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.
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.
Authors: C C Carpenter; M A Fischl; S M Hammer; M S Hirsch; D M Jacobsen; D A Katzenstein; J S Montaner; D D Richman; M S Saag; R T Schooley; M A Thompson; S Vella; P G Yeni; P A Volberding Journal: JAMA Date: 1997-06-25 Impact factor: 56.272
Authors: F J Palella; K M Delaney; A C Moorman; M O Loveless; J Fuhrer; G A Satten; D J Aschman; S D Holmberg Journal: N Engl J Med Date: 1998-03-26 Impact factor: 91.245
Authors: S M Hammer; K E Squires; M D Hughes; J M Grimes; L M Demeter; J S Currier; J J Eron; J E Feinberg; H H Balfour; L R Deyton; J A Chodakewitz; M A Fischl Journal: N Engl J Med Date: 1997-09-11 Impact factor: 91.245
Authors: A Mocroft; S Vella; T L Benfield; A Chiesi; V Miller; P Gargalianos; A d'Arminio Monforte; I Yust; J N Bruun; A N Phillips; J D Lundgren Journal: Lancet Date: 1998-11-28 Impact factor: 79.321