The prognostic value of baseline CD4+ cell count beyond 6 months of antiretroviral therapy in HIV-positive patients in a resource-limited setting
Bibliographic record
Abstract
OBJECTIVE: The risk of death is highest in the first few months after initiation of antiretroviral therapy (ART). We examined whether initial CD4 cell count maintains a strong prognostic value among patients with at least 6 months follow-up after the initiation of ART. DESIGN: Observational study of HIV patients in Uganda aged 14 years or older enrolled in 10 clinics across Uganda. METHODS: Baseline CD4 cell count of patients with more than 6 months of follow-up were stratified into categories (<50, 50-99, 100-149, 150-249, >250 cells/μl). A Kaplan-Meier survival analysis and Cox proportional hazards regression was used to model the associations between baseline CD4 cell count and mortality. RESULTS: Of 22 315 patients, 20 730 (92.8%) had more than 6 months of follow-up. Six hundred and eleven (2.9%) patients died during follow-up and 737 (3.6%) were lost to follow-up. Relative to a baseline CD4 cell counts of less than 50 cells/μl, the adjusted hazard ratios for death were 0.83 [95% confidence interval (CI) 0.67-1.02], 0.71 (95% CI 0.57-0.88), 0.52 (95% CI 0.42-0.64), and 0.55 (95% CI 0.42-0.70) favouring those with baseline CD4 cell counts of 50-99, 100-149, 150-249, and at least 250 cells/μl, respectively. Differing ages and male sex increased the likelihood of mortality. CONCLUSION: Among patients with more than 6 months of follow-up after initiation of ART, baseline CD4 cell count at initiation still has important prognostic value. This suggests that active engagement and earlier treatment initiation is important for long-term survival.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".