1
|
Naito T, Mori H, Fujibayashi K, Fukushima S, Yuda M, Fukui N, Tsukamoto S, Suzuki M, Goto-Hirano K, Kuwatsuru R. Analysis of antiretroviral therapy switch rate and switching pattern for people living with HIV from a national database in Japan. Sci Rep 2022; 12:1732. [PMID: 35110641 PMCID: PMC8810755 DOI: 10.1038/s41598-022-05816-5] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2021] [Accepted: 01/19/2022] [Indexed: 12/20/2022] Open
Abstract
To report the status of switch rates and time-to-switch of antiretroviral therapy (ART) regimens by evaluating anchor drug classes and common switching patterns in Japanese people living with human immunodeficiency virus (HIV, PLWH). This cross-sectional cohort study extracted data of 28,089 PLWH from the National Database of Health Insurance Claims and Specific Health Checkups of Japan (NDB), which contains data representing the entire population of Japan. PLWH with first prescription records of ART administered between January 2011 and March 2019 were identified (n = 16,069). The median time-to-switch and switch rates of anchor drug classes were estimated by Kaplan-Meier analysis. Brookmeyer-Crowley and Greenwood methods were used to estimate 95% confidence intervals for switch rates and median days, respectively. Switch rates were compared between anchor drug classes by year using log-rank tests. A total of 3108 (19.3%) PLWH switched anchor drug classes from first to second regimens. Switch rates increased continuously over 8 years for non-nucleoside reverse transcriptase inhibitors (NNRTIs) (14.9-65.5%) and protease inhibitors (PIs) (13.2-67.7%), with median time-to-switch of 1826 and 1583 days, respectively. Integrase strand transfer inhibitors (INSTIs) maintained a low switch rate (3.0-7.6%), precluding median-days calculation. Overall, the majority of patients treated initially with NNRTIs and PIs switched to INSTIs regardless of switching times (< 1 year: 67.3% and 85.9%, respectively; ≥ 1 year: 95.5% and 93.6%, respectively). The foremost switching strategies for first-to-second ART regimens are from NNRTIs or PIs to INSTIs regimens that maintain low switch rates long term. There was no observable difference in trend between sex, age and status of AIDS disease at first ART regimen. INSTIs HIV agents may be the most durable anchor drug class for PLWH receiving ART.
Collapse
Affiliation(s)
- Toshio Naito
- Department of General Medicine, Juntendo University Faculty of Medicine, Hongo 2-1-1, Bunkyo-ku, Tokyo, 113-8421, Japan.
| | - Hirotake Mori
- Department of General Medicine, Juntendo University Faculty of Medicine, Hongo 2-1-1, Bunkyo-ku, Tokyo, 113-8421, Japan
| | - Kazutoshi Fujibayashi
- Department of General Medicine, Juntendo University Faculty of Medicine, Hongo 2-1-1, Bunkyo-ku, Tokyo, 113-8421, Japan
| | - Shinichi Fukushima
- Department of General Medicine, Juntendo University Faculty of Medicine, Hongo 2-1-1, Bunkyo-ku, Tokyo, 113-8421, Japan
| | - Mayumi Yuda
- Center for Promotion of Data Science, Juntendo University Graduate School of Medicine, Hongo 2-1-1, Bunkyo-ku, Tokyo, 113-8421, Japan
| | - Nobuyuki Fukui
- Center for Promotion of Data Science, Juntendo University Graduate School of Medicine, Hongo 2-1-1, Bunkyo-ku, Tokyo, 113-8421, Japan
| | - Shotaro Tsukamoto
- Center for Promotion of Data Science, Juntendo University Graduate School of Medicine, Hongo 2-1-1, Bunkyo-ku, Tokyo, 113-8421, Japan
