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1.
AIDS ; 15(8): 983-90, 2001 May 25.
Article in English | MEDLINE | ID: mdl-11399980

ABSTRACT

OBJECTIVES: To compare the response to highly active antiretroviral therapy (HAART) in individuals starting HAART at different CD4 cell counts. DESIGN: The mean increase in CD4 cell count and rate of virological failure after commencing HAART were measured in antiretroviral-naive patients (1421) in a large, non-randomized multicentre, observational study in Italy (ICONA). Clinical endpoints were also evaluated in a subset of patients who started HAART with a very low CD4 cell count. RESULTS: After 96 weeks of therapy, the mean rise in CD4 cell count was 280, 281 and 186 x 10(6) cells/l in patients starting HAART with a CD4 cell count < 200, 201--350 and > 350 x 10(6) cells/l, respectively. Patients starting HAART with a CD4 cell count < 200 x 10(6) cells/l tended to have a higher risk of subsequent virological failure [relative hazard (RH), 1.15; 95% confidence interval (CI), 0.93--1.42] compared with patients starting with > 350 x 10(6) cells/l. There was no difference in risk between the 201--350 and the > 350 x 10(6) cells/l groups (RH, 1.0; 95% CI, 0.79--1.29). The incidence of new AIDS-defining diseases/death in patients who started HAART with a CD4 count < 50 was 0.03/person-year (95% CI, 0.10--0.33) during the time in which the patient's CD4 cell count had been raised to > 200 x 10(6) cells/l. CONCLUSIONS: There was no clear immunological or virological advantage in starting HAART at a CD4 cell count > 350 rather than at 200--350 x 10(6) cells/l. The increase in CD4 cells restored by HAART is meaningful in that they are associated with reduced risk of disease/death.


Subject(s)
Antiretroviral Therapy, Highly Active , HIV Infections/drug therapy , Adolescent , Adult , Aged , Aged, 80 and over , Antiretroviral Therapy, Highly Active/adverse effects , CD4 Lymphocyte Count , Chronic Disease , HIV Infections/mortality , HIV Infections/virology , Humans , Male , Middle Aged , Proportional Hazards Models , Prospective Studies , Survival Analysis , Time Factors
2.
Eur J Epidemiol ; 16(10): 919-26, 2000.
Article in English | MEDLINE | ID: mdl-11338123

ABSTRACT

OBJECTIVES: To determine factors associated with beginning antiretroviral therapy and with the number of drugs used. METHODS: Longitudinal study of 3169 HIV-infected individuals naïve from antiretroviral drugs at enrollment in 65 infectious disease clinics in Italy. Initiation of antiretroviral therapy and number of drugs used (i.e., < 3 vs. > or = 3 drugs) were the main outcome measures. Adjusted odds ratios were calculated by logistic models to establish cofactors of these two measures. RESULTS: From January 1997 to December 1998, 1288 (40.6%) individuals started therapy, 58.0% of whom were given a triple combination regimen. This regimen became more frequent over time. By multivariate analysis, high levels of HIV-RNA and low CD4 counts were the most important independent predictors of starting any type of therapy. A significant association was also found with HIV exposure category, reason for being antiretroviral-naïve, presence/absence of liver disease, presence/absence of a new AIDS-defining disease, and clinical centre. High levels of HIV-RNA and low CD4 counts were also the most important predictors of starting with > or = 3 drugs, compared to < 3 drugs, and men had an independent higher probability of starting with > or = 3 drugs, compared to women. The probability of starting with > or = 3 drugs significantly increased with calendar time. CONCLUSIONS: CD4 and HIV-RNA were the main cofactors of initiating both any type of therapy and therapy with > or = 3 drugs. The large variability among clinical centres suggests that clinicians are uncertain as to the exact timing of beginning therapy and the specific regimen, especially among women.


Subject(s)
Anti-HIV Agents/therapeutic use , HIV Infections/drug therapy , Adolescent , Adult , Aged , Anti-HIV Agents/administration & dosage , Antiretroviral Therapy, Highly Active/statistics & numerical data , Antiretroviral Therapy, Highly Active/trends , CD4 Lymphocyte Count , Cohort Studies , Demography , Disease Management , Female , HIV/genetics , HIV Infections/blood , HIV Infections/epidemiology , HIV Infections/immunology , HIV Infections/virology , Humans , Italy , Logistic Models , Longitudinal Studies , Male , Middle Aged , Multicenter Studies as Topic , RNA Virus Infections/drug therapy , RNA, Viral/analysis , Sex Factors
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