1
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Schwarzmüller M, Lozano C, Schanz M, Abela IA, Grosse-Holz S, Epp S, Curcio M, Greshake J, Rusert P, Huber M, Kouyos RD, Günthard HF, Trkola A. Decoupling HIV-1 antiretroviral drug inhibition from plasma antibody activity to evaluate broadly neutralizing antibody therapeutics and vaccines. Cell Rep Med 2024:101702. [PMID: 39216479 DOI: 10.1016/j.xcrm.2024.101702] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2024] [Revised: 05/02/2024] [Accepted: 08/06/2024] [Indexed: 09/04/2024]
Abstract
The development of broadly neutralizing antibody (bnAb)-based therapeutic HIV-1 vaccines and cure concepts depends on monitoring bnAb plasma activity in people with HIV (PWH) on suppressive antiretroviral therapy (ART). To enable this, analytical strategies must be defined to reliably distinguish antibody-based neutralization from drug inhibition. Here, we explore strategies that either utilize drug-resistant viruses or remove drugs from plasma. We develop ART-DEX (ART dissociation and size exclusion), an approach which quantitatively separates drugs from plasma proteins following pH-triggered release allowing accurate definition of antibody-based neutralization. We demonstrate that ART-DEX, alone or combined with ART-resistant viruses, provides a highly effective and scalable means of assessing antibody neutralization during ART. Implementation of ART-DEX in standard neutralization protocols should be considered to enhance the analytical capabilities of studies evaluating bnAb therapeutics and therapeutic vaccines, furthering the development of advanced ART and HIV-1 cure strategies.
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Affiliation(s)
| | - Cristina Lozano
- Institute of Medical Virology, University of Zurich, 8057 Zurich, Switzerland
| | - Merle Schanz
- Institute of Medical Virology, University of Zurich, 8057 Zurich, Switzerland
| | - Irene A Abela
- Institute of Medical Virology, University of Zurich, 8057 Zurich, Switzerland; Department of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, 8091 Zurich, Switzerland
| | - Silvan Grosse-Holz
- Institute of Medical Virology, University of Zurich, 8057 Zurich, Switzerland
| | - Selina Epp
- Institute of Medical Virology, University of Zurich, 8057 Zurich, Switzerland
| | - Martina Curcio
- Institute of Medical Virology, University of Zurich, 8057 Zurich, Switzerland
| | - Jule Greshake
- Institute of Medical Virology, University of Zurich, 8057 Zurich, Switzerland
| | - Peter Rusert
- Institute of Medical Virology, University of Zurich, 8057 Zurich, Switzerland
| | - Michael Huber
- Institute of Medical Virology, University of Zurich, 8057 Zurich, Switzerland
| | - Roger D Kouyos
- Institute of Medical Virology, University of Zurich, 8057 Zurich, Switzerland; Department of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, 8091 Zurich, Switzerland
| | - Huldrych F Günthard
- Institute of Medical Virology, University of Zurich, 8057 Zurich, Switzerland; Department of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, 8091 Zurich, Switzerland
| | - Alexandra Trkola
- Institute of Medical Virology, University of Zurich, 8057 Zurich, Switzerland.
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2
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Marinosci A, Sculier D, Wandeler G, Yerly S, Stoeckle M, Bernasconi E, Braun DL, Vernazza P, Cavassini M, Buzzi M, Metzner KJ, Decosterd L, Günthard HF, Schmid P, Limacher A, Branca M, Calmy A. Costs and acceptability of simplified monitoring in HIV-suppressed patients switching to dual therapy: the SIMPL'HIV open-label, factorial randomised controlled trial. Swiss Med Wkly 2024; 154:3762. [PMID: 38754068 DOI: 10.57187/s.3762] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/18/2024] Open
Abstract
BACKGROUND Clinical and laboratory monitoring of patients on antiretroviral therapy is an integral part of HIV care and determines whether treatment needs enhanced adherence or modification of the drug regimen. However, different monitoring and treatment strategies carry different costs and health consequences. MATERIALS AND METHODS The SIMPL'HIV study was a randomised trial that assessed the non-inferiority of dual maintenance therapy. The co-primary outcome was a comparison of costs over 48 weeks of dual therapy with standard antiretroviral therapy and the costs associated with a simplified HIV care approach (patient-centred monitoring [PCM]) versus standard, tri-monthly routine monitoring. Costs included outpatient medical consultations (HIV/non-HIV consultations), non-medical consultations, antiretroviral therapy, laboratory tests and hospitalisation costs. PCM participants had restricted immunological and blood safety monitoring at weeks 0 and 48, and they were offered the choice to complete their remaining study visits via a telephone call, have medications delivered to a specified address, and to have blood tests performed at a location of their choice. We analysed the costs of both strategies using invoices for medical consultations issued by the hospital where the patient was followed, as well as those obtained from health insurance companies. Secondary outcomes included differences between monitoring arms for renal function, lipids and glucose values, and weight over 48 weeks. Patient satisfaction with treatment and monitoring was also assessed using visual analogue scales. RESULTS Of 93 participants randomised to dolutegravir plus emtricitabine and 94 individuals to combination antiretroviral therapy (median nadir CD4 count, 246 cells/mm3; median age, 48 years; female, 17%),patient-centred monitoring generated no substantial reductions or increases in total costs (US$ -421 per year [95% CI -2292 to 1451]; p = 0.658). However, dual therapy was significantly less expensive (US$ -2620.4 [95% CI -2864.3 to -2331.4]) compared to standard triple-drug antiretroviral therapy costs. Approximately 50% of participants selected one monitoring option, one-third chose two, and a few opted for three. The preferred option was telephone calls, followed by drug delivery. The number of additional visits outside the study schedule did not differ by type of monitoring. Patient satisfaction related to treatment and monitoring was high at baseline, with no significant increase at week 48. CONCLUSIONS Patient-centred monitoring did not reduce costs compared to standard monitoring in individuals switching to dual therapy or those continuing combined antiretroviral therapy. In this representative sample of patients with suppressed HIV, antiretroviral therapy was the primary factor driving costs, which may be reduced by using generic drugs to mitigate the high cost of lifelong HIV treatment. TRIAL REGISTRATION ClinicalTrials.gov NCT03160105.
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Affiliation(s)
- Annalisa Marinosci
- HIV/AIDS Unit, Department of Infectious Diseases, Geneva University Hospitals, and the University of Geneva Faculty of Medicine, Geneva, Switzerland
| | - Delphine Sculier
- HIV/AIDS Unit, Department of Infectious Diseases, Geneva University Hospitals, and the University of Geneva Faculty of Medicine, Geneva, Switzerland
- Private Practice Office, Geneva, Switzerland
| | - Gilles Wandeler
- Department of Infectious Diseases, Bern University Hospital, University of Bern, Bern, Switzerland
- Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland
| | - Sabine Yerly
- Laboratory of Virology, Geneva University Hospitals, Geneva, Switzerland
| | - Marcel Stoeckle
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital of Basel, University of Basel, Basel, Switzerland
| | - Enos Bernasconi
- Service of Infectious Diseases, Lugano Regional Hospital, Lugano, Switzerland
| | - Dominique L Braun
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital of Zurich, University of Zurich, Zurich, Switzerland
- Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Pietro Vernazza
- Division of Infectious Diseases and Hospital Epidemiology, Kantonspital St.Gallen, St. Gall, Switzerland
| | - Matthias Cavassini
- Institute of Medical Virology, University of Zurich, Zurich, Switzerland
- Department of Infectious Diseases, University Hospital of Lausanne, Lausanne, Switzerland
| | - Marta Buzzi
- HIV/AIDS Unit, Department of Infectious Diseases, Geneva University Hospitals, and the University of Geneva Faculty of Medicine, Geneva, Switzerland
| | - Karin J Metzner
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital of Zurich, University of Zurich, Zurich, Switzerland
- Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Laurent Decosterd
- Pharmacology Laboratory, Clinical Pharmacology Department, University of Lausanne, Lausanne, Switzerland
| | - Huldrych F Günthard
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital of Zurich, University of Zurich, Zurich, Switzerland
- Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Patrick Schmid
- Division of Infectious Diseases and Hospital Epidemiology, Kantonspital St.Gallen, St. Gall, Switzerland
| | | | | | - Alexandra Calmy
- HIV/AIDS Unit, Department of Infectious Diseases, Geneva University Hospitals, and the University of Geneva Faculty of Medicine, Geneva, Switzerland
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3
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Künzler-Heule P, Schmidt AJ, Fierz K, Battegay M, Engberg S, Kouyos RD, Nöstlinger C, Stöckle M, Béguelin C, Delaloye J, Schmid P, Rougemont M, Braun DL, Fehr JS, Nicca D. Exploring group differences in the response to a sexual risk reduction intervention to prevent hepatitis C virus reinfection in HIV-infected MSM: a mixed-methods study. AIDS Care 2024; 36:442-451. [PMID: 37182220 DOI: 10.1080/09540121.2023.2208318] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2021] [Accepted: 04/21/2023] [Indexed: 05/16/2023]
Abstract
To prevent hepatitis C virus (HCV) reinfection, within the Swiss HCVree Trial, a preventive risk reduction intervention was implemented alongside curative treatment. Formative qualitative research identified three response patterns to the intervention. This mixed-methods study's aim was to cross-validate group differences in (a) the content of sexual risk reduction goals set during intervention and (b) the extent of their behavioural change in condomless anal intercourse with non-steady partners (nsCAI), sexualised and intravenous drug use at start and six-month post-intervention. Qualitative thematic analysis was used to summarise goal setting domains. Quantitative descriptive analysis was used to evaluate group differences based on assumptions of the group descriptions. Results largely confirmed assumptions on inter-group response differences in goal setting and behaviour: as expected group 1 Avoid risks showed the lowest HCV risk profile with changes in nsCAI. Group 2 Minimize-risks and Group 3 Accept-risks showed unchanged nsCAI. Group 3 had the highest HCV risk profile. Differences in their goal preferences (1: condom use; 2 reduction blood exposure; 3 safer dating) highlight diversity in attitudes to behavioural change. Our results improve understanding of variability in intervention responses such as changes in attitudes and behaviour. This provides evidence for intervention tailoring and outcome measurement.
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Affiliation(s)
- Patrizia Künzler-Heule
- Nursing Science, Department Public Health, Medical Faculty, University of Basel, Basel, Switzerland
- Department of Gastroenterology/Hepatology and Department of Nursing Development, Cantonal Hospital St. Gallen, St. Gallen, Switzerland
| | - Axel J Schmidt
- Division of Infectious Diseases, Cantonal Hospital St. Gallen, St. Gallen, Switzerland
- Sigma Research, London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - Katharina Fierz
- Zurich University of Applied Sciences (ZUAS), Winterthur, Switzerland
| | - Manuel Battegay
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Basel, Basel, Switzerland
- Medical Faculty, University of Basel, Basel, Switzerland
| | - Sandra Engberg
- Nursing Science, Department Public Health, Medical Faculty, University of Basel, Basel, Switzerland
- University of Pittsburgh, School of Nursing, Pittsburgh, PA, USA
| | - Roger D Kouyos
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, Zurich, Switzerland
| | | | - Marcel Stöckle
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Basel, Basel, Switzerland
- Medical Faculty, University of Basel, Basel, Switzerland
| | - Charles Béguelin
- Department of Infectious Diseases, Inselspital, Bern University Hospital, University of Bern, Switzerland
| | - Julie Delaloye
- Intensive Care Unit, Department of Intensive Care Medicine, University of Lausanne and University Hospital Center, Lausanne, Switzerland
| | - Patrick Schmid
- Division of Infectious Diseases, Cantonal Hospital St. Gallen, St. Gallen, Switzerland
| | - Mathieu Rougemont
- Primary Care Medicine Unit, University Hospital of Geneva, Geneva, Switzerland
| | - Dominique L Braun
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, Zurich, Switzerland
- Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Jan S Fehr
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, Zurich, Switzerland
- Department of Public & Global Health, Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Zurich, Switzerland
| | - Dunja Nicca
- Nursing Science, Department Public Health, Medical Faculty, University of Basel, Basel, Switzerland
- Department of Public & Global Health, Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Zurich, Switzerland
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4
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Jünger C, Imkamp F, Balakrishna S, Gysin M, Haldimann K, Brugger SD, Scheier TC, Hampel B, Hobbie SN, Günthard HF, Braun DL. Phenotypic and genotypic characterization of Neisseria gonorrhoeae isolates among individuals at high risk for sexually transmitted diseases in Zurich, Switzerland. Int J STD AIDS 2024:9564624241230266. [PMID: 38297880 DOI: 10.1177/09564624241230266] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/02/2024]
Abstract
BACKGROUND While ceftriaxone resistance remains scarce in Switzerland, global Neisseria gonorrhoeae (NG) antimicrobial resistance poses an urgent threat. This study describes clinical characteristics in MSM (men who have sex with men) diagnosed with NG infection and analyses NG resistance by phenotypic and genotypic means. METHODS Data of MSM enrolled in three clinical cohorts with a positive polymerase chain reaction test (PCR) for NG were analysed between January 2019 and December 2021 and linked with antibiotic susceptibility testing. Bacterial isolates were subjected to whole genome sequencing (WGS). RESULTS Of 142 participants, 141 (99%) were MSM and 118 (84%) living with HIV. Participants were treated with ceftriaxone (N = 79), azithromycin (N = 2), or a combination of both (N = 61). No clinical or microbiological failures were observed. From 182 positive PCR samples taken, 23 were available for detailed analysis. Based on minimal inhibitory concentrations (MICs), all isolates were susceptible to ceftriaxone, gentamicin, cefixime, cefpodoxime, ertapenem, zoliflodacin, and spectinomycin. Resistance to azithromycin, tetracyclines and ciprofloxacin was observed in 10 (43%), 23 (100%) and 11 (48%) of the cases, respectively. Analysis of WGS data revealed combinations of resistance determinants that matched with the corresponding phenotypic resistance pattern of each isolate. CONCLUSION Among the MSM diagnosed with NG mainly acquired in Switzerland, ceftriaxone MICs were low for a subset of bacterial isolates studied and no treatment failures were observed. For azithromycin, high occurrences of in vitro resistance were found. Gentamicin, cefixime, cefpodoxime, ertapenem, spectinomycin, and zoliflodacin displayed excellent in vitro activity against the 23 isolates underscoring their potential as alternative agents to ceftriaxone.
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Affiliation(s)
- Christian Jünger
- Department of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Frank Imkamp
- Institute of Medical Microbiology, University of Zurich, Zurich, Switzerland
| | - Suraj Balakrishna
- Department of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Marina Gysin
- Institute of Medical Microbiology, University of Zurich, Zurich, Switzerland
| | - Klara Haldimann
- Institute of Medical Microbiology, University of Zurich, Zurich, Switzerland
| | - Silvio D Brugger
- Department of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Thomas C Scheier
- Department of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | | | - Sven N Hobbie
- Institute of Medical Microbiology, University of Zurich, Zurich, Switzerland
| | - Huldrych F Günthard
- Department of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Dominique L Braun
- Department of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
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5
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Maliqi L, Friedrich N, Glögl M, Schmutz S, Schmidt D, Rusert P, Schanz M, Zaheri M, Pasin C, Niklaus C, Foulkes C, Reinberg T, Dreier B, Abela I, Peterhoff D, Hauser A, Kouyos RD, Günthard HF, van Gils MJ, Sanders RW, Wagner R, Plückthun A, Trkola A. Assessing immunogenicity barriers of the HIV-1 envelope trimer. NPJ Vaccines 2023; 8:148. [PMID: 37777519 PMCID: PMC10542815 DOI: 10.1038/s41541-023-00746-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2023] [Accepted: 09/19/2023] [Indexed: 10/02/2023] Open
Abstract
Understanding the balance between epitope shielding and accessibility on HIV-1 envelope (Env) trimers is essential to guide immunogen selection for broadly neutralizing antibody (bnAb) based vaccines. To investigate the antigenic space of Env immunogens, we created a strategy based on synthetic, high diversity, Designed Ankyrin Repeat Protein (DARPin) libraries. We show that DARPin Antigenicity Analysis (DANA), a purely in vitro screening tool, has the capability to extrapolate relevant information of antigenic properties of Env immunogens. DANA screens of stabilized, soluble Env trimers revealed that stronger trimer stabilization led to the selection of highly mutated DARPins with length variations and framework mutations mirroring observations made for bnAbs. By mimicking heterotypic prime-boost immunization regimens, DANA may be used to select immunogen combinations that favor the selection of trimer-reactive binders. This positions DANA as a versatile strategy for distilling fundamental antigenic features of immunogens, complementary to preclinical immunogenicity testing.
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Affiliation(s)
- Liridona Maliqi
- Institute of Medical Virology, University of Zurich (UZH), Zurich, Switzerland
| | - Nikolas Friedrich
- Institute of Medical Virology, University of Zurich (UZH), Zurich, Switzerland
| | - Matthias Glögl
- Institute of Medical Virology, University of Zurich (UZH), Zurich, Switzerland
| | - Stefan Schmutz
- Institute of Medical Virology, University of Zurich (UZH), Zurich, Switzerland
| | - Daniel Schmidt
- Institute of Medical Virology, University of Zurich (UZH), Zurich, Switzerland
| | - Peter Rusert
- Institute of Medical Virology, University of Zurich (UZH), Zurich, Switzerland
| | - Merle Schanz
- Institute of Medical Virology, University of Zurich (UZH), Zurich, Switzerland
| | - Maryam Zaheri
- Institute of Medical Virology, University of Zurich (UZH), Zurich, Switzerland
| | - Chloé Pasin
- Institute of Medical Virology, University of Zurich (UZH), Zurich, Switzerland
- Department of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich (USZ), Zurich, Switzerland
| | - Cyrille Niklaus
- Institute of Medical Virology, University of Zurich (UZH), Zurich, Switzerland
| | - Caio Foulkes
- Institute of Medical Virology, University of Zurich (UZH), Zurich, Switzerland
| | - Thomas Reinberg
- Department of Biochemistry, University of Zurich (UZH), Zurich, Switzerland
| | - Birgit Dreier
- Department of Biochemistry, University of Zurich (UZH), Zurich, Switzerland
| | - Irene Abela
- Institute of Medical Virology, University of Zurich (UZH), Zurich, Switzerland
- Department of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich (USZ), Zurich, Switzerland
| | - David Peterhoff
- Institute of Clinical Microbiology and Hygiene, University Hospital, Regensburg, Germany
- Institute of Medical Microbiology and Hygiene, Molecular Microbiology (Virology), University of Regensburg, Regensburg, Germany
| | - Alexandra Hauser
- Institute of Medical Microbiology and Hygiene, Molecular Microbiology (Virology), University of Regensburg, Regensburg, Germany
| | - Roger D Kouyos
- Institute of Medical Virology, University of Zurich (UZH), Zurich, Switzerland
- Department of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich (USZ), Zurich, Switzerland
| | - Huldrych F Günthard
- Institute of Medical Virology, University of Zurich (UZH), Zurich, Switzerland
- Department of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich (USZ), Zurich, Switzerland
| | - Marit J van Gils
- Department of Medical Microbiology and Infection Prevention, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
| | - Rogier W Sanders
- Department of Medical Microbiology and Infection Prevention, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
- Department of Microbiology and Immunology, Weill Cornell Medical College, Cornell University, New York, USA
| | - Ralf Wagner
- Institute of Clinical Microbiology and Hygiene, University Hospital, Regensburg, Germany
- Institute of Medical Microbiology and Hygiene, Molecular Microbiology (Virology), University of Regensburg, Regensburg, Germany
| | - Andreas Plückthun
- Department of Biochemistry, University of Zurich (UZH), Zurich, Switzerland
| | - Alexandra Trkola
- Institute of Medical Virology, University of Zurich (UZH), Zurich, Switzerland.
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6
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Béguelin C, Atkinson A, Boyd A, Falconer K, Kirkby N, Suter-Riniker F, Günthard HF, Rockstroh JK, Mocroft A, Rauch A, Peters L, Wandeler G. Hepatitis delta infection among persons living with HIV in Europe. Liver Int 2023; 43:819-828. [PMID: 36625770 DOI: 10.1111/liv.15519] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/08/2022] [Revised: 11/20/2022] [Accepted: 01/04/2023] [Indexed: 01/11/2023]
Abstract
BACKGROUND AND AIMS A high prevalence of hepatitis delta virus (HDV) infection, the most severe form of viral hepatitis, has been reported among persons living with HIV (PLWH) in Europe. We analysed data from a large HIV cohort collaboration to characterize HDV epidemiological trends across Europe, as well as its impact on clinical outcomes. METHODS All PLWH with a positive hepatitis B surface antigen (HBsAg) in the Swiss HIV Cohort Study and EuroSIDA between 1988 and 2019 were tested for anti-HDV antibodies and, if positive, for HDV RNA. Demographic and clinical characteristics at initiation of antiretroviral therapy were compared between HDV-positive and HDV-negative individuals using descriptive statistics. The associations between HDV infection and overall mortality, liver-related mortality as well as hepatocellular carcinoma (HCC) were assessed using cumulative incidence plots and cause-specific multivariable Cox regression. RESULTS Of 2793 HBsAg-positive participants, 1556 (56%) had stored serum available and were included. The prevalence of HDV coinfection was 15.2% (237/1556, 95% confidence interval [CI]: 13.5%-17.1%) and 66% (132/200) of HDV-positive individuals had active HDV replication. Among persons who inject drugs (PWID), the prevalence of HDV coinfection was 50.5% (182/360, 95% CI: 45.3%-55.7%), with similar estimates across Europe, compared to 4.7% (52/1109, 95% CI: 3.5%-5.9%) among other participants. During a median follow-up of 10.8 years (interquartile range 5.6-17.8), 82 (34.6%) HDV-positive and 265 (20.1%) HDV-negative individuals died. 41.5% (34/82) of deaths were liver-related in HDV-positive individuals compared to 17.7% (47/265) in HDV-negative individuals. HDV infection was associated with overall mortality (adjusted hazard ratio 1.6; 95% CI 1.2-2.1), liver-related death (2.9, 1.6-5.0) and HCC (6.3, 2.5-16.0). CONCLUSION We found a very high prevalence of hepatitis delta among PWID across Europe. Among PLWH who do not inject drugs, the prevalence was similar to that reported from populations without HIV. HDV coinfection was associated with liver-related mortality and HCC incidence.
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Affiliation(s)
- Charles Béguelin
- Department of Infectious Diseases, Bern University Hospital, Inselspital, University of Bern, Bern, Switzerland
| | - Andrew Atkinson
- Department of Infectious Diseases, Bern University Hospital, Inselspital, University of Bern, Bern, Switzerland
| | - Anders Boyd
- Stichting HIV Monitoring, Department of Infectious Diseases, Public Health Service of Amsterdam, Amsterdam, the Netherlands
| | - Karolin Falconer
- Department of Infectious Diseases, Karolinska University Hospital, Stockholm, Sweden
| | - Nikolai Kirkby
- Department of Clinical Microbiology, Rigshospitalet, Copenhagen, Denmark
| | - Franziska Suter-Riniker
- Institute for Infectious Diseases, Faculty of Medicine, University of Bern, Bern, Switzerland
| | - Huldrych F Günthard
- Department of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, Zurich, Switzerland
- Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | | | - Amanda Mocroft
- Centre for Clinical Research, Epidemiology, Modelling and Evaluation (CREME), Institute for Global Health, UCL, London, UK
- Rigshospitalet, University of Copenhagen, Centre of Excellence for Health, Immunity and Infections (CHIP), Copenhagen, Denmark
| | - Andri Rauch
- Department of Infectious Diseases, Bern University Hospital, Inselspital, University of Bern, Bern, Switzerland
| | - Lars Peters
- Rigshospitalet, University of Copenhagen, Centre of Excellence for Health, Immunity and Infections (CHIP), Copenhagen, Denmark
| | - Gilles Wandeler
- Department of Infectious Diseases, Bern University Hospital, Inselspital, University of Bern, Bern, Switzerland
- Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland
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7
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Mauri F, Cottler-Casanova S, Cavassini M, Stoeckle M, Wandeler G, Schmid P, Braun DL, Scherrer A, Bernasconi E, Calmy A, Abdulcadir J. Female Genital Mutilation/Cutting in the Swiss HIV Cohort Study: A Cross-Sectional Study. J Immigr Minor Health 2023; 25:136-141. [PMID: 35943681 PMCID: PMC9813055 DOI: 10.1007/s10903-022-01390-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/14/2022] [Indexed: 01/09/2023]
Abstract
FGM/C is a harmful practice that involves injury of the external female genitalia without medical purpose. It is mainly practiced in Africa, Asia, and the Middle East. However, with the migratory flows, women and girls with FGM/C and its consequences live all over the world. The lack of knowledge on how to care for women and girls living with FGM/C extends among all categories of health professionals involved in women's health, including infectious disease specialists. This is a national, exploratory descriptive cross-sectional study aimed to generate descriptive statistics about FGM/C among HIV-infected migrant women included in the Swiss HIV Cohort Study (SHCS). Among the 387 women interviewed about FGM/C and who provided an answer, 80 (20.7%) reported to have undergone FGM/C. Fifty-six of the 80 women (70.0%) who reported having undergone FGM/C, also reported that they had never discussed their cutting with a health professional before. Our study demonstrates how common female genital mutilation is in women living with HIV and who have migrated to Switzerland and suggest how care and prevention could be improved significantly.
