Modelling of the transmission dynamics of carbapenem-resistant Klebsiella pneumoniae in hospitals and design of control strategies

Modelling antimicrobial resistance transmission to guide personalized antimicrobial stewardship interventions and infection control policies in healthcare setting: a pilot study

Infection control programs and antimicrobial stewardship have been proven effective in reducing the burden of diseases due to multidrug-resistant organisms, but quantifying the effect of each intervention is an open issue. For this aim, we propose a model to characterize the effect of interventions at single ward level. We adapted the Ross-Macdonald model to describe hospital cross-transmission dynamics of carbapenem resistant Klebsiella pneumoniae (CRKP), considering healthcare workers as the vectors transmitting susceptible and resistant pathogens among admitted patients. The model parameters were estimated from a literature review, further adjusted to reproduce observed clinical outcomes, and validated using real life data from a 2-year study in a university hospital. The model has been further explored through extensive sensitivity analysis, in order to assess the relevance of single interventions as well as their synergistic effects. Our model has been shown to be an effective tool to describe and predict the impact of interventions in reducing the prevalence of CRKP colonisation and infection, and can be extended to other specific hospital and pathological scenarios to produce tailored estimates of the most effective strategies.

Tracking the Outbreak of Carbapenem-Resistant Klebsiella pneumoniae in an Emergency Intensive Care Unit by Whole Genome Sequencing

Purpose

The spread of carbapenem-resistant Klebsiella pneumoniae (CRKP) has become a great threat to human health, especially in the intensive care unit. The aim of this study was to identify the origin and transmission route of a CRKP outbreak in an emergency intensive care unit (EICU), so as to provide prevention and control strategies for CRKP outbreak.

Methods

Between Mar and Jun 2018, 10 CRKP isolates from 5 patients in the EICU ward of Shanghai Ruijin hospital north were collected. Modified carbapenem inactivation method (mCIM) and whole-genome sequencing (WGS) were performed on all 10 CRKP isolates. By integrating the genomic and epidemiological data of our isolates and 9 CRKP isolates from an outbreak in another hospital, a putative transmission map was constructed.

Results

All 10 outbreak strains were carbapenemase positive in mCIM and belonged to the sequence type 11 (ST11) clone, harbored a set of resistance genes and virulence genes. The phylogenetic tree of CRKP isolates based on two outbreaks revealed that the initial isolate A1 in our EICU ward belonged to one branch of isolates in another hospital, this introductive isolate evolved and caused a subsequent outbreak in our EICU.

Conclusion

Integration of genomic and epidemiological data can yield a clear transmission map of CRKP outbreak. Monitoring the rapid evolution of CRKP at the early stage of outbreak, CRKP monitoring after patients are discharged, active surveillance of newly admitted patients, environmental hygiene and efficient antibiotic treatment may be the key to prevent and control of CRKP outbreak.