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1.
Med Mycol ; 46(4): 393-5, 2008 Jun.
Article in English | MEDLINE | ID: mdl-18415850

ABSTRACT

An all oral treatment for cryptococcal meningitis is attractive, particularly where amphotericin B use is impractical. Both fluconazole and flucytosine are available in oral formulations and have activity against Cryptococcus neoformans. We conducted a prospective phase II dose escalation study employing doses of fluconazole ranging from 800 to 2000 mg daily for 10 weeks used alone or combined with flucytosine at 100 mg/kg per day for the first 4 weeks. We found that increasing doses of fluconazole were associated with an increase in survival and a decrease in the time to conversion of the cerebrospinal fluid from culture positive to culture negative. Addition of flucytosine to fluconazole improved outcomes in each dosing cohort. High doses of fluconazole alone or combined with flucytosine were well tolerated.


Subject(s)
AIDS-Related Opportunistic Infections/drug therapy , Antifungal Agents/therapeutic use , Fluconazole/therapeutic use , Flucytosine/therapeutic use , Meningitis, Cryptococcal/drug therapy , AIDS-Related Opportunistic Infections/cerebrospinal fluid , Administration, Oral , Adult , Antifungal Agents/adverse effects , Cohort Studies , Dose-Response Relationship, Drug , Drug Therapy, Combination , Fluconazole/adverse effects , Flucytosine/adverse effects , Humans , Male , Meningitis, Cryptococcal/cerebrospinal fluid , Nausea/chemically induced , Prospective Studies , Treatment Outcome , Vomiting/chemically induced
2.
J Acquir Immune Defic Syndr ; 46(4): 433-42, 2007 Dec 01.
Article in English | MEDLINE | ID: mdl-17786128

ABSTRACT

OBJECTIVE: To improve the utility of therapeutic drug monitoring (TDM) by defining the proportion of patients with and predictors of above or below target protease inhibitor (PI) or nonnucleoside reverse transcriptase inhibitor (NNRTI) concentrations. METHODS: This 48-week, multicenter, open-label clinical trial randomized patients to TDM versus standard of care (SOC). Serial pharmacokinetics, including a week-2 3-sample sparse collection, and expert committee TDM recommendations were given to TDM-arm patients' providers. RESULTS: Seventy-four (39%) of 190 patients had week-2 concentrations outside of targets and 122 (64%) of 190 had nontarget exposure at least once over 48 weeks. Providers accepted 75% of TDM recommendations. Among patients with below-target concentrations, more TDM-arm than SOC-arm patients achieved targets (65% vs. 45%; P = 0.09). Increased body weight and efavirenz or lopinavir/ritonavir use were significant predictors of nontarget concentrations. Patients at target and patients who achieved targets after TDM-directed dose modifications trended toward greater viral load reductions at week 48 than patients with below-target exposures (HIV RNA reductions: 2.4, 2.3, and 1.9 log10 copies/mL, respectively; P = 0.09). CONCLUSIONS: Most patients had nontarget PI and/or NNRTI concentrations over 48 weeks. TDM recommendations were well accepted and improved exposure. Patients below TDM targets trended toward worse virologic response.


Subject(s)
Anti-HIV Agents/pharmacokinetics , Anti-HIV Agents/therapeutic use , Drug Monitoring/methods , HIV Infections/drug therapy , Adult , Algorithms , Body Mass Index , CD4 Lymphocyte Count , Female , HIV Protease Inhibitors/adverse effects , HIV Protease Inhibitors/pharmacokinetics , HIV-1 , Humans , Male , Middle Aged , Racial Groups , Reverse Transcriptase Inhibitors/adverse effects , Reverse Transcriptase Inhibitors/pharmacokinetics
3.
AIDS ; 20(9): 1295-302, 2006 Jun 12.
Article in English | MEDLINE | ID: mdl-16816559