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Affiliation(s)
- Fabio Mauri
- grid.150338.c0000 0001 0721 9812Department of Pediatrics, Obstetrics and Gynecology, Geneva University Hospitals, Bld de la Cluse, 1211, 0041-22- 3724049 Geneva, Switzerland
| | - Sara Cottler-Casanova
- grid.150338.c0000 0001 0721 9812Department of Pediatrics, Obstetrics and Gynecology, Geneva University Hospitals, Bld de la Cluse, 1211, 0041-22- 3724049 Geneva, Switzerland ,grid.416786.a0000 0004 0587 0574Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Basel, Switzerland ,grid.6612.30000 0004 1937 0642University of Basel, Basel, Switzerland
| | - Matthias Cavassini
- grid.8515.90000 0001 0423 4662Division of Infectious Diseases, Lausanne University Hospital, Lausanne, Switzerland
| | - Marcel Stoeckle
- grid.410567.1Division of Infectious Diseases and Hospital Epidemiology, University Hospital Basel, Basel, Switzerland
| | - Gilles Wandeler
- grid.411656.10000 0004 0479 0855Department of Infectious Diseases, Bern University Hospital and University of Bern, Bern, Switzerland
| | - Patrick Schmid
- grid.413349.80000 0001 2294 4705Division of Infectious Diseases and Hospital Epidemiology, Kantonsspital St. Gallen, St. Gallen, Switzerland
| | - Dominique L Braun
- grid.412004.30000 0004 0478 9977Division of Infectious Diseases and Hospital Epidemiology, University Hospital of Zurich, Zurich, Switzerland ,grid.7400.30000 0004 1937 0650Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Alexandra Scherrer
- grid.410567.1Division of Infectious Diseases and Hospital Epidemiology, University Hospital Basel, Basel, Switzerland
| | - Enos Bernasconi
- grid.417053.40000 0004 0514 9998Division of Infectious Diseases, Regional Hospital Lugano, Lugano, Switzerland
| | - Alexandra Calmy
- grid.150338.c0000 0001 0721 9812HIV/AIDS Unit, Division of Infectious Diseases, Geneva University Hospitals, Geneva, Switzerland
| | - Jasmine Abdulcadir
- grid.150338.c0000 0001 0721 9812Department of Pediatrics, Obstetrics and Gynecology, Geneva University Hospitals, Bld de la Cluse, 1211, 0041-22- 3724049 Geneva, Switzerland
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8
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Chammartin F, Darling K, Abela IA, Battegay M, Furrer H, Calmy A, Bernasconi E, Schmid P, Hoffmann M, Bucher HC. CD4:CD8 Ratio and CD8 Cell Count and Their Prognostic Relevance for Coronary Heart Disease Events and Stroke in Antiretroviral Treated Individuals: The Swiss HIV Cohort Study. J Acquir Immune Defic Syndr 2022; 91:508-515. [PMID: 36150371 PMCID: PMC7613804 DOI: 10.1097/qai.0000000000003094] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2022] [Accepted: 07/05/2022] [Indexed: 02/04/2023]
Abstract
INTRODUCTION HIV infection leads to a persistent expansion of terminally CD8 T cells and CD8 T suppressor cells, a marker of chronic immune activation leading to a low CD4:CD8 ratio that may persist in the presence of potent antiretroviral therapy and regained CD4 helper cells. It remains unclear whether a low CD4:CD8 ratio is associated with cardiovascular diseases. METHODS We conducted an observational cohort study to investigate the association of immune depression and activation as characterized by the proxy of the CD4:CD8 ratio on the hazard of coronary heart disease (CHD) and stroke among treated individuals living with HIV, while accounting for viral load and known risk factors for cardiovascular diseases and exposure to abacavir or protease inhibitors. We used Cox proportional hazard models with time-dependent cumulative and lagged exposures to account for time-evolving risk factors and avoid reverse causality. RESULTS CD4, CD8, and CD4:CD8 immunological markers were not associated with an increased hazard for CHD. CD8 cell count lagged at 12 months above 1000 cells per μL increased the hazard of stroke, after adjusting for sociodemographics, cardiovascular risk factors, and exposure to specific types of antiretroviral drugs. CONCLUSIONS This analysis of treated HIV-positive individuals within a large cohort with long-term follow-up does not provide evidence for a prognostic role of immune dysregulation regarding CHD. However, increased CD8 cell count may be a moderate risk factor for stroke. Early detection and treatment of HIV-positive individuals are crucial for an optimal immune restoration and a limited CD8 cells expansion.
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Affiliation(s)
- Frédérique Chammartin
- Basel Institute for Clinical Epidemiology and Biostatistics (CEB), University Hospital Basel, Basel, Switzerland
| | - Katharine Darling
- Division of Infectious Diseases, University Hospital Lausanne (CHUV), Lausanne, Switzerland
| | - Irene A. Abela
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zürich, Zürich, Switzerland
- Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Manuel Battegay
- Division of Infectious Diseases and Hospital Hygiene, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Hansjakob Furrer
- Department of Infectious Diseases, Inselspital, Bern University Hospital, University of Bern, Berne, Switzerland
| | - Alexandra Calmy
- Division of Infectious Diseases University Hospital Geneva, Geneva, Switzerland
| | - Enos Bernasconi
- Division of Infectious Diseases Ospedale Regionale Lugano, Lugano, Switzerland
| | - Patrick Schmid
- Division of Infectious Diseases, Cantonal Hospital St. Gallen, St. Gallen, Switzerland; and
| | - Matthias Hoffmann
- Division of Infectious Diseases, Cantonal Hospital St. Gallen, St. Gallen, Switzerland; and
- Department of General Internal Medicine, Infectious Diseases and Hospital Epidemiology, Cantonal Hospital Olten, Switzerland
| | - Heiner C. Bucher
- Basel Institute for Clinical Epidemiology and Biostatistics (CEB), University Hospital Basel, Basel, Switzerland
- Division of Infectious Diseases and Hospital Hygiene, University Hospital Basel, University of Basel, Basel, Switzerland
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9
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Unsupervised machine learning predicts future sexual behaviour and sexually transmitted infections among HIV-positive men who have sex with men. PLoS Comput Biol 2022; 18:e1010559. [DOI: 10.1371/journal.pcbi.1010559] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2021] [Revised: 11/08/2022] [Accepted: 09/12/2022] [Indexed: 11/09/2022] Open
Abstract
Machine learning is increasingly introduced into medical fields, yet there is limited evidence for its benefit over more commonly used statistical methods in epidemiological studies. We introduce an unsupervised machine learning framework for longitudinal features and evaluate it using sexual behaviour data from the last 20 years from over 3’700 participants in the Swiss HIV Cohort Study (SHCS). We use hierarchical clustering to find subgroups of men who have sex with men in the SHCS with similar sexual behaviour up to May 2017, and apply regression to test whether these clusters enhance predictions of sexual behaviour or sexually transmitted diseases (STIs) after May 2017 beyond what can be predicted with conventional parameters. We find that behavioural clusters enhance model performance according to likelihood ratio test, Akaike information criterion and area under the receiver operator characteristic curve for all outcomes studied, and according to Bayesian information criterion for five out of ten outcomes, with particularly good performance for predicting future sexual behaviour and recurrent STIs. We thus assess a methodology that can be used as an alternative means for creating exposure categories from longitudinal data in epidemiological models, and can contribute to the understanding of time-varying risk factors.
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10
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Chaudron SE, Leemann C, Kusejko K, Nguyen H, Tschumi N, Marzel A, Huber M, Böni J, Perreau M, Klimkait T, Yerly S, Ramette A, Hirsch HH, Rauch A, Calmy A, Vernazza P, Bernasconi E, Cavassini M, Metzner KJ, Kouyos RD, Günthard HF. A Systematic Molecular Epidemiology Screen Reveals Numerous Human Immunodeficiency Virus (HIV) Type 1 Superinfections in the Swiss HIV Cohort Study. J Infect Dis 2022; 226:1256-1266. [PMID: 35485458 DOI: 10.1093/infdis/jiac166] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2021] [Accepted: 04/27/2022] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND Studying human immunodeficiency virus type 1 (HIV-1) superinfection is important to understand virus transmission, disease progression, and vaccine design. But detection remains challenging, with low sampling frequencies and insufficient longitudinal samples. METHODS Using the Swiss HIV Cohort Study (SHCS), we developed a molecular epidemiology screening for superinfections. A phylogeny built from 22 243 HIV-1 partial polymerase sequences was used to identify potential superinfections among 4575 SHCS participants with longitudinal sequences. A subset of potential superinfections was tested by near-full-length viral genome sequencing (NFVGS) of biobanked plasma samples. RESULTS Based on phylogenetic and distance criteria, 325 potential HIV-1 superinfections were identified and categorized by their likelihood of being detected as superinfections due to sample misidentification. NFVGS was performed for 128 potential superinfections; of these, 52 were confirmed by NFVGS, 15 were not confirmed, and for 61 sampling did not allow confirming or rejecting superinfection because the sequenced samples did not include the relevant time points causing the superinfection signal in the original screen. Thus, NFVGS could support 52 of 67 adequately sampled potential superinfections. CONCLUSIONS This cohort-based molecular approach identified, to our knowledge, the largest population of confirmed superinfections, showing that, while rare with a prevalence of 1%-7%, superinfections are not negligible events.
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Affiliation(s)
- Sandra E Chaudron
- Department of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, Zurich, Switzerland.,Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Christine Leemann
- Department of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, Zurich, Switzerland.,Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Katharina Kusejko
- Department of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, Zurich, Switzerland.,Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Huyen Nguyen
- Department of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, Zurich, Switzerland.,Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Nadine Tschumi
- Department of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, Zurich, Switzerland.,Swiss Tropical and Public Health Institute, Basel, Switzerland
| | - Alex Marzel
- Department of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, Zurich, Switzerland.,Schulthess Klinik, Zurich, Switzerland
| | - Michael Huber
- Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Jürg Böni
- Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Matthieu Perreau
- Service of Immunology and Allergy, Lausanne University Hospital, University of Lausanne, Lausanne, Switzerland
| | - Thomas Klimkait
- Department of Biomedicine, University of Basel, Basel, Switzerland
| | - Sabine Yerly
- Laboratory of Virology, Geneva University Hospitals, Geneva, Switzerland
| | - Alban Ramette
- Institute for Infectious Diseases, University of Bern, Bern, Switzerland
| | - Hans H Hirsch
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Basel, Basel, Switzerland.,Clinical Virology, Laboratory Medicine, University Hospital Basel, Basel, Switzerland
| | - Andri Rauch
- Department of Infectious Diseases, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Alexandra Calmy
- Laboratory of Virology, Geneva University Hospitals, Geneva, Switzerland.,Division of Infectious Diseases and Faculty of Medicine, University of Geneva, Geneva, Switzerland
| | - Pietro Vernazza
- Clinic for Infectiology and Hospital Hygiene, Cantonal Hospital St Gallen, St Gallen, Switzerland
| | - Enos Bernasconi
- Division of Infectious Diseases, Regional Hospital Lugano, Lugano, Switzerland
| | - Matthias Cavassini
- Service for Infectious Diseases, Lausanne University Hospital, Lausanne, Switzerland
| | - Karin J Metzner
- Department of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, Zurich, Switzerland.,Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Roger D Kouyos
- Department of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, Zurich, Switzerland.,Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Huldrych F Günthard
- Department of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, Zurich, Switzerland.,Institute of Medical Virology, University of Zurich, Zurich, Switzerland
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11
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Nadeau S, Thorball CW, Kouyos R, Günthard HF, Böni J, Yerly S, Perreau M, Klimkait T, Rauch A, Hirsch HH, Cavassini M, Vernazza P, Bernasconi E, Fellay J, Mitov V, Stadler T. A phylogeny-aware GWAS framework to correct for heritable pathogen effects on infectious disease traits. Mol Biol Evol 2022; 39:6654835. [PMID: 35921544 PMCID: PMC9366186 DOI: 10.1093/molbev/msac163] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Infectious diseases are particularly challenging for genome-wide association studies (GWAS) because genetic effects from two organisms (pathogen and host) can influence a trait. Traditional GWAS assume individual samples are independent observations. However, pathogen effects on a trait can be heritable from donor to recipient in transmission chains. Thus, residuals in GWAS association tests for host genetic effects may not be independent due to shared pathogen ancestry. We propose a new method to estimate and remove heritable pathogen effects on a trait based on the pathogen phylogeny prior to host GWAS, thus restoring independence of samples. In simulations, we show this additional step can increase GWAS power to detect truly associated host variants when pathogen effects are highly heritable, with strong phylogenetic correlations. We applied our framework to data from two different host-pathogen systems, HIV in humans and X. arboricola in A. thaliana. In both systems, the heritability and thus phylogenetic correlations turn out to be low enough such that qualitative results of GWAS do not change when accounting for the pathogen shared ancestry through a correction step. This means that previous GWAS results applied to these two systems should not be biased due to shared pathogen ancestry. In summary, our framework provides additional information on the evolutionary dynamics of traits in pathogen populations and may improve GWAS if pathogen effects are highly phylogenetically correlated amongst individuals in a cohort.
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Affiliation(s)
- Sarah Nadeau
- Department of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland.,Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Christian W Thorball
- Precision Medicine Unit, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Roger Kouyos
- Institute of Medical Virology, University of Zurich, Zurich, Switzerland.,Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Huldrych F Günthard
- Institute of Medical Virology, University of Zurich, Zurich, Switzerland.,Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Jürg Böni
- Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Sabine Yerly
- Division of Infectious Diseases, Laboratory of Virology, Geneva University Hospital, Geneva, Switzerland
| | - Matthieu Perreau
- Division of Immunology and Allergy, University Hospital Lausanne, Lausanne, Switzerland
| | - Thomas Klimkait
- Department of Biomedicine, University of Basel, Basel, Switzerland
| | - Andri Rauch
- Department of Infectious Diseases, Bern University Hospital and University of Bern, Bern, Switzerland
| | - Hans H Hirsch
- Department of Biomedicine, University of Basel, Basel, Switzerland.,Division of Clinical Virology, University Hospital Basel, Basel, Switzerland.,Division of Infectious Diseases and Hospital Epidemiology, University Hospital Basel, Basel, Switzerland
| | - Matthias Cavassini
- Division of Infectious Diseases, University Hospital Lausanne, Lausanne, Switzerland
| | - Pietro Vernazza
- Division of Infectious Diseases, Cantonal Hospital St. Gallen, St. Gallen, Switzerland
| | - Enos Bernasconi
- Division of Infectious Diseases, Regional Hospital Lugano, Lugano, Switzerland
| | - Jacques Fellay
- Swiss Institute of Bioinformatics, Lausanne, Switzerland.,Precision Medicine Unit, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.,Global Health Institute, School of Life Sciences, École Polytechnique FÉdÉrale de Lausanne, Lausanne, Switzerland
| | - Venelin Mitov
- Department of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland.,Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Tanja Stadler
- Department of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland.,Swiss Institute of Bioinformatics, Lausanne, Switzerland
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12
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Kusejko K, Tschumi N, Chaudron SE, Nguyen H, Battegay M, Bernasconi E, Böni J, Huber M, Calmy A, Cavassini M, Egle A, Grabmeier-Pfistershammer K, Haas B, Hirsch H, Klimkait T, Öllinger A, Perreau M, Ramette A, Flury BB, Sarcletti M, Scherrer A, Schmid P, Yerly S, Zangerle R, Günthard HF, Kouyos RD. Similar But Different: Integrated Phylogenetic Analysis of Austrian and Swiss HIV-1 Sequences Reveal Differences in Transmission Patterns of the Local HIV-1 Epidemics. J Acquir Immune Defic Syndr 2022; 90:e4-e12. [PMID: 35298446 PMCID: PMC9394492 DOI: 10.1097/qai.0000000000002949] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2021] [Accepted: 02/23/2022] [Indexed: 11/25/2022]
Abstract
OBJECTIVES Phylogenetic analyses of 2 or more countries allow to detect differences in transmission dynamics of local HIV-1 epidemics beyond differences in demographic characteristics. METHODS A maximum-likelihood phylogenetic tree was built using pol -sequences of the Swiss HIV Cohort Study (SHCS) and the Austrian HIV Cohort Study (AHIVCOS), with international background sequences. Three types of phylogenetic cherries (clusters of size 2) were analyzed further: (1) domestic cherries; (2) international cherries; and (3) SHCS/AHIVCOS-cherries. Transmission group and ethnicities observed within the cherries were compared with the respective distribution expected from a random distribution of patients on the phylogeny. RESULTS The demographic characteristics of the AHIVCOS (included patients: 3'141) and the SHCS (included patients: 12'902) are very similar. In the AHIVCOS, 36.5% of the patients were in domestic cherries, 8.3% in international cherries, and 7.0% in SHCS/AHIVCOS cherries. Similarly, in the SHCS, 43.0% of the patients were in domestic cherries, 8.2% in international cherries, and 1.7% in SHCS/AHIVCOS cherries. Although international cherries in the SHCS were dominated by heterosexuals with men who have sex with men being underrepresented, the opposite was the case for the AHIVCOS. In both cohorts, cherries with one patient belonging to the transmission group intravenous drug user and the other one non-intravenous drug user were underrepresented. CONCLUSIONS In both cohorts, international HIV transmission plays a major role in the local epidemics, mostly driven by men who have sex with men in the AHIVOS, and by heterosexuals in the SHCS, highlighting the importance of international collaborations to understand global HIV transmission links on the way to eliminate HIV.
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Affiliation(s)
- Katharina Kusejko
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, Zurich, Switzerland
- Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Nadine Tschumi
- Department of Medicine, Swiss Tropical and Public Health Institute, Basel, Switzerland
- Department of Clinical Research, University of Basel, Basel, Switzerland
| | - Sandra E. Chaudron
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, Zurich, Switzerland
- Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Huyen Nguyen
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, Zurich, Switzerland
- Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Manuel Battegay
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Enos Bernasconi
- Division of Infectious Diseases, Regional Hospital Lugano, University of Geneva and University of Southern Switzerland, Lugano, Switzerland
| | - Jürg Böni
- Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Michael Huber
- Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Alexandra Calmy
- Laboratory of Virology and Division of Infectious Diseases, Geneva University Hospital, University of Geneva, Geneva, Switzerland
| | - Matthias Cavassini
- Division of Infectious Diseases, Lausanne University Hospital, Lausanne, Switzerland
| | - Alexander Egle
- Department of Internal Medicine III with Haematology, Medical Oncology, Haemostaseology, Infectiology and Rheumatology, Oncologic Center, Paracelsus Medical University, Salzburg, Austria
| | | | - Bernhard Haas
- Institute of Hospital Hygiene and Microbiology, Styrian Hospital Corporation, The Styrian Healthcare Company, Graz, Austria
| | - Hans Hirsch
- Molecular Virology, Department of Biomedicine–Petersplatz, University of Basel, Basel, Switzerland
| | - Thomas Klimkait
- Molecular Virology, Department of Biomedicine–Petersplatz, University of Basel, Basel, Switzerland
| | - Angela Öllinger
- Department of Dermatology, Kepler University Hospital, Linz, Austria
| | - Matthieu Perreau
- Faculty of Biology and Medicine, University of Lausanne, Lausanne, Switzerland
| | - Alban Ramette
- Department of Infectious Diseases, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Baharak Babouee Flury
- Department of Infectious Diseases, Bern University Hospital, University of Bern, Bern, Switzerland
- Division of Infectious Diseases, Cantonal Hospital St Gallen, St. Gallen, Switzerland; and
| | - Mario Sarcletti
- Department of Dermatology, Venereology and Allergology, Medical University of Innsbruck, Innsbruck, Austria
| | - Alexandra Scherrer
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, Zurich, Switzerland
| | - Patrick Schmid
- Division of Infectious Diseases, Cantonal Hospital St Gallen, St. Gallen, Switzerland; and
| | - Sabine Yerly
- Laboratory of Virology and Division of Infectious Diseases, Geneva University Hospital, University of Geneva, Geneva, Switzerland
| | - Robert Zangerle
- Department of Dermatology, Venereology and Allergology, Medical University of Innsbruck, Innsbruck, Austria
| | - Huldrych F. Günthard
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, Zurich, Switzerland
- Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Roger D. Kouyos
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, Zurich, Switzerland
- Institute of Medical Virology, University of Zurich, Zurich, Switzerland
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13
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Kusejko K, Chammartin F, Smith D, Odermatt M, Schuhmacher J, Koller M, Günthard HF, Briel M, Bucher HC, Speich B. Developing and testing a Corona VaccinE tRiAL pLatform (COVERALL) to study Covid-19 vaccine response in immunocompromised patients. BMC Infect Dis 2022; 22:654. [PMID: 35902817 PMCID: PMC9330973 DOI: 10.1186/s12879-022-07621-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2021] [Accepted: 07/05/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND The rapid course of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic calls for fast implementation of clinical trials to assess the effects of new treatment and prophylactic interventions. Building trial platforms embedded in existing data infrastructures is an ideal way to address such questions within well-defined subpopulations. METHODS We developed a trial platform building on the infrastructure of two established national cohort studies: the Swiss human immunodeficiency virus (HIV) Cohort Study (SHCS) and Swiss Transplant Cohort Study (STCS). In a pilot trial, termed Corona VaccinE tRiAL pLatform (COVERALL), we assessed the vaccine efficacy of the first two licensed SARS-CoV-2 vaccines in Switzerland and the functionality of the trial platform. RESULTS Using Research Electronic Data Capture (REDCap), we developed a trial platform integrating the infrastructure of the SHCS and STCS. An algorithm identifying eligible patients, as well as baseline data transfer ensured a fast inclusion procedure for eligible patients. We implemented convenient re-directions between the different data entry systems to ensure intuitive data entry for the participating study personnel. The trial platform, including a randomization algorithm ensuring balance among different subgroups, was continuously adapted to changing guidelines concerning vaccination policies. We were able to randomize and vaccinate the first trial participant the same day we received ethics approval. Time to enroll and randomize our target sample size of 380 patients was 22 days. CONCLUSION Taking the best of each system, we were able to flag eligible patients, transfer patient information automatically, randomize and enroll the patients in an easy workflow, decreasing the administrative burden usually associated with a trial of this size.
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Affiliation(s)
- Katharina Kusejko
- Institute of Medical Virology, University of Zurich, Zurich, Switzerland. .,Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, Zurich, Switzerland.
| | - Frédérique Chammartin
- Basel Institute for Clinical Epidemiology and Biostatistics, Department of Clinical Research, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Daniel Smith
- Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Marc Odermatt
- Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Julian Schuhmacher
- Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Michael Koller
- Basel Institute for Clinical Epidemiology and Biostatistics, Department of Clinical Research, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Huldrych F Günthard
- Institute of Medical Virology, University of Zurich, Zurich, Switzerland.,Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, Zurich, Switzerland
| | - Matthias Briel
- Basel Institute for Clinical Epidemiology and Biostatistics, Department of Clinical Research, University Hospital Basel, University of Basel, Basel, Switzerland.,Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Canada
| | - Heiner C Bucher
- Basel Institute for Clinical Epidemiology and Biostatistics, Department of Clinical Research, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Benjamin Speich
- Basel Institute for Clinical Epidemiology and Biostatistics, Department of Clinical Research, University Hospital Basel, University of Basel, Basel, Switzerland.,Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK
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14
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Voznica J, Zhukova A, Boskova V, Saulnier E, Lemoine F, Moslonka-Lefebvre M, Gascuel O. Deep learning from phylogenies to uncover the epidemiological dynamics of outbreaks. Nat Commun 2022; 13:3896. [PMID: 35794110 PMCID: PMC9258765 DOI: 10.1038/s41467-022-31511-0] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2021] [Accepted: 06/21/2022] [Indexed: 12/03/2022] Open
Abstract
Widely applicable, accurate and fast inference methods in phylodynamics are needed to fully profit from the richness of genetic data in uncovering the dynamics of epidemics. Standard methods, including maximum-likelihood and Bayesian approaches, generally rely on complex mathematical formulae and approximations, and do not scale with dataset size. We develop a likelihood-free, simulation-based approach, which combines deep learning with (1) a large set of summary statistics measured on phylogenies or (2) a complete and compact representation of trees, which avoids potential limitations of summary statistics and applies to any phylodynamics model. Our method enables both model selection and estimation of epidemiological parameters from very large phylogenies. We demonstrate its speed and accuracy on simulated data, where it performs better than the state-of-the-art methods. To illustrate its applicability, we assess the dynamics induced by superspreading individuals in an HIV dataset of men-having-sex-with-men in Zurich. Our tool PhyloDeep is available on github.com/evolbioinfo/phylodeep .
