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Nikitin BM, Bromberg DJ, Ivasiy R, Madden L, Machavariani E, Dvoriak S, Poole DN, Otiashvilli D, Altice FL. Disruptions to HIV Prevention During Armed Conflict in Ukraine and Other Settings. Curr HIV/AIDS Rep 2024; 22:10. [PMID: 39672977 PMCID: PMC11823171 DOI: 10.1007/s11904-024-00716-x] [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] [Accepted: 11/19/2024] [Indexed: 12/15/2024]
Abstract
PURPOSE OF REVIEW This review evaluates recent literature to understand the ways in which war disrupts HIV prevention and creates conditions for HIV outbreaks, with a focus on Ukraine. We also examine potential responses that can be deployed to sustain HIV prevention services amid ongoing conflict. RECENT FINDINGS Recent studies and frameworks suggest that disruptions caused during war are comparable to other emergencies, like natural disasters. The most important disruptions included health system/infrastructure destabilization, displacement, and psychological and financial challenges for individuals in key populations. Wars in most settings, as exemplified by the recent war in Ukraine, demonstrate that these disruptions can be tempered through a coordinated, rapid response. Lesson learned from Ukraine show that adequate preparation and a rapid, collaborative response by providers is needed to ensure HIV prevention during war. Future research should develop comprehensive frameworks outlining how to facilitate this response.
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Affiliation(s)
- Benjamin M Nikitin
- School of Public Health, AIDS Program, Yale University, New Haven, USA
- School of Medicine, Section of Infectious Diseases, Yale University, New Haven, CT, USA
- Icahn School of Medicine at Mount Sinai, New York City, United States
| | - Daniel J Bromberg
- School of Public Health, AIDS Program, Yale University, New Haven, USA
- School of Medicine, Section of Infectious Diseases, Yale University, New Haven, CT, USA
- Institute for Global Health, Heidelberg University, Heidelberg, Germany
- Heidelberg Institute of Global Health, Faculty of Medicine and University Hospital, Heidelberg University, Heidelberg, Germany
- Department of Psychiatry and Psychotherapy (Campus Charité Mitte), Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Roman Ivasiy
- School of Medicine, Section of Infectious Diseases, Yale University, New Haven, CT, USA
| | - Lynn Madden
- School of Public Health, AIDS Program, Yale University, New Haven, USA
- APT Foundation, New Haven, CT, USA
| | - Eteri Machavariani
- School of Medicine, Section of Infectious Diseases, Yale University, New Haven, CT, USA
| | | | - Danielle N Poole
- School of Public Health, AIDS Program, Yale University, New Haven, USA
- Institute for Global Health, Heidelberg University, Heidelberg, Germany
| | - David Otiashvilli
- School of Natural Sciences and Medicine, Ilia State University, Tbilisi, Georgia
- Addiction Research Center- Alternative Georgia, Tbilisi, Georgia
| | - Frederick L Altice
- School of Public Health, AIDS Program, Yale University, New Haven, USA.
- School of Medicine, Section of Infectious Diseases, Yale University, New Haven, CT, USA.
- APT Foundation, New Haven, CT, USA.
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Johnsen HM, Øgård-Repål A, Martinez SG, Fangen K, Bårdsen Aas K, Ersfjord EMI. Patients' perceptions of use, needs, and preferences related to a telemedicine solution for HIV care in a Norwegian outpatient clinic: a qualitative study. BMC Health Serv Res 2024; 24:209. [PMID: 38360650 PMCID: PMC10870609 DOI: 10.1186/s12913-024-10659-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2023] [Accepted: 01/30/2024] [Indexed: 02/17/2024] Open
Abstract
BACKGROUND Telemedicine in outpatient services for people living with human immunodeficiency virus (PLHIV) was scaled up during the COVID-19 pandemic as services transitioned to remote care. Many studies have reported on the challenges and advantages of telemedicine care during the pandemic. However, there is limited research on the provision of telemedicine human immunodeficiency virus (HIV) care beyond the COVID-19 pandemic, which entails different telemedicine components and focuses on ways to improve the telemedicine experience for patients. This study aimed to explore PLHIV's perceptions of use, needs, and preferences related to a telemedicine solution for HIV care in an outpatient clinic in Norway. The telemedicine solution included a pre-consultation questionnaire, asynchronous digital messages, and video consultation. METHODS Qualitative interviews were conducted with 12 PLHIV. The interviews were analysed using thematic analysis. RESULTS We identified four main themes that covered the participants' perceptions, needs, and preferences: (1) perceived usability, (2) maintaining confidentiality, (3) accommodating personal preferences, and (4) perceived usefulness. Some participants had difficulty logging into the telemedicine solution. Other participants suggested additional functionalities, such as picture sharing and access to test result. Telemedicine care enabled the avoidance of stigmatising clinic experiences, although a few participants reported concerns about confidentiality and data security. Accommodating personal preferences and needs in terms of the type of consultations (in-person or video) and frequency of visits was essential to the participants. With telemedicine care, participants felt more in control of their own lives, perceiving that it increased their perceived quality of life and saved them both time and money for travelling to the clinic. CONCLUSIONS Our study identified several specific needs and preferences related to the assessed technical solution and the provision of current and future telemedicine care services. Nevertheless, the telemedicine solution was perceived as a usable, flexible, and person-centred approach to HIV care, contributing to accommodating the participants' personal preferences. However, healthcare professionals need to ensure that individual requirements and preferences are consistent with evidence-based follow-up and supported by person-centred care. Thus, the practice of shared decision making is important in telemedicine care.
