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Johansen IS, Roen A, Kraef C, Martín-Iguacel R, Nemeth J, Fenner L, Zangerle R, Llibre JM, Miller RF, Suarez I, de Wit S, Wit F, Mussini C, Saracino A, Canetti D, Volny-Anne A, Jaschinski N, Neesgaard B, Ryom L, Peters L, Garges HP, Rooney JF, Podlekareva D, Mocroft A, Kirk O. Risk of tuberculosis after initiation of antiretroviral therapy among persons with HIV in Europe. Int J Infect Dis 2024; 147:107199. [PMID: 39142437 DOI: 10.1016/j.ijid.2024.107199] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2024] [Revised: 07/27/2024] [Accepted: 07/31/2024] [Indexed: 08/16/2024] Open
Abstract
OBJECTIVES Tuberculosis (TB) risk after initiation of antiretroviral treatment (ART) is not well described in a European setting, with an average TB incidence of 25/105 in the background population. METHODS We included all adult persons with HIV starting ART in the RESPOND cohort between 2012 and 2020. TB incidence rates (IR) were assessed for consecutive time intervals post-ART initiation. Risk factors for TB within 6 months from ART initiation were evaluated using Poisson regression models. RESULTS Among 8441 persons with HIV, who started ART, 66 developed TB during 34,239 person-years of follow-up (PYFU), corresponding to 1.87/1000 PYFU (95% confidence interval [CI]: 1.47-2.37). TB IR was highest in the first 3 months after ART initiation (14.41/1000 PY (95%CI 10.08-20.61]) and declined at 3-6, 6-12, and >12 months post-ART initiation (5.89 [95%CI 3.35-10.37], 2.54 [95%CI 1.36-4.73] and 0.51 [95%CI 0.30-0.86]), respectively. Independent risk factors for TB within the first 6 months after ART initiation included follow-up in Northern or Eastern Europe region, African origin, baseline CD4 count <200 cells/mm3, HIV RNA >100,000 copies/mL, injecting drug use and heterosexual transmission. CONCLUSIONS TB IR was highest in the first 3 months post-ART initiation and was associated with baseline risk factors, highlighting the importance of thorough TB risk assessment at ART initiation.
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Affiliation(s)
- Isik S Johansen
- Department of Infectious Diseases, Odense University Hospital, University of Southern Denmark, Odense, Denmark; Research Unit of Infectious Diseases, Department of Clinical Research, University of Southern Denmark, Odense, Denmark.
| | - Ashley Roen
- Centre for Clinical Research, Epidemiology, Modelling and Evaluation (CREME), Institute for Global Health, University College London, London, UK; CHIP, Centre of Excellence for Health, Immunity and Infections, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - Christian Kraef
- CHIP, Centre of Excellence for Health, Immunity and Infections, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark; Department of Infectious Diseases, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - Raquel Martín-Iguacel
- Department of Infectious Diseases, Odense University Hospital, University of Southern Denmark, Odense, Denmark; Research Unit of Infectious Diseases, Department of Clinical Research, University of Southern Denmark, Odense, Denmark
| | - Johannes Nemeth
- Swiss HIV Cohort Study (SHCS), University of Zurich, Zurich, Switzerland
| | - Lukas Fenner
- Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland
| | - Robert Zangerle
- Austrian HIV Cohort Study (AHIVCOS), Medizinische Universität Innsbruck, Innsbruck, Austria
| | - Josep M Llibre
- Infectious Diseases Division, University Hospital Germans Trias, Badalona, Spain; Fight Infections Foundation, Badalona, Spain
| | - Robert F Miller
- The Royal Free HIV Cohort Study, Royal Free Hospital, University College London, London, UK
| | - Isabelle Suarez
- Department of Internal Medicine, Medical Faculty and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Stephane de Wit
- CHU Saint-Pierre, Centre de Recherche en Maladies Infectieuses a.s.b.l., Brussels, Belgium
| | - Ferdinand Wit
- AIDS Therapy Evaluation in the Netherlands (ATHENA) Cohort, HIV Monitoring Foundation, Amsterdam, the Netherlands
| | | | - Annalisa Saracino
- Italian Cohort Naive Antiretrovirals (ICONA), ASST Santi Paolo e Carlo, Milano, Italy
| | - Diana Canetti
- San Raffaele Scientific Institute, Università Vita-Salute San Raffaele, Milano, Italy
| | | | - Nadine Jaschinski
- CHIP, Centre of Excellence for Health, Immunity and Infections, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - Bastian Neesgaard
- CHIP, Centre of Excellence for Health, Immunity and Infections, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - Lene Ryom
- CHIP, Centre of Excellence for Health, Immunity and Infections, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark; Dept of Infectious Diseases, Hvidovre Hospital, University of Copenhagen, Denmark; Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Lars Peters
- CHIP, Centre of Excellence for Health, Immunity and Infections, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | | | | | - Daria Podlekareva
- CHIP, Centre of Excellence for Health, Immunity and Infections, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark; Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark; Department of Respiratory Medicine and Infectious Disease, Copenhagen University Hospital, Bispebjerg, Denmark; Gilead Sciences, Foster City, CA, USA
| | - Amanda Mocroft
- Centre for Clinical Research, Epidemiology, Modelling and Evaluation (CREME), Institute for Global Health, University College London, London, UK; CHIP, Centre of Excellence for Health, Immunity and Infections, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - Ole Kirk
- Research Unit of Infectious Diseases, Department of Clinical Research, University of Southern Denmark, Odense, Denmark; CHIP, Centre of Excellence for Health, Immunity and Infections, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark; Department of Infectious Diseases, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark; Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
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2
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Abela IA, Hauser A, Schwarzmüller M, Pasin C, Kusejko K, Epp S, Cavassini M, Battegay M, Rauch A, Calmy A, Notter J, Bernasconi E, Fux CA, Leuzinger K, Perreau M, Ramette A, Gottschalk J, Schindler E, Wepf A, Marconato M, Manz MG, Frey BM, Braun DL, Huber M, Günthard HF, Trkola A, Kouyos RD. Deciphering Factors Linked With Reduced Severe Acute Respiratory Syndrome Coronavirus 2 Susceptibility in the Swiss HIV Cohort Study. J Infect Dis 2024; 230:e292-e304. [PMID: 38227786 PMCID: PMC11326820 DOI: 10.1093/infdis/jiae002] [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: 07/20/2023] [Revised: 12/28/2023] [Accepted: 01/04/2024] [Indexed: 01/18/2024] Open
Abstract
BACKGROUND Factors influencing susceptibility to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) remain to be resolved. Using data from the Swiss HIV Cohort Study on 6270 people with human immunodeficiency virus (HIV) and serologic assessment for SARS-CoV-2 and circulating human coronavirus (HCoV) antibodies, we investigated the association of HIV-related and general parameters with SARS-CoV-2 infection. METHODS We analyzed SARS-CoV-2 polymerase chain reaction test results, COVID-19-related hospitalizations, and deaths reported to the Swiss HIV Cohort Study between 1 January 2020 and 31 December 2021. Antibodies to SARS-CoV-2 and HCoVs were determined in prepandemic (2019) and pandemic (2020) biobanked plasma samples and compared with findings in HIV-negative individuals. We applied logistic regression, conditional logistic regression, and bayesian multivariate regression to identify determinants of SARS-CoV-2 infection and antibody responses to SARS-CoV-2 in people with HIV. RESULTS No HIV-1-related factors were associated with SARS-CoV-2 acquisition. High prepandemic HCoV antibodies were associated with a lower risk of subsequent SARS-CoV-2 infection and with higher SARS-CoV-2 antibody responses on infection. We observed a robust protective effect of smoking on SARS-CoV-2 infection risk (adjusted odds ratio, 0.46 [95% confidence interval, .38-.56]; P < .001), which occurred even in previous smokers and was highest for heavy smokers. CONCLUSIONS Our findings of 2 independent protective factors, smoking and HCoV antibodies, both affecting the respiratory environment, underscore the importance of the local immune milieu in regulating susceptibility to SARS-CoV-2.
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Affiliation(s)
- Irene A Abela
- Department of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich and University of Zurich, Zurich, Switzerland
- Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Anthony Hauser
- Department of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich and University of Zurich, Zurich, Switzerland
- Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | | | - Chloé Pasin
- Department of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich and University of Zurich, Zurich, Switzerland
- Institute of Medical Virology, University of Zurich, Zurich, Switzerland
- Collegium Helveticum, Zurich, Switzerland
| | - Katharina Kusejko
- Department of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich and University of Zurich, Zurich, Switzerland
- Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Selina Epp
- Institute of Medical Virology, University of Zurich, Zurich, 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
| | - Andri Rauch
- Department of Infectious Diseases, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Alexandra Calmy
- Laboratory of Virology and Division of Infectious Diseases, Geneva University Hospital, University of Geneva, Geneva, Switzerland
| | - Julia Notter
- Division of Infectious Diseases, Cantonal Hospital St Gallen, St Gallen, Switzerland
| | - Enos Bernasconi
- Division of Infectious Diseases, Ente Ospedaliero Cantonale Lugano, University of Geneva and University of Southern Switzerland, Lugano, Switzerland
| | - Christoph A Fux
- Department of Infectious Diseases, Kantonsspital Aarau, Aarau, Switzerland
| | | | - Matthieu Perreau
- Division of Immunology and Allergy, Lausanne University Hospital, University of Lausanne, Lausanne, Switzerland
| | - Alban Ramette
- Institute for Infectious Diseases, University of Bern, Bern, Switzerland
| | | | | | - Alexander Wepf
- Institute of Laboratory Medicine, Cantonal Hospital Winterthur, Winterthur, Switzerland
| | - Maddalena Marconato
- Department of Medical Oncology and Hematology, University Hospital and University of Zurich, Zurich, Switzerland
| | - Markus G Manz
- Department of Medical Oncology and Hematology, University Hospital and University of Zurich, Zurich, Switzerland
| | - Beat M Frey
- Blood Transfusion Service Zurich, Zurich, Switzerland
| | - Dominique L Braun
- Department of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich and University of Zurich, Zurich, Switzerland
| | - Michael Huber
- Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Huldrych F Günthard
- Department of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich and University of Zurich, Zurich, Switzerland
- Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Alexandra Trkola
- Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Roger D Kouyos
- Department of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich and University of Zurich, Zurich, Switzerland
- Institute of Medical Virology, University of Zurich, Zurich, Switzerland
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3
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Hutchinson J, Neesgard B, Kowalska J, Grabmeier-Pfistershammer K, Johnson M, Kusejko K, De Wit S, Wit F, Mussini C, Castagna A, Stecher M, Pradier C, Domingo P, Carlander C, Wasmuth J, Chkhartishvili N, Uzdaviniene V, Haberl A, d'Arminio Monforte A, Garges H, Gallant J, Said M, Schmied B, van der Valk M, Konopnicki D, Jaschinski N, Mocroft A, Greenberg L, Burns F, Ryom L, Petoumenos K. Clinical characteristics of women with HIV in the RESPOND cohort: A descriptive analysis and comparison to men. HIV Med 2024. [PMID: 38840507 DOI: 10.1111/hiv.13662] [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: 10/08/2023] [Accepted: 05/02/2024] [Indexed: 06/07/2024]
Abstract
BACKGROUND Women with HIV are globally underrepresented in clinical research. Existing studies often focus on reproductive outcomes, seldom focus on older women, and are often underpowered to assess sex/gender differences. We describe CD4, HIV viral load (VL), clinical characteristics, comorbidity burden, and use of antiretroviral therapy (ART) among women with HIV in the RESPOND study and compare them with those of the men in RESPOND. METHODS RESPOND is a prospective, multi-cohort collaboration including over 34 000 people with HIV from across Europe and Australia. Demographic and clinical characteristics, including CD4/VL, comorbidity burden, and ART are presented at baseline, defined as the latter of 1 January 2012 or enrolment into the local cohort, stratified by age and sex/gender. We further stratify men by reported mode of HIV acquisition, men who have sex with men (MSM) and non-MSM. RESULTS Women account for 26.0% (n = 9019) of the cohort, with a median age of 42.2 years (interquartile range [IQR] 34.7-49.1). The majority (59.3%) of women were white, followed by 30.3% Black. Most women (75.8%) had acquired HIV heterosexually and 15.9% via injecting drug use. Nearly half (44.8%) were receiving a boosted protease inhibitor, 31.4% a non-nucleoside reverse transcriptase inhibitor, and 7.8% an integrase strand transfer inhibitor. The baseline year was 2012 for 73.2% of women and >2019 for 4.2%. Median CD4 was 523 (IQR 350-722) cells/μl, and 73.6% of women had a VL <200 copies/mL. Among the ART-naïve population, women were more likely than MSM but less likely than non-MSM (p < 0.001) to have CD4 <200 cells/μL and less likely than both MSM and non-MSM (p < 0.001) to have VL ≥100 000 copies/mL. Women were also more likely to be free of comorbidity than were both MSM and non-MSM (p < 0.0001). CONCLUSION RESPOND women are diverse in age, ethnicity/race, CD4/VL, and comorbidity burden, with important differences relative to men. This work highlights the importance of stratification by sex/gender for future research that may help improve screening and management guidelines specifically for women with HIV.
