Lipid-Lowering Therapy in Post-Acute Coronary Syndrome Patients: An Observational Study
Bibliographic record
Abstract
Background: Cardiovascular disease remains a major cause of morbidity and mortality globally. International guidelines recommend aggressive lipid-lowering therapy (LLT) in patients with atherosclerotic cardiovascular disease (ASCVD), targeting a low-density lipoprotein cholesterol (LDL-C) level of < 55 mg/dL and a ≥ 50% reduction from baseline. However, real-world studies continue to show suboptimal LDL-C target achievement. This study aimed to assess the proportion of post-acute coronary syndrome (ACS) patients achieving both LDL-C < 55 mg/dL and a ≥ 50% reduction from baseline at 6 months. A secondary objective was to evaluate target achievement after 1 year and analyze outcomes across different LLT regimens. Methods: We conducted a retrospective cohort study at a single tertiary center, including patients aged ≥ 18 years who presented with ACS between January 2021 and January 2022, underwent percutaneous coronary intervention (PCI), and had documented LDL-C levels at baseline and at least one follow-up within 12 months. Patients with baseline LDL-C ≤ 55 mg/dL or on ongoing LLT were excluded. Results: A total of 122 patients were included (mean age 63.5 years; 59.8% had both diabetes and hypertension). At 6 months, only 13/82 patients (15.9%) achieved the primary LDL-C target. The highest achievement was seen in the rosuvastatin + ezetimibe group (30.0%), followed by rosuvastatin (17.9%), atorvastatin + ezetimibe (14.3%), and atorvastatin monotherapy (14.0%). A ≥ 50% LDL-C reduction without meeting the < 55 mg/dL threshold was observed in 24/82 patients (29.3%). Conclusions: LDL-C target achievement remains low among post-ACS patients despite high-intensity statin use. Combination therapy with rosuvastatin + ezetimibe showed more favorable outcomes, particularly in older adults. These findings underscore the need for structured follow-up, treatment intensification, and broader use of advanced therapies such as proprotein convertase subtilisin/kexin type 9 (PCSK9) inhibitors to close the real-world treatment gap.
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How this classification was reachedexpand
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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".