Abstract 17534: HIV-Infected Patients Exhibit a Worse Cardiovascular Risk Profile After a First Episode of Acute Coronary Syndrome
Bibliographic record
Abstract
Purpose: The PACS-HIV study was designed to determine the 3-year prognosis of acute coronary syndrome (ACS) in HIV-infected patients (HIV+) as compared to HIV- in a prospective observational study. We report the cardiovascular risk profile after the index ACS. Methods: We enrolled 103 HIV-infected and 195 HIV-uninfected patients with a first episode of ACS matched for age (± 5 years), sex, and type of ACS. During follow up, cardiovascular risk factors including lipid parameters, tobacco consumption were collected. Univariate conditional logistic regression was used to compare variables and stratified multivariate Cox models were performed. Results: The mean age at enrolment was 49.0 ± 9.4 years and 94% were men. At admission, coronary risk factors were well balanced between the 2 groups except for a higher rate of illicit drug used and hypertriglyceridaemia in the HIV+ group. At 3-year follow up, HIV+ patient exert a higher rate of recurrent ACS as compared with HIV- patients (univariate HR 3.4; 95% CI [1.3-8.8]). At long term, HIV+ exhibit a worse cardiovascular risk profile with more smokers and worse atherogenic lipid profile (Table). Incident cases of hypertension and diabetes tend to be higher in the HIV+ group (16.2/1000 persons per year (PY) vs 9.1/1000 PY, RR (HIV+ / HIV-)=1.8, IC 95% =[0.4-7.1] 41.0/1000 PY vs 21.9/1000PY, RR (HIV+ / HIV-)=1.9, IC 95% =[0.8-4.3], respectively). Stratified multivariable Cox model showed that HIV status, total cholesterol and LDLc were associated with the recurrence of ACS (Table). Conclusions: At long-term follow-up after ACS, HIV+ exhibit higher residual cardiovascular risk. HIV infection and atherogenic lipid profile were associated with an increased risk of ACS. Secondary prevention should focus on smoking cessation and strict LDL goal in HIV+. Table. Cardiovascular risk factors at 3-year follow Multivariate analysis associated with increased risk of recurrent ACS Values expressed as n (%) , *time-dependent covariates
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".