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Grants
- U01 AI069907 NIAID NIH HHS
- The International Cohort Consortium of Infectious Disease (RESPOND) is supported by The CHU St Pierre Brussels HIV Cohort, The Austrian HIV Cohort Study, The Australian HIV Observational Database, The AIDS Therapy Evaluation in the Netherlands National Observational HIV cohort, The EuroSIDA cohort, The Frankfurt HIV Cohort Study, The Georgian National AIDS Health Information System, The Nice HIV Cohort, The ICONA Foundation, The Modena HIV Cohort, The PISCIS Cohort Study, The Swiss HIV Cohort Study, The Swedish InfCare HIV Cohort, The Royal Free HIV Cohort Study, The San Raffaele Scientific Institute, The University Hospital Bonn HIV Cohort, The University of Cologne HIV Cohort, The Brighton HIV Cohort and The National Croatian HIV cohort. RESPOND is further financially supported by ViiV Healthcare, Merck Life Sciences, Gilead Sciences, Centre of Excellence for Health, Immunity and Infections (CHIP) and the AHOD cohort by grant No. U01-AI069907 from the U.S. National Institutes of Health, and GNT2023845 of the National Health and Medical Research Council, Australia.
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Affiliation(s)
- J Hutchinson
- The Australian HIV Observational Database (AHOD), The Kirby Institute, UNSW Sydney, Sydney, New South Wales, Australia
| | - B Neesgard
- CHIP, Centre of Excellence for Health, Immunity, and Infections, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - J Kowalska
- Medical University of Warsaw, Warsaw, Poland
| | - K Grabmeier-Pfistershammer
- Austrian HIV Cohort Study (AHIVCOS), Department Of Dermatology, Medical University of Vienna, Vienna, Austria
| | - M Johnson
- Department of Infectious Diseases and Hospital Epidemiology, Royal Free London NHS Foundation Trust, London, UK
| | - K Kusejko
- University Hospital Zurich; Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - S De Wit
- Saint-Pierre University Hospital, Infectious Diseases Department, Université Libre de Bruxelles, Brussels, Belgium
| | - F Wit
- AIDS Therapy Evaluation in the Netherlands (ATHENA) Cohort, HIV Monitoring Foundation, Amsterdam, the Netherlands
- Division of Infectious Diseases, Amsterdam Infection and Immunity Institute, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, The Netherlands
| | - C Mussini
- Modena HIV Cohort, Università degli Studi di Modena, Modena, Italy
- Italian Cohort Naive Antiretrovirals (ICONA), Milan, Italy
| | - A Castagna
- San Raffaele Scientific Institute, Università Vita-Salute San Raffaele, Milan, Italy
| | - M Stecher
- University Hospital Cologne, Cologne, Germany
| | - C Pradier
- Nice HIV Cohort, Université Côte d'Azur et Centre Hospitalier Universitaire, Nice, France
| | - P Domingo
- Sant Pau and Santa Creu Hospital, Barcelona, Spain
| | - C Carlander
- Swedish InfCareHIV, Karolinska University Hospital, Solna, Sweden
| | - J Wasmuth
- University Hospital Bonn, Bonn, Germany
| | - N Chkhartishvili
- Georgian National AIDS Health Information System (AIDS HIS), Infectious Diseases, AIDS and Clinical Immunology Research Center, Tbilisi, Georgia
| | - V Uzdaviniene
- Vilnius University Hospital Santaros Klinikos, Vilnius, Lithuania
| | - A Haberl
- Medical Center, Infectious Diseases Unit, Goethe-University Hospital, Frankfurt, Germany
| | | | - H Garges
- ViiV Healthcare, RTP, Research Triangle Park, North Carolina, USA
| | - J Gallant
- Gilead Sciences, Foster City, California, USA
| | - M Said
- European AIDS Treatment Group (EATG), Division of Infectious Diseases, Amsterdam Infection and Immunity Institute, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, The Netherlands
| | - B Schmied
- Austrian HIV Cohort Study (AHIVCOS), Department Of Dermatology, Medical University of Vienna, Vienna, Austria
| | - M van der Valk
- AIDS Therapy Evaluation in the Netherlands (ATHENA) Cohort, HIV Monitoring Foundation, Amsterdam, the Netherlands
- Division of Infectious Diseases, Amsterdam Infection and Immunity Institute, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, The Netherlands
| | - D Konopnicki
- Saint-Pierre University Hospital, Infectious Diseases Department, Université Libre de Bruxelles, Brussels, Belgium
| | - N Jaschinski
- CHIP, Centre of Excellence for Health, Immunity, and Infections, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - A Mocroft
- CHIP, Centre of Excellence for Health, Immunity, and Infections, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
- Institute for Global Health, University College London, London, UK
| | - L Greenberg
- CHIP, Centre of Excellence for Health, Immunity, and Infections, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - F Burns
- Department of Infectious Diseases and Hospital Epidemiology, Royal Free London NHS Foundation Trust, London, UK
- Institute for Global Health, University College London, London, UK
| | - L Ryom
- CHIP, Centre of Excellence for Health, Immunity, and Infections, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
- Department of Infectious Disease 144, Hvidovre University Hospital, Copenhagen, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - K Petoumenos
- The Australian HIV Observational Database (AHOD), The Kirby Institute, UNSW Sydney, Sydney, New South Wales, Australia
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4
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Roen AO, Peters L, Wandeler G, van der Valk M, Zangerle R, Günthard HF, Wit F, Mussini C, De Wit S, d’Arminio Monforte A, Vehreschild JJ, Castagna A, Jaschinski N, Vannappagari V, Chen L, Tallada J, C’mar J, Mocroft A, Ryom L. Chronic Liver Enzyme Elevation and Use of Contemporary ARVs Among People With HIV. Open Forum Infect Dis 2024; 11:ofae308. [PMID: 38919512 PMCID: PMC11196901 DOI: 10.1093/ofid/ofae308] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2024] [Accepted: 06/05/2024] [Indexed: 06/27/2024] Open
Abstract
Background While use of some older antiretroviral drugs (ARVs) is associated with chronic liver enzyme elevation (cLEE), the impact of newer ARVs remains unknown. Methods People with HIV enrolled in the RESPOND cohort who started an ARV after January 1, 2012 were included (baseline). The primary outcome was first cLEE individuals were censored at first of cLEE, last visit, death, or December 31, 2021. Incidence rates (IRs; events/1000 person-years) were calculated for each ARV overall and by ARV exposure (6-12 months, 1-2 years, and 2+ years). Poisson regression was used to estimate the incidence rate ratio (IRR) of cLEE and its association with individual ARVs and ARV class. Results Of 17 106 individuals included contributing 87 924 person-years of follow-up, 1932 (11.3%) experienced cLEE (incidence rate [IR], 22.0; 95% CI, 21.0-23.0). There was no evidence of a cumulative ARV effect on cLEE incidence, (6-12 months: IR, 45.8; 95% CI, 41.4-50.19; 1-2 years: IR, 34.3; 95% CI, 31.5-37.4; and 2+ years: IR, 18.5; 95% CI, 17.4-19.7). Any use (vs no prior use) of non-nucleoside reverse transcriptase inhibitors (NNRTIs) as a class and tenofovir disoproxil fumarate (TDF) was independently associated with an increased IRR of cLEE, and any use of darunavir (DRV) was associated with a decreased risk of cLEE. Conclusions cLEE is common and more frequent during the first year after initiating new ARVs. With a >5-year median follow-up, we found no short-term liver safety concerns with the use of INSTIs. Use of NNRTIs and TDF was associated with an increased cLEE risk, while DRV was associated with lower risk.
