CARD 2023: expanded curation, support for machine learning, and resistome prediction at the Comprehensive Antibiotic Resistance Database.

The Comprehensive Antibiotic Resistance Database (CARD; card.mcmaster.ca) combines the Antibiotic Resistance Ontology (ARO) with curated AMR gene (ARG) sequences and resistance-conferring mutations to provide an informatics framework for annotation and interpretation of resistomes. As of version 3.2.4, CARD encompasses 6627 ontology terms, 5010 reference sequences, 1933 mutations, 3004 publications, and 5057 AMR detection models that can be used by the accompanying Resistance Gene Identifier (RGI) software to annotate genomic or metagenomic sequences. Focused curation enhancements since 2020 include expanded ß-lactamase curation, incorporation of likelihood-based AMR mutations for Mycobacterium tuberculosis, addition of disinfectants and antiseptics plus their associated ARGs, and systematic curation of resistance-modifying agents. This expanded curation includes 180 new AMR gene families, 15 new drug classes, 1 new resistance mechanism, and two new ontological relationships: evolutionary_variant_of and is_small_molecule_inhibitor. In silico prediction of resistomes and prevalence statistics of ARGs has been expanded to 377 pathogens, 21,079 chromosomes, 2,662 genomic islands, 41,828 plasmids and 155,606 whole-genome shotgun assemblies, resulting in collation of 322,710 unique ARG allele sequences. New features include the CARD:Live collection of community submitted isolate resistome data and the introduction of standardized 15 character CARD Short Names for ARGs to support machine learning efforts.

Antibiotic prescribing practice in residential aged care facilities--health care providers' perspectives.

OBJECTIVE: To explore organisational workflow and workplace culture influencing antibiotic prescribing behaviour from the perspective of key health care providers working in residential aged care facilities (RACFs). DESIGN, SETTING AND PARTICIPANTS: Qualitative approach using semistructured interviews, focus groups and onsite observation between 8 January 2013 and 2 July 2013. Nursing staff, general practitioners and pharmacists servicing residents at 12 high-level care RACFs in Victoria were recruited. MAIN OUTCOME MEASURES: Emergent themes on antibiotic prescribing practices in RACFs. RESULTS: Sixty-one participants (40 nurses, 15 GPs and six pharmacists) participated. Factors influencing antibiotic prescribing practice have been divided into workflow-related and culture-related factors. Five major themes emerged among workflow-related factors: logistical challenges with provision of medical care, pharmacy support, nurse-driven infection management, institutional policies and guidelines, and external expertise and diagnostic facilities. Lack of onsite medical and pharmacy staff led to nursing staff adopting significant roles in infection management. However, numerous barriers hindered optimal antibiotic prescribing, especially inexperienced staff, lack of training of nurses in antibiotic use and lack of institutional infection management guidelines. With regard to culture-related factors, pressure from family to prescribe and institutional use of advance care directives were identified as important influences on antibiotic prescribing practices. CONCLUSIONS: Workflow- and culture-related barriers to optimal antibiotic prescribing were identified. This study has provided important insights to guide antimicrobial stewardship interventions in the RACF setting, particularly highlighting the role of nurses.

Antimicrobial stewardship in residential aged care facilities: need and readiness assessment.

BACKGROUND: Information about the feasibility, barriers and facilitators of antimicrobial stewardship (AMS) in residential aged care facilities (RACFs) has been scant. Exploring the prevailing perceptions and attitudes of key healthcare providers towards antibiotic prescribing behaviour, antibiotic resistance and AMS in the RACF setting is imperative to guide AMS interventions. METHODS: Semi-structured interviews and focus groups were conducted with key RACF healthcare providers until saturation of themes occurred. Participants were recruited using purposive and snowball sampling. The framework approach was applied for data analysis. RESULTS: A total of 40 nurses, 15 general practitioners (GPs) and 6 pharmacists from 12 RACFs were recruited. Five major themes emerged; perceptions of current antibiotic prescribing behaviour, perceptions of antibiotic resistance, attitude towards and understanding of AMS, perceived barriers to and facilitators of AMS implementation, and feasible AMS interventions. A higher proportion of GPs and pharmacists compared with nurses felt there was over-prescribing of antibiotics in the RACF setting. Antibiotic resistance was generally perceived as an issue for infection control rather than impacting clinical decisions. All key stakeholders were supportive of AMS implementation in RACFs; however, they recognized barriers related to workload and logistical issues. A range of practical AMS interventions were identified, with nursing-based education, aged-care specific antibiotic guidelines and regular antibiotic surveillance deemed most useful and feasible. CONCLUSIONS: Areas of antibiotic over-prescribing have been identified from different healthcare providers' perspectives. However, concern about the clinical impact of antibiotic resistance was generally lacking. Importantly, information gathered about feasibility, barriers and facilitators of various AMS interventions will provide important insights to guide development of AMS programs in the RACF setting.