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Michels R, Papan C, Boutin S, Alhussein F, Becker SL, Nurjadi D, Last K. Clinical relevance of Staphylococcus saccharolyticus detection in human samples: a retrospective cohort study. Infection 2024:10.1007/s15010-024-02334-6. [PMID: 38963607 DOI: 10.1007/s15010-024-02334-6] [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: 02/12/2024] [Accepted: 06/25/2024] [Indexed: 07/05/2024]
Abstract
PURPOSE To characterize the clinical relevance of S. saccharolyticus and to identify criteria to distinguish between infection and contamination. METHODS We retrospectively investigated clinical features of patients with S. saccharolyticus detection between June 2009 and July 2021. Based on six criteria, infection was considered likely for patients with a score from 3 to 6 points, infection was considered unlikely for patients with a score from 0 to 2 points. We performed group comparison and logistic regression to identify factors than are associated with likely infection. In addition, whole genome sequencing (WGS) of 22 isolates was performed. RESULTS Of 93 patients in total, 44 were assigned to the group "infection likely" and 49 to the group "infection unlikely". Multiple regression analysis revealed "maximum body temperature during hospital stay" to have the strongest predictive effect on likely infection (adjusted odds ratio 4.40, 95% confidence interval 2.07-9.23). WGS revealed two different clades. Compared to isolates from clade A, isolates from clade B were more frequently associated with implanted medical devices (3/10 vs. 9/12, p = 0.046) and a shorter time to positivity (TTP) (4.5 vs. 3, p = 0.016). Both clades did neither differ significantly in terms of causing a likely infection (clade A 7/10 vs. clade B 5/12, p = 0.23) nor in median length of hospital stay (28 vs. 15.5 days, p = 0.083) and length of stay at the ICU (21 vs. 3.5 days, p = 0.14). CONCLUSION These findings indicate that S. saccharolyticus can cause clinically relevant infections. Differentiation between infection and contamination remains challenging.
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Affiliation(s)
- Ricarda Michels
- Center for Infectious Diseases, Institute of Medical Microbiology and Hygiene, Saarland University, Homburg, Germany
| | - Cihan Papan
- Center for Infectious Diseases, Institute of Medical Microbiology and Hygiene, Saarland University, Homburg, Germany.
- Institute for Hygiene and Public Health, University Hospital Bonn, Venusberg-Campus 1, Bonn, Germany.
| | - Sébastien Boutin
- Department of Infectious Diseases, Medical Microbiology and Hospital Hygiene, University Hospital Heidelberg, Heidelberg, Germany
- Department of Infectious Diseases and Microbiology, University of Lübeck and University Hospital Schleswig-Holstein Campus Lübeck, Lübeck, Germany
- Airway Research Center North (ARCN), German center for Lung Research (DZL), Lübeck, Germany
| | - Farah Alhussein
- Center for Infectious Diseases, Institute of Medical Microbiology and Hygiene, Saarland University, Homburg, Germany
| | - Sören L Becker
- Center for Infectious Diseases, Institute of Medical Microbiology and Hygiene, Saarland University, Homburg, Germany
| | - Dennis Nurjadi
- Department of Infectious Diseases, Medical Microbiology and Hospital Hygiene, University Hospital Heidelberg, Heidelberg, Germany
- Department of Infectious Diseases and Microbiology, University of Lübeck and University Hospital Schleswig-Holstein Campus Lübeck, Lübeck, Germany
- German Center for Infection Research (DZIF), Partner Site Hamburg-Lübeck-Borstel-Riems, Lübeck, Germany
| | - Katharina Last
- Center for Infectious Diseases, Institute of Medical Microbiology and Hygiene, Saarland University, Homburg, Germany
- Institute for Hygiene and Public Health, University Hospital Bonn, Venusberg-Campus 1, Bonn, Germany
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Elsallab M, Bourgeois F, Maus MV. National Survey of FACT-Accredited Cell Processing Facilities: Assessing Preparedness for Local Manufacturing of Immune Effector Cells. Transplant Cell Ther 2024; 30:626.e1-626.e11. [PMID: 38494077 DOI: 10.1016/j.jtct.2024.03.016] [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: 01/23/2024] [Revised: 03/05/2024] [Accepted: 03/14/2024] [Indexed: 03/19/2024]
Abstract
