Determinants of Early and Late Mortality Among HIV-Infected Individuals Receiving Home-Based Antiretroviral Therapy in Rural Uganda
Bibliographic record
Abstract
BACKGROUND: Up to 20% of people initiating antiretroviral therapy (ART) in sub-Saharan Africa die during the first year of treatment. Understanding the clinical conditions associated with mortality could potentially lead to effective interventions to prevent these deaths. METHODS: We examined data from participants aged ≥18 years in the Home-Based AIDS Care project in Tororo, Uganda, to describe mortality over time and to determine clinical conditions associated with death. Survival analysis was used to examine variables associated with mortality at baseline and during follow-up. RESULTS: A total of 112 (9.4%) deaths occurred in 1132 subjects (73% women) during a median of 3.0 years of ART. Mortality was 15.9 per 100 person-years during the first 3 months and declined to 0.3 per 100 person-years beyond 24 months after ART initiation. Tuberculosis (TB) was the most common condition associated with death (21% of deaths), followed by Candida disease (15%). In 43% of deaths, no specific clinical diagnosis was identified. Deaths within 3 months after ART initiation were associated with World Health Organization clinical stage III or IV at baseline, diagnosis of TB at baseline, a diagnosis of a non-TB opportunistic infection in follow-up and a body mass index ≤17 kg/m² during follow-up. Mortality after 3 months of ART was associated with CD4 cell counts <200 cells per microliter, a diagnosis of TB or other opportunistic infection, adherence to therapy <95%, and low hemoglobin levels during follow-up. CONCLUSION: Potentially remediable conditions and preventable infections were associated with mortality while receiving ART in Uganda.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".