High rates of kidney impairment among older people (≥ 60 years) living with HIV on first-line antiretroviral therapy at screening for a clinical trial in Kenya
Bibliographic record
Abstract
BACKGROUND: There is a paucity of data on kidney impairment among older people living with HIV (PLWH). We evaluated kidney function among PLWH age ≥ 60 years on first-line antiretroviral (ARV) therapy during screening for a clinical trial in Kenya. METHODS: The bictegravir/emtricitabine/tenofovir alafenamide (B/F/TAF) Elderly Study is an open-label, randomized, active-controlled, non-inferiority trial conducted at two sites in Kenya. Potential participants were screened for study entry if they were at least 60 years old, had been on ARVs for at least 24 weeks and had no history of treatment failure. At screening, participants had samples collected for serum creatinine and estimated glomerular filtration rate (eGFR) was calculated using the Chronic Kidney Disease Epidemiology Collaboration 2021 equation. RESULTS: Between January and April 2022, 714 participants were screened and had creatinine measured. All participants were black, 54.1% were female and the median age was 64 years (range 60 to 87 years). Most participants (666 [93.3%]) were on tenofovir disoproxil fumarate-containing regimens, 711 (99.6%) were on dolutegravir-containing regimens, and only 2 (0.3%) were on a regimen with a ritonavir-boosted protease inhibitor. Most participants (686 [96.6%]) were virally suppressed. Treatment for comorbidities was common, with 175 (24.5%) on treatment for hypertension and 39 (5.5%) on treatment for diabetes mellitus. The median eGFR was 64.7 mL/min/1.73m2, and 289 (40.5%) participants had an eGFR < 60 mL/min/1.73m2. In multivariate analysis, factors associated with lower eGFR were female gender (p<0.001), being on treatment for hypertension (p<0.001) and nadir CD4 count < 50 cells/μL (p = 0.008). CONCLUSIONS: Our study identified high rates of impaired kidney function among elderly PLHW in Kenya, which highlights the importance of routine assessment of kidney function and the need to address modifiable risk factors, use of appropriate ARVs, and management of kidney disease in this population.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.009 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".