Abstract WP518: Use of American Heart Association/American Stroke Association Secondary Stroke Prevention Recommendations in Hispanic/Latino Adults With Stroke/TIA: The Hispanic Community Health Study/Study of Latinos
Bibliographic record
Abstract
Background: Population studies showed that Hispanic/Latino adults have elevated rates of uncontrolled cardiovascular risk factors (CVRFs) with noticeable sex-specific variations . We investigated prevalence of CVRFs and the use of American Heart Association (AHA) secondary stroke prevention strategies in Hispanics/Latinos in the United States. Methods: Data from the Hispanic Community Health Study/Study of Latinos (HCHS/SOL) were used to examine sociodemographic characteristics, use of antithrombotic agents and statins, and treatment of CVRFs in persons with a history of stroke or transient ischemic attack (TIA). CVRFs were categorized as “controlled” if the CVRF met the goals defined by the AHA irrespective of whether the subject was on treatment for it or not; and “unaware” if the participant denied having a CVRF but met the diagnostic criteria for it. Differences between men and women were tested using ANOVA test and Pearson’s χ 2 . Factors associated with adherence to AHA recommendations were investigated using logistic regression. Results: These analyses included 404 individuals with history of stroke/TIA (men=159; women=245). Women were slightly older than men (55.1±1.5 vs. 54.1±1.6 years; p<0.0001). The prevalence of hypertension (HTN), hypercholesterolemia (HC), and diabetes (DM) were 59%, 65% and 39%. The rates of awareness/controlled CVRFs were 90%/49%, 75%/32%, and 83%/54% for HTN, HC, and DM, respectively. Approximately 49% of the individuals were on antithrombotic agents, 39% on statins, and 26% on dual treatment with antithrombotics and statins. Rates were comparable between men and women except for HC control which was lower in women (41±6% vs. 23±5%; p=0.02). In logistic regression analysis, older age was associated with poorer adherence to AHA recommendations. Female sex and residence >10 years in the US were associated with uncontrolled HC and DM, respectively. Conclusion: Hispanics/Latinos with stroke have elevated rates of awareness but suboptimal use of AHA secondary stroke prevention strategies. Older persons and women are vulnerable groups that may benefit from targeted interventions.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".