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Taylor LN, Wilson BM, Singh M, Irvine J, Jolles SA, Kowal C, Bej TA, Crnich CJ, Jump RLP. Syndromic Antibiograms and Nursing Home Clinicians' Antibiotic Choices for Urinary Tract Infections. JAMA Netw Open 2023; 6:e2349544. [PMID: 38150250 PMCID: PMC10753399 DOI: 10.1001/jamanetworkopen.2023.49544] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/14/2023] [Accepted: 11/12/2023] [Indexed: 12/28/2023] Open
Abstract
Importance Empirical antibiotic prescribing in nursing homes (NHs) is often suboptimal. The potential for antibiograms to improve empirical antibiotic decision-making in NHs remains poorly understood. Objective To determine whether providing NH clinicians with a urinary antibiogram improves empirical antibiotic treatment of urinary tract infections (UTIs). Design, Setting, and Participants This was a survey study using clinical vignettes. Participants were recruited via convenience sampling of professional organization listservs of NH clinicians practicing in the US from December 2021 through April 2022. Data were analyzed from July 2022 to June 2023. Interventions Respondents were randomized to complete vignettes using a traditional antibiogram (TA), a weighted-incidence syndromic combination antibiogram (WISCA), or no tool. Participants randomized to antibiogram groups were asked to use the antibiogram to empirically prescribe an antibiotic. Participants randomized to the no tool group functioned as controls. Main Outcomes and Measures Empirical antibiotic selections were characterized as microbiologically (1) active and (2) optimal according to route of administration and spectrum of activity. Results Of 317 responses, 298 (95%) were included in the analysis. Duplicate responses (15 participants), location outside the US (2 participants), and uninterpretable responses (2 participants) were excluded. Most respondents were physicians (217 respondents [73%]) and had over 10 years of NH practice experience (155 respondents [52%]). A mixed-effects logistic model found that use of the TA (odds ratio [OR], 1.41; 95% CI, 1.19-1.68; P < .001) and WISCA (OR, 1.54; 95% CI, 1.30-1.84; P < .001) were statistically superior to no tool when choosing an active empirical antibiotic. A similarly constructed model found that use of the TA (OR, 1.94; 95% CI, 1.42-2.66; P < .001) and WISCA (OR, 1.7; 95% CI, 1.24-2.33; P = .003) were statistically superior to no tool when selecting an optimal empirical antibiotic. Although there were differences between tools within specific vignettes, when compared across all vignettes, the TA and WISCA performed similarly for active (OR, 1.09; 95% CI, 0.92-1.30; P = .59) and optimal (OR, 0.87; 95% CI, 0.64-1.20; P = .69) antibiotics. Conclusions and Relevance Providing NH clinicians with a urinary antibiogram was associated with selection of active and optimal antibiotics when empirically treating UTIs under simulated conditions. Although the antibiogram format was not associated with decision-making in aggregate, context-specific effects may have been present, supporting further study of syndromic antibiograms in clinical practice.
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Affiliation(s)
- Lindsay N. Taylor
- University of Wisconsin School of Medicine and Public Health, Madison
- William S. Middleton Veterans Affairs Medical Center, Madison
- University of Wisconsin Hospital and Clinics, Madison
| | - Brigid M. Wilson
- Geriatric Research Education and Clinical Center (GRECC), Veterans Affairs Northeast Ohio Healthcare System, Cleveland
- Division of Infectious Diseases and HIV Medicine in the Department of Medicine, Case Western Reserve University School of Medicine, Cleveland, Ohio
| | - Mriganka Singh
- Division of Geriatrics and Palliative Medicine, Department of Medicine, Warren Alpert School of Medicine at Brown University, Providence, Rhode Island
| | - Jessica Irvine
- University of Wisconsin School of Medicine and Public Health, Madison
| | - Sally A. Jolles
- University of Wisconsin School of Medicine and Public Health, Madison
| | | | - Taissa A. Bej
- Geriatric Research Education and Clinical Center (GRECC), Veterans Affairs Northeast Ohio Healthcare System, Cleveland
- Division of Infectious Diseases and HIV Medicine in the Department of Medicine, Case Western Reserve University School of Medicine, Cleveland, Ohio
| | - Christopher J. Crnich
- University of Wisconsin School of Medicine and Public Health, Madison
