Recurrent atherosclerotic cardiovascular disease events preventable with guideline recommended lipid-lowering treatment following myocardial infarction
Bibliographic record
Abstract
Abstract Background The 2018 American Heart Association/American College of Cardiology (AHA/ACC) cholesterol guideline provides recommendations for lipid-lowering therapy (LLT) including statins, ezetimibe and proprotein convertase subtilisin/kexin type 9 inhibitor (PCSK9i) to prevent recurrent atherosclerotic cardiovascular disease (ASCVD) events in adults with established ASCVD. Many adults with ASCVD who are recommended to take statins, ezetimibe and/or PCSK9i do not receive these medications. Purpose To estimate the number of recurrent ASCVD events potentially prevented by population-wide use of guideline recommended LLT following a myocardial infarction (MI). Methods We simulated the population-wide impact of receipt of 2018 AHA/ACC cholesterol guideline recommended LLT over 3 and 5 years among US adults with government health insurance through Medicare or commercial health insurance following hospital discharge for MI. We used data from patients with an MI hospitalization in 2018–2019 to estimate the percentage receiving guideline recommended LLT defined by having the medications available to take in the 30 days after their discharge date. We used data from patients with an MI hospitalization in 2013–2016 to estimate the 3 and 5-year cumulative incidence of recurrent ASCVD events (i.e., MI, coronary revascularization or ischemic stroke). The reduction in ASCVD events associated with guideline recommended LLT was estimated from a meta-analysis by the Cholesterol-Lowering Treatment Trialists Collaboration. We conducted a sensitivity analysis estimating the number and percentage of ASCVD events prevented if LLT recommendations from the 2019 European Society of Cardiology/European Atherosclerosis Society (ESC/EAS) cholesterol guideline were followed. We repeated all analyses with recurrent coronary heart disease (i.e., MI or coronary revascularization) and ischemic stroke events as separate outcomes. Results Among 279,395 adults with an MI hospitalization in 2018–2019 (mean age 75 years, 54% men, mean low-density lipoprotein cholesterol 92 mg/dL), 27% were receiving guideline recommended LLT. With current lipid-lowering medication use, we estimated that 70,698 (95% CI: 70,311–71,077) and 89,255 (95% CI: 88,841–89,730) ASCVD events would occur in 3 and 5 years, respectively, after MI hospital discharge (Table, top panel). If all patients were to receive 2018 AHA/ACC guideline recommended LLT, the number of ASCVD events was estimated to be reduced by 21.6%, representing 15,264 (95% CI: 14,451–16,679) events prevented over 3 years and 19,271 (95% CI: 18,245–21,055) events prevented over 5 years. A higher number of recurrent ASCVD events were estimated to be averted following the LLT recommendations of the 2019 ESC/EAS cholesterol guideline (Table, bottom panel). Conclusions Population-wide implementation of guideline recommended LLT in adults with an MI hospitalization could prevent a substantial number of recurrent ASCVD events. Funding Acknowledgement Type of funding sources: Private company. Main funding source(s): Amgen Inc.
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 | 0.008 | 0.028 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.011 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".