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Escalona A, Hayashi E, Evans M, van Bakel H, Alburquerque B, Dupper AC, McBride R, Altman DR. Polymicrobial methicillin-resistant Staphylococcus aureus bloodstream infections. Microbiol Spectr 2024; 12:e0108124. [PMID: 39320087 PMCID: PMC11540167 DOI: 10.1128/spectrum.01081-24] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2024] [Accepted: 08/19/2024] [Indexed: 09/26/2024] Open
Abstract
Methicillin-resistant Staphylococcus aureus (MRSA) bloodstream infection (BSI) is a serious public health concern. At times, MRSA is isolated from the blood along with other pathogens, the significance and consequences of which are not well described. This study aims to outline the clinical characteristics and outcomes of those with polymicrobial MRSA BSI compared with those with monomicrobial MRSA BSI. We conducted a retrospective case-control study of those with and without polymicrobial MRSA BSI from 2014 to 2022 at a single quaternary care center in New York City. Risk factors and outcomes for polymicrobial MRSA BSI were assessed using logistic regression analyses. Of 559 patients with MRSA BSI during the study period, 49 (9%) had polymicrobial MRSA BSI. Gram-positive Enterococcus (23%) was the most common co-pathogen. The presence of urinary (P = 0.02) and gastrointestinal (P < 0.01) devices was significantly associated with polymicrobial MRSA BSI. Polymicrobial MRSA BSI was associated with intensive care unit (ICU) admission after BSI (P = 0.01). Mortality did not differ. While polymicrobial MRSA BSI is relatively uncommon, it complicates an already complex clinical scenario of MRSA BSI.IMPORTANCEStaphylococcus aureus is a common human pathogen associated with severe disease and high mortality rates. Although clinically observed, little is known about the impact of polymicrobial staphylococcal bloodstream infection. This study evaluates polymicrobial methicillin-resistant S. aureus bloodstream infection (BSI), highlighting the increased risk of intensive care unit admission and impact on morbidity. Identifying risk factors for polymicrobial BSI, such as the presence of specific devices, can aid in early recognition and targeted interventions. Clarifying the risks and outcomes of polymicrobial infections can lead to strategies to minimize and manage these infections and explore the potential interactions between pathogens.
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Affiliation(s)
- Angelica Escalona
- Department of
Medicine, Division of Infectious Diseases, Icahn School of Medicine at
Mount Sinai, New York,
New York, USA
| | - Emi Hayashi
- Department of
Medicine, Division of Infectious Diseases, Icahn School of Medicine at
Mount Sinai, New York,
New York, USA
| | - Michelle Evans
- Department of
Medicine, Division of Infectious Diseases, Icahn School of Medicine at
Mount Sinai, New York,
New York, USA
| | - Harm van Bakel
- Department of Genetics
and Genomics Sciences, Icahn School of Medicine at Mount
Sinai, New York,
New York, USA
- Department of
Microbiology, Icahn School of Medicine at Mount
Sinai, New York, New
York, USA
- Icahn Genomics
Institute, Icahn School of Medicine at Mount
Sinai, New York, New
York, USA
- Department of
Artificial Intelligence And Human Health, Icahn School of Medicine at
Mount Sinai, New York,
New York, USA
| | - Bremy Alburquerque
- Department of Genetics
and Genomics Sciences, Icahn School of Medicine at Mount
Sinai, New York,
New York, USA
| | - Amy C. Dupper
- Department of
Medicine, Division of Infectious Diseases, Icahn School of Medicine at
Mount Sinai, New York,
New York, USA
| | - Russell McBride
- Department of
Pathology, Molecular and Cell Based Medicine, Icahn School of Medicine
