National Infection Service, Public Health Laboratory London, Public Health England, London, UK.
Department of Global Health and Infection, Brighton and Sussex Medical School, Brighton, UK.
Sex Transm Infect. 2020 Mar;96(2):106-109. doi: 10.1136/sextrans-2019-054025. Epub 2019 Oct 29.
We aimed to characterise gonorrhoea transmission patterns in a diverse urban population by linking genomic, epidemiological and antimicrobial susceptibility data.
isolates from patients attending sexual health clinics at Barts Health NHS Trust, London, UK, during an 11-month period underwent whole-genome sequencing and antimicrobial susceptibility testing. We combined laboratory and patient data to investigate the transmission network structure.
One hundred and fifty-eight isolates from 158 patients were available with associated descriptive data. One hundred and twenty-nine (82%) patients identified as male and 25 (16%) as female; four (3%) records lacked gender information. Self-described ethnicities were: 51 (32%) English/Welsh/Scottish; 33 (21%) white, other; 23 (15%) black British/black African/black, other; 12 (8%) Caribbean; 9 (6%) South Asian; 6 (4%) mixed ethnicity; and 10 (6%) other; data were missing for 14 (9%). Self-reported sexual orientations were 82 (52%) men who have sex with men (MSM); 49 (31%) heterosexual; 2 (1%) bisexual; data were missing for 25 individuals. Twenty-two (14%) patients were HIV positive. Whole-genome sequence data were generated for 151 isolates, which linked 75 (50%) patients to at least one other case. Using sequencing data, we found no evidence of transmission networks related to specific ethnic groups (p=0.64) or of HIV serosorting (p=0.35). Of 82 MSM/bisexual patients with sequencing data, 45 (55%) belonged to clusters of ≥2 cases, compared with 16/44 (36%) heterosexuals with sequencing data (p=0.06).
We demonstrate links between 50% of patients in transmission networks using a relatively small sample in a large cosmopolitan city. We found no evidence of HIV serosorting. Our results do not support assortative selectivity as an explanation for differences in gonorrhoea incidence between ethnic groups.
通过将基因组学、流行病学和抗生素敏感性数据联系起来,我们旨在描绘多样化城市人群中淋病的传播模式。
在英国伦敦 Barts Health NHS 信托的性健康诊所就诊的患者在 11 个月期间接受了全基因组测序和抗生素敏感性测试。我们结合实验室和患者数据来研究传播网络结构。
有 158 名患者的 158 个分离物有相关的描述性数据。129 名(82%)患者为男性,25 名(16%)为女性;4 名(3%)记录缺少性别信息。自我描述的种族是:51 名(32%)英格兰/威尔士/苏格兰人;33 名(21%)白人,其他;23 名(15%)英国黑人/非洲黑人/黑人,其他;12 名(8%)加勒比人;9 名(6%)南亚人;6 名(4%)混合种族;10 名(6%)其他;14 名(9%)的数据缺失。自我报告的性取向是 82 名(52%)男男性接触者(MSM);49 名(31%)异性恋者;2 名(1%)双性恋者;25 名个体的数据缺失。22 名(14%)患者 HIV 阳性。对 151 个分离物进行了全基因组序列数据生成,将 75 名(50%)患者与至少一名其他病例联系起来。使用测序数据,我们没有发现与特定种族(p=0.64)或 HIV 血清分型(p=0.35)有关的传播网络的证据。在有测序数据的 82 名 MSM/双性恋患者中,45 名(55%)属于≥2 例的病例群,而有测序数据的 44 名异性恋者中,有 16 名(36%)(p=0.06)。
我们在一个大的国际化城市中,用一个相对较小的样本,证明了在传播网络中的 50%的患者之间存在联系。我们没有发现 HIV 血清分型的证据。我们的结果不支持作为不同种族淋病发病率差异的解释的选择性选择。