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Navarro F, Oliver A, Larrosa MN. Considerations to the comments on the recommendations of the Spanish Antibiogram Committee (COESANT) for the preparation of Cumulative Antibiotic Sensitivity Reports. ENFERMEDADES INFECCIOSAS Y MICROBIOLOGIA CLINICA (ENGLISH ED.) 2024:S2529-993X(24)00125-4. [PMID: 38763864 DOI: 10.1016/j.eimce.2024.05.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/19/2024] [Accepted: 03/21/2024] [Indexed: 05/21/2024]
Affiliation(s)
- Ferran Navarro
- Servicio de Microbiología, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain; Departamento de Genética y de Microbiología, Universitat Autònoma de Barcelona, Institut d'Investigació Biomèdica de Sant Pau (IIB Sant Pau), Barcelona, Spain.
| | - Antonio Oliver
- CIBER de Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III, Madrid, Spain; Servicio de Microbiología, Hospital Universitario Son Espases, Instituto de Investigación Sanitaria Illes Balears (IdISBa), Palma de Mallorca, Spain
| | - María Nieves Larrosa
- CIBER de Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III, Madrid, Spain; Servicio de Microbiología, Hospital Universitario Vall d'Hebron, Universitat Autònoma de Barcelona, Vall d'Hebron Institut de Recerca (VHIR), Barcelona, Spain
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De Bus L, Arvaniti K, Sjövall F. Empirical antimicrobials in the intensive care unit. Intensive Care Med 2024:10.1007/s00134-024-07453-0. [PMID: 38739275 DOI: 10.1007/s00134-024-07453-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2024] [Accepted: 04/18/2024] [Indexed: 05/14/2024]
Affiliation(s)
- Liesbet De Bus
- Department of Intensive Care Medicine, Ghent University Hospital, C. Heymanslaan 10, 9000, Ghent, Belgium.
- Department of Internal Medicine and Pediatrics, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium.
| | - Kostoula Arvaniti
- Intensive Care Unit, Papageorgiou University Affiliated Hospital, Thessaloníki, Greece
| | - Fredrik Sjövall
- Department of Intensive and Perioperative Care, Skåne University Hospital, Malmö, Sweden
- Department of Clinical Sciences, Lund university, Lund, Sweden
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Brezmes Valdivieso MF, Asensio Calle ML, Martín Gómez C, Ochoa Sangrador C. Standardization of cumulative antimicrobial susceptibility reports: A need. ENFERMEDADES INFECCIOSAS Y MICROBIOLOGIA CLINICA (ENGLISH ED.) 2024; 42:166-168. [PMID: 38388318 DOI: 10.1016/j.eimce.2024.02.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/30/2023] [Revised: 12/01/2023] [Accepted: 12/06/2023] [Indexed: 02/24/2024]
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Berry I, Rubis AB, Howie RL, Sharma S, Marasini D, Marjuki H, Crowe S, McNamara LA. Selection of Antibiotics as Prophylaxis for Close Contacts of Patients with Meningococcal Disease in Areas with Ciprofloxacin Resistance - United States, 2024. MMWR. MORBIDITY AND MORTALITY WEEKLY REPORT 2024; 73:99-103. [PMID: 38329923 PMCID: PMC10861203 DOI: 10.15585/mmwr.mm7305a2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/10/2024]
Abstract
Meningococcal disease, caused by the bacterium Neisseria meningitidis, is a rare but life-threatening illness that requires prompt antibiotic treatment for patients and antibiotic prophylaxis for their close contacts. Historically, N. meningitidis isolates in the United States have been largely susceptible to the antibiotics recommended for prophylaxis, including ciprofloxacin. Since 2019, however, the number of meningococcal disease cases caused by ciprofloxacin-resistant strains has increased. Antibiotic prophylaxis with ciprofloxacin in areas with ciprofloxacin resistance might result in prophylaxis failure. Health departments should preferentially consider using antibiotics other than ciprofloxacin as prophylaxis for close contacts when both of the following criteria have been met in a local catchment area during a rolling 12-month period: 1) the reporting of two or more invasive meningococcal disease cases caused by ciprofloxacin-resistant strains, and 2) ≥20% of all reported invasive meningococcal disease cases are caused by ciprofloxacin-resistant strains. Other than ciprofloxacin, alternative recommended antibiotic options include rifampin, ceftriaxone, or azithromycin. Ongoing monitoring for antibiotic resistance of meningococcal isolates through surveillance and health care providers' reporting of prophylaxis failures will guide future updates to prophylaxis considerations and recommendations.