The utilization of the human immune system as a therapeutic modality has materialized in the form of novel biologics known as immune effector cells (IECs). However, currently approved IECs rely on autologous cells for manufacturing that are funneled through costly centralized supply chains leading to long wait times and potentially increased mortality. Alternative models for manufacturing at or near the point-of-care in a distributed and local approach are being proposed to overcome such a bottleneck. Cell processing facilities for minimally manipulated products, as well as academic good manufacturing practice facilities, are being considered for such manufacturing tasks. However, the infrastructure and the practices of these facilities remains unstudied. Here, we surveyed the cell processing facilities accredited by the Foundation for Accreditation of Cellular Therapy (FACT) in the United States to better understand their preparedness for local manufacturing of IECs. A structured survey consisting of 40 items was distributed to the directors of 157 facilities. The survey evaluated 6 domains, including facility characteristics, quality practices, personnel, use of automation, experience with IECs, and the perception of the point-of-care model. Thirty-eight facilities completed the survey (24.2%). Most facilities were involved in handling IEC products (35/38, 92.1%), and the majority had infrastructure to support basic operations and quality control such as viability (36/36, 100%), identity (33/36, 91.7%), and sterility (33/36, 91.7%). The quality practices varied among the facilities depending on the types of products processed. A slight majority implemented automation in their workflows (22/38, 57.9%). Facilities expressed a general interest in adopting point-of-care models (23/38, 61%), with financial and human resources identified as the most significant constraints. In conclusion, FACT-accredited cell processing facilities may provide the infrastructure required for local manufacturing. However, there is a need for standardization and minimum quality requirements to effectively implement such models.
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Affiliation(s)
- Magdi Elsallab
- Harvard-MIT Center for Regulatory Science, Harvard Medical School, Boston, Massachusetts; Cellular Immunotherapy Program, Cancer Center, Massachusetts General Hospital, Boston, Massachusetts; Harvard Medical School, Boston, Massachusetts
| | - Florence Bourgeois
- Harvard-MIT Center for Regulatory Science, Harvard Medical School, Boston, Massachusetts; Harvard Medical School, Boston, Massachusetts; Computational Health Informatics Program, Boston Children's Hospital, Boston, Massachusetts; Department of Pediatrics, Harvard Medical School, Boston, Massachusetts
| | - Marcela V Maus
- Cellular Immunotherapy Program, Cancer Center, Massachusetts General Hospital, Boston, Massachusetts; Harvard Medical School, Boston, Massachusetts; Cancer Center, Massachusetts General Hospital, Boston, Massachusetts.
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Palavecino EL, Campodónico VL, She RC. Laboratory approaches to determining blood culture contamination rates: an ASM Laboratory Practices Subcommittee report. J Clin Microbiol 2024; 62:e0102823. [PMID: 38051070 PMCID: PMC10865823 DOI: 10.1128/jcm.01028-23] [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] [Indexed: 12/07/2023] Open
Abstract
Blood culture contamination (BCC) is the presence of specific commensal and environmental organisms cultivated from a single blood culture set out of a blood culture series and that do not represent true bacteremia. BCC can impact quality of care and lead to negative outcomes, unnecessary antibiotic exposure, prolonged hospital stays, and substantial costs. As part of the laboratory's quality management plan, microbiology laboratory personnel are tasked with monitoring BCC rates, preparing BCC rate reports, and providing feedback to the appropriate committees within their healthcare system. The BCC rate is calculated by the laboratory using pre-set criteria. However, pre-set criteria are not universally defined and depend on the individual institution's patient population and practices. This mini-review provides practical recommendations on elaborating BCC rate reports, the parameters to define for the pre-set criteria, how to collect and interpret the data, and additional analysis to include in a BCC report.