at Mount Sinai, New York,
New York, USA
| | - Deena R. Altman
- Department of
Medicine, Division of Infectious Diseases, Icahn School of Medicine at
Mount Sinai, New York,
New York, USA
- Department of Genetics
and Genomics Sciences, Icahn School of Medicine at Mount
Sinai, New York,
New York, USA
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Zhou Y, Zhou S, Peng J, Min L, Chen Q, Ke J. Bacterial distribution and drug resistance in blood samples of children in Jiangxi Region, 2017-2021. Front Cell Infect Microbiol 2023; 13:1163312. [PMID: 37424793 PMCID: PMC10324674 DOI: 10.3389/fcimb.2023.1163312] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2023] [Accepted: 05/31/2023] [Indexed: 07/11/2023] Open
Abstract
Objective This study aims to investigate the distribution and drug resistance of bacteria in clinical blood culture specimens from children in Jiangxi province in recent years and to provide a foundation for preventing and treating bloodstream infection diseases in children. Methods The study involved a statistical analysis of the isolation and drug resistance of bacterial strains obtained from blood culture specimens of children in Jiangxi province between 2017 and 2021. The analysis was performed using the WHONET 5.6 software. Results A total of 7,977 bacterial strains were isolated from the blood samples of children between 2017 and 2021. Of these, 2,334 strains (29.3%) were identified as Gram-negative bacteria, and 5,643 strains (70.7%) were identified as Gram-positive bacteria. The most commonly isolated pathogens were coagulase-negative Staphylococcus, Escherichia coli, and Staphylococcus aureus. Among the Gram-negative bacteria, Escherichia coli (840 strains, 36.0%), Klebsiella pneumoniae (385 strains), Salmonella (283 strains), Acinetobacter baumannii (137 strains), and Pseudomonas aeruginosa (109 strains) were the most prevalent. Among the Gram-positive bacteria, coagulase-negative Staphylococcus (3,424 strains, 60.7%), Staphylococcus aureus (679 strains), Streptococcus pneumoniae (432 strains), Enterococcus sp. (292 strains), and Streptococcus agalactiae (192 strains) were the most common. Resistance to third-generation cephalosporins (cefotaxime/ceftriaxone) was observed in 45.9% and 56.0% of Escherichia coli and Klebsiella pneumoniae strains, respectively, while resistance to carbapenems was observed in 4.6% and 20.3% of these strains, respectively. Resistance to third-generation cephalosporins (cefotaxime/ceftriaxone) was observed in 15.5% of Salmonella strains, while resistance to imipenem was absent. Carbapenem resistance was observed in 17.1% (20/117) and 13% (14/108) of Acinetobacter baumannii and Pseudomonas aeruginosa strains, respectively. Methicillin-resistant Staphylococcus aureus (MRSA) was detected in 32.7% of the strains, while methicillin-resistant coagulase-negative Staphylococcus was detected in 64.3% of the coagulase-negative Staphylococcus strains. No Staphylococcus bacteria resistant to vancomycin were detected. Four strains of vancomycin-resistant Enterococcus faecium were detected over the 5-year period, and one strain of linezolid-resistant Enterococcus faecalis was detected. Conclusion Gram-positive cocci were the most commonly isolated clinical pathogens in blood specimens from children in Jiangxi province. The composition of the pathogen species showed a slight change over the years. The detection ratios of pathogens varied with age group and season. Although the isolation rate of common carbapenem-resistant Enterobacter bacteria has decreased, it remains high. It is necessary to monitor the antimicrobial resistance of pathogens causing bloodstream infections in children more closely, and antimicrobial agents should be used with caution.
