ArticlesIdentification of individuals with gonorrhoea within sexual networks: a population-based study
Introduction
The incidence of sexually transmitted infections (STIs) has risen substantially in the UK over the past decade, increasing the pressure on genitourinary services and resulting in increased morbidity.1 This increase has been attributed to changes in sexual behaviour and risk-taking, together with increasing delays in access to treatment due to a crisis in sexual health service provision.1, 2 The prompt identification of cases of bacterial STIs and the notification and treatment of their sexual contacts (either through provider-led contact tracing or patient-led partner notification) has been the main public-health measure implemented to reduce infection.3 Identification and understanding of the nature of local sexual networks can help to target interventions towards places and people who are most at risk,3, 4 but is difficult, especially in major cities.5, 6
In London, UK, there are 32 genitourinary medicine clinics that are open access, require no referral, and provide free treatment for STIs. These clinics should provide fast and effective diagnosis and treatment to break transmission. However, the incidence of gonococcal infection remains high, and London has a disproportionate burden (45–50%) of all cases diagnosed in England and Wales.1 Gonorrhoea incidence in London rose sharply from the mid-1990s onwards, and only started to level off from 2003. Overall, gonorrhoea diagnoses fell by 11% from 2003 to 2004, with the most pronounced decrease occurring in heterosexual men and women. By contrast, diagnoses in men who have sex with men increased by 7% over the same period.1 Interventions to control STIs in London and many other major metropolitan areas are challenging; exhaustive contact tracing is unrealistic because patients may present to many different clinics, patients are unwilling or unable to identify many sexual partners, some of whom are anonymous, and partner notification in travellers and migrants to identify overseas partners might be difficult. Partner notification data therefore provide incomplete information on the nature and size of the major sexual networks, which limits attempts to control endemic infection.
Molecular epidemiology has been widely used to analyse outbreaks of disease in hospitals and the community7 and, for STIs, has the potential to identify individuals within the same sexual network.8 Provided that the molecular typing procedure is highly discriminatory, individuals who are not epidemiologically linked should be shown to be infected with different strains, whereas sexual contacts, and those within the same sexual network, should be shown to be infected with the same strain.8 For gonorrhoea, valuable information about the nature and size of sexual networks has been obtained by combining molecular typing with epidemiological data on sexual networks obtained through contact tracing, and this approach has elucidated sexual networks that would otherwise remain hidden. This approach has also identified larger networks than indicated by epidemiological data alone.9, 10, 11 However, so far the utility of molecular typing data to inform control has not been tested, mainly because data collection and analysis have been done retrospectively, and has not been attempted in a large metropolitan area with high rates of gonorrhoea.
We report here the use of a highly discriminatory typing method, Neisseria gonorrhoeae multi-antigen sequence typing (NG-MAST), which has been shown to identify epidemiologically linked individuals, but to distinguish between patients with no links.12 The aim of this study was to test the feasibility of characterising isolates from a large proportion of cases of gonorrhoea in a metropolitan area and to identify clusters of linked patients in the absence of contact tracing data.
Section snippets
Data collection and strain characterisation
Under the auspices of the national Gonococcal Resistance to Antimicrobials Surveillance Programme (GRASP), N gonorrhoeae isolates and demographic, clinical, and behavioural data were obtained from consecutive patients attending 13 major STI clinics, covering 77% of all reported cases of gonorrhoea in London between June 1 and Nov 30, 2004. Primary isolation and identification of gonococcal isolates was done at each referring laboratory and one isolate from every patient sent to a central
Results
A total of 2891 isolates of N gonorrhoeae were gathered from 13 clinics during 6 months, of which 2345 (81%) were successfully recovered and characterised by NG-MAST. Epidemiological data about the patients were available for 87% of these isolates, resulting in 2045 infections where strain characterisation and epidemiological data could be merged. 1539 cases (75%) were in men, 762 (50%) of whom were men who have sex with men. The demographic characteristics of the population (table 1) mirror
Discussion
We have shown that large clusters and newly emerging strains can be identified in a timely manner with the use of discriminatory strain typing in a major metropolitan area with high rates of gonorrhoea. Receipt of sample by the clinic to strain assignment can be achieved within 2 weeks, and the use of NG-MAST provided data that were far easier to analyse than those in previous studies with opa-typing.9, 15
NG-MAST showed wide diversity in the gonococcal population, confirming the high level of
References (19)
- et al.
A prospective social and molecular investigation of gonococcal transmission
Lancet
(2000) - et al.
Sexual networks: the integration of social and genetic data
Soc Sci Med
(1998) Mapping the issues: HIV and other sexually transmitted infections in the United Kingdom: 2005
(2005)- et al.
Vicious and virtuous circles in the dynamics of infectious disease and the provision of health care: gonorrhea in Britain as an example
J Infect Dis
(2005) - et al.
Determinants and consequences of sexual networks as they affect the spread of sexually transmitted infections
J Infect Dis
(2005) - et al.
The role of sexual partnership networks in the epidemiology of gonorrhoea
Sex Transm Dis
(1997) - et al.
Sexual histories, partnerships and networks associated with the transmission of gonorrhoea
Int J STD AIDS
(1998) - et al.
Sexual network analysis of a gonorrhoea outbreak
Sex Transm Infect
(2004) - et al.
Molecular epidemiology: focus on infection
Am J Epidemiol
(2001)
Cited by (69)
Neisseria gonorrhoeae molecular typing for understanding sexual networks and antimicrobial resistance transmission: A systematic review
2018, Journal of InfectionCitation Excerpt :In 13 studies9–11,13,15,16,19,20,24,25,28,30,43, the molecular typing data was used to describe and investigate the role of travel-associated sexual partnerships on N. gonorrhoeae transmission and acquisition. Some studies found that unique sequence types were more likely to have been acquired outside of the local area, whereas clustered isolates were more likely to have been acquired within the local area10,15,19,20. Fernando et al.17 found that patients attending a specialist STI clinic in Edinburgh, Scotland, infected with unique N. gonorrhoeae NG-MAST sequence types were more likely to have reported recent sexual contacts from outside the local area.
Multilocus Sequence Typing of Pathogens: Methods, Analyses, and Applications. Methods, Analyses, and Applications.
2017, Genetics and Evolution of Infectious Diseases: Second EditionMathematical Models in Infectious Disease Epidemiology
2017, Infectious Diseases, 2-Volume SetChanges in the six most common sequence types of Neisseria gonorrhoeae, including ST4378, identified by surveillance of antimicrobial resistance in northern Taiwan from 2006 to 2013
2016, Journal of Microbiology, Immunology and InfectionCitation Excerpt :The introduction and upsurge of ST359 might be due to its link with other countries, in particular the UK. Moreover, ST547, ST359, and ST225 are three of the seven major genotypes in men who have sex with men in the UK.23 In our study, ST225 was very different and was most common in heterosexuals, increasing from 2006 to 2009, but disappearing after 2012 (Fig. 5B).