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Chen M, Liu C, Xie J, Tang X, Zhang Y, Pan D, Zhong H, Du P, Li Q, Li L, Gu J, Cai W. Effectiveness of integrase strand transfer inhibitors among treatment-naive people living with HIV/AIDS in Guangdong, China: A real-world, retrospective cohort study. Medicine (Baltimore) 2024; 103:e38497. [PMID: 38847660 PMCID: PMC11155602 DOI: 10.1097/md.0000000000038497] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/21/2024] [Accepted: 05/16/2024] [Indexed: 06/10/2024] Open
Abstract
Integrase strand transfer inhibitors (INSTIs) in anti-retroviral therapy (ART) have been recommended by the World Health Organization for their higher efficacy, favorable safety and tolerability. However, the clinical evidence supporting switching to INSTI-containing regimens in low-and-middle-income countries (LMICs) is limited, as few patients have access to these regimens. We aimed to assess the effectiveness of INSTI-containing regimens in real-world settings in China compared to government-provided free ART. We compared the short-term (first 4 mo following ART initiation) and long-term (1 year after ART initiation) effectiveness between INSTI-containing regimens and free ART drugs provided by the Chinese government in 4 dimensions: viral suppression status, immune response, liver and kidney function, and AIDS-related diseases. We obtained data from electronic medical records in the National Infectious Disease Surveillance System. To control baseline confounders, we used propensity score matching (PSM), calculated using logistic regression including socio-demographic and baseline factors. Among 12,836 patients from 2012 to 2019, 673 (5.2%) used INSTI-containing regimens. Patients with INSTI-containing regimens were matched to those with free drugs (644 vs 644). For short-term effectiveness, patients initiating INSTI-containing regimens were more likely to achieve viral suppression (81.4% vs 52.0%; P < .001). The differences in immune response, liver and kidney function and AIDS-related diseases were not significant between the 2 groups. For long-term effectiveness, viral suppression rates were similar (87.96% vs 84.59%; P = .135), with no significant differences in immune response, liver and kidney function, or AIDS-related diseases. Our study suggests that patients initiating ART with INSTI-containing regimens have worse physical status at baseline than patients starting with free ART drugs. Furthermore, we found better virological performances of INSTI-containing regimens in the short-term but not in the long-term due to a high rate of drug changes. Our findings have clinical implications and provide new evidence regarding the effectiveness of INSTI-containing regimens in LMICs.
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Affiliation(s)
- Mingyu Chen
- Department of Medical Statistics, School of Public Health, Sun Yat-Sen University, Guangzhou, China
| | - Cong Liu
- Infectious Disease Center, Guangzhou Eighth People’s Hospital, Guangzhou Medical University, Guangzhou, China
| | - Jinzhao Xie
- Department of Medical Statistics, School of Public Health, Sun Yat-Sen University, Guangzhou, China
| | - Xiaoping Tang
- Infectious Disease Center, Guangzhou Eighth People’s Hospital, Guangzhou Medical University, Guangzhou, China
| | - Yao Zhang
- Department of Medical Statistics, School of Public Health, Sun Yat-Sen University, Guangzhou, China
| | - Deng Pan
- Department of Medical Statistics, School of Public Health, Sun Yat-Sen University, Guangzhou, China
| | - Haidan Zhong
- Infectious Disease Center, Guangzhou Eighth People’s Hospital, Guangzhou Medical University, Guangzhou, China
| | - Peishan Du
- Infectious Disease Center, Guangzhou Eighth People’s Hospital, Guangzhou Medical University, Guangzhou, China
| | - Quanmin Li
- Infectious Disease Center, Guangzhou Eighth People’s Hospital, Guangzhou Medical University, Guangzhou, China
| | - Linghua Li
- Infectious Disease Center, Guangzhou Eighth People’s Hospital, Guangzhou Medical University, Guangzhou, China
| | - Jing Gu
- Department of Medical Statistics, School of Public Health, Sun Yat-Sen University, Guangzhou, China
| | - Weiping Cai
- Infectious Disease Center, Guangzhou Eighth People’s Hospital, Guangzhou Medical University, Guangzhou, China
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Wu X, Wu G, Ma P, Wang R, Li L, Chen Y, Xu J, Li Y, Li Q, Yang Y, Wang L, Xin X, Qiao Y, Fu G, Huang X, Su B, Zhang T, Wang H, Zou H. Associations of modern initial antiretroviral therapy regimens with all-cause mortality in people living with HIV in resource-limited settings: a retrospective multicenter cohort study in China. Nat Commun 2023; 14:5334. [PMID: 37660054 PMCID: PMC10475132 DOI: 10.1038/s41467-023-41051-w] [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: 08/21/2023] [Indexed: 09/04/2023] Open