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Affiliation(s)
- Hege Mari Johnsen
- Department of Health and Nursing Science, Faculty of Health and Sport Sciences, University of Agder, 4898, Grimstad, PO Box 509, Norway.
| | - Anita Øgård-Repål
- Department of Health and Nursing Science, Faculty of Health and Sport Sciences, University of Agder, 4898, Grimstad, PO Box 509, Norway
| | - Santiago Gil Martinez
- Department of Health and Nursing Science, Faculty of Health and Sport Sciences, University of Agder, 4898, Grimstad, PO Box 509, Norway
| | - Kim Fangen
- Sørlandet Hospital, Kristiansand, Norway
| | | | - Ellen Margrete Iveland Ersfjord
- Department of Health and Nursing Science, Faculty of Health and Sport Sciences, University of Agder, 4898, Grimstad, PO Box 509, Norway
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Øgård-Repål A, Berg RC, Skogen V, Fossum M. "They make a difference": a qualitative study of providers' experiences of peer support in outpatient clinics for people living with HIV. BMC Health Serv Res 2022; 22:1380. [PMID: 36411443 PMCID: PMC9676711 DOI: 10.1186/s12913-022-08810-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2022] [Accepted: 11/08/2022] [Indexed: 11/22/2022] Open
Abstract
BACKGROUND Although the life expectancy of people living with HIV has increased, they are still often disconnected from society through stigma and discrimination. Peer support has been found to increase social support. Given the limited research on peer support from the providers' perspective, this study explored how peer supporters experience their roles and contributions in outpatient clinics (OPCs). Additionally, healthcare professionals' perceptions of working with peer supporters in OPCs were examined. METHODS: This qualitative study included purposively selected peer supporters (n = 10) and healthcare professionals (n = 5) from five OPCs in Norway in 2020. In-depth interviews and focus group discussions were conducted in Norwegian or English, using interview guides. Interview transcripts were analysed in NVivo 12 using reflexive and collaborative thematic analysis. RESULTS The results show that peer supporters experience mutual support through emotional and honest interactions. Further, the peer supporters found it essential to negotiate with the service users about their preconception of HIV, confront their views through dialogue, and replicate positive experiences by being credible role models. The participants expressed that integrating peer support in the OPCs' usual care processes increased the prospect of equitable services. Quality of peer support and role clarity were identified as critical components. The results demonstrate that emotional and honest conversations promote support between peers and that peer supporters identify a need for a reframed understanding of HIV by modelling plausible alternative interpretations and coping experiences. CONCLUSIONS This study contributes to knowledge on how peer support can meet the needs of people living with HIV. Incorporating people living with HIV in the co-production and distribution of healthcare services may improve the knowledge and perspectives in healthcare services. However, the skill standards of peer supporters should be addressed when implementing peer support in usual care.
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Affiliation(s)
- Anita Øgård-Repål
- grid.23048.3d0000 0004 0417 6230Centre for Caring Research, Department of Health and Nursing Science, University of Agder, Southern Norway, Grimstad, Aust-Agder, Norway
| | - Rigmor C. Berg
- grid.418193.60000 0001 1541 4204Reviews and Health Technology Assessments, Norwegian Institute of Public Health, Oslo, Norway ,grid.10919.300000000122595234Department of Community Medicine, University of Tromsø, The Arctic University of Norway, Tromsø, Norway
| | - Vegard Skogen
- grid.10919.300000000122595234Institute for Clinical Medicine, University of Tromsø, The Arctic University of Norway, Tromsø, Norway ,grid.412244.50000 0004 4689 5540Department of Infectious Diseases, Medical Clinic, University Hospital of North Norway, Tromsø, Norway
| | - Mariann Fossum
- grid.23048.3d0000 0004 0417 6230Centre for Caring Research, Department of Health and Nursing Science, University of Agder, Southern Norway, Grimstad, Aust-Agder, Norway
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Kohler S, Ndungwani R, Burgert M, Sibandze D, Matse S, Hettema A. The Costs of Creatinine Testing in the Context of a HIV Pre-Exposure Prophylaxis Demonstration Project in Eswatini. AIDS Behav 2022; 26:728-738. [PMID: 34409570 PMCID: PMC8840925 DOI: 10.1007/s10461-021-03432-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/07/2021] [Indexed: 12/04/2022]
Abstract
HIV treatment and prevention as well as other chronic disease care can require regular kidney function assessment based on a creatinine test. To assess the costs of creatinine testing in a public health care system, we conducted activity-based costing during a HIV pre-exposure prophylaxis (PrEP) demonstration project in the Hhohho region of Eswatini. Resource use was assessed by a laboratory technician and valued with government procurement prices, public sector salaries, and own cost estimates. Obtaining a blood sample in a clinic and performing a creatinine test in a high-throughput referral laboratory (> 660,000 blood tests, including > 120,000 creatinine tests, in 2018) were estimated to have cost, on average, $1.98 in 2018. Per test, $1.95 were variable costs ($1.38 personnel, ¢39 consumables, and ¢18 other costs) and ¢2.6 were allocated semi-fixed costs (¢1.1 laboratory equipment, ¢0.85 other, ¢0.45 consumables, and ¢1.3 personnel costs). Simulating different utilization of the laboratory indicated that semi-fixed costs of the laboratory (e.g., equipment purchase or daily calibration of the chemistry analyzer) contributed less than variable costs (e.g., per-test personnel time and test reagents) to the average creatinine test cost when certain minimum test numbers can be maintained. Our findings suggest, first, lower creatinine testing costs than previously used in cost and cost-effectiveness analyses of HIV services and, second, that investment in laboratory equipment imposed a relatively small additional cost on each performed test in the high-throughput referral laboratory.