- William S. Middleton Veterans Affairs Medical Center, Madison
- University of Wisconsin Hospital and Clinics, Madison
| | - Robin L. P. Jump
- TECH-GRECC, Veterans Affairs Pittsburgh Healthcare System, Pittsburgh, Pennsylvania
- Division of Geriatric Medicine, Department of Medicine, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania
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Ekakoro JE, Guptill L, Hendrix K, Anderson M, Ruple A. Approaches Used to Construct Antibiograms for Dogs in a Veterinary Teaching Hospital in the United States. Antibiotics (Basel) 2023; 12:1034. [PMID: 37370353 DOI: 10.3390/antibiotics12061034] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2023] [Revised: 05/30/2023] [Accepted: 06/05/2023] [Indexed: 06/29/2023] Open
Abstract
Non-judicious antimicrobial use (AMU) is a major driver of antimicrobial resistance (AMR). In human hospitals, cumulative antibiograms are often used by clinicians to evaluate local susceptibility rates and to select the most appropriate empiric therapy with the aim of minimizing inappropriate AMU. However, the use of cumulative antibiograms to guide empiric antimicrobial therapy in veterinary hospitals in the United States is limited, and there are no specific guidelines or standardized methods available for the construction of antibiograms in veterinary clinical settings. The objective of this methods article is to describe the approaches that were used to construct antibiograms from clinical samples collected from dogs seen at a veterinary teaching hospital. Laboratory data for 563 dogs for the period from 1 January 2015 to 31 December 2015 was utilized. We used the Clinical and Laboratory Standards Institute (CLSI) guidelines for use in the construction of the antibiograms in human healthcare settings as the basis for the veterinary antibiograms. One general antibiogram and antibiograms stratified by hospital section, the anatomic region of sample collection/by sample type, were created and the challenges encountered in preparing these antibiograms were highlighted. The approaches described could be useful in guiding veterinary antibiogram development for empiric therapy.
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Affiliation(s)
- John E Ekakoro
- Department of Public and Ecosystem Health, College of Veterinary Medicine, Cornell University, Ithaca, NY 14853, USA
| | - Lynn Guptill
- Department of Veterinary Clinical Sciences, College of Veterinary Medicine, Purdue University, West Lafayette, IN 47907, USA
| | - Kenitra Hendrix
- Indiana Animal Disease Diagnostic Laboratory, Department of Comparative Pathobiology, College of Veterinary Medicine, Purdue University, West Lafayette, IN 47907, USA
| | - Melinda Anderson
- Department of Basic Medical Sciences, College of Veterinary Medicine, Purdue University, West Lafayette, IN 47907, USA
| | - Audrey Ruple
- Department of Population Health Sciences, Virginia-Maryland College of Veterinary Medicine, Virginia Tech, Blacksburg, VA 24061, USA
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Evaluation and Clinical Impact of Biofire FilmArray Pneumonia Panel Plus in ICU-Hospitalized COVID-19 Patients. Diagnostics (Basel) 2022; 12:diagnostics12123134. [PMID: 36553141 PMCID: PMC9777407 DOI: 10.3390/diagnostics12123134] [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: 10/20/2022] [Revised: 12/07/2022] [Accepted: 12/09/2022] [Indexed: 12/15/2022] Open
Abstract
Microbiological diagnosis by using commercial multiplex quantitative PCR systems provides great advantages over the conventional culture. In this work, the Biofire FilmArray Pneumonia Panel Plus (FAPP+) was used to test 144 low respiratory tract samples from 105 COVID-19 patients admitted to an Intensive Care Unit (ICU), detecting 78 pathogens in 59 (41%) samples. The molecular panel was evaluated by using the conventional culture (CC) as comparator, which isolated 42 pathogens in 40 (27.7%) samples. The overall percentage of agreement was 82.6%. Values of sensitivity (93%), specificity (62%), positive predictive value (50%), and negative predictive value (96%) were obtained. The mean time elapsed from sample extraction to modification of antibiotic treatment was 7.6 h. A change in antimicrobial treatment after the FAPP+ results was performed in 27% of patients. The FAPP+ is a highly sensitive diagnostic method that can be used to significantly reduce diagnostic time and that allows an early optimization of antimicrobial treatment.
