Effect of Intensive Versus Standard Blood Pressure Lowering on Diastolic Function in Patients With Uncontrolled Hypertension and Diastolic Dysfunction
Bibliographic record
Abstract
Diastolic dysfunction may precede development of heart failure in hypertensive patients. We randomized 228 patients with uncontrolled hypertension, preserved ejection fraction, and diastolic dysfunction to 2 targeted treatment strategies: intensive, with a systolic blood pressure target of <130 mm Hg, or standard, with a systolic blood pressure target of <140 mm Hg, using a combination of valsartan, either 160 or 320 mg, plus amlodipine, either 5 or 10 mg, with other antihypertensive medications as needed. Echocardiographic assessment of diastolic function was performed at baseline and after 24 weeks in a prospective, open-label, blinded end point design. Blood pressure was reduced significantly in both groups, from 161.2+/-13.9/90.1+/-12.0 to 130.8+/-12.3/74.9+/-9.1 mm Hg (P<0.0001) in the intensive arm and from 162.1+/-13.2/93.7+/-12.2 to 137.0+/-12.9/79.6+/-11.0 mm Hg (P<0.0001) in the standard arm (P<0.003 for between-group comparisons). Myocardial relaxation velocity improved from 7.6+/-1.1 to 9.2+/-1.7 cm/s (Delta 1.54+/-1.4 cm/s; P<0.0001) in the intensive arm and from 7.5+/-1.3 to 9.0+/-1.9 cm/s (Delta 1.48+/-1.6 cm/s; P<0.0001) in the standard arm, with no difference between the 2 strategies in the achieved improvement (P=0.58). The degree of improvement in annular relaxation velocity was associated with the extent of systolic blood pressure reduction, and patients with the lowest achieved systolic blood pressure had the highest final diastolic relaxation velocities.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".