Simple Risk Algorithm to Predict Serious Bleeding in Patients With ST-Segment Elevation Myocardial Infarction Undergoing Primary Percutaneous Coronary Intervention: RISK-PCI Bleeding Score

Background: Bleeding is a potentially catastrophic complication after primary percutaneous coronary intervention (PPCI). It occurs most frequently within the first 30 days following the intervention. The aim of this study was to generate a simple and accurate risk model for the prediction of bleedin...

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Veröffentlicht in:Circulation Journal 2013, Vol.77(7), pp.1719-1727
Hauptverfasser: Mrdovic, Igor, Savic, Lidija, Krljanac, Gordana, Asanin, Milika, Lasica, Ratko, Djuricic, Nemanja, Brdar, Natasa, Marinkovic, Jelena, Kocev, Nikola, Perunicic, Jovan
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Sprache:eng
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Zusammenfassung:Background: Bleeding is a potentially catastrophic complication after primary percutaneous coronary intervention (PPCI). It occurs most frequently within the first 30 days following the intervention. The aim of this study was to generate a simple and accurate risk model for the prediction of bleeding after PPCI. Methods and Results: The training set included 2,096 patients enrolled in the RISK-PCI trial. The model was validated using a database of 961 patients enrolled in the ART-PCI trial. Bleeding was defined as type ≥3a bleeding according to the Bleeding Academic Research Consortium definition. Multivariate logistic regression was used to evaluate the predictors of outcome. A sum of weighted points for specific predictors was calculated to determine the final score. The model included 5 independent predictors of 30-day bleeding: gender (female); history of peptic ulcer; creatinine clearance at admission (
ISSN:1346-9843
1347-4820
DOI:10.1253/circj.CJ-12-1177