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Larrosa MN, Canut-Blasco A, Benito N, Cantón R, Cercenado E, Docobo-Pérez F, Fernández-Cuenca F, Fernández-Domínguez J, Guinea J, López-Navas A, Moreno MÁ, Morosini MI, Navarro F, Martínez-Martínez L, Oliver A. Spanish Antibiogram Committee (COESANT) recommendations for cumulative antibiogram reports. ENFERMEDADES INFECCIOSAS Y MICROBIOLOGIA CLINICA (ENGLISH ED.) 2022:S2529-993X(22)00177-0. [PMID: 36175285 DOI: 10.1016/j.eimce.2022.09.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/27/2021] [Revised: 12/31/2021] [Accepted: 01/13/2022] [Indexed: 06/16/2023]
Abstract
The Spanish Antibiogram Committee (Comité Español del Antibiograma, COESANT) presents in this document a series of recommendations intending to unify how cumulative antibiogram reports must be made in Clinical Microbiology Spanish laboratories. This article is based on the information included in the Clinical Microbiology Procedure No. 51, «Preparation of cumulative reports on antimicrobial susceptibility» of the Spanish Society of Infectious Diseases and Clinical Microbiology (SEIMC), published in 2014. The recommendations also include the modifications in the definition of clinical interpretive categories recently published by the European Committee on Antimicrobial Susceptibility Testing (EUCAST) in 2019. Its final objective is to establish a homogeneous way of preparing these summaries to compare results from different centers or aggregate the information from these in order to carry out an adequate local or even national surveillance regarding the evolution of antimicrobial susceptibility.
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Affiliation(s)
- María Nieves Larrosa
- Servicio de Microbiología, Hospital Universitario Vall d'Hebron, Universitat Autònoma de Barcelona, Vall d'Hebron Institut de Recerca (VHIR), Barcelona, Spain; CIBER de Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III, Madrid, Spain; Red Española de Investigación en Patología Infecciosa (REIPI), Madrid, Spain.
| | | | - Natividad Benito
- Unidad de Enfermedades Infecciosas, Hospital de la Santa Creu i Sant Pau, Universitat Autònoma de Barcelona, Institut d'Investigació Biomèdica de Sant Pau (IIB Sant Pau), Barcelona, Spain
| | - Rafael Cantón
- CIBER de Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III, Madrid, Spain; Red Española de Investigación en Patología Infecciosa (REIPI), Madrid, Spain; Servicio de Microbiología, Hospital Universitario Ramón y Cajal, Instituto Ramón y Cajal de Investigación Sanitaria (IRYCIS), Madrid, Spain
| | - Emilia Cercenado
- Servicio de Microbiología y Enfermedades Infecciosas, Hospital General Universitario Gregorio Marañón, Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain; CIBER de Enfermedades Respiratorias (CIBERES), Instituto de Salud Carlos III, Madrid, Spain
| | - Fernando Docobo-Pérez
- Departamento de Microbiología, Universidad de Sevilla, Instituto de Biomedicina de Sevilla (IBIS), Hospital Universitario Virgen Macarena/CSIC/Universidad de Sevilla, Sevilla, Spain
| | - Felipe Fernández-Cuenca
- CIBER de Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III, Madrid, Spain; Red Española de Investigación en Patología Infecciosa (REIPI), Madrid, Spain; UGC Enfermedades Infecciosas y Microbiología Clínica, Instituto de Biomedicina de Sevilla (IBIS), Hospital Universitario Virgen Macarena/CSIC/Universidad de Sevilla, Sevilla, Spain
| | - Javier Fernández-Domínguez
- CIBER de Enfermedades Respiratorias (CIBERES), Instituto de Salud Carlos III, Madrid, Spain; Servicio de Microbiología, Hospital Central de Asturias, Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Oviedo, Spain
| | - Jesús Guinea
- Servicio de Microbiología y Enfermedades Infecciosas, Hospital General Universitario Gregorio Marañón, Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain; CIBER de Enfermedades Respiratorias (CIBERES), Instituto de Salud Carlos III, Madrid, Spain
| | - Antonio López-Navas
- Agencia Española de Medicamentos y Productos Sanitarios (AEMPS), Madrid, Spain
| | - Miguel Ángel Moreno
- Departamento de Sanidad Animal, Facultad de Veterinaria, Universidad Complutense, Madrid, Spain
| | - Mª Isabel Morosini
- CIBER de Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III, Madrid, Spain; Red Española de Investigación en Patología Infecciosa (REIPI), Madrid, Spain; Servicio de Microbiología, Hospital Universitario Ramón y Cajal, Instituto Ramón y Cajal de Investigación Sanitaria (IRYCIS), Madrid, Spain