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Affiliation(s)
- Stefan Kohler
- Faculty of Medicine and University Hospital, Heidelberg Institute of Global Health, Heidelberg University, Im Neuenheimer Feld 130.3, 69120, Heidelberg, Germany.
- Institute of Social Medicine, Epidemiology and Health Economics, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.
| | | | - Mark Burgert
- Clinton Health Access Initiative, Mbabane, Eswatini
| | | | - Sindy Matse
- Eswatini Ministry of Health, Mbabane, Eswatini
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Erdinc FS, Dokuzoguz B, Unal S, Komur S, Inkaya AC, Inan D, Karaoglan I, Deveci A, Celen MK, Kose S, Erben N, Senturk GC, Heper Y, Kutlu SS, Hatipoglu CA, Sumer S, Kandemir B, Sirmatel F, Bayindir Y, Yilmaz E, Ersoy Y, Kazak E, Yildirmak MT, Kayaaslan B, Ozden K, Sener A, Kara A, Gunal O, Birengel S, Akbulut A, Yetkin F, Cuvalci NO, Sargin F, Pullukcu H, Gokengin D, Multicentric Hiv Study Group. Temporal Trends in the Epidemiology of HIV in Turkey. Curr HIV Res 2021; 18:258-266. [PMID: 32342820 DOI: 10.2174/1570162x18666200427223823] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2019] [Revised: 04/03/2020] [Accepted: 04/14/2020] [Indexed: 01/07/2023]
Abstract
OBJECTIVE The aim of this study was to analyze the temporal trends of HIV epidemiology in Turkey from 2011 to 2016. METHODS Thirty-four teams from 28 centers at 17 different cities participated in this retrospective study. Participating centers were asked to complete a structured form containing questions about epidemiologic, demographic and clinical characteristics of patients presented with new HIV diagnosis between 2011 and 2016. Demographic data from all centers (complete or partial) were included in the analyses. For the cascade of care analysis, 15 centers that provided full data from 2011 to 2016 were included. Overall and annual distributions of the data were calculated as percentages and the Chi square test was used to determine temporal changes. RESULTS A total of 2,953 patients between 2011 and 2016 were included. Overall male to female ratio was 5:1 with a significant increase in the number of male cases from 2011 to 2016 (p<0.001). The highest prevalence was among those aged 25-34 years followed by the 35-44 age bracket. The most common reason for HIV testing was illness (35%). While the frequency of sex among men who have sex with men increased from 16% to 30.6% (p<0.001) over the study period, heterosexual intercourse (53%) was found to be the most common transmission route. Overall, 29% of the cases presented with a CD4 count of >500 cells/mm3 while 46.7% presented with a CD4 T cell count of <350 cells/mm3. Among newly diagnosed cases, 79% were retained in care, and all such cases initiated ART with 73% achieving viral suppression after six months of antiretroviral therapy. CONCLUSION The epidemiologic profile of HIV infected individuals is changing rapidly in Turkey with an increasing trend in the number of newly diagnosed people disclosing themselves as MSM. New diagnoses were mostly at a young age. The late diagnosis was found to be a challenging issue. Despite the unavailability of data for the first 90, Turkey is close to the last two steps of 90-90-90 targets.