| | - Mai Suzuki
- Department of General Medicine, Juntendo University Faculty of Medicine, Hongo 2-1-1, Bunkyo-ku, Tokyo, 113-8421, Japan
| | - Keiko Goto-Hirano
- Department of Cardiovascular Biology and Medicine, Juntendo University Faculty of Medicine, Hongo 2-1-1, Bunkyo-ku, Tokyo, 113-8421, Japan
| | - Ryohei Kuwatsuru
- Center for Promotion of Data Science, Juntendo University Graduate School of Medicine, Hongo 2-1-1, Bunkyo-ku, Tokyo, 113-8421, Japan.,Department of Radiology, Juntendo University Faculty of Medicine, Hongo 2-1-1, Bunkyo-ku, Tokyo, 113-8421, Japan
| |
Collapse
|
2
|
Giacomelli A, Conti F, Pezzati L, Oreni L, Ridolfo AL, Morena V, Bonazzetti C, Pagani G, Formenti T, Galli M, Rusconi S. Impact of switching to TAF/FTC/RPV, TAF/FTC/EVG/cobi and ABC/3TC/DTG on cardiovascular risk and lipid profile in people living with HIV: a retrospective cohort study. BMC Infect Dis 2021; 21:595. [PMID: 34157984 PMCID: PMC8220746 DOI: 10.1186/s12879-021-06304-3] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2020] [Accepted: 06/08/2021] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND We aimed to assess the overall cardiovascular and metabolic effect of the switch to three different single tablet regimens (STRs) [tenofovir alafenamide/emtricitabine/rilpivirine (TAF/FTC/RPV), TAF/FTC/elvitegravir/cobi (TAF/FTC/EVG/cobi) and ABC/lamivudine/dolutegravir (ABC/3TC/DTG)] in a cohort of people living with HIV/AIDS (PLWH) under effective ART. METHODS All PLWH aged above 18 years on antiretroviral treatment with an HIV-RNA < 50 cp/mL at the time of the switch to TAF/FTC/RPV, TAF/FTC/EVG/cobi and ABC/3TC/DTG were retrospectively included in the analysis. Framingham risk score modification after 12 months from the switch such as lipid profile and body weight modification were assessed. The change from baseline to 12 months in mean cardiovascular risk and body weight in each of the STR's group were assessed by means of Wilcoxon signed-rank test whereas a mixed regression model was used to assess variation in lipid levels. RESULTS Five-hundred and sixty PLWH were switched to an STR regimen of whom 170 (30.4%) to TAF/FTC/EVG/cobi, 191 (34.1%) to TAF/FTC/RPV and 199 (35.5%) to ABC/3TC/DTG. No difference in the Framingham cardiovascular risk score was observed after 12 months from the switch in each of the STR's groups. No significant overtime variation in mean total cholesterol levels from baseline to 12 months was observed for PLWH switched to ABC/3TC/DTG [200 (SD 38) mg/dl vs 201 (SD 35) mg/dl; p = 0.610] whereas a significant increment was observed in PLWH switched to TAF/FTC/EVG/cobi [192 (SD 34) mg/dl vs 208 (SD 40) mg/dl; p < 0.0001] and TAF/FTC/RPV [187 (SD 34) mg/dl vs 195 (SD 35) mg/dl; p = 0.027]. In addition, a significant variation in the mean body weight from baseline to 12 months was observed in PLWH switched to TAF/FTC/EVG/cobi [72.2 (SD 13.5) kilograms vs 74.6 (SD 14.3) kilograms; p < 0.0001] and TAF/FTC/RPV [73.4 (SD 11.6) kilograms vs 75.6 (SD 11.8) kilograms; p < 0.0001] whereas no difference was observed in those switched to ABC/3TC/DTG [71.5 (SD 12.8) kilograms vs 72.1 (SD 12.6) kilograms; p = 0.478]. CONCLUSION No difference in the cardiovascular risk after 1 year from the switch to these STRs were observed. PLWH switched to TAF/FTC/EVG/cobi and TAF/FTC/RPV showed an increase in total cholesterol levels and body weight 12 months after the switch.
