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1.
Braz. j. infect. dis ; 16(1): 27-33, Jan.-Feb. 2012. ilus, tab
Article in English | LILACS | ID: lil-614546

ABSTRACT

Finding a better first antiretroviral regimen is one of the strategies used to improve span and quality of life of HIV/AIDS patients. 891 patients were followed during 24 months or until interruption/abandonment of treatment, changing regimen or death. At the end of 6 months, 69 percent of the patients were still being treated with the first regimen, 54 percent at 12 months, 48 percent at 18 months and 39 percent at 24 months. AZT-3TC-EFV was the most prescribed regimen and with the lesser discontinuation. NNRTI regimens showed high effectiveness and durability compared to PI regimens. Irregular medication dispensation was the only risk factor for failure/interruption of treatment in multivariate analyses. Intolerance/adverse effects were mainly responsible for first regimen discontinuation, followed by abandonment/non-adherence and virologic failure. Results showed significant difference between causes of interruption of first HAART with higher percentage of intolerance/adverse effects with PI regimens and higher immunologic failure with NNRTI regimens. Even with the availability of more potent and tolerable drugs, lack of adherence to HAART and high level of adverse effects are still the most important barriers to prolonged success of treatment. This study adds relevant information about durability and effectiveness of HAART in the first decade of its use in Brazil.


Subject(s)
Adult , Female , Humans , Male , Anti-HIV Agents/administration & dosage , HIV Infections/drug therapy , Patient Compliance/statistics & numerical data , Antiretroviral Therapy, Highly Active/methods , Brazil , Cohort Studies , Drug Administration Schedule , Follow-Up Studies , Time Factors
2.
Braz. j. infect. dis ; 10(2): 82-88, Apr. 2006. tab, graf
Article in English | LILACS | ID: lil-431978

ABSTRACT

We assessed the performance of HIV-1 genotyping tests in rescue therapy. Patients were divided into two groups: group 1 (genotyped), included those switching to new antiretroviral drugs based on HIV-1 genotyping data, and group 2 (standard of care -SOC), comprised those in rescue therapy who had not used this test. This was an open and non-randomized study, with 74 patients, followed up for a mean period of 12 months, from February 2002 to May 2003. The groups differed in the duration of antiretroviral use, experience with diverse drug classes (non-nucleoside reverse transcriptase inhibitors and protease inhibitors) and viral load <2.6 log10 copies/mL at any time during treatment. In 23 patients (group 1), the switch in antiretroviral (ARV) regimen was based on genotyping data; this test was not used for 51 patients (group 2). Two CD4 + lymphocyte counts and viral load counts were made for each patient during the study. Data from the pharmacy where patients received antiretroviral agents, medical charts, and direct interviews with patients to assess compliance to treatment, were analyzed. In the genotyped group, the average drop in viral load was 2.8 log10, compared with a 1.5 log10 difference in group 2; the difference was significant in the first assessment performed six months after switching (p=0.001). Considering the patients with viral load < 2.6 log10 (400 copies/mL) after switching, the patients in group 1 had a better performance in the first assessment (73.9 percent versus 31.1 percent in groups 1 and 2, respectively); this difference was significant (p=0.001). In multivariate analysis, the variables associated with a greater drop in viral load in the first assessment were the patients whose switching was based on genotyping (group 1), those with a past history of viral load < 2.6 log10 and correct use of antiretroviral agents. In conclusion, the genotyping test and adherence were found to be independent factors for success in the management of patients who failed treatment.


Subject(s)
Adult , Female , Humans , Male , Middle Aged , Anti-HIV Agents/therapeutic use , Genotype , HIV Infections/drug therapy , HIV-1 , Brazil , Drug Resistance, Viral , HIV Infections/virology , Linear Models , Multivariate Analysis , Patient Compliance , Reverse Transcriptase Polymerase Chain Reaction , RNA, Viral , Time Factors , Viral Load
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