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Affiliation(s)
- Ashley O Roen
- Institute for Global Health, University College London, London, UK
| | - Lars Peters
- CHIP, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - Gilles Wandeler
- Department of Infectious Diseases, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Marc van der Valk
- Stichting HIV Monitoring Amsterdam, Amsterdam, The Netherlands
- Amsterdam University Medical Centers, University of Amsterdam, Division of Infectious Diseases, and Amsterdam Institute for Infection and Immunity, Amsterdam, The Netherlands
| | - Robert Zangerle
- Austrian HIV Cohort Study (AHIVCOS), Medizinische Universität Innsbruck, Innsbruck, Austria
| | - Huldrych F Günthard
- Department of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, Zurich, Switzerland
- Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Ferdinand Wit
- AIDS Therapy Evaluation in the Netherlands (ATHENA) Cohort, HIV Monitoring Foundation, Amsterdam, The Netherlands
| | - Cristina Mussini
- Modena HIV Cohort, Università degli Studi di Modena, Modena, Italy
| | - Stéphane De Wit
- CHU Saint-Pierre, Centre de Recherche en Maladies Infectieuses a.s.b.l., Brussels, Belgium
| | | | | | - Antonella Castagna
- San Raffaele Scientific Institute, Università Vita-Salute San Raffaele, Milano, Italy
| | | | | | - Linda Chen
- Gilead Science, Foster City, California, USA
| | - Joan Tallada
- European AIDS Treatment Group, Brussels, Belgium
| | | | - Amanda Mocroft
- Institute for Global Health, University College London, London, UK
- CHIP, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - Lene Ryom
- CHIP, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
- Department of Infectious Diseases 144, Hvidovre University Hospital, Copenhagen, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
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5
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Chammartin F, Mocroft A, Egle A, Zangerle R, Smith C, Mussini C, Wit F, Vehreschild JJ, d’Arminio Monforte A, Castagna A, Bailly L, Bogner J, de Wit S, Matulionyte R, Law M, Svedhem V, Tallada J, Garges HP, Marongiu A, Borges ÁH, Jaschinski N, Neesgaard B, Ryom L, Bucher HC. Measures of Longitudinal Immune Dysfunction and Risk of AIDS and Non-AIDS Defining Malignancies in Antiretroviral-Treated People With Human Immunodeficiency Virus. Clin Infect Dis 2024; 78:995-1004. [PMID: 38092042 PMCID: PMC11006099 DOI: 10.1093/cid/ciad671] [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: 09/30/2023] [Indexed: 04/11/2024] Open
Abstract
BACKGROUND Human immunodeficiency virus (HIV) infection leads to chronic immune activation/inflammation that can persist in virally suppressed persons on fully active antiretroviral therapy (ART) and increase risk of malignancies. The prognostic role of low CD4:CD8 ratio and elevated CD8 cell counts on the risk of cancer remains unclear. METHODS We investigated the association of CD4:CD8 ratio on the hazard of non-AIDS defining malignancy (NADM), AIDS-defining malignancy (ADM) and most frequent group of cancers in ART-treated people with HIV (PWH) with a CD4 and CD8 cell counts and viral load measurements at baseline. We developed Cox proportional hazard models with adjustment for known confounders of cancer risk and time-dependent cumulative and lagged exposures of CD4:CD8 ratio to account for time-evolving risk factors and avoid reverse causality. RESULTS CD4:CD8 ratios below 0.5, compared to above 1.0, were independently associated with a 12-month time-lagged higher risk of ADM and infection-related malignancies (adjusted hazard ratio 2.61 [95% confidence interval {CI }1.10-6.19] and 2.03 [95% CI 1.24-3.33], respectively). CD4 cell counts below 350 cells/μL were associated with an increased risk of NADMs and ADMs, as did infection, smoking, and body mass index-related malignancies. CONCLUSIONS In ART-treated PWH low CD4:CD8 ratios were associated with ADM and infection-related cancers independently from CD4 and CD8 cell counts and may alert clinicians for cancer screening and prevention of NADM.
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Affiliation(s)
- Frédérique Chammartin
- Division of Clinical Epidemiology, Department of Clinical Research, University Hospital Basel and University of Basel, Basel, Switzerland
| | - Amanda Mocroft
- CHIP, Department of Infectious Diseases, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
- Centre for Clinical Research, Epidemiology, Modelling and Evaluation (CREME), Institute for Global Health, University College London, London, United Kingdom
| | - Alexander Egle
- Austrian HIV Cohort Study (AHIVCOS), Paracelsus Medical University Hospital, Salzburg, Austria
| | - Robert Zangerle
- Austrian HIV Cohort Study (AHIVCOS), Medizinische Universität Innsbruck, Innsbruck, Austria
| | - Colette Smith
- The Royal Free HIV Cohort Study, Royal Free Hospital, University College London, London, United Kingdom
| | - Cristina Mussini
- Modena HIV Cohort, Università degli Studi di Modena, Modena, Italy
| | - Ferdinand Wit
- AIDS Therapy Evaluation in the Netherlands (ATHENA) Cohort, HIV Monitoring Foundation, Amsterdam, The Netherlands
| | | | | | - Antonella Castagna
- San Raffaele Scientific Institute, Università Vita-Salute San Raffaele, Milano, Italy
| | - Laurent Bailly
- Nice HIV Cohort, Department of Public Health, Université Côte d’Azur—Centre Hospitalier Universitaire de Nice, UR2CA, Nice, France
| | - Johannes Bogner
- Division of Infectious Diseases, Medizinische Klinik und Poliklinik IV, LMU University Hospital, LMU Munich, Munich, Germany
| | - Stéphane de Wit
- CHU Saint-Pierre, Centre de Recherche en Maladies Infectieuses a.s.b.l., Brussels, Belgium
| | - Raimonda Matulionyte
- Vilnius University, Faculty of Medicine, Department of Infectious Diseases and Dermatovenerology; Vilnius University Hospital Santaros Klinikos, Vilnius, Lithuania
| | - Matthew Law
- The Australian HIV Observational Database (AHOD), Kirby Institute, University of New South Wales, New South Wales, Australia
| | - Veronica Svedhem
- Division of Infectious Diseases, Department of Medicine, Karolinska Institute and Karolinska University Hospital, Stockholm, Sweden
| | - Joan Tallada
- European AIDS Treatment Group (EATG), Brussels, Belgium
| | | | | | - Álvaro H Borges
- CHIP, Department of Infectious Diseases, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
- Department of Infectious Diseases Immunology, Statens Serum Institut, Copenhagen, Denmark
| | - Nadine Jaschinski
- CHIP, Department of Infectious Diseases, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - Bastian Neesgaard
- CHIP, Department of Infectious Diseases, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - Lene Ryom
- CHIP, Department of Infectious Diseases, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
- Department of Infectious Diseases 144, Hvidovre University Hospital, Copenhagen, Denmark
| | - Heiner C Bucher
- Division of Clinical Epidemiology, Department of Clinical Research, University Hospital Basel and University of Basel, Basel, Switzerland
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Chen W, Petoumenos K, Somia A, Edmiston N, Chaiwarith R, Woolley I, Ross J, Pujari S, Boettiger DC. Changes in atherosclerotic cardiovascular disease risk over time among people living with HIV. J Antimicrob Chemother 2024; 79:897-902. [PMID: 38416697 PMCID: PMC10984948 DOI: 10.1093/jac/dkae049] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2023] [Accepted: 02/06/2024] [Indexed: 03/01/2024] Open
Abstract
OBJECTIVE To describe changes in atherosclerotic cardiovascular disease (ASCVD) risk over time among people living with HIV (PLHIV). METHODS We used data from the TREAT Asia HIV Observational Database (TAHOD) and the Australian HIV Observational Database (AHOD). Five-year ASCVD risk was calculated using the D:A:D equation. Individuals were eligible for inclusion if they were aged ≥18 years, had started ART, had no previous history of ASCVD and had complete ASCVD risk factor data available within the first 5 years of ART initiation. RESULTS A total of 3368 adults contributed data, 3221 were from TAHOD and 147 were from AHOD. The median age at ART initiation was 36 [IQR 31-43] years for TAHOD participants, and 42 [IQR 35-50] years for AHOD participants. Most TAHOD (70.4%) and AHOD (91.8%) participants were male. Overall, ASCVD risk increased from 0.84% (95% CI 0.81%-0.87%) at ART initiation to 1.34% (95% CI 1.29%-1.39%) after 5 years on ART. After adjusting for traditional and HIV-associated ASCVD risk factors, ASCVD risk increased at a similar rate among sub-populations defined by HIV exposure (heterosexuals, men who have sex with men, people who inject drugs), race/ethnicity (Caucasian and Asian) and nadir CD4 at ART initiation (<200 and ≥200 cells/mm3). CONCLUSIONS These findings emphasize the growing burden of ASCVD risk among PLHIV and the need to develop interventions that are effective across a broad range of HIV sub-populations.
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Affiliation(s)
- Weisi Chen
- Kirby Institute, UNSW Sydney, Sydney, Australia
| | | | - Agus Somia
- Department of Tropical and Infectious Diseases, Udayana University, Denpasar, Indonesia
| | - Natalie Edmiston
- School of Medicine, Rural Research, Western Sydney University, Sydney, Australia
| | - Romanee Chaiwarith
- Department of Internal Medicine, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand
| | - Ian Woolley
- Monash Infectious Diseases, Monash Health and Monash University, Melbourne, Australia
| | - Jeremy Ross
- TREAT Asia, amfAR—The Foundation for AIDS Research, Bangkok, Thailand
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Mocroft A, Pelchen-Matthews A, Hoy J, Llibre JM, Neesgaard B, Jaschinski N, Domingo P, Rasmussen LD, Günthard HF, Surial B, Öllinger A, Knappik M, de Wit S, Wit F, Mussini C, Vehreschild J, Monforte AD, Sonnerborg A, Castagna A, Anne AV, Vannappagari V, Cohen C, Greaves W, Wasmuth JC, Spagnuolo V, Ryom L. Heavy antiretroviral exposure and exhausted/limited antiretroviral options: predictors and clinical outcomes. AIDS 2024; 38:497-508. [PMID: 38079588 DOI: 10.1097/qad.0000000000003798] [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: 02/29/2024]
Abstract
OBJECTIVES People with HIV and extensive antiretroviral exposure may have limited/exhausted treatment options (LExTO) due to resistance, comorbidities, or antiretroviral-related toxicity. Predictors of LExTO were investigated in the RESPOND cohort. METHODS Participants on ART for at least 5 years were defined as having LExTO when switched to at least two anchor agents and one third antiretroviral (any class), a two-drug regimen of two anchor agents (excluding rilpivirine with dolutegravir/cabotegravir), or at least three nucleoside reverse transcriptase inhibitors. Baseline was the latest of January 1, 2012, cohort enrolment or 5 years after starting antiretrovirals. Poisson regression modeled LExTO rates and clinical events (all-cause mortality, non-AIDS malignancy, cardiovascular disease [CVD], and chronic kidney disease [CKD]). RESULTS Of 23 827 participants, 2164 progressed to LExTO (9.1%) during 130 061 person-years follow-up (PYFU); incidence 1.66/100 PYFU (95% CI 1.59-1.73). Predictors of LExTO were HIV duration more than 15 years (vs. 7.5-15; adjusted incidence rate ratio [aIRR] 1.32; 95% CI 1.19-1.46), development of CKD (1.84; 1.59-2.13), CVD (1.64; 1.38-1.94), AIDS (1.18; 1.07-1.30), and current CD4 + cell count of 350 cells/μl or less (vs. 351-500 cells/μl, 1.51; 1.32-1.74). Those followed between 2018 and 2021 had lower rates of LExTO (vs. 2015-2017; 0.52; 0.47-0.59), as did those with baseline viral load of 200 cp/ml or less (0.46; 0.40-0.53) and individuals under 40. Development of LExTO was not significantly associated with clinical events after adjustment for age and current CD4, except CKD (1.74; 1.48-2.05). CONCLUSION Despite an aging and increasingly comorbid population, we found declining LExTO rates by 2018-2021, reflecting recent developments in contemporary ART options and clinical management. Reassuringly, LExTO was not associated with a significantly increased incidence of serious clinical events apart from CKD.
