Cohort profile: GRACE - a residential aged care cohort examining factors influencing antimicrobial resistance carriage.


Journal

BMC geriatrics
ISSN: 1471-2318
Titre abrégé: BMC Geriatr
Pays: England
ID NLM: 100968548

Informations de publication

Date de publication:
28 08 2023
Historique:
received: 17 11 2022
accepted: 03 08 2023
medline: 31 8 2023
pubmed: 29 8 2023
entrez: 28 8 2023
Statut: epublish

Résumé

The emergence of antimicrobial-resistant bacteria represents a considerable threat to human health, particularly for vulnerable populations such as those living in residential aged care. However, antimicrobial resistance carriage and modes of transmission remain incompletely understood. The Generating evidence on antimicrobial Resistance in the Aged Care Environment (GRACE) study was established to determine principal risk factors of antimicrobial resistance carriage and transmission in residential aged care facilities (RACFs). This article describes the cohort characteristics, national representation, and planned analyses for this study. Between March 2019 and March 2020, 279 participants were recruited from five South Australian RACFs. The median age was 88.6 years, the median period in residence was 681 days, and 71.7% were female. A dementia diagnosis was recorded in 54.5% and more than two thirds had moderate to severe cognitive impairment (68.8%). 61% had received at least one course of antibiotics in the 12 months prior to enrolment. To investigate the representation of the GRACE cohort to Australians in residential aged care, its characteristics were compared to a subset of the historical cohort of the Registry of Senior Australians (ROSA). This included 142,923 individuals who were permanent residents of RACFs on June 30th, 2017. GRACE and ROSA cohorts were similar in age, sex, and duration of residential care, prevalence of health conditions, and recorded dementia diagnoses. Differences were observed in care requirements and antibiotic exposure (both higher for GRACE participants). GRACE participants had fewer hospital visits compared to the ROSA cohort, and a smaller proportion were prescribed psycholeptic medications. We have assembled a cohort of aged care residents that is representative of the Australian aged care population, and which provides a basis for future analyses. Metagenomic data isolated from participants and built environments will be used to determine microbiome and resistome characteristics of an individual and the facility. Individual and facility risk exposures will be aligned with metagenomic data to identify principal determinants for antimicrobial resistance carriage. Ultimately, this analysis will inform measures aimed at reducing the emergence and spread of antimicrobial resistant pathogens in this high-risk population.

Sections du résumé

BACKGROUND
The emergence of antimicrobial-resistant bacteria represents a considerable threat to human health, particularly for vulnerable populations such as those living in residential aged care. However, antimicrobial resistance carriage and modes of transmission remain incompletely understood. The Generating evidence on antimicrobial Resistance in the Aged Care Environment (GRACE) study was established to determine principal risk factors of antimicrobial resistance carriage and transmission in residential aged care facilities (RACFs). This article describes the cohort characteristics, national representation, and planned analyses for this study.
METHODS
Between March 2019 and March 2020, 279 participants were recruited from five South Australian RACFs. The median age was 88.6 years, the median period in residence was 681 days, and 71.7% were female. A dementia diagnosis was recorded in 54.5% and more than two thirds had moderate to severe cognitive impairment (68.8%). 61% had received at least one course of antibiotics in the 12 months prior to enrolment.
RESULTS
To investigate the representation of the GRACE cohort to Australians in residential aged care, its characteristics were compared to a subset of the historical cohort of the Registry of Senior Australians (ROSA). This included 142,923 individuals who were permanent residents of RACFs on June 30th, 2017. GRACE and ROSA cohorts were similar in age, sex, and duration of residential care, prevalence of health conditions, and recorded dementia diagnoses. Differences were observed in care requirements and antibiotic exposure (both higher for GRACE participants). GRACE participants had fewer hospital visits compared to the ROSA cohort, and a smaller proportion were prescribed psycholeptic medications.
CONCLUSIONS
We have assembled a cohort of aged care residents that is representative of the Australian aged care population, and which provides a basis for future analyses. Metagenomic data isolated from participants and built environments will be used to determine microbiome and resistome characteristics of an individual and the facility. Individual and facility risk exposures will be aligned with metagenomic data to identify principal determinants for antimicrobial resistance carriage. Ultimately, this analysis will inform measures aimed at reducing the emergence and spread of antimicrobial resistant pathogens in this high-risk population.

