Guideline LDL-C Threshold Achievement in Acute Myocardial Infarction Patients: A Real-World Evidence Study Demonstrating the Impact of Treatment Intensification with PCSK9i
Bibliographic record
Abstract
INTRODUCTION: A high proportion of Canadian patients with acute myocardial infarction (AMI) do not achieve the threshold low-density lipoprotein cholesterol (LDL-C) levels recommended by the Canadian Cardiovascular Society in 2021. This increases the risk of subsequent atherosclerotic cardiovascular disease (ASCVD) events. Here, we assess LDL-C levels and threshold achievement among patients by lipid-lowering therapies (LLT) received post-AMI. METHODS: A retrospective cohort study of patients identified with AMI between 2015 and 2019 was conducted using administrative health databases in Alberta, Canada. Patients were grouped by their highest-intensity LLT post-AMI (proprotein convertase subtilisin/kexin type 9 inhibitors (PCSK9i) + another LLT; PCSK9i alone; ezetimibe + statin; statins (high, moderate, low intensity); or ezetimibe alone), and available LDL-C levels were examined in the year before and after LLT dispense date. RESULTS: The cohort included 15,283 patients. In patients on PCSK9i + LLT, the median [95% confidence interval (CI)] LDL-C levels decreased from 2.7 (2.3-3.4) before to 0.9 (0.5-1.2) mmol/l after treatment, the largest decrease among treatment groups. In the ezetimibe + statin and high-intensity statin groups, median (95% CI) values after treatment were 1.5 (1.5-1.6) and 1.4 (1.4-1.4) mmol/l, respectively. The proportion of patients below the 1.8 mmol/l threshold increased by 77.7% in the PSCK9i + LLT group after treatment, compared to 45.4 and 32.4% in the ezetimibe + statin and high-intensity statin groups, respectively. CONCLUSIONS: Intensification with PCSK9i in AMI patients results in a greater proportion of patients achieving below the recommended LDL-C threshold versus statins and or ezetimibe alone. Increased focus on achieving below the LDL-C thresholds with additional LLT as required may benefit patient cardiovascular outcomes.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.006 | 0.022 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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".