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Affiliation(s)
- Amanda Mocroft
- CHIP, Section 2100, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
- Centre for Clinical Research, Epidemiology, Modelling and Evaluation, University College London, London, UK
| | - Annegret Pelchen-Matthews
- Centre for Clinical Research, Epidemiology, Modelling and Evaluation, University College London, London, UK
| | - Jennifer Hoy
- Department of Infectious Diseases, Alfred Hospital and Monash University, Melbourne, Victoria, Australia
| | - Josep M Llibre
- Department of Infectious Diseases, Hospital Universitari Germans Trias i Pujol
| | - Bastian Neesgaard
- CHIP, Section 2100, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - Nadine Jaschinski
- CHIP, Section 2100, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - Pere Domingo
- Department of Infectious Diseases, Hospital of the Holy Cross and Saint Paul, Barcelona, Spain
| | | | - Huldrych F Günthard
- Department of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich
- Institute of Medical Virology, University of Zurich, Zurich
| | - Bernard Surial
- Department of Infectious Diseases, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Angela Öllinger
- Department of Dermatology and Venerology, Kepler University Hospital, Linz
| | - Michael Knappik
- Department of Respiratory Medicine, Klinik Penzing, Vienna, Austria
| | - Stephane de Wit
- CHU Saint-Pierre, Centre de Recherche en Maladies Infectieuses a.s.b.l., Brussels, Belgium
| | - Ferdinand Wit
- AIDS Therapy Evaluation in the Netherlands (ATHENA) cohort, HIV Monitoring Foundation, Amsterdam, the Netherlands
| | - Cristina Mussini
- Modena HIV Cohort, Università degli Studi di Modena, Modena, Italy
| | - Joerg Vehreschild
- Department I of Internal Medicine, Faculty of Medicine and University Hospital Cologne, Cologne, Germany
| | | | - Anders Sonnerborg
- Swedish InfCare HIV Cohort, Karolinska University Hospital, Karolinska, Sweden
| | - Antonella Castagna
- San Raffaele Scientific Institute, Università Vita-Salute San Raffaele, Milan, Italy
| | | | | | | | | | | | - Vincenzo Spagnuolo
- San Raffaele Scientific Institute, Università Vita-Salute San Raffaele, Milan, Italy
| | - Lene Ryom
- CHIP, Section 2100, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
- Department of Infectious Diseases 144, Hvidovre University Hospital
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
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8
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Álvarez H, Mocroft A, Ryom L, Neesgaard B, Edwards S, Svedhem V, Günthard HF, Zangerle R, Smith C, Castagna A, d’Arminio Monforte A, Wit F, Stecher M, Lehman C, Mussini C, Fontas E, González E, Wasmuth JC, Sönnerborg A, De Wit S, Chkhartishvili N, Stephan C, Petoumenos K, Jaschinski N, Vannappagari V, Gallant J, Young L, Volny Anne A, Greenberg L, Martín-Iguacel R, Poveda E, Llibre JM. Plasma Human Immunodeficiency Virus 1 RNA and CD4+ T-Cell Counts Are Determinants of Virological Nonsuppression Outcomes With Initial Integrase Inhibitor-Based Regimens: A Prospective RESPOND Cohort Study. Clin Infect Dis 2023; 77:593-605. [PMID: 37052343 PMCID: PMC10893964 DOI: 10.1093/cid/ciad219] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2022] [Revised: 04/03/2023] [Accepted: 04/10/2023] [Indexed: 04/14/2023] Open
Abstract
BACKGROUND There are conflicting data regarding baseline determinants of virological nonsuppression outcomes in persons with human immunodeficiency virus (HIV) starting antiretroviral treatment (ART). We evaluated the impact of different baseline variables in the RESPOND cohort. METHODS We included treatment-naive participants aged ≥18 who initiated 3-drug ART, in 2014-2020. We assessed the odds of virological suppression (VS) at weeks 48 and 96 using logistic regression. Viral blips, low-level viremia (LLV), residual viremia (RV), and virological failure (VF) rates were assessed using Cox regression. RESULTS Of 4310 eligible participants, 72% started integrase strand transfer inhibitor (INSTI)-based regimens. At 48 and 96 weeks, 91.0% and 93.3% achieved VS, respectively. At 48 weeks, Kaplan-Meier estimates of rates were 9.6% for viral blips, 2.1% for LLV, 22.2% for RV, and 2.1% for VF. Baseline HIV-1 RNA levels >100 000 copies/mL and CD4+ T-cell counts ≤200/µL were negatively associated with VS at weeks 48 (adjusted odds ratio, 0.51 [95% confidence interval, .39-.68] and .40 [.27-.58], respectively) and 96 and with significantly higher rates of blips, LLV, and RV. CD4+ T-cell counts ≤200/µL were associated with higher risk of VF (adjusted hazard ratio, 3.12 [95% confidence interval, 2.02-4.83]). Results were consistent in those starting INSTIs versus other regimens and those starting dolutegravir versus other INSTIs. CONCLUSIONS Initial high HIV-1 RNA and low CD4+ T-cell counts are associated with lower rates of VS at 48 and 96 weeks and higher rates of viral blips, LLV, and RV. Low baseline CD4+ T-cell counts are associated with higher VF rates. These associations remain with INSTI-based and specifically with dolutegravir-based regimens. These findings suggest that the impact of these baseline determinants is independent of the ART regimen initiated.
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Affiliation(s)
- Hortensia Álvarez
- Department of Internal Medicine, Infectious Diseases Unit, Complexo Hospitalario Universitario de Ferrol, Ferrol, SERGAS-A Coruña, Spain
- Department of Biochemistry, Genetics and Immunology, Universidade de Vigo, Vigo, Spain
| | - Amanda Mocroft
- CHIP, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
- Centre for Clinical Research, Epidemiology, Modelling and Evaluation, Institute for Global Health, University College London, London, United Kingdom
| | - Lene Ryom
- CHIP, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
- Department of Infectious Diseases, Hvidovre University Hospital, Copenhagen, Denmark
| | | | - Simon Edwards
- Department of HIV, Mortimer Market Centre, London, United Kingdom
| | - Veronica Svedhem
- Department of Medicine, Medical Unit Infectious Diseases, Karolinska University Hospital, Karolinska Institutet, Huddinge, Sweden
| | - Huldrych F Günthard
- Department of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich and Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Robert Zangerle
- Austrian HIV Cohort Study, Medizinische Universität Innsbruck, Innsbruck, Austria
| | - Colette Smith
- The Royal Free HIV Cohort Study, Royal Free Hospital, University College London, London, United Kingdom
| | - Antonella Castagna
- San Raffaele Scientific Institute, Università Vita-Salute San Raffaele, Milano, Italy
| | | | - Ferdinand Wit
- AIDS Therapy Evaluation in the Netherlands (ATHENA) cohort, HIV Monitoring Foundation, Amsterdam, The Netherlands
| | - Melanie Stecher
- Division of Infectious Diseases, Department I of Internal Medicine, Medical Faculty and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Clara Lehman
- Division of Infectious Diseases, Department I of Internal Medicine, Medical Faculty and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Cristina Mussini
- Modena HIV Cohort, Università degli Studi di Modena, Modena, Italy
| | - Eric Fontas
- Nice HIV Cohort, Université Côte d´Azur et Centre Hospitalier Universitaire, Nice, France
| | - Eva González
- PISCIS Cohort Study, Centre Estudis Epidemologics de ITS i VIH de Catalunya, Badalona, Spain
| | | | - Anders Sönnerborg
- Swedish InfCare HIV Cohort, Karolinska University Hospital, Stockholm, Sweden
| | - Stéphane De Wit
- CHU Saint-Pierre, Université Libre de Bruxelles, Brussels, Belgium
| | - Nikoloz Chkhartishvili
- Georgian National AIDS Health Information System, Infectious Diseases, AIDS and Clinical Immunology Research Center, Tbilisi, Georgia
| | - Christoph Stephan
- Frankfurt HIV Cohort Study, University Hospital Frankfurt, Goethe-University, Infectious Diseases Unit, Frankfurt, Germany
| | - Kathy Petoumenos
- The Kirby Institute, University of New South Wales, Sydney, Australia
| | | | | | | | | | | | - Lauren Greenberg
- CHIP, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
- Centre for Clinical Research, Epidemiology, Modelling and Evaluation, Institute for Global Health, University College London, London, United Kingdom
| | | | - Eva Poveda
- Group of Virology and Pathogenesis, Galicia Sur Health Research Institute (IIS Galicia Sur)–Complexo Hospitalario Universitario de Vigo, Vigo, SERGAS-UVigo, Spain
| | - Josep M Llibre
- Infectious Diseases Division and Fight Infections Foundation, University Hospital Germans Trias i Pujol, Barcelona, Spain
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9
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Greenberg L, Ryom L, Bakowska E, Wit F, Bucher HC, Braun DL, Phillips A, Sabin C, d'Arminio Monforte A, Zangerle R, Smith C, De Wit S, Bonnet F, Pradier C, Mussini C, Muccini C, Vehreschild JJ, Hoy J, Svedhem V, Miró JM, Wasmuth JC, Reiss P, Llibre JM, Chkhartishvili N, Stephan C, Hatleberg CI, Neesgaard B, Peters L, Jaschinski N, Dedes N, Kuzovatova E, Van Der Valk M, Menozzi M, Lehmann C, Petoumenos K, Garges H, Rooney J, Young L, Lundgren JD, Bansi-Matharu L, Mocroft A, On Behalf Of The Respond And D A D Study Groups. Trends in Cancer Incidence in Different Antiretroviral Treatment-Eras amongst People with HIV. Cancers (Basel) 2023; 15:3640. [PMID: 37509301 PMCID: PMC10377704 DOI: 10.3390/cancers15143640] [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: 06/08/2023] [Revised: 07/03/2023] [Accepted: 07/07/2023] [Indexed: 07/30/2023] Open
Abstract
Despite cancer being a leading comorbidity amongst individuals with HIV, there are limited data assessing cancer trends across different antiretroviral therapy (ART)-eras. We calculated age-standardised cancer incidence rates (IRs) from 2006-2021 in two international cohort collaborations (D:A:D and RESPOND). Poisson regression was used to assess temporal trends, adjusted for potential confounders. Amongst 64,937 individuals (31% ART-naïve at baseline) and 490,376 total person-years of follow-up (PYFU), there were 3763 incident cancers (IR 7.7/1000 PYFU [95% CI 7.4, 7.9]): 950 AIDS-defining cancers (ADCs), 2813 non-ADCs, 1677 infection-related cancers, 1372 smoking-related cancers, and 719 BMI-related cancers (groups were not mutually exclusive). Age-standardised IRs for overall cancer remained fairly constant over time (8.22/1000 PYFU [7.52, 8.97] in 2006-2007, 7.54 [6.59, 8.59] in 2020-2021). The incidence of ADCs (3.23 [2.79, 3.72], 0.99 [0.67, 1.42]) and infection-related cancers (4.83 [4.2, 5.41], 2.43 [1.90, 3.05]) decreased over time, whilst the incidence of non-ADCs (4.99 [4.44, 5.58], 6.55 [5.67, 7.53]), smoking-related cancers (2.38 [2.01, 2.79], 3.25 [2.63-3.96]), and BMI-related cancers (1.07 [0.83, 1.37], 1.88 [1.42, 2.44]) increased. Trends were similar after adjusting for demographics, comorbidities, HIV-related factors, and ART use. These results highlight the need for better prevention strategies to reduce the incidence of NADCs, smoking-, and BMI-related cancers.