Identifiants

pubmed: 37641010
doi: 10.1186/s12877-023-04215-3
pii: 10.1186/s12877-023-04215-3
pmc: PMC10464000
doi:

Substances chimiques

Anti-Bacterial Agents 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

521

Informations de copyright

© 2023. BioMed Central Ltd., part of Springer Nature.

Références

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pubmed: 22432671
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pubmed: 29654048
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Auteurs

Lucy Carpenter (L)

Microbiome and Host Health Programme, South Australian Health and Medical Research Institute, 5D332, Flinders Medical Centre, Flinders Drive, Bedford Park, Adelaide, SA, 5042, Australia.
College of Medicine and Public Health, Flinders University, Adelaide, SA, Australia.

Andrew P Shoubridge (AP)

Microbiome and Host Health Programme, South Australian Health and Medical Research Institute, 5D332, Flinders Medical Centre, Flinders Drive, Bedford Park, Adelaide, SA, 5042, Australia. andrew.shoubridge@sahmri.com.
College of Medicine and Public Health, Flinders University, Adelaide, SA, Australia. andrew.shoubridge@sahmri.com.

Erin Flynn (E)

Microbiome and Host Health Programme, South Australian Health and Medical Research Institute, 5D332, Flinders Medical Centre, Flinders Drive, Bedford Park, Adelaide, SA, 5042, Australia.
National Centre for Epidemiology and Population Health, Australian National University, Canberra, ACT, Australia.

Catherine Lang (C)

Registry of Senior Australians, South Australian Health and Medical Research Institute, Adelaide, SA, Australia.

Steven L Taylor (SL)

Microbiome and Host Health Programme, South Australian Health and Medical Research Institute, 5D332, Flinders Medical Centre, Flinders Drive, Bedford Park, Adelaide, SA, 5042, Australia.
College of Medicine and Public Health, Flinders University, Adelaide, SA, Australia.

Lito E Papanicolas (LE)

Microbiome and Host Health Programme, South Australian Health and Medical Research Institute, 5D332, Flinders Medical Centre, Flinders Drive, Bedford Park, Adelaide, SA, 5042, Australia.
College of Medicine and Public Health, Flinders University, Adelaide, SA, Australia.
SA Pathology, Adelaide, SA, Australia.

Josephine Collins (J)

Microbiome and Host Health Programme, South Australian Health and Medical Research Institute, 5D332, Flinders Medical Centre, Flinders Drive, Bedford Park, Adelaide, SA, 5042, Australia.

David Gordon (D)

SA Pathology, Adelaide, SA, Australia.
Department of Microbiology and Infectious Diseases, Flinders Medical Centre, Adelaide, SA, Australia.

David J Lynn (DJ)

College of Medicine and Public Health, Flinders University, Adelaide, SA, Australia.
Computational & Systems Biology Programme, South Australian Health and Medical Research Institute, Adelaide, SA, Australia.

Maria Crotty (M)

College of Medicine and Public Health, Flinders University, Adelaide, SA, Australia.
Southern Adelaide Local Health Network, SA Health, Adelaide, SA, Australia.

Craig Whitehead (C)

College of Medicine and Public Health, Flinders University, Adelaide, SA, Australia.
Southern Adelaide Local Health Network, SA Health, Adelaide, SA, Australia.

Lex E X Leong (LEX)

SA Pathology, Adelaide, SA, Australia.

Steve L Wesselingh (SL)

Microbiome and Host Health Programme, South Australian Health and Medical Research Institute, 5D332, Flinders Medical Centre, Flinders Drive, Bedford Park, Adelaide, SA, 5042, Australia.
College of Medicine and Public Health, Flinders University, Adelaide, SA, Australia.

Kerry Ivey (K)

Microbiome and Host Health Programme, South Australian Health and Medical Research Institute, 5D332, Flinders Medical Centre, Flinders Drive, Bedford Park, Adelaide, SA, 5042, Australia.
Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.

Maria C Inacio (MC)

Registry of Senior Australians, South Australian Health and Medical Research Institute, Adelaide, SA, Australia.
Allied Health and Human Performance, University of South Australia, Adelaide, SA, Australia.

Geraint B Rogers (GB)

Microbiome and Host Health Programme, South Australian Health and Medical Research Institute, 5D332, Flinders Medical Centre, Flinders Drive, Bedford Park, Adelaide, SA, 5042, Australia.
College of Medicine and Public Health, Flinders University, Adelaide, SA, Australia.

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