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Affiliation(s)
- F S Erdinc
- Ankara Training and Research Hospital, Infectious Diseases and Clinical Microbiology, Ankara, Turkey
| | - B Dokuzoguz
- Ankara Numune Training and Researh Hospital, Infectious Diseases and Clinical Microbiology, Ankara, Turkey
| | - S Unal
- Hacettepe Universitesi Hastaneleri, Department of Infectious Diseases and Clinical Microbiology, Ankara, Turkey
| | - S Komur
- Cukurova University, Department of Infectious Diseases and Clinical Microbiology, Adana, Turkey
| | - A C Inkaya
- Ankara Numune Training and Researh Hospital, Infectious Diseases and Clinical Microbiology, Ankara, Turkey
| | - D Inan
- Akdeniz University, Department of Infectious Diseases and Clinical Microbiology, Antalya, Turkey
| | - I Karaoglan
- Gaziantep University, Department of Infectious Diseases and Clinical Microbiology, Gaziantep, Turkey
| | - A Deveci
- Ondokuz Mayis University, Department of Infectious Diseases and Clinical Microbiology, Samsun, Turkey
| | - M K Celen
- Dicle University, Department of Infectious Diseases and Clinical Microbiology, Diyarbakır, Turkey
| | - S Kose
- Izmir Tepecik Training and Research Hospital, Department of Infectious Diseases and Clinical Microbiology, İzmir, Turkey
| | - N Erben
- Eskisehir Osmangazi University Faculty of Medicine, Department of Infectious Diseases and Clinical Microbiology, Eskisehir, Turkey
| | - G C Senturk
- Diskapi Yildirim Beyazit Training and Research Hospital, Department of Infectious Diseases and Clinical Microbiology, Ankara, Turkey
| | - Y Heper
- Uludag University, Department of Infectious Diseases and Clinical Microbiology, Bursa, Turkey
| | - S S Kutlu
- Pamukkale University, Department of Infectious Diseases and Clinical Microbiology, Denizli, Turkey
| | - C A Hatipoglu
- Ankara Training and Research Hospital, Infectious Diseases and Clinical Microbiology, Ankara, Turkey
| | - S Sumer
- Selcuk University, Department of Infectious Diseases and Clinical Microbiology, Konya, Turkey
| | - B Kandemir
- Necmettin Erbakan University, Meram Medical Faculty Hospital, Department of Infectious Diseases and Clinical Microbiology, Konya, Turkey
| | - F Sirmatel
- Abant Izzet Baysal University, Department of Infectious Diseases and Clinical Microbiology, Bolu, Turkey
| | - Y Bayindir
- Inonu University, Department of Infectious Diseases and Clinical Microbiology, Malatya, Turkey
| | - E Yilmaz
- Uludag University, Department of Infectious Diseases and Clinical Microbiology, Bursa, Turkey
| | - Y Ersoy
- Inonu University, Department of Infectious Diseases and Clinical Microbiology, Malatya, Turkey
| | - E Kazak
- Uludag University, Department of Infectious Diseases and Clinical Microbiology, Bursa, Turkey
| | - M T Yildirmak
- Okmeydani Training and Research Hospital, Department of Infectious Diseases and Clinical Microbiology, Istanbul, Turkey
| | - B Kayaaslan
- Yildirim Beyazit University Faculty of Medicine, Department of Infectious Diseases and Clinical Microbiology, Ankara, Turkey
| | - K Ozden
- Ataturk University, Department of Infectious Diseases and Clinical Microbiology, Erzurum, Turkey
| | - A Sener
- Canakkale Onsekiz Mart University, Department of Infectious Diseases and Clinical Microbiology, Canakkale, Turkey
| | - A Kara
- Hacettepe University Ihsan Dogramaci Children's Hospital, Department of Infectious Diseases, Ankara, Turkey
| | - O Gunal
- Samsun Training and Research Hospital, Department of Infectious Diseases and Clinical Microbiology, Samsun, Turkey
| | - S Birengel
- Ankara University Faculty of Medicine, Department of Infectious Diseases and Clinical Microbiology, Ankara, Turkey
| | - A Akbulut
- Firat University, Department of Infectious Diseases and Clinical Microbiology, Elazig, Turkey
| | - F Yetkin
- Inonu University, Department of Infectious Diseases and Clinical Microbiology, Malatya, Turkey
| | - N O Cuvalci
- Antalya Training and Research Hospital, Department of Infectious Diseases and Clinical Microbiology, Antalya, Turkey
| | - F Sargin
- Medeniyet University Goztepe Training and Research Hospital, Department of Infectious Diseases and Clinical Microbiology, Istanbul, Turkey
| | - H Pullukcu
- Ege University, Department of Infectious Diseases and Clinical Microbiology, Izmir, Turkey
| | - D Gokengin
- Ege University, Department of Infectious Diseases and Clinical Microbiology, Izmir, Turkey
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Chimukangara B, Lessells RJ, Rhee SY, Giandhari J, Kharsany AB, Naidoo K, Lewis L, Cawood C, Khanyile D, Ayalew KA, Diallo K, Samuel R, Hunt G, Vandormael A, Stray-Pedersen B, Gordon M, Makadzange T, Kiepiela P, Ramjee G, Ledwaba J, Kalimashe M, Morris L, Parikh UM, Mellors JW, Shafer RW, Katzenstein D, Moodley P, Gupta RK, Pillay D, Abdool Karim SS, de Oliveira T. Trends in Pretreatment HIV-1 Drug Resistance in Antiretroviral Therapy-naive Adults in South Africa, 2000-2016: A Pooled Sequence Analysis. EClinicalMedicine 2019; 9:26-34. [PMID: 31143879 PMCID: PMC6510720 DOI: 10.1016/j.eclinm.2019.03.006] [Citation(s) in RCA: 53] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/10/2018] [Revised: 03/01/2019] [Accepted: 03/05/2019] [Indexed: 12/22/2022] Open