Abstract
Despite the proven virological advantages, there remains some controversy regarding whether first-line integrase strand transfer inhibitors (INSTIs)-based antiretroviral therapy (ART) contributes to reducing mortality of people living with HIV (PLHIV) in clinical practice. Here we report a retrospective study comparing all-cause mortality among PLHIV in China who were on different initial ART regimens (nevirapine, efavirenz, dolutegravir, lopinavir, and others [including darunavir, raltegravie, elvitegravir and rilpivirine]) between 2017 and 2019. A total of 41,018 individuals were included across China, representing 21.3% of newly reported HIV/AIDS cases collectively in the country during this period. Only the differences in all-cause mortality of PLHIV between the efavirenz group and the nevirapine group, the dolutegravir group and the nevirapine group, and the lopinavir group and the nevirapine group, were observed in China. After stratifying the cause of mortality, we found that the differences in mortality between initial ART regimens were mainly observed in AIDS-related mortality.
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Grants
- HZ is supported by the Shenzhen Science and Technology Innovation Commission Basic Research Program [JCYJ20190807155409373], the Natural Science Foundation of China Excellent Young Scientists Fund [82022064], Natural Science Foundation of China International/Regional Research Collaboration Project [72061137001], the Sanming Project of Medicine in Shenzhen [SZSM201811071], the High Level Project of Medicine in Longhua, Shenzhen [HLPM201907020105], Special Support Plan for High-Level Talents of Guangdong Province [2019TQ05Y230], the Fundamental Research Funds for the Central Universities [58000-31620005], Non-profit Central Research Institute Fund of Chinese Academy of Medical Sciences [2020-JKCS-030]. GW is supported by the Chongqing Talents Program for Innovative and Entrepreneurial Pioneers [cstc2021ycjh-bgzxm0097], the Chongqing Natural Science Foundation Project [cstc2021jcyj-msxmX1171], the Chinese State Key Laboratory of Infectious Disease Prevention and Control [2021SKLID303]. PM is supported by the Health Science and Technology Project of Tianjin Health Commission [ZC20037], the Tianjin Key Medical Discipline (Specialty) Construction Project [Infectious Diseases ZD02]. LL is supported by the National Key Research and Development Program of China [2022YFC2304800], the Science and Technology Project of Guangzhou [20220020285]. XH is supported by the Public Health Talent Grant by Beijing Municipal Health Commission [Global Health Governance-02-12; 2022-1-007], the Capital Health Development Research [2022-2-2185; 2022-1G-3011]. BS is supported by the High-Level Public Health Specialized Talents Project of Beijing Municipal Health Commission [2022-2-018], the National Key R&D Program of China [2021YFC2301900; 2021YFC2301905], the Beijing Key Laboratory for HIV/AIDS Research [BZ0089]. All funding parties did not have any role in the design of the study or in the explanation of the data.
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Affiliation(s)
- Xinsheng Wu
- Shenzhen Campus of Sun Yat-sen University, Shenzhen, PR China
- School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, PR China
| | - Guohui Wu
- Institute for AIDS/STD Control and Prevention, Chongqing Center for Disease Control and Prevention, Chongqing, PR China
| | - Ping Ma
- Department of Infectious Diseases, Tianjin Second People's Hospital, Tianjin, PR China
- Tianjin Association of STD/AIDS Prevention and Control, Tianjin, PR China
| | - Rugang Wang
- Dalian Public Health Clinical Center, Dalian, PR China
| | - Linghua Li
- Infectious Disease Center, Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, PR China
| | - Yuanyi Chen
- Shenzhen Campus of Sun Yat-sen University, Shenzhen, PR China
- School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, PR China
| | - Junjie Xu
- Clinical Research Academy, Peking University Shenzhen Hospital, Peking University, Shenzhen, PR China
| | - Yuwei Li
- Shenzhen Campus of Sun Yat-sen University, Shenzhen, PR China
- School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, PR China
| | - Quanmin Li
- Infectious Disease Center, Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, PR China
| | - Yuecheng Yang
- Dehong Prefecture Center for Disease Control and Prevention, Dehong, PR China
| | - Lijing Wang
- Shijiazhuang Fifth Hospital, Shijiazhuang, PR China
| | - Xiaoli Xin
- No.6 People's Hospital of Shenyang, Shenyang, PR China
| | - Ying Qiao
- No.2 Hospital of Hohhot, Hohhot, PR China
| | - Gengfeng Fu
- Department of STD/AIDS Control and Prevention, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, PR China.