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Kim C, Choi YH, Choi JY, Choi HJ, Park RW, Rhie SJ. Translation of Machine Learning-Based Prediction Algorithms to Personalised Empiric Antibiotic Selection: A Population-Based Cohort Study. Int J Antimicrob Agents 2023; 62:106966. [PMID: 37716574 DOI: 10.1016/j.ijantimicag.2023.106966] [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: 12/01/2022] [Revised: 08/08/2023] [Accepted: 09/03/2023] [Indexed: 09/18/2023]
Abstract
BACKGROUND Prediction of antibiotic non-susceptibility based on patient characteristics and clinical status may support selection of empiric antibiotics for suspected hospital-acquired urinary tract infections (HA-UTIs). METHODS Prediction models were developed to predict non-susceptible results of eight antibiotic susceptibility tests ordered for suspected HA-UTI. Eligible patients were those with urine culture and susceptibility test results after 48 hours of admission between 2010-2021. Patient demographics, diagnosis, prescriptions, exposure to multidrug-resistant organisms, transfer history, and a daily calculated antibiogram were used as predictors. Lasso logistic regression (LLR), extreme gradient boosting (XGB), random forest, and stacked ensemble methods were used for development. Parsimonious models were also developed for clinical utility. Discrimination was assessed using the area under the receiver operating characteristic curve (AUROC). RESULTS In 10 474 suspected HA-UTI cases, the mean age was 62.1 ± 16.2 years and 48.1% were male. Non-susceptibility prediction for ampicillin/sulbactam, cefepime, ciprofloxacin, imipenem, piperacillin/tazobactam, and trimethoprim/sulfamethoxazole performed best using the stacked ensemble (AUROC 76.9, 76.1, 77.0, 80.6, 76.1, and 76.5, respectively). The model for ampicillin performed best with LLR (AUROC 73.4). Extreme gradient boosting only performed best for gentamicin (AUROC 66.9). In the parsimonious models, the LLR yielded the highest AUROC for ampicillin, ampicillin/sulbactam, cefepime, gentamicin, and trimethoprim/sulfamethoxazole (AUROC 70.6, 71.8, 73.0, 65.9, and 73.0, respectively). The model for ciprofloxacin performed best with XGB (AUROC 70.3), while the model for imipenem performed best in the stacked ensemble (AUROC 71.3). A personalised application using the parsimonious models was publicly released. CONCLUSIONS Prediction models for antibiotic non-susceptibility were developed to support empiric antibiotic selection for HA-UTI.
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Affiliation(s)
- Chungsoo Kim
- Department of Biomedical Sciences, Ajou University Graduate School of Medicine, Suwon, Gyeonggi-do, Republic of Korea
| | - Young Hwa Choi
- Department of Infectious Diseases, Ajou University School of Medicine, Suwon, Republic of Korea
| | - Jung Yoon Choi
- Graduate School of Pharmaceutical Sciences, Ewha Womans University, Seoul, Republic of Korea
| | - Hee Jung Choi
- College of Medicine, Ewha Womans University, Seoul, Republic of Korea; Department of Internal Medicine, Ewha Womans University Mokdong Hospital, Seoul, Republic of Korea
| | - Rae Woong Park
- Department of Biomedical Sciences, Ajou University Graduate School of Medicine, Suwon, Gyeonggi-do, Republic of Korea; Department of Biomedical Informatics, Ajou University School of Medicine, Suwon, Republic of Korea.
| | - Sandy Jeong Rhie
- Graduate School of Pharmaceutical Sciences, Ewha Womans University, Seoul, Republic of Korea; College of Pharmacy, Ewha Womans University, Seoul, Republic of Korea.
