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

Marzel, A; Shilaih, M; Turk, T; Campbell, N K; Yang, W-L; Böni, J; Yerly, S; Klimkait, T; Aubert, V; Furrer, Hansjakob; Calmy, A; Battegay, M; Cavassini, M; Bernasconi, E; Schmid, P; Metzner, K J; Günthard, H F; Kouyos, R D (2017). Mining for pairs: shared clinic visit dates identify steady HIV-positive partnerships. HIV medicine, 18(9), pp. 667-676. Blackwell Science 10.1111/hiv.12507

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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.

Item Type:

Journal Article (Original Article)


04 Faculty of Medicine > Department of Haematology, Oncology, Infectious Diseases, Laboratory Medicine and Hospital Pharmacy (DOLS) > Clinic of Infectiology

UniBE Contributor:

Furrer, Hansjakob


600 Technology > 610 Medicine & health




Blackwell Science




Annelies Luginbühl

Date Deposited:

14 Aug 2017 13:32

Last Modified:

05 Dec 2022 15:05

Publisher DOI:


PubMed ID:


Uncontrolled Keywords:

HIV ; cohort studies; data mining; epidemiology; phylogeny; transmission




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