Optimal or standard control of systolic and diastolic blood pressure across risk factor categories in patients with chronic coronary syndromes
Bibliographic record
Abstract
AIMS: Guidelines have lowered blood pressure (BP) targets to <130/80 mmHg. We examined the benefit of intensive control for each BP component, vs. the burden of other modifiable risk factors, in patients with chronic coronary syndromes (CCS). METHODS AND RESULTS: The CLARIFY registry (ISRCTN43070564) enrolled 32 703 patients with CCS, from 2009 to 2010, with a 5-year follow-up. Patients with either BP component below European guideline safety boundaries (120/70 mmHg) were excluded, leaving 19 167 patients (mean age: 63.8 ± 10.1 years, 78% men) in the present analysis. A multivariable-adjusted Cox proportional hazards model showed a gradual increase in cardiovascular risk (cardiovascular death, myocardial infarction, or stroke) when the number of uncontrolled risk factors (active smoking, no physical activity, low-density lipoprotein cholesterol ≥100 mg/dL, and diabetes with glycated haemoglobin ≥7%) increased [adjusted hazard ratio (HR): 1.34; 95% confidence interval (CI): 1.17-1.52, 1.65 (1.40-1.94), and 2.47 (1.90-3.21) for 1, 2, and 3 or 4 uncontrolled risk factors, respectively, vs. 0], without significant interaction with BP. Although uncontrolled systolic (≥140 mmHg) and diastolic (≥90 mmHg) BP were both associated with higher risk than standard BP, standard BP was associated with higher risk than optimal control for only the diastolic component (adjusted HR: 1.08; 95% CI: 0.94-1.25 for systolic BP 130-139 vs. 120-129 mmHg and 1.43; 95% CI: 1.27-1.62 for diastolic BP 80-89 vs. 70-79 mmHg). CONCLUSIONS: Our results suggest that the optimal BP target in CCS may be ≤139/79 mmHg and that optimizing the burden of other risk factors should be prioritized over the further reduction of systolic BP.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".