| | - Ferran Navarro
- Servicio de Microbiología, Hospital de la Santa Creu i Sant Pau, Departamento de Genética y de Microbiología de la Universitat Autònoma de Barcelona, Institut d'Investigació Biomèdica de Sant Pau (IIB Sant Pau), Barcelona, Spain
| | - Luis Martínez-Martínez
- CIBER de Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III, Madrid, Spain; Red Española de Investigación en Patología Infecciosa (REIPI), Madrid, Spain; Unidad de Gestión Clínica de Microbiología, Hospital Reina Sofía, Departamento de Química Agrícola, Edafología y Microbiología, Universidad de Córdoba, Instituto Maimónides de Investigación Biomédica de Córdoba (IMIBIC), Córdoba, Spain
| | - Antonio Oliver
- CIBER de Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III, Madrid, Spain; Red Española de Investigación en Patología Infecciosa (REIPI), Madrid, Spain; Servicio de Microbiología, Hospital Universitario Son Espases, Instituto de Investigación Sanitaria Illes Balears (IdISBa), Palma de Mallorca, Spain
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Recomendaciones del Comité Español del Antibiograma (COESANT) para la realización de los Informes de Sensibilidad Antibiótica Acumulada. Enferm Infecc Microbiol Clin 2022. [DOI: 10.1016/j.eimc.2022.01.004] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
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The Path of More Resistance: A Comparison of NHSN and CLSI Criteria in Developing Cumulative Antimicrobial Susceptibility Test Reports and Institutional Antibiograms. J Clin Microbiol 2021; 60:e0136621. [PMID: 34851679 DOI: 10.1128/jcm.01366-21] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
Background In the absence of antimicrobial susceptibility data, the institutional antibiogram is a valuable tool to guide clinicians in the empiric treatment of infections. However, there is a misunderstanding on how best to prepare cumulative antimicrobial susceptibility testing reports (CASTRs) to guide empiric therapy (e.g., routine antibiogram) versus monitoring antimicrobial resistance, with the former following guidance from the Clinical Laboratory Standards Institute (CLSI), and the latter from Center for Disease Control and Preventions National Healthcare Safety Network (NHSN). These criteria vary markedly in their exclusion or inclusion of isolates cultured repeatedly from the same patient. Methods We compared rates of non-susceptibility (NS)using annual data from a large teaching healthcare system subset to isolates eligible by either NHSN criteria or CLSI criteria. Results For a panel of the three most prevalent gram-negative pathogens in combination with clinically relevant antimicrobial agents (or priority pathogen-agent combinations, PPACs), we found that the inclusion of duplicate isolates by NHSN criteria yielded higher NS rates than when CLSI criteria (for which duplicate isolates are not included) were applied. Conclusions Patients with duplicate isolates may not be representative of antimicrobial resistance within a population. For this reason, users of CASTR data should carefully consider that the criteria used to generate these reports can impact resulting NS rates, and therefore maintain the distinction between CASTRs created for different purposes.
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Sahra S, Jahangir A, De Chavez V. Antimicrobial Stewardship: A Review for Internal Medicine Physicians. Cureus 2021; 13:e14385. [PMID: 33976999 PMCID: PMC8106921 DOI: 10.7759/cureus.14385] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023] Open
Abstract
Antimicrobial stewardship is the need of the hour to prevent the collapse of our health care system at the hands of a pandemic of resistant pathogens. Inappropriate and indiscriminate abuse of antibiotics has left very few options for prescribing physicians as most of the pathogens, particularly gram-negative, are resistant to the major antibiotics. This article reviews the importance of Antimicrobial Stewardship Programs (ASP) for internal medicine physicians and residents. Commonly encountered clinical scenarios are discussed. Appropriate indications of antibiotics, pathogen-guided prescriptions, adverse effects of common antibiotics, and options to use newer antibiotics are reviewed. The role of a health care team is highlighted. The evidence-based steps taken to ensure ASPs implementation are reiterated to serve as an educational guide for medical residents and physicians.