ABSTRACT

OBJECTIVE: We conducted a randomized, multi-site, controlled trial of a cognitive-behavioral adherence intervention for patients initiating or changing an antiretroviral (ART) regimen. DESIGN: A 3 x 2 factorial design was used with the primary randomization assigning patients (1: 1: 1) to one of two adherence interventions or usual care. METHODS: The five-session adherence interventions consisted of cognitive-behavioral and motivational components, with or without a 2-week pre-treatment placebo practice trial. Intent-to-treat analysis used probability weights and regression tree analysis to account for missing data. RESULTS: A total of 230 patients were randomized; 199 started ART, of whom 74% completed the 48-week study. Electronic monitored adherence outcomes between the two intervention groups did not differ significantly and were thus pooled in analyses. At week 4, 82% of intervention patients had taken at least 90% of their prescribed ART doses, compared with 65% of controls (P < 0.01); this group difference dropped to 12% at week 12 (72 versus 60%; P = 0.15) and 11% at week 24 (66 versus 55%; P = 0.28). Mean adherence in the intervention group was significantly higher than the control group at week 24 (89 versus 81%; P < 0.05) only. There were no group differences with respect to HIV-1 RNA throughout the study. CONCLUSIONS: The effects of the cognitive-behavioral intervention on adherence were modest and transient, and no effects were observed on viral load or CD4 cell count. More robust effects may require a more intense intervention that combines ongoing adherence monitoring and individualized intervention "dosage" that matches the need and performance of each patient.


Subject(s)
Anti-Retroviral Agents/therapeutic use , Cognitive Behavioral Therapy/methods , HIV Infections/therapy , HIV-1 , Patient Compliance , Adult , Aged , Analysis of Variance , CD4 Lymphocyte Count , Chi-Square Distribution , Female , HIV Infections/immunology , HIV Infections/psychology , Humans , Male , Middle Aged , Treatment Outcome , United States , Viral Load
4.
AIDS ; 19(3): 295-302, 2005 Feb 18.
Article in English | MEDLINE | ID: mdl-15718840

ABSTRACT

OBJECTIVE: To assess phenotype susceptibility testing (PHENO) with standard of care (SOC) to improve antiretroviral therapy. DESIGN: A prospective, multicenter study of 238 patients taking a stable antiretroviral regimen for > 6 months, with one or two protease inhibitors (PI) and entry HIV RNA > 400 copies/ml. METHOD: Patients were randomized to receive or not receive PHENO results for selecting antiretroviral regimens. Primary outcome was HIV RNA measures. RESULTS: At baseline, median CD4 cell count was 277 x 10 cells/l and HIV RNA was 10 000 copies/ml; 76% had not taken a non-nucleoside reverse transcriptase inhibitor drug (NNRTI). There were significant differences between the groups in selection of baseline nucleoside reverse transcriptase inhibitor (NRTI). At month 6, reduction in HIV RNA was 0.71 and 0.69 log10 copies/ml for PHENO and SOC, respectively; the proportion with < 400 copies/ml (48%) was the same for both groups. No differences were seen at month 12. In a subgroup with resistance to four or more PI, 50% of the PHENO versus 17% of the SOC had HIV RNA < 400 copies/ml at month 6 (P = 0.02). The number of NNRTI and PI, but not NRTI, in the regimen that were active by phenotype at baseline was a strong independent predictor of viral suppression (P < 0.006). Use of alternative NRTI sensitivity cut-offs improved their predictive value. CONCLUSIONS: Although virological outcome was similar in both groups, the potential benefit of PHENO was seen in patients with more resistant virus. Lack of appropriate cut-offs may have partially accounted for the lack of benefit from PHENO and demonstrated the need to identify clinically relevant sensitivity cut-off points.


