Real-World Insights Into Evolocumab Use in Patients With Hyperlipidemia: Canadian Analysis From the ZERBINI Study
Why this work is in the frame
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Bibliographic record
Abstract
Background: The 2021 Canadian Cardiovascular Society guidelines recommend proprotein convertase subtilisin-kexin type 9 (PCSK9) inhibitor therapy in patients with atherosclerotic cardiovascular disease whose low-density lipoprotein cholesterol (LDL-C) concentration remains ≥ 1.8 mmol/L despite maximally tolerated statin therapy. This retrospective and prospective observational study characterizes Canadian patients treated with evolocumab and describes its effectiveness and safety. Methods: Between August 2017 and July 2019, a total of 131 patients initiated on evolocumab therapy were enrolled at 15 sites in Canada. Data were extracted from medical records every 3 months between 6 months prior to, and for 12 months following evolocumab therapy initiation, until July 6, 2020. Baseline and prospectively collected data are reported as available. Results: A total of 131 patients were enrolled (59.5% male; mean age [standard deviation (SD)] 64.7 ± 10.6 years), most with a diagnosis of atherosclerotic cardiovascular disease and/or familial hypercholesterolemia (93.4%). Mean (± SD) LDL-C concentration at baseline was 3.7 (± 1.7) mmol/L (n = 119), with 58.0% of patients receiving a statin (36.6% high intensity). Mean (± SD) LDL-C concentration after evolocumab treatment was 1.6 (± 1.0) mmol/L (n = 120), representing a 58.7% decrease from baseline (n = 109). This level remained stable over 12 months. An LDL-C concentration < 1.8 mmol/L was achieved by 77.5% of patients. Persistence was 92%, and no serious treatment-emergent adverse events were reported. Conclusions: These findings provide real-world evidence of guideline-recommended initiation of evolocumab therapy, as well as confirmation of its effectiveness and safety in a Canadian population. Evolocumab therapy can address a healthcare gap in the management of dyslipidemia, by increasing the proportion of patients achieving LDL-C goals recommended to lower cardiovascular risk.
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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 | 0.002 |
| 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 it