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January 1, 2013Circulation Journal23 citationsOpen Access

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

IMIgor MrdovićLSLidija SavićGKGordana Krljanać

Structured PICO

Does a simple risk algorithm predict serious bleeding at 30 days in patients with STEMI undergoing primary PCI?

P
Population
3,057 patients with ST-segment elevation myocardial infarction (STEMI) undergoing primary percutaneous coronary intervention (PPCI) within 12 hours of symptom onset. Training set (RISK-PCI trial, n=2,096) and validation set (ART-PCI trial, n=961). Single-center (Serbia).
I
Intervention
Development and validation of a simple risk score (RISK-PCI Bleeding Score) based on 5 clinical and laboratory variables (female gender, history of peptic ulcer, creatinine clearance <60 ml/min, hemoglobin <125 g/dl, Killip class >1) to predict 30-day bleeding.
O
Outcome
Type ≥3a bleeding according to the Bleeding Academic Research Consortium (BARC) definition at 30 dayssafety

A simple 5-variable risk score can accurately predict 30-day serious bleeding in STEMI patients undergoing primary PCI, aiding in risk stratification and treatment decisions.

Abstract

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 (1 heart failure at admission. The model showed good discrimination and calibration for the prediction of bleeding in the derivation set (C-statistic, 0.79; goodness of fit, P=0.12) and in the validation set (C-statistic, 0.76; goodness of fit, P=0.37). Patients were classified into 3 risk classes and the observed incidence of 30-day bleeding of 1.0%, 3.5% and 10.7% corresponded to the low-, intermediate- and high-risk classes, respectively. CONCLUSIONS: A simple risk model was developed that has a reasonably good capacity for the prediction of 30-day bleeding after PPCI.

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Cite This Study

Mrdović et al. (2013) studied this question.

synapsesocial.com/papers/6a7dff34143763190a3ca209https://doi.org/10.1253/circj.cj-12-1177
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