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Lodise TP, Chen LH, Wei R, Im TM, Contreras R, Bruxvoort KJ, Rodriguez M, Friedrich L, Tartof SY. Clinical Risk Scores to Predict Nonsusceptibility to Trimethoprim-Sulfamethoxazole, Fluoroquinolone, Nitrofurantoin, and Third-Generation Cephalosporin Among Adult Outpatient Episodes of Complicated Urinary Tract Infection. Open Forum Infect Dis 2023; 10:ofad319. [PMID: 37534299 PMCID: PMC10390854 DOI: 10.1093/ofid/ofad319] [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: 03/31/2023] [Accepted: 06/12/2023] [Indexed: 08/04/2023] Open
Abstract
Background Clinical risk scores were developed to estimate the risk of adult outpatients having a complicated urinary tract infection (cUTI) that was nonsusceptible to trimethoprim-sulfamethoxazole (TMP-SMX), fluoroquinolone, nitrofurantoin, or third-generation cephalosporin (3-GC) based on variables available on clinical presentation. Methods A retrospective cohort study (1 December 2017-31 December 2020) was performed among adult members of Kaiser Permanente Southern California with an outpatient cUTI. Separate risk scores were developed for TMP-SMX, fluoroquinolone, nitrofurantoin, and 3-GC. The models were translated into risk scores to quantify the likelihood of nonsusceptibility based on the presence of final model covariates in a given cUTI outpatient. Results A total of 30 450 cUTIs (26 326 patients) met the study criteria. Rates of nonsusceptibility to TMP-SMX, fluoroquinolone, nitrofurantoin, and 3-GC were 37%, 20%, 27%, and 24%, respectively. Receipt of prior antibiotics was the most important predictor across all models. The risk of nonsusceptibility in the TMP-SMX model exceeded 20% in the absence of any risk factors, suggesting that empiric use of TMP-SMX may not be advisable. For fluoroquinolone, nitrofurantoin, and 3-GC, clinical risk scores of 10, 7, and 11 predicted a ≥20% estimated probability of nonsusceptibility in the models that included cumulative number of prior antibiotics at model entry. This finding suggests that caution should be used when considering these agents empirically in patients who have several risk factors present in a given model at presentation. Conclusions We developed high-performing parsimonious risk scores to facilitate empiric treatment selection for adult outpatients with cUTIs in the critical period between infection presentation and availability of susceptibility results.
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Affiliation(s)
- Thomas P Lodise
- Department of Pharmacy Practice, Albany College of Pharmacy and Health Sciences, Albany, New York, USA
| | - Lie Hong Chen
- Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, California, USA
| | - Rong Wei
- Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, California, USA
| | - Theresa M Im
- Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, California, USA
| | - Richard Contreras
- Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, California, USA
| | - Katia J Bruxvoort
- Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, California, USA
- Department of Epidemiology, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | | | | | - Sara Y Tartof
- Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, California, USA
- Department of Health Systems Science, Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena, California, USA
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Rogers NG, Carrillo-Marquez M, Carlisle A, Sanders CD, Burge L. Friends Not Foes: Optimizing Collaboration with Subspecialists. Orthop Clin North Am 2023; 54:277-285. [PMID: 37271556 DOI: 10.1016/j.ocl.2023.02.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/06/2023]
Abstract
Pediatric orthopedic patients can be complex to manage. As orthopedists plan for possible surgical interventions, consultation with pediatric subspecialists will be necessary. This article discusses the considerations an orthopedist should make when deciding on the timing and the appropriateness of consultation-both preoperatively and perioperatively. Consultation before surgical intervention will especially be useful if the subspecialist will be collaborating in the management of the condition postoperatively (whether inpatient or outpatient). Clear and early consultation in both written and verbal format will facilitate quality and expedite the patient's care.
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Affiliation(s)
- Nathaniel G Rogers
- Division of Pediatric Hospital Medicine, University of Tennessee Health Science Center, 49 North Dunlap Street, Memphis, TN 38103, USA.