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Affiliation(s)
- Lauren Greenberg
- CHIP, Centre of Excellence for Health, Immunity and Infections Rigshospitalet, University of Copenhagen, DK-2100 Copenhagen, Denmark
| | - Lene Ryom
- CHIP, Centre of Excellence for Health, Immunity and Infections Rigshospitalet, University of Copenhagen, DK-2100 Copenhagen, Denmark
- Department of Infectious Diseases 144, Hvidovre University Hospital, DK-2650 Copenhagen, Denmark
| | | | - Ferdinand Wit
- Stichting HIV Monitoring, 1105 BD Amsterdam, The Netherlands
| | - Heiner C Bucher
- Department of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, 8001 Zurich, Switzerland
| | - Dominique L Braun
- Department of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, 8001 Zurich, Switzerland
| | - Andrew Phillips
- Centre for Clinical Research, Epidemiology, Modelling and Evaluation, Institute for Global Health, University College London, London NW3 2PF, UK
| | - Caroline Sabin
- Centre for Clinical Research, Epidemiology, Modelling and Evaluation, Institute for Global Health, University College London, London NW3 2PF, UK
| | | | - Robert Zangerle
- Austrian HIV Cohort Study (AHIVCOS), Medizinische Universität Innsbruck, 6020 Innsbruch, Austria
| | - Colette Smith
- The Royal Free HIV Cohort Study, Royal Free Hospital, University College London, London NW3 2PF, UK
| | - Stéphane De Wit
- CHU Saint-Pierre, Centre de Recherche en Maladies Infectieuses a.s.b.l., 1000 Brussels, Belgium
| | - Fabrice Bonnet
- CHU de Bordeaux and Bordeaux University, BPH, INSERM U1219, 33076 Bordeaux, France
| | - Christian Pradier
- Nice HIV Cohort, Université Côte d'Azur et Centre Hospitalier Universitaire, 06000 Nice, France
| | - Cristina Mussini
- Modena HIV Cohort, Università Degli Studi Di Modena and Reggio Emilia, 41125 Modena, Italy
| | - Camilla Muccini
- San Raffaele Scientific Institute, Università Vita-Salute San Raffaele, 20132 Milano, Italy
| | | | - Jennifer Hoy
- Department of Infectious Diseases, Alfred Hospital and Monash University, Melbourne 3004, Australia
- The Australian HIV Observational Database (AHOD), Kirby Institute, UNSW, Sydney 2052, Australia
| | - Veronica Svedhem
- Swedish InfCareHIV Cohort, Karolinska University Hospital, 141 86 Stockholm, Sweden
| | - Jose M Miró
- Infectious Diseases Service, Hospital Clinic-IDIBAPS, University of Barcelona, 08036 Barcelona, Spain
- CIBERINFEC, Instituto de Salud Carlos III, 28029 Madrid, Spain
| | | | - Peter Reiss
- Amsterdam UMC Location, Department of Global Health, University of Amsterdam, Global Health, Meibergdreef 9, 1105 Amsterdam, The Netherlands
| | - Josep M Llibre
- Department of Infectious Diseases, Hospital Universitari Germans Trias i Pujol, 08916 Badalona, Spain
| | - Nikoloz Chkhartishvili
- Georgian National AIDS Health Information System (AIDS HIS), Infectious Diseases, AIDS and Clinical Immunology Research Center, Tbilisi, Georgia
| | - Christoph Stephan
- HIV Center, University Hospital Frankfurt, Goethe-University, 60596 Frankfurt, Germany
| | - Camilla I Hatleberg
- CHIP, Centre of Excellence for Health, Immunity and Infections Rigshospitalet, University of Copenhagen, DK-2100 Copenhagen, Denmark
| | - Bastian Neesgaard
- CHIP, Centre of Excellence for Health, Immunity and Infections Rigshospitalet, University of Copenhagen, DK-2100 Copenhagen, Denmark
| | - Lars Peters
- CHIP, Centre of Excellence for Health, Immunity and Infections Rigshospitalet, University of Copenhagen, DK-2100 Copenhagen, Denmark
| | - Nadine Jaschinski
- CHIP, Centre of Excellence for Health, Immunity and Infections Rigshospitalet, University of Copenhagen, DK-2100 Copenhagen, Denmark
| | - Nikos Dedes
- European AIDS Treatment Group, 1000 Brussels, Belgium
| | - Elena Kuzovatova
- Nizhny Novgorod Scientific and Research Institute, 603155 Nizhny Novgorod, Russia
| | - Marc Van Der Valk
- Stichting HIV Monitoring, 1105 BD Amsterdam, The Netherlands
- Amsterdam University Medical Centers, University of Amsterdam, 1117 Amsterdam, The Netherlands
| | - Marianna Menozzi
- Modena HIV Cohort, Università Degli Studi Di Modena and Reggio Emilia, 41125 Modena, Italy
| | | | - Kathy Petoumenos
- Department of Infectious Diseases, Alfred Hospital and Monash University, Melbourne 3004, Australia
- The Australian HIV Observational Database (AHOD), Kirby Institute, UNSW, Sydney 2052, Australia
| | - Harmony Garges
- ViiV Healthcare, Research Triangle Park, Durham, NC 27709, USA
| | - Jim Rooney
- Gilead Science, Foster City, CA 94404, USA
| | | | - Jens D Lundgren
- CHIP, Centre of Excellence for Health, Immunity and Infections Rigshospitalet, University of Copenhagen, DK-2100 Copenhagen, Denmark
| | - Loveleen Bansi-Matharu
- Centre for Clinical Research, Epidemiology, Modelling and Evaluation, Institute for Global Health, University College London, London NW3 2PF, UK
| | - Amanda Mocroft
- CHIP, Centre of Excellence for Health, Immunity and Infections Rigshospitalet, University of Copenhagen, DK-2100 Copenhagen, Denmark
- Centre for Clinical Research, Epidemiology, Modelling and Evaluation, Institute for Global Health, University College London, London NW3 2PF, UK
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Abstract
OBJECTIVE Assessing whether the previously reported association between abacavir (ABC) and cardiovascular disease (CVD) remained amongst contemporarily treated people with HIV. DESIGN Multinational cohort collaboration. METHODS RESPOND participants were followed from the latest of 1 January 2012 or cohort enrolment until the first of a CVD event (myocardial infarction, stroke, invasive cardiovascular procedure), last follow-up or 31 December 2019. Logistic regression examined the odds of starting ABC by 5-year CVD or chronic kidney disease (CKD) D:A:D risk score. We assessed associations between recent ABC use (use within the past 6 months) and risk of CVD with negative binomial regression models, adjusted for potential confounders. RESULTS Of 29 340 individuals, 34% recently used ABC. Compared with those at low estimated CVD and CKD risks, the odds of starting ABC were significantly higher among individuals at high CKD risk [odds ratio 1.12 (95% confidence interval = 1.04-1.21)] and significantly lower for individuals at moderate, high or very high CVD risk [0.80 (0.72-0.88), 0.75 (0.64-0.87), 0.71 (0.56-0.90), respectively]. During 6.2 years of median follow-up (interquartile range; 3.87-7.52), there were 748 CVD events (incidence rate 4.7 of 1000 persons-years of follow up (4.3-5.0)]. The adjusted CVD incidence rate ratio was higher for individuals with recent ABC use [1.40 (1.20-1.64)] compared with individuals without, consistent across sensitivity analyses. The association did not differ according to estimated CVD (interaction P = 0.56) or CKD ( P = 0.98) risk strata. CONCLUSION Within RESPOND's contemporarily treated population, a significant association between CVD incidence and recent ABC use was confirmed and not explained by preferential ABC use in individuals at increased CVD or CKD risk.
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11
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Byonanebye DM, Polizzotto MN, Neesgaard B, Sarcletti M, Matulionyte R, Braun DL, Castagna A, de Wit S, Wit F, Fontas E, Vehreschild J, Vesterbacka J, Greenberg L, Hatleberg C, Garges H, Gallant J, Volny Anne A, Öllinger A, Mozer‐Lisewska I, Surial B, Spagnuolo V, Necsoi C, van der Valk M, Mocroft A, Law M, Ryom L, Petoumenos K. Incidence of hypertension in people with HIV who are treated with integrase inhibitors versus other antiretroviral regimens in the RESPOND cohort consortium. HIV Med 2022; 23:895-910. [PMID: 35233903 PMCID: PMC9545382 DOI: 10.1111/hiv.13273] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2021] [Revised: 01/30/2022] [Accepted: 02/03/2022] [Indexed: 01/17/2023]
Abstract
OBJECTIVE To compare the incidence of hypertension in people living with HIV receiving integrase strand transfer inhibitor (INSTI)-based antiretroviral therapy (ART) versus non-nucleoside reverse transcriptase inhibitors (NNRTIs) or boosted protease inhibitors (PIs) in the RESPOND consortium of HIV cohorts. METHODS Eligible people with HIV were aged ≥18 years who initiated a new three-drug ART regimen for the first time (baseline), did not have hypertension, and had at least two follow-up blood pressure (BP) measurements. Hypertension was defined as two consecutive systolic BP measurements ≥140 mmHg and/or diastolic BP ≥90 mmHg or initiation of antihypertensives. Multivariable Poisson regression was used to determine adjusted incidence rate ratios (aIRRs) of hypertension, overall and in those who were ART naïve or experienced at baseline. RESULTS Overall, 4606 people living with HIV were eligible (INSTIs 3164, NNRTIs 807, PIs 635). The median baseline systolic BP, diastolic BP, and age were 120 (interquartile range [IQR] 113-130) mmHg, 78 (70-82) mmHg, and 43 (34-50) years, respectively. Over 8380.4 person-years (median follow-up 1.5 [IQR 1.0-2.7] years), 1058 (23.0%) participants developed hypertension (incidence rate 126.2/1000 person-years, 95% confidence interval [CI] 118.9-134.1). Participants receiving INSTIs had a higher incidence of hypertension than those receiving NNRTIs (aIRR 1.76; 95% CI 1.47-2.11), whereas the incidence was no different in those receiving PIs (aIRR 1.07; 95% CI 0.89-1.29). The results were similar when the analysis was stratified by ART status at baseline. CONCLUSION Although unmeasured confounding and channelling bias cannot be excluded, INSTIs were associated with a higher incidence of hypertension than were NNRTIs, but rates were similar to those of PIs overall, in ART-naïve and ART-experienced participants within RESPOND.
