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ANTIMICROBIAL USE AND RESISTANCE SURVEILLANCE PILOT PROJECT LESSONS FROM THE DURBAN SITE

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Title: ANTIMICROBIAL USE AND RESISTANCE SURVEILLANCE PILOT PROJECT LESSONS FROM THE DURBAN SITE


1
ANTIMICROBIAL USE AND RESISTANCE SURVEILLANCE
PILOT PROJECT LESSONS FROM THE DURBAN SITE
  • Gray AL, Essack SY, Deedat F, Pillay T, van
    Maasdyk J, Holloway K, Sorensen TL, Sturm
    AWDept. Pharmacology and Dept. Medical
    Microbiology, Nelson R Mandela School of
    Medicine, School of Pharmaceutical Sciences,
    Univ. KwaZulu-Natal, Durban, South Africa,
    WHO/EDM, Geneva

2
Abstract
  •  Problem Statement The World Health
    Organizations global strategy for containing
    antimicrobial resistance recommends the
    development of methodologies that will enable
    developing countries to identify and track
    resistance trends in specific infections and
    geographical locations. Standard methods for such
    surveillance systems do not exist for
    resource-constrained settings.
  • Objectives To investigate the association
    between antibiotic use and resistance over time
    in respiratory tract infections in the Inner West
    metropolitan area of Durban.
  • Design Retrospective, time series analysis of
    antimicrobial use data and antimicrobial
    resistance of selected isolates.
  • Setting and population 7 randomly selected
    private pharmacies, 7 convenience sampled private
    dispensing practitioners and 7 randomly selected
    state-operated nurse-managed primary health care
    clinics.
  • Methods Antimicrobial use data were obtained
    from prescription records at sites representing a
    broad spectrum of socio-economic conditions and
    prescriber types. Sputum specimens were obtained
    from consenting patients presenting with
    self-reported cough with or without fever at 4
    sites in the selected geographical locale.
    Cultures positive for Streptococcus pneumoniae,
    Haemophilus influenzae and Moraxella catarrhalis
    were subjected to MIC determinations against
    ampicillin, erythromycin, chloramphenicol,
    cotrimoxazole and ciprofloxacin by means of agar
    dilution. NCCLS breakpoints were applied to
    determine resistance.
  • Outcome measures Percentage of patients seen (or
    prescriptions dispensed) in which an
    antimicrobial was prescribed antimicrobial usage
    in Defined Daily Doses per 100 patients seen
    percentage susceptibility of selected isolates.
  • Results High usage of older antimicrobial agents
    was seen in public sector clinics and lower usage
    of a wide range of agents, including newer
    broad-spectrum antimicrobials, in the private
    sector. Percentage resistance of selected
    isolates by time series per quarter showed an
    decreasing level of resistance amongst
    pneumococci to ampicillin and erythromycin, but
    continuously total resistance to cotrimoxazole.
    Increasing trends in resistance to ampicillin
    were shown amongst H influenzae, but decreasing
    trends in resistance to cotrimoxazole.
  • Conclusions Although no direct relationship
    between resistance levels and antimicrobial usage
    could be shown, the feasibility of establishing a
    system to generate data of this sort was
    demonstrated. Further analysis over time is
    planned.
  • Study funded by World Health Organization.

3
Background
  • In September 2001 the WHO released the Global
    Strategy for Containment of Antimicrobial
    Resistance (WHO/CDS/CSR/DRS/2001.2)
  • This document identified 67 interventions
    targeted at different groups
  • It also identified the need for linked
    surveillance of antimicrobial resistance and use,
    in order to assess these interventions
  • Not clear how to achieve this in
    resource-constrained setting

4
Objectives
  • To investigate the association between antibiotic
    use and resistance over time in respiratory tract
    infections in the Inner West metropolitan area of
    Durban, South Africa

5
Methods resistance
  • Sputum specimens
  • consenting patients with self-reported cough,
    with or without fever
  • 4 convenience sampled sites
  • Public and private sector
  • Standard laboratory work-up
  • Selective cultures for
  • Streptococcus pneumoniae
  • Haemophilus influenzae
  • Moraxella catarrhalis
  • MIC determinations
  • ampicillin, erythromycin, chloramphenicol,
    cotrimoxazole and ciprofloxacin
  • agar dilution
  • standard NCCLS breakpoints

6
Methods antimicrobial use
  • Retrospective prescription audit (2 weeks Rx
    per month)
  • 7 randomly selected private pharmacies
    (stratified by socio-economic status of area
    data from original prescriptions)
  • 7 convenience sampled private dispensing
    practitioners (stratified by socio-economic area
    data from clinical records)
  • 7 randomly selected primary health care clinics
    (stratified by size data from daily clinic
    registers)
  • Data analysis
  • patients seen (or prescriptions dispensed) in
    which an antimicrobial was prescribed
  • antimicrobial usage in Defined Daily Doses per
    100 patients seen (clinics and doctors) or
    prescriptions dispensed (pharmacies)
  • susceptibility of selected isolates - all by
    time series

7
S. pneumoniae resistance(ciprofloxacin not
tested)
8
H. Influenzae resistance(no resistance to
erythromycin or ciprofloxacin)
9
Antimicobial use overall
10
Antimicrobial use - cotrimoxazole
Winter
11
Antimicrobial use - quinolones
Winter
12
Antimicrobial use all antimicrobials
Winter
13
Conclusions and Acknowledgements
  • Although no direct relationship between
    resistance levels and antimicrobial usage could
    be shown, the feasibility of establishing a
    system to generate data of this sort was
    demonstrated
  • Given the differences in antimicrobial use
    patterns in different settings, interventions to
    contain the development of resistance will have
    to be carefully tailored for each setting
  • Thanks to WHO/EDM for funding this pilot
    project, the fieldworkers and laboratory staff,
    the staff at the facilities, for allowing us
    access to their patients and their data, the
    patients who provided sputum samples
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