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Affiliation(s)
- J Voznica
- Institut Pasteur, Université Paris Cité, Unité Bioinformatique Evolutive, Paris, France.
- Université de Paris, Paris, France.
- Institut de Biologie de l'École Normale Supérieure, Ecole Normale Supérieure, CNRS, INSERM, Université Paris Sciences et Lettres, Paris, France.
| | - A Zhukova
- Institut Pasteur, Université Paris Cité, Unité Bioinformatique Evolutive, Paris, France.
- Institut Pasteur, Université Paris Cité, Bioinformatics and Biostatistics Hub, Paris, France.
- Institut Pasteur, Université Paris Cité, Epidemiology and Modelling of Antibiotic Evasion, Paris, France.
- Université Paris-Saclay, UVSQ, Inserm, CESP, Villejuif, France.
| | - V Boskova
- Center for Integrative Bioinformatics Vienna, Max Perutz Labs, University of Vienna and Medical University of Vienna, Vienna, Austria
| | - E Saulnier
- Institut Pasteur, Université Paris Cité, Unité Bioinformatique Evolutive, Paris, France
| | - F Lemoine
- Institut Pasteur, Université Paris Cité, Unité Bioinformatique Evolutive, Paris, France
- Institut Pasteur, Université Paris Cité, Bioinformatics and Biostatistics Hub, Paris, France
| | - M Moslonka-Lefebvre
- Institut Pasteur, Université Paris Cité, Unité Bioinformatique Evolutive, Paris, France
| | - O Gascuel
- Institut Pasteur, Université Paris Cité, Unité Bioinformatique Evolutive, Paris, France.
- Institut de Systématique, Evolution, Biodiversité (UMR 7205 - CNRS, Muséum National d'Histoire Naturelle, SU, EPHE, UA), Paris, France.
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15
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Kusejko K, Salazar-Vizcaya L, Shah C, Stöckle M, Béguelin C, Schmid P, Ongaro M, Darling K, Bernasconi E, Rauch A, Kouyos RD, Günthard HF, Böni J, Fehr JS, Braun DL. Sustained effect on hepatitis C elimination among men who have sex with men in the Swiss HIV Cohort Study: A systematic re-screening for hepatitis C RNA two years following a nation-wide elimination program. Clin Infect Dis 2022; 75:1723-1731. [PMID: 35404384 DOI: 10.1093/cid/ciac273] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2021] [Indexed: 12/14/2022] Open
Abstract
INTRODUCTION The Swiss HCVree Trial (NCT02785666) was conducted in 2015-2017 with the goal of implementing a population-based systematic hepatitis C (HCV) micro-elimination program among men who have sex with men (MSM) living with HIV enrolled in the Swiss HIV Cohort Study (SHCS). The trial led to a 91% and 77% decline of HCV prevalence and incidence, respectively. The long-term effect of this HCV micro-elimination program is yet to be explored. METHODS All MSM enrolled in the SHCS were screened for HCV RNA using stored plasma samples obtained in 2019, termed "Swiss HCVree Post" screen. The incidence of HCV infection over time was assessed using additional information on HCV testing routinely collected in the SHCS. Characteristics of participants with replicating HCV infection were analyzed. RESULTS The point-prevalence of "Swiss HCVree Post" (N = 4641) was 0.6%, reflecting a decline of 48% compared to the end of the Swiss HCVree Trial where the prevalence was 1.2%. Further, the incidence of HCV among MSM in the SHCS declined from 0.31/100 person-years (py) (95%-confidence interval (CI) = [0.17,0.55]) in 2017 to 0.19/100 py (95%-CI = [0.09,0.39]) in 2019. CONCLUSION A systematic HCV RNA-based screening among MSM living with HIV conducted two years after the Swiss HCVree Trial revealed a sustained effect and further decline of the prevalence and incidence of replicating HCV infection. This indicates that the Swiss HCVree Trial was successful in curbing the HCV epidemic among MSM living with HIV in Switzerland.
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Affiliation(s)
- Katharina Kusejko
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.,Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Luisa Salazar-Vizcaya
- Department of Infectious Diseases, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Cyril Shah
- Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Marcel Stöckle
- Division of Infectious Diseases & Hospital Epidemiology, University Hospital Basel, University Basel, Switzerland
| | - Charles Béguelin
- Department of Infectious Diseases, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Patrick Schmid
- Division of Infectious Diseases, Cantonal Hospital St. Gallen, St. Gallen, Switzerland
| | - Marie Ongaro
- Division of Gastroenterology and Hepatology, University Hospitals and University of Geneva, Geneva, Switzerland
| | - Katherine Darling
- Service of Infectious Diseases, Lausanne University Hospital, Lausanne, Switzerland
| | - Enos Bernasconi
- Division of Infectious Diseases, Regional Hospital Lugano, Lugano, University of Geneva, Geneva, and University of Southern Switzerland, Lugano, Switzerland
| | - Andri Rauch
- Department of Infectious Diseases, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Roger D Kouyos
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.,Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Huldrych F Günthard
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.,Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Jürg Böni
- Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Jan S Fehr
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.,Department Public Health, Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Zurich, Switzerland
| | - Dominique L Braun
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.,Institute of Medical Virology, University of Zurich, Zurich, Switzerland
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16
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Javanbakht M, Lin J, Ragsdale A, Kim S, Siminski S, Gorbach P. Comparing single and multiple imputation strategies for harmonizing substance use data across HIV-related cohort studies. BMC Med Res Methodol 2022; 22:90. [PMID: 35369872 PMCID: PMC8978400 DOI: 10.1186/s12874-022-01554-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2021] [Accepted: 02/24/2022] [Indexed: 11/10/2022] Open
Abstract
Abstract
Background
Although standardized measures to assess substance use are available, most studies use variations of these measures making it challenging to harmonize data across studies. The aim of this study was to evaluate the performance of different strategies to impute missing substance use data that may result as part of data harmonization procedures.
Methods
We used self-reported substance use data collected between August 2014 and June 2019 from 528 participants with 2,389 study visits in a cohort study of substance use and HIV. We selected a low (heroin), medium (methamphetamine), and high (cannabis) prevalence drug and set 10–50% of each substance to missing. The data amputation mimicked missingness that results from harmonization of disparate measures. We conducted Monte Carlo simulations to evaluate the comparative performance of single and multiple imputation (MI) methods using the relative mean bias, root mean square error (RMSE), and coverage probability of the 95% confidence interval for each imputed estimate.
Results
Without imputation (i.e., listwise deletion), estimates of substance use were biased, especially for low prevalence outcomes such as heroin. For instance, even when 10% of data were missing, the complete case analysis underestimated the prevalence of heroin by 33%. MI, even with as few as five imputations produced the least biased estimates, however, for a high prevalence outcome such as cannabis with low to moderate missingness, performance of single imputation strategies improved. For instance, in the case of cannabis, with 10% missingness, single imputation with regression performed just as well as multiple imputation resulting in minimal bias (relative mean bias of 0.06% and 0.07% respectively) and comparable performance (RMSE = 0.0102 for both and coverage of 95.8% and 96.2% respectively).
Conclusion
Our results from imputation of missing substance use data resulting from data harmonization indicate that MI provided the best performance across a range of conditions. Additionally, single imputation for substance use data performed comparably under scenarios where the prevalence of the outcome was high and missingness was low. These findings provide a practical application for the evaluation of several imputation strategies and helps to address missing data problem when combining data from individual studies.
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17
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Olawepo JO, Ezeanolue EE, Ekenna A, Ogunsola OO, Itanyi IU, Jedy-Agba E, Egbo E, Onwuchekwa C, Ezeonu A, Ajibola A, Olakunde BO, Majekodunmi O, Ogidi AG, Chukwuorji J, Lasebikan N, Dakum P, Okonkwo P, Oyeledun B, Oko J, Khamofu H, Ikpeazu A, Nwokwu UE, Aliyu G, Shittu O, Rositch AF, Powell BJ, Conserve DF, Aarons GA, Olutola A. Building a national framework for multicentre research and clinical trials: experience from the Nigeria Implementation Science Alliance. BMJ Glob Health 2022; 7:bmjgh-2021-008241. [PMID: 35450861 PMCID: PMC9024272 DOI: 10.1136/bmjgh-2021-008241] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2021] [Accepted: 02/25/2022] [Indexed: 01/21/2023] Open
Abstract
There is limited capacity and infrastructure in sub-Saharan Africa to conduct clinical trials for the identification of efficient and effective new prevention, diagnostic and treatment modalities to address the disproportionate burden of disease. This paper reports on the process to establish locally driven infrastructure for multicentre research and trials in Nigeria known as the Nigeria Implementation Science Alliance Model Innovation and Research Centres (NISA-MIRCs). We used a participatory approach to establish a research network of 21 high-volume health facilities selected from all 6 geopolitical zones in Nigeria capable of conducting clinical trials, implementation research using effectiveness-implementation hybrid designs and health system research. The NISA-MIRCs have a cumulative potential to recruit 60 000 women living with HIV and an age-matched cohort of HIV-uninfected women. We conducted a needs assessment, convened several stakeholder outreaches and engagement sessions, and established a governance structure. Additionally, we selected and trained a core research team, developed criteria for site selection, assessed site readiness for research and obtained ethical approval from a single national institutional review board. We used the Exploration, Preparation, Implementation, Sustainment framework to guide our reporting of the process in the development of this network. The NISA-MIRCs will provide a nationally representative infrastructure to initiate new studies, support collaborative research, inform policy decisions and thereby fill a significant research infrastructure gap in Africa’s most populous country.
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Affiliation(s)
- John Olajide Olawepo
- Department of Health Sciences, Northeastern University, Boston, Massachusetts, USA.,Center for Translation and Implementation Research (CTAIR), University of Nigeria, Nsukka, Enugu, Nigeria
| | - Echezona Edozie Ezeanolue
- Center for Translation and Implementation Research (CTAIR), University of Nigeria, Nsukka, Enugu, Nigeria .,Healthy Sunrise Foundation, Las Vegas, Nevada, USA
| | - Adanma Ekenna
- Center for Translation and Implementation Research (CTAIR), University of Nigeria, Nsukka, Enugu, Nigeria.,Department of Community Medicine, University of Nigeria, Nsukka, Enugu, Nigeria
| | | | - Ijeoma Uchenna Itanyi
- Center for Translation and Implementation Research (CTAIR), University of Nigeria, Nsukka, Enugu, Nigeria.,Department of Community Medicine, University of Nigeria, Nsukka, Enugu, Nigeria
| | | | - Emmanuel Egbo
- Center for Translation and Implementation Research (CTAIR), University of Nigeria, Nsukka, Enugu, Nigeria
| | | | - Alexandra Ezeonu
- Center for Translation and Implementation Research (CTAIR), University of Nigeria, Nsukka, Enugu, Nigeria
| | - Abiola Ajibola
- Center for Integrated Health Programs (CIHP), Abuja, FCT, Nigeria
| | - Babayemi O Olakunde
- Center for Translation and Implementation Research (CTAIR), University of Nigeria, Nsukka, Enugu, Nigeria.,Department of Community Prevention and Care Services, National Agency for Control of AIDS (NACA), Abuja, FCT, Nigeria
| | | | - Amaka G Ogidi
- Center for Translation and Implementation Research (CTAIR), University of Nigeria, Nsukka, Enugu, Nigeria
| | - JohnBosco Chukwuorji
- Center for Translation and Implementation Research (CTAIR), University of Nigeria, Nsukka, Enugu, Nigeria.,Department of Psychology, University of Nigeria, Nsukka, Enugu, Nigeria
| | - Nwamaka Lasebikan
- Center for Translation and Implementation Research (CTAIR), University of Nigeria, Nsukka, Enugu, Nigeria.,Oncology Center, University of Nigeria Teaching Hospital, Ituku Ozalla, Enugu, Nigeria
| | - Patrick Dakum
- Institute of Human Virology Nigeria, Abuja, FCT, Nigeria
| | | | - Bolanle Oyeledun
- Center for Integrated Health Programs (CIHP), Abuja, FCT, Nigeria
| | - John Oko
- Caritas Nigeria, Abuja, FCT, Nigeria
| | | | - Akudo Ikpeazu
- National AIDS, Viral Hepatitis and Sexually Transmitted Infections Control Programme, Federal Ministry of Health, Abuja, FCT, Nigeria
| | | | - Gambo Aliyu
- National Agency for the Control of AIDS (NACA), Abuja, FCT, Nigeria
| | - Oladapo Shittu
- Federal University of Health Sciences Otukpo, Otukpo, Benue State, Nigeria
| | - Anne F Rositch
- Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Byron J Powell
- Center for Mental Health Services Research, Brown School at Washington University in St Louis, St Louis, Missouri, USA
| | - Donaldson F Conserve
- Department of Prevention and Community Health, Milken Institute School of Public Health, The George Washington University, Washington, DC, USA
| | - Gregory A Aarons
- Department of Psychiatry, University of California, San Diego, La Jolla, California, USA
| | - Ayodotun Olutola
- Center for Clinical Care and Clinical Research, Abuja, FCT, Nigeria
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18
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Hachfeld A, Atkinson A, Stute P, Calmy A, Tarr PE, Darling K, Babouee Flury B, Polli C, Sultan-Beyer L, Abela IA, Aebi-Popp K. Women with HIV transitioning through menopause: Insights from the Swiss HIV Cohort Study (SHCS). HIV Med 2022; 23:417-425. [PMID: 35194949 PMCID: PMC9306735 DOI: 10.1111/hiv.13255] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2021] [Revised: 01/12/2022] [Accepted: 01/13/2022] [Indexed: 11/30/2022]
Abstract
Objectives We aimed to assess prevalence and age at menopause, identify factors associated with early menopause and explore the provision and utilization of healthcare in women living with HIV in Switzerland. Methods This was a retrospective Swiss HIV Cohort Study analysis from January 2010 to December 2018. Descriptive statistics to characterise the population and menopause onset. Logistic regression analysis to identify risk factors for early menopause. Results Of all women in the SHCS, the proportion of postmenopausal women tripled from 11.5% (n = 274) in 2010 to 36.1% (n = 961) in 2018. The median age at menopause was 50 years. Early menopause (< 45 years) occurred in 115 (10.2%) women and premature ovarian insufficiency (POI) (< 40 years) in 23 (2%) women. Early menopause was associated with black ethnicity (52.2% vs. 21.6%, p < 0.001), but not with HIV acquisition mode, CDC stage, viral suppression, CD4 cell count, hepatitis C, smoking or active drug use. While 92% of the postmenopausal women underwent a gynaecological examination during the 36 months before menopause documentation, only 27% received a bone mineral density measurement within 36 months after the last bleed and 11% were on hormone replacement therapy at the time of menopause documentation. Conclusions The median age of women living with HIV at menopause is around 2 years lower than that reported for HIV‐negative women in Switzerland. HIV care providers need to adapt their services to the requirements of the increasing number of women living with HIV transitioning through menopause. They should be able to recognize menopause‐associated symptoms and improve access to bone mineral density measurement as well as hormone replacement therapy.
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Affiliation(s)
- Anna Hachfeld
- Department of Infectious Diseases, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Andrew Atkinson
- Department of Infectious Diseases, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Petra Stute
- Departement of Obstetrics and Gynecology, Bern University Hospital and University of Bern, Bern, Switzerland
| | - Alexandra Calmy
- Department of Infectious Diseases University Hospital Geneva, Geneva, Switzerland
| | - Philip E Tarr
- Department of Infectious Diseases, University Hospital Basel, Bruderholz, Switzerland
| | - Katharine Darling
- Department of Infectious Diseases, University Hospital Lausanne, Lausanne, Switzerland
| | - Baharak Babouee Flury
- Department of Infectious Diseases, Cantonal Hospital St.Gallen, St.Gallen, Switzerland
| | - Christian Polli
- Department of Obstetrics and Gynecology, Regional Hospital, Lugano, Switzerland
| | - Leila Sultan-Beyer
- Department of Obstetrics and Gynecology, University Hospital and University of Zurich, Zurich, Switzerland
| | - Irene A Abela
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital and University of Zürich, Zurich, Switzerland
| | - Karoline Aebi-Popp
- Department of Infectious Diseases, Bern University Hospital, University of Bern, Bern, Switzerland
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19
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Detecting Selection in the HIV-1 Genome during Sexual Transmission Events. Viruses 2022; 14:v14020406. [PMID: 35215999 PMCID: PMC8876189 DOI: 10.3390/v14020406] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2021] [Revised: 02/04/2022] [Accepted: 02/11/2022] [Indexed: 01/27/2023] Open
Abstract
Little is known about whether and how variation in the HIV-1 genome affects its transmissibility. Assessing which genomic features of HIV-1 are under positive or negative selection during transmission is challenging, because very few virus particles are typically transmitted, and random genetic drift can dilute genetic signals in the recipient virus population. We analyzed 30 transmitter–recipient pairs from the Zurich Primary HIV Infection Study and the Swiss HIV Cohort Study using near full-length HIV-1 genomes. We developed a new statistical test to detect selection during transmission, called Selection Test in Transmission (SeTesT), based on comparing the transmitter and recipient virus population and accounting for the transmission bottleneck. We performed extensive simulations and found that sensitivity of detecting selection during transmission is limited by the strong population bottleneck of few transmitted virions. When pooling individual test results across patients, we found two candidate HIV-1 genomic features for affecting transmission, namely amino acid positions 3 and 18 of Vpu, which were significant before but not after correction for multiple testing. In summary, SeTesT provides a general framework for detecting selection based on genomic sequencing data of transmitted viruses. Our study shows that a higher number of transmitter–recipient pairs is required to improve sensitivity of detecting selection.
