Treatment Durability, Effectiveness, and Safety with Atazanavir/Ritonavir-Based HAART Regimen in Treatment-Naïve HIV-lnfected Patients
Bibliographic record
Abstract
PURPOSE: To describe the durability of treatment, virological and immunological response, and safety of an atazanavir/ritonavir (ATV/RTV)-based highly active antiretroviral therapy (HAART) regimen in treatment-naïve HIV-infected patients. METHODS: This was a multicentre retrospective study. Medical charts of antiretroviral-na'i've HIV-infected adults who initiated ATV/RTV (300/100 mg) from January 2004 to December 2007 in 10 Canadian clinics were reviewed. Data were collected from time of ATV/RTV treatment initiation until discontinuation of ATV. Durability of treatment and time to virological response were estimated with Kaplan-Meier functions. Change in viral load, CD4 cell counts, and lipid parameters were assessed with linear regression analyses. RESULTS: 176 patients were enrolled, 153 (86.9%) were male, and the majority (52.3%) were 40 to 54 years old. Duration of observation ranged from 1.6 to 56 months. The mean (SE) durability of treatment was 33.5 (0.7) months. There were 37 (21.0%) patients who discontinued ATV/ RTV, among whom 18 (10.2%) discontinued due to toxicity, suboptimal virological response, loss to follow-up, or death. The mean (SE) time to HIV viral load of <50 and <400 copies/mL was 6.6 (0.4) and 4.3 (0.3) months, respectively. At 96 weeks of treatment, least squares mean (LSM) estimated change in log10(HIV copies/mL) was -2.94 (P < .001) and +245 cells/mL (P < .001) for CD4 cell count. A significant LSM increase in HDL-C of 0.24 mmol/L (P = .007 for trend over time) was also observed; total cholesterol, triglycerides, and LDL-C increased over time but their change did not reach statistical significance. The most frequently reported adverse event was increased bilirubin (16.5%). CONCLUSIONS: ATV/RTV-based first-line HAART regimen demonstrated durability and effectiveness and was well tolerated in treatment-naïve HIV-infected patients.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".