Abstract
BACKGROUND South Africa has the largest public antiretroviral therapy (ART) programme in the world. We assessed temporal trends in pretreatment HIV-1 drug resistance (PDR) in ART-naïve adults from South Africa. METHODS We included datasets from studies conducted between 2000 and 2016, with HIV-1 pol sequences from more than ten ART-naïve adults. We analysed sequences for the presence of 101 drug resistance mutations. We pooled sequences by sampling year and performed a sequence-level analysis using a generalized linear mixed model, including the dataset as a random effect. FINDINGS We identified 38 datasets, and retrieved 6880 HIV-1 pol sequences for analysis. The pooled annual prevalence of PDR remained below 5% until 2009, then increased to a peak of 11·9% (95% confidence interval (CI) 9·2-15·0) in 2015. The pooled annual prevalence of non-nucleoside reverse-transcriptase inhibitor (NNRTI) PDR remained below 5% until 2011, then increased to 10.0% (95% CI 8.4-11.8) by 2014. Between 2000 and 2016, there was a 1.18-fold (95% CI 1.13-1.23) annual increase in NNRTI PDR (p < 0.001), and a 1.10-fold (95% CI 1.05-1.16) annual increase in nucleoside reverse-transcriptase inhibitor PDR (p = 0.001). INTERPRETATION Increasing PDR in South Africa presents a threat to the efforts to end the HIV/AIDS epidemic. These findings support the recent decision to modify the standard first-line ART regimen, but also highlights the need for broader public health action to prevent the further emergence and transmission of drug-resistant HIV. SOURCE OF FUNDING This research project was funded by the South African Medical Research Council (MRC) with funds from National Treasury under its Economic Competitiveness and Support Package. DISCLAIMER The contents of this publication are solely the responsibility of the authors and do not necessarily represent the official views of CDC.
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Affiliation(s)
- Benjamin Chimukangara
- KwaZulu-Natal Research Innovation and Sequencing Platform (KRISP), Department of Laboratory Medicine & Medical Sciences, University of KwaZulu-Natal, Durban, South Africa
- Centre for the AIDS Programme of Research in South Africa (CAPRISA), Doris Duke Medical Research Institute, Nelson R Mandela School of Medicine, University of KwaZulu-Natal, Durban, South Africa
- Department of Virology, National Health Laboratory Service, University of KwaZulu-Natal, Durban, South Africa
- Corresponding authors at: KwaZulu-Natal Research Innovation and Sequencing Platform (KRISP), Department of Laboratory Medicine & Medical Science, University of KwaZulu-Natal, 719 Umbilo Road, Durban 4001, South Africa.
| | - Richard J. Lessells
- KwaZulu-Natal Research Innovation and Sequencing Platform (KRISP), Department of Laboratory Medicine & Medical Sciences, University of KwaZulu-Natal, Durban, South Africa
- Centre for the AIDS Programme of Research in South Africa (CAPRISA), Doris Duke Medical Research Institute, Nelson R Mandela School of Medicine, University of KwaZulu-Natal, Durban, South Africa
| | - Soo-Yon Rhee
- Department of Medicine, Stanford University, Stanford, CA, United States of America
| | - Jennifer Giandhari
- KwaZulu-Natal Research Innovation and Sequencing Platform (KRISP), Department of Laboratory Medicine & Medical Sciences, University of KwaZulu-Natal, Durban, South Africa
| | - Ayesha B.M. Kharsany
- Centre for the AIDS Programme of Research in South Africa (CAPRISA), Doris Duke Medical Research Institute, Nelson R Mandela School of Medicine, University of KwaZulu-Natal, Durban, South Africa
| | - Kogieleum Naidoo
- Centre for the AIDS Programme of Research in South Africa (CAPRISA), Doris Duke Medical Research Institute, Nelson R Mandela School of Medicine, University of KwaZulu-Natal, Durban, South Africa
- South African Medical Research Council (SAMRC)-CAPRISA HIV-TB Pathogenesis and Treatment Research Unit, Durban, South Africa
| | - Lara Lewis
- Centre for the AIDS Programme of Research in South Africa (CAPRISA), Doris Duke Medical Research Institute, Nelson R Mandela School of Medicine, University of KwaZulu-Natal, Durban, South Africa
| | - Cherie Cawood
- Epicentre AIDS Risk Management (Pty) Limited, PO Box 3484, Paarl, Cape Town, South Africa
| | - David Khanyile
- Epicentre AIDS Risk Management (Pty) Limited, PO Box 3484, Paarl, Cape Town, South Africa
| | | | - Karidia Diallo
- Centers for Disease Control and Prevention, Pretoria, South Africa
| | - Reshmi Samuel
- Department of Virology, National Health Laboratory Service, University of KwaZulu-Natal, Durban, South Africa
| | - Gillian Hunt
- Centre for HIV and STIs, National Institute for Communicable Diseases (NICD), Johannesburg, South Africa
- Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Alain Vandormael
- KwaZulu-Natal Research Innovation and Sequencing Platform (KRISP), Department of Laboratory Medicine & Medical Sciences, University of KwaZulu-Natal, Durban, South Africa
- School of Nursing and Public Health, University of KwaZulu-Natal, Durban, South Africa
| | - Babill Stray-Pedersen
- Institute of Clinical Medicine, University of Oslo, Oslo University Hospital, Oslo, Norway