| | - Maria Carrillo-Marquez
- Division of Infectious Diseases, University of Tennessee Health Science Center, 49 North Dunlap Street, Memphis, TN 38103, USA
| | - Annette Carlisle
- Division of Allergy & Immunology, University of Tennessee Health Science Center, 49 North Dunlap Street, Memphis, TN 38103, USA
| | - Catherine D Sanders
- Division of Pulmonology, University of Tennessee Health Science Center, 49 North Dunlap Street, Memphis, TN 38103, USA
| | - Lauren Burge
- Division of Child Abuse, University of Tennessee Health Science Center, 49 North Dunlap Street, Memphis, TN 38103, USA
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Righi E, Mutters NT, Guirao X, Del Toro MD, Eckmann C, Friedrich AW, Giannella M, Kluytmans J, Presterl E, Christaki E, Cross ELA, Visentin A, Sganga G, Tsioutis C, Tacconelli E. ESCMID/EUCIC clinical practice guidelines on perioperative antibiotic prophylaxis in patients colonized by multidrug-resistant Gram-negative bacteria before surgery. Clin Microbiol Infect 2022; 29:463-479. [PMID: 36566836 DOI: 10.1016/j.cmi.2022.12.012] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2022] [Revised: 12/10/2022] [Accepted: 12/11/2022] [Indexed: 12/24/2022]
Abstract
SCOPE The aim of the guidelines is to provide recommendations on perioperative antibiotic prophylaxis (PAP) in adult inpatients who are carriers of multidrug-resistant Gram-negative bacteria (MDR-GNB) before surgery. METHODS These evidence-based guidelines were developed after a systematic review of published studies on PAP targeting the following MDR-GNB: extended-spectrum cephalosporin-resistant Enterobacterales, carbapenem-resistant Enterobacterales (CRE), aminoglycoside-resistant Enterobacterales, fluoroquinolone-resistant Enterobacterales, cotrimoxazole-resistant Stenotrophomonas maltophilia, carbapenem-resistant Acinetobacter baumannii (CRAB), extremely drug-resistant Pseudomonas aeruginosa, colistin-resistant Gram-negative bacteria, and pan-drug-resistant Gram-negative bacteria. The critical outcomes were the occurrence of surgical site infections (SSIs) caused by any bacteria and/or by the colonizing MDR-GNB, and SSI-attributable mortality. Important outcomes included the occurrence of any type of postsurgical infectious complication, all-cause mortality, and adverse events of PAP, including development of resistance to targeted (culture-based) PAP after surgery and incidence of Clostridioides difficile infections. The last search of all databases was performed until April 30, 2022. The level of evidence and strength of each recommendation were defined according to the Grading of Recommendations Assessment, Development and Evaluation approach. Consensus of a multidisciplinary expert panel was reached for the final list of recommendations. Antimicrobial stewardship considerations were included in the recommendation development. RECOMMENDATIONS The guideline panel reviewed the evidence, per bacteria, of the risk of SSIs in patients colonized with MDR-GNB before surgery and critically appraised the existing studies. Significant knowledge gaps were identified, and most questions were addressed by observational studies. Moderate to high risk of bias was identified in the retrieved studies, and the majority of the recommendations were supported by low level of evidence. The panel conditionally recommends rectal screening and targeted PAP for fluoroquinolone-resistant Enterobacterales before transrectal ultrasound-guided prostate biopsy and for extended-spectrum cephalosporin-resistant Enterobacterales in patients undergoing colorectal surgery and solid organ transplantation. Screening for CRE and CRAB is suggested before transplant surgery after assessment of the local epidemiology. Careful consideration of the laboratory workload and involvement of antimicrobial stewardship teams before implementing the screening procedures or performing changes in PAP are warranted. High-quality prospective studies to assess the impact of PAP among CRE and CRAB carriers performing high-risk surgeries are advocated. Future well-designed clinical trials should assess the effectiveness of targeted PAP, including the monitoring of MDR-GNB colonization through postoperative cultures using European Committee on Antimicrobial Susceptibility Testing clinical breakpoints.
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Affiliation(s)
- Elda Righi
- Division of Infectious Diseases, Department of Diagnostics and Public Health, University of Verona, Verona, Italy
| | - Nico T Mutters
- University Hospital Bonn, Institute for Hygiene and Public Health, Bonn, Germany
| | - Xavier Guirao
- Surgical Endocrine Unit, Department of General Surgery, Surgical Site Prevention Unit, Parc Tauli, Hospital Universitari Sabadell, Spain
| | - Maria Dolores Del Toro
- Division of Infectious Diseases and Microbiology, University Hospital Virgen Macarena, Seville, Spain; Department of Medicine, University of Sevilla. Biomedicine Institute of Sevilla, Seville, Spain; Centro de Investigación Biomédica en Red en Enfermedades Infecciosas, Spain
| | - Christian Eckmann
- Klinikum Hannoversch-Muenden, Academic Hospital of Goettingen University, Germany
| | - Alex W Friedrich
- University of Groningen, University Medical Center Groningen, Department of Medical Microbiology and Infection Prevention, Groningen, the Netherlands; Institute for European Prevention Networks in Infection Control, University Hospital Münster, Münster, Germany
| | - Maddalena Giannella
- Infectious Diseases Unit, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Azienda Ospedaliero Universitaria di Bologna, Bologna, Italy; Department of Medical and Surgical Sciences, University of Bologna, Italy
| | - Jan Kluytmans
- Department of Medical Microbiology, University Medical Center Utrecht, Utrecht University, the Netherlands
| | - Elisabeth Presterl
- Department of Infection Control and Hospital Epidemiology, Medical University of Vienna, Vienna, Austria
| | - Eirini Christaki
- Department of Internal Medicine, Faculty of Medicine, School of Health Sciences, University of Ioannina, Ioannina, Greece
| | - Elizabeth L A Cross
- Department of Global Health and Infection, Brighton and Sussex Medical School, Brighton, United Kingdom
| | - Alessandro Visentin
- Division of Infectious Diseases, Department of Diagnostics and Public Health, University of Verona, Verona, Italy
| | - Gabriele Sganga
- Emergency Surgery and Trauma, Fondazione Policlinico Universitario A. Gemelli IRCCS, Università Cattolica del Sacro Cuore, Rome, Italy
| | | | - Evelina Tacconelli
- Division of Infectious Diseases, Department of Diagnostics and Public Health, University of Verona, Verona, Italy; Division of Infectious Diseases, Department of Internal Medicine I, University of Tübingen, Tübingen, Germany.