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Affiliation(s)
- Yan Zhou
- Department of Clinical Laboratory, Jiangxi Provincial Children’s Hospital, Nanchang, Jiangxi, China
- Department of Clinical Laboratory, The Affiliated Children’s Hospital of Nanchang Medical College, Nanchang, Jiangxi, China
| | - Shuping Zhou
- Department of Clinical Laboratory, Jiangxi Provincial Children’s Hospital, Nanchang, Jiangxi, China
- Department of Clinical Laboratory, The Affiliated Children’s Hospital of Nanchang Medical College, Nanchang, Jiangxi, China
| | - Jun Peng
- Department of Clinical Laboratory, Jiangxi Provincial Children’s Hospital, Nanchang, Jiangxi, China
- Department of Clinical Laboratory, The Affiliated Children’s Hospital of Nanchang Medical College, Nanchang, Jiangxi, China
| | - Liang Min
- Department of Clinical Laboratory, Jiangxi Provincial Children’s Hospital, Nanchang, Jiangxi, China
- Department of Clinical Laboratory, The Affiliated Children’s Hospital of Nanchang Medical College, Nanchang, Jiangxi, China
| | - Qiang Chen
- Department of Clinical Laboratory, Jiangxi Provincial Children’s Hospital, Nanchang, Jiangxi, China
- Department of Clinical Laboratory, The Affiliated Children’s Hospital of Nanchang Medical College, Nanchang, Jiangxi, China
| | - Jiangwei Ke
- Department of Clinical Laboratory, Jiangxi Provincial Children’s Hospital, Nanchang, Jiangxi, China
- Department of Clinical Laboratory, The Affiliated Children’s Hospital of Nanchang Medical College, Nanchang, Jiangxi, China
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3
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Mills AG, Dupper AC, Chacko KI, Alburquerque B, Nadkarni D, Berbel Caban A, Fox L, Gitman MR, Obla A, van Bakel H, Altman DR. Methicillin-resistant Staphylococcus aureus bacteremia with elevated vancomycin minimum inhibitory concentrations. ANTIMICROBIAL STEWARDSHIP & HEALTHCARE EPIDEMIOLOGY : ASHE 2023; 3:e87. [PMID: 37179762 PMCID: PMC10173282 DOI: 10.1017/ash.2023.163] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/23/2023] [Revised: 03/27/2023] [Accepted: 03/29/2023] [Indexed: 05/15/2023]
Abstract
This case-control study of 25 cases with methicillin-resistant Staphylococcus aureus (MRSA) bacteremia with vancomycin minimum inhibitory concentration (MIC) ≥ 2 µg/mL and 391 controls (MIC < 2 µg/mL) characterized the clinical characteristics, treatments, and outcomes associated with elevated vancomycin MIC. Elevated vancomycin MIC was associated with baseline hemodialysis, prior MRSA colonization, and metastatic infection.
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Affiliation(s)
- Alexandra G. Mills
- Division of Infectious Diseases, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Amy C. Dupper
- Division of Infectious Diseases, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Kieran I. Chacko
- Department of Genetics and Genomics Sciences, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Bremy Alburquerque
- Department of Genetics and Genomics Sciences, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Devika Nadkarni
- Division of Infectious Diseases, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Ana Berbel Caban
- Division of Infectious Diseases, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Lindsey Fox
- Division of Infectious Diseases, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Melissa R. Gitman
- Department of Pathology, Molecular and Cell-Based Medicine, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Ajay Obla
- Department of Genetics and Genomics Sciences, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Harm van Bakel
- Department of Genetics and Genomics Sciences, Icahn School of Medicine at Mount Sinai, New York, New York
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, New York
- Icahn Genomics Institute, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Deena R. Altman
- Division of Infectious Diseases, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York
- Department of Genetics and Genomics Sciences, Icahn School of Medicine at Mount Sinai, New York, New York
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4
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Molecular Epidemiology, Antimicrobial Susceptibility, and Clinical Features of Methicillin-Resistant Staphylococcus aureus Bloodstream Infections over 30 Years in Barcelona, Spain (1990-2019). Microorganisms 2022; 10:microorganisms10122401. [PMID: 36557654 PMCID: PMC9788191 DOI: 10.3390/microorganisms10122401] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2022] [Revised: 11/28/2022] [Accepted: 12/01/2022] [Indexed: 12/11/2022] Open
Abstract
Methicillin-resistant Staphylococcus aureus bloodstream infections (MRSA-BSI) are a significant cause of mortality. We analysed the evolution of the molecular and clinical epidemiology of MRSA-BSI (n = 784) in adult patients (Barcelona, 1990−2019). Isolates were tested for antimicrobial susceptibility and genotyped (PFGE), and a selection was sequenced (WGS) to characterise the pangenome and mechanisms underlying antimicrobial resistance. Increases in patient age (60 to 71 years), comorbidities (Charlson’s index > 2, 10% to 94%), community-onset healthcare-associated acquisition (9% to 60%), and 30-day mortality (28% to 36%) were observed during the 1990−1995 and 2014−2019 periods. The proportion of catheter-related BSIs fell from 57% to 20%. Current MRSA-BSIs are caused by CC5-IV and an upward trend of CC8-IV and CC22-IV clones. CC5 and CC8 had the lowest core genome proportions. Antimicrobial resistance rates fell, and only ciprofloxacin, tobramycin, and erythromycin remained high (>50%) due to GyrA/GrlA changes, the presence of aminoglycoside-modifying enzymes (AAC(6′)-Ie-APH(2″)-Ia and ANT(4′)-Ia), and mph(C)/msr(A) or erm (C) genes. Two CC22-IV strains showed daptomycin resistance (MprF substitutions). MRSA-BSI has become healthcare-associated, affecting elderly patients with comorbidities and causing high mortality rates. Clonal replacement with CC5-IV and CC8-IV clones resulted in lower antimicrobial resistance rates. The increased frequency of the successful CC22-IV, associated with daptomycin resistance, should be monitored.
