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Biosensor for Detection of Antibiotic Resistant Staphylococcus Bacteria
Published on: May 8, 2013
Quantifying patient- and hospital-level antimicrobial resistance dynamics in Staphylococcus aureus from routinely
Quentin Leclerc1,2,3,4, Alastair Clements1,3, Helen Dunn5
1Centre for Mathematical Modelling of Infectious Diseases, Department of Infectious Disease Epidemiology, Faculty of Epidemiology and Public Health, London School of Hygiene and Tropical Medicine, London, UK.
Abstract:
Introduction. Antimicrobial resistance (AMR) to all antibiotic classes has been found in the pathogen Staphylococcus aureus. The reported prevalence of these resistances varies, driven by within-host AMR evolution at the patient level, and between-host transmission at the hospital level. Without dense longitudinal sampling, pragmatic analysis of AMR dynamics at multiple levels using routine surveillance data is essential to inform control measures.Gap Statement. The value and limitations of routinely collected hospital data to gain insight into AMR dynamics at the hospital and individual levels simultaneously are unclear.Methodology. We explored S. aureus AMR diversity in 70 000 isolates from a UK paediatric hospital between 2000-2021, using electronic datasets containing multiple routinely collected isolates per patient with phenotypic antibiograms and information on hospitalization and antibiotic consumption.Results. At the hospital level, the proportion of isolates that were meticillin-resistant (MRSA) increased between 2014-2020 from 25-50 %, before sharply decreasing to 30%, likely due to a change in inpatient demographics. Temporal trends in the proportion of isolates resistant to different antibiotics were often correlated in MRSA, but independent in meticillin-susceptible S. aureus. Ciprofloxacin resistance in MRSA decreased from 70-40 % of tested isolates between 2007-2020, likely linked to a national policy to reduce fluoroquinolone usage in 2007. At the patient level, we identified frequent AMR diversity, with 4 % of patients ever positive for S. aureus simultaneously carrying, at some point, multiple isolates with different resistances. We detected changes over time in AMR diversity in 3 % of patients ever positive for S. aureus. These changes equally represented gain and loss of resistance.Conclusion. Within this routinely collected dataset, we found that 65 % of changes in resistance within a patient's S. aureus population could not be explained by antibiotic exposure or between-patient transmission of bacteria, suggesting that within-host evolution via frequent gain and loss of AMR genes may be responsible for these changing AMR profiles. Our study highlights the value of exploring existing routine surveillance data to determine underlying mechanisms of AMR. These insights may substantially improve our understanding of the importance of antibiotic exposure variation, and the success of single S. aureus clones.
Insights
Routine surveillance data reveals Staphylococcus aureus antimicrobial resistance (AMR) dynamics. Within-host evolution, not just transmission, significantly drives AMR changes in patients.
Area of Science:
- Microbiology
- Infectious Diseases
- Epidemiology
Background:
- Antimicrobial resistance (AMR) in Staphylococcus aureus is a significant global health concern.
- Understanding AMR dynamics at both patient and hospital levels is crucial for effective control strategies.
- Routine surveillance data offers a pragmatic approach to analyze AMR trends without dense longitudinal sampling.
Purpose of the Study:
- To investigate Staphylococcus aureus AMR diversity and dynamics using routine hospital surveillance data.
- To differentiate between within-host AMR evolution and between-host transmission.
- To assess the value and limitations of electronic health records for AMR research.
Main Methods:
- Analysis of 70,000 Staphylococcus aureus isolates from a UK pediatric hospital (2000-2021).
- Utilized electronic datasets with phenotypic antibiograms and patient hospitalization/antibiotic consumption data.
- Examined AMR trends at hospital and individual patient levels.
Main Results:
- Meticillin-resistant Staphylococcus aureus (MRSA) prevalence fluctuated, increasing from 25-50% (2014-2020) then decreasing to 30%.
- Ciprofloxacin resistance in MRSA decreased significantly (70-40%) linked to reduced fluoroquinolone use.
- 4% of patients exhibited simultaneous multiple-resistance isolates, and 3% showed temporal AMR diversity within their S. aureus population.
Conclusions:
- 65% of resistance changes within a patient's S. aureus population were unexplained by antibiotic exposure or transmission.
- Within-host evolution, involving frequent gain/loss of AMR genes, is a likely driver of observed AMR profiles.
- Routine surveillance data is valuable for understanding AMR mechanisms and informing control measures.
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