Effects of Lipid‐Lowering and Antihypertensive Treatments in Addition to Healthy Lifestyles in Primary Prevention: An Analysis of the HOPE‐3 Trial
Bibliographic record
Abstract
BACKGROUND: It is not clear whether the effects of lipid-lowering or antihypertensive medications are influenced by adherence to healthy lifestyle factors. We assessed the effects of both drug interventions in subgroups by the number of healthy lifestyle factors in participants in the HOPE-3 (Heart Outcomes Prevention Evaluation) trial. METHODS AND RESULTS: In this primary prevention trial, 4 healthy lifestyle factors (nonsmoking status, physical activity, optimal body weight, and healthy diet) were recorded in 12 521 participants who were at intermediate risk of cardiovascular disease (CVD) and were randomized to rosuvastatin, candesartan/hydrochlorothiazide, their combination, or matched placebos. Median follow-up was 5.6 years. The outcome was a composite of CVD events. Adjusted hazard ratios (HRs) and 95% confidence intervals (CIs) were estimated using Cox regression models. Participants with ≥2 healthy lifestyle factors had a lower rate of CVD compared with those with fewer factors (HR: 0.85; 95% CI, 0.73-1.00). Rosuvastatin reduced CVD events in participants with ≥2 healthy lifestyle factors (HR: 0.74; 95% CI, 0.62-0.90) and in participants with <2 factors (HR: 0.79; 95% CI, 0.61-1.01). Consistent results were observed with combination therapy (≥2 factors: HR: 0.74; 95% CI, 0.57-0.97; <2 factors: HR: 0.61; 95% CI, 0.43-0.88). Candesartan/hydrochlorothiazide tends to reduce CVD only in participants with <2 healthy lifestyle factors (HR: 0.78; 95% CI, 0.61-1.00). CONCLUSIONS: Healthy lifestyles are associated with lower CVD. Rosuvastatin alone and combined with candesartan/hydrochlorothiazide is beneficial regardless of healthy lifestyle status; however, the benefit of antihypertensive treatment appears to be limited to patients with less healthy lifestyles. CLINICAL TRIAL REGISTRATION: URL: https://www.clinicaltrials.gov. Unique identifier: NCT00239681.
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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 | 0.007 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.005 | 0.008 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".