Causes of death in people living with HIV in the post 95 -95 -95 era: Lessons from five AIDS Healthcare Foundation clinics in Eswatini
Bibliographic record
Abstract
Abstract Background Eswatini has a high HIV prevalence in adults (24.8%), and despite achieving HIV epidemic control, AIDS-related deaths are still high at 200 per 100,000 population. This study, therefore, describes the causes of death among people living with HIV (PLHIV) receiving care at five clinics in Eswatini. Methods Data of clients receiving antiretroviral therapy (ART) from five AIDS Healthcare Foundation (AHF) Clinics in Eswatini who died was analysed to describe the causes of death. Clients' records were included if they received treatment from any of the five clinics from January 1, 2021, to June 30, 2022. Clients' sociodemographic, clinical, and specific cause of death data were extracted from their clinical records into an Excel spreadsheet for mortality reporting and audits. The different causes of death were categorised and descriptive, and comparative analysis was done using Stata 15 and R. Odds ratio significant at p<0.05 (with 95% confidence interval) to estimate the different associations between the client's characteristics and the four leading causes of death. Results Of 257 clients, 52.5% (n=135) were males, and the median age was 47 years (IQR: 38, 59). The leading causes of death were non-communicable diseases (NCDs) (n=59, 23.0%), malignancies (n=37, 14.4%), Covid-19 (n=36, 14.0%) and advanced HIV disease (AHD) (n=24, 9.3%). Patients aged ≥60 years (OR 0.08; 95% CI: 0.004, 0.44) had lower odds of death from AHD than ≥40 years, and those who had been on ART for 12 – 60 months (OR 0.01; 95% CI: 0.0006, 0.06) and >60 months (OR 0.006; 95% CI: 0.0003, 0.029) had lower odds of death from AHD compared to those on ART for <12 months. Patients aged ≥40 years had higher odds of dying from COVID-19, while females (OR 2.64; 95% CI: 1.29, 5.70) had higher odds of death from malignancy. Conclusion Most patients who died were aged 40 years and above and died from an NCD, malignancy, COVID-19 and AHD-related cause. This indicates a need to expandprevention, screening, and integration of treatment for NCDs and cancers into HIV services. Specific interventions targeting younger PLHIV will limit their risks for AHD.
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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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".