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. 2019 Dec 10;1(3):dlz070. doi: 10.1093/jacamr/dlz070

Table 1.

Overview of the rationale for moving to case-based surveillance of AMR with full susceptibility profiles

Perspectives Gaps in current AMR surveillance Potential value added
case-based surveillance full susceptibility reporting
Clinical decision-making
  • Lack of direct link between aggregate microbiological data and specific clinical syndromes

  • Limited information from aggregate data on isolates/samples and MDR to guide empirical treatment for individual patients

  • Improve knowledge of resistance profiles in patients with particular characteristics and syndromes

  • Enhance surveillance data as evidence for tailored clinical guidelines

  • Provide direct estimates of the MDR patterns by type of infection

  • Improve evidence for antibiotic selection in clinical practice

Public health practice
  • Insufficient information to interpret secular trends in AMR derived from isolate/sample-based surveillance data

  • Inappropriate to use isolate/sample-based surveillance data to assess effectiveness of public health interventions because of potential biases

  • Limited information on MDR

  • Provide more reliable information on AMR patterns and help to identify risk groups for resistant infections

  • Provide more reliable information for evaluating the effectiveness of public health interventions against AMR

  • Facilitate microbial source-tracking of MDR bacteria

  • Improve reporting for the incidence of AMR-related diseases by patient characteristic

Epidemiological research
  • Lack of critical information for further use of isolate/sample-based surveillance data in epidemiological analysis

  • Incomparability of AMR patterns identified within and across settings because of different sampling, testing and reporting practices

  • Potentially misleading public health interpretations of data

  • Facilitate epidemiological studies of risk factors for development of resistance and modelling studies of resistance dynamics

  • Provide clearly defined numerators and denominators for tracking AMR dynamics

  • Facilitate better understanding of the association between resistance profiles and consumption of individual antibiotics or groups of antibiotics