Impact of blood pressure lowering, cholesterol lowering and their combination in Asians and non-Asians in those without cardiovascular disease: an analysis of the HOPE 3 study
Bibliographic record
Abstract
Background and design There are limited data on the effects of blood pressure and cholesterol lowering in Asians at intermediate risk and no cardiovascular disease. We report an analysis of the effects of blood pressure and cholesterol lowering in Asians enrolled in the Heart Outcomes Prevention Evaluation 3 (HOPE 3) trial. Methods We randomly assigned 6241 Asians and 6464 non-Asians at intermediate risk without cardiovascular disease to candesartan 16 mg/hydrochlorothiazide 12.5 mg or placebo and rosuvastatin 10 mg or placebo. The first co-primary outcome was a composite of cardiovascular disease death, myocardial infarction and stroke. The second co-primary outcome additionally included heart failure, cardiac arrest and revascularisation. Median follow-up was 5.6 years. Results Reduction in systolic blood pressure was less among Asians (4.3 vs. 7.7 mmHg for non-Asians, P < 0.0001) mainly due to a lesser effect in Chinese (2.1 mmHg) than in other Asians (7.3 mmHg), reduction in the latter being similar to non-Asians. The effect on the composite outcomes was similar, with no significant benefits from blood pressure lowering for either Asians (Chinese or non-Chinese) or non-Asians. Rosuvastatin reduced low-density lipoprotein cholesterol to a lesser degree in Asians (0.49 mmol/L (–19.1 mg/dL) compared with non-Asians 0.95 mmol/L (−36.7 mg/dL), Pinteraction < 0.0004). Yet both groups had similar reductions in the two co-primary outcomes. There was no increase in permanent medication discontinuation due to muscle-related symptoms in either group. There was an excess in new diabetes in non-Asians (4.70% rosuvastatin, 3.52% placebo, P = 0.025) but not in Asians (3.02% rosuvastatin, 4.04% placebo, P = 0.0342), Pinteraction = 0021. Conclusions Candesartan/hydrochlorothiazide had fewer effects in reducing blood pressure in Chinese and rosuvastatin reduced low-density lipoprotein cholesterol to a lesser extent in Asians compared with non-Asians. There was no overall reduction in clinical events with lowering blood pressure in either Asians or non-Asians, whereas there were clear and consistent benefits with lipid lowering in both. Despite extensive analyses, we have no obvious explanation for the observed findings. Future studies need to include larger numbers of individuals from different regions of the world to ensure that the results of trials are applicable globally.
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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 | 0.008 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.009 |
| 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 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".