Impact of a personalized, strike early and strong lipid-lowering approach on low-density lipoprotein-cholesterol levels and cardiovascular outcome in patients with acute myocardial infarction
Authors' conclusion
The systematic introduction of a personalized, SES strategy for LLT in patients with acute MI led to greater achievement of LDL-C goal and lower risk of MACE at 1 year vs. the stepwise approach.
Study context
- Population
- Patients admitted for acute myocardial infarction (MI)consecutive patients hospitalized across three periods
- Participants
- 500 patients
- Comparison
- Personalized, strike early and strong (SES) strategy for lipid-lowering therapy (LLT) vs. the stepwise approach
- Period An = 198
- Period Bn = 180
- Period Cn = 122
- Outcome
- Achievement of the LDL-C goal during follow-up and 1-year incidence of MACE
- Follow-up
- During ; 1 year
Methodological detailsthree periods
- Three periods
Main finding
As reported in the abstract
| Group | Low-density lipoprotein cholesterol (LDL-C) goal achievement | Major adverse cardiovascular events (MACE) |
|---|---|---|
| Period A | 55% | 12% |
Period A
Low-density lipoprotein cholesterol (LDL-C) goal achievement55%
Major adverse cardiovascular events (MACE)12%
Further findings
Lipid-lowering therapy at discharge
- Higher use of potent statins, alone or in combination with ezetimibe, and of proprotein convertase subtilisin/kexin type 9 inhibitor inhibitors at discharge in Period C
MACE by LDL-C achievement
- MACE rates were lowest in patients with early and sustained LDL-C <55 mg/dL and in those achieving both LDL-C <55 mg/dL and ≥50% LDL-C reduction
Parts of this Brief are withheld: the automatic checks could not confirm them against the abstract.
Original publication
Impact of a personalized, strike early and strong lipid-lowering approach on low-density lipoprotein-cholesterol levels and cardiovascular outcome in patients with acute myocardial infarction. Eur Heart J Cardiovasc Pharmacother. Published 24 January 2025. doi:10. 1093/ ehjcvp/ pvaf004
Composed by AI from the published abstract and checked against it. How Briefs are made →