Dyslipidemia among rural and urban HIV patients in south-east Malawi
Bibliographic record
Abstract
BACKGROUND: While dyslipidemia importantly contributes to increased cardiovascular disease risk among patients on antiretroviral therapy (ART), data on lipid patterns among African adults on ART are limited. We describe the prevalence of lipid abnormalities and associated factors in two HIV clinics in Malawi. METHODS: We conducted a cross-sectional study in 2014 and enrolled adult patients at a rural and an urban HIV clinic in Zomba district, Malawi. We recorded patient characteristics, CVD risk factors and anthropometric measurements, using the WHO STEPS validated instrument. Non-fasting samples were taken for determination of total cholesterol (TC), triglyceride (TG) and HDL-cholesterol (HDL-c) levels. Logistic regression analysis was used to determine factors associated with elevated TC and elevated TC/HDL-c ratio. RESULTS: 554 patients were enrolled, 50% at the rural HIV clinic, 72.7% were female, the median (IQR) age was 42 years (36-50); 97.3% were on ART, 84.4% on tenofovir/lamivudine/efavirenz, 17.5% were overweight/obese and 27.8%% had elevated waist/hip ratio. 15.5% had elevated TC, 15.9% reduced HDL-c, 28.7% had elevated TG and 3.8% had elevated TC/HDL-c ratio. Lipid abnormalities were similar in rural and urban patients. Women had significantly higher burden of elevated TC and TG whereas men had higher prevalence of reduced HDL-c. Waist-to-hip ratio was independently associated with elevated TC (aOR = 1.90; 95% CI: 1.17-3.10, p = 0.01) and elevated TC/HDL-c ratio (aOR = 3.50; 95% CI: 1.38-8.85, p = 0.008). Increasing age was independently associated with elevated TC level (aOR = 1.54, 95% CI 0.51-4.59 for age 31-45; aOR = 3.69, 95% CI 1.24-10.95 for age >45 years vs. ≤30 years; p-trend <0.01). CONCLUSIONS: We found a moderate burden of dyslipidemia among Malawian adults on ART, which was similar in rural and urban patients but differed significantly between men and women. High waist-hip ratio predicted elevated TC and elevated TC/HDL-c ratio and may be a practical tool for CVD risk indication in resource limited settings.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".