| | - Michelle Gordon
- KwaZulu-Natal Research Innovation and Sequencing Platform (KRISP), Department of Laboratory Medicine & Medical Sciences, University of KwaZulu-Natal, Durban, South Africa
| | - Tariro Makadzange
- Ragon Institute of Massachusetts General Hospital, Massachusetts Institute of Technology and Harvard, Cambridge, MA, United States of America
| | - Photini Kiepiela
- HIV Prevention Research Unit, Medical Research Council, Durban, South Africa
| | - Gita Ramjee
- HIV Prevention Research Unit, Medical Research Council, Durban, South Africa
| | - Johanna Ledwaba
- Centre for HIV and STIs, National Institute for Communicable Diseases (NICD), Johannesburg, South Africa
| | - Monalisa Kalimashe
- Centre for HIV and STIs, National Institute for Communicable Diseases (NICD), Johannesburg, South Africa
| | - Lynn Morris
- Centre for the AIDS Programme of Research in South Africa (CAPRISA), Doris Duke Medical Research Institute, Nelson R Mandela School of Medicine, University of KwaZulu-Natal, Durban, South Africa
- Centre for HIV and STIs, National Institute for Communicable Diseases (NICD), Johannesburg, South Africa
- Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Urvi M. Parikh
- Department of Infectious Diseases, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States of America
| | - John W. Mellors
- Department of Infectious Diseases, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States of America
| | - Robert W. Shafer
- Department of Medicine, Stanford University, Stanford, CA, United States of America
| | - David Katzenstein
- Department of Medicine, Stanford University, Stanford, CA, United States of America
| | - Pravi Moodley
- Department of Virology, National Health Laboratory Service, University of KwaZulu-Natal, Durban, South Africa
| | - Ravindra K. Gupta
- Department of Infection, University College London, United Kingdom of Great Britain and Northern Ireland
- Africa Health Research Institute, University of KwaZulu-Natal, Durban, South Africa
| | - Deenan Pillay
- Department of Infection, University College London, United Kingdom of Great Britain and Northern Ireland
- Africa Health Research Institute, University of KwaZulu-Natal, Durban, South Africa
| | - Salim S. Abdool Karim
- Centre for the AIDS Programme of Research in South Africa (CAPRISA), Doris Duke Medical Research Institute, Nelson R Mandela School of Medicine, University of KwaZulu-Natal, Durban, South Africa
| | - Tulio de Oliveira
- KwaZulu-Natal Research Innovation and Sequencing Platform (KRISP), Department of Laboratory Medicine & Medical Sciences, University of KwaZulu-Natal, Durban, South Africa
- Centre for the AIDS Programme of Research in South Africa (CAPRISA), Doris Duke Medical Research Institute, Nelson R Mandela School of Medicine, University of KwaZulu-Natal, Durban, South Africa
- Corresponding authors at: KwaZulu-Natal Research Innovation and Sequencing Platform (KRISP), Department of Laboratory Medicine & Medical Science, University of KwaZulu-Natal, 719 Umbilo Road, Durban 4001, South Africa.
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7
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Chimukangara B, Kharsany AB, Lessells RJ, Naidoo K, Rhee SY, Manasa J, Gräf T, Lewis L, Cawood C, Khanyile D, Diallo K, Ayalew KA, Shafer RW, Hunt G, Pillay D, Abdool SK, de Oliveira T. Moderate-to-High Levels of Pretreatment HIV Drug Resistance in KwaZulu-Natal Province, South Africa. AIDS Res Hum Retroviruses 2019; 35:129-138. [PMID: 30430843 DOI: 10.1089/aid.2018.0202] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023] Open
Abstract
There is evidence of increasing levels of pretreatment HIV drug resistance (PDR) in Southern Africa. We used data from two large population-based HIV surveillance studies to estimate prevalence of PDR in KwaZulu-Natal, the province with the highest HIV prevalence in South Africa. Sanger sequencing was performed on samples obtained from a longitudinal HIV surveillance program (study A, 2013-2014) and the HIV Incidence Provincial Surveillance System (study B, 2014-2015). Sequences were included for adult HIV positive participants (age ≥15 years for study A, age 15-49 years for study B) with no documented prior exposure to antiretroviral therapy (ART). Overall and drug class-specific PDR was estimated using the World Health Organization 2009 surveillance drug resistance mutation (SDRM) list, and phylogenetic analysis was performed to establish evidence of drug resistance transmission linkage. A total of 1,845 sequences were analyzed (611 study A; 1,234 study B). An overall PDR prevalence of 9.2% [95% confidence interval (CI) 7.0-11.7] was observed for study A and 11.0% (95% CI 8.9-13.2) for study B. In study B, the prevalence of non-nucleoside reverse-transcriptase inhibitor (NNRTI) PDR exceeded 10% for sequences collected in 2014 (10.2%, 95% CI 7.5-12.9). The most prevalent SDRMs were K103NS (7.5%), M184VI (2.4%), and V106AM (1.4%). There was no evidence of large transmission chains of drug-resistant virus. High level NNRTI PDR (>10%) suggests a need to modify the standard first-line ART regimen and to focus attention on improving the quality of HIV prevention, treatment, and care.
