals across China were included from June 1st 2020 to January 31st 2021. Methods Each hospital recruited 3 to 4 wards to participate. The project was divided into three different periods, pre-implementation (baseline), implementation (educational activities administered to the medical staff) and post-implementation (experimental group). The educational program was led by hospital microbiologists and included professional presentations, morning meetings, academic salons, seminars, posters and procedural feedback. Results The total number of valid BC case report forms was 6299, including 2739 sets during the pre-implementation period and 3560 sets during the post-implementation period. Compared with the pre-implementation period, some indicators, such as the proportion of patients who had 2 sets or more, volume of blood cultured, and BC sets per 1000 patient days, were improved in the post-implementation period (61.2% vs 49.8%, 18.56 vs 16.09 sets, and 8.0 vs 9.0mL). While BC positivity and contamination rates did not change following the educational intervention (10.44% vs 11.97%, 1.86% vs 1.94%, respectively), the proportion of coagulase negative staphylococci-positive samples decreased in BSI patients (6.87% vs 4.28%). Conclusion Therefore, medical staff education can improve BC quality, especially increasing volume of blood cultured as the most important variable to determine BC positivity, which may lead to improved BSI diagnosis.
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Affiliation(s)
- Yunbo Chen
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, People’s Republic of China
- Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou, People’s Republic of China
| | - Yuanyuan Dai
- Clinical Laboratory, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, People’s Republic of China
| | - Yizheng Zhou
- Clinical Laboratory, Jingzhou Central Hospital, Jingzhou, People’s Republic of China
| | - Ying Huang
- Clinical Laboratory, First Affiliated Hospital of Anhui Medical University, Hefei, People’s Republic of China
| | - Yan Jin
- Clinical Laboratory, Shandong Provincial Hospital, Jinan, People’s Republic of China
| | - Yan Geng
- Clinical Laboratory, The Second Affiliated Hospital of Xi’an Jiaotong University, Xi’an, People’s Republic of China
| | - Bing Ji
- Clinical Laboratory, Affiliated Hospital of Binzhou Medical College, Binzhou, People’s Republic of China
| | - Rong Xu
- Clinical Laboratory, People’s Hospital of Yichun City, Yichun, People’s Republic of China
| | - Wencheng Zhu
- Clinical Laboratory, Lu’an Civil Hospital, Lu’an, People’s Republic of China
| | - Shuyan Hu
- Clinical Laboratory, People’s Hospital of Qingyang, Qingyang, People’s Republic of China
| | - Zhuo Li
- Clinical Laboratory, The First Affiliated Hospital of Xi’an Medical University, Xi’an, People’s Republic of China
| | - Jinhua Liang
- Clinical Laboratory, The Affiliated Hongqi Hospital of Mudanjiang Medicine College, Mudanjiang, People’s Republic of China
| | - Yonghong Xiao
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, People’s Republic of China
- Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou, People’s Republic of China
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7
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Cantey JB, Prusakov P. A Proposed Framework for the Clinical Management of Neonatal "Culture-Negative" Sepsis. J Pediatr 2022; 244:203-211. [PMID: 35074307 DOI: 10.1016/j.jpeds.2022.01.006] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/09/2021] [Revised: 12/17/2021] [Accepted: 06/12/2022] [Indexed: 01/08/2023]
Affiliation(s)
- Joseph B Cantey
- Divisions of Neonatology and Allergy, Immunology, and Infectious Diseases, Department of Pediatrics, University of Texas Health San Antonio, San Antonio, TX.
| | - Pavel Prusakov
- Department of Pharmacy, Nationwide Children's Hospital, Columbus, OH
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Péan de Ponfilly G, Benmansour H, Manda V, Lecorche E, Mougari F, Munier AL, Temim S, Amarsy R, Jacquier H, Cambau E. Impact of 24/7 loading of blood culture bottles in a new automated incubator on the diagnosis of bloodstream infections. Eur J Clin Microbiol Infect Dis 2021; 40:2639-2643. [PMID: 34059934 DOI: 10.1007/s10096-021-04283-6] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2021] [Accepted: 05/27/2021] [Indexed: 11/30/2022]
Abstract
Blood culturing (BC) remains the gold standard for bloodstream diagnosis but its workflow is slow. We aimed reducing this time by implementing a new automated incubator with a 24/7 BC workflow. With this new strategy, time to incubation was shorter (1.52 h vs 6.82 h), positivity rates were higher (10.6% vs 8.9%, p<0.05), and the number of BSI diagnostics increased (16.1% vs 13.8% patients and 2.3 vs 1.9 density episode per 1000 hospital days). Our results show that implementing automatic loading of BC bottles with a 24/7 strategy not only shortened time to diagnosis but significantly increased the BSI diagnosis rate.
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Affiliation(s)
- Gauthier Péan de Ponfilly
- Laboratoire de Microbiologie, BioGem, APHP Nord, Hôpitaux Lariboisière - Fernand Widal, 75014, Paris, France.
| | - H Benmansour
- Laboratoire de Microbiologie, BioGem, APHP Nord, Hôpitaux Lariboisière - Fernand Widal, 75014, Paris, France
| | - V Manda
- Department of Infectious Diseases, Saint Louis - Lariboisière - Fernand Widal University Hospital, APHP, Paris, France
| | - E Lecorche
- Laboratoire de Microbiologie, BioGem, APHP Nord, Hôpitaux Lariboisière - Fernand Widal, 75014, Paris, France.,Université de Paris, INSERM, UMR1137, IAME, Paris, France
| | - F Mougari
- Laboratoire de Microbiologie, BioGem, APHP Nord, Hôpitaux Lariboisière - Fernand Widal, 75014, Paris, France
| | - A L Munier
- Department of Infectious Diseases, Saint Louis - Lariboisière - Fernand Widal University Hospital, APHP, Paris, France
| | - S Temim
- Laboratoire de Microbiologie, BioGem, APHP Nord, Hôpitaux Lariboisière - Fernand Widal, 75014, Paris, France
| | - R Amarsy
- Equipe opérationnelle d'Hygiène hospitalière, APHP Nord, Hôpitaux Lariboisière - Fernand Widal, Paris, France
| | - H Jacquier
- Laboratoire de Microbiologie, BioGem, APHP Nord, Hôpitaux Lariboisière - Fernand Widal, 75014, Paris, France.,Université de Paris, INSERM, UMR1137, IAME, Paris, France
| | - E Cambau
- Laboratoire de Microbiologie, BioGem, APHP Nord, Hôpitaux Lariboisière - Fernand Widal, 75014, Paris, France.,Université de Paris, INSERM, UMR1137, IAME, Paris, France
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