| | - Xiaojie Huang
- Clinical and Research Center for Infectious Diseases, Beijing Youan Hospital, Capital Medical University, Beijing, PR China.
| | - Bin Su
- Clinical and Research Center for Infectious Diseases, Beijing Youan Hospital, Capital Medical University, Beijing, PR China.
| | - Tong Zhang
- Clinical and Research Center for Infectious Diseases, Beijing Youan Hospital, Capital Medical University, Beijing, PR China.
| | - Hui Wang
- National Clinical Research Centre for Infectious Diseases, The Third People's Hospital of Shenzhen and The Second Affiliated Hospital of Southern University of Science and Technology, Shenzhen, PR China.
| | - Huachun Zou
- School of Public Health, Fudan University, Shanghai, PR China.
- School of Public Health, Southwest Medical University, Luzhou, PR China.
- Kirby Institute, University of New South Wales, Sydney, NSW, Australia.
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3
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Scola G, Chis Ster A, Bean D, Pareek N, Emsley R, Landau S. Implementation of the trial emulation approach in medical research: a scoping review. BMC Med Res Methodol 2023; 23:186. [PMID: 37587484 PMCID: PMC10428565 DOI: 10.1186/s12874-023-02000-9] [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: 11/16/2022] [Accepted: 07/25/2023] [Indexed: 08/18/2023] Open
Abstract
BACKGROUND When conducting randomised controlled trials is impractical, an alternative is to carry out an observational study. However, making valid causal inferences from observational data is challenging because of the risk of several statistical biases. In 2016 Hernán and Robins put forward the 'target trial framework' as a guide to best design and analyse observational studies whilst preventing the most common biases. This framework consists of (1) clearly defining a causal question about an intervention, (2) specifying the protocol of the hypothetical trial, and (3) explaining how the observational data will be used to emulate it. METHODS The aim of this scoping review was to identify and review all explicit attempts of trial emulation studies across all medical fields. Embase, Medline and Web of Science were searched for trial emulation studies published in English from database inception to February 25, 2021. The following information was extracted from studies that were deemed eligible for review: the subject area, the type of observational data that they leveraged, and the statistical methods they used to address the following biases: (A) confounding bias, (B) immortal time bias, and (C) selection bias. RESULTS The search resulted in 617 studies, 38 of which we deemed eligible for review. Of those 38 studies, most focused on cardiology, infectious diseases or oncology and the majority used electronic health records/electronic medical records data and cohort studies data. Different statistical methods were used to address confounding at baseline and selection bias, predominantly conditioning on the confounders (N = 18/49, 37%) and inverse probability of censoring weighting (N = 7/20, 35%) respectively. Different approaches were used to address immortal time bias, assigning individuals to treatment strategies at start of follow-up based on their data available at that specific time (N = 21, 55%), using the sequential trial emulations approach (N = 11, 29%) or the cloning approach (N = 6, 16%). CONCLUSION Different methods can be leveraged to address (A) confounding bias, (B) immortal time bias, and (C) selection bias. When working with observational data, and if possible, the 'target trial' framework should be used as it provides a structured conceptual approach to observational research.