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Affiliation(s)
- Benjamin Chimukangara
- KwaZulu-Natal Research Innovation and Sequencing Platform (KRISP), School of Laboratory Medicine and Medical Sciences, University of KwaZulu-Natal, Durban, South Africa
- Centre for the AIDS Programme of Research in South Africa (CAPRISA), Doris Duke Medical Research Institute, Nelson R Mandela School of Medicine, University of KwaZulu-Natal, Durban, South Africa
- Department of Virology, National Health Laboratory Service, University of KwaZulu-Natal, Durban, South Africa
| | - Ayesha B.M. Kharsany
- Centre for the AIDS Programme of Research in South Africa (CAPRISA), Doris Duke Medical Research Institute, Nelson R Mandela School of Medicine, University of KwaZulu-Natal, Durban, South Africa
| | - Richard J. Lessells
- KwaZulu-Natal Research Innovation and Sequencing Platform (KRISP), School of Laboratory Medicine and Medical Sciences, University of KwaZulu-Natal, Durban, South Africa
| | - Kogieleum Naidoo
- Centre for the AIDS Programme of Research in South Africa (CAPRISA), Doris Duke Medical Research Institute, Nelson R Mandela School of Medicine, University of KwaZulu-Natal, Durban, South Africa
| | - Soo-Yon Rhee
- Department of Medicine, Stanford University, Stanford, California
| | - Justen Manasa
- Department of Medicine, University of Zimbabwe College of Health Sciences, Harare, Zimbabwe
| | - Tiago Gräf
- KwaZulu-Natal Research Innovation and Sequencing Platform (KRISP), School of Laboratory Medicine and Medical Sciences, University of KwaZulu-Natal, Durban, South Africa
| | - Lara Lewis
- Centre for the AIDS Programme of Research in South Africa (CAPRISA), Doris Duke Medical Research Institute, Nelson R Mandela School of Medicine, University of KwaZulu-Natal, Durban, South Africa
| | - Cherie Cawood
- Epicentre AIDS Risk Management (Pty) Limited, Paarl, Cape Town, South Africa
| | - David Khanyile
- Epicentre AIDS Risk Management (Pty) Limited, Paarl, Cape Town, South Africa
| | - Karidia Diallo
- Centers for Disease Control and Prevention (CDC), Pretoria, South Africa
| | - Kassahun A. Ayalew
- Centers for Disease Control and Prevention (CDC), Pretoria, South Africa
| | - Robert W. Shafer
- Department of Medicine, Stanford University, Stanford, California
| | - Gillian Hunt
- Centre for HIV and STIs, National Institute for Communicable Diseases (NICD), Johannesburg, South Africa
- Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Deenan Pillay
- Africa Health Research Institute, KwaZulu-Natal, South Africa
- Division of Infection and Immunity, University College London, London, United Kingdom
| | - Salim Karim Abdool
- Centre for the AIDS Programme of Research in South Africa (CAPRISA), Doris Duke Medical Research Institute, Nelson R Mandela School of Medicine, University of KwaZulu-Natal, Durban, South Africa
| | - Tulio de Oliveira
- KwaZulu-Natal Research Innovation and Sequencing Platform (KRISP), School of Laboratory Medicine and Medical Sciences, University of KwaZulu-Natal, Durban, South Africa
- Centre for the AIDS Programme of Research in South Africa (CAPRISA), Doris Duke Medical Research Institute, Nelson R Mandela School of Medicine, University of KwaZulu-Natal, Durban, South Africa
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Lesosky M, Glass T, Mukonda E, Hsiao NY, Abrams EJ, Myer L. Optimal timing of viral load monitoring during pregnancy to predict viraemia at delivery in HIV-infected women initiating ART in South Africa: a simulation study. J Int AIDS Soc 2018; 20 Suppl 7. [PMID: 29171179 PMCID: PMC5978661 DOI: 10.1002/jia2.25000] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2017] [Accepted: 08/21/2017] [Indexed: 01/15/2023] Open
Abstract
Introduction HIV viral load (VL) monitoring is a central tool to evaluate ART effectiveness and transmission risk. There is a global movement to expand VL monitoring following recent recommendations from the World Health Organization (WHO), but there has been little research into VL monitoring in pregnant women. We investigated one important question in this area: when and how frequently VL should be monitored in women initiating ART during pregnancy to predict VL at the time of delivery in a simulated South African population. Methods We developed a mathematical model simulating VL from conception through delivery using VL data from the Maternal and Child Health – Antiretroviral Therapy (MCH‐ART) cohort. VL was modelled based on three major compartments: pre‐ART VL, viral decay immediately after ART initiation and viral maintenance (including viral suppression and viraemic episodes). Using this simulation, we examined the performance of various VL monitoring schema in predicting elevated VL at delivery. Results and discussion If WHO guidelines for non‐pregnant adults were used, the majority of HIV‐infected pregnant women (69%) would not receive a VL test during pregnancy. Most models that based VL monitoring in pregnancy on the time elapsed since ART initiation (regardless of gestation) performed poorly (sensitivity <50%); models that based VL measures in pregnancy on the woman's gestation (regardless of time on ART) appeared to perform better overall (sensitivity >60%). Across all permutations, inclusion of pre‐ART VL values had a negligible impact on predictive performance (improving test sensitivity and specificity <6%). Performance of VL monitoring in predicting VL at delivery generally improved at later gestations, with the best performing option a single VL measure at 36 weeks’ gestation. Conclusions Development and evaluation of a novel simulation model suggests that strategies to measure VL relative to gestational age may be more useful than strategies relative to duration on ART, in women initiating ART during pregnancy, supporting better integration of maternal and HIV health services. Testing turnaround times require careful consideration, and point‐of‐care VL testing may be the best approach for measuring VL at delivery. Broadening the scope of this simulation model in the light of current scale up of VL monitoring in high burden countries is important.