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Affiliation(s)
- Dathan M. Byonanebye
- Kirby InstituteUniversity of New South WalesSydneyNew South WalesAustralia,School of Public HealthMakerere UniversityKampalaUganda
| | - Mark N. Polizzotto
- Kirby InstituteUniversity of New South WalesSydneyNew South WalesAustralia
| | - Bastian Neesgaard
- CHIPCentre of Excellence for Health, Immunity, and InfectionsRigshospitaletUniversity of CopenhagenCopenhagenDenmark
| | - Mario Sarcletti
- Department of Dermatology, Venerology and AllergologyMedical University InnsbruckInnsbruckAustria
| | - Raimonda Matulionyte
- Department of Infectious Diseases and DermatovenerologyFaculty of MedicineVilnius University Hospital Santaros KlinikosVilnius UniversityVilniusLithuania
| | - Dominique L. Braun
- Division of Infectious Diseases and Hospital EpidemiologySwitzerland Swiss HIV Cohort Study (SHCS)Institute of Medical VirologyUniversity Hospital ZurichUniversity of ZurichZurichSwitzerland
| | - Antonella Castagna
- San Raffaele Scientific InstituteUniversità Vita‐Salute San RaffaeleMilanoItaly
| | - Stéphane de Wit
- CHU Saint PierreInfectious DiseasesUniversité Libre de BruxellesBrusselsBelgium
| | - Ferdinand Wit
- AIDS Therapy Evaluation in the Netherlands (ATHENA) CohortHIV Monitoring FoundationAmsterdamThe Netherlands
| | - Eric Fontas
- Nice HIV CohortUniversité Côte d’Azur et Centre Hospitalier UniversitaireNiceFrance
| | - Jörg Janne Vehreschild
- Medical Department 2Hematology/OncologyUniversity Hospital of FrankfurtFrankfurtGermany,Department I for Internal MedicineUniversity Hospital of CologneCologneGermany
| | - Jan Vesterbacka
- Swedish InfCare HIV CohortKarolinska University HospitalHuddingeSweden
| | - Lauren Greenberg
- Centre for Clinical ResearchEpidemiology, Modelling and Evaluation (CREME)Institute for Global HealthUniversity College LondonLondonUK
| | - Camilla Hatleberg
- CHIPCentre of Excellence for Health, Immunity, and InfectionsRigshospitaletUniversity of CopenhagenCopenhagenDenmark
| | | | | | | | - Angela Öllinger
- CHIPCentre of Excellence for Health, Immunity, and InfectionsRigshospitaletUniversity of CopenhagenCopenhagenDenmark
| | | | - Bernard Surial
- Department of Infectious Diseases, InselspitalBern University HospitalUniversity of BernBernSwitzerland
| | - Vincenzo Spagnuolo
- San Raffaele Scientific InstituteUniversità Vita‐Salute San RaffaeleMilanoItaly
| | - Coca Necsoi
- CHU Saint PierreInfectious DiseasesUniversité Libre de BruxellesBrusselsBelgium
| | - Marc van der Valk
- AIDS Therapy Evaluation in the Netherlands (ATHENA) CohortHIV Monitoring FoundationAmsterdamThe Netherlands,Division of Infectious DiseasesDepartment of Internal MedicineAmsterdam Institute for Infection and ImmunityAmsterdam University Medical CentersUniversity of AmsterdamAmsterdamThe Netherlands
| | - Amanda Mocroft
- CHIPCentre of Excellence for Health, Immunity, and InfectionsRigshospitaletUniversity of CopenhagenCopenhagenDenmark,Centre for Clinical ResearchEpidemiology, Modelling and Evaluation (CREME)Institute for Global HealthUniversity College LondonLondonUK
| | - Matthew Law
- Kirby InstituteUniversity of New South WalesSydneyNew South WalesAustralia
| | - Lene Ryom
- CHIPCentre of Excellence for Health, Immunity, and InfectionsRigshospitaletUniversity of CopenhagenCopenhagenDenmark
| | - Kathy Petoumenos
- Kirby InstituteUniversity of New South WalesSydneyNew South WalesAustralia
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12
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Greenberg L, Ryom L, Neesgaard B, Miró JM, Dahlerup Rasmussen L, Zangerle R, Grabmeier-Pfistershammer K, Günthard HF, Kusejko K, Smith C, Mussini C, Menozzi M, Wit F, Van Der Valk M, d’Arminio Monforte A, De Wit S, Necsoi C, Pelchen-Matthews A, Lundgren J, Peters L, Castagna A, Muccini C, Vehreschild JJ, Pradier C, Bruguera Riera A, Sönnerborg A, Petoumenos K, Garges H, Rogatto F, Dedes N, Bansi-Matharu L, Mocroft A. Integrase strand transfer inhibitor use and cancer incidence in a large cohort setting. Open Forum Infect Dis 2022; 9:ofac029. [PMID: 35198646 PMCID: PMC8860165 DOI: 10.1093/ofid/ofac029] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2021] [Accepted: 01/14/2022] [Indexed: 11/21/2022] Open
Abstract
Background Limited data exist examining the association between incident cancer and cumulative integrase inhibitor (INSTI) exposure. Methods Participants were followed from baseline (latest of local cohort enrollment or January 1, 2012) until the earliest of first cancer, final follow-up, or December 31, 2019. Negative binomial regression was used to assess associations between cancer incidence and time-updated cumulative INSTI exposure, lagged by 6 months. Results Of 29 340 individuals, 74% were male, 24% were antiretroviral treatment (ART)-naive, and median baseline age was 44 years (interquartile range [IQR], 36–51). Overall, 13 950 (48%) individuals started an INSTI during follow-up. During 160 657 person-years of follow-up ([PYFU] median 6.2; IQR, 3.9–7.5), there were 1078 cancers (incidence rate [IR] 6.7/1000 PYFU; 95% confidence interval [CI], 6.3–7.1). The commonest cancers were non-Hodgkin lymphoma (n = 113), lung cancer (112), Kaposi’s sarcoma (106), and anal cancer (103). After adjusting for potential confounders, there was no association between cancer risk and INSTI exposure (≤6 months vs no exposure IR ratio: 1.15 [95% CI, 0.89–1.49], >6–12 months; 0.97 [95% CI, 0.71–1.32], >12–24 months; 0.84 [95% CI, 0.64–1.11], >24–36 months; 1.10 [95% CI, 0.82–1.47], >36 months; 0.90 [95% CI, 0.65–1.26] [P = .60]). In ART-naive participants, cancer incidence decreased with increasing INSTI exposure, mainly driven by a decreasing incidence of acquired immune deficiency syndrome cancers; however, there was no association between INSTI exposure and cancer for those ART-experienced (interaction P < .0001). Conclusions Cancer incidence in each INSTI exposure group was similar, despite relatively wide CIs, providing reassuring early findings that increasing INSTI exposure is unlikely to be associated with an increased cancer risk, although longer follow-up is needed to confirm this finding.