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5
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Everybody nose: molecular and clinical characteristics of nasal colonization during active methicillin-resistant Staphylococcus aureus bloodstream infection. BMC Infect Dis 2022; 22:400. [PMID: 35462538 PMCID: PMC9036699 DOI: 10.1186/s12879-022-07371-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2021] [Accepted: 04/11/2022] [Indexed: 11/10/2022] Open
Abstract
Abstract
Background
Healthcare-associated infections pose a potentially fatal threat to patients worldwide and Staphylococcus aureus is one of the most common causes of healthcare-associated infections. S. aureus is a common commensal pathogen and a frequent cause of bacteremia, with studies demonstrating that nasal and blood isolates from single patients match more than 80% of the time. Here we report on a contemporary collection of colonizing isolates from those with methicillin-resistant S. aureus (MRSA) bloodstream infections to evaluate the diversity within hosts, and detail the clinical features associated with concomitant nasal colonization.
Methods
Swabs of the bilateral anterior nares were obtained from patients diagnosed with MRSA bacteremia. A single colony culture from the blood and an average of 6 colonies from the nares were evaluated for MRSA growth. For the nares cultures, we typed multiple isolates for staphylococcal protein A (spa) and derived the clonal complexes. Demographic and clinical data were obtained retrospectively from the electronic medical record system and analysed using univariate and multivariable regression models.
Results
Over an 11-month period, 68 patients were diagnosed with MRSA bloodstream infection, 53 were swabbed, and 37 (70%) were colonized with MRSA in the anterior nares. We performed molecular typing on 213 nasal colonies. Spa types and clonal complexes found in the blood were also detected in the nares in 95% of the cases. We also found that 11% of patients carried more than one clone of MRSA in the nares. Male sex and history of prior hospitalization within the past 90 days increased odds for MRSA colonization.
Conclusion
The molecular epidemiological landscape of colonization in the setting of invasive disease is diverse and defining the interplay between colonization and invasive disease is critical to combating invasive MRSA disease.
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6
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Bai AD, Lo CKL, Komorowski AS, Suresh M, Guo K, Garg A, Tandon P, Senecal J, Del Corpo O, Stefanova I, Fogarty C, Butler-Laporte G, McDonald EG, Cheng MP, Morris AM, Loeb M, Lee TC. What Is the Optimal Follow-up Length for Mortality in Staphylococcus aureus Bacteremia? Observations From a Systematic Review of Attributable Mortality. Open Forum Infect Dis 2022; 9:ofac096. [PMID: 35415199 PMCID: PMC8995072 DOI: 10.1093/ofid/ofac096] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2021] [Accepted: 02/19/2022] [Indexed: 11/14/2022] Open
Abstract
Background Deaths following Staphylococcus aureus bacteremia (SAB) may be related or unrelated to the infection. In SAB therapeutics research, the length of follow-up should be optimized to capture most attributable deaths and minimize nonattributable deaths. We performed a secondary analysis of a systematic review to describe attributable mortality in SAB over time. Methods We systematically searched Medline, Embase, and Cochrane Database of Systematic Reviews from 1 January 1991 to 7 May 2021 for human observational studies of SAB. To be included in this secondary analysis, the study must have reported attributable mortality. Two reviewers extracted study data and assessed risk of bias independently. Pooling of study estimates was not performed due to heterogeneity in the definition of attributable deaths. Results Twenty-four observational cohort studies were included. The median proportion of all-cause deaths that were attributable to SAB was 77% (interquartile range [IQR], 72%–89%) at 1 month and 62% (IQR, 58%–75%) at 3 months. At 1 year, this proportion was 57% in 1 study. In 2 studies that described the rate of increase in mortality over time, 2-week follow-up captured 68 of 79 (86%) and 48 of 57 (84%) attributable deaths that occurred by 3 months. By comparison, 1-month follow-up captured 54 of 57 (95%) and 56 of 60 (93%) attributable deaths that occurred by 3 months in 2 studies. Conclusions The proportion of deaths that are attributable to SAB decreases as follow-up lengthens. Follow-up duration between 1 and 3 months seems optimal if evaluating processes of care that impact SAB mortality. Clinical Trials Registration PROSPERO CRD42021253891.
