Real-time validation and presentation of the cumulative antibiogram and implications of presenting a standard format using a novel in-house software: ABSOFT

Wilson, Godwin; Badarudeen, Shaherudeen; Godwin, Angela

doi:10.1016/j.ajic.2010.02.015

Cited by 10 publications

(5 citation statements)

References 15 publications

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“…It can show the antibiogram based on the bacterial species, wards, and sites of acquisition (e.g., from the community). It also compares the antibiotic data based on the National Nosocomial Infections Surveillance (NNIS) system benchmark (now National Health Surveillance Network [NHSN]) (179). Local surveillance may aid empirical antibiotic choice in seriously ill patients.…”

Section: The Need For Regional Surveillance Studiesmentioning

confidence: 99%

β-Lactamase Production in Key Gram-Negative Pathogen Isolates from the Arabian Peninsula

et al. 2013

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SUMMARY Infections due to Gram-negative bacilli (GNB) are a leading cause of morbidity and mortality worldwide. The extent of antibiotic resistance in GNB in countries of the Gulf Cooperation Council (GCC), namely, Saudi Arabia, United Arab Emirates, Kuwait, Qatar, Oman, and Bahrain, has not been previously reviewed. These countries share a high prevalence of extended-spectrum-β-lactamase (ESBL)- and carbapenemase-producing GNB, most of which are associated with nosocomial infections. Well-known and widespread β-lactamases genes (such as those for CTX-M-15, OXA-48, and NDM-1) have found their way into isolates from the GCC states. However, less common and unique enzymes have also been identified. These include PER-7, GES-11, and PME-1. Several potential risk factors unique to the GCC states may have contributed to the emergence and spread of β-lactamases, including the unnecessary use of antibiotics and the large population of migrant workers, particularly from the Indian subcontinent. It is clear that active surveillance of antimicrobial resistance in the GCC states is urgently needed to address regional interventions that can contain the antimicrobial resistance issue.

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Section: The Need For Regional Surveillance Studiesmentioning

confidence: 99%

β-Lactamase Production in Key Gram-Negative Pathogen Isolates from the Arabian Peninsula

et al. 2013

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“…These tools range in complexity and function. Some simpler tools work to provide improved antibiograms (33) or work similarly to an antibiogram to help in the selection of an appropriate empirical antimicrobial agent (34). Other software can work to support the determination of whether or not a true infection is present (35) or can alert a physician if a patient is failing therapy (36).…”

Section: Advanced Clinical Decision Support Toolsmentioning

confidence: 99%

Clinical Microbiology Informatics

et al. 2014

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SUMMARY The clinical microbiology laboratory has responsibilities ranging from characterizing the causative agent in a patient's infection to helping detect global disease outbreaks. All of these processes are increasingly becoming partnered more intimately with informatics. Effective application of informatics tools can increase the accuracy, timeliness, and completeness of microbiology testing while decreasing the laboratory workload, which can lead to optimized laboratory workflow and decreased costs. Informatics is poised to be increasingly relevant in clinical microbiology, with the advent of total laboratory automation, complex instrument interfaces, electronic health records, clinical decision support tools, and the clinical implementation of microbial genome sequencing. This review discusses the diverse informatics aspects that are relevant to the clinical microbiology laboratory, including the following: the microbiology laboratory information system, decision support tools, expert systems, instrument interfaces, total laboratory automation, telemicrobiology, automated image analysis, nucleic acid sequence databases, electronic reporting of infectious agents to public health agencies, and disease outbreak surveillance. The breadth and utility of informatics tools used in clinical microbiology have made them indispensable to contemporary clinical and laboratory practice. Continued advances in technology and development of these informatics tools will further improve patient and public health care in the future.

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“…Rule-based technology (RBT) can ease antibiogram creation by automated inclusion and exclusion of cultures and susceptibilities by triggering specific rules and criteria [ 9 , 10 , 11 ]. However, optimization of RBT requires understanding the rules and re-investment [ 12 ]. In one of his many addresses pertaining to quality improvement, Dr. Berwick states what he calls the central law of improvement, “Every system is perfectly designed to achieve exactly the results that it achieves.” [ 13 ].…”

Section: Introductionmentioning

confidence: 99%

Deficiencies of Rule-Based Technology-Generated Antibiograms for Specialized Care Units

Hill,

Todor

2023

Antibiotics

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The objective of this study was to compare the pathogens and susceptibilities of the current automated, rule-based technology (RBT) antibiogram with one manually collected through chart review with additional rules applied. This study was a two-year, retrospective cohort study and included all bacterial cultures within the first 30 days from patients admitted to a single Burn Center. The current RBT antibiogram served as the control, and new antibiogram versions were created using additional rules and compared to the control. Six-hundred fifty-seven patients were admitted (61% excluded for lack of cultures). 59% had at least one hospital-acquired risk factor, with over one-third having recent illicit drug use and one-third having a recent hospitalization. Of the 410 cultures included, 57% were Gram-negative, and half were from wound infections. Sensitivities were significantly different when comparing the manual and the RBT version after including factors such as days since admission, presence of hospital-acquired risk factors, or previous antibiotic courses. Recommended empiric Gram-negative antibiotics changed from double coverage to a single β-lactam with >90% susceptibility. The susceptibilities between the first and subsequent courses were dramatically different. Before developing an antibiogram or interpreting the output, it is important to consider which automated criteria are utilized, especially for units with extended lengths of stay.

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Real-time validation and presentation of the cumulative antibiogram and implications of presenting a standard format using a novel in-house software: ABSOFT

Cited by 10 publications

References 15 publications

β-Lactamase Production in Key Gram-Negative Pathogen Isolates from the Arabian Peninsula

β-Lactamase Production in Key Gram-Negative Pathogen Isolates from the Arabian Peninsula

Clinical Microbiology Informatics

Deficiencies of Rule-Based Technology-Generated Antibiograms for Specialized Care Units

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