What were the risk factors and trends in antimicrobial resistance for enteric fever in London 2005-2012?

Purpose. A study was undertaken to determine the risk factors and trends in antimicrobial resistance for enteric fever.Methodology. Demographic, antimicrobial susceptibility, typing and epidemiological data were examined for 2005-2012 in patients with enteric fever in London. Single and multivariable logistic regression was used to determine the risk factors associated with antibiotic resistance.Results. 453 cases with Salmonella enterica subsp. enterica serovar Paratyphi A, 17 with S. Paratyphi B and 611 with S. enterica subsp. enterica serovar Typhi were examined. For travellers, 335 (88 %) of S. Paratyphi A isolates were resistant to ciprofloxacin, but resistance to other antimicrobials was low. Almost 80 % (395) of the S. Typhi isolates were resistant to ciprofloxacin, 131 (26 %) to ampicillin, 131 (27 %) to chloramphenicol, 137 (28 %) to trimethoprim and 171 (28 %) to sulphonamide. None of the isolates were resistant to cephalosporins.A trend analysis for S. Typhi isolates showed no significant change in resistance to ampicillin, chloramphenicol, sulphonamide and trimethoprim or for multidrug resistance (P=0.38). Overall resistance to ciprofloxacin increased for S. Paratyphi A (P=0.018) and for S. Typhi (P<0.001) but fell for S. Typhi in 2011-2012. Resistance profiles were reflected by specific phage types and countries visited by the travellers.Conclusions. The proportion of S. Typhi strains resistant to ampicillin, chloramphenicol and cotrimoxazole remained steady for the period 2005-2012. There was a significant increase in a trend for resistance to ciprofloxacin which increased until 2010, followed by a fall in 2011-2012. S. Paratyphi resistance to ciprofloxacin increased until 2012. Specific phage types were associated with resistance to specific antimicrobials and travel abroad

Development and evaluation of an outbreak surveillance system integrating whole genome sequencing data for non-typhoidal Salmonella in London and South East of England, 2016-17

An outbreak surveillance system for Salmonella integrating whole genome sequencing (WGS) and epidemiological data was developed in South East and London in 2016-17 to assess local WGS clusters for triage and investigation. Cases genetically linked within a 5 single-nucleotide polymorphism (SNP) single linkage cluster were assessed using a set of locally agreed thresholds based on time, person and place, for reporting to local health protection teams (HPTs). Between September 2016 and September 2017, 230 unique 5-SNP clusters (442 weekly reports) of non-typhoidal Salmonella 5-SNP WGS clusters were identified, of which 208 unique 5-SNP clusters (316 weekly reports) were not reported to the HPTs. In the remaining 22 unique clusters (126 weekly clusters) reported to HPTs, nine were known active outbreak investigations, seven were below locally agreed thresholds and six exceeded local thresholds. A common source or vehicle was identified in four of six clusters that exceeded locally agreed thresholds. This work demonstrates that a threshold-based surveillance system, taking into account time, place and genetic relatedness, is feasible and effective in directing the use of local public health resources for risk assessment and investigation of non-typhoidal Salmonella clusters

Development and evaluation of an outbreak surveillance system integrating whole genome sequencing data for non-typhoidal Salmonella in London and South East of England, 2016-17

An outbreak surveillance system for Salmonella integrating whole genome sequencing (WGS) and epidemiological data was developed in South East and London in 2016-17 to assess local WGS clusters for triage and investigation. Cases genetically linked within a 5 single-nucleotide polymorphism (SNP) single linkage cluster were assessed using a set of locally agreed thresholds based on time, person and place, for reporting to local health protection teams (HPTs). Between September 2016 and September 2017, 230 unique 5-SNP clusters (442 weekly reports) of non-typhoidal Salmonella 5-SNP WGS clusters were identified, of which 208 unique 5-SNP clusters (316 weekly reports) were not reported to the HPTs. In the remaining 22 unique clusters (126 weekly clusters) reported to HPTs, nine were known active outbreak investigations, seven were below locally agreed thresholds and six exceeded local thresholds. A common source or vehicle was identified in four of six clusters that exceeded locally agreed thresholds. This work demonstrates that a threshold-based surveillance system, taking into account time, place and genetic relatedness, is feasible and effective in directing the use of local public health resources for risk assessment and investigation of non-typhoidal Salmonella clusters