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Affiliation(s)
- Anthony D Bai
- Division of Infectious Diseases, Department of Medicine, Queen’s University, Kingston, Ontario, Canada
- Department of Health Research Methods, Evidence and Impact, Faculty of Health Sciences, McMaster University, Hamilton, Ontario, Canada
| | - Carson K L Lo
- Division of Infectious Diseases, Department of Medicine, McMaster University, Hamilton, Ontario, Canada
| | - Adam S Komorowski
- Department of Health Research Methods, Evidence and Impact, Faculty of Health Sciences, McMaster University, Hamilton, Ontario, Canada
- Division of Medical Microbiology, Department of Pathology and Molecular Medicine, McMaster University, Hamilton, Ontario, Canada
| | - Mallika Suresh
- Michael G. DeGroote School of Medicine, McMaster University, Hamilton, Ontario, Canada
| | - Kevin Guo
- Faculty of Health Sciences, McMaster University, Hamilton, Ontario, Canada
| | - Akhil Garg
- Department of Medicine, Queen’s University, Kingston, Ontario, Canada
| | - Pranav Tandon
- Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Julien Senecal
- Faculty of Medicine and Health Sciences, McGill University, Montreal, Quebec, Canada
| | - Olivier Del Corpo
- Department of Medicine, Division of Experimental Medicine, Division of Infectious Diseases, McGill University, Montreal, Quebec, Canada
| | - Isabella Stefanova
- Michael G. DeGroote School of Medicine, McMaster University, Hamilton, Ontario, Canada
| | - Clare Fogarty
- McGill University Health Centre, McGill University, Montreal, Quebec, Canada
| | - Guillaume Butler-Laporte
- Department of Epidemiology, Biostatistics, and Occupational Health, McGill University, Montreal, Canada
| | - Emily G McDonald
- Clinical Practice Assessment Unit, Department of Medicine, McGill University, Montreal, Quebec, Canada
| | - Matthew P Cheng
- Divisions of Infectious Diseases and Medical Microbiology, McGill University Health Centre, Montreal, Quebec, Canada
| | - Andrew M Morris
- Division of Infectious Diseases, Department of Medicine, Sinai Health, University Health Network, and the University of Toronto, Toronto, Ontario, Canada
| | - Mark Loeb
- Division of Infectious Diseases, Department of Medicine, McMaster University, Hamilton, Ontario, Canada
| | - Todd C Lee
- Clinical Practice Assessment Unit, Department of Medicine, McGill University, Montreal, Quebec, Canada
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7
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Impact of Bicarbonate on PBP2a Production, Maturation, and Functionality in Methicillin-Resistant Staphylococcus aureus (MRSA). Antimicrob Agents Chemother 2021; 65:AAC.02621-20. [PMID: 33649115 PMCID: PMC8092911 DOI: 10.1128/aac.02621-20] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022] Open
Abstract
Certain methicillin-resistant Staphylococcus aureus (MRSA) strains exhibit β-lactam-susceptibility in vitro, ex vivo and in vivo in the presence of NaHCO3 (NaHCO3-responsive MRSA). Herein, we investigate the impact of NaHCO3 on factors required for PBP2a functionality. Prototype NaHCO3-responsive and -nonresponsive MRSA strains (as defined in vitro) were assessed for the impact of NaHCO3 on: expression of genes involved in PBP2a production-maturation pathways (mecA, blaZ, pbp4, vraSR, prsA, sigB, and floA); membrane PBP2a and PrsA protein content; and membrane carotenoid content. Following NaHCO3 exposure in NaHCO3-responsive (vs - nonresponsive) MRSA, there was significantly reduced expression of: i) mecA and blaZ; ii) the vraSR-prsA gene axis; and iii) pbp4 Carotenoid production was reduced, while floA expression was increased by NaHCO3 exposure in all MRSA strains. This work underscores the distinct regulatory impact of NaHCO3 on a cadre of genes encoding factors required for maintenance of the MRSA phenotype through PBP2a functionality and maturation.
