Hemodynamic and metabolic responses to valsartan and atenolol in obese hypertensive patients
Bibliographic record
Abstract
OBJECTIVE: None of the current hypertension guidelines provides specific guidance regarding pharmacological management of obese hypertensive patients. Treatment recommendations for lean hypertensives may not be simply extrapolated to obese hypertensive persons. DESIGN: Randomized, double-blind, parallel-group study with a 13-week treatment period. SETTING: Multicenter study in Germany. PATIENTS: Obese patients with mild to moderate uncomplicated essential hypertension. INTERVENTION: Patients were treated with valsartan at a maximal dose of 160 mg/day or with atenolol at a maximal dose of 100 mg/day. Hydrochlorothiazide at doses of 12.5-25 mg was added in patients with blood pressure > 140/90 mmHg on monotherapy. MAIN OUTCOME MEASURES: Blood pressure, lipid and glucose metabolism, and highly sensitive C-reactive protein (hsCRP) were monitored. RESULTS: Sixty-seven patients were randomized to valsartan and 65 patients to atenolol. With valsartan, systolic blood pressure (SBP) decreased from 160.8 +/- 8.9 to 140.5 +/- 13.3 mmHg and diastolic blood pressure (DBP) from 96.1 +/- 7.0 to 85.1 +/- 8.1 mmHg by the end of the study. With atenolol, SBP decreased from 159.3 +/- 6.8 to 139.8 +/- 14.5 mmHg and DBP from 95.0 +/- 6.8 to 83.5 +/- 7.5 mmHg (P = 0.91 for SBP and P = 0.34 for DBP between interventions). Body weight did not change with either treatment. We did not see a significant difference in the response of lipid levels or hsCRP between interventions. To assess the cumulative effect of each intervention on glucose metabolism over the trial duration, we calculated individual areas under the curve for homeostasis model assessment for insulin resistance (HOMA-IR) over time. The resulting area under the curve was significantly smaller with valsartan compared with atenolol (P = 0.02). CONCLUSIONS: Beta-adrenoreceptor blockers and AT1-receptor blockers, particularly in combination with low-dose diuretics, effectively lower blood pressure in obese hypertensives. However, metabolic responses differ between both treatment strategies, with beneficial effects of AT1-receptor blockers. AT1-receptor blockers are a good choice in obese hypertensives, given the profoundly increased diabetes risk in this population.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".