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

[img] Text
Marzel_et_al-2017-HIV_Medicine.pdf - Published Version
Restricted to registered users only
Available under License Publisher holds Copyright.

Download (538kB) | Request a copy

OBJECTIVES 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. METHODS 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. RESULTS 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. CONCLUSIONS 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)

Division/Institute:

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

UniBE Contributor:

Furrer, Hansjakob

Subjects:

600 Technology > 610 Medicine & health

ISSN:

1464-2662

Publisher:

Blackwell Science

Language:

English

Submitter:

Annelies Luginbühl

Date Deposited:

14 Aug 2017 13:32

Last Modified:

06 Sep 2017 01:31

Publisher DOI:

10.1111/hiv.12507

PubMed ID:

28378387

Uncontrolled Keywords:

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

BORIS DOI:

10.7892/boris.99261

URI:

https://boris.unibe.ch/id/eprint/99261

Actions (login required)

Edit item Edit item
Provide Feedback