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Affiliation(s)
- Giulio Scola
- Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
| | - Anca Chis Ster
- Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Daniel Bean
- Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- Health Data Research UK London, Institute of Health Informatics, University College London, London, UK
| | - Nilesh Pareek
- King's College Hospital NHS Foundation Trust, London, UK
- School of Cardiovascular and Metabolic Medicine & Sciences, BHF Centre of Excellence, King's College London, London, UK
| | - Richard Emsley
- Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Sabine Landau
- Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
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Jetsupphasuk M, Hudgens MG, Lu H, Cole SR, Edwards JK, Adimora AA, Althoff KN, Silverberg MJ, Rebeiro PF, Lima VD, Marconi VC, Sterling TR, Horberg MA, Gill MJ, Kitahata MM, Moore RD, Lang R, Gebo K, Rabkin C, Eron JJ. Optimizing Treatment for Human Immunodeficiency Virus to Improve Clinical Outcomes Using Precision Medicine. Am J Epidemiol 2023; 192:1341-1349. [PMID: 36922393 PMCID: PMC10666965 DOI: 10.1093/aje/kwad057] [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: 07/21/2022] [Revised: 01/03/2023] [Accepted: 03/09/2023] [Indexed: 03/18/2023] Open
Abstract
In first-line antiretroviral therapy (ART) for human immunodeficiency virus (HIV) treatment, some subgroups of patients may respond better to an efavirenz-based regimen than an integrase strand transfer inhibitor (InSTI)-based regimen, or vice versa, due to patient characteristics modifying treatment effects. Using data based on nearly 16,000 patients from the North American AIDS Cohort Collaboration on Research and Design from 2009-2016, statistical methods for precision medicine were employed to estimate an optimal treatment rule that minimizes the 5-year risk of the composite outcome of acquired immune deficiency syndrome (AIDS)-defining illnesses, serious non-AIDS events, and all-cause mortality. The treatment rules considered were functions that recommend either an efavirenz- or InSTI-based regimen conditional on baseline patient characteristics such as demographic information, laboratory results, and health history. The estimated 5-year risk under the estimated optimal treatment rule was 10.0% (95% confidence interval (CI): 8.6, 11.3), corresponding to an absolute risk reduction of 2.3% (95% CI: 0.9, 3.8) when compared with recommending an efavirenz-based regimen for all patients and 2.6% (95% CI: 1.0, 4.2) when compared with recommending an InSTI-based regimen for all. Tailoring ART to individual patient characteristics may reduce 5-year risk of the composite outcome compared with assigning all patients the same drug regimen.
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Affiliation(s)
- Michael Jetsupphasuk
- Correspondence to Michael Jetsupphasuk, Department of Biostatistics, UNC Gillings School of Global Public Health, Chapel Hill, NC 27599 (e-mail: )
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5
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Trickey A, Zhang L, Gill MJ, Bonnet F, Burkholder G, Castagna A, Cavassini M, Cichon P, Crane H, Domingo P, Grabar S, Guest J, Obel N, Psichogiou M, Rava M, Reiss P, Rentsch CT, Riera M, Schuettfort G, Silverberg MJ, Smith C, Stecher M, Sterling TR, Ingle SM, Sabin CA, Sterne JAC. Associations of modern initial antiretroviral drug regimens with all-cause mortality in adults with HIV in Europe and North America: a cohort study. Lancet HIV 2022; 9:e404-e413. [PMID: 35659335 PMCID: PMC9647005 DOI: 10.1016/s2352-3018(22)00046-7] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2021] [Revised: 01/31/2022] [Accepted: 02/17/2022] [Indexed: 12/25/2022]
Abstract
BACKGROUND Over the past decade, antiretroviral therapy (ART) regimens that include integrase strand inhibitors (INSTIs) have become the most commonly used for people with HIV starting ART. Although trials and observational studies have compared virological failure on INSTI-based with other regimens, few data are available on mortality in people with HIV treated with INSTIs in routine care. Therefore, we compared all-cause mortality between different INSTI-based and non-INSTI-based regimens in adults with HIV starting ART from 2013 to 2018. METHODS This cohort study used data on people with HIV in Europe and North America from the Antiretroviral Therapy Cohort Collaboration (ART-CC) and UK Collaborative HIV Cohort (UK CHIC). We studied the most common third antiretroviral drugs (additional to nucleoside reverse transcriptase inhibitor) used from 2013 to 2018: rilpivirine, darunavir, raltegravir, elvitegravir, dolutegravir, efavirenz, and others. Adjusted hazard ratios (aHRs; adjusted for clinical and demographic characteristics, comorbid conditions, and other drugs in the regimen) for mortality were estimated using Cox models stratified by ART start year and cohort, with multiple imputation of missing data. FINDINGS 62 500 ART-naive people with HIV starting ART (12 422 [19·9%] women; median age 38 [IQR 30-48]) were included in the study. 1243 (2·0%) died during 188 952 person-years of follow-up (median 3·0 years [IQR 1·6-4·4]). There was little evidence that mortality rates differed between regimens with dolutegravir, elvitegravir, rilpivirine, darunavir, or efavirenz as the third drug. However, mortality was higher for raltegravir compared with dolutegravir (aHR 1·49, 95% CI 1·15-1·94), elvitegravir (1·86, 1·43-2·42), rilpivirine (1·99, 1·49-2·66), darunavir (1·62, 1·33-1·98), and efavirenz (2·12, 1·60-2·81) regimens. Results were similar for analyses making different assumptions about missing data and consistent across the time periods 2013-15 and 2016-18. Rates of virological suppression were higher for dolutegravir than other third drugs. INTERPRETATION This large study of patients starting ART since the introduction of INSTIs found little evidence that mortality rates differed between most first-line ART regimens; however, raltegravir-based regimens were associated with higher mortality. Although unmeasured confounding cannot be excluded as an explanation for our findings, virological benefits of first-line INSTIs-based ART might not translate to differences in mortality. FUNDING US National Institute on Alcohol Abuse and Alcoholism and UK Medical Research Council.
