Post Hoc Analysis of the CONFIDENCE II, PROTECT I, SHAKE THE HABIT I and SHAKE THE HABIT II Observational Studies in Mild to Moderate Hypertensive Patients Treated with Perindopril and Atorvastatin Concomitantly
Bibliographic record
Abstract
BACKGROUND AND OBJECTIVES: Management of hypertension and dyslipidemia is important when considering cardiovascular disease risk; however, achievement of optimal lipid and blood pressure (BP) targets in clinical practice remains inadequate. This analysis sought to estimate the frequency, effectiveness, and safety of co-administrated atorvastatin and perindopril in routine care. METHODS: We conducted a post hoc analysis of four Canadian, prospective, multi-center, observational studies assessing real-life effectiveness and safety of perindopril + atorvastatin in mild-to-moderate hypertensive patients with concomitant dyslipidemia over 16 weeks. The safety population comprised patients receiving one or more doses of free combination perindopril + atorvastatin; the full analysis set (FAS) received perindopril + atorvastatin at baseline, with one or more post-baseline systolic BP measurements while on treatment. RESULTS: A total of 3541 and 3172 patients were included in the safety population and FAS, respectively. At the last observation carried forward, significant reductions in mean systolic BP (- 18.0 mmHg; p < 0.001) and diastolic BP (- 8.9 mmHg; p < 0.001) were observed; target BP was achieved by 73.1% of patients. Emergent adverse events (AEs) were reported in 8.0% of patients, the most common being cough (4.5% of patients), headache (0.9%), and dizziness (0.8%). Four serious AEs were reported among three (0.1%) patients. No differences were observed in effectiveness or safety between studies. CONCLUSIONS: Concomitant perindopril + atorvastatin therapy demonstrated similar efficacy across all studies, with significant reductions in BP and achievement of target BP levels observed in a real-world setting. Results align with known safety profiles of atorvastatin and perindopril, with no unexpected AEs observed when compared with data from treatment with the individual drugs.
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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 | 0.026 | 0.028 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.009 |
| Bibliometrics | 0.001 | 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 | 0.001 |
| 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".