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20
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Wymant C, Bezemer D, Blanquart F, Ferretti L, Gall A, Hall M, Golubchik T, Bakker M, Ong SH, Zhao L, Bonsall D, de Cesare M, MacIntyre-Cockett G, Abeler-Dörner L, Albert J, Bannert N, Fellay J, Grabowski MK, Gunsenheimer-Bartmeyer B, Günthard HF, Kivelä P, Kouyos RD, Laeyendecker O, Meyer L, Porter K, Ristola M, van Sighem A, Berkhout B, Kellam P, Cornelissen M, Reiss P, Fraser C, Aubert V, Battegay M, Bernasconi E, Böni J, Braun DL, Bucher HC, Burton-Jeangros C, Calmy A, Cavassini M, Dollenmaier G, Egger M, Elzi L, Fehr J, Fellay J, Furrer H, Fux CA, Gorgievski M, Günthard H, Haerry D, Hasse B, Hirsch HH, Hoffmann M, Hösli I, Kahlert C, Kaiser L, Keiser O, Klimkait T, Kouyos R, Kovari H, Ledergerber B, Martinetti G, de Tejada BM, Marzolini C, Metzner K, Müller N, Nadal D, Nicca D, Pantaleo G, Rauch A, Regenass S, Rudin C, Schöni-Affolter F, Schmid P, Speck R, Stöckle M, Tarr P, Trkola A, Vernazza P, Weber R, Yerly S, van der Valk M, Geerlings SE, Goorhuis A, Hovius JW, Lempkes B, Nellen FJB, van der Poll T, Prins JM, Reiss P, van Vugt M, Wiersinga WJ, Wit FWMN, van Duinen M, van Eden J, Hazenberg A, van Hes AMH, Rajamanoharan S, Robinson T, Taylor B, Brewer C, Mayr C, Schmidt W, Speidel A, Strohbach F, Arastéh K, Cordes C, Pijnappel FJJ, Stündel M, Claus J, Baumgarten A, Carganico A, Ingiliz P, Dupke S, Freiwald M, Rausch M, Moll A, Schleehauf D, Smalhout SY, Hintsche B, Klausen G, Jessen H, Jessen A, Köppe S, Kreckel P, Schranz D, Fischer K, Schulbin H, Speer M, Weijsenfeld AM, Glaunsinger T, Wicke T, Bieniek B, Hillenbrand H, Schlote F, Lauenroth-Mai E, Schuler C, Schürmann D, Wesselmann H, Brockmeyer N, Jurriaans S, Gehring P, Schmalöer D, Hower M, Spornraft-Ragaller P, Häussinger D, Reuter S, Esser S, Markus R, Kreft B, Berzow D, Back NKT, Christl A, Meyer A, Plettenberg A, Stoehr A, Graefe K, Lorenzen T, Adam A, Schewe K, Weitner L, Fenske S, Zaaijer HL, Hansen S, Stellbrink HJ, Wiemer D, Hertling S, Schmidt R, Arbter P, Claus B, Galle P, Jäger H, Jä Gel-Guedes E, Berkhout B, Postel N, Fröschl M, Spinner C, Bogner J, Salzberger B, Schölmerich J, Audebert F, Marquardt T, Schaffert A, Schnaitmann E, Cornelissen MTE, Trein A, Frietsch B, Müller M, Ulmer A, Detering-Hübner B, Kern P, Schubert F, Dehn G, Schreiber M, Güler C, Schinkel CJ, Gunsenheimer-Bartmeyer B, Schmidt D, Meixenberger K, Bannert N, Wolthers KC, Peters EJG, van Agtmael MA, Autar RS, Bomers M, Sigaloff KCE, Heitmuller M, Laan LM, Ang CW, van Houdt R, Jonges M, Kuijpers TW, Pajkrt D, Scherpbier HJ, de Boer C, van der Plas A, van den Berge M, Stegeman A, Baas S, Hage de Looff L, Buiting A, Reuwer A, Veenemans J, Wintermans B, Pronk MJH, Ammerlaan HSM, van den Bersselaar DNJ, de Munnik ES, Deiman B, Jansz AR, Scharnhorst V, Tjhie J, Wegdam MCA, van Eeden A, Nellen J, Brokking W, Elsenburg LJM, Nobel H, van Kasteren MEE, Berrevoets MAH, Brouwer AE, Adams A, van Erve R, de Kruijf-van de Wiel BAFM, Keelan-Phaf S, van de Ven B, van der Ven B, Buiting AGM, Murck JL, de Vries-Sluijs TEMS, Bax HI, van Gorp ECM, de Jong-Peltenburg NC, de Mendonç A Melo M, van Nood E, Nouwen JL, Rijnders BJA, Rokx C, Schurink CAM, Slobbe L, Verbon A, Bassant N, van Beek JEA, Vriesde M, van Zonneveld LM, de Groot J, Boucher CAB, Koopmans MPG, van Kampen JJA, Fraaij PLA, van Rossum AMC, Vermont CL, van der Knaap LC, Visser E, Branger J, Douma RA, Cents-Bosma AS, Duijf-van de Ven CJHM, Schippers EF, van Nieuwkoop C, van Ijperen JM, Geilings J, van der Hut G, van Burgel ND, Leyten EMS, Gelinck LBS, Mollema F, Davids-Veldhuis S, Tearno C, Wildenbeest GS, Heikens E, Groeneveld PHP, Bouwhuis JW, Lammers AJJ, Kraan S, van Hulzen AGW, Kruiper MSM, van der Bliek GL, Bor PCJ, Debast SB, Wagenvoort GHJ, Kroon FP, de Boer MGJ, Jolink H, Lambregts MMC, Roukens AHE, Scheper H, Dorama W, van Holten N, Claas ECJ, Wessels E, den Hollander JG, El Moussaoui R, Pogany K, Brouwer CJ, Smit JV, Struik-Kalkman D, van Niekerk T, Pontesilli O, Lowe SH, Oude Lashof AML, Posthouwer D, van Wolfswinkel ME, Ackens RP, Burgers K, Schippers J, Weijenberg-Maes B, van Loo IHM, Havenith TRA, van Vonderen MGA, Kampschreur LM, Faber S, Steeman-Bouma R, Al Moujahid A, Kootstra GJ, Delsing CE, van der Burg-van de Plas M, Scheiberlich L, Kortmann W, van Twillert G, Renckens R, Ruiter-Pronk D, van Truijen-Oud FA, Cohen Stuart JWT, Jansen ER, Hoogewerf M, Rozemeijer W, van der Reijden WA, Sinnige JC, Brinkman K, van den Berk GEL, Blok WL, Lettinga KD, de Regt M, Schouten WEM, Stalenhoef JE, Veenstra J, Vrouenraets SME, Blaauw H, Geerders GF, Kleene MJ, Kok M, Knapen M, van der Meché IB, Mulder-Seeleman E, Toonen AJM, Wijnands S, Wttewaal E, Kwa D, van Crevel R, van Aerde K, Dofferhoff ASM, Henriet SSV, Ter Hofstede HJM, Hoogerwerf J, Keuter M, Richel O, Albers M, Grintjes-Huisman KJT, de Haan M, Marneef M, Strik-Albers R, Rahamat-Langendoen J, Stelma FF, Burger D, Gisolf EH, Hassing RJ, Claassen M, Ter Beest G, van Bentum PHM, Langebeek N, Tiemessen R, Swanink CMA, van Lelyveld SFL, Soetekouw R, van der Prijt LMM, van der Swaluw J, Bermon N, van der Reijden WA, Jansen R, Herpers BL, Veenendaal D, Verhagen DWM, Lauw FN, van Broekhuizen MC, van Wijk M, Bierman WFW, Bakker M, Kleinnijenhuis J, Kloeze E, Middel A, Postma DF, Schölvinck EH, Stienstra Y, Verhage AR, Wouthuyzen-Bakker M, Boonstra A, de Groot-de Jonge H, van der Meulen PA, de Weerd DA, Niesters HGM, van Leer-Buter CC, Knoester M, Hoepelman AIM, Arends JE, Barth RE, Bruns AHW, Ellerbroek PM, Mudrikova T, Oosterheert JJ, Schadd EM, van Welzen BJ, Aarsman K, Griffioen-van Santen BMG, de Kroon I, van Berkel M, van Rooijen CSAM, Schuurman R, Verduyn-Lunel F, Wensing AMJ, Bont LJ, Geelen SPM, Loeffen YGT, Wolfs TFW, Nauta N, Rooijakkers EOW, Holtsema H, Voigt R, van de Wetering D, Alberto A, van der Meer I, Rosingh A, Halaby T, Zaheri S, Boyd AC, Bezemer DO, van Sighem AI, Smit C, Hillebregt M, de Jong A, Woudstra T, Bergsma D, Meijering R, van de Sande L, Rutkens T, van der Vliet S, de Groot L, van den Akker M, Bakker Y, El Berkaoui A, Bezemer M, Brétin N, Djoechro E, Groters M, Kruijne E, Lelivelt KJ, Lodewijk C, Lucas E, Munjishvili L, Paling F, Peeck B, Ree C, Regtop R, Ruijs Y, Schoorl M, Schnörr P, Scheigrond A, Tuijn E, Veenenberg L, Visser KM, Witte EC, Ruijs Y, Van Frankenhuijsen M, Allegre T, Makhloufi D, Livrozet JM, Chiarello P, Godinot M, Brunel-Dalmas F, Gibert S, Trepo C, Peyramond D, Miailhes P, Koffi J, Thoirain V, Brochier C, Baudry T, Pailhes S, Lafeuillade A, Philip G, Hittinger G, Assi A, Lambry V, Rosenthal E, Naqvi A, Dunais B, Cua E, Pradier C, Durant J, Joulie A, Quinsat D, Tempesta S, Ravaux I, Martin IP, Faucher O, Cloarec N, Champagne H, Pichancourt G, Morlat P, Pistone T, Bonnet F, Mercie P, Faure I, Hessamfar M, Malvy D, Lacoste D, Pertusa MC, Vandenhende MA, Bernard N, Paccalin F, Martell C, Roger-Schmelz J, Receveur MC, Duffau P, Dondia D, Ribeiro E, Caltado S, Neau D, Dupont M, Dutronc H, Dauchy F, Cazanave C, Vareil MO, Wirth G, Le Puil S, Pellegrin JL, Raymond I, Viallard JF, Chaigne de Lalande S, Garipuy D, Delobel P, Obadia M, Cuzin L, Alvarez M, Biezunski N, Porte L, Massip P, Debard A, Balsarin F, Lagarrigue M, Prevoteau du Clary F, Aquilina C, Reynes J, Baillat V, Merle C, Lemoing V, Atoui N, Makinson A, Jacquet JM, Psomas C, Tramoni C, Aumaitre H, Saada M, Medus M, Malet M, Eden A, Neuville S, Ferreyra M, Sotto A, Barbuat C, Rouanet I, Leureillard D, Mauboussin JM, Lechiche C, Donsesco R, Cabie A, Abel S, Pierre-Francois S, Batala AS, Cerland C, Rangom C, Theresine N, Hoen B, Lamaury I, Fabre I, Schepers K, Curlier E, Ouissa R, Gaud C, Ricaud C, Rodet R, Wartel G, Sautron C, Beck-Wirth G, Michel C, Beck C, Halna JM, Kowalczyk J, Benomar M, Drobacheff-Thiebaut C, Chirouze C, Faucher JF, Parcelier F, Foltzer A, Haffner-Mauvais C, Hustache Mathieu M, Proust A, Piroth L, Chavanet P, Duong M, Buisson M, Waldner A, Mahy S, Gohier S, Croisier D, May T, Delestan M, Andre M, Zadeh MM, Martinot M, Rosolen B, Pachart A, Martha B, Jeunet N, Rey D, Cheneau C, Partisani M, Priester M, Bernard-Henry C, Batard ML, Fischer P, Berger JL, Kmiec I, Robineau O, Huleux T, Ajana F, Alcaraz I, Allienne C, Baclet V, Meybeck A, Valette M, Viget N, Aissi E, Biekre R, Cornavin P, Merrien D, Seghezzi JC, Machado M, Diab G, Raffi F, Bonnet B, Allavena C, Grossi O, Reliquet V, Billaud E, Brunet C, Bouchez S, Morineau-Le Houssine P, Sauser F, Boutoille D, Besnier M, Hue H, Hall N, Brosseau D, Souala F, Michelet C, Tattevin P, Arvieux C, Revest M, Leroy H, Chapplain JM, Dupont M, Fily F, Patra-Delo S, Lefeuvre C, Bernard L, Bastides F, Nau P, Verdon R, de la Blanchardiere A, Martin A, Feret P, Geffray L, Daniel C, Rohan J, Fialaire P, Chennebault JM, Rabier V, Abgueguen P, Rehaiem S, Luycx O, Niault M, Moreau P, Poinsignon Y, Goussef M, Mouton-Rioux V, Houlbert D, Alvarez-Huve S, Barbe F, Haret S, Perre P, Leantez-Nainville S, Esnault JL, Guimard T, Suaud I, Girard JJ, Simonet V, Debab Y, Schmit JL, Jacomet C, Weinberck P, Genet C, Pinet P, Ducroix S, Durox H, Denes É, Abraham B, Gourdon F, Antoniotti O, Molina JM, Ferret S, Lascoux-Combe C, Lafaurie M, Colin de Verdiere N, Ponscarme D, De Castro N, Aslan A, Rozenbaum W, Pintado C, Clavel F, Taulera O, Gatey C, Munier AL, Gazaigne S, Penot P, Conort G, Lerolle N, Leplatois A, Balausine S, Delgado J, Timsit J, Tabet M, Gerard L, Girard PM, Picard O, Tredup J, Bollens D, Valin N, Campa P, Bottero J, Lefebvre B, Tourneur M, Fonquernie L, Wemmert C, Lagneau JL, Yazdanpanah Y, Phung B, Pinto A, Vallois D, Cabras O, Louni F, Pialoux G, Lyavanc T, Berrebi V, Chas J, Lenagat S, Rami A, Diemer M, Parrinello M, Depond A, Salmon D, Guillevin L, Tahi T, Belarbi L, Loulergue P, Zak Dit Zbar O, Launay O, Silbermann B, Leport C, Alagna L, Pietri MP, Simon A, Bonmarchand M, Amirat N, Pichon F, Kirstetter M, Katlama C, Valantin MA, Tubiana R, Caby F, Schneider L, Ktorza N, Calin R, Merlet A, Ben Abdallah S, Weiss L, Buisson M, Batisse D, Karmochine M, Pavie J, Minozzi C, Jayle D, Castel P, Derouineau J, Kousignan P, Eliazevitch M, Pierre I, Collias L, Viard JP, Gilquin J, Sobel A, Slama L, Ghosn J, Hadacek B, Thu-Huyn N, Nait-Ighil L, Cros A, Maignan A, Duvivier C, Consigny PH, Lanternier F, Shoai-Tehrani M, Touam F, Jerbi S, Bodard L, Jung C, Goujard C, Quertainmont Y, Duracinsky M, Segeral O, Blanc A, Peretti D, Cheret A, Chantalat C, Dulucq MJ, Levy Y, Lelievre JD, Lascaux AS, Dumont C, Boue F, Chambrin V, Abgrall S, Kansau I, Raho-Moussa M, De Truchis P, Dinh A, Davido B, Marigot D, Berthe H, Devidas A, Chevojon P, Chabrol A, Agher N, Lemercier Y, Chaix F, Turpault I, Bouchaud O, Honore P, Rouveix E, Reimann E, Belan AG, Godin Collet C, Souak S, Mortier E, Bloch M, Simonpoli AM, Manceron V, Cahitte I, Hiraux E, Lafon E, Cordonnier F, Zeng AF, Zucman D, Majerholc C, Bornarel D, Uludag A, Gellen-Dautremer J, Lefort A, Bazin C, Daneluzzi V, Gerbe J, Jeantils V, Coupard M, Patey O, Bantsimba J, Delllion S, Paz PC, Cazenave B, Richier L, Garrait V, Delacroix I, Elharrar B, Vittecoq D, Bolliot C, Lepretre A, Genet P, Masse V, Perrone V, Boussard JL, Chardon P, Froguel E, Simon P, Tassi S, Avettand Fenoel V, Barin F, Bourgeois C, Cardon F, Chaix ML, Delfraissy JF, Essat A, Fischer H, Lecuroux C, Meyer L, Petrov-Sanchez V, Rouzioux C, Saez-Cirion A, Seng R, Kuldanek K, Mullaney S, Young C, Zucchetti A, Bevan MA, McKernan S, Wandolo E, Richardson C, Youssef E, Green P, Faulkner S, Faville R, Herman S, Care C, Blackman H, Bellenger K, Fairbrother K, Phillips A, Babiker A, Delpech V, Fidler S, Clarke M, Fox J, Gilson R, Goldberg D, Hawkins D, Johnson A, Johnson M, McLean K, Nastouli E, Post F, Kennedy N, Pritchard J, Andrady U, Rajda N, Donnelly C, McKernan S, Drake S, Gilleran G, White D, Ross J, Harding J, Faville R, Sweeney J, Flegg P, Toomer S, Wilding H, Woodward R, Dean G, Richardson C, Perry N, Gompels M, Jennings L, Bansaal D, Browing M, Connolly L, Stanley B, Estreich S, Magdy A, O'Mahony C, Fraser P, Jebakumar SPR, David L, Mette R, Summerfield H, Evans M, White C, Robertson R, Lean C, Morris S, Winter A, Faulkner S, Goorney B, Howard L, Fairley I, Stemp C, Short L, Gomez M, Young F, Roberts M, Green S, Sivakumar K, Minton J, Siminoni A, Calderwood J, Greenhough D, DeSouza C, Muthern L, Orkin C, Murphy S, Truvedi M, McLean K, Hawkins D, Higgs C, Moyes A, Antonucci S, McCormack S, Lynn W, Bevan M, Fox J, Teague A, Anderson J, Mguni S, Post F, Campbell L, Mazhude C, Russell H, Gilson R, Carrick G, Ainsworth J, Waters A, Byrne P, Johnson M, Fidler S, Kuldanek K, Mullaney S, Lawlor V, Melville R, Sukthankar A, Thorpe S, Murphy C, Wilkins E, Ahmad S, Green P, Tayal S, Ong E, Meaden J, Riddell L, Loay D, Peacock K, Blackman H, Harindra V, Saeed AM, Allen S, Natarajan U, Williams O, Lacey H, Care C, Bowman C, Herman S, Devendra SV, Wither J, Bridgwood A, Singh G, Bushby S, Kellock D, Young S, Rooney G, Snart B, Currie J, Fitzgerald M, Arumainayyagam J, Chandramani S. A highly virulent variant of HIV-1 circulating in the Netherlands. Science 2022; 375:540-545. [PMID: 35113714 DOI: 10.1126/science.abk1688] [Citation(s) in RCA: 32] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
We discovered a highly virulent variant of subtype-B HIV-1 in the Netherlands. One hundred nine individuals with this variant had a 0.54 to 0.74 log10 increase (i.e., a ~3.5-fold to 5.5-fold increase) in viral load compared with, and exhibited CD4 cell decline twice as fast as, 6604 individuals with other subtype-B strains. Without treatment, advanced HIV-CD4 cell counts below 350 cells per cubic millimeter, with long-term clinical consequences-is expected to be reached, on average, 9 months after diagnosis for individuals in their thirties with this variant. Age, sex, suspected mode of transmission, and place of birth for the aforementioned 109 individuals were typical for HIV-positive people in the Netherlands, which suggests that the increased virulence is attributable to the viral strain. Genetic sequence analysis suggests that this variant arose in the 1990s from de novo mutation, not recombination, with increased transmissibility and an unfamiliar molecular mechanism of virulence.
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Affiliation(s)
- Chris Wymant
- Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | | | - François Blanquart
- Centre for Interdisciplinary Research in Biology (CIRB), Collège de France, CNRS, INSERM, PSL Research University, Paris, France.,IAME, UMR 1137, INSERM, Université de Paris, Paris, France
| | - Luca Ferretti
- Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Astrid Gall
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - Matthew Hall
- Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Tanya Golubchik
- Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Margreet Bakker
- Laboratory of Experimental Virology, Department of Medical Microbiology and Infection Prevention, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, Netherlands
| | - Swee Hoe Ong
- Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge, UK
| | - Lele Zhao
- Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - David Bonsall
- Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Medicine, University of Oxford, Oxford, UK.,Wellcome Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Mariateresa de Cesare
- Wellcome Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - George MacIntyre-Cockett
- Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Medicine, University of Oxford, Oxford, UK.,Wellcome Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Lucie Abeler-Dörner
- Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Jan Albert
- Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm, Sweden.,Department of Clinical Microbiology, Karolinska University Hospital, Stockholm, Sweden
| | - Norbert Bannert
- Division for HIV and Other Retroviruses, Department of Infectious Diseases, Robert Koch Institute, Berlin, Germany
| | - Jacques Fellay
- School of Life Sciences, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.,Swiss Institute of Bioinformatics, Lausanne, Switzerland.,Precision Medicine Unit, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - M Kate Grabowski
- Department of Pathology, John Hopkins University, Baltimore, MD, USA
| | | | - Huldrych F Günthard
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, Zurich, Switzerland.,Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Pia Kivelä
- Department of Infectious Diseases, Helsinki University Hospital, Helsinki, Finland
| | - Roger D Kouyos
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, Zurich, Switzerland.,Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | | | - Laurence Meyer
- INSERM CESP U1018, Université Paris Saclay, APHP, Service de Santé Publique, Hôpital de Bicêtre, Le Kremlin-Bicêtre, France
| | - Kholoud Porter
- Institute for Global Health, University College London, London, UK
| | - Matti Ristola
- Department of Infectious Diseases, Helsinki University Hospital, Helsinki, Finland
| | | | - Ben Berkhout
- Laboratory of Experimental Virology, Department of Medical Microbiology and Infection Prevention, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, Netherlands
| | - Paul Kellam
- Kymab Ltd., Cambridge, UK.,Department of Infectious Diseases, Faculty of Medicine, Imperial College London, London, UK
| | - Marion Cornelissen
- Laboratory of Experimental Virology, Department of Medical Microbiology and Infection Prevention, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, Netherlands.,Molecular Diagnostic Unit, Department of Medical Microbiology and Infection Prevention, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, Netherlands
| | - Peter Reiss
- Stichting HIV Monitoring, Amsterdam, Netherlands.,Department of Global Health, Amsterdam University Medical Centers, University of Amsterdam and Amsterdam Institute for Global Health and Development, Amsterdam, Netherlands
| | - Christophe Fraser
- Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Medicine, University of Oxford, Oxford, UK.,Wellcome Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford, UK
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21
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Bick AG, Popadin K, Thorball CW, Uddin MM, Zanni MV, Yu B, Cavassini M, Rauch A, Tarr P, Schmid P, Bernasconi E, Günthard HF, Libby P, Boerwinkle E, McLaren PJ, Ballantyne CM, Grinspoon S, Natarajan P, Fellay J. Increased prevalence of clonal hematopoiesis of indeterminate potential amongst people living with HIV. Sci Rep 2022; 12:577. [PMID: 35022435 PMCID: PMC8755790 DOI: 10.1038/s41598-021-04308-2] [Citation(s) in RCA: 27] [Impact Index Per Article: 13.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2021] [Accepted: 12/20/2021] [Indexed: 01/10/2023] Open
Abstract
People living with human immunodeficiency virus (PLWH) have significantly increased risk for cardiovascular disease in part due to inflammation and immune dysregulation. Clonal hematopoiesis of indeterminate potential (CHIP), the age-related acquisition and expansion of hematopoietic stem cells due to leukemogenic driver mutations, increases risk for both hematologic malignancy and coronary artery disease (CAD). Since increased inflammation is hypothesized to be both a cause and consequence of CHIP, we hypothesized that PLWH have a greater prevalence of CHIP. We searched for CHIP in multi-ethnic cases from the Swiss HIV Cohort Study (SHCS, n = 600) and controls from the Atherosclerosis Risk in the Communities study (ARIC, n = 8111) from blood DNA-derived exome sequences. We observed that HIV is associated with a twofold increase in CHIP prevalence, both in the whole study population and in a subset of 230 cases and 1002 matched controls selected by propensity matching to control for demographic imbalances (SHCS 7%, ARIC 3%, p = 0.005). We also observed that ASXL1 is the most commonly mutated CHIP-associated gene in PLWH. Our results suggest that CHIP may contribute to the excess cardiovascular risk observed in PLWH.
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Affiliation(s)
- Alexander G Bick
- Division of Genetic Medicine, Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Konstantin Popadin
- School of Life Sciences, École Polytechnique Fédérale de Lausanne, Station 19, 1015, Lausanne, Switzerland.,Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Christian W Thorball
- School of Life Sciences, École Polytechnique Fédérale de Lausanne, Station 19, 1015, Lausanne, Switzerland.,Precision Medicine Unit, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | | | - Markella V Zanni
- Metabolism Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Bing Yu
- Human Genetics Center, Baylor College of Medicine, University of Texas Health Science Center, Houston, TX, USA
| | - Matthias Cavassini
- Service of Infectious Diseases, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Andri Rauch
- Department of Infectious Diseases, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Philip Tarr
- Department of Infectious Diseases and Hospital Epidemiology, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Patrick Schmid
- Division of Infectious Diseases and Hospital Epidemiology, Cantonal Hospital St.Gallen, St.Gallen, Switzerland
| | - Enos Bernasconi
- Division of Infectious Diseases, Regional Hospital of Lugano, Lugano, Switzerland
| | - Huldrych F Günthard
- Department of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, Zurich, Switzerland.,Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Peter Libby
- Division of Cardiovascular Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Eric Boerwinkle
- Human Genetics Center, Baylor College of Medicine, University of Texas Health Science Center, Houston, TX, USA
| | - Paul J McLaren
- JC Wilt Infectious Diseases Research Centre, National Microbiology Laboratory, Public Health Agency of Canada, Winnipeg, Canada.,Department of Medical Microbiology and Infectious Diseases, University of Manitoba, Winnipeg, Canada
| | | | - Steven Grinspoon
- Metabolism Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Pradeep Natarajan
- Broad Institute of MIT and Harvard, Cambridge, MA, USA. .,Cardiovascular Research Center, Massachusetts General Hospital, 185 Cambridge Street, CPZN 3.184, Boston, MA, 02114, USA.
| | - Jacques Fellay
- School of Life Sciences, École Polytechnique Fédérale de Lausanne, Station 19, 1015, Lausanne, Switzerland. .,Swiss Institute of Bioinformatics, Lausanne, Switzerland. .,Precision Medicine Unit, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.
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22
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Salvador GLDO. Is it possible to refine cardiovascular risk scores in People living with HIV? Eur J Prev Cardiol 2021; 29:687-688. [PMID: 34927680 DOI: 10.1093/eurjpc/zwab225] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
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Delabays B, Cavassini M, Damas J, Beuret H, Calmy A, Hasse B, Bucher HC, Frischknecht M, Müller O, Méan M, Vollenweider P, Marques-Vidal P, Vaucher J. Cardiovascular risk assessment in people living with HIV compared to the general population. Eur J Prev Cardiol 2021; 29:689-699. [PMID: 34893801 DOI: 10.1093/eurjpc/zwab201] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/17/2021] [Revised: 11/02/2021] [Accepted: 11/12/2021] [Indexed: 12/16/2022]
Abstract
AIMS We prospectively assessed and compared the accuracy of cardiovascular risk scores in people living with HIV (PLWH) and individuals from the general population. METHODS AND RESULTS The Systematic Coronary Risk Evaluation Score 2 (SCORE2), the Pooled Cohort Equations (PCE), and the HIV-specific Data Collection on Adverse events of Anti-HIV Drugs (D:A:D) score were calculated in participants free from atherosclerotic cardiovascular disease (ASCVD) between 2003 and 2009. In total, 6373 [mean age, 40.6 years (SD, 9.9)] PLWH from the Swiss HIV Cohort Study (SHCS) and 5403 [52.8 years (SD, 10.7)] individuals from the CoLaus|PsyCoLaus study were eligible for analysis. We tested discrimination and calibration, and the value of adding HIV-specific factors to scores using the net reclassification improvement (NRI). During mean follow-ups of 13.5 (SD, 4.1) in SHCS and 9.9 (SD, 2.3) years in CoLaus|PsyCoLaus study, 533 (8.4%) and 374 (6.9%) people developed an incident ASCVD, respectively. This translated into age-adjusted incidence rates of 12.9 and 7.5 per 1000 person-year, respectively. In SHCS, SCORE2, PCE, and D:A:D presented comparable discriminative capacities [area under the receiver operating characteristic curve of 0.745 (95% confidence interval, CI, 0.723-0.767), 0.757 (95% CI, 0.736-0.777), and 0.763 (95% CI, 0.743-0.783)]. Adding HIV-specific variables (CD4 nadir and abacavir exposure) to SCORE2 and PCE resulted in an NRI of -0.1% (95% CI, -1.24 to 1, P = 0.83) and of 2.7% (95% CI, 0.3-5.1, P = 0.03), respectively. CONCLUSIONS PLWH present a two-fold higher rate of incident ASCVD compared to individuals from the general population. SCORE2 and PCE, which are clinically easier to use (reduced set of variables without adding HIV-specific factors), are valid to predict ASCVD in PLWH.
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Affiliation(s)
- Benoît Delabays
- Division of Internal Medicine, Department of Medicine, Lausanne University Hospital and University of Lausanne, Rue du Bugnon 46, 1011 Lausanne, Switzerland
| | - Matthias Cavassini
- Division of Infectious Diseases, Department of Medicine, Lausanne University Hospital and University of Lausanne, Rue du Bugnon 46, 1011 Lausanne, Switzerland
| | - Jose Damas
- Division of Infectious Diseases, Department of Medicine, Lausanne University Hospital and University of Lausanne, Rue du Bugnon 46, 1011 Lausanne, Switzerland
| | - Hadrien Beuret
- Division of Internal Medicine, Department of Medicine, Lausanne University Hospital and University of Lausanne, Rue du Bugnon 46, 1011 Lausanne, Switzerland
| | - Alexandra Calmy
- Division of Infectious Diseases, Department of Medicine, Geneva University Hospital, Rue Gabrielle-Perret-Gentil 4, 1205 Geneva, Switzerland
| | - Barbara Hasse
- Department of Infectious Diseases and Hospital Epidemiology, Zürich University Hospital, Rämistrasse 100, 8091 Zürich, Switzerland
| | - Heiner C Bucher
- Basel Institute for Clinical Epidemiology & Biostatistics, Basel University Hospital, Spitalstrasse 12, 4031 Basel, Switzerland
| | - Manuel Frischknecht
- Division of Infectious Diseases and Hospital Epidemiology, Department of Internal Medicine, Cantonal Hospital St. Gallen, Rorschacher Strasse 95, 9007 St. Gallen, Switzerland
| | - Olivier Müller
- Division of Cardiology, Heart and Vessel Department, Lausanne University Hospital and University of Lausanne, Rue du Bugnon 46, 1011 Lausanne, Switzerland
| | - Marie Méan
- Division of Internal Medicine, Department of Medicine, Lausanne University Hospital and University of Lausanne, Rue du Bugnon 46, 1011 Lausanne, Switzerland
| | - Peter Vollenweider
- Division of Internal Medicine, Department of Medicine, Lausanne University Hospital and University of Lausanne, Rue du Bugnon 46, 1011 Lausanne, Switzerland
| | - Pedro Marques-Vidal
- Division of Internal Medicine, Department of Medicine, Lausanne University Hospital and University of Lausanne, Rue du Bugnon 46, 1011 Lausanne, Switzerland
| | - Julien Vaucher
- Division of Internal Medicine, Department of Medicine, Lausanne University Hospital and University of Lausanne, Rue du Bugnon 46, 1011 Lausanne, Switzerland
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24
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Abstract
Objective: The aim of this study was to examine neurocognitive course over time among people with well treated HIV. Design: The Neurocognitive Assessment in the Metabolic and Aging Cohort (NAMACO) study is an ongoing, prospective, longitudinal, multicenter and multilingual study within the Swiss HIV Cohort Study (SHCS). Participants undergo neuropsychological assessment at baseline and two-yearly follow-up. Setting: Seven SHCS centres. Participants: Patients aged at least 45 years enrolled in the SHCS with fluency in the local language (French, German or Italian) and agreeing to participate in the NAMACO study: 981 participants at baseline, 720 at 2-year follow-up of whom 644 had complete data sets. Intervention: Standardized neuropsychological assessment at baseline and 2-year follow-up. Main outcome measure: Neurocognitive performance using Frascati criteria and mean z-scores. Results: Four participants (of 644, 0.6%) had plasma HIV-1 RNA more than 50 copies/ml; median CD4+ cell count was 660 cells/μl. According to Frascati criteria, 204 participants (31.7%) had neurocognitive impairment (NCI) at baseline. NCI severity in these participants changed little over 2 years and comprehensive models based on Frascati criteria were not feasible. Examining mean z-scores, however, we observed neurocognitive stability or improvement over two years in five of seven neurocognitive domains assessed. Age at least 65 years (P = 0.02) and cognitive complaints (P = 0.004) were associated with neurocognitive decline, while black race (P = 0.01) and dolutegravir treatment (P = 0.002) were associated with improvement. Conclusion: Frascati criteria were less sensitive in measuring NCI change and therefore unsuitable for following neurocognitive course in our cohort of people with well treated HIV. Examining neurocognitive course by mean z-score change, we observed stability or improvement.
