In-silico trial emulation to predict the cardiovascular protection of new lipid-lowering drugs: an illustration through the design of the SIRIUS programme

Author:

Angoulvant Denis1ORCID,Granjeon-Noriot Solène2,Amarenco Pierre3,Bastien Alexandre4,Bechet Emmanuelle2,Boccara Franck5,Boissel Jean-Pierre2,Cariou Bertrand6,Courcelles Eulalie2,Diatchenko Alizée2,Filipovics Anne4,Kahoul Riad2,Mahé Guillaume7,Peyronnet Emmanuel2,Portal Lolita4,Porte Solène2,Wang Yishu2,Steg Philippe Gabriel8

Affiliation:

1. Cardiology Department, Hôpital Trousseau, CHRU de Tours & Inserm U1327 ISCHEMIA ‘Membrane Signalling and Inflammation in Reperfusion Injuries’, Université de Tours , 10 boulevard Tonnellé, F37000, Tours , France

2. Novadiscovery , Lyon , France

3. Department of Neurology and Stroke Center, APHP, Bichat Hospital, Université Paris-Cité Paris, France and McMaster University, Population Health Research Institute , Hamilton, Ontario , Canada

4. Novartis , Rueil Malmaison , France

5. Sorbonne Université, GRC n°22, C2MV-Complications Cardiovasculaires et Métaboliques chez les patients vivant avec le Virus de l'immunodéficience humaine, Inserm UMR_S 938, Centre de Recherche Saint-Antoine, Institut Hospitalo-Universitaire de Cardio-métabolisme et Nutrition (ICAN), Cardiologie, Hôpital Saint Antoine AP-HP , Paris , France

6. Nantes Université, CHU Nantes, CNRS, Inserm, l'institut du thorax , F-44000 Nantes , France

7. Vascular Medicine Unit, CHU Rennes, Univ Rennes CIC1414 , Rennes , France

8. Université Paris-Cité, AP-HP, Hôpital Bichat, and FACT, INSERM U-1148/LVTS , Paris , France

Abstract

Abstract Introduction Inclisiran, an siRNA targeting hepatic PCSK9 mRNA, administered twice-yearly (after initial and 3-month doses), substantially and sustainably reduced LDL-cholesterol (LDL-C) in Phase III trials. Whether lowering LDL-C with inclisiran translates into a reduced risk of major adverse cardiovascular events (MACE) is not yet established. In-silico trials applying a disease computational model to virtual patients receiving new treatments allow to emulate large scale long-term clinical trials. The SIRIUS in-silico trial programme aims to predict the efficacy of inclisiran on CV events in individuals with established atherosclerotic cardiovascular disease (ASCVD). Methods and results A knowledge-based mechanistic model of ASCVD was built, calibrated, and validated to conduct the SIRIUS programme (NCT05974345) aiming to predict the effect of inclisiran on CV outcomes. The SIRIUS Virtual Population included patients with established ASCVD (previous myocardial infarction (MI), previous ischemic stroke (IS), previous symptomatic lower limb peripheral arterial disease (PAD) defined as either intermittent claudication with ankle-brachial index <0.85, prior peripheral arterial revascularization procedure, or vascular amputation) and fasting LDL-C ≥ 70 mg/dL, despite stable (≥4 weeks) well-tolerated lipid-lowering therapies. SIRIUS is an in-silico multi-arm trial programme. It follows an idealized crossover design where each virtual patient is its own control, comparing inclisiran to (i) placebo as adjunct to high-intensity statin therapy with or without ezetimibe, (ii) ezetimibe as adjunct to high-intensity statin therapy, (iii) evolocumab as adjunct to high-intensity statin therapy and ezetimibe. The co-primary efficacy outcomes are based on the time to the first occurrence of any component of 3P-MACE (composite of CV death, nonfatal MI, or nonfatal IS) and time to occurrence of CV death over 5 years. Perspectives/conclusion The SIRIUS in-silico trial programme will provide early insights regarding potential effect of inclisiran on MACE in ASCVD patients, several years before the availability of the results from ongoing CV outcomes trials (ORION-4 and VICTORION-2-P). Clinical trial registration Clinicaltrials.gov identifier: NCT05974345

Funder

Novartis Pharma SAS

Publisher

Oxford University Press (OUP)

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3