Rate of dyslipidemia higher among women living with HIV: A comparison of metabolic and cardiovascular health in a cohort to study aging in HIV
Bibliographic record
Abstract
OBJECTIVES: Combination antiretroviral therapy has largely restored the lifespan of persons living with HIV. Data suggest early comorbidities of aging in this population. Past studies focused on men; limited data exist regarding the prevalence of dyslipidaemia in women living with HIV (WLWH). We investigated the prevalence of cardiometabolic abnormalities among WLWH and HIV-negative women in the Children and Women: Antiretrovirals and Markers of Aging (CARMA) cohort, and their relationships to cellular aging markers. METHODS: We conducted a cross-sectional analysis of nonpregnant female patients (156 WLWH and 133 HIV-negative controls, aged 12-69 years) enrolled in CARMA between 2013 and 2017. The Framingham risk score (FRS) and the prevalences of hypertension, diabetes, metabolic syndrome and dyslipideamia were determined using self-report, anthropometrics, chart review and laboratory data. Cellular aging was determined by assessing leukocyte telomere length and blood mitochondrial DNA content. Diagnoses were based on current Canadian guidelines and definitions. RESULTS: HIV-infected status was associated with dyslipidaemia [odds ratio (OR) 2.89; 95% confidence interval (CI) 1.69-5.01], but not diabetes, higher FRS, hypertension or metabolic syndrome. The median age was 43.5 [interquartile range (IQR) 36.8-50.9] years in WLWH and 46.2 (IQR 30.3-54.9) years in HIV-negative controls. WLWH were less likely to be menopausal or use alcohol, and more often had hepatitis C virus infection or a current or past smoking history. Lower mitochondrial DNA content was associated with metabolic syndrome; no other associations were noted between cardiometabolic abnormalities and markers of cellular aging. CONCLUSIONS: Despite their relatively young age, almost two-thirds of WLWH had dyslipidaemia, a significantly greater proportion than in controls. Strategies to address dyslipidaemia and decrease smoking rates may improve long-term outcomes among WLWH.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".