Clinical progression of severely immunosuppressed HIV-infected patients depends on virological and immunological improvement irrespective of baseline status
Bibliographic record
Abstract
OBJECTIVES: The aim of this study was to analyse factors associated with progression to AIDS/death in severely immunosuppressed HIV-infected patients receiving ART. METHODS: This study included naive patients from the PISCIS Cohort with CD4 <200 cells/mm(3) at enrolment and who initiated ART consisting of two nucleoside analogues plus either a PI or an NNRTI between 1998 and 2011. The PISCIS Cohort is a multicentre, observational study of HIV-infected individuals aged >18 years followed at 14 participating hospitals in Catalonia and the Balearic Islands (Spain). Clinical and laboratory parameters were assessed every 3-4 months during follow-up. Cox regression models were used to assess the effect of CD4 and viral load on the risk of progression to AIDS/death, adjusting for baseline variables and confounders. RESULTS: 2295 patients were included and, after 5 years, 69.9% reached CD4 ≥200 cells/mm(3), 64.4% had an undetectable viral load and 482 (21%) progressed to AIDS/death. The lowest rate of disease progression was found in patients who reached both immunological and viral responses during follow-up, regardless of their baseline situation (1.9% in baseline CD4 >100 cells/mm(3) and viral load <5 log copies/mL; 2.3% in baseline CD4 ≤100 cells/mm(3) and/or viral load >5 log copies/mL). Achieving a CD4 count ≥200 cells/mm(3) was the main predictor of decreased progression to AIDS/death. In those not reaching this CD4 threshold, virological response reduced disease progression by half. CONCLUSIONS: Even in the worse baseline scenario of CD4 ≤100 cells/mm(3) and high baseline viral loads, positive virological and immunological responses were associated with dramatic decreases in progression.
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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 | 0.000 | 0.002 |
| 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 | 0.001 |
| 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".