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Sharland M, Zanichelli V, Ombajo LA, Bazira J, Cappello B, Chitatanga R, Chuki P, Gandra S, Getahun H, Harbarth S, Loeb M, Mendelson M, Moja L, Pulcini C, Sati H, Tacconelli E, Zeng M, Huttner B. The WHO Essential Medicines list AWaRe book: from a list to a quality improvement system. Clin Microbiol Infect 2022; 28:1533-1535. [PMID: 36007869 DOI: 10.1016/j.cmi.2022.08.009] [Citation(s) in RCA: 31] [Impact Index Per Article: 15.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2022] [Revised: 08/05/2022] [Accepted: 08/11/2022] [Indexed: 11/03/2022]
Affiliation(s)
- Michael Sharland
- Centre for Neonatal and Paediatric Infection, Institute for Infection and Immunity, St George's University of London, London, United Kingdom
| | - Veronica Zanichelli
- Ottawa Hospital Research Institute, Ottawa, Ontario, Canada; Health Products Policy and Standards, World Health Organization, Geneva, Switzerland
| | | | - Joel Bazira
- Department of Microbiology and Parasitology, Mbarara University of Science & Technology, Mbarara, Uganda
| | - Bernadette Cappello
- Health Products Policy and Standards, World Health Organization, Geneva, Switzerland
| | - Ronald Chitatanga
- Department of Paediatrics and Child Health, Queen Elizabeth Central Hospital, Blantyre, Malawi
| | - Pem Chuki
- Antimicrobial stewardship unit(,) Jigme Dorji Wangchuck National referral hospital, Thimphu, Bhutan
| | - Sumanth Gandra
- Department of Internal Medicine, Division of Infectious Diseases, Washington University School of Medicine, Saint Louis, MO, USA
| | - Haileyesus Getahun
- Department of Global Coordination and Partnership on Antimicrobial Resistance, World Health Organisation, Geneva, Switzerland
| | - Stephan Harbarth
- Infection Control Programme and WHO Collaborating Centre on Patient Safety, University of Geneva Hospitals and Faculty of Medicine, Geneva, Switzerland
| | - Mark Loeb
- Department of Medicine, McMaster University, Hamilton, Ontario, Canada; Michael G. DeGroote Institute for Infectious Disease Research, McMaster University, Hamilton, Ontario, Canada
| | - Marc Mendelson
- Division of Infectious Diseases and HIV Medicine, Department of Medicine, University of Cape Town, Cape Town, South Africa
| | - Lorenzo Moja
- Health Products Policy and Standards, World Health Organization, Geneva, Switzerland
| | - Celine Pulcini
- APEMAC, Université de Lorraine, Nancy, France; Infectious Diseases Department, Université de Lorraine, CHRU-Nancy, Nancy, France
| | - Hatim Sati
- Department of Global Coordination and Partnership on Antimicrobial Resistance, World Health Organisation, Geneva, Switzerland
| | - Evelina Tacconelli
- Infectious Diseases Unit, Department of Diagnostics and Public Health, University of Verona, Italy
| | - Mei Zeng
- Department of Infectious Diseases, Children's Hospital of Fudan University, Shanghai, China
| | - Benedikt Huttner
- Health Products Policy and Standards, World Health Organization, Geneva, Switzerland.