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25
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Balakrishna S, Wolfensberger A, Kachalov V, Roth JA, Kusejko K, Scherrer AU, Furrer H, Hauser C, Calmy A, Cavassini M, Schmid P, Bernasconi E, Battegay M, Günthard HF, Kouyos RD. Decreasing incidence and determinants of Bacterial Pneumonia in people with HIV: The Swiss HIV Cohort Study. J Infect Dis 2021; 225:1592-1600. [PMID: 34792153 DOI: 10.1093/infdis/jiab573] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2021] [Accepted: 11/16/2021] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Bacterial pneumonia is one of the leading reasons for hospitalization among people with HIV (PWH), yet there is limited evidence regarding its drivers in the era of potent antiretroviral therapy. METHODS We assessed risk-factors for bacterial pneumonia in PWH enrolled in the Swiss HIV Cohort Study using univariable and multivariable marginal models. We further assessed the relationship between risk-factors and changes in bacterial pneumonia incidence using mediation analysis. RESULTS We included 12927 PWH with follow-ups between 2008 and 2018. These patients had 985 bacterial pneumonia events during a follow-up of 100779 person-years(py). bacterial pneumonia incidence significantly decreased from 13.2 cases/1000 py in 2008 to 6.8 cases/1000 py in 2018. Older age, lower education-level, intravenous drug use, smoking, lower CD4-cell-count, higher HIV-viral load, and prior pneumonia events were significantly associated with higher bacterial pneumonia incidence. Notably, even CD4-cell-counts 350-499 were significantly associated with an increased risk compared to CD4≥500 (adjusted HR,1.39; 95% CI,1.01-1.89). Finally, we found that the decreasing incidence over the last decade can be explained by decreasing proportion of patients with CD4<500, viral-RNA>200, and smoking>one cigarette/day. CONCLUSION Improvements in cascade of care of HIV and decrease in smoking may have mediated a substantial decrease in bacterial pneumonia incidence.
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Affiliation(s)
- Suraj Balakrishna
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.,Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Aline Wolfensberger
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Viacheslav Kachalov
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.,Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Jan A Roth
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Basel, University of Basel, Basel, Switzerland.,Basel Institute for Clinical Epidemiology and Biostatistics, University Hospital Basel, University of Basel, Basel, Switzerland.,Division of Research and Analytical Services, Department of Informatics, University Hospital Basel, Basel, Switzerland
| | - Katharina Kusejko
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.,Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Alexandra U Scherrer
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.,Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Hansjakob Furrer
- Department of Infectious Diseases, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Christoph Hauser
- Department of Infectious Diseases, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Alexandra Calmy
- Division of Infectious Diseases, University Hospital Geneva, University of Geneva, Geneva, Switzerland
| | - Matthias Cavassini
- Division of Infectious Diseases, University Hospital Lausanne, University of Lausanne, Lausanne, Switzerland
| | - Patrick Schmid
- Division of Infectious Diseases and Hospital Epidemiology, Cantonal Hospital St. Gallen, St. Gallen, Switzerland
| | - Enos Bernasconi
- Division of Infectious Diseases, Regional Hospital Lugano, Lugano, Switzerland
| | - Manuel Battegay
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Huldrych F Günthard
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.,Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Roger D Kouyos
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.,Institute of Medical Virology, University of Zurich, Zurich, Switzerland
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26
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Friedrich N, Stiegeler E, Glögl M, Lemmin T, Hansen S, Kadelka C, Wu Y, Ernst P, Maliqi L, Foulkes C, Morin M, Eroglu M, Liechti T, Ivan B, Reinberg T, Schaefer JV, Karakus U, Ursprung S, Mann A, Rusert P, Kouyos RD, Robinson JA, Günthard HF, Plückthun A, Trkola A. Distinct conformations of the HIV-1 V3 loop crown are targetable for broad neutralization. Nat Commun 2021; 12:6705. [PMID: 34795280 PMCID: PMC8602657 DOI: 10.1038/s41467-021-27075-0] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2021] [Accepted: 11/03/2021] [Indexed: 12/14/2022] Open
Abstract
The V3 loop of the HIV-1 envelope (Env) protein elicits a vigorous, but largely non-neutralizing antibody response directed to the V3-crown, whereas rare broadly neutralizing antibodies (bnAbs) target the V3-base. Challenging this view, we present V3-crown directed broadly neutralizing Designed Ankyrin Repeat Proteins (bnDs) matching the breadth of V3-base bnAbs. While most bnAbs target prefusion Env, V3-crown bnDs bind open Env conformations triggered by CD4 engagement. BnDs achieve breadth by focusing on highly conserved residues that are accessible in two distinct V3 conformations, one of which resembles CCR5-bound V3. We further show that these V3-crown conformations can, in principle, be attacked by antibodies. Supporting this conclusion, analysis of antibody binding activity in the Swiss 4.5 K HIV-1 cohort (n = 4,281) revealed a co-evolution of V3-crown reactivities and neutralization breadth. Our results indicate a role of V3-crown responses and its conformational preferences in bnAb development to be considered in preventive and therapeutic approaches.
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Affiliation(s)
- Nikolas Friedrich
- grid.7400.30000 0004 1937 0650Institute of Medical Virology, University of Zurich (UZH), Zurich, Switzerland
| | - Emanuel Stiegeler
- grid.7400.30000 0004 1937 0650Institute of Medical Virology, University of Zurich (UZH), Zurich, Switzerland ,grid.424277.0Present Address: Roche Diagnostics GmbH, Nonnenwald 2, 82377 Penzberg, Deutschland
| | - Matthias Glögl
- grid.7400.30000 0004 1937 0650Institute of Medical Virology, University of Zurich (UZH), Zurich, Switzerland
| | - Thomas Lemmin
- grid.7400.30000 0004 1937 0650Institute of Medical Virology, University of Zurich (UZH), Zurich, Switzerland ,grid.5801.c0000 0001 2156 2780Department of Computer Science, ETH Zurich, Zurich, Switzerland ,grid.29078.340000 0001 2203 2861Present Address: Euler Institute, Faculty of Biomedicine, Università della Svizzera italiana (USI), Lugano, Switzerland
| | - Simon Hansen
- grid.7400.30000 0004 1937 0650Department of Biochemistry, University of Zurich (UZH), Zurich, Switzerland ,Present Address: NGM Bio, 333 Oysterpoint Blvd, South San Francisco, CA 94080 USA
| | - Claus Kadelka
- grid.34421.300000 0004 1936 7312Department of Mathematics, Iowa State University, Ames, IA USA
| | - Yufan Wu
- grid.7400.30000 0004 1937 0650Department of Biochemistry, University of Zurich (UZH), Zurich, Switzerland ,Present Address: Innovent Biologics Inc, 168 Dongping Street, Suzhou Industrial Park, 215123 China
| | - Patrick Ernst
- grid.7400.30000 0004 1937 0650Department of Biochemistry, University of Zurich (UZH), Zurich, Switzerland ,grid.7400.30000 0004 1937 0650Present Address: Office Research and Teaching, Medical Faculty, University of Zurich, Zurich, Switzerland
| | - Liridona Maliqi
- grid.7400.30000 0004 1937 0650Institute of Medical Virology, University of Zurich (UZH), Zurich, Switzerland
| | - Caio Foulkes
- grid.7400.30000 0004 1937 0650Institute of Medical Virology, University of Zurich (UZH), Zurich, Switzerland
| | - Mylène Morin
- grid.7400.30000 0004 1937 0650Department of Chemistry, University of Zurich (UZH), Zurich, Switzerland ,Present Address: BeiGene Switzerland GmbH, Aeschengraben 27, 4051 Basel, Switzerland
| | - Mustafa Eroglu
- grid.7400.30000 0004 1937 0650Institute of Medical Virology, University of Zurich (UZH), Zurich, Switzerland ,Present Address: Janssen Vaccines AG, Rehhagstrasse 79, 3018 Bern, Switzerland
| | - Thomas Liechti
- grid.7400.30000 0004 1937 0650Institute of Medical Virology, University of Zurich (UZH), Zurich, Switzerland ,grid.419681.30000 0001 2164 9667Present Address: ImmunoTechnology Section, Vaccine Research Center, NIAID, NIH, Bethesda, MD USA
| | - Branislav Ivan
- grid.7400.30000 0004 1937 0650Institute of Medical Virology, University of Zurich (UZH), Zurich, Switzerland ,grid.410567.1Present Address: Laboratory Medicine, Division of Clinical Chemistry, University Hospital Basel, Basel, Switzerland
| | - Thomas Reinberg
- grid.7400.30000 0004 1937 0650Department of Biochemistry, University of Zurich (UZH), Zurich, Switzerland
| | - Jonas V. Schaefer
- grid.7400.30000 0004 1937 0650Department of Biochemistry, University of Zurich (UZH), Zurich, Switzerland ,grid.419481.10000 0001 1515 9979Present Address: Novartis Institutes for BioMedical Research, Chemical Biology & Therapeutics (CBT), Novartis Pharma AG, Virchow 16, 4056 Basel, Switzerland
| | - Umut Karakus
- grid.7400.30000 0004 1937 0650Institute of Medical Virology, University of Zurich (UZH), Zurich, Switzerland
| | - Stephan Ursprung
- grid.7400.30000 0004 1937 0650Institute of Medical Virology, University of Zurich (UZH), Zurich, Switzerland ,grid.5335.00000000121885934Present Address: University of Cambridge School of Clinical Medicine, Department of Radiology, Cambridge, CB2 0QQ UK
| | - Axel Mann
- grid.7400.30000 0004 1937 0650Institute of Medical Virology, University of Zurich (UZH), Zurich, Switzerland ,Present Address: Roche Innovation Center Zurich, Roche Pharmaceutical Research and Early Development (pRED), Wagistrasse 10, 8952 Schlieren, Switzerland
| | - Peter Rusert
- grid.7400.30000 0004 1937 0650Institute of Medical Virology, University of Zurich (UZH), Zurich, Switzerland
| | - Roger D. Kouyos
- grid.7400.30000 0004 1937 0650Institute of Medical Virology, University of Zurich (UZH), Zurich, Switzerland ,grid.412004.30000 0004 0478 9977Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich (USZ), Zurich, Switzerland
| | - John A. Robinson
- grid.7400.30000 0004 1937 0650Department of Chemistry, University of Zurich (UZH), Zurich, Switzerland
| | - Huldrych F. Günthard
- grid.7400.30000 0004 1937 0650Institute of Medical Virology, University of Zurich (UZH), Zurich, Switzerland ,grid.412004.30000 0004 0478 9977Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich (USZ), Zurich, Switzerland
| | - Andreas Plückthun
- grid.7400.30000 0004 1937 0650Department of Biochemistry, University of Zurich (UZH), Zurich, Switzerland
| | - Alexandra Trkola
- Institute of Medical Virology, University of Zurich (UZH), Zurich, Switzerland.
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27
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Jakeman B, Scherrer A, Battegay M, Gunthard HF, Hachfeld A, Calmy A, Schmid P, Bernasconi E, Cavassini M, Marzolini C. Anticholinergic medication use in elderly people living with HIV and self-reported neurocognitive impairment: a prospective cohort study. J Antimicrob Chemother 2021; 77:492-499. [PMID: 34734255 DOI: 10.1093/jac/dkab386] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2021] [Accepted: 09/28/2021] [Indexed: 01/23/2023] Open
Abstract
BACKGROUND Anticholinergic (ACH) medications have been associated with neurocognitive impairment, particularly in the elderly. This study determined prospectively the prevalence of prescribed ACH medications and their association with self-reported neurocognitive impairment (SRNI) in elderly people living with HIV (PLWH) of the Swiss HIV Cohort Study (SHCS). METHODS A literature review was performed to identify ACH medications, which were scored 0 to 3 (higher score indicating more ACH burden). Prescriptions were reviewed in July 2019 for all SHCS participants ≥65 years old to assess the prevalence of ACH medications. Association between ACH burden and neurocognitive impairment was evaluated using the SHCS SRNI questions addressing memory loss, attention difficulties and slowing in reasoning. RESULTS One thousand and nineteen PLWH (82% male) with a median age of 70 (IQR = 67-74) years were included. Most participants were on ART (99%). The average number of non-HIV drugs was 5.1 ± 3.6, representing a polypharmacy prevalence of 50%. Two hundred participants (20%) were on ≥1 ACH medication, with an average ACH score of 1.7 ± 1.3. SRNI, adjusted for age, sex, CD4, nadir CD4, viral load, efavirenz use and polypharmacy, was associated with depression (OR = 4.60; 95% CI = 2.62-8.09) and a trend was observed with being on ≥1 ACH medication (OR = 1.69; 95% CI = 0.97-2.95). In a subgroup analysis of participants without depression (n = 911), SRNI was associated with the use of ≥1 ACH medication (OR = 2.51; 95% CI = 1.31-4.80). CONCLUSIONS ACH medication use is common in elderly PLWH and contributes to SRNI. The effect of ACH medications on neurocognitive impairment warrants further evaluation using neurocognitive tests.
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Affiliation(s)
- Bernadette Jakeman
- Department of Pharmaceutical Practice and Administrative Sciences, University of New Mexico College of Pharmacy, Albuquerque, NM, USA.,Division of Infectious Diseases and Hospital Epidemiology, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Alexandra Scherrer
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, Zurich, Switzerland.,Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Manuel Battegay
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Huldrych F Gunthard
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, Zurich, Switzerland.,Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Anna Hachfeld
- Department of Infectious Diseases, University Hospital of Bern, University of Bern, Bern, Switzerland
| | - Alexandra Calmy
- Division of Infectious Diseases, University Hospital Geneva, University of Geneva, Geneva, Switzerland
| | - Patrick Schmid
- Department of Infectious Diseases and Hospital Epidemiology, Cantonal Hospital St. Gallen, St. Gallen, Switzerland
| | - Enos Bernasconi
- Division of Infectious Diseases, Regional Hospital Lugano, University of Geneva and University of Southern Switzerland, Lugano, Switzerland
| | - Matthias Cavassini
- Service of Infectious Diseases, University Hospital Lausanne, University of Lausanne, Lausanne, Switzerland
| | - Catia Marzolini
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Basel, University of Basel, Basel, Switzerland
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28
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Balakrishna S, Salazar-Vizcaya L, Schmidt AJ, Kachalov V, Kusejko K, Thurnheer MC, Roth JA, Nicca D, Cavassini M, Battegay M, Schmid P, Bernasconi E, Günthard HF, Rauch A, Kouyos RD. Assessing the drivers of syphilis among men who have sex with men in Switzerland reveals a key impact of screening frequency: A modelling study. PLoS Comput Biol 2021; 17:e1009529. [PMID: 34699524 PMCID: PMC8570495 DOI: 10.1371/journal.pcbi.1009529] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2021] [Revised: 11/05/2021] [Accepted: 10/05/2021] [Indexed: 01/06/2023] Open
Abstract
Over the last decade, syphilis diagnoses among men-who-have-sex-with-men (MSM) have strongly increased in Europe. Understanding the drivers of the ongoing epidemic may aid to curb transmissions. In order to identify the drivers of syphilis transmission in MSM in Switzerland between 2006 and 2017 as well as the effect of potential interventions, we set up an epidemiological model stratified by syphilis stage, HIV-diagnosis, and behavioral factors to account for syphilis infectiousness and risk for transmission. In the main model, we used ‘reported non-steady partners’ (nsP) as the main proxy for sexual risk. We parameterized the model using data from the Swiss HIV Cohort Study, Swiss Voluntary Counselling and Testing center, cross-sectional surveys among the Swiss MSM population, and published syphilis notifications from the Federal Office of Public Health. The main model reproduced the increase in syphilis diagnoses from 168 cases in 2006 to 418 cases in 2017. It estimated that between 2006 and 2017, MSM with HIV diagnosis had 45.9 times the median syphilis incidence of MSM without HIV diagnosis. Defining risk as condomless anal intercourse with nsP decreased model accuracy (sum of squared weighted residuals, 378.8 vs. 148.3). Counterfactual scenarios suggested that increasing screening of MSM without HIV diagnosis and with nsP from once every two years to twice per year may reduce syphilis incidence (at most 12.8% reduction by 2017). Whereas, increasing screening among MSM with HIV diagnosis and with nsP from once per year to twice per year may substantially reduce syphilis incidence over time (at least 63.5% reduction by 2017). The model suggests that reporting nsP regardless of condom use is suitable for risk stratification when modelling syphilis transmission. More frequent screening of MSM with HIV diagnosis, particularly those with nsP may aid to curb syphilis transmission. Syphilis, one of the most common sexually transmitted infections, remains a major public health problem. Over the last decade, a rising number of diagnoses especially in men-who-have-sex-with-men (MSM) was observed in Western Europe and Northern America. In Switzerland, the number of syphilis diagnoses in MSM tripled between 2006 and 2017. In this study, we used a mathematical model to assess the drivers of this increase among MSM in Switzerland. Our model could reproduce the increase in syphilis diagnoses in both MSM with and without HIV diagnosis between 2006 and 2017. Based on this model we found that MSM with HIV diagnosis have an over 45 times higher syphilis incidence than MSM without HIV diagnosis. Furthermore, we found that reported sex with non-steady partners is a useful proxy of behavioral risk. Considering counterfactual scenarios, we showed that increasing the screening frequency for syphilis among MSM with HIV diagnosis and with non-steady partners from once a year to twice per year can reduce syphilis incidence by 63.5% to 99.2%.
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Affiliation(s)
- Suraj Balakrishna
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, Zurich, Switzerland
- Institute of Medical Virology, University of Zurich, Zurich, Switzerland
- * E-mail:
| | - Luisa Salazar-Vizcaya
- Department of Infectious Diseases, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Axel J. Schmidt
- Division of Infectious Diseases and Hospital Epidemiology, Cantonal Hospital St. Gallen, Switzerland
- Sigma Research, London School of Hygiene and Tropical Medicine, United Kingdom
| | - Viacheslav Kachalov
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, Zurich, Switzerland
- Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Katharina Kusejko
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, Zurich, Switzerland
- Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | | | - Jan A. Roth
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Basel, University of Basel, Basel, Switzerland
- Basel Institute for Clinical Epidemiology, University Hospital Basel, Basel, Switzerland
- Division of Research and Analytical Services, Department of Informatics, University Hospital Basel, Basel, Switzerland
| | - Dunja Nicca
- Institute of Nursing Science, University of Basel, Basel, Switzerland
| | - Matthias Cavassini
- Division of Infectious Diseases, Lausanne University Hospital, Lausanne, Switzerland
| | - Manuel Battegay
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Patrick Schmid
- Division of Infectious Diseases and Hospital Epidemiology, Cantonal Hospital St. Gallen, Switzerland
| | - Enos Bernasconi
- Division of Infectious Diseases, Regional Hospital Lugano, Lugano, Switzerland
| | - Huldrych F. Günthard
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, Zurich, Switzerland
- Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Andri Rauch
- Department of Infectious Diseases, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Roger D. Kouyos
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, Zurich, Switzerland
- Institute of Medical Virology, University of Zurich, Zurich, Switzerland
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29
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Comparing mutational pathways to lopinavir resistance in HIV-1 subtypes B versus C. PLoS Comput Biol 2021; 17:e1008363. [PMID: 34491984 PMCID: PMC8448360 DOI: 10.1371/journal.pcbi.1008363] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2020] [Revised: 09/17/2021] [Accepted: 08/09/2021] [Indexed: 11/19/2022] Open
Abstract
Although combination antiretroviral therapies seem to be effective at controlling HIV-1 infections regardless of the viral subtype, there is increasing evidence for subtype-specific drug resistance mutations. The order and rates at which resistance mutations accumulate in different subtypes also remain poorly understood. Most of this knowledge is derived from studies of subtype B genotypes, despite not being the most abundant subtype worldwide. Here, we present a methodology for the comparison of mutational networks in different HIV-1 subtypes, based on Hidden Conjunctive Bayesian Networks (H-CBN), a probabilistic model for inferring mutational networks from cross-sectional genotype data. We introduce a Monte Carlo sampling scheme for learning H-CBN models for a larger number of resistance mutations and develop a statistical test to assess differences in the inferred mutational networks between two groups. We apply this method to infer the temporal progression of mutations conferring resistance to the protease inhibitor lopinavir in a large cross-sectional cohort of HIV-1 subtype C genotypes from South Africa, as well as to a data set of subtype B genotypes obtained from the Stanford HIV Drug Resistance Database and the Swiss HIV Cohort Study. We find strong support for different initial mutational events in the protease, namely at residue 46 in subtype B and at residue 82 in subtype C. The inferred mutational networks for subtype B versus C are significantly different sharing only five constraints on the order of accumulating mutations with mutation at residue 54 as the parental event. The results also suggest that mutations can accumulate along various alternative paths within subtypes, as opposed to a unique total temporal ordering. Beyond HIV drug resistance, the statistical methodology is applicable more generally for the comparison of inferred mutational networks between any two groups. There is a disparity in the distribution of infections by HIV-1 subtype in the world. Subtype B is predominant in America, Australia and western and central Europe, and most therapeutic strategies are based on research and clinical studies on this subtype. However, non-B subtypes represent the majority of global HIV-1 infections; e.g., subtype C alone accounts for nearly half of all HIV-1 infections. We present a statistical framework enabling the comparison of patterns of accumulating mutations in different HIV-1 subtypes. Specifically, we compare the temporal ordering of lopinavir resistance mutations in HIV-1 subtypes B versus C. To this end, we combine the Hidden Conjunctive Bayesian Network (H-CBN) model with an approximate inference scheme enabling comparisons of larger networks. We show that the development of resistance to lopinavir differs significantly between subtypes B and C, such that findings based on subtype B sequences can not always be applied to sybtype C. The described methodology is suitable for comparing different subgroups in the context of other evolutionary processes.
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30
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Hachfeld A, Atkinson A, Calmy A, de Tejada BM, Hasse B, Paioni P, Kahlert CR, Boillat-Blanco N, Stoeckle M, Aebi-Popp K. Decrease of condom use in heterosexual couples and its impact on pregnancy rates: the Swiss HIV Cohort Study (SHCS). HIV Med 2021; 23:60-69. [PMID: 34476886 PMCID: PMC9290944 DOI: 10.1111/hiv.13152] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2021] [Accepted: 07/08/2021] [Indexed: 11/28/2022]
Abstract
Introduction Following the ‘Swiss statement’ in 2008 it became an option to omit the use of condoms in serodiscordant couples and to conceive naturally. We analysed its impact on condom use and pregnancy events. Methods In all, 3023 women (aged 18–49 years) participating in the Swiss HIV Cohort Study were included. Observation time was divided into pre‐ and post‐Swiss statement phases (July 2005–December 2008 and January 2009–December 2019). We used descriptive statistics, Poisson interrupted time series analysis for pregnancy incidence, and logistic regression to identify predictors of live births, spontaneous and induced abortions. Results Condomless sex in sexually active women increased from 25% in 2005 to 75% in 2019, while pregnancy incidence did not. Women after 2008 experienced higher spontaneous abortion rates (12.1% vs. 17.2%, p = 0.02) while induced abortion and live birth rates did not change significantly. Spontaneous abortions were more common in older women [adjusted odds ratio (aOR) = 1.4, 95% CI: 1.2–1.7, p < 0.001], in women consuming alcohol (aOR = 2.8, 95% CI: 1.9–4.1, p < 0.001) and in those with non‐suppressed viral load (aOR = 0.2, 95% CI: 0.1–0.4, p ≤ 0.001). Induced abortions were more likely in women with depression (aOR = 3.4, 95% CI: 1.8–6.3, p < 0.001) and non‐suppressed viral load (aOR = 0.3, 95% CI: 0.2–0.7, p = 0.003). Conclusions The publication of the Swiss statement resulted in more condomless sex in heterosexual women, but this did not result in a higher incidence of pregnancy. Maternal age and spontaneous abortion rates increased over time, while induced abortion rates were not significantly affected. Women living with HIV in Switzerland have an unmet need regarding family planning counselling.
