Literature DB >> 25397512

Treatment modification in HIV-Infected individuals starting antiretroviral therapy between 2011 and 2014.

Michaela Rappold1, Armin Rieger2, Andrea Steuer3, Maria Geit4, Mario Sarcletti1, Bernhard Haas5, Ninon Taylor6, Manfred Kanatschnig7, Gisela Leierer1, Bruno Ledergerber8, Robert Zangerle1.   

Abstract

INTRODUCTION: While antiretroviral therapy (ART) has increased the survival of HIV patients and turned HIV infection into a chronic condition, treatment modifications and poor adherence might limit this therapeutic success.
METHODS: Patients from the Austrian HIV Cohort Study, who started their first ART after Rilpivirine became available in February 2011, were analyzed for factors associated with treatment modification which could be either a change of drugs or a stop of the regimen. A drug was considered as stopped when the regimen was interrupted for more than eight days. Drugs of particular interest were Darunavir (DRV), Atazanavir (ATV), Raltegravir (RAL), Rilpivirine (RPV) and Efavirenz (EFV). RPV and EFV were analyzed only when taken as single tablet regimen. Other drugs were summarized as "other." Proportional hazards regression methods were used to identify predictors of discontinuation and Kaplan-Meier estimates were used to calculate probabilities of discontinuation. Patients who died were censored at the date of death.
RESULTS: 965 patients started ART, 282 with DRV, 161 with ATV, 96 with RAL, 108 with RPV and 118 with EFV. Median time for taking initial ART is 11.6 months. 322 (33.4%) patients modified their initial ART. The overall probability of modification at one year was 28.7%, at two years 40.0% and at three years 49.8%. In a multivariable proportional hazards regression analysis, AIDS diagnosis at baseline and injecting drug use (IDU) of men compared with men who have sex with men (MSM) have a higher risk of switch/stop. Compared with DRV, RPV showed a much lower and ATV and particularly "other" a higher risk for discontinuation (Table 1).
CONCLUSION: Rates of modification and interruption were still high in recent years, particularly in the first year of ART. The decreased rate of modification found in patients treated with Rilpivirine may be attributed to selection of patients according to guidelines.

Entities:  

Year:  2014        PMID: 25397512      PMCID: PMC4225345          DOI: 10.7448/IAS.17.4.19768

Source DB:  PubMed          Journal:  J Int AIDS Soc        ISSN: 1758-2652            Impact factor:   5.396


Uni- and multivariable Cox regression: association between different baseline characteristics and modifications of the initial ART regimen
Table 1

Uni- and multivariable Cox regression: association between different baseline characteristics and modifications of the initial ART regimen

Univariable Cox RegressionMultivariable Cox Regression

Hazard ratio95% CIHazard ratio95% CI
Age
 <30 years0.980.68–1.420.980.66–1.47
 30–50 years0.890.63–1.260.890.62–1.27
 ≥50 years1Reference1Reference
HIV transmission category
 Male injecting drug user1.621.14–2.291.451.02–2.06
 Female injecting drug user0.910.46–1.780.820.41–1.62
 Male heterosexual1.010.75–1.360.890.65–1.21
 Female heterosexual1.280.94–1.730.980.72–1.34
 Other0.780.41–1.480.540.28–1.04
 Men who have sex with men1Reference1Reference
Drugs/Regimen
 RPV0.150.06–0.420.160.06–0.45
 EFV1.040.70–1.541.030.69–1.54
 ATV1.751.27–2.421.681.21–2.32
 RAL1.200.77–1.881.090.69–1.72
 Other2.982.22–4.013.102.30–4.18
 DRV1Reference1Reference
AIDS at baseline
 Yes1.731.24–2.401.681.19–2.37
 No1Reference1Reference
  7 in total

1.  Directed evolution of a recombinase that excises the provirus of most HIV-1 primary isolates with high specificity.

Authors:  Janet Karpinski; Ilona Hauber; Jan Chemnitz; Carola Schäfer; Maciej Paszkowski-Rogacz; Deboyoti Chakraborty; Niklas Beschorner; Helga Hofmann-Sieber; Ulrike C Lange; Adam Grundhoff; Karl Hackmann; Evelin Schrock; Josephine Abi-Ghanem; M Teresa Pisabarro; Vineeth Surendranath; Axel Schambach; Christoph Lindner; Jan van Lunzen; Joachim Hauber; Frank Buchholz
Journal:  Nat Biotechnol       Date:  2016-02-22       Impact factor: 54.908

2.  Incidence and Predictors of Initial Antiretroviral Therapy Regimen Change Among HIV-Infected Adults Receiving Antiretroviral Therapy at Arba Minch General Hospital, Southern Ethiopia.

Authors:  Mathewos Alemu Gebremichael; Mekdes Kondale Gurara; Haymanot Nigussie Weldehawaryat
Journal:  HIV AIDS (Auckl)       Date:  2020-08-03

3.  Analysis of antiretroviral therapy modification in routine clinical practice in the management of HIV infection.

Authors:  Carmen Sobrino-Jiménez; Inmaculada Jiménez-Nácher; Francisco Moreno-Ramos; María Ángeles González-Fernández; Mercedes Freire-González; Juan González-García; Alicia Herrero-Ambrosio
Journal:  Eur J Hosp Pharm       Date:  2016-07-21

4.  Magnitude and predictors of first-line antiretroviral therapy regimen change among HIV infected adults: A retrospective cross sectional study.

Authors:  Niguse Meles Alema; Solomon Weldegebreal Asgedom; Mahlet Maru; Beletu Berihun; Teklu Gebrehiwet; Tesfay Mehari Atey; Desalegn Getnet Demsie; Abere Tilahun Bantie; Adane Yehualaw; Chernet Taferre; Sofia Assen Seid; Timsel Girma; Mengesha Dessie Allene; Sintayehu Mulugeta Tamru
Journal:  Ann Med Surg (Lond)       Date:  2022-08-17

5.  Rate of initial highly active anti-retroviral therapy regimen change and its predictors among adult HIV patients at University of Gondar Referral Hospital, Northwest Ethiopia: a retrospective follow up study.

Authors:  Degefaye Zelalem Anlay; Zinahbizu Abay Alemayehu; Berihun Assefa Dachew
Journal:  AIDS Res Ther       Date:  2016-02-17       Impact factor: 2.250

6.  Single Tablet Regimen Usage and Efficacy in the Treatment of HIV Infection in Australia.

Authors:  B Armstrong; D J Chan; M J Stewart; D Fagan; D Smith
Journal:  AIDS Res Treat       Date:  2015-10-13

7.  Magnitude and causes of first-line antiretroviral therapy regimen changes among HIV patients in Ethiopia: a systematic review and meta-analysis.

Authors:  Zerihun Ataro; Birhanu Motbaynor; Fitsum Weldegebreal; Mekonnen Sisay; Tewodros Tesfa; Habtamu Mitiku; Dadi Marami; Zelalem Teklemariam; Zewdneh Shewamene
Journal:  BMC Pharmacol Toxicol       Date:  2019-11-01       Impact factor: 2.483

  7 in total

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