Prognostic impact of residual inflammatory and triglyceride risk in statin-treated patients with well-controlled LDL cholesterol and atherosclerotic cardiovascular disease.
Francesca Maria Di Muro, Birgit Vogel, Samantha Sartori, Benjamin Bay, Angelo Oliva, Yihan Feng, Prakash Krishnan, Joseph Sweeny, Mauro Gitto, Kenneth Smith, Pedro Moreno, Johny Nicolas, Parasuram Krishnamoorthy, Pier Pasquale Leone, Deepak L Bhatt, George Dangas, Annapoorna Kini, Samin K Sharma, Roxana Mehran
{"title":"Prognostic impact of residual inflammatory and triglyceride risk in statin-treated patients with well-controlled LDL cholesterol and atherosclerotic cardiovascular disease.","authors":"Francesca Maria Di Muro, Birgit Vogel, Samantha Sartori, Benjamin Bay, Angelo Oliva, Yihan Feng, Prakash Krishnan, Joseph Sweeny, Mauro Gitto, Kenneth Smith, Pedro Moreno, Johny Nicolas, Parasuram Krishnamoorthy, Pier Pasquale Leone, Deepak L Bhatt, George Dangas, Annapoorna Kini, Samin K Sharma, Roxana Mehran","doi":"10.1093/eurjpc/zwaf112","DOIUrl":null,"url":null,"abstract":"<p><strong>Aims: </strong>Identifying alternative contributors to the residual risk of atherosclerotic cardiovascular disease (ASCVD) beyond LDL cholesterol (LDL-C) levels is crucial. We investigated the relative impact of triglycerides (TGs) and high-sensitivity C-reactive protein (hs-CRP) on outcomes in statin-treated patients with well-controlled LDL-C undergoing percutaneous coronary intervention (PCI) for established ASCVD.</p><p><strong>Methods and results: </strong>We included 9446 statin-treated patients with LDL-C < 70 mg/dL undergoing PCI between 2012 and 2022, stratified into four groups: (i) no residual risk (TG <150 mg/dL + hs-CRP <2 mg/L); (ii) residual TG risk (TG ≥150 mg/dL + hs-CRP <2 mg/L); (iii) residual inflammatory risk (TG <150 mg/dL + hs-CRP ≥2 mg/L); and (iv) residual TG and inflammatory risk (TG ≥150 mg/dL + hs-CRP ≥2 mg/L). The primary endpoint was major adverse cardiovascular events (MACE) at 1 year, consisting of all-cause mortality, myocardial infarction, or stroke. Cox regression analysis was performed, using the no residual risk group as a reference. Of the total population, 5339 (56.5%) had no residual risk, 555 (5.9%) presented residual TG risk, 3009 (31.9%) had residual inflammatory risk, and 543 (5.7%) exhibited residual combined risk. After multivariable adjustment, patients with residual inflammatory or combined risk showed a significantly higher hazard of MACE, mainly driven by all-cause mortality. No significant difference was observed between patients with residual TG risk and those with no residual risk.</p><p><strong>Conclusion: </strong>In statin-treated patients with well-controlled LDL-C undergoing PCI, residual inflammatory risk-alone or in combination with residual TG risk-was associated with a higher incidence of MACE, highlighting the need for targeted preventive strategies beyond LDL-C lowering.</p>","PeriodicalId":12051,"journal":{"name":"European journal of preventive cardiology","volume":" ","pages":""},"PeriodicalIF":8.4000,"publicationDate":"2025-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"European journal of preventive cardiology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1093/eurjpc/zwaf112","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CARDIAC & CARDIOVASCULAR SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
Aims: Identifying alternative contributors to the residual risk of atherosclerotic cardiovascular disease (ASCVD) beyond LDL cholesterol (LDL-C) levels is crucial. We investigated the relative impact of triglycerides (TGs) and high-sensitivity C-reactive protein (hs-CRP) on outcomes in statin-treated patients with well-controlled LDL-C undergoing percutaneous coronary intervention (PCI) for established ASCVD.
Methods and results: We included 9446 statin-treated patients with LDL-C < 70 mg/dL undergoing PCI between 2012 and 2022, stratified into four groups: (i) no residual risk (TG <150 mg/dL + hs-CRP <2 mg/L); (ii) residual TG risk (TG ≥150 mg/dL + hs-CRP <2 mg/L); (iii) residual inflammatory risk (TG <150 mg/dL + hs-CRP ≥2 mg/L); and (iv) residual TG and inflammatory risk (TG ≥150 mg/dL + hs-CRP ≥2 mg/L). The primary endpoint was major adverse cardiovascular events (MACE) at 1 year, consisting of all-cause mortality, myocardial infarction, or stroke. Cox regression analysis was performed, using the no residual risk group as a reference. Of the total population, 5339 (56.5%) had no residual risk, 555 (5.9%) presented residual TG risk, 3009 (31.9%) had residual inflammatory risk, and 543 (5.7%) exhibited residual combined risk. After multivariable adjustment, patients with residual inflammatory or combined risk showed a significantly higher hazard of MACE, mainly driven by all-cause mortality. No significant difference was observed between patients with residual TG risk and those with no residual risk.
Conclusion: In statin-treated patients with well-controlled LDL-C undergoing PCI, residual inflammatory risk-alone or in combination with residual TG risk-was associated with a higher incidence of MACE, highlighting the need for targeted preventive strategies beyond LDL-C lowering.
期刊介绍:
European Journal of Preventive Cardiology (EJPC) is an official journal of the European Society of Cardiology (ESC) and the European Association of Preventive Cardiology (EAPC). The journal covers a wide range of scientific, clinical, and public health disciplines related to cardiovascular disease prevention, risk factor management, cardiovascular rehabilitation, population science and public health, and exercise physiology. The categories covered by the journal include classical risk factors and treatment, lifestyle risk factors, non-modifiable cardiovascular risk factors, cardiovascular conditions, concomitant pathological conditions, sport cardiology, diagnostic tests, care settings, epidemiology, pharmacology and pharmacotherapy, machine learning, and artificial intelligence.