Incidence of non-AIDS defining comorbidities among young adults with perinatally acquired HIV in North America
Bibliographic record
Abstract
OBJECTIVE: The aim of this study is to describe the incidence of diabetes mellitus type 2 (T2DM), hypercholesterolemia, hypertriglyceridemia, hypertension, and chronic kidney disease (CKD) from 2000 to 2019 among North American adults with perinatally acquired HIV (PHIV) aged 18-30 years. DESIGN: Description of outcomes based on electronic health records for a cohort of 375 young adults with PHIV enrolled in routine HIV care at clinics contributing data to the North American AIDS Cohort Collaboration on Research and Design (NA-ACCORD). METHODS: We estimated overall, sex, and race-stratified cumulative incidences using Turnbull estimation, and incidence rates using quasi-Poisson regression. T2DM was defined as glycosylated hemoglobin more than 6.5% or based on clinical diagnosis and medication use. Hypercholesterolemia was based on medication use or total cholesterol at least 200 mg/dl. Hypertriglyceridemia was based on medication use or fasting triglyceride at least 150 mg/dl or nonfasting at least 200 mg/dl. Hypertension was based on clinical diagnosis. CKD was defined as estimated glomerular filtration rates less than 90 ml/mi|1.73 m 2 for at least 3 months. RESULTS: Cumulative incidence by age 30 and incidence rates from age 18 to 30 (per 100 person-years) were T2DM: 19%, 2.9; hypercholesterolemia: 40%, 4.6; hypertriglyceridemia: 50%, 5.6; hypertension: 22%, 2.0; and CKD: 25%, 3.3. Non-Black women had the highest incidence of hypercholesterolemia and hypertriglyceridemia, Black adults had the highest hypertension incidence, and Black men had the highest CKD incidence. CONCLUSION: There was a high incidence of five chronic comorbidities among people with PHIV. Earlier screening at younger ages might be considered for this unique population to strengthen prevention strategies and initiate treatment in a timely way.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| 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".