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Affiliation(s)
- Lauren Greenberg
- Centre for Clinical Research, Epidemiology, Modelling and Evaluation, Institute for Global Health, University College London, London, United Kingdom
- Correspondence: Lauren Greenberg, PhD, Centre for Clinical Research, Epidemiology, Modelling and Evaluation (CREME), Institute for Global Health, UCL, Rowland Hill Street, NW3 2PF, United Kingdom ()
| | - Lene Ryom
- CHIP, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | | | - Jose M Miró
- Hospital Clinic-IDIBAPS, University of Barcelona, Barcelona, Spain
| | | | - Robert Zangerle
- Austrian HIV Cohort Study (AHIVCOS), Medizinische Universität Innsbruck, Innsbruch, Austria
| | | | - Huldrych F Günthard
- 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
| | - Colette Smith
- Centre for Clinical Research, Epidemiology, Modelling and Evaluation, Institute for Global Health, University College London, London, United Kingdom
| | - Cristina Mussini
- Modena HIV Cohort, Università degli Studi di Modena, Modena, Italy
| | | | - Ferdinand Wit
- AIDS Therapy Evaluation in the Netherlands Cohort (ATHENA), HIV Monitoring Foundation, Amsterdam, the Netherlands
| | - Marc Van Der Valk
- AIDS Therapy Evaluation in the Netherlands Cohort (ATHENA), HIV Monitoring Foundation, Amsterdam, the Netherlands
- Department of Infectious Diseases, Amsterdam Infection and Immunity Institute, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | | | - Stéphane De Wit
- CHU Saint-Pierre, Infectious Diseases, Saint-PIerre University Hospital, Université Libre de Bruxelles, Brussels, Belgium
| | - Coca Necsoi
- CHU Saint-Pierre, Centre de Recherche en Maladies Infectieuses a.s.b.l., Brussels, Belgium
| | - Annegret Pelchen-Matthews
- Centre for Clinical Research, Epidemiology, Modelling and Evaluation, Institute for Global Health, University College London, London, United Kingdom
| | - Jens Lundgren
- CHIP, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - Lars Peters
- CHIP, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - Antonella Castagna
- San Raffaele Scientific Institute, Università Vita-Salute San Raffaele, Milano, Italy
| | - Camilla Muccini
- San Raffaele Scientific Institute, Università Vita-Salute San Raffaele, Milano, Italy
| | - Jörg Janne Vehreschild
- Medical Department 2, Hematology/Oncology, University Hospital of Frankfurt, Frankfurt, Germany
- Department I for Internal Medicine, University Hospital of Cologne, Cologne, Germany
| | - Christian Pradier
- Nice HIV Cohort, Université Côte d’Azur et Centre Hospitalier Universitaire, Nice, France
| | - Andreu Bruguera Riera
- PISCIS Cohort Study, Centre Estudis Epidemiologics de ITS i VIH de Catalunya, Badalona, Spain
| | - Anders Sönnerborg
- Swedish InfCare HIV Cohort, Karolinska University Hospital, Stockholm, Sweden
| | - Kathy Petoumenos
- The Australian HIV Observational Database (AHOD), UNSW, Sydney, Australia
| | - Harmony Garges
- ViiV Healthcare, Research Triangle Park, North Carolina, USA
| | | | - Nikos Dedes
- European AIDS Treatment Group, Brussels, Belgium
| | - Loveleen Bansi-Matharu
- Centre for Clinical Research, Epidemiology, Modelling and Evaluation, Institute for Global Health, University College London, London, United Kingdom
| | - Amanda Mocroft
- Centre for Clinical Research, Epidemiology, Modelling and Evaluation, Institute for Global Health, University College London, London, United Kingdom
- CHIP, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
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13
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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: 12] [Impact Index Per Article: 4.0] [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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Hatleberg CI, Ryom L, Sabin C. Cardiovascular risks associated with protease inhibitors for the treatment of HIV. Expert Opin Drug Saf 2021; 20:1351-1366. [PMID: 34047238 DOI: 10.1080/14740338.2021.1935863] [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] [Indexed: 01/16/2023]
Abstract
Introduction: Cumulative use of some first-generation protease inhibitors has been associated with higher rates of dyslipidemia and increased risk of cardiovascular disease. The protease inhibitors most commonly in use are atazanavir and darunavir, which have fewer detrimental lipid effects and greater tolerability. This paper aims to review the evidence of a potential association of these contemporary protease inhibitors with the risk of ischemic CVD and atherosclerotic markers.Areas covered: We searched for publications of randomized trials and observational studies on PubMed from 1 January 2000 onwards, using search terms including: protease inhibitors; darunavir; atazanavir; cardiovascular disease; cardiovascular events; dyslipidemia; mortality; carotid intima media thickness; arterial elasticity; arterial stiffness and drug discontinuation. Ongoing studies registered on clinicaltrials.gov as well as conference abstracts from major HIV conferences from 2015-2020 were also searched.Expert opinion: Atazanavir and darunavir are no longer part of first-line HIV treatment, but continue to be recommended as alternative first line, second- and third-line regimens, as part of two drug regimens, and darunavir is used as salvage therapy. Although these drugs will likely remain in use globally for several years to come, baseline CVD risk should be considered when considering their use, especially as the population with HIV ages.
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Affiliation(s)
- Camilla Ingrid Hatleberg
- Department of Infectious Diseases, Centre of Excellence for Health, Immunity and Infections (CHIP), Section 2100, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - Lene Ryom
- Department of Infectious Diseases, Centre of Excellence for Health, Immunity and Infections (CHIP), Section 2100, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - Caroline Sabin
- Centre for Clinical Research, Epidemiology, Modelling and Evaluation (CREME), Institute for Global Health,University College London, London, UK
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15
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Incidence of dyslipidemia in people with HIV who are treated with integrase inhibitors versus other antiretroviral agents. AIDS 2021; 35:869-882. [PMID: 33443370 DOI: 10.1097/qad.0000000000002811] [Citation(s) in RCA: 31] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
OBJECTIVE To compare the incidence of dyslipidemia in people with HIV receiving integrase inhibitors (INSTI) versus boosted protease inhibitors (PI/b) and nonnucleoside reverse transcriptase inhibitors (NNRTI) within RESPOND consortium of prospective cohorts. METHODS Participants were eligible if they were at least 18 years, without dyslipidemia and initiated or switched to a three-drug antiretroviral therapy (ART)-regimen consisting of either INSTI, NNRTI, or PI/b for the first time, between 1 January 2012 and 31 December 2018. Dyslipidemia was defined as random total cholesterol more than 240 mg/dl, HDL less than 35 mg/dl, triglyceride more than 200 mg/dl, or initiation of lipid-lowering therapy. Poisson regression was used to determine the adjusted incidence rate ratios. Follow-up was censored after 3 years or upon ART-regimen discontinuation or last lipid measurement or 31 December 2019, whichever occurred first. RESULTS Overall, 4577 people with HIV were eligible (INSTI = 66.9%, PI/b = 12.5%, and NNRTI = 20.6%), 1938 (42.3%) of whom were ART-naive. During 1.7 (interquartile range, 0.6-3.0) median years of follow-up, 1460 participants developed dyslipidemia [incidence rate: 191.6 per 1000 person-years, 95% confidence interval (CI) 182.0-201.7]. Participants taking INSTI had a lower incidence of dyslipidemia compared with those on PI/b (adjusted incidence rate ratio 0.71; CI 0.59-0.85), but higher rate compared with those on NNRTI (1.35; CI 1.15-1.58). Compared with dolutegravir, the incidence of dyslipidemia was higher with elvitegravir/cobicistat (1.20; CI 1.00-1.43) and raltegravir (1.24; CI 1.02-1.51), but lower with rilpivirine (0.77; CI 0.63-0.94). CONCLUSION In this large consortium of heterogeneous cohorts, dyslipidemia was less common with INSTI than with PI/b. Compared with dolutegravir, dyslipidemia was more common with elvitegravir/cobicistat and raltegravir, but less common with rilpivirine.
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Abstract
BACKGROUND It is unknown if the carcinogenic effect of smoking is influenced by CD4+ cell count and viral load in persons living with HIV. MATERIAL AND METHODS RESPOND participants with known smoking status were included. Poisson regression adjusting for baseline confounders investigated the interaction between current CD4+/viral load strata [good (CD4+ cell count ≥500 cells/μl and viral load <200 copies/ml], poor [CD4+ cell count ≤350 cells/μl and viral load >200 copies/ml] and intermediate [all other combinations]), smoking status and all cancers, non-AIDS defining cancers (NADCs), smoking-related cancers (SRCs) and infection-related cancers (IRCs). RESULTS Out of 19 602 persons, 41.3% were never smokers, 44.4% current and 14.4% previous smokers at baseline. CD4+/viral load strata were poor in 3.4%, intermediate in 44.8% and good in 51.8%. There were 513 incident cancers; incidence rate 6.9/1000 person-years of follow-up (PYFU) [95% confidence interval (95% CI) 6.3-7.5]. Current smokers had higher incidence of all cancer (adjusted incidence rate ratio 1.45; 1.17-1.79), NADC (1.65; 1.31-2.09), SRC (2.21; 1.53-3.20) and IRC (1.38; 0.97-1.96) vs. never smokers. Those with poor CD4+/viral load had increased incidence of all cancer (5.36; 95% CI 3.71-7.75), NADC (3.14; 1.92-5.14), SRC (1.82; 0.76-4.41) and IRC (10.21; 6.06-17.20) vs. those with good CD4+/viral load. There was no evidence that the association between smoking and cancer subtypes differed depending on the CD4+/viral load strata (P > 0.1, test for interaction). CONCLUSION In the large RESPOND consortium, the impact of smoking on cancer was clear and reducing smoking rates should remain a priority. The association between current immune deficiency, virological control and cancer was similar for never smokers, current smokers and previous smokers suggesting similar carcinogenic effects of smoking regardless of CD4+ cell count and viral load.
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17
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Neesgaard B, Mocroft A, Zangerle R, Wit F, Lampe F, Günthard HF, Necsoi C, Law M, Mussini C, Castagna A, Monforte AD, Pradier C, Chkhartisvilli N, Reyes-Uruena J, Vehreschild JJ, Wasmuth JC, Sönnerborg A, Stephan C, Greenberg L, Llibre JM, Volny-Anne A, Peters L, Pelchen-Matthews A, Vannappagari V, Gallant J, Rieger A, Youle M, Braun D, De Wit S, Petoumenos K, Borghi V, Spagnuolo V, Tsertsvadze T, Lundgren J, Ryom L. Virologic and immunologic outcomes of treatment with integrase inhibitors in a real-world setting: The RESPOND cohort consortium. PLoS One 2020; 15:e0243625. [PMID: 33382756 PMCID: PMC7774984 DOI: 10.1371/journal.pone.0243625] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2020] [Accepted: 11/24/2020] [Indexed: 11/18/2022] Open
Abstract
Objectives To compare virologic and immunologic outcomes of integrase inhibitor (INSTI)-containing, contemporary boosted protease inhibitor (PI/b)-containing and non-nucleotide reverse transcriptase inhibitor (NNRTI)-containing regimens in a real-life setting. Methods Using logistic regression, virologic and immunologic outcomes of INSTI use were compared to outcomes of PI/b or NNRTI treatment 12 months after treatment start or switch, for participants in the RESPOND cohort consortium. A composite treatment outcome (cTO) was used, defining success as viral load (VL) <200 copies/mL and failure as at least one of: VL ≥200 copies/mL, unknown VL in the time window, any changes of antiretroviral therapy (ART) regimen, AIDS, or death. In addition, on-treatment analysis including only individuals with known VL and no regimen changes was performed. Favorable immunologic response was defined as a 25% increase in CD4 count or as reaching ≥750 CD4 cells/μL. Results Between January 2012 and January 2019, 13,703 (33.0% ART-naïve) individuals were included, of whom 7,147 started/switched to a regimen with an INSTI, 3,102 to a PI/b and 3,454 to an NNRTI-containing regimen. The main reason for cTO failure in all treatment groups were changes in ART regimen. Compared to INSTIs, the adjusted odds ratio (aOR) of cTO success was significantly lower for PI/b (0.74 [95% confidence interval, CI 0.67–0.82], p <0.001), but similar for NNRTIs (1.07 [CI 0.97–1.17], p = 0.11). On-treatment analysis and sensitivity analyses using a VL cut-off of 50 copies/mL were consistent. Compared to INSTIs, the aORs of a 25% increase in CD4 count were lower for NNRTIs (0.80 [CI 0.71–0.91], p<0.001) and PI/b (0.87 [CI 0.76–0.99], p = 0.04). Conclusion In this large analysis of a real-world population, cTO and on-treatment success were similar between INSTIs and NNRTIs, but lower for PI/b, though residual confounding cannot be fully excluded. Obtaining favorable immunologic outcomes were more likely for INSTIs than the other drug classes.