Collapse
MESH Headings
- Adult
- Anti-HIV Agents/metabolism
- Anti-HIV Agents/therapeutic use
- Body Weight/drug effects
- Cohort Studies
- Dideoxynucleosides/metabolism
- Dideoxynucleosides/therapeutic use
- Drug Combinations
- Elvitegravir, Cobicistat, Emtricitabine, Tenofovir Disoproxil Fumarate Drug Combination/metabolism
- Elvitegravir, Cobicistat, Emtricitabine, Tenofovir Disoproxil Fumarate Drug Combination/therapeutic use
- Emtricitabine, Rilpivirine, Tenofovir Drug Combination/metabolism
- Emtricitabine, Rilpivirine, Tenofovir Drug Combination/therapeutic use
- Female
- HIV Infections/drug therapy
- Heart Disease Risk Factors
- Heterocyclic Compounds, 3-Ring/metabolism
- Heterocyclic Compounds, 3-Ring/therapeutic use
- Humans
- Italy/epidemiology
- Lamivudine/metabolism
- Lamivudine/therapeutic use
- Lipid Metabolism/drug effects
- Lipids/blood
- Male
- Middle Aged
- Oxazines/metabolism
- Oxazines/therapeutic use
- Piperazines/metabolism
- Piperazines/therapeutic use
- Pyridones/metabolism
- Pyridones/therapeutic use
- Retrospective Studies
- Tablets/therapeutic use
Collapse
Affiliation(s)
- Andrea Giacomelli
- Department of Infectious Diseases, ASST Fatebenefratelli-Sacco, Luigi Sacco University Hospital, Milan, Italy
- III Infectious Diseases Unit, Luigi Sacco Department of Biomedical and Clinical Sciences DIBIC, University of Milan, Luigi Sacco Hospital, Legnano (MI), Italy
| | - Federico Conti
- Department of Infectious Diseases, ASST Fatebenefratelli-Sacco, Luigi Sacco University Hospital, Milan, Italy
- III Infectious Diseases Unit, Luigi Sacco Department of Biomedical and Clinical Sciences DIBIC, University of Milan, Luigi Sacco Hospital, Legnano (MI), Italy
| | - Laura Pezzati
- Department of Infectious Diseases, ASST Fatebenefratelli-Sacco, Luigi Sacco University Hospital, Milan, Italy
- III Infectious Diseases Unit, Luigi Sacco Department of Biomedical and Clinical Sciences DIBIC, University of Milan, Luigi Sacco Hospital, Legnano (MI), Italy
| | - Letizia Oreni
- Department of Infectious Diseases, ASST Fatebenefratelli-Sacco, Luigi Sacco University Hospital, Milan, Italy
| | - Anna Lisa Ridolfo
- Department of Infectious Diseases, ASST Fatebenefratelli-Sacco, Luigi Sacco University Hospital, Milan, Italy
- III Infectious Diseases Unit, Luigi Sacco Department of Biomedical and Clinical Sciences DIBIC, University of Milan, Luigi Sacco Hospital, Legnano (MI), Italy
| | - Valentina Morena
- Department of Infectious Diseases, ASST Fatebenefratelli-Sacco, Luigi Sacco University Hospital, Milan, Italy
- III Infectious Diseases Unit, Luigi Sacco Department of Biomedical and Clinical Sciences DIBIC, University of Milan, Luigi Sacco Hospital, Legnano (MI), Italy
| | - Cecilia Bonazzetti
- Department of Infectious Diseases, ASST Fatebenefratelli-Sacco, Luigi Sacco University Hospital, Milan, Italy
- III Infectious Diseases Unit, Luigi Sacco Department of Biomedical and Clinical Sciences DIBIC, University of Milan, Luigi Sacco Hospital, Legnano (MI), Italy
| | - Gabriele Pagani
- Department of Infectious Diseases, ASST Fatebenefratelli-Sacco, Luigi Sacco University Hospital, Milan, Italy
- III Infectious Diseases Unit, Luigi Sacco Department of Biomedical and Clinical Sciences DIBIC, University of Milan, Luigi Sacco Hospital, Legnano (MI), Italy
- Infectious Diseases Unit, Legnano General Hospital, ASST Ovest Milanese, Via G.B. Grassi 74, 20157, Milan, Italy
| | - Tiziana Formenti
- Department of Infectious Diseases, ASST Fatebenefratelli-Sacco, Luigi Sacco University Hospital, Milan, Italy
| | - Massimo Galli
- Department of Infectious Diseases, ASST Fatebenefratelli-Sacco, Luigi Sacco University Hospital, Milan, Italy
- III Infectious Diseases Unit, Luigi Sacco Department of Biomedical and Clinical Sciences DIBIC, University of Milan, Luigi Sacco Hospital, Legnano (MI), Italy
| | - Stefano Rusconi
- Department of Infectious Diseases, ASST Fatebenefratelli-Sacco, Luigi Sacco University Hospital, Milan, Italy.
