Observational study on HIV‐1‐infected patients treated with an ARV combination therapy including raltegravir: the RACING cohort results at month 12
Bibliographic record
Abstract
The French RACING cohort study is a 24‐month, observational, longitudinal, prospective, multicenter study on HIV‐1 infected patients being treated with an antiretroviral combination therapy containing raltegravir. The objectives of this study are to describe the viro‐immunological course, characterize and document adverse events (AEs), describe patient adherence at M6 (month 6) and examine clinical‐biological data for patients undergoing ARV therapy including raltegravir at M12 (month 12). Demographic, viro‐immunological, safety and clinical‐biological data were collected at M6 and M12 and self‐reported patient adherence to treatment regimen at M6. Data from 478 of 482 patients were available at M12. The median age was 45.9 years (IQR: 40.0–52.2), 64.1% were male and the median duration of infection was 13.2 years (IQR: 5.5–21). At the baseline, 64.1% of patients had a cardiovascular risk factor or a history of cardiovascular events and 65.2% had received concomitant treatment (psychotropic drugs: 33.5%, lipid‐lowering drugs: 30% and antihypertensive agents: 24.8%). The virological response, viral load and CD4 cell count are shown in Table 1 (based on data available at M6 and M12). Of the 134 reported and treatment‐related AEs, the symptoms most frequently described (>5%) were myalgia (6.7%) and nausea (5.2%). A total of 34 serious adverse events were reported, of which 5 were possibly or probably related to raltegravir. Self‐reported patient adherence at M6 is described as follows: ‘high’ for 56% of patients, ‘average’ for 36% of patients and ‘low’ for 8% of patients (205 questionnaires). To conclude, in a real‐life setting concerning patients with a strong proportion of co‐morbidity and variation in adherence, the efficacy and safety data observed after 12 months are comparable to the data observed (not shown) in clinical studies. Viro‐immunological data Naïve No previous treatment n=65 Switch Previous treatment with a viral load<50 copies/mL n=258 Failure Previous treatment with a viral load>50 copies/Ml n=151 Median Viral Load (copies/mL) at baseline 64,513 – 1,891 Median CD4 (cells/mm3) at baseline 308 556 365 M6 M12 M6 M12 M6 M12 Virological Response% (HIV‐RNA<50 copies/mL) 77% n=56 87% n=62 92% n=191 94% n=211 70% n=112 73% n=125 Immunological Response Median CD4 count (cells/mm3) 461 n=58 514 n=63 592 n=205 591 n=209 451 n=124 490 n=126
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".