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Affiliation(s)
- Maia Lesosky
- Division of Epidemiology & Biostatistics, School of Public Health & Family Medicine, University of Cape Town, Cape Town, South Africa
| | - Tracy Glass
- Division of Epidemiology & Biostatistics, School of Public Health & Family Medicine, University of Cape Town, Cape Town, South Africa
| | - Elton Mukonda
- Division of Epidemiology & Biostatistics, School of Public Health & Family Medicine, University of Cape Town, Cape Town, South Africa
| | - Nei-Yuan Hsiao
- National Health Laboratory Services, Cape Town, South Africa.,Division of Medical Virology, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa
| | - Elaine J Abrams
- ICAP, Mailman School of Public Health, Columbia University, New York, NY, USA.,College of Physicians & Surgeons, Columbia University, New York, NY, USA
| | - Landon Myer
- Division of Epidemiology & Biostatistics, School of Public Health & Family Medicine, University of Cape Town, Cape Town, South Africa.,Centre for Infectious Disease Epidemiology & Research, School of Public Health & Family Medicine, University of Cape Town, Cape Town, South Africa
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9
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Vázquez-Morón S, Ryan P, Ardizone-Jiménez B, Martín D, Troya J, Cuevas G, Valencia J, Jimenez-Sousa MA, Avellón A, Resino S. Evaluation of dried blood spot samples for screening of hepatitis C and human immunodeficiency virus in a real-world setting. Sci Rep 2018; 8:1858. [PMID: 29382904 PMCID: PMC5789840 DOI: 10.1038/s41598-018-20312-5] [Citation(s) in RCA: 30] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2017] [Accepted: 01/15/2018] [Indexed: 01/05/2023] Open
Abstract
Both hepatitis C virus (HCV) infection and human immunodeficiency virus (HIV) infection are underdiagnosed, particularly in low-income countries and in difficult-to-access populations. Our aim was to develop and evaluate a methodology for the detection of HCV and HIV infection based on capillary dry blood spot (DBS) samples taken under real-world conditions. We carried out a cross-sectional study of 139 individuals (31 healthy controls, 68 HCV-monoinfected patients, and 40 HCV/HIV-coinfected patients). ELISA was used for anti-HCV and anti-HIV antibody detection; and SYBR Green RT-PCR was used for HCV-RNA detection. The HIV serological analysis revealed 100% sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV). The HCV serological analysis revealed a sensitivity of 92.6%, specificity of 100%, PPV of 100%, and NPV of 79.5%. Finally, the HCV-RNA detection test revealed a detection limit of 5 copies/µl with an efficiency of 100% and sensitivity of 99.1%, specificity of 100%, PPV of 100%, and NPV of 96.9%. In conclusion, our methodology was able to detect both HCV infection and HIV infection from the same DBS sample with good diagnostic performance. Screening for HCV and HIV using DBS might be a key strategy in the implementation of national programs for the control of both infections.
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Affiliation(s)
- Sonia Vázquez-Morón
- Laboratorio de Referencia e Investigación en Hepatitis Víricas, Centro Nacional de Microbiología, Instituto de Salud Carlos III, Majadahonda, Madrid, Spain.
| | - Pablo Ryan
- Hospital Universitario Infanta Leonor (HUIL), Vallecas, Madrid, Spain
| | - Beatriz Ardizone-Jiménez
- Laboratorio de Referencia e Investigación en Hepatitis Víricas, Centro Nacional de Microbiología, Instituto de Salud Carlos III, Majadahonda, Madrid, Spain
| | | | - Jesus Troya
- Hospital Universitario Infanta Leonor (HUIL), Vallecas, Madrid, Spain
| | - Guillermo Cuevas
- Hospital Universitario Infanta Leonor (HUIL), Vallecas, Madrid, Spain
| | | | - María A Jimenez-Sousa
- Laboratorio de Referencia e Investigación en Hepatitis Víricas, Centro Nacional de Microbiología, Instituto de Salud Carlos III, Majadahonda, Madrid, Spain
| | - Ana Avellón
- Laboratorio de Referencia e Investigación en Hepatitis Víricas, Centro Nacional de Microbiología, Instituto de Salud Carlos III, Majadahonda, Madrid, Spain
| | - Salvador Resino
- Laboratorio de Referencia e Investigación en Hepatitis Víricas, Centro Nacional de Microbiología, Instituto de Salud Carlos III, Majadahonda, Madrid, Spain
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