Interventional cardiovascular procedures among HIV-infected individuals on antiretroviral therapy 1995–2000
Bibliographic record
Abstract
OBJECTIVE: To calculate the rate of interventional cardiac procedures (ICP) among HIV-infected individuals ever treated with antiretroviral therapy (ART) and to describe clinical and sociodemographic characteristics associated with ICP. METHODS: Since 1992, ART in British Columbia (BC) has been centrally distributed by the BC Centre for Excellence in HIV/AIDS. The BC Cardiac Registry maintains information regarding all cardiac procedures performed in BC. The two databases were linked to determine the number of HIV-positive individuals on ART who underwent ICP. Age-adjusted analyses were conducted using direct standardization, and linear regression to test for trend over time. Logistic regression was used to identify patient and treatment characteristics independently associated with having an interventional cardiac procedure. RESULTS: Of the 5082 individuals who have ever received ART, 63 (< 1%) were captured in the Cardiac Registry. There were 97 events: 70 (72%) since 1999. The age-adjusted event rate per 1000 HIV-positive individuals on ART increased significantly over time (P = 0.015) whereas that for the general BC population did not increase over time (P = 0.191). In multivariate analysis, age at baseline per 10 year increase [adjusted odds ratio (AOR) 2.5; 95% confidence interval (CI), 1.8-3.2), and months on ART (AOR 1.3; 95% CI, 1.1-1.4) remained significant. CONCLUSIONS: The rate of ICP among HIV-positive individuals on ART appears to be increasing; in addition, the duration of time on ART is independently associated with ICP after adjustment for patient demographic characteristics.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".