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Affiliation(s)
- Bastian Neesgaard
- CHIP, Department of Infectious Diseases, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
- * E-mail:
| | - Amanda Mocroft
- Centre for Clinical Research, Epidemiology, Modelling and Evaluation (CREME), Institute for Global Health, University College London, London, United Kingdom
| | - Robert Zangerle
- Austrian HIV Cohort Study (AHIVCOS), Medizinische Universität Innsbruck, Innsbruck, Austria
| | - Ferdinand Wit
- AIDS Therapy Evaluation in the Netherlands Cohort (ATHENA), Stichting HIV Monitoring (SHM), Amsterdam, Netherlands
| | - Fiona Lampe
- Royal Free Hospital, University College London, London, United Kingdom
| | - Huldrych F. Günthard
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, Zurich, Switzerland
- Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Coca Necsoi
- CHU Saint-Pierre, Centre de Recherche en Maladies Infectieuses a.s.b.l., Brussels, Belgium
| | - Matthew Law
- The Australian HIV Observational Database (AHOD), UNSW, Sydney, Australia
| | - Cristina Mussini
- Modena HIV Cohort, Università degli Studi di Modena, Modena, Italy
| | - Antonella Castagna
- San Raffaele Scientific Institute, Università Vita-Salute San Raffaele, Milano, Italy
| | | | - Christian Pradier
- Nice HIV Cohort, Université Côte d’Azur et Centre Hospitalier Universitaire, Nice, France
| | | | - Juliana Reyes-Uruena
- PISCIS Cohort, Centre d’Estudis Epidemiològics sobre les Infeccions de Transmissió Sexual i Sida de Catalunya (CEEISCAT), CIBERESP, Badalona, Spain
| | - Jörg Janne Vehreschild
- Medical Department 2, Hematology/Oncology, University Hospital of Frankfurt, Frankfurt, Germany
- Department I for Internal Medicine, University Hospital of Cologne, Cologne, Germany
| | | | - Anders Sönnerborg
- Swedish InfCare HIV Cohort, Karolinska University Hospital, Stockholm, Sweden
| | - Christoph Stephan
- Infectious Diseases Unit, Medical Dept. no.2, Frankfurt University Hospital, Goethe-University, Frankfurt, Germany
| | - Lauren Greenberg
- Centre for Clinical Research, Epidemiology, Modelling and Evaluation (CREME), Institute for Global Health, University College London, London, United Kingdom
| | - Josep M. Llibre
- Infectious Diseases and Fight AIDS Foundation, Hospital Universitari Germans Trias i Pujol, Barcelona, Spain
| | | | - Lars Peters
- CHIP, Department of Infectious Diseases, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - Annegret Pelchen-Matthews
- Centre for Clinical Research, Epidemiology, Modelling and Evaluation (CREME), Institute for Global Health, University College London, London, United Kingdom
| | - Vani Vannappagari
- ViiV Healthcare, Research Triangle, North Carolina, United States of America
| | - Joel Gallant
- Gilead Sciences, Foster City, California, United States of America
| | - Armin Rieger
- Wiener Medizinische Universität, Vienna, Austria
| | - Mike Youle
- Royal Free Hospital, University College London, London, United Kingdom
| | - Dominique Braun
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, Zurich, Switzerland
- Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Stephane De Wit
- CHU Saint-Pierre, Centre de Recherche en Maladies Infectieuses a.s.b.l., Brussels, Belgium
| | - Kathy Petoumenos
- The Australian HIV Observational Database (AHOD), UNSW, Sydney, Australia
| | - Vanni Borghi
- Modena HIV Cohort, Università degli Studi di Modena, Modena, Italy
| | - Vincenzo Spagnuolo
- San Raffaele Scientific Institute, Università Vita-Salute San Raffaele, Milano, Italy
| | - Tengiz Tsertsvadze
- Infectious Diseases, AIDS and Clinical Immunology Research Center, Tbilisi, Georgia
| | - Jens Lundgren
- CHIP, Department of Infectious Diseases, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
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18
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Greenberg L, Ryom L, Neesgaard B, Wandeler G, Staub T, Gisinger M, Skoll M, Günthard HF, Scherrer A, Mussini C, Smith C, Johnson M, De Wit S, Necsoi C, Pradier C, Wit F, Lehmann C, d'Arminio Monforte A, Miró JM, Castagna A, Spagnuolo V, Sönnerborg A, Law M, Hutchinson J, Chkhartishvili N, Bolokadze N, Wasmuth JC, Stephan C, Vannappagari V, Rogatto F, Llibre JM, Duvivier C, Hoy J, Bloch M, Bucher HC, Calmy A, Volny Anne A, Pelchen-Matthews A, Lundgren JD, Peters L, Bansi-Matharu L, Mocroft A. Clinical outcomes of two-drug regimens vs. three-drug regimens in antiretroviral treatment-experienced people living with HIV. Clin Infect Dis 2020; 73:e2323-e2333. [PMID: 33354721 DOI: 10.1093/cid/ciaa1878] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2020] [Accepted: 12/17/2020] [Indexed: 01/01/2023] Open
Abstract
BACKGROUND Limited data exist comparing clinical outcomes of two-drug regimens (2DRs) and three-drug regimens (3DRs) in people living with HIV. METHODS Antiretroviral treatment-experienced individuals in RESPOND switching to a new 2DR or 3DR from 1/1/12-1/10/18 were included. The incidence of clinical events (AIDS, non-AIDS cancer, cardiovascular disease, end-stage liver and renal disease, death) was compared between regimens using Poisson regression. RESULTS Of 9791 individuals included, 1088 (11.1%) started 2DRs and 8703 (88.9%) 3DRs. The most common 2DRs were dolutegravir plus lamivudine (22.8%) and raltegravir plus boosted darunavir (19.8%); the most common 3DR was dolutegravir plus 2 nucleoside reverse transcriptase inhibitors (46.9%). Individuals on 2DRs were older (median 52.6 years [interquartile range 46.7-59.0] vs 47.7 [39.7-54.3]), and a higher proportion had ≥1 comorbidity (81.6% vs 73.9%).There were 619 events during 27,159 person-years of follow-up (PYFU): 540 (incidence rate [IR] 22.5/1000 PYFU [95% CI 20.7-24.5]) on 3DRs, 79 (30.9/1000 PYFU [24.8-38.5]) on 2DRs. The most common events were death (7.5/1000 PYFU [95% CI 6.5-8.6]) and non-AIDS cancer (5.8/1000 PYFU [4.9-6.8]). After adjustment for baseline demographic and clinical characteristics, there was a similar incidence of events on both regimen types (2DRs vs 3DRs IR ratio: 0.92 [0.72-1.19]; p=0.53). CONCLUSIONS This is the first large, international cohort assessing clinical outcomes on 2DRs. After accounting for baseline characteristics, there was a similar incidence of events on 2DRs and 3DRs. 2DRs appear to be a viable treatment option with regard to clinical outcomes; further research on resistance barriers and long-term durability of 2DRs is needed.
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Affiliation(s)
- Lauren Greenberg
- Centre for Clinical Research, Epidemiology, Modelling and Evaluation (CREME), Institute for Global Health, University College London, London, UK
| | - Lene Ryom
- CHIP, Department of Infectious Diseases, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - Bastian Neesgaard
- CHIP, Department of Infectious Diseases, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - Gilles Wandeler
- Department of Infectious Diseases, Bern University Hospital, University of Bern, Switzerland
| | - Therese Staub
- Infectious Diseases, CHL (Centre Hospitalier Luxembourg), Luxembourg
| | | | | | - Huldrych F Günthard
- Department of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, Zurich, Switzerland.,Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Alexandra Scherrer
- Department of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, Zurich, Switzerland.,Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Cristina Mussini
- Modena HIV Cohort, Università degli Studi di Modena, Modena, Italy
| | - Colette Smith
- The Royal Free HIV Cohort Study, Royal Free Hospital, University College London, London, United Kingdom
| | - Margaret Johnson
- The Royal Free HIV Cohort Study, Royal Free Hospital, University College London, London, United Kingdom
| | - Stéphane De Wit
- Saint Pierre University Hospital, Université Libre de Bruxelles, Brussels, Belgium
| | - Coca Necsoi
- Saint Pierre University Hospital, Université Libre de Bruxelles, Brussels, Belgium
| | - Christian Pradier
- Nice HIV Cohort, Université Côte d'Azur et Centre Hospitalier Universitaire, Nice, France
| | - Ferdinand Wit
- AIDS Therapy Evaluation in the Netherlands Cohort (ATHENA), Stichting HIV Monitoring (SHM), Amsterdam, Netherlands
| | | | | | - Jose M Miró
- Hospital Clinic-IDIBAPS. University of Barcelona, Barcelona, Spain
| | | | | | - Anders Sönnerborg
- Division of Infectious Diseases, Karolinska Institutet and Department of Infectious Diseases, Karolinska University Hospital, Sweden
| | - Matthew Law
- The Australian HIV Observational Database (AHOD), UNSW, Sydney Australia
| | - Jolie Hutchinson
- The Australian HIV Observational Database (AHOD), UNSW, Sydney Australia
| | - Nikoloz Chkhartishvili
- Georgian National AIDS Health Information System (AIDS HIS), Infectious Diseases, AIDS and Clinical Immunology Research Center, Tbilisi, Georgia
| | - Natalia Bolokadze
- Georgian National AIDS Health Information System (AIDS HIS), Infectious Diseases, AIDS and Clinical Immunology Research Center, Tbilisi, Georgia
| | | | - Christoph Stephan
- Medical Department no. 2, Infectious Diseases Unit, Goethe-University Hospital Frankfurt, Frankfurt a.M., Germany
| | | | | | - Josep M Llibre
- Hospital Universitari Germans Trias i Pujol · Department of Internal Medicine, HIV Unit, Barcelona, Spain
| | - Claudine Duvivier
- APHP-Hôpital Necker-Enfants Malades, Service de Maladies Infectieuses et Tropicales, Centre d'Infectiologie Necker-Pasteur, IHU Imagine, Paris, France
| | - Jennifer Hoy
- Department of Infectious Diseases, Alfred Hospital and Monash University, Melbourne, Victoria, Australia
| | - Mark Bloch
- The Australian HIV Observational Database (AHOD), UNSW, Sydney Australia
| | - Heiner C Bucher
- Department of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, Zurich, Switzerland
| | - Alexandra Calmy
- HIV/AIDS Unit in Geneva University Hospital, Geneva, Switzerland
| | | | - Annegret Pelchen-Matthews
- Centre for Clinical Research, Epidemiology, Modelling and Evaluation (CREME), Institute for Global Health, University College London, London, UK
| | - Jens D Lundgren
- CHIP, Department of Infectious Diseases, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - Lars Peters
- CHIP, Department of Infectious Diseases, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - Loveleen Bansi-Matharu
- Centre for Clinical Research, Epidemiology, Modelling and Evaluation (CREME), Institute for Global Health, University College London, London, UK
| | - Amanda Mocroft
- Centre for Clinical Research, Epidemiology, Modelling and Evaluation (CREME), Institute for Global Health, University College London, London, UK
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