dc.contributor.author |
Allan-Blitz, Lao-Tzu |
|
dc.contributor.author |
Konda, Kelika A. |
|
dc.contributor.author |
Vargas Rivera, Silver Keith |
|
dc.contributor.author |
Wang, Xiaoyan |
|
dc.contributor.author |
Segura, Eddy R. |
|
dc.contributor.author |
Fazio, Boris M. |
|
dc.contributor.author |
Calvo, Gino M. |
|
dc.contributor.author |
Caceres Palacios, Carlos Fernando |
|
dc.contributor.author |
Klausner, Jeffrey D. |
|
dc.date.accessioned |
2018-12-01T00:04:16Z |
|
dc.date.available |
2018-12-01T00:04:16Z |
|
dc.date.issued |
2018 |
|
dc.identifier.uri |
https://hdl.handle.net/20.500.12866/4260 |
|
dc.description.abstract |
Background: Syphilis incidence worldwide has rebounded since 2000, particularly among men who have sex with men (MSM). A predictive model for syphilis infection may inform prevention counselling and use of chemoprophylaxis. Methods: Data from a longitudinal cohort study of MSM and transgender women meeting high-risk criteria for syphilis who were followed quarterly for 2 years were analysed. Incidence was defined as a four-fold increase in rapid plasma reagin (RPR) titres or new RPR reactivity if two prior titres were non-reactive. Generalised estimating equations were used to calculate rate ratios (RR) and develop a predictive model for 70% of the dataset, which was then validated in the remaining 30%. An online risk calculator for the prediction of future syphilis was also developed. Results: Among 361 participants, 22.0% were transgender women and 34.6% were HIV-infected at baseline. Syphilis incidence was 19.9 cases per 100-person years (95% confidence interval (CI) 16.3-24.3). HIV infection (RR 2.22; 95% CI 1.54-3.21) and history of syphilis infection (RR 2.23; 95% 1.62-3.64) were significantly associated with incident infection. The final predictive model for syphilis incidence in the next 3 months included HIV infection, history of syphilis, number of male sex partners and sex role for anal sex in the past 3 months, and had an area under the curve of 69%. The online syphilis risk calculator based on those results is available at: www. syphrisk. net. Conclusions: Using data from a longitudinal cohort study among a population at high risk for syphilis infection in Peru, we developed a predictive model and online risk calculator for future syphilis infection. The predictive model for future syphilis developed in this study has a moderate predictive accuracy and may serve as the foundation for future studies. |
en_US |
dc.language.iso |
eng |
|
dc.publisher |
CSIRO Publishing |
|
dc.relation.ispartofseries |
Sexual Health |
|
dc.rights |
info:eu-repo/semantics/restrictedAccess |
|
dc.rights.uri |
https://creativecommons.org/licenses/by-nc-nd/4.0/deed.es |
|
dc.subject |
adult |
en_US |
dc.subject |
age |
en_US |
dc.subject |
alcohol consumption |
en_US |
dc.subject |
anal intercourse |
en_US |
dc.subject |
Article |
en_US |
dc.subject |
chemoprophylaxis |
en_US |
dc.subject |
cohort analysis |
en_US |
dc.subject |
high risk behavior |
en_US |
dc.subject |
high risk population |
en_US |
dc.subject |
human |
en_US |
dc.subject |
human experiment |
en_US |
dc.subject |
Human immunodeficiency virus infection |
en_US |
dc.subject |
immunoreactivity |
en_US |
dc.subject |
incidence |
en_US |
dc.subject |
longitudinal study |
en_US |
dc.subject |
male |
en_US |
dc.subject |
male to female transgender |
en_US |
dc.subject |
measurement accuracy |
en_US |
dc.subject |
men who have sex with men |
en_US |
dc.subject |
online system |
en_US |
dc.subject |
Peru |
en_US |
dc.subject |
prediction |
en_US |
dc.subject |
program development |
en_US |
dc.subject |
reaginic antibody |
en_US |
dc.subject |
retention time |
en_US |
dc.subject |
risk assessment |
en_US |
dc.subject |
sex role |
en_US |
dc.subject |
syphilis |
en_US |
dc.subject |
validation process |
en_US |
dc.title |
The development of an online risk calculator for the prediction of future syphilis among a high-risk cohort of men who have sex with men and transgender women in Lima, Peru |
en_US |
dc.type |
info:eu-repo/semantics/article |
|
dc.identifier.doi |
https://doi.org/10.1071/SH17118 |
|
dc.subject.ocde |
https://purl.org/pe-repo/ocde/ford#3.03.08 |
|
dc.subject.ocde |
https://purl.org/pe-repo/ocde/ford#3.03.05 |
|
dc.relation.issn |
1449-8987 |
|