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Affiliation(s)
- Anna Hachfeld
- Department of Infectious Diseases, Bern University Hospital and University of Bern, Bern, Switzerland
| | - Andrew Atkinson
- Department of Infectious Diseases, Bern University Hospital and University of Bern, Bern, Switzerland.,Paediatric Pharmacology and Pharmacometrics, University of Basel Children's Hospital, Basel, Switzerland
| | - Alexandra Calmy
- Department of Infectious Diseases, Geneva University Hospitals, HIV/AIDS Unit, Geneva, Switzerland
| | - Begoña Martinez de Tejada
- Obstetrics Division, Department of Pediatrics, Gynecology and Obstetrics, Faculty of Medicine, University Hospitals of Geneva, Geneva, Switzerland
| | - Barbara Hasse
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital and University of Zurich, Zurich, Switzerland
| | - Paolo Paioni
- Division of Infectious Diseases and Hospital Epidemiology, University Children's Hospital Zurich, Zurich, Switzerland
| | - Christian R Kahlert
- Children's Hospital of Eastern Switzerland and Cantonal Hospital, St. Gallen, Switzerland
| | | | - Marcel Stoeckle
- Department of Infectious Diseases, University Hospital Basel, Basel, Switzerland
| | - Karoline Aebi-Popp
- Department of Infectious Diseases, Bern University Hospital and University of Bern, Bern, Switzerland
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31
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Scherrer AU, Traytel A, Braun DL, Calmy A, Battegay M, Cavassini M, Furrer H, Schmid P, Bernasconi E, Stoeckle M, Kahlert C, Trkola A, Kouyos RD, Tarr P, Marzolini C, Wandeler G, Fellay J, Bucher H, Yerly S, Suter F, Hirsch H, Huber M, Dollenmaier G, Perreau M, Martinetti G, Rauch A, Günthard HF. Cohort Profile Update: The Swiss HIV Cohort Study (SHCS). Int J Epidemiol 2021; 51:33-34j. [PMID: 34363666 DOI: 10.1093/ije/dyab141] [Citation(s) in RCA: 56] [Impact Index Per Article: 18.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/30/2021] [Indexed: 11/13/2022] Open
Affiliation(s)
- Alexandra U Scherrer
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, Zurich, Switzerland.,Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Anna Traytel
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, Zurich, Switzerland.,Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Dominique L Braun
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, Zurich, Switzerland.,Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Alexandra Calmy
- Division of Infectious Diseases, University Hospital Geneva, University of Geneva, Geneva, Switzerland
| | - Manuel Battegay
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Matthias Cavassini
- Division of Infectious Diseases, University Hospital Lausanne, University of Lausanne, Lausanne, Switzerland
| | - Hansjakob Furrer
- Department of Infectious Diseases, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Patrick Schmid
- Division of Infectious Diseases, Cantonal Hospital St Gallen, St Gallen, Switzerland
| | - Enos Bernasconi
- Division of Infectious Diseases, Regional Hospital Lugano, Lugano, Switzerland
| | - Marcel Stoeckle
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Christian Kahlert
- Division of Infectious Diseases and Hospital Epidemiology, Cantonal Hospital St Gallen, St Gallen, Switzerland.,Division of Infectious Diseases and Hospital Epidemiology, Children's Hospital of Eastern Switzerland, St Gallen, Switzerland
| | - Alexandra Trkola
- Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Roger D Kouyos
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, Zurich, Switzerland.,Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Philip Tarr
- University Department of Medicine, Kantonsspital Bruderholz, University of Basel, Bruderholz, Switzerland
| | - Catia Marzolini
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Gilles Wandeler
- Department of Infectious Diseases, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Jacques Fellay
- Precision Medicine Unit, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Heiner Bucher
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Sabine Yerly
- Division of Infectious Diseases and Laboratory of Virology, University Hospital Geneva, University of Geneva, Geneva, Switzerland
| | - Franziska Suter
- Department of Infectious Diseases, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Hans Hirsch
- Department of Biomedicine, University of Basel, Basel, Switzerland
| | - Michael Huber
- Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | | | - Matthieu Perreau
- Division of Immunology and Allergy, Centre Hospitalier Universitaire Vaudois, University of Lausanne, Lausanne, Switzerland
| | - Gladys Martinetti
- Department of Microbiology, Ente Ospedaliero Cantonale, Bellinzona, Switzerland
| | - Andri Rauch
- Department of Infectious Diseases, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Huldrych F Günthard
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, Zurich, Switzerland.,Institute of Medical Virology, University of Zurich, Zurich, Switzerland
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32
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Nguyen H, Hampel B, Nuñez DG, Battegay M, Hachfeld A, Bernasconi E, Calmy A, Cavassini M, Vernazza P, Fellay J, Rudolph H, Huber M, Leuzinger K, Perreau M, Scherrer A, Ramette AN, Yerly S, Günthard HF, Kouyos RD, Kusejko K. Identifying and Characterizing Trans women in the Swiss HIV Cohort Study as an Epidemiologically Distinct Risk Group. Clin Infect Dis 2021; 74:1468-1475. [PMID: 34282827 DOI: 10.1093/cid/ciab628] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2021] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND As trans women are disproportionately affected by the HIV epidemic, and are still understudied, we aimed to identify and characterize the trans women in the Swiss HIV Cohort Study (SHCS). METHODS A combination of criteria from pre-existing cohort data was used to identify trans women. Information on socioeconomic factors, clinical data, risk behaviors, and mental health was collected. We also described their phylogenetic patterns within HIV transmission networks in relation to other risk groups. RESULTS We identified 89 trans women out of a total 20925 cohort participants. Trans women were much more likely to be Asian (30.3%) and Hispanic (15.7%) compared to men-who-have-sex with-men/MSM (2.5% and 4.1%, P value<0.001) and cis heterosexual (HET) women (7.0% and 3.3%, P value<0.001). Trans women were more similar to cis HET women in some measures like education level (post-secondary education attainment: 22.6% and 20.7% [P value =0.574], vs. 46.5% for MSM [P value<0.001]), while being more similar to MSM for measures like prior syphilis diagnosis (36.0% and 44.0% [P value=0.170], vs. 6.7% for cis HET women [P value <0.001]). 11.2% of trans women have been priorly hospitalized for psychological reasons, compared to 4.2% of MSM (P value=0.004) and 5.1% of cis HET women (P value=0.025). An analysis of transmission clusters containing trans women suggested greater affinity within the transmission networks to MSM compared to cis HET women. CONCLUSIONS Trans women are epidemiologically distinct in the setting of the Swiss HIV epidemic, warranting better identification and study to better serve this underserved risk group.
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Affiliation(s)
- Huyen Nguyen
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, Zurich, Switzerland.,Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Benjamin Hampel
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, Zurich, Switzerland.,Department of Public Health, Epidemiology, Biostatistics and Public Health Institute, University of Zurich, Zurich, Switzerland
| | | | - Manuel Battegay
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Anna Hachfeld
- Institute for Infectious Diseases, University of Bern, Bern, Switzerland
| | - Enos Bernasconi
- Division of Infectious Diseases, Regional Hospital Lugano, Lugano, Switzerland
| | - Alexandra Calmy
- Laboratory of Virology and Division of Infectious Diseases, Geneva University Hospital, University of Geneva, Geneva, Switzerland
| | - Matthias Cavassini
- Division of Infectious Diseases, Lausanne University Hospital, Lausanne, Switzerland
| | - Pietro Vernazza
- Division of Infectious Diseases, Cantonal Hospital St Gallen, St. Gallen, Switzerland
| | - Jacques Fellay
- School of Life Sciences, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
| | - Hannes Rudolph
- Transgender Network Switzerland, Checkpoint Zurich, Zurich, Switzerland
| | - Michael Huber
- Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Karoline Leuzinger
- Clinical Virology Division, Laboratory Medicine, University Hospital Basel, Basel, Switzerland
| | - Matthieu Perreau
- Department of Immunology and Allergy, University of Lausanne, Lausanne, Switzerland
| | - Alexandra Scherrer
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, Zurich, Switzerland
| | | | - Sabine Yerly
- Laboratory of Virology and Division of Infectious Diseases, Geneva University Hospital, University of Geneva, Geneva, Switzerland
| | - Huldrych F Günthard
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, Zurich, Switzerland.,Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Roger D Kouyos
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, Zurich, Switzerland.,Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Katharina Kusejko
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, Zurich, Switzerland.,Institute of Medical Virology, University of Zurich, Zurich, Switzerland
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33
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Duran Ramirez JJ, Ballouz T, Nguyen H, Kusejko K, Chaudron SE, Huber M, Hirsch HH, Perreau M, Ramette A, Yerly S, Cavassini M, Stöckle M, Furrer H, Vernazza P, Bernasconi E, Günthard HF, Kouyos RD. Increasing Frequency and Transmission of HIV-1 Non-B Subtypes among Men Who Have Sex with Men in the Swiss HIV Cohort Study. J Infect Dis 2021; 225:306-316. [PMID: 34260728 DOI: 10.1093/infdis/jiab360] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2021] [Accepted: 07/13/2021] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND In Switzerland, HIV-1 transmission among men who have sex with men (MSM) has been dominated by subtype B, whilst non-B subtypes are commonly attributed to infections acquired abroad among heterosexuals. Here, we evaluated the temporal trends of non-B subtypes and the characteristics of molecular transmission clusters (MTCs) among MSM. METHODS Sociodemographic and clinical data and partial pol sequences were obtained from participants enrolled in the Swiss HIV Cohort Study (SHCS). For non-B subtypes, maximum likelihood trees were constructed, from which Swiss MTCs were identified and analysed by transmission group. RESULTS Non-B subtypes were identified in 8.1% (416/5,116) of MSM participants. CRF01_AE was the most prevalent strain (3.5%), followed by A (1.2%), F (1.1%), CRF02_AG (1.1%), C (0.9%), and G (0.3%). Between 1990 and 2019, an increase in the proportion of newly diagnosed individuals (0/123[0%] to 11/32 [34%]) with non-B subtypes in MSM was found. Across all non-B subtypes, the majority of MSM MTCs were European. Larger MTCs were observed for MSM than heterosexuals. CONCLUSIONS We found a substantial increase in HIV-1 non-B subtypes among MSM in Switzerland and the occurrence of large MTCs, highlighting the importance of molecular surveillance in guiding public health strategies targeting the HIV-1 epidemic.
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Affiliation(s)
- Jessy J Duran Ramirez
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, 8091 Zurich, Switzerland.,Institute of Medical Virology, University of Zurich, 8057 Zurich, Switzerland
| | - Tala Ballouz
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, 8091 Zurich, Switzerland.,Institute of Medical Virology, University of Zurich, 8057 Zurich, Switzerland.,Epidemiology, Biostatistics and Prevention Institute, University of Zurich, 8001 Zurich, Switzerland
| | - Huyen Nguyen
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, 8091 Zurich, Switzerland.,Institute of Medical Virology, University of Zurich, 8057 Zurich, Switzerland
| | - Katharina Kusejko
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, 8091 Zurich, Switzerland.,Institute of Medical Virology, University of Zurich, 8057 Zurich, Switzerland
| | - Sandra E Chaudron
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, 8091 Zurich, Switzerland.,Institute of Medical Virology, University of Zurich, 8057 Zurich, Switzerland
| | - Michael Huber
- Institute of Medical Virology, University of Zurich, 8057 Zurich, Switzerland
| | - Hans H Hirsch
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Basel, University of Basel, 4031 Basel, Switzerland.,Transplantation and Clinical Virology, Department of Biomedicine, University of Basel, 4009 Basel, Switzerland
| | - Matthieu Perreau
- Division of Immunology and Allergy, Lausanne University Hospital, University of Lausanne, 1011 Lausanne, Switzerland
| | - Alban Ramette
- Institute for Infectious Diseases, University of Bern, 3001 Bern, Switzerland
| | - Sabine Yerly
- Laboratory of Virology and Division of Infectious Diseases, Geneva University Hospital, University of Geneva, 1205 Geneva, Switzerland
| | - Matthias Cavassini
- Division of Infectious Diseases, Lausanne University Hospital, 1011 Lausanne, Switzerland
| | - Marcel Stöckle
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Basel, University of Basel, 4031 Basel, Switzerland
| | - Hansjakob Furrer
- Department of Infectious Diseases, Bern University Hospital, University of Bern, 3010 Bern, Switzerland
| | - Pietro Vernazza
- Division of Infectious Diseases, Cantonal Hospital St. Gallen, 9007 St. Gallen, Switzerland
| | - Enos Bernasconi
- Division of Infectious Diseases, Regional Hospital Lugano, 6900 Lugano, Switzerland
| | - Huldrych F Günthard
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, 8091 Zurich, Switzerland.,Institute of Medical Virology, University of Zurich, 8057 Zurich, Switzerland
| | - Roger D Kouyos
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, 8091 Zurich, Switzerland.,Institute of Medical Virology, University of Zurich, 8057 Zurich, Switzerland
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Bachmann N, Kusejko K, Nguyen H, Chaudron SE, Kadelka C, Turk T, Böni J, Perreau M, Klimkait T, Yerly S, Battegay M, Rauch A, Ramette A, Vernazza P, Bernasconi E, Cavassini M, Günthard HF, Kouyos RD. Phylogenetic Cluster Analysis Identifies Virological and Behavioral Drivers of Human Immunodeficiency Virus Transmission in Men Who Have Sex With Men. Clin Infect Dis 2021; 72:2175-2183. [PMID: 32300807 DOI: 10.1093/cid/ciaa411] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2019] [Accepted: 04/16/2020] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND Identifying local outbreaks and their drivers is a key step toward curbing human immunodeficiency virus (HIV) transmission and potentially achieving HIV elimination. Such outbreaks can be identified as transmission clusters extracted from phylogenetic trees constructed of densely sampled viral sequences. In this study, we combined phylogenetic transmission clusters with extensive data on virological suppression and behavioral risk of cluster members to quantify the drivers of ongoing transmission over 10 years. METHODS Using the comprehensive Swiss HIV Cohort Study and its drug-resistance database, we reconstructed phylogenetic trees for each year between 2007 and 2017. We identified HIV transmission clusters dominated by men who have sex with men (MSM) and determined their annual growth. We used Poisson regression to assess if cluster growth was associated with a per-cluster infectivity and behavioral risk score. RESULTS Both infectivity and behavioral risk scores were significantly higher in growing MSM transmission clusters compared to nongrowing clusters (P ≤ .01). The fraction of transmission clusters without infectious members acquiring new infections increased significantly over the study period. The infectivity score was significantly associated with per-capita incidence of MSM transmission clusters in 8 years, while the behavioral risk score was significantly associated with per-capita incidence of MSM transmission clusters in 3 years. CONCLUSIONS We present a phylogenetic method to identify hotspots of ongoing transmission among MSM. Our results demonstrate the effectiveness of treatment as prevention at the population level. However, the significantly increasing number of new infections among transmission clusters without infectious members highlights a relative shift from diagnosed to undiagnosed individuals as drivers of HIV transmission in Swiss MSM.
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Affiliation(s)
- Nadine Bachmann
- Department of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, Zurich, Switzerland.,University of Zurich, Institute of Medical Virology, Zurich, Switzerland
| | - Katharina Kusejko
- Department of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, Zurich, Switzerland.,University of Zurich, Institute of Medical Virology, Zurich, Switzerland
| | - Huyen Nguyen
- Department of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, Zurich, Switzerland.,University of Zurich, Institute of Medical Virology, Zurich, Switzerland
| | - Sandra E Chaudron
- Department of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, Zurich, Switzerland.,University of Zurich, Institute of Medical Virology, Zurich, Switzerland
| | - Claus Kadelka
- Department of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, Zurich, Switzerland.,University of Zurich, Institute of Medical Virology, Zurich, Switzerland
| | - Teja Turk
- Department of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, Zurich, Switzerland.,University of Zurich, Institute of Medical Virology, Zurich, Switzerland
| | - Jürg Böni
- University of Zurich, Institute of Medical Virology, Zurich, Switzerland
| | - Matthieu Perreau
- Division of Immunology and Allergy, Centre Hospitalier Universitaire Vaudois, University of Lausanne, Lausanne, Switzerland
| | - Thomas Klimkait
- Molecular Virology, Department Biomedicine-Petersplatz, University of Basel, Basel, Switzerland
| | - Sabine Yerly
- Laboratory of Virology, Geneva University Hospital, Geneva, Switzerland
| | - Manuel Battegay
- Department of Infectious Diseases and Hospital Epidemiology, University Hospital Basel and University of Basel, Basel, Switzerland
| | - Andri Rauch
- Institute for Infectious Diseases, Bern University Hospital and University of Bern, Bern, Switzerland
| | - Alban Ramette
- Institute for Infectious Diseases, Bern University Hospital and University of Bern, Bern, Switzerland
| | - Pietro Vernazza
- Division of Infectious Diseases and Hospital Epidemiology, Cantonal Hospital of St Gallen, St Gallen, Switzerland
| | - Enos Bernasconi
- Division of Infectious Diseases, Regional Hospital Lugano, Lugano, Switzerland
| | - Matthias Cavassini
- Division of Infectious Diseases, Centre Hospitalier Universitaire Vaudois, University of Lausanne, Lausanne, Switzerland
| | - Huldrych F Günthard
- Department of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, Zurich, Switzerland.,University of Zurich, Institute of Medical Virology, Zurich, Switzerland
| | - Roger D Kouyos
- Department of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, Zurich, Switzerland.,University of Zurich, Institute of Medical Virology, Zurich, Switzerland
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Schoepf IC, Thorball CW, Ledergerber B, Engel T, Raffenberg M, Kootstra NA, Reiss P, Hasse B, Marzolini C, Thurnheer C, Seneghini M, Bernasconi E, Cavassini M, Buvelot H, Kouyos R, Günthard HF, Fellay J, Tarr PE. Coronary Artery Disease-associated and Longevity-associated Polygenic Risk Scores for Prediction of Coronary Artery Disease Events in Persons Living with HIV: The Swiss HIV Cohort Study. Clin Infect Dis 2021; 73:1597-1604. [PMID: 34091660 DOI: 10.1093/cid/ciab521] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2021] [Indexed: 01/11/2023] Open
Abstract
BACKGROUND Coronary artery disease (CAD) is in part genetically determined. Aging is accentuated in people with HIV (PLWH). It is unknown whether genetic CAD event prediction in PLWH is improved by applying individual polygenic risk scores (PRS) and by considering genetic variants associated with successful aging and longevity. METHODS In Swiss HIV Cohort Study participants of self-reported European descent, we determined univariable and multivariable odds ratios (OR) for CAD events, based on traditional CAD risk factors, adverse antiretroviral exposures, and different validated genome-wide PRS. PRS were built from CAD-associated single nucleotide polymorphisms (SNPs), longevity-associated SNPs, or both. RESULTS We included 269 cases with CAD events between 2000-2017 (Median age 54 years, 87% male, 82% with suppressed HIV RNA) and 567 event-free controls. Clinical (i.e. traditional and HIV-related) risk factors, and PRS built from CAD-associated SNPs, longevity-associated SNPs, or both, each contributed independently to CAD events (p<0.001). Participants with the most unfavorable clinical risk factor profile (top quintile) had adjusted CAD-OR=17.82 (8.19-38.76), compared to participants in the bottom quintile. Participants with the most unfavorable CAD-PRS (top quintile) had adjusted CAD-OR=3.17 (1.74-5.79), compared to the bottom quintile. After adding longevity-associated SNPs to the CAD-PRS, participants with the most unfavorable genetic background (top quintile) had adjusted CAD-OR=3.67 (2.00-6.73), compared to the bottom quintile. CONCLUSIONS In Swiss PLWH, CAD prediction based on traditional and HIV-related risk factors was superior to genetic CAD prediction based on longevity- and CAD-associated PRS. Combining traditional, HIV-related and genetic risk factors provided the most powerful CAD prediction.
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Affiliation(s)
- Isabella C Schoepf
- University Department of Medicine and Infectious Diseases Service, Kantonsspital Baselland, University of Basel, Bruderholz, Switzerland
| | - Christian W Thorball
- Precision Medicine Unit, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.,School of Life Sciences, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
| | - Bruno Ledergerber
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Tanja Engel
- University Department of Medicine and Infectious Diseases Service, Kantonsspital Baselland, University of Basel, Bruderholz, Switzerland
| | - Marieke Raffenberg
- University Department of Medicine and Infectious Diseases Service, Kantonsspital Baselland, University of Basel, Bruderholz, Switzerland
| | - Neeltje A Kootstra
- Department of Experimental Immunology, Amsterdam University Medical Centers, University of Amsterdam, Netherlands
| | - Peter Reiss
- Department of Global Health an Division of Infectious Disease, Amsterdam University Medical Centers, University of Amsterdam, and Amsterdam Institute for Global Health and Development, Amsterdam, The Netherlands
| | - Barbara Hasse
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Catia Marzolini
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Basel, Basel, Switzerland
| | - Christine Thurnheer
- Department of Infectious Diseases, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Marco Seneghini
- Division of Infectious Diseases, Kantonsspital St Gallen, Switzerland
| | - Enos Bernasconi
- Division of Infectious Diseases, Ospedale Regionale Lugano, University of Geneva and Università della Svizzera italiana, Lugano, Switzerland
| | - Matthias Cavassini
- Infectious Diseases Service, Lausanne University Hospital, University of Lausanne, Lausanne, Switzerland
| | - Hélène Buvelot
- Division of Infectious Disease, Geneva University Hospital, Geneva, Switzerland
| | - Roger Kouyos
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.,Institute of Medical Virology, University of Zurich, Zurich, Zurich, Switzerland
| | - Huldrych F Günthard
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.,Institute of Medical Virology, University of Zurich, Zurich, Zurich, Switzerland
| | - Jacques Fellay
- Precision Medicine Unit, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.,School of Life Sciences, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
| | - Philip E Tarr
- University Department of Medicine and Infectious Diseases Service, Kantonsspital Baselland, University of Basel, Bruderholz, Switzerland
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Surial B, Mugglin C, Calmy A, Cavassini M, Günthard HF, Stöckle M, Bernasconi E, Schmid P, Tarr PE, Furrer H, Ledergerber B, Wandeler G, Rauch A. Weight and Metabolic Changes After Switching From Tenofovir Disoproxil Fumarate to Tenofovir Alafenamide in People Living With HIV : A Cohort Study. Ann Intern Med 2021; 174:758-767. [PMID: 33721521 DOI: 10.7326/m20-4853] [Citation(s) in RCA: 73] [Impact Index Per Article: 24.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
BACKGROUND Tenofovir-based antiretroviral therapy (ART) has become first-line in all major HIV treatment guidelines. Compared with tenofovir disoproxil fumarate (TDF), tenofovir alafenamide (TAF) has a favorable renal and bone safety profile, but concerns about metabolic complications remain. OBJECTIVE To assess weight changes, the development of overweight/obesity, and changes in lipid levels 18 months after replacing TDF with TAF. DESIGN Cohort study. SETTING 5 university hospitals, affiliated hospitals, and private physicians in Switzerland. PARTICIPANTS 4375 adults living with HIV who received TDF-containing ART for 6 months or longer. MEASUREMENTS Changes in weight and lipid levels were assessed using mixed-effect models. Differences in proportions of newly overweight/obese participants were calculated using 2-proportions Z tests. RESULTS 4375 individuals were included, with follow-up between 1 January 2016 and 31 July 2019. Median age was 50 years (interquartile range, 43 to 56 years), 25.9% were female, and 51.7% had a normal body mass index (BMI); 3484 (79.6%) switched to TAF and 891 (20.4%) continued TDF. After 18 months, switching to TAF was associated with an adjusted mean weight increase of 1.7 kg (95% CI, 1.5 to 2.0 kg), compared with 0.7 kg (CI, 0.4 to 1.0 kg) with the continued use of TDF (between-group difference, 1.1 kg [CI, 0.7 to 1.4 kg]). Among individuals with a normal BMI, 13.8% who switched to TAF became overweight/obese, compared with 8.4% of those continuing TDF (difference, 5.4 percentage points [CI, 2.1 to 8.8 percentage points]). Switching to TAF led to increases in adjusted mean total cholesterol (0.25 mmol/L [9.5 mg/dL]), high-density lipoprotein cholesterol (0.05 mmol/L [1.9 mg/dL]), low-density lipoprotein cholesterol (0.12 mmol/L [4.7 mg/dL]), and triglyceride (0.18 mmol/L [16.1 mg/dL]) levels after 18 months. LIMITATION Short follow-up, small subgroup analyses, and potential residual confounding. CONCLUSION Replacing TDF with TAF is associated with adverse metabolic changes, including weight increase, development of obesity, and worsening serum lipid levels. PRIMARY FUNDING SOURCE Swiss National Science Foundation.