Subject(s)
HIV Infections/drug therapy , HIV Protease Inhibitors/therapeutic use , HIV-1/drug effects , Adult , CD4 Lymphocyte Count , Drug Resistance, Viral , Female , HIV Infections/immunology , HIV Infections/virology , HIV-1/isolation & purification , Humans , Logistic Models , Male , Microbial Sensitivity Tests , Phenotype , Prospective Studies , RNA, Viral/analysis , Treatment Outcome , Viral Load
5.
Antivir Ther ; 9(5): 753-61, 2004 Oct.
Article in English | MEDLINE | ID: mdl-15535413

ABSTRACT

BACKGROUND: Although adherence clearly influences response to antiretroviral therapy (ART), accurate assessment of adherence is problematic. The objective of this analysis was to assess the independent predictive value of protease inhibitor (PI) concentrations as a supplement to self-report as markers of medication adherence. METHODS: This retrospective analysis was conducted from a prospective clinical trial designed to compare the outcomes of frequent versus infrequent HIV RNA measurement used to manage antiretroviral therapy. For 131 patients, self-reported medication adherence, HIV RNA levels, CD4 counts and PI concentrations (unannounced, random samples) were measured at baseline (when patients changed to a new regimen) and every 2 months thereafter. The change in HIV RNA from baseline to month 6 (area-based measure) was used to evaluate overall response. The proportion of measured PI concentrations below the detection limit was used as an alternative marker of adherence. An undetectable concentration would be expected after missing a single dose. RESULTS: The mean baseline CD4 count was 125 cells/mm3 and the mean HIV RNA level was 4.7 log10 copies/ml. The mean change in log10 HIV RNA was -0.73 copies/ml. The mean percentage of self-reported adherence was 91% (range: 15-100%) and the mean proportion of undetectable PI concentrations was 27% (range: 0-100%, mean 2.5 samples/patient). The correlation between the two measures was -0.23 (P=0.009). In a multivariate model, percentage of visits with undetectable PI concentrations (P=0.02), percentage of medication adherence (P=0.02), baseline HIV RNA level (P=0.005), prior PI use (P=0.0004), prior lamivudine (3TC) use (P=0.0009) and randomization to the frequent HIV RNA measurement group (P<0.0001) were all related to change in HIV RNA. After accounting for adherence, patients who always had detectable PI concentrations had an average of 0.4 log10 additional HIV RNA reduction compared with those who had no detectable concentrations. CONCLUSIONS: Repeated, random PI concentration values are independently predictive of virological response and may add to self-report of adherence in understanding the response to ART.


Subject(s)
HIV Infections/drug therapy , HIV Protease Inhibitors/blood , Patient Compliance , Adult , Female , HIV Infections/virology , HIV Protease Inhibitors/therapeutic use , HIV-1/drug effects , HIV-1/physiology , Humans , Male , Middle Aged , Multivariate Analysis , Predictive Value of Tests , Prospective Studies , RNA, Viral/blood , Surveys and Questionnaires
6.
Exp Biol Med (Maywood) ; 229(8): 843-9, 2004 Sep.
Article in English | MEDLINE | ID: mdl-15337840

ABSTRACT

The relationship between oxidative stress and neuronal cell death has been suggested for many years. To understand the influence of oxidative stress on neuronal cell death, we investigated the influence of oxidative stress on DEV cells, a human glial cell line. Using enterovirus infection and/or malnutrition to induce oxidative stress, our results demonstrate that those stressors severely influence the antioxidant defense system in DEV cells. Although the expression of mitochondrial manganese superoxide dismutase (MnSOD) in DEV cells was significantly increased in acute infection with viral and nutritional stress, in persistent infection and nutritional stress, the expression of the MnSOD was drastically downregulated. We believe that this downregulation of MnSOD expression in the chronic stress model is due to repression of antioxidant defense. The downregulation of the MnSOD expression may lead to an increase of free-radical production and thus explain why the cells in the chronic stress model were more vulnerable to other oxidative stress influences. The vulnerability of DEV cells to additional stress factors resulted in progressive cell death, which may be analogous to the cell death in neurodegenerative diseases.


Subject(s)
Echovirus 6, Human/pathogenicity , Enterovirus/pathogenicity , Mitochondria/enzymology , Neuroglia/cytology , Oxidative Stress/physiology , Superoxide Dismutase/genetics , Astrocytes/cytology , Cell Differentiation , Cell Division , Cell Line , Humans , Kinetics , Neuroglia/virology , Nutritional Physiological Phenomena/physiology
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