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Affiliation(s)
- Syeda Sahra
- Internal Medicine, Staten Island University Hospital Northwell, Staten Island, USA
| | - Abdullah Jahangir
- Internal Medicine, Staten Island University Hospital, Staten Island, USA
| | - Vincent De Chavez
- Infectious Diseases, Staten Island University Hospital, Staten Island, USA
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Utilization of cumulative antibiograms for public health surveillance: Trends in Escherichia coli and Klebsiella pneumoniae susceptibility, Massachusetts, 2008-2018. Infect Control Hosp Epidemiol 2020; 42:169-175. [PMID: 32847644 DOI: 10.1017/ice.2020.395] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
BACKGROUND Antimicrobial resistance is an urgent public health threat. Identifying trends in antimicrobial susceptibility can inform public health policy at the state and local levels. OBJECTIVE To determine the ability of statewide antibiogram aggregation for public health surveillance to identify changes in antimicrobial resistance trends. DESIGN Facility-level trend analysis. METHODS Crude and adjusted trend analyses of the susceptibility of Escherichia coli and Klebsiella pneumoniae to particular antibiotics, as reported by aggregated antibiograms, were examined from 2008 through 2018. Multivariable regression analyses via generalized linear mixed models were used to examine associations between hospital characteristics and trends of E. coli and K. pneumoniae susceptibility to ciprofloxacin and ceftriaxone. RESULTS E. coli and K. pneumoniae showed inverse trends in drug susceptibility over time. K. pneumoniae susceptibility to fluoroquinolones increased by 5% between 2008 and 2018 (P < .05). In contrast, E. coli susceptibility declined during the same period to ceftriaxone (6%), gentamicin (4%), and fluoroquinolones (4%) (P < .05). When compared to Boston hospitals, E. coli isolates from hospitals in other regions had a >4% higher proportion of susceptibility to ciprofloxacin and a >3% higher proportion of susceptibility to ceftriaxone (P < .05). Isolates of K. pneumoniae had higher susceptibility to ciprofloxacin (>3%) and ceftriaxone (>1.5%) in all regions when compared to Boston hospitals (P < .05). CONCLUSIONS Cumulative antibiograms can be used to monitor antimicrobial resistance, to discern regional and facility differences, and to detect changes in trends. Furthermore, because the number of years that hospitals contributed reports to the state-level aggregate had no significant influence on susceptibility trends, other states should not be discouraged by incomplete hospital compliance.
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Church DL, Naugler C. Essential role of laboratory physicians in transformation of laboratory practice and management to a value-based patient-centric model. Crit Rev Clin Lab Sci 2020; 57:323-344. [PMID: 32180485 DOI: 10.1080/10408363.2020.1720591] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
Abstract
The laboratory is a vital part of the continuum of patient care. In fact, there are few programs in the healthcare system that do not rely on ready access and availability of complex diagnostic laboratory services. The existing transactional model of laboratory "medical practice" will not be able to meet the needs of the healthcare system as it rapidly shifts toward value-based care and precision medicine, which demands that practice be based on total system indicators, clinical effectiveness, and patient outcomes. Laboratory "value" will no longer be focused primarily on internal testing quality and efficiencies but rather on the relative cost of diagnostic testing compared to direct improvement in clinical and system outcomes. The medical laboratory as a "business" focused on operational efficiency and cost-controls must transform to become an essential clinical service that is a tightly integrated equal partner in direct patient care. We would argue that this paradigm shift would not be necessary if laboratory services had remained a "patient-centric" medical practice throughout the last few decades. This review is focused on the essential role of laboratory physicians in transforming laboratory practice and management to a value-based patient-centric model. Value-based practice is necessary not only to meet the challenges of the new precision medicine world order but also to bring about sustainable healthcare service delivery.
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Affiliation(s)
- Deirdre L Church
- Department of Pathology and Laboratory Medicine, Faculty of Medicine, University of Calgary, Calgary, AB, Canada.,Department of Medicine, Faculty of Medicine, University of Calgary, Calgary, AB, Canada.,Department of Community Health Sciences, Faculty of Medicine, University of Calgary, Calgary, AB, Canada
| | - Christopher Naugler
- Department of Pathology and Laboratory Medicine, Faculty of Medicine, University of Calgary, Calgary, AB, Canada.,Department of Community Health Sciences, Faculty of Medicine, University of Calgary, Calgary, AB, Canada