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Affiliation(s)
- Bernard Surial
- Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland (B.S., C.M., H.F., G.W., A.R.)
| | - Catrina Mugglin
- Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland (B.S., C.M., H.F., G.W., A.R.)
| | - Alexandra Calmy
- Geneva University Hospital, University of Geneva, Geneva, Switzerland (A.C.)
| | - Matthias Cavassini
- University Hospital of Lausanne, University of Lausanne, Lausanne, Switzerland (M.C.)
| | - Huldrych F Günthard
- University Hospital Zurich, University of Zurich, Zurich, Switzerland (H.F.G., B.L.)
| | - Marcel Stöckle
- University Hospital Basel, University of Basel, Basel, Switzerland (M.S.)
| | - Enos Bernasconi
- Regional Hospital of Lugano, University of Geneva, and University of Southern Switzerland, Lugano, Switzerland (E.B.)
| | - Patrick Schmid
- Cantonal Hospital of St. Gallen, St. Gallen, Switzerland (P.S.)
| | - Philip E Tarr
- and Kantonsspital Baselland, University of Basel, Basel, Switzerland (P.E.T.)
| | - Hansjakob Furrer
- Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland (B.S., C.M., H.F., G.W., A.R.)
| | - Bruno Ledergerber
- University Hospital Zurich, University of Zurich, Zurich, Switzerland (H.F.G., B.L.)
| | - Gilles Wandeler
- Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland (B.S., C.M., H.F., G.W., A.R.)
| | - Andri Rauch
- Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland (B.S., C.M., H.F., G.W., A.R.)
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37
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Nguyen H, Thorball CW, Fellay J, Böni J, Yerly S, Perreau M, Hirsch HH, Kusejko K, Thurnheer MC, Battegay M, Cavassini M, Kahlert CR, Bernasconi E, Günthard HF, Kouyos RD. Systematic screening of viral and human genetic variation identifies antiretroviral resistance and immune escape link. eLife 2021; 10:e67388. [PMID: 34061023 PMCID: PMC8169104 DOI: 10.7554/elife.67388] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2021] [Accepted: 05/18/2021] [Indexed: 11/26/2022] Open
Abstract
Background Considering the remaining threat of drug-resistantmutations (DRMs) to antiretroviral treatment (ART) efficacy, we investigated how the selective pressure of human leukocyte antigen (HLA)-restricted cytotoxic T lymphocytes drives certain DRMs' emergence and retention. Methods We systematically screened DRM:HLA class I allele combinations in 3997 ART-naïve Swiss HIV Cohort Study (SHCS) patients. For each pair, a logistic regression model preliminarily tested for an association with the DRM as the outcome. The three HLA:DRM pairs remaining after multiple testing adjustment were analyzed in three ways: cross-sectional logistic regression models to determine any HLA/infection time interaction, survival analyses to examine if HLA type correlated with developing specific DRMs, and via NetMHCpan to find epitope binding evidence of immune escape. Results Only one pair, RT-E138:HLA-B18, exhibited a significant interaction between infection duration and HLA. The survival analyses predicted two pairs with an increased hazard of developing DRMs: RT-E138:HLA-B18 and RT-V179:HLA-B35. RT-E138:HLA-B18 exhibited the greatest significance in both analyses (interaction term odds ratio [OR] 1.169 [95% confidence interval (CI) 1.075-1.273]; p-value<0.001; survival hazard ratio 12.211 [95% CI 3.523-42.318]; p-value<0.001). The same two pairs were also predicted by netMHCpan to have epitopic binding. Conclusions We identified DRM:HLA pairs where HLA presence is associated with the presence or emergence of the DRM, indicating that the selective pressure for these mutations alternates direction depending on the presence of these HLA alleles. Funding Funded by the Swiss National Science Foundation within the framework of the SHCS, and the University of Zurich, University Research Priority Program: Evolution in Action: From Genomes Ecosystems, in Switzerland.
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Affiliation(s)
- Huyen Nguyen
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of ZurichZurichSwitzerland
- Institute of Medical Virology, Swiss National Center for Retroviruses, University of ZurichZurichSwitzerland
| | - Christian Wandell Thorball
- School of Life Sciences, École PolytechniqueFédérale de LausanneSwitzerland
- Precision Medicine Unit, Lausanne University Hospital and University of LausanneLausanneSwitzerland
| | - Jacques Fellay
- School of Life Sciences, École PolytechniqueFédérale de LausanneSwitzerland
- Precision Medicine Unit, Lausanne University Hospital and University of LausanneLausanneSwitzerland
| | - Jürg Böni
- Institute of Medical Virology, Swiss National Center for Retroviruses, University of ZurichZurichSwitzerland
| | - Sabine Yerly
- Laboratory of Virology, Geneva University Hospital, University of GenevaGenevaSwitzerland
| | - Matthieu Perreau
- Division of Immunology and Allergy, University Hospital Lausanne, University of LausanneLausanneSwitzerland
| | - Hans H Hirsch
- Transplantation & Clinical Virology, Department of Biomedicine, University of BaselBaselSwitzerland
- Infectious Diseases and Hospital Epidemiology, Department of Medicine, University Hospital BaselBaselSwitzerland
- Clinical Virology, Laboratory Medicine, University Hospital BaselBaselSwitzerland
| | - Katharina Kusejko
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of ZurichZurichSwitzerland
- Institute of Medical Virology, Swiss National Center for Retroviruses, University of ZurichZurichSwitzerland
| | - Maria Christine Thurnheer
- University Clinic of Infectious Diseases, University Hospital of Bern, University of BernBernSwitzerland
| | - Manuel Battegay
- Infectious Diseases and Hospital Epidemiology, Department of Medicine, University Hospital BaselBaselSwitzerland
| | - Matthias Cavassini
- Department of Infectious Diseases, Centre Hospitalier Universitaire Vaudois, University of LausanneLausanneSwitzerland
| | - Christian R Kahlert
- Division of Infectious Diseases and Hospital Epidemiology, Kantonsspital St. GallenSt. GallenSwitzerland
| | - Enos Bernasconi
- Division of Infectious Diseases, Regional HospitalLuganoSwitzerland
| | - Huldrych F Günthard
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of ZurichZurichSwitzerland
- Institute of Medical Virology, Swiss National Center for Retroviruses, University of ZurichZurichSwitzerland
| | - Roger D Kouyos
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of ZurichZurichSwitzerland
- Institute of Medical Virology, Swiss National Center for Retroviruses, University of ZurichZurichSwitzerland
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38
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Glass TR, Günthard HF, Calmy A, Bernasconi E, Scherrer AU, Battegay M, Steffen A, Böni J, Yerly S, Klimkait T, Cavassini M, Furrer H. The Role of Human Immunodeficiency Virus (HIV) Asymptomatic Status When Starting Antiretroviral Therapy on Adherence and Treatment Outcomes and Implications for Test and Treat: The Swiss HIV Cohort Study. Clin Infect Dis 2021; 72:1413-1421. [PMID: 32157270 DOI: 10.1093/cid/ciaa239] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2019] [Accepted: 03/09/2020] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Since the advent of universal test-and-treat , more people living with human immunodeficiency virus (PLHIV) initiating antiretroviral therapy (ART) are asymptomatic with a preserved immune system. We explored the impact of asymptomatic status on adherence and clinical outcomes. METHODS PLHIV registered in the Swiss HIV Cohort Study (SHCS) between 2003 and 2018 were included. We defined asymptomatic as Centers for Disease Control and Prevention stage A within 30 days of starting ART, non-adherence as any self-reported missed doses and viral failure as two consecutive viral load>50 copies/mL after >24 weeks on ART. Using logistic regression models, we measured variables associated with asymptomatic status and adherence and Cox proportional hazard models to assess association between symptom status and viral failure. RESULTS Of 7131 PLHIV, 76% started ART when asymptomatic and 1478 (22%) experienced viral failure after a median of 1.9 years (interquartile range, 1.1-4.2). In multivariable models, asymptomatic PLHIV were more likely to be younger, men who have sex with men, better educated, have unprotected sex, have a HIV-positive partner, have a lower viral load, and have started ART more recently. Asymptomatic status was not associated with nonadherence (odds ratio, 1.03 [95% confidence interval {CI}, .93-1.15]). Asymptomatic PLHIV were at a decreased risk of viral failure (adjusted hazard ratio, 0.87 [95% CI, .76-1.00]) and less likely to develop resistance (14% vs 27%, P < .001) than symptomatic PLHIV. CONCLUSIONS Despite concerns regarding lack of readiness, our study found no evidence of adherence issues or worse clinical outcomes in asymptomatic PLHIV starting ART.
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Affiliation(s)
- Tracy R Glass
- Department of Medicine, Swiss Tropical and Public Health Institute, Basel, Switzerland.,University of Basel, Basel, Switzerland
| | - Huldrych F Günthard
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, Zurich, Switzerland.,Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Alexandra Calmy
- Division of Infectious Diseases, University Hospital Geneva, Geneva, Switzerland
| | - Enos Bernasconi
- Division of Infectious Diseases, Regional Hospital Lugano, Lugano, Switzerland
| | | | - Manuel Battegay
- University of Basel, Basel, Switzerland.,Division of Infectious Diseases, University Hospital Basel, Basel, Switzerland
| | - Ana Steffen
- Division of Infectious Diseases, Kantonsspital St Gallen, St Gallen, Switzerland
| | - Jürg Böni
- Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Sabine Yerly
- Laboratory of Virology, Division of Infectious Diseases, Geneva University Hospitals, Geneva, Switzerland
| | - Thomas Klimkait
- Department of Biomedicine, University of Basel, Basel, Switzerland
| | - Matthias Cavassini
- Division of Infectious Diseases, University Hospital Lausanne, Lausanne, Switzerland
| | - Hansjakob Furrer
- Department of Infectious Diseases, Bern University Hospital, University of Bern, Bern, Switzerland
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McNulty M, Schmitt J, Friedman E, Hunt B, Tobin A, Maheswaran AB, Lin J, Novak R, Sha B, Rolfsen N, Moswin A, Rose B, Pitrak D, Glick N. Implementing Rapid Initiation of Antiretroviral Therapy for Acute HIV Infection Within a Routine Testing and Linkage to Care Program in Chicago. J Int Assoc Provid AIDS Care 2021; 19:2325958220939754. [PMID: 32734805 PMCID: PMC7401059 DOI: 10.1177/2325958220939754] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022] Open
Abstract
Growing evidence suggests that rapid initiation of antiretroviral therapy for HIV improves care continuum outcomes. We evaluated process and clinical outcomes for rapid initiation in acute HIV infection within a multisite health care–based HIV testing and linkage to care program in Chicago. Through retrospective analysis of HIV testing data (2016-2017), we assessed linkage to care, initiation of antiretroviral therapy, and viral suppression. Of 334 new HIV diagnoses, 33 (9.9%) individuals had acute HIV infection. Median time to linkage was 11 (interquartile range [IQR]: 5-19.5) days, with 15 days (IQR 5-27) to initiation of antiretroviral therapy. Clients achieved viral suppression at a median of 131 (IQR: 54-188) days. Of all, 69.7% were retained in care, all of whom were virally suppressed. Sites required few additional resources to incorporate rapid initiation into existing processes. Integration of rapid initiation of antiretroviral therapy into existing HIV screening programs is a promising strategy for scaling up this important intervention.
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Affiliation(s)
- Moira McNulty
- Section of Infectious Diseases and Global Health, University of Chicago, IL, USA
| | - Jessica Schmitt
- Section of Infectious Diseases and Global Health, University of Chicago, IL, USA
| | - Eleanor Friedman
- Section of Infectious Diseases and Global Health, University of Chicago, IL, USA
| | - Bijou Hunt
- Sinai Infectious Disease Center, Sinai Health System, Chicago, IL, USA
| | - Audra Tobin
- Sinai Infectious Disease Center, Sinai Health System, Chicago, IL, USA
| | | | - Janet Lin
- University of Illinois Hospital and Health Sciences and Systems, Chicago, IL, USA
| | - Richard Novak
- University of Illinois Hospital and Health Sciences and Systems, Chicago, IL, USA
| | - Beverly Sha
- Division of Infectious Diseases, Rush University Medical Center, Chicago, IL, USA
| | | | - Arthur Moswin
- Mercy Hospital and Medical Center, Chicago, IL, USA.,Michael Reese Research and Education Foundation, Chicago, IL, USA
| | | | - David Pitrak
- Section of Infectious Diseases and Global Health, University of Chicago, IL, USA
| | - Nancy Glick
- Sinai Infectious Disease Center, Sinai Health System, Chicago, IL, USA
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40
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Kok YL, Vongrad V, Chaudron SE, Shilaih M, Leemann C, Neumann K, Kusejko K, Di Giallonardo F, Kuster H, Braun DL, Kouyos RD, Günthard HF, Metzner KJ. HIV-1 integration sites in CD4+ T cells during primary, chronic, and late presentation of HIV-1 infection. JCI Insight 2021; 6:143940. [PMID: 33784259 PMCID: PMC8262285 DOI: 10.1172/jci.insight.143940] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2020] [Accepted: 03/25/2021] [Indexed: 12/29/2022] Open
Abstract
HIV-1 is capable of integrating its genome into that of its host cell. We examined the influence of the activation state of CD4+ T cells, the effect of antiretroviral therapy (ART), and the clinical stage of HIV-1 infection on HIV-1 integration site features and selection. HIV-1 integration sites were sequenced from longitudinally sampled resting and activated CD4+ T cells from 12 HIV-1–infected individuals. In total, 589 unique HIV-1 integration sites were analyzed: 147, 391, and 51 during primary, chronic, and late presentation of HIV-1 infection, respectively. As early as during primary HIV-1 infection and independent of the activation state of CD4+ T cells collected on and off ART, HIV-1 integration sites were preferentially detected in recurrent integration genes, genes associated with clonal expansion of latently HIV-1–infected CD4+ T cells, cancer-related genes, and highly expressed genes. The preference for cancer-related genes was more pronounced at late stages of HIV-1 infection. Host genomic features of HIV-1 integration site selection remained stable during HIV-1 infection in both resting and activated CD4+ T cells. In summary, characteristic HIV-1 integration site features are preestablished as early as during primary HIV-1 infection and are found in both resting and activated CD4+ T cells.
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Affiliation(s)
- Yik Lim Kok
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, and.,Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Valentina Vongrad
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, and.,Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Sandra E Chaudron
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, and.,Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Mohaned Shilaih
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, and.,Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Christine Leemann
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, and.,Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Kathrin Neumann
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, and.,Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Katharina Kusejko
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, and.,Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Francesca Di Giallonardo
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, and.,Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Herbert Kuster
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, and.,Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Dominique L Braun
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, and.,Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Roger D Kouyos
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, and.,Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Huldrych F Günthard
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, and.,Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Karin J Metzner
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, and.,Institute of Medical Virology, University of Zurich, Zurich, Switzerland
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41
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Kusejko K, Salazar-Vizcaya L, Braun DL, Tarr PE, Bernasconi E, Doco-Lecompte T, Cavassini M, Schmid P, Du Pasquier R, Hauser C, Günthard HF, Kouyos RD. Self-reported Neurocognitive Impairment in People Living With Human Immunodeficiency Virus (HIV): Characterizing Clusters of Patients With Similar Changes in Self-reported Neurocognitive Impairment, 2013-2017, in the Swiss HIV Cohort Study. Clin Infect Dis 2021; 71:637-644. [PMID: 31504323 DOI: 10.1093/cid/ciz868] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2019] [Accepted: 09/01/2019] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND Self-reported neurocognitive impairment (SRNI) in people living with human immunodeficiency virus type 1 (HIV-1) infection is frequent. We use longitudinal information on SRNI in the Swiss HIV Cohort Study (SHCS) to identify and characterize groups of patients with persisting SRNI over time. METHODS We included all SHCS patients who were assessed for SRNI during at least 5 visits spanning at least 2.5 years in 2013-2017. We first compared patients with SRNI to those without SRNI over the whole study period. Second, we used a hierarchical cluster algorithm to identify groups of patients with similar changes of SRNI over time. In both analyses, we studied clinical and demographic factors potentially influencing SRNI. RESULTS In total, 79 683 questionnaires of 11 029 patients contained information about SRNI, and 8545 of 11 029 (77.5%) patients had longitudinal information. The overall percentage of patients with SRNI decreased from 19.6% in 2013 to 10.7% in 2017. Compared to patients in the cluster with low-level SRNI over time, patients in the cluster with high-level persisting SRNI more often had a prior opportunistic infection of the central nervous system (CNS) (odds ratio [OR], 3.7; P < .001), imperfect adherence to antiretroviral therapy (ART) (OR, 2.8; P < .001), and depression (OR, 1.9; P < .001). CONCLUSIONS Although overall SRNI is decreasing in the SHCS, there is a group of patients with persisting SRNI over time. Past opportunistic infections of the CNS, imperfect adherence to ART, and depression were associated most with persisting SRNI. Patients with these characteristics should be preferentially tested for neurocognitive impairment.Although overall self-reported neurocognitive impairment (SRNI) is decreasing in the Swiss HIV Cohort Study, there is a group of patients with persisting SRNI over time, characterized by more past opportunistic infections of the central nervous system, imperfect adherence to antiretroviral therapy, and depression.
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Affiliation(s)
- Katharina Kusejko
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, Zurich, Switzerland.,Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Luisa Salazar-Vizcaya
- Clinic for Infectious Diseases, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Dominique L Braun
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, Zurich, Switzerland.,Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Philip E Tarr
- University Department of Medicine, Kantonsspital Baselland, University of Basel, Basel, Switzerland
| | - Enos Bernasconi
- Division of Infectious Diseases, Regional Hospital Lugano, Lugano, Switzerland
| | - Thanh Doco-Lecompte
- Department of Infectious Diseases, HIV Unit, Geneva University Hospital, University of Geneva, Geneva, Switzerland
| | - Matthias Cavassini
- Division of Infectious Diseases, Lausanne University Hospital, Lausanne, Switzerland
| | - Patrick Schmid
- Division of Infectious Diseases, Cantonal Hospital St Gallen, St. Gallen, Switzerland
| | - Renaud Du Pasquier
- Department of Clinical Neurosciences, Service of Neurology, Neuroimmunology Unit, Lausanne University Hospital, University of Lausanne, Lausanne, Switzerland
| | - Christoph Hauser
- Clinic for Infectious Diseases, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Huldrych F Günthard
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, Zurich, Switzerland.,Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Roger D Kouyos
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, Zurich, Switzerland.,Institute of Medical Virology, University of Zurich, Zurich, Switzerland
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Kovari H, Surial B, Tarr PE, Cavassini M, Calmy A, Schmid P, Bernasconi E, Rauch A, Wandeler G, Ledergerber B. Changes in alanine aminotransferase levels after switching from tenofovir disoproxil fumarate (TDF) to tenofovir alafenamide (TAF) in HIV-positive people without viral hepatitis in the Swiss HIV Cohort Study. HIV Med 2021; 22:623-628. [PMID: 33880839 DOI: 10.1111/hiv.13106] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/10/2021] [Indexed: 11/30/2022]
Abstract
OBJECTIVES We previously demonstrated an association between tenofovir disoproxil fumarate (TDF) and chronic liver enzyme elevation in the D:A:D study. The objective of the study was to assess changes in alanine aminotransferase (ALT) levels after switching from TDF to tenofovir alafenamide (TAF). METHODS We included Swiss HIV Cohort Study participants who switched from TDF to TAF with two or more ALT values in the 24 months before and two or more values in the 24 months after replacing TDF with TAF. Individuals with replicating viral hepatitis were excluded. Uni- and multivariable linear mixed models were used to explore changes in ALT values associated with switching from TDF to TAF, and to assess potential modifying effects. RESULTS A total of 1712 participants were included, contributing 6169 ALT values before and 5482 after switching. Median (interquartile range, IQR) age was 50 (42-57) years, and 75% were male. Median (IQR) ALT was 28 (22-38) U/L before and 24 (19-32) U/L after replacing TDF with TAF. ALT values decreased by 3.7 U/L (95% confidence interval: 3.2-4.2) after the switch. The median drop was larger in patients with chronic ALT elevation (defined as two or more elevated values for ≥ 6 months) compared with patients with normal ALT values (17.8 vs. 3.3 U/L, P < 0.001). We did not identify any major effect modifications of the ALT change with any of the potential variables studied. CONCLUSIONS Replacing TDF with TAF in HIV-monoinfected people led to a significant decrease in ALT values. Findings were not significantly affected by known risk factors for hepatotoxicity.
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Affiliation(s)
- H Kovari
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital, University of Zurich, Zurich, Switzerland
| | - B Surial
- Department of Infectious Diseases, Bern University Hospital, University of Berne, Berne, Switzerland
| | - P E Tarr
- Department of Medicine and Division of Infectious Diseases and Hospital Epidemiology, Kantonsspital Baselland, University of Basel, Bruderholz, Switzerland
| | - M Cavassini
- Division of Infectious Diseases, University Hospital, Lausanne, Switzerland
| | - A Calmy
- Division of Infectious Diseases, University Hospital Geneva, University of Geneva, Geneva, Switzerland
| | - P Schmid
- Division of Infectious Diseases, Cantonal Hospital, St Gall, Switzerland
| | - E Bernasconi
- Division of Infectious Diseases, Ospedale Regionale, Lugano, Switzerland
| | - A Rauch
- Department of Infectious Diseases, Bern University Hospital, University of Berne, Berne, Switzerland
| | - G Wandeler
- Department of Infectious Diseases, Bern University Hospital, University of Berne, Berne, Switzerland
| | - B Ledergerber
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital, University of Zurich, Zurich, Switzerland
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43
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Immunophenotypic characterization of TCR γδ T cells and MAIT cells in HIV-infected individuals developing Hodgkin's lymphoma. Infect Agent Cancer 2021; 16:24. [PMID: 33865435 PMCID: PMC8052713 DOI: 10.1186/s13027-021-00365-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2020] [Accepted: 04/08/2021] [Indexed: 12/12/2022] Open
Abstract
Background Despite successful combined antiretroviral therapy (cART), the risk of non-AIDS defining cancers (NADCs) remains higher for HIV-infected individuals than the general population. The reason for this increase is highly disputed. Here, we hypothesized that T-cell receptor (TCR) γδ cells and/or mucosal-associated invariant T (MAIT) cells might be associated with the increased risk of NADCs. γδ T cells and MAIT cells both serve as a link between the adaptive and the innate immune system, and also to exert direct anti-viral and anti-tumor activity. Methods We performed a longitudinal phenotypic characterization of TCR γδ cells and MAIT cells in HIV-infected individuals developing Hodgkin’s lymphoma (HL), the most common type of NADCs. Cryopreserved PBMCs of HIV-infected individuals developing HL, matched HIV-infected controls without (w/o) HL and healthy controls were used for immunophenotyping by polychromatic flow cytometry, including markers for activation, exhaustion and chemokine receptors. Results We identified significant differences in the CD4+ T cell count between HIV-infected individuals developing HL and HIV-infected matched controls within 1 year before cancer diagnosis. We observed substantial differences in the cellular phenotype mainly between healthy controls and HIV infection irrespective of HL. A number of markers tended to be different in Vδ1 and MAIT cells in HIV+HL+ patients vs. HIV+ w/o HL patients; notably, we observed significant differences for the expression of CCR5, CCR6 and CD16 between these two groups of HIV+ patients. Conclusion TCR Vδ1 and MAIT cells in HIV-infected individuals developing HL show subtle phenotypical differences as compared to the ones in HIV-infected controls, which may go along with functional impairment and thereby may be less efficient in detecting and eliminating malignant cells. Further, our results support the potential of longitudinal CD4+ T cell count analysis for the identification of patients at higher risk to develop HL. Supplementary Information The online version contains supplementary material available at 10.1186/s13027-021-00365-4.
