Moderate-Intensity Statin Plus Ezetimibe: Time to Rethink it as an Optimal Initial Lipid-Lowering Strategy
- PMID: 39542994
- PMCID: PMC11739249
- DOI: 10.1007/s40265-024-02113-5
Moderate-Intensity Statin Plus Ezetimibe: Time to Rethink it as an Optimal Initial Lipid-Lowering Strategy
Abstract
Achievement of low-density lipoprotein cholesterol (LDL-C) targets is crucial for the prevention of cardiovascular disease (CVD) in individuals with dyslipidaemia who are at high risk. Current guidelines recommend high-intensity statins at the highest tolerated dose as initial treatment to achieve LDL-C goals. However, the real-world situation is dismal: high-intensity statins are underused and achievement of LDL-C goals is suboptimal. Various challenges exist in the implementation of the recommended initial treatment strategy, including hesitancy to use high-intensity statins, non-adherence, and side effects, and the response to high-intensity statins varies across individuals. Emerging studies have shown another line of lipid-lowering, moderate-intensity statins in combination with ezetimibe, presenting considerable efficacy/effectiveness, along with better safety and adherence compared to statin intensification alone. Here we review the clinical evidence, treatment guidelines and challenges associated with high-intensity statins, and summarise the evidence on the combination therapy, moderate-intensity statin plus ezetimibe, which is the core strategy recommended by the 2023 Chinese Guideline for Lipid Management, as a possible primary treatment to achieve the LDL-C targets across several populations. The upfront use of a moderate-intensity statin plus ezetimibe may improve LDL-C control and lead to the prevention of CVD in real-world settings.
© 2024. The Author(s).
Conflict of interest statement
Declarations. Funding: This article was supported by CAMS Innovation Fund for Medical Sciences (CIFMS, 2021-I2M-C&T-B-030). Conflict of interest: Sha Li, Hui-Hui Liu, and Jian-Jun Li declare that they have no potential conflicts of interest that might be relevant to the contents of this manuscript. Authors' contributions: Jian-Jun Li conceived, designed and programmed the paper, Sha Li and Liu Hui-Hui wrote the manuscript, LJJ reviewed, revised, and finalised the manuscript. All authors have read and approved the final manuscript. Data availability statement: Data sharing not applicable to this article as no datasets were generated for this review article. Ethics approval: Not applicable. Code availability: Not applicable. Consent to participate: Not applicable. Consent for publication: Not applicable
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References
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