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Affiliation(s)
- Adam Trickey
- Population Health Sciences, University of Bristol, Bristol, UK.
| | - Lei Zhang
- Population Health Sciences, University of Bristol, Bristol, UK
| | - M John Gill
- Department of Medicine, University of Calgary, South Alberta HIV Clinic, Calgary, AB, Canada
| | - Fabrice Bonnet
- University of Bordeaux, Institut de santé publique, d'épidémiologie et de développement, Institut National de la Santé et de la Recherche Médicale (INSERM) U1219, Bordeaux, France; Centre Hospitalier Universitaire de Bordeaux, Bordeaux, France
| | - Greer Burkholder
- Division of Infectious Diseases, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Antonella Castagna
- Institute of Infectious Diseases, University vita E Salute, Milan, Italy
| | - Matthias Cavassini
- Division of Infectious Diseases, Lausanne University Hospital, Lausanne, Switzerland
| | - Piotr Cichon
- Infectious Diseases Outpatient Clinic, Otto-Wagner Hospital, Vienna, Austria
| | - Heidi Crane
- Division of Infectious Diseases, Department of Medicine University of Washington, Seattle, WA, USA
| | - Pere Domingo
- Department of Infectious Diseases, Santa Creu i Sant Pau Hospital, Barcelona, Spain
| | - Sophie Grabar
- Sorbonne Université, INSERM, Institut Pierre Louis d'Épidémiologie et de Santé Publique, Paris, France; Department of Public Health, AP-HP, St Antoine Hospital, Paris, France
| | - Jodie Guest
- Atlanta Veterans Association Medical Center, Decatur, GA, USA; Rollins School of Public Health at Emory University, Atlanta, GA, USA
| | - Niels Obel
- Department of Infectious Diseases, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
| | - Mina Psichogiou
- First Department of Internal Medicine, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Marta Rava
- Unit AIDS Research Network Cohort, National Center of Epidemiology, Health Institute Carlos III, Madrid, Spain
| | - Peter Reiss
- Stichting HIV Monitoring, Amsterdam, Netherlands; Department of Global Health, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, Netherlands; Amsterdam Institute for Global Health and Development, Amsterdam, Netherlands
| | - Christopher T Rentsch
- Yale School of Medicine, Yale University, New Haven, CT, USA; VA Connecticut Healthcare System, West Haven, CT, USA; Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, UK
| | - Melchor Riera
- Fundación Instituto de Investigación Sanitaria Illes Balears, Infectious Diseases Unit, Hospital Son Espases, Mallorca, Spain
| | - Gundolf Schuettfort
- Infectious Diseases Unit, Medical Center 2, Frankfurt University Hospital, Frankfurt, Germany
| | | | - Colette Smith
- Department of Infection and Population Health, University College London, London, UK
| | - Melanie Stecher
- Department I of Internal Medicine, University Hospital of Cologne, Cologne, Germany; German Center for Infection Research, Partner Site Cologne-Bonn, Cologne, Germany
| | - Timothy R Sterling
- Division of Infectious Diseases, Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Suzanne M Ingle
- Population Health Sciences, University of Bristol, Bristol, UK
| | - Caroline A Sabin
- Centre for Clinical Research, Epidemiology, Modelling and Evaluation, Institute for Global Health, University College London, London, UK
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Klein MB, Young J. Can integrase inhibitors reduce mortality? THE LANCET HIV 2022; 9:e371-e372. [DOI: 10.1016/s2352-3018(22)00103-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/28/2022] [Revised: 04/06/2022] [Accepted: 04/08/2022] [Indexed: 10/18/2022]
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7
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Davy-Mendez T, Napravnik S, Eron JJ, Cole SR, van Duin D, Wohl DA, Hogan BC, Althoff KN, Gebo KA, Moore RD, Silverberg MJ, Horberg MA, Gill MJ, Mathews WC, Klein MB, Colasanti JA, Sterling TR, Mayor AM, Rebeiro PF, Buchacz K, Li J, Nanditha NGA, Thorne JE, Nijhawan A, Berry SA. Current and Past Immunodeficiency Are Associated With Higher Hospitalization Rates Among Persons on Virologically Suppressive Antiretroviral Therapy for up to 11 Years. J Infect Dis 2021; 224:657-666. [PMID: 34398239 PMCID: PMC8366443 DOI: 10.1093/infdis/jiaa786] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2020] [Accepted: 12/22/2020] [Indexed: 12/11/2022] Open