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Künzler-Heule P, Fierz K, Schmidt AJ, Rasi M, Bogdanovic J, Kocher A, Engberg S, Battegay M, Nöstlinger C, Lehner A, Kouyos R, Schmid P, Braun DL, Fehr J, Nicca D. Response to a sexual risk reduction intervention provided in combination with hepatitis C treatment by HIV/HCV co-infected men who have sex with men: a reflexive thematic analysis. BMC Infect Dis 2021; 21:319. [PMID: 33823783 PMCID: PMC8022541 DOI: 10.1186/s12879-021-06003-z] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2020] [Accepted: 03/16/2021] [Indexed: 12/18/2022] Open
Abstract
BACKGROUND Hepatitis C virus reinfections in HIV-positive men-who-have-sex-with-men (MSM) challenge the effectiveness of antiviral treatment. To fight this problem, an adapted sexual risk reduction intervention was implemented within a hepatitis C treatment trial. Following this, the current study had two aims and describes 1) how the program was received by participants; and 2) their responses to the program regarding sexual risk taking. Based on the participants' input, we hoped to judge the intervention's potential for scale-up. METHODS Seventeen participants who received the sexual risk reduction intervention in addition to hepatitis C treatment were recruited for semi-structured interviews six to 12 months post-intervention. We evaluated the responses via reflexive thematic analysis and applied the concept of sense-making. RESULTS Giving hepatitis C a place and living without it again illustrates how participants received the program and how their experiences were altered by the impact of sense-making. Based on their responses, we allocated participants to three groups: 1. Avoid risks: get rid of hepatitis C for life. For these men, hepatitis C remained a life-threatening disease: they actively modified their risk behavior and felt supported by the intervention in maintaining their behavioral changes. 2. Minimize risks: live as long as possible without hepatitis C. In contrast to group 1, these men saw hepatitis C as a manageable disease. The intervention facilitated reflection on risks and how to develop behavioral changes that suited them individually. 3. Accept risks; live with the risk of hepatitis C. These men perceived behavioral changes as much more difficult than "easy" medical treatment. They expected to either undergo repeated rounds of treatment or stay HCV re-infected. CONCLUSION These results illustrate the diversity of men's responses and their decisions regarding sexual risk behavior after participating in a combination of antiviral treatment and a sexual risk reduction intervention. Two major aspects were identified: 1) Teachable moments, particularly at the time of diagnosis/treatment, could offer an opportunity to develop openness for behavioral change; 2) adapting sexual risk reduction interventions to sense-making patterns could help to improve its effectiveness. Support for reducing infection risk and raising awareness of preventative measures are additional benefits. TRIAL REGISTRATION Clinical Trial Number: NCT02785666 , 30.05.2016.
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Affiliation(s)
- Patrizia Künzler-Heule
- Nursing Science, Department Public Health, Medical Faculty, University of Basel, Basel, Switzerland.,Department of Gastroenterology/Hepatology and Department of Nursing, Cantonal Hospital St. Gallen, St. Gallen, Switzerland
| | - Katharina Fierz
- Zurich University of Applied Sciences (ZUAS), Winterthur, Switzerland
| | - Axel Jeremias Schmidt
- Division of Infectious Diseases, Cantonal Hospital St. Gallen, St. Gallen, Switzerland.,Sigma Research, London School of Hygiene and Tropical Medicine, London, UK
| | - Manuela Rasi
- Department of Public & Global Health, Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Zurich, Switzerland
| | - Jasmina Bogdanovic
- Nursing Science, Department Public Health, Medical Faculty, University of Basel, Basel, Switzerland
| | - Agnes Kocher
- Nursing Science, Department Public Health, Medical Faculty, University of Basel, Basel, Switzerland
| | - Sandra Engberg
- Nursing Science, Department Public Health, Medical Faculty, University of Basel, Basel, Switzerland.,School of Nursing, University of Pittsburgh, Pittsburgh, USA
| | - Manuel Battegay
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Basel, Basel, Switzerland.,Medical Faculty, University of Basel, Basel, Switzerland
| | | | | | - Roger Kouyos
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, Zurich, Switzerland
| | - Patrick Schmid
- Division of Infectious Diseases, Cantonal Hospital St. Gallen, St. Gallen, Switzerland
| | - Dominique Laurent Braun
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, Zurich, Switzerland.,Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Jan Fehr
- Department of Public & Global Health, Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Zurich, Switzerland.,Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, Zurich, Switzerland
| | - Dunja Nicca
- Nursing Science, Department Public Health, Medical Faculty, University of Basel, Basel, Switzerland. .,Department of Public & Global Health, Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Zurich, Switzerland.
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45
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Raffenberg M, Engel T, Schoepf IC, Kootstra NA, Reiss P, Braun DL, Thorball CW, Fellay J, Kouyos RD, Ledergerber B, Günthard HF, Tarr PE. Impact of Delaying Antiretroviral Treatment during Primary HIV Infection on Telomere Length. J Infect Dis 2021; 224:1775-1784. [PMID: 33822976 DOI: 10.1093/infdis/jiab186] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2020] [Accepted: 03/31/2021] [Indexed: 11/12/2022] Open
Abstract
BACKGROUND Telomere length (TL) shortens during aging, HIV-seroconversion and untreated chronic HIV infection. It is unknown whether early antiretroviral therapy (ART) start is associated with less TL shortening during primary HIV infection (PHI). METHODS We measured TL in peripheral blood mononuclear cells by quantitative PCR in participants of the Zurich PHI Study with samples available for >6 years. We obtained uni-/multivariable estimates from mixed-effects models and evaluated the association of delaying ART start or interrupting ART with baseline and longitudinal TL. RESULTS In 105 participants with PHI (median age 36 years, 9% women), median ART delay was 25, 42, and 60 days, respectively, in the 1 st (shortest), 2 nd, and 3 rd (longest) ART delay tertile. First ART delay tertile was associated with longer baseline TL (p for trend=0.034), and longer TL over 6 years, but only with continuous ART (p<0.001), not if ART was interrupted >12 months (p=0.408). In multivariable analysis, participants in the 2 nd and 3 rd ART delay tertile had 17.6% (5.4-29.7%; p=0.004) and 21.5% (9.4-33.5%; p<0.001) shorter TL, after adjustment for age, with limited effect modification by clinical variables. DISCUSSION In PHI, delaying ART start for even a matter of weeks was associated with significant and sustained TL shortening.
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Affiliation(s)
- Marieke Raffenberg
- University Department of Medicine and Infectious Diseases Service, Kantonsspital Baselland, University of Basel, Bruderholz, Switzerland.,Department of Intensive Care Medicine, Luzerner Kantonsspital, Luzern, Switzerland
| | - Tanja Engel
- University Department of Medicine and Infectious Diseases Service, Kantonsspital Baselland, University of Basel, Bruderholz, Switzerland.,Department of Internal Medicine, Kantonsspital Uri, Altdorf, Switzerland
| | - Isabella C Schoepf
- University Department of Medicine and Infectious Diseases Service, Kantonsspital Baselland, University of Basel, Bruderholz, Switzerland
| | - Neeltje A Kootstra
- Department of Experimental Immunology, Amsterdam University Medical Centers, University of Amsterdam, Netherlands
| | - Peter Reiss
- Department of Global Health and Division of Infectious Disease, Amsterdam University Medical Centers, University of Amsterdam, and Amsterdam Institute for Global Health and Development, Amsterdam, The Netherlands
| | - Dominique L Braun
- Division of Infectious Diseases, University Hospital Zurich, University of Zurich, Switzerland
| | - Christian W Thorball
- EPFL School of Life Sciences and Swiss Institute of Bioinformatics; Lausanne, Switzerland.,Precision Medicine Unit, CHUV, University of Lausanne, Switzerland
| | - Jacques Fellay
- EPFL School of Life Sciences and Swiss Institute of Bioinformatics; Lausanne, Switzerland.,Precision Medicine Unit, CHUV, University of Lausanne, Switzerland
| | - Roger D Kouyos
- Division of Infectious Diseases, University Hospital Zurich, University of Zurich, Switzerland.,Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Bruno Ledergerber
- Division of Infectious Diseases, University Hospital Zurich, University of Zurich, Switzerland
| | - Huldrych F Günthard
- Division of Infectious Diseases, University Hospital Zurich, University of Zurich, Switzerland.,Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Philip E Tarr
- University Department of Medicine and Infectious Diseases Service, Kantonsspital Baselland, University of Basel, Bruderholz, Switzerland
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Brief Report: Switching From TDF to TAF in HIV/HBV-Coinfected Individuals With Renal Dysfunction-A Prospective Cohort Study. J Acquir Immune Defic Syndr 2021; 85:227-232. [PMID: 32925387 PMCID: PMC7495978 DOI: 10.1097/qai.0000000000002429] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
Supplemental Digital Content is Available in the Text. Whereas tenofovir disoproxil fumarate (TDF) can lead to renal adverse events, tenofovir alafenamide (TAF) has a more favorable renal safety profile. However, the impact of replacing TDF with TAF on renal function and liver parameters among HIV/hepatitis B virus (HBV)-coinfected individuals with renal dysfunction remains unclear.
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Courlet P, Barbieux C, Sculier D, Wandeler G, Stoeckle M, Bernasconi E, Braun D, Vernazza P, Cavassini M, Marinosci A, Smit M, Günthard HF, Schmid P, Limacher A, Guidi M, Alves Saldanha S, Decosterd LA, Calmy A. Pharmacokinetic parameters and weight change in HIV patients newly switched to dolutegravir-based regimens in SIMPL'HIV clinical trial. Br J Clin Pharmacol 2021; 87:4455-4460. [PMID: 33764567 DOI: 10.1111/bcp.14832] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2021] [Revised: 03/08/2021] [Accepted: 03/18/2021] [Indexed: 11/29/2022] Open
Abstract
This study aims to evaluate the association between dolutegravir (DTG) pharmacokinetic parameters and weight changes in treatment-experienced people with HIV (PWHIV) from the Simpl'HIV study newly switched to a dual DTG-based regimen. We used multivariable linear regressions to evaluate the association between DTG pharmacokinetic parameters at week 48 (derived using an established model) and weight change between week 0 and week 48. We adjusted our model for potential confounders including CD4 nadir, female sex, African origin, age, weight at week 0 and presence of a non-nucleoside reverse transcriptase inhibitor-based regimen before switch to DTG. The analysis included data from 39 PWHIV. An average significant weight gain of 2.4 kg was observed between baseline and week 48. DTG plasma exposure was not significantly associated with weight gain, even after adjusting for potential confounders (P = .9). We found no significant association between DTG pharmacokinetic parameters and weight gain amongst PWHIV newly switched to a DTG-based dual regimen.
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Affiliation(s)
- Perrine Courlet
- Service of Clinical Pharmacology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Charlotte Barbieux
- HIV/AIDS Unit, Department of Infectious Diseases, Geneva University Hospitals and the University of Geneva Faculty of Medicine, Geneva, Switzerland
| | - Delphine Sculier
- HIV/AIDS Unit, Department of Infectious Diseases, Geneva University Hospitals and the University of Geneva Faculty of Medicine, Geneva, Switzerland.,Private Practice Office, Geneva, Switzerland
| | - Gilles Wandeler
- Department of Infectious Diseases, Bern University Hospital, University of Bern, Bern, Switzerland.,Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland
| | - Marcel Stoeckle
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital of Basel, University of Basel, Switzerland
| | - Enos Bernasconi
- Division of Infectious Diseases, Regional Hospital Lugano, Lugano, Switzerland
| | - Dominique Braun
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital of Zurich, University of Zurich, Zurich, Switzerland.,Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Pietro Vernazza
- Division of Infectious Diseases and Hospital Epidemiology, Kantonspital St. Gallen, St. Gallen, Switzerland
| | - Matthias Cavassini
- Service of Infectious Diseases, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Annalisa Marinosci
- HIV/AIDS Unit, Department of Infectious Diseases, Geneva University Hospitals and the University of Geneva Faculty of Medicine, Geneva, Switzerland
| | - Mikaela Smit
- HIV/AIDS Unit, Department of Infectious Diseases, Geneva University Hospitals and the University of Geneva Faculty of Medicine, Geneva, Switzerland
| | - Huldrych F Günthard
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital of Zurich, University of Zurich, Zurich, Switzerland.,Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Patrick Schmid
- Division of Infectious Diseases and Hospital Epidemiology, Kantonspital St. Gallen, St. Gallen, Switzerland
| | | | - Monia Guidi
- Service of Clinical Pharmacology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.,Centre for Research and Innovation in Clinical Pharmaceutical Sciences, University Hospital and University of Lausanne, Lausanne, Switzerland.,Institute of Pharmaceutical Sciences of Western Switzerland, University of Geneva, University of Lausanne, Geneva, Switzerland
| | - Susana Alves Saldanha
- Service of Clinical Pharmacology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Laurent Arthur Decosterd
- Service of Clinical Pharmacology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Alexandra Calmy
- HIV/AIDS Unit, Department of Infectious Diseases, Geneva University Hospitals and the University of Geneva Faculty of Medicine, Geneva, Switzerland
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Denhaerynck K, Goldfarb-Rumyantzev AS, Sandhu G, Beckmann S, Huynh-Do U, Binet I, De Geest S. Pre-transplant Social Adaptability Index and clinical outcomes in renal transplantation: The Swiss Transplant Cohort study. Clin Transplant 2021; 35:e14218. [PMID: 33406303 DOI: 10.1111/ctr.14218] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2020] [Revised: 12/25/2020] [Accepted: 12/29/2020] [Indexed: 12/26/2022]
Abstract
BACKGROUND The impact of pre-transplant social determinants of health on post-transplant outcomes remains understudied. In the United States, poor clinical outcomes are associated with underprivileged status, as assessed by the Social Adaptability Index (SAI), a composite score of education, employment status, marital status, household income, and substance abuse. Using data from the Swiss Transplant Cohort Study (STCS), we determined the SAI's predictive value regarding two post-transplant outcomes: all-cause mortality and return to dialysis. METHODS Between 2012 and 2018, we included adult renal transplant patients (aged ≥ 18 years) with pre-transplant assessment SAI scores, calculated from a STCS Psychosocial Questionnaire. Time to all-cause mortality and return to dialysis were predicted using Cox regression. RESULTS Of 1238 included patients (mean age: 53.8 ± 13.2 years; 37.9% female; median follow-up time: 4.4 years [IQR: 2.7]), 93 (7.5%) died and 57 (4.6%) returned to dialysis. The SAI's hazard ratio was 0.94 (95%CI: 0.88-1.01; p = .09) for mortality and 0.93 (95%CI: 0.85-1.02; p = .15) for return to dialysis. CONCLUSIONS In contrast to most published studies on social deprivation, analysis of this Swiss sample detected no significant association between SAI score and mortality or return to dialysis.
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Affiliation(s)
- Kris Denhaerynck
- Institute of Nursing Science, Department of Public Health, University of Basel, Basel, Switzerland
| | | | - Gurprataap Sandhu
- Department of Medicine, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Sonja Beckmann
- Institute of Nursing Science, Department of Public Health, University of Basel, Basel, Switzerland.,Center of Clinical Nursing Science, University Hospital Zurich, Zurich, Switzerland
| | - Uyen Huynh-Do
- Department of Nephrology and Hypertension, University Hospital Inselspital, Bern, Switzerland
| | - Isabelle Binet
- Nephrology and Transplantation Medicine, Cantonal Hospital, St Gallen, Switzerland
| | - Sabina De Geest
- Institute of Nursing Science, Department of Public Health, University of Basel, Basel, Switzerland.,Academic Center of Nursing and Midwifery, Department of Public Health and Primary Care, KU Leuven, Belgium
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Darling KEA, Locatelli I, Benghalem N, Nadin I, Calmy A, Gutbrod K, Hauser C, Brugger P, Hasse B, Kovari H, Kunze U, Stoeckle M, Fux C, Rossi S, Di Benedetto C, Früh S, Schmid P, Tarr PE, Daeppen JB, Du Pasquier R, Cavassini M. Alcohol consumption and neurocognitive deficits in people with well-treated HIV in Switzerland. PLoS One 2021; 16:e0246579. [PMID: 33651794 PMCID: PMC7924787 DOI: 10.1371/journal.pone.0246579] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2020] [Accepted: 01/21/2021] [Indexed: 11/25/2022] Open
Abstract
Background Hazardous alcohol consumption and HIV infection increase the risk of neurocognitive impairment (NCI). We examined the association between alcohol consumption and specific neurocognitive domain function in people with HIV (PWH) taking modern antiretroviral therapy. Methods The Neurocognitive Assessment in the Metabolic and Aging Cohort (NAMACO) study is a prospective, longitudinal, multicentre and multilingual (French, German and Italian) study of patients aged ≥45 years old enrolled in the Swiss HIV Cohort Study (SHCS). Baseline data from 981 study participants were examined. Five neurocognitive domains were evaluated: motor skills, speed of information processing, attention/working memory, executive function and verbal episodic memory. NCI was examined as binary (presence/absence) and continuous (mean z-score) outcomes against Alcohol Use Disorders Identification Test for Consumption (AUDIT-C) scores using logistic and linear regression models, respectively. Results Most participants (96.2%) had undetectable viral loads and 64% were aged >50 years old. Hazardous alcohol consumption was observed in 49.4% of participants and binge drinking in 4.2%. While alcohol consumption frequency and quantity were not associated with NCI, the practice of binge drinking was significantly associated with impaired motor skills and overall neurocognitive function in both binary (odds ratio, OR ≥2.0, P <0.05) and continuous (mean z-score difference -0.2 to -0.4, P ≤0.01) outcomes. A significant U-shaped distribution of AUDIT-C score was also observed for motor skills and overall neurocognitive function. Conclusions In this cohort of PWH with well-controlled HIV infection, NCI was associated with the practice of binge drinking rather than alcohol consumption frequency or quantity. Longitudinal analysis of alcohol consumption and NCI in this population is currently underway.
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Affiliation(s)
| | - Isabella Locatelli
- Division of Biostatistics and Quantitative Methods, Institute of Social and Preventive Medicine, Lausanne University Hospital, Lausanne, Switzerland
| | - Nadia Benghalem
- Infectious Diseases Service, Lausanne University Hospital, Lausanne, Switzerland
| | - Isaure Nadin
- Department of Clinical Neurosciences, Laboratory of Neuroimmunology, Research Centre of Clinical Neurosciences, Lausanne University Hospital, Lausanne, Switzerland
| | - Alexandra Calmy
- HIV Unit, Infectious Diseases Division, Medicine Specialties Department, Geneva University Hospital, University of Geneva, Geneva, Switzerland
| | - Klemens Gutbrod
- Division of Cognitive and Restorative Neurology, Department of Neurology, Inselspital Bern, Bern, Switzerland
| | - Christoph Hauser
- Department of Infectious Diseases, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Peter Brugger
- Department of Neuropsychology, Neurology Clinic, University Hospital Zürich, Zürich, Switzerland
| | - Barbara Hasse
- Department of Infectious Diseases and Hospital Epidemiology, Universitätsspital Zurich, University of Zurich, Zurich, Switzerland
| | - Helen Kovari
- Department of Infectious Diseases and Hospital Epidemiology, Universitätsspital Zurich, University of Zurich, Zurich, Switzerland
| | - Ursi Kunze
- Memory Clinic, Felix Platter Hospital, University Centre for Medicine of Aging, Basel, Switzerland
| | - Marcel Stoeckle
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Christophe Fux
- Infectious Diseases and Hospital Epidemiology Department, Kantonsspital Aarau, Aarau, Switzerland
| | - Stefania Rossi
- Neuropsychology Unit, Lugano Regional Hospital, Lugano, Switzerland
| | | | - Severin Früh
- Neuropsychology Unit, Department of Neurology, Kantonsspital St. Gallen, St. Gallen, Switzerland
| | - Patrick Schmid
- Infectious Diseases and Hospital Epidemiology Division, Kantonsspital St. Gallen, St. Gallen, Switzerland
| | - Philip E. Tarr
- University Department of Medicine, Kantonsspital Bruderholz, University of Basel, Bruderholz, Switzerland
| | - Jean-Bernard Daeppen
- Service of Addiction Medicine, Lausanne University Hospital, Lausanne, Switzerland
| | - Renaud Du Pasquier
- Service of Neurology, Department of clinical neurosciences, Lausanne University Hospital, Lausanne, Switzerland
| | - Matthias Cavassini
- Infectious Diseases Service, Lausanne University Hospital, Lausanne, Switzerland
- * E-mail:
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50
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Santos G, Locatelli I, Métral M, Berney A, Nadin I, Calmy A, Tarr P, Gutbrod K, Hauser C, Brugger P, Kovari H, Kunze U, Stoeckle M, Früh S, Schmid P, Rossi S, Di Benedetto C, Du Pasquier R, Darling K, Cavassini M. The association between depressive symptoms and neurocognitive impairment in people with well-treated HIV in Switzerland. Int J STD AIDS 2021; 32:729-739. [PMID: 33629882 DOI: 10.1177/0956462420987434] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
BACKGROUND Depression may contribute to neurocognitive impairment (NCI) in people with HIV (PWH). Attributing NCI to depression rather than to HIV is complicated as depression may be both a causal factor and an effect of NCI. This study aimed to determine the association between depressive symptoms and NCI among PWH with well-controlled infection. METHODS The Neurocognitive Assessment in the Metabolic and Ageing Cohort study is an ongoing, prospective, longitudinal study of PWH aged ≥45 years old nested within the Swiss HIV Cohort Study. Neurocognitive Assessment in the Metabolic and Ageing Cohort study participants underwent neurocognitive assessment and grading of depressive symptoms using the Centre for Epidemiological Studies Depression Scale. Neurocognitive impairment categories were defined using Frascati criteria. Participants with NCI related to neurological or psychiatric confounders other than depression were excluded. The cross-sectional association between the Centre for Epidemiological Studies Depression score and neurocognitive impairment was examined taking Centre for Epidemiological Studies Depression score as a continuous variable and then as a binary variable using two score thresholds, 16 and 27. RESULTS Excluding 79 participants with confounding factors, 902 participants were studied: 81% were men; 96% had plasma viral loads <50 copies/ml; 35% had neurocognitive impairment; 28% had Centre for Epidemiological Studies Depression scores ≥16. Higher Centre for Epidemiological Studies Depression scores were associated with female sex (p = 0.0003), non-Caucasian origin (p = 0.011) and current/past intravenous drug use (p = 0.002). Whilst neurocognitive impairment was associated with higher Centre for Epidemiological Studies Depression scores, the Centre for Epidemiological Studies Depression score was a poor predictor of having neurocognitive impairment (area under the ROC curve 0.604). Applying a Centre for Epidemiological Studies Depression score threshold of 16 predicted the presence of neurocognitive impairment with a sensitivity of 38.3% (specificity 77.2%), increasing the threshold to 27 lowered sensitivity to 15.4% (specificity 93.6%). CONCLUSION In this large cohort of PWH in Switzerland, we did not observe a Centre for Epidemiological Studies Depression score threshold that was sensitive in predicting neurocognitive impairment. As neurocognitive impairment was however associated with higher Centre for Epidemiological Studies Depression scores, the data support the screening for and treatment of depression among PWH diagnosed with neurocognitive impairment.
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Affiliation(s)
- Galia Santos
- Infectious Diseases Service, 30635Lausanne University Hospital, Lausanne, Switzerland
| | - Isabella Locatelli
- Division of biostatistics and quantitative methods, Institute of Social and Preventive Medicine, 30640Lausanne University Hospital, Lausanne, Switzerland
| | - Mélanie Métral
- Laboratory of neuroimmunology, Research Centre of clinical neurosciences, Department of clinical neurosciences, 419233Lausanne University Hospital, Lausanne, Switzerland
| | - Alexandre Berney
- Department of Psychiatry, Lausanne University Hospital, Lausanne, Switzerland
| | - Isaure Nadin
- Laboratory of neuroimmunology, Research Centre of clinical neurosciences, Department of clinical neurosciences, 419233Lausanne University Hospital, Lausanne, Switzerland.,Department of Neurology, 27230Geneva University Hospital, University of Geneva, Geneva, Switzerland
| | - Alexandra Calmy
- HIV unit, Infectious Diseases Division, Medicine Specialties Department, Geneva University Hospital, University of Geneva, Geneva, Switzerland
| | - Philip Tarr
- University Department of Medicine, Kantonsspital Bruderholz, 27209University of Basel, Bruderholz, Basel, Switzerland
| | - Klemens Gutbrod
- Division of Cognitive and Restorative Neurology, Department of Neurology, Inselspital Bern, Bern, Switzerland
| | - Christoph Hauser
- Department of Infectious Diseases, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Peter Brugger
- Department of Neuropsychology, Neurology Clinic, 27243University Hospital Zürich, Zürich, Switzerland
| | - Helen Kovari
- Department of Infectious Diseases and Hospital Epidemiology, Universitätsspital Zurich, University of Zurich, Zurich, Switzerland
| | - Ursi Kunze
- Memory Clinic, University Centre for Medicine of Aging, Felix Platter Hospital, Basel, Switzerland
| | - Marcel Stoeckle
- Division of Infectious Diseases and Hospital Epidemiology, 30262University Hospital Basel, University of Basel, Basel, Switzerland
| | - Severin Früh
- Department of Neurology, Neuropsychology Unit, Kantonsspital St. Gallen, St. Gallen, Switzerland
| | - Patrick Schmid
- Infectious Diseases and Hospital Epidemiology Division, Kantonsspital St. Gallen, St. Gallen, Switzerland
| | - Stefania Rossi
- Neuropsychology Unit, 30721Lugano Regional Hospital, Lugano, Switzerland
| | | | - Renaud Du Pasquier
- Service of Neurology, Department of clinical neurosciences, Lausanne University Hospital, Lausanne, Switzerland
| | - Katharine Darling
- Infectious Diseases Service, 30635Lausanne University Hospital, Lausanne, Switzerland
| | - Matthias Cavassini
- Infectious Diseases Service, 30635Lausanne University Hospital, Lausanne, Switzerland
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