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8
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Berbel Caban A, Pak TR, Obla A, Dupper AC, Chacko KI, Fox L, Mills A, Ciferri B, Oussenko I, Beckford C, Chung M, Sebra R, Smith M, Conolly S, Patel G, Kasarskis A, Sullivan MJ, Altman DR, van Bakel H. PathoSPOT genomic epidemiology reveals under-the-radar nosocomial outbreaks. Genome Med 2020; 12:96. [PMID: 33198787 PMCID: PMC7670629 DOI: 10.1186/s13073-020-00798-3] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2020] [Accepted: 11/02/2020] [Indexed: 12/14/2022] Open
Abstract
Background Whole-genome sequencing (WGS) is increasingly used to map the spread of bacterial and viral pathogens in nosocomial settings. A limiting factor for more widespread adoption of WGS for hospital infection prevention practices is the availability of standardized tools for genomic epidemiology. Methods We developed the Pathogen Sequencing Phylogenomic Outbreak Toolkit (PathoSPOT) to automate integration of genomic and medical record data for rapid detection and tracing of nosocomial outbreaks. To demonstrate its capabilities, we applied PathoSPOT to complete genome surveillance data of 197 MRSA bacteremia cases from two hospitals during a 2-year period. Results PathoSPOT identified 8 clonal clusters encompassing 33 patients (16.8% of cases), none of which had been recognized by standard practices. The largest cluster corresponded to a prolonged outbreak of a hospital-associated MRSA clone among 16 adults, spanning 9 wards over a period of 21 months. Analysis of precise timeline and location data with our toolkit suggested that an initial exposure event in a single ward led to infection and long-term colonization of multiple patients, followed by transmissions to other patients during recurrent hospitalizations. Conclusions We demonstrate that PathoSPOT genomic surveillance enables the detection of complex transmission chains that are not readily apparent from epidemiological data and that contribute significantly to morbidity and mortality, enabling more effective intervention strategies.
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Affiliation(s)
- Ana Berbel Caban
- Department of Medicine, Division of Infectious Diseases, Icahn School of Medicine at Mount Sinai, New York City, NY, USA
| | - Theodore R Pak
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York City, NY, USA
| | - Ajay Obla
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York City, NY, USA
| | - Amy C Dupper
- Department of Medicine, Division of Infectious Diseases, Icahn School of Medicine at Mount Sinai, New York City, NY, USA
| | - Kieran I Chacko
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York City, NY, USA
| | - Lindsey Fox
- Department of Medicine, Division of Infectious Diseases, Icahn School of Medicine at Mount Sinai, New York City, NY, USA
| | - Alexandra Mills
- Department of Medicine, Division of Infectious Diseases, Icahn School of Medicine at Mount Sinai, New York City, NY, USA
| | - Brianne Ciferri
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York City, NY, USA
| | - Irina Oussenko
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York City, NY, USA
| | - Colleen Beckford
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York City, NY, USA
| | - Marilyn Chung
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York City, NY, USA
| | - Robert Sebra
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York City, NY, USA.,Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.,Black Family Stem Cell Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.,Sema4, a Mount Sinai venture, Stamford, CT, 06902, USA
| | - Melissa Smith
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York City, NY, USA.,Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Sarah Conolly
- Infection Prevention, The Mount Sinai Hospital, New York City, NY, USA
| | - Gopi Patel
- Department of Medicine, Division of Infectious Diseases, Icahn School of Medicine at Mount Sinai, New York City, NY, USA.,Infection Prevention, The Mount Sinai Hospital, New York City, NY, USA
| | - Andrew Kasarskis
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York City, NY, USA.,Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.,Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York City, NY, USA
