Trends in Black-White Differences of Antihypertensive Treatment in Individuals With and Without History of Stroke
Bibliographic record
Abstract
BACKGROUND: Recent hypertension guidelines for the general population have included race-specific recommendations for antihypertensives, whereas current stroke-specific recommendations for antihypertensives do not vary by race. The impact of these guidelines on antihypertensive regimen changes over time, and if this has varied by prevalent stroke status, is unclear. METHODS: The use of antihypertensive medications was studied cross-sectionally among self-identified Black and White participants, aged ≥45 years, with and without history of stroke, from the REGARDS study (Reasons for Geographic and Racial Differences in Stroke). Participants completed an in-home examination in 2003-2007 (visit 1) with/without an examination in 2013-2016 (visit 2). Stratified by prevalent stroke status, logistic regression mixed models examined associations between antihypertensive class use for visit 2 versus visit 1 and Black versus White individuals with an interaction adjusted for demographics, socioeconomic status, and vascular risk factors/vital signs. RESULTS: Of 17 244 stroke-free participants at visit 1, Black participants had greater adjusted odds of angiotensin-converting enzyme inhibitor usage than White participants (odds ratio [OR], 1.51 [95% CI, 1.30-1.77]). This difference was smaller in the 7476 stroke-free participants at visit 2 (OR, 1.16 [95% CI, 1.08-1.25]). In stroke-free participants at visit 1, Black participants had lower odds of calcium channel blocker (CCB) usage than White participants (OR, 0.47 [95% CI, 0.41-0.55]), but CCB usage did not differ significantly between Black and White stroke-free participants at visit 2 (OR, 1.02 [95% CI, 0.95-1.09]). Among 1437 stroke survivor participants at visit 1, Black participants had lower odds of CCB use than White participants (OR, 0.34 [95% CI, 0.26-0.45]). In 689 stroke survivor participants at visit 2, CCB use did not differ between Black and White participants (OR, 0.80 [95% CI, 0.61-1.06]). CONCLUSIONS: Racial differences in the use of guideline-recommended antihypertensives decreased between 2003-2007 and 2013-2016 in stroke-free individuals. In stroke survivors, racial differences in CCB usage narrowed over the time periods. These findings suggest there is still a mismatch between race-specific hypertension guidelines and recent clinical practice.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".