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Hughes MSA, Dosa DM, Caffrey AR, Appaneal HJ, Jump RLP, Lopes V, LaPlante KL. Antibiograms Cannot Be Used Interchangeably Between Acute Care Medical Centers and Affiliated Nursing Homes. J Am Med Dir Assoc 2019; 21:72-77. [PMID: 31537479 DOI: 10.1016/j.jamda.2019.07.016] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2019] [Revised: 07/16/2019] [Accepted: 07/17/2019] [Indexed: 02/02/2023]
Abstract
OBJECTIVE To determine whether antibiograms for Veterans Affairs (VA) nursing homes (NHs), termed Community Living Centers, are similar to those from their affiliated acute care medical centers. DESIGN Descriptive study. SETTING AND PARTICIPANTS We compared the 2017 antibiograms for VA NHs to their affiliated VA medical centers (VAMCs). Antibiograms included antibiotic susceptibility rates for commonly observed bacteria in this setting (Staphylococcus aureus, Enterococcus spp, Escherichia coli, Klebsiella spp, Proteus mirabilis, and Pseudomonas aeruginosa). METHODS Antibiograms were considered to be in complete agreement when the overall susceptibility rate between the NH and affiliated VAMC was either at or above 80% or below 80% across all bacteria and antibiotics. Average percentage of bacteria-antibiotic comparisons in disagreement per facility pair, and number of facilities with agreement for specific bacteria-antibiotic comparisons were also assessed. The chi-square test was used to compare disagreement between NH-VAMC facilities based on geographic proximity of the NH to the VAMC, culture source, and bed size. RESULTS A total of 119 NH-VAMC affiliate pairs were included in this analysis, with 71% (84/119) on the same campus and 29% (35/119) on geographically distinct campuses. None of the NH-VAMC pairs demonstrated complete agreement (all bacteria vs all antibiotics) between their antibiograms. On average, 20% of the bacteria-antibiotic comparisons from the antibiogram disagreed clinically per NH-VAMC pair, and almost twice as often the nursing home had lower susceptibility (higher resistance) than the acute care facility. Some bacteria-antibiotic comparisons agreed in all facilities (eg, E coli-imipenem; S aureus-linezolid; S aureus-vancomycin), while others showed greater disagreement (eg, Klebsiella spp-cefazolin; Klebsiella spp-ampicillin-sulbactam; P aeruginosa-ciprofloxacin). Rates of clinical disagreement were similar by geographic proximity of the NH to the VAMC, culture source, and bed size. CONCLUSIONS AND IMPLICATIONS Overall, this study showed a moderate lack of agreement between VA NH antibiograms and their affiliate VAMC antibiograms. Our data suggest that antibiograms of acute care facilities are often not accurate approximations of the nursing home resistance patterns and therefore should be used with caution (if at all) in guiding empiric antibiotic therapy.
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Affiliation(s)
- Maria-Stephanie A Hughes
- Infectious Diseases Research Program, Providence Veterans Affairs Medical Center, Providence, RI; Center of Innovation for Long Term Services and Supports, Providence Veterans Affairs Medical Center, Providence, RI; University of Rhode Island, Department of Pharmacy Practice, College of Pharmacy, Kingston, RI
| | - David M Dosa
- Infectious Diseases Research Program, Providence Veterans Affairs Medical Center, Providence, RI; Center of Innovation for Long Term Services and Supports, Providence Veterans Affairs Medical Center, Providence, RI; University of Rhode Island, Department of Pharmacy Practice, College of Pharmacy, Kingston, RI; School of Public Health, Brown University, Providence, RI
| | - Aisling R Caffrey
- Infectious Diseases Research Program, Providence Veterans Affairs Medical Center, Providence, RI; Center of Innovation for Long Term Services and Supports, Providence Veterans Affairs Medical Center, Providence, RI; University of Rhode Island, Department of Pharmacy Practice, College of Pharmacy, Kingston, RI; School of Public Health, Brown University, Providence, RI
| | - Haley J Appaneal
- Infectious Diseases Research Program, Providence Veterans Affairs Medical Center, Providence, RI; Center of Innovation for Long Term Services and Supports, Providence Veterans Affairs Medical Center, Providence, RI; University of Rhode Island, Department of Pharmacy Practice, College of Pharmacy, Kingston, RI; School of Public Health, Brown University, Providence, RI
| | - Robin L P Jump
- Geriatric Research Education and Clinical Center (GRECC) and the Specialty Care Center of Innovation, Louis Stokes Cleveland Department of Veterans Affairs Medical Center, Cleveland, OH; Division of Infectious Diseases and HIV Medicine, Department of Medicine and Department of Population & Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH
| | - Vrishali Lopes
- Infectious Diseases Research Program, Providence Veterans Affairs Medical Center, Providence, RI
| | - Kerry L LaPlante
- Infectious Diseases Research Program, Providence Veterans Affairs Medical Center, Providence, RI; Center of Innovation for Long Term Services and Supports, Providence Veterans Affairs Medical Center, Providence, RI; University of Rhode Island, Department of Pharmacy Practice, College of Pharmacy, Kingston, RI; Warren Alpert Medical School of Brown University, Division of Infectious Diseases, Providence, RI.
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