| | - Mitchell J Sullivan
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York City, NY, USA
| | - Deena R Altman
- Department of Medicine, Division of Infectious Diseases, Icahn School of Medicine at Mount Sinai, New York City, NY, USA.,Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York City, NY, USA
| | - Harm van Bakel
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York City, NY, USA. .,Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
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9
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Cusumano JA, Dupper AC, Malik Y, Gavioli EM, Banga J, Berbel Caban A, Nadkarni D, Obla A, Vasa CV, Mazo D, Altman DR. Staphylococcus aureus Bacteremia in Patients Infected With COVID-19: A Case Series. Open Forum Infect Dis 2020; 7:ofaa518. [PMID: 33269299 PMCID: PMC7686656 DOI: 10.1093/ofid/ofaa518] [Citation(s) in RCA: 43] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2020] [Accepted: 10/21/2020] [Indexed: 01/08/2023] Open
Abstract
Background Previous viral pandemics have shown that secondary bacterial infections result in higher morbidity and mortality, with Staphylococcus aureus being the primary causative pathogen. The impact of secondary S. aureus bacteremia on mortality in patients infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) remains unknown. Methods This was a retrospective observational case series of patients with coronavirus disease 2019 (COVID-19) who developed secondary S. aureus bacteremia across 2 New York City hospitals. The primary end point was to describe 14-day and 30-day hospital mortality rates of patients with COVID-19 and S. aureus bacteremia. Secondary end points included predictors of 14-day and 30-day hospital mortality in patients with COVID-19 and S. aureus bacteremia. Results A total of 42 patients hospitalized for COVID-19 with secondary S. aureus bacteremia were identified. Of these patients, 23 (54.8%) and 28 (66.7%) died at 14 days and 30 days, respectively, from their first positive blood culture. Multivariate analysis identified hospital-onset bacteremia (≥4 days from date of admission) and age as significant predictors of 14-day hospital mortality and Pitt bacteremia score as a significant predictor of 30-day hospital mortality (odds ratio [OR], 11.9; 95% CI, 2.03-114.7; P = .01; OR, 1.10; 95% CI, 1.03-1.20; P = .02; and OR, 1.56; 95% CI, 1.19-2.18; P = .003, respectively). Conclusions Bacteremia with S. aureus is associated with high mortality rates in patients hospitalized with COVID-19. Further investigation is warranted to understand the impact of COVID-19 and secondary S. aureus bacteremia.
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Affiliation(s)
- Jaclyn A Cusumano
- Mount Sinai Queens, Queens, New York, USA.,Arnold & Marie Schwartz College of Pharmacy and Health Sciences, Brooklyn, New York, USA
| | - Amy C Dupper
- Icahn School of Medicine at Mount Sinai, New York, New York, USA.,Division of Infectious Diseases, Department of Medicine, Mount Sinai Hospital, New York, New York, USA
| | - Yesha Malik
- Icahn School of Medicine at Mount Sinai, New York, New York, USA.,Division of Infectious Diseases, Department of Medicine, Mount Sinai Hospital, New York, New York, USA
| | - Elizabeth M Gavioli
- Arnold & Marie Schwartz College of Pharmacy and Health Sciences, Brooklyn, New York, USA.,Mount Sinai Beth Israel, New York, New York, USA
| | - Jaspreet Banga
- Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Ana Berbel Caban
- Division of Infectious Diseases, Department of Medicine, Mount Sinai Hospital, New York, New York, USA
| | - Devika Nadkarni
- Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Ajay Obla
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York City, New York, USA
| | | | - Dana Mazo
- Mount Sinai Queens, Queens, New York, USA.,Icahn School of Medicine at Mount Sinai, New York, New York, USA.,Division of Infectious Diseases, Department of Medicine, Mount Sinai Hospital, New York, New York, USA
| | - Deena R Altman
- Division of Infectious Diseases, Department of Medicine, Mount Sinai Hospital, New York, New York, USA.,Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York City, New York, USA
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