Abstract
BACKGROUND Persons with human immunodeficiency virus (PWH) with persistently low CD4 counts despite efficacious antiretroviral therapy could have higher hospitalization risk. METHODS In 6 US and Canadian clinical cohorts, PWH with virologic suppression for ≥1 year in 2005-2015 were followed until virologic failure, loss to follow-up, death, or study end. Stratified by early (years 2-5) and long-term (years 6-11) suppression and lowest presuppression CD4 count <200 and ≥200 cells/µL, Poisson regression models estimated hospitalization incidence rate ratios (aIRRs) comparing patients by time-updated CD4 count category, adjusted for cohort, age, gender, calendar year, suppression duration, and lowest presuppression CD4 count. RESULTS The 6997 included patients (19 980 person-years) were 81% cisgender men and 40% white. Among patients with lowest presuppression CD4 count <200 cells/μL (44%), patients with current CD4 count 200-350 vs >500 cells/μL had aIRRs of 1.44 during early suppression (95% confidence interval [CI], 1.01-2.06), and 1.67 (95% CI, 1.03-2.72) during long-term suppression. Among patients with lowest presuppression CD4 count ≥200 (56%), patients with current CD4 351-500 vs >500 cells/μL had an aIRR of 1.22 (95% CI, .93-1.60) during early suppression and 2.09 (95% CI, 1.18-3.70) during long-term suppression. CONCLUSIONS Virologically suppressed patients with lower CD4 counts experienced higher hospitalization rates and could potentially benefit from targeted clinical management strategies.
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Affiliation(s)
- Thibaut Davy-Mendez
- Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
- School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Sonia Napravnik
- Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
- School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Joseph J Eron
- Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
- School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Stephen R Cole
- Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - David van Duin
- School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - David A Wohl
- Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
- School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Brenna C Hogan
- Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA
| | - Keri N Althoff
- Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA
- School of Medicine, Johns Hopkins University, Baltimore, Maryland, USA
| | - Kelly A Gebo
- Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA
- School of Medicine, Johns Hopkins University, Baltimore, Maryland, USA
| | - Richard D Moore
- Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA
- School of Medicine, Johns Hopkins University, Baltimore, Maryland, USA
| | | | - Michael A Horberg
- Kaiser Permanente Mid-Atlantic Permanente Research Institute, Rockville, Maryland, USA
| | - M John Gill
- Southern Alberta HIV Clinic, Calgary, Alberta, Canada
| | | | - Marina B Klein
- Faculty of Medicine, McGill University, Montreal, Quebec, Canada
| | | | | | - Angel M Mayor
- School of Medicine, Universidad Central del Caribe, Bayamon, Puerto Rico, USA
| | - Peter F Rebeiro
- School of Medicine, Vanderbilt University, Nashville, Tennessee, USA
| | - Kate Buchacz
- Division of HIV/AIDS Prevention, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Jun Li
- Division of HIV/AIDS Prevention, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Ni Gusti Ayu Nanditha
- Faculty of Medicine, University of British Columbia, Vancouver, British Columbia, Canada
| | - Jennifer E Thorne
- School of Medicine, Johns Hopkins University, Baltimore, Maryland, USA
| | - Ank Nijhawan
- University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Stephen A Berry
- School of Medicine, Johns Hopkins University, Baltimore, Maryland, USA
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