Literature DB >> 19515084

Development and validation of a risk scoring model to predict net adverse cardiovascular outcomes after primary percutaneous coronary intervention in patients pretreated with 600 mg clopidogrel: rationale and design of the RISK-PCI study.

Igor Mrdovic1, Lidija Savic, Jovan Perunicic, Milika Asanin, Ratko Lasica, Jelena Marinkovic, Zorana Vasiljevic, Miodrag Ostojic.   

Abstract

BACKGROUND: No comprehensive primary PCI (pPCI) risk model to predict net adverse cardiovascular events (NACE) has been reported with the use of clopidogrel 600 mg, which is now considered the standard loading dose. The primary hypothesis of the RISK-PCI trial is that an accurate risk prediction may be achieved by using clinical, angiographic, and procedural variables available at the time of intervention.
METHODS: The present single-center, longitudinal, cohort study will include 1,750 consecutive patients with ST-elevation myocardial infarction (STEMI), undergoing pPCI after pretreatment with 300 mg aspirin and 600 mg clopidogrel. The primary end-points of the trial (NACE) include major adverse cardiovascular events (MACE) and major bleeding. A logistic regression model will be developed to predict 30-day and 1-year NACE after pPCI. A risk score derived from study set data will be validated using validation set data.
RESULTS: Until June 1, 2008, 1,166 patients have been enrolled. Thirty-day follow-up is available in 1,007 patients.
CONCLUSIONS: The RISK-PCI study is designed to develop an accurate risk scoring system, using variables available at the time of intervention, to predict long-term adverse outcomes after pPCI.

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Year:  2009        PMID: 19515084     DOI: 10.1111/j.1540-8183.2009.00476.x

Source DB:  PubMed          Journal:  J Interv Cardiol        ISSN: 0896-4327            Impact factor:   2.279


  3 in total

1.  Usefulness of the RISK-PCI score to predict stent thrombosis in patients treated with primary percutaneous coronary intervention for ST-segment elevation myocardial infarction: a substudy of the RISK-PCI trial.

Authors:  Igor Mrdovic; Lidija Savic; Ratko Lasica; Gordana Krljanac; Milika Asanin; Natasa Brdar; Nemanja Djuricic; Natasa Cvetinovic; Jelena Marinkovic; Jovan Perunicic
Journal:  Heart Vessels       Date:  2012-09-14       Impact factor: 2.037

Review 2.  Risk Stratification in Patients with Coronary Artery Disease: A Practical Walkthrough in the Landscape of Prognostic Risk Models.

Authors:  Sergio Buccheri; Paolo D'Arrigo; Gabriele Franchina; Davide Capodanno
Journal:  Interv Cardiol       Date:  2018-09

3.  Using the RISK-PCI Score in the Long-Term Prediction of Major Adverse Cardiovascular Events and Mortality after Primary Percutaneous Coronary Intervention.

Authors:  Lidija Savic; Igor Mrdovic; Milika Asanin; Sanja Stankovic; Gordana Krljanac; Ratko Lasica
Journal:  J Interv Cardiol       Date:  2019-10-24       Impact factor: 2.279

  3 in total

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