- III Infectious Diseases Unit, Luigi Sacco Department of Biomedical and Clinical Sciences DIBIC, University of Milan, Luigi Sacco Hospital, Legnano (MI), Italy.
| |
Collapse
|
3
|
Giacomelli A, Pezzati L, Rusconi S. The crosstalk between antiretrovirals pharmacology and HIV drug resistance. Expert Rev Clin Pharmacol 2020; 13:739-760. [PMID: 32538221 DOI: 10.1080/17512433.2020.1782737] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
INTRODUCTION The clinical development of antiretroviral drugs has been followed by a rapid and concomitant development of HIV drug resistance. The development and spread of HIV drug resistance is due on the one hand to the within-host intrinsic HIV evolutionary rate and on the other to the wide use of low genetic barrier antiretrovirals. AREAS COVERED We searched PubMed and Embase on 31 January 2020, for studies reporting antiretroviral resistance and pharmacology. In this review, we assessed the molecular target and mechanism of drug resistance development of the different antiretroviral classes focusing on the currently approved antiretroviral drugs. Then, we assessed the main pharmacokinetic/pharmacodynamic of the antiretrovirals. Finally, we retraced the history of antiretroviral treatment and its interconnection with antiretroviral worldwide resistance development both in , and middle-income countries in the perspective of 90-90-90 World Health Organization target. EXPERT OPINION Drug resistance development is an invariably evolutionary driven phenomenon, which challenge the 90-90-90 target. In high-income countries, the antiretroviral drug resistance seems to be stable since the last decade. On the contrary, multi-intervention strategies comprehensive of broad availability of high genetic barrier regimens should be implemented in resource-limited setting to curb the rise of drug resistance.
