First Occurrence of Diabetes, Chronic Kidney Disease, and Hypertension Among North American HIV-Infected Adults, 2000–2013
Bibliographic record
Abstract
Background: There remains concern regarding the occurrence of noncommunicable diseases (NCDs) among individuals aging with human immunodeficiency virus (HIV), but few studies have described whether disparities between demographic subgroups are present among individuals on antiretroviral therapy (ART) with access to care. Methods: We assessed the first documented occurrence of type 2 diabetes mellitus (DM), chronic kidney disease (CKD), and treated hypertension (HTN) by age, sex, and race within the North American AIDS Cohort Collaboration on Research and Design (NA-ACCORD). HIV-infected adults (≥18 years) who initiated ART were observed for first NCD occurrence between 1 January 2000 and 31 December 2013. Cumulative incidences as of age 70 were estimated accounting for the competing risk of death; Poisson regression was used to compare rates of NCD occurrence by demographic subgroup. Results: We included >50000 persons with >250000 person-years of follow-up. Median follow-up was 4.7 (interquartile range, 2.4–8.1) years. Rates of first occurrence (per 100 person-years) were 1.2 for DM, 0.6 for CKD, and 2.6 for HTN. Relative to non-black women, the cumulative incidences were increased in black women (68% vs 51% for HTN, 52% vs 41% for DM, and 38% vs 35% for CKD; all P < .001); this disparity was also found among men (73% vs 60% for HTN, 44% vs 34% for DM, and 30% vs 25% for CKD; all P < .001). Conclusions: Racial disparities in the occurrence of DM, CKD, and HTN emphasize the need for prevention and treatment options for these HIV populations receiving care in North America.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| 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".