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Affiliation(s)
- Elizabeth L. Palavecino
- Department of Pathology, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA
| | - Victoria L. Campodónico
- Department of Pathology, Division of Medical Microbiology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Rosemary C. She
- Department of Pathology, Keck School of Medicine of the University of Southern California, Los Angeles, California, USA
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Xu J, Yuan Y, Wang B, Zhang Q, Wang J, Wang S, Li Y, Yan W. Microbiological Analysis and Mortality Risk Factors in Patients with Polymicrobial Bloodstream Infections. Infect Drug Resist 2023; 16:3917-3927. [PMID: 37361937 PMCID: PMC10290474 DOI: 10.2147/idr.s412669] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2023] [Accepted: 06/12/2023] [Indexed: 06/28/2023] Open
Abstract
Purpose To study the etiological characteristics and risk factors affecting the prognosis of patients with polymicrobial bloodstream infections. Patients and Methods Overall, 141 patients with polymicrobial bloodstream infections in Henan Provincial People's Hospital during 2021 were included. Laboratory test indexes, department of admission, sex, age, intensive care unit (ICU) admission, surgical history, and central venous catheter placement were collected. Patients were divided into surviving and deceased groups based on outcomes at discharge. Mortality risk factors were identified by univariate and multivariable analyses. Results Seventy-two of 141 patients survived. Patients were mainly from the ICU and the Departments of Hepatobiliary Surgery and Hematology. Overall, 312 microbial strains were detected: 119 gram-positive, 152 gram-negative, and 13 anaerobic bacteria and 28 fungi. Among the gram-positive bacteria, coagulase-negative staphylococci were most frequent (44/119, 37%), followed by enterococci (35/119, 29.4%). Among coagulase-negative staphylococci, methicillin-resistant coagulase-negative staphylococci incidence was 75% (33/44). Among gram-negative bacteria, Klebsiella pneumoniae was most common (45/152, 29.6%), followed by Escherichia coli (25/152, 16.4%) and Pseudomonas aeruginosa (13/152, 8.6%). Among K. pneumoniae, the incidence of carbapenem-resistant (CR) K. pneumoniae was 45.7% (21/45). On univariate analysis, mortality risk factors included increased white blood cells and C-reactive protein, decreased total protein and albumin, CR strains, ICU admission, central venous catheter, multiple organ failure, sepsis, shock, pulmonary diseases, respiratory failure, central nervous system diseases, cardiovascular diseases, hypoproteinemia, and electrolyte disturbances (P < 0.05). Multivariable analysis showed that ICU admission, shock, electrolyte disorders, and central nervous system diseases were independent mortality risk factors. The survival curve shows that the survival rate of patients with polymicrobial CR bloodstream infections was lower than that of patients with polymicrobial non-CR bloodstream infections (P=0.029). Conclusion Patients with polymicrobial bloodstream infections are typically critically ill and harbor multidrug-resistant bacteria. Thus, to minimize mortality rate in critically ill patients, changes in infectious flora should be monitored, antibiotics selected reasonably, and invasive procedures reduced.
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Affiliation(s)
- Junhong Xu
- Department of Clinical Laboratory, Henan Provincial People’s Hospital, People’s Hospital of Zhengzhou University, and People’s Hospital of Henan University, Zhengzhou, Henan, 450003, People’s Republic of China
| | - Youhua Yuan
- Department of Clinical Laboratory, Henan Provincial People’s Hospital, People’s Hospital of Zhengzhou University, and People’s Hospital of Henan University, Zhengzhou, Henan, 450003, People’s Republic of China
| | - Baoya Wang
- Department of Clinical Laboratory, Henan Provincial People’s Hospital, People’s Hospital of Zhengzhou University, and People’s Hospital of Henan University, Zhengzhou, Henan, 450003, People’s Republic of China
| | - Qi Zhang
- Department of Clinical Laboratory, Henan Provincial People’s Hospital, People’s Hospital of Zhengzhou University, and People’s Hospital of Henan University, Zhengzhou, Henan, 450003, People’s Republic of China