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Unbiased antimicrobial resistance prevalence estimates through population-based surveillance. Clin Microbiol Infect 2022; 29:429-433. [PMID: 35595126 DOI: 10.1016/j.cmi.2022.05.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2021] [Revised: 03/20/2022] [Accepted: 05/04/2022] [Indexed: 11/27/2022]
Abstract
BACKGROUND Current antimicrobial resistance surveillance (AMR) is mainly laboratory-based. This approach can have inherent biases given the potential for selective specimen submission for microbiological analysis, and for its inability to map antibiotic susceptibility test results to a clinical syndrome. OBJECTIVES To discuss the need for population-based surveillance of AMR, and highlight the pros and cons of threshold surveys. SOURCES Studies on methodology for AMR surveillance published in the last 10 years, obtained through a PubMed search on antimicrobial resistance (all fields) and surveillance/method (MeSH term). CONTENT We discuss the use of threshold surveys to overcome the challenge of sample size in population-bases AMR surveys, which are a suitable approach in both low- and high-resource settings. IMPLICATION Scale up in the use of population-based threshold survey on the prevalence of AMR will provide necessary information to triangulate the data from routinely-reported laboratory-based AMR surveillance at the local, national and global level.
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11
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Guo N, Xia Y, Zeng W, Chen J, Wu Q, Shi Y, Li G, Huang Z, Wang G, Liu Y. Alginate-based aerogels as wound dressings for efficient bacterial capture and enhanced antibacterial photodynamic therapy. Drug Deliv 2022; 29:1086-1099. [PMID: 35373683 PMCID: PMC9048949 DOI: 10.1080/10717544.2022.2058650] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023] Open
Abstract
The development of novel wound dressings, such as aerogels, with rapid hemostasis and bactericidal capacities for pre-hospital care is necessary. To prevent the occurrence of bacterial resistance, antibacterial photodynamic therapy (aPDT) with broad-spectrum antibacterial ability and negligible bacterial resistance has been intensively studied. However, photosensitizers often suffer from poor water solubility, short singlet oxygen (1O2) half-life and restricted 1O2 diffusion distance. Herein, sodium alginate was covalently modified by photosensitizers and phenylboronic acid, and cross-linked by Ca(II) ions to generate SA@TPAPP@PBA aerogel after lyophilization as an antibacterial photodynamic wound dressing. Afterwards, its photodynamic and bacterial capture activities were intensively evaluated. Furthermore, its hemostasis and bactericidal efficiency against Staphylococcus aureus were assessed via in vitro and in vivo assays. First, chemical immobilization of photosensitizers led to an enhancement of its solubility. Moreover, it showed an excellent hemostasis capacity. Due to the formation of reversible covalent bonds between phenylboronic acid and diol groups on bacterial cell surface, the aerogel could capture S. aureus tightly and dramatically enhance aPDT. To sum up, the prepared aerogel illustrated excellent hemostasis capacity and antibacterial ability against S. aureus. Therefore, they have great potential to be utilized as wound dressing in clinical trials.
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Affiliation(s)
- Ning Guo
- Guangdong Key Laboratory for Research and Development of Natural Drugs, School of Pharmacy, Guangdong Medical University, Zhanjiang, China
| | - Yu Xia
- Guangdong Key Laboratory for Research and Development of Natural Drugs, School of Pharmacy, Guangdong Medical University, Zhanjiang, China
| | - Weishen Zeng
- Guangdong Key Laboratory for Research and Development of Natural Drugs, School of Pharmacy, Guangdong Medical University, Zhanjiang, China
| | - Jia Chen
- Guangdong Key Laboratory for Research and Development of Natural Drugs, School of Pharmacy, Guangdong Medical University, Zhanjiang, China
| | - Quanxin Wu
- Guangdong Key Laboratory for Research and Development of Natural Drugs, School of Pharmacy, Guangdong Medical University, Zhanjiang, China
| | - Yaxin Shi
- Guangdong Key Laboratory for Research and Development of Natural Drugs, School of Pharmacy, Guangdong Medical University, Zhanjiang, China
| | - Guoying Li
- Guangdong Key Laboratory for Research and Development of Natural Drugs, School of Pharmacy, Guangdong Medical University, Zhanjiang, China
| | - Zhuoyi Huang
- Guangdong Key Laboratory for Research and Development of Natural Drugs, School of Pharmacy, Guangdong Medical University, Zhanjiang, China
| | - Guanhai Wang
- Guangdong Key Laboratory for Research and Development of Natural Drugs, School of Pharmacy, Guangdong Medical University, Zhanjiang, China
| | - Yun Liu
- Guangdong Key Laboratory for Research and Development of Natural Drugs, School of Pharmacy, Guangdong Medical University, Zhanjiang, China.,The Marine Biomedical Research Institute of Guangdong, Zhanjiang, China
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