Mining for pairs: shared clinic visit dates identify steady HIV-positive partnerships.

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State: Public
Version: Final published version
Serval ID
serval:BIB_8067C283625C
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Mining for pairs: shared clinic visit dates identify steady HIV-positive partnerships.
Journal
HIV medicine
Author(s)
Marzel A., Shilaih M., Turk T., Campbell N.K., Yang W.L., Böni J., Yerly S., Klimkait T., Aubert V., Furrer H., Calmy A., Battegay M., Cavassini M., Bernasconi E., Schmid P., Metzner K.J., Günthard H.F., Kouyos R.D.
Working group(s)
Swiss HIV Cohort Study (SHCS)
Contributor(s)
Bucher H.C., Burton-Jeangros C., Dollenmaier G., Egger M., Elzi L., Fehr J., Fellay J., Fux C.A., Gorgievski M., Haerry D., Hasse B., Hirsch H.H., Hoffmann M., Hösli I., Kahlert C., Kaiser L., Keiser O., Kovari H., Ledergerber B., Martinetti G., de Tejada B.M., Müller N., Nadal D., Nicca D., Pantaleo G., Rauch A., Regenass S., Rickenbach M., Rudin C., Schöni-Affolter F., Schmid P., Schüpbach J., Speck R., Tarr P., Trkola A., Vernazza P., Weber R., Yerly S.
ISSN
1468-1293 (Electronic)
ISSN-L
1464-2662
Publication state
Published
Issued date
10/2017
Peer-reviewed
Oui
Volume
18
Number
9
Pages
667-676
Language
english
Notes
Publication types: Journal Article ; Multicenter Study
Publication Status: ppublish
Abstract
Here we examined the hypothesis that some stable HIV-infected partnerships can be found in cohort studies, as the patients frequently attend the clinic visits together.
Using mathematical approximations and shuffling to derive the probabilities of sharing a given number of visits by chance, we identified and validated couples that may represent either transmission pairs or serosorting couples in a stable relationship.
We analysed 434 432 visits for 16 139 Swiss HIV Cohort Study patients from 1990 to 2014. For 89 pairs, the number of shared visits exceeded the number expected. Of these, 33 transmission pairs were confirmed on the basis of three criteria: an extensive phylogenetic tree, a self-reported steady HIV-positive partnership, and risk group affiliation. Notably, 12 of the validated transmission pairs (36%; 12 of 33) were of a mixed ethnicity with a large median age gap [17.5 years; interquartile range (IQR) 11.8-22 years] and these patients harboured HIV-1 of predominantly non-B subtypes, suggesting imported infections.
In the context of the surge in research interest in HIV transmission pairs, this simple method widens the horizons of research on within-pair quasi-species exchange, transmitted drug resistance and viral recombination at the biological level and targeted prevention at the public health level.
Keywords
Ambulatory Care/statistics & numerical data, Cohort Studies, Data Mining/methods, Female, HIV Infections/drug therapy, HIV Infections/ethnology, HIV Infections/virology, HIV-1/classification, HIV-1/genetics, Homosexuality, Female/ethnology, Homosexuality, Male/ethnology, Humans, Male, Phylogeny, Self Report, Sexual Partners/classification, Standard of Care, HIV, cohort studies, data mining, epidemiology, phylogeny, transmission
Pubmed
Web of science
Create date
11/04/2017 18:05
Last modification date
20/08/2019 15:40
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