| | - Jing Wang
- Xinyang Third People’s Hospital, Xinyang, Henan, 464000, People’s Republic of China
| | - Shanmei Wang
- Department of Clinical Laboratory, Henan Provincial People’s Hospital, People’s Hospital of Zhengzhou University, and People’s Hospital of Henan University, Zhengzhou, Henan, 450003, People’s Republic of China
| | - Yi Li
- Department of Clinical Laboratory, Henan Provincial People’s Hospital, People’s Hospital of Zhengzhou University, and People’s Hospital of Henan University, Zhengzhou, Henan, 450003, People’s Republic of China
| | - Wenjuan Yan
- Department of Clinical Laboratory, Henan Provincial People’s Hospital, People’s Hospital of Zhengzhou University, and People’s Hospital of Henan University, Zhengzhou, Henan, 450003, People’s Republic of China
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Bacterial Epidemiology and Antimicrobial Resistance Profiles in Children Reported by the ISPED Program in China, 2016 to 2020. Microbiol Spectr 2021; 9:e0028321. [PMID: 34730410 PMCID: PMC8567242 DOI: 10.1128/spectrum.00283-21] [Citation(s) in RCA: 44] [Impact Index Per Article: 14.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022] Open
Abstract
The Infectious Disease Surveillance of Pediatrics (ISPED) program was established in 2015 to monitor and analyze the trends of bacterial epidemiology and antimicrobial resistance (AMR) in children. Clinical bacterial isolates were collected from 11 tertiary care children’s hospitals in China in 2016 to 2020. Antimicrobial susceptibility testing was carried out using the Kirby-Bauer method or automated systems, with interpretation according to the Clinical and Laboratory Standards Institute 2019 breakpoints. A total of 288,377 isolates were collected, and the top 10 predominant bacteria were Escherichia coli, Streptococcus pneumoniae, Staphylococcus aureus, Haemophilus influenzae, Klebsiella pneumoniae, Moraxella catarrhalis, Streptococcus pyogenes, Staphylococcus epidermidis, Pseudomonas aeruginosa, and Acinetobacter baumannii. In 2020, the coronavirus disease 2019 (COVID-19) pandemic year, we observed a significant reduction in the proportion of respiratory tract samples (from 56.9% to 44.0%). A comparable reduction was also seen in the primary bacteria mainly isolated from respiratory tract samples, including S. pneumoniae, H. influenzae, and S. pyogenes. Multidrug-resistant organisms (MDROs) in children were commonly observed and presented higher rates of drug resistance than sensitive strains. The proportions of carbapenem-resistant K. pneumoniae (CRKP), carbapenem-resistant A. baumannii (CRAB), carbapenem-resistant P. aeruginosa (CRPA), and methicillin-resistant S. aureus (MRSA) strains were 19.7%, 46.4%%, 12.8%, and 35.0%, respectively. The proportions of CRKP, CRAB, and CRPA strains all showed decreasing trends between 2015 and 2020. Carbapenem-resistant Enterobacteriaceae (CRE) and CRPA gradually decreased with age, while CRAB showed the opposite trend with age. Both CRE and CRPA pose potential threats to neonates. MDROs show very high levels of AMR and have become an urgent threat to children, suggesting that effective monitoring of AMR and antimicrobial stewardship among children in China are required. IMPORTANCE AMR, especially that involving multidrug-resistant organisms (MDROs), is recognized as a global threat to human health; AMR renders infections increasingly difficult to treat, constituting an enormous economic burden and producing tremendous negative impacts on patient morbidity and mortality rates. There are many surveillance programs in the world to address AMR profiles and MDRO prevalence in humans. However, published studies evaluating the overall AMR rates or MDRO distributions in children are very limited or are of mixed quality. In this study, we showed the bacterial epidemiology and resistance profiles of primary pathogens in Chinese children from 2016 to 2020 for the first time, analyzed MDRO distributions with time and with age, and described MDROs’ potential threats to children, especially low-immunity neonates. Our study will be very useful to guide antiinfection therapy in Chinese children, as well as worldwide pediatric patients.