Collapse
Affiliation(s)
- Andrea Giacomelli
- III Infectious Disease Unit, ASST-FBF-Sacco , Milan, Italy.,Department of Biomedical and Clinical Sciences DIBIC L. Sacco, University of Milan , Milan, Italy
| | - Laura Pezzati
- III Infectious Disease Unit, ASST-FBF-Sacco , Milan, Italy.,Department of Biomedical and Clinical Sciences DIBIC L. Sacco, University of Milan , Milan, Italy
| | - Stefano Rusconi
- III Infectious Disease Unit, ASST-FBF-Sacco , Milan, Italy.,Department of Biomedical and Clinical Sciences DIBIC L. Sacco, University of Milan , Milan, Italy
| |
Collapse
|
4
|
Giacomelli A, Lai A, Franzetti M, Maggiolo F, Di Giambenedetto S, Borghi V, Francisci D, Magnani G, Pecorari M, Monno L, Vicenti I, Lepore L, Lombardi F, Paolucci S, Rusconi S. No impact of previous NRTIs resistance in HIV positive patients switched to DTG+2NRTIs under virological control: Time of viral suppression makes the difference. Antiviral Res 2019; 172:104635. [PMID: 31629714 DOI: 10.1016/j.antiviral.2019.104635] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2019] [Revised: 10/14/2019] [Accepted: 10/15/2019] [Indexed: 12/20/2022]
Abstract
The accumulation of drug-resistance mutations on combined antiretroviral regimens (ART) backbone could affect the virological efficacy of the regimen. Our aim was to assess the impact of previous drug resistance to nucleoside reverse transcriptase inhibitors (NRTIs) on the probability of virological failure (VF) in patients, under virological control, who switched to dolutegravir (DTG)+2NRTIs regimens. All HIV-1 positive drug-experienced patients who started a regimen composed by DTG+2NRTIs [abacavir/lamivudine or tenofovir disoproxil fumarate (TDF) or tenofovir alafenamide (TAF)/emtricitabine (FTC)] in the ARCA collaborative group with HIV-RNA <50 cp/mL were included in the analysis. Patients with a previous VF to integrase inhibitors were excluded. The impact of single and combined NRTIs mutations on the probability of VF (defined as 2 consecutive HIV-RNA >50 copies/mL or one HIV-RNA >1000 copies/mL) was assessed by Kaplan Meier curves. A multivariable Cox regression analysis was constructed to assess factors potentially related to VF. Five hundred and eighty-eight patients were included in the analysis with a median time of viral suppression before the switch of 37 months (IQR 12-78), of whom 148 (25.2%) had at least one previous NRTIs resistance mutation. In the multivariable model no association was observed between NRTIs mutations and VF. Conversely, the duration of viral suppression before switch resulted associated with a lower risk of VF (for 1 month increase, adjusted Hazard Ratio 0.98, 95%CI 0.96-0.99; p=0.024). Previous NRTIs mutations appeared to have no impact on the risk of VF in patients switched to DTG+2NRTIs, whereas a longer interval on a controlled viremia decreased significantly the risk of VF.
Collapse
Affiliation(s)
- Andrea Giacomelli
- III Infectious Disease Unit, ASST-FBF-Sacco, Milan, Italy; Department of Biomedical and Clinical Sciences DIBIC L. Sacco, University of Milan, Milan, Italy.
| | - Alessia Lai
- Department of Biomedical and Clinical Sciences DIBIC L. Sacco, University of Milan, Milan, Italy
| | | | - Franco Maggiolo
- Department of Infectious Diseases, Azienda Ospedaliera Papa Giovanni XXIII, Bergamo, Italy
| | - Simona Di Giambenedetto
- Fondazione Policlinico Universitario A. Gemelli IRCCS, Roma Italia, UOC Malattie Infettive, Italy; Università Cattolica del Sacro Cuore, Roma Italia, Istituto di Clinica Malattie Infettive, Italy
| | - Vanni Borghi
- Infectious Diseases Clinic, Azienda Ospedaliero-Universitaria Policlinico, Modena, Italy
| | | | | | - Monica Pecorari
- Unit of Virology and Molecular Microbiology, University Hospital, Modena, Italy
| | - Laura Monno
- Department of Biomedical Sciences and Human Oncology, Clinic of Infectious Diseases, University of Bari, Italy
| | - Ilaria Vicenti
- Department of Medical Biotechnologies, University of Siena, Siena, Italy
| | - Luciana Lepore
- Department of Biomedical Sciences and Human Oncology, Clinic of Infectious Diseases, University of Bari, Italy
| | - Francesca Lombardi
- Università Cattolica del Sacro Cuore, Roma Italia, Istituto di Clinica Malattie Infettive, Italy
| | - Stefania Paolucci
- Molecular Virology Unit, Microbiology and Virology Department, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy
| | - Stefano Rusconi
- III Infectious Disease Unit, ASST-FBF-Sacco, Milan, Italy; Department of Biomedical and Clinical Sciences DIBIC L. Sacco, University of Milan, Milan, Italy
| | | |
Collapse
|