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Kao CY, Wu HH, Chang SC, Lin LC, Liu TP, Lu JJ. Accurate detection of oxacillin-resistant Staphylococcus lugdunensis by use of agar dilution. JOURNAL OF MICROBIOLOGY, IMMUNOLOGY, AND INFECTION = WEI MIAN YU GAN RAN ZA ZHI 2021; 55:234-240. [PMID: 33836942 DOI: 10.1016/j.jmii.2021.02.009] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/02/2020] [Revised: 02/21/2021] [Accepted: 02/28/2021] [Indexed: 01/29/2023]
Abstract
BACKGROUND/PURPOSE Staphylococcus lugdunensis is a Gram-positive coagulase-negative bacterium and is recognized as a critical pathogenic species recently. Here, we aimed to evaluate the cefoxitin disk diffusion (CDD), oxacillin agar dilution (OAD), and mecA PCR for detecting oxacillin-resistant S. lugdunensis (ORSL) isolates. METHODS Multilocus sequence typing (MLST) analysis was performed to determine the clonality of 117 S. lugdunensis isolates isolated between May 2009 and Jul 2014. CDD, OAD, and mecA PCR were used to identify oxacillin-resistant S. lugdunensis (ORSL). RESULTS MLST results showed that the most common sequence type (ST) of our S. lugdunensis isolates was ST6 (35.9%) followed by ST3 (28.2%), ST27 (17.9%), and ST4 (6.8%). CDD and OAD showed that 39 and 43 isolates were ORSL, respectively. 4 ST3 CDD-susceptible S. lugdunensis (OSSL) isolates had MIC values ≥ 4 for oxacillin. mecA PCR results showed that 43 OAD-resistant S. lugdunensis and 3 OAD-susceptible ST27 S. lugdunensis had the mecA gene. Therefore, OAD was used as the gold standard to evaluate the performance of CDD and mecA PCR for identifying ORSL. The overall sensitivity, specificity, and accuracy of CCD for ORSL detection was 90.7%, 100%, and 96.8%, respectively. The sensitivity, specificity, and accuracy of mecA PCR for identifying ORSL was 100%, 95.9%, and 97.44%, respectively. CONCLUSION Our results indicate that OAD shows higher accuracy for ORSL detection compared with CDD and mecA PCR.
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Affiliation(s)
- Cheng-Yen Kao
- Institute of Microbiology and Immunology, School of Life Science, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Hsiao-Han Wu
- Department of Laboratory Medicine, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan
| | - Shih-Cheng Chang
- Department of Laboratory Medicine, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan; Department of Medical Biotechnology and Laboratory Science, Chang Gung University, Taoyuan, Taiwan
| | - Lee-Chung Lin
- Department of Laboratory Medicine, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan
| | - Tsui-Ping Liu
- Department of Laboratory Medicine, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan; Department of Medical Biotechnology and Laboratory Science, Chang Gung University, Taoyuan, Taiwan
| | - Jang-Jih Lu
- Department of Laboratory Medicine, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan; Department of Medical Biotechnology and Laboratory Science, Chang Gung University, Taoyuan, Taiwan; School of Medicine, College of Medicine, Chang Gung University, Taoyuan, Taiwan.
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Eke UA, Fairfax MR, Mitchell R, Taylor M, Salimnia H. Staphylococcus pettenkoferi-positive Blood cultures in Hospitalized Patients in a Multi-site Tertiary Center. Diagn Microbiol Infect Dis 2020; 99:115284. [PMID: 33485136 DOI: 10.1016/j.diagmicrobio.2020.115284] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2020] [Revised: 11/17/2020] [Accepted: 11/28/2020] [Indexed: 01/23/2023]
Abstract
Staphylococcus pettenkoferi (S.pettenkoferi), originally described in Germany in 2002 by Trülzsch et al, is a coagulase negative staphylococcus whose clinical relevance is yet to be determined. With about 10 case reports in the literature from several parts of the world, there is no data on S. pettenkoferi infection from the United States. This is a retrospective cohort study of 80 patients ≥ 18 years of age who had at least 1 S. pettenkoferi-positive blood culture, identified by matrix-assisted laser desorption/ionization time-of-flight at a tertiary academic center in Detroit, Michigan. We describe the features of S. pettenkoferi-positive blood cultures in order to identify cases of true bacteremia. The mean age of the cohort was 66 ± 16 years and 1 out of 3 had immunosuppressing conditions. No case of true S.pettenkoferi bacteremia was identified. More studies are needed to determine its role as a pathogen in the United States.
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Affiliation(s)
- Uzoamaka A Eke
- Division of Infectious Diseases, Detroit Medical Center, Detroit, MI, USA.
| | - Marilynn R Fairfax
- Department of Pathology, Wayne State University School of Medicine, Detroit, MI, USA; Microbiology Division, DMC University Laboratories, Detroit Medical Center, Detroit, MI, USA
| | - Robert Mitchell
- Microbiology Division, DMC University Laboratories, Detroit Medical Center, Detroit, MI, USA
| | - Maureen Taylor
- Microbiology Division, DMC University Laboratories, Detroit Medical Center, Detroit, MI, USA
| | - Hossein Salimnia
- Department of Pathology, Wayne State University School of Medicine, Detroit, MI, USA; Microbiology Division, DMC University Laboratories, Detroit Medical Center, Detroit, MI, USA
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