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Background: Compare the discriminative performance of two validated bleeding risk models for in-hospital bleeding events in a non-selected cohort of acute coronary syndrome (ACS) patients.
Methods: CRUSADE (Can Rapid risk stratification of Unstable angina patients Suppress ADverse outcomes with Early implementation of the ACC/AHA Guidelines) and ACUITY-HORIZONS (Acute Catheterization and Urgent Intervention Triage strategY-Harmonizing Outcomes with Revascularization and Stents in Acute Myocardial Infarction) scores were calculated in 501 consecutive patients (median age 68 years (IQR 57-77), 31% female) admitted for ACS to the coronary care unit (CCU) of San Paolo Hospital in Milan (Italy). In-hospital haemorrhagic events and mortality were recorded and calibration and discrimination of the two risk models were evaluated using the Hosmer-Lemeshow test and the C-statistic, respectively.
Results: Overall bleeding events were observed in 32 patients and major bleedings in 11 (with an incidence of 6.4% and 2.2%, respectively). In-hospital mortality was 2.6%. Regarding major bleedings both risk scores demonstrated an adequate calibration (H-L test p>0.20) and a moderate discrimination with no significant difference in predictive accuracy between the two models (C-statistic 0.69 for CRUSADE and 0.73 for ACUITY-HORIZONS). We also tested the performance of the two risk models in predicting in-hospital mortality, showing an adequate calibration and a very good discrimination (C-statistic 0.88 and 0.89 for the CRUSADE and ACUITY-HORIZONS scores, respectively), with no significant difference in predictive accuracy.
Conclusions: In our ACS population the CRUSADE and the ACUITY-HORIZONS risk scores showed a fairly good and comparable predictive accuracy regarding in-hospital bleeding events and they appeared to be very good predictors of in-hospital mortality.
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http://dx.doi.org/10.1016/j.hlc.2018.02.012 | DOI Listing |
Ther Adv Chronic Dis
March 2023
National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100037, China.
Background: Prediction of bleeding is critical for acute myocardial infarction (AMI) patients after percutaneous coronary intervention (PCI). Machine learning methods can automatically select the combination of the important features and learn their underlying relationship with the outcome.
Objectives: We aimed to evaluate the predictive value of machine learning methods to predict in-hospital bleeding for AMI patients.
Braz J Cardiovasc Surg
February 2023
Department of Cardiology, Adana City Research & Training Hospital, Adana, Turkey.
Introduction: A clear assessment of the bleeding risk score in patients presenting with myocardial infarction (MI) is crucial because of its impact on prognosis. The Anticoagulation and Risk Factors in Atrial Fibrillation (ATRIA score is a validated risk score to predict bleeding risk in atrial fibrillation (AF), but its predictive value in predicting bleeding after percutaneous coronary intervention (PCI) in ST-segment elevation myocardial infarction (STEMI) or non-STEMI (NSTEMI) patients receiving antithrombotic therapy is unknown. Our aim was to investigate the predictive performance of the ATRIA bleeding score in STEMI and NSTEMI patients in comparison to the CRUSADE (Can Rapid risk stratification of Unstable angina patients Suppress ADverse outcomes with Early implementation of the American College of Cardiology/American Heart Association Guidelines) and ACUITY-HORIZONS (Acute Catheterization and Urgent Intervention Triage strategY-Harmonizing Outcomes with Revascularization and Stents in Acute Myocardial Infarction) bleeding scores.
View Article and Find Full Text PDFInt Heart J
May 2019
Division of Cardiology, Department of Internal Medicine, Kaohsiung Chang Gung Memorial Hospital.
We investigated the accuracy of various bleeding risk scores to estimate the bleeding risk in patients with acute myocardial infarction (AMI) managed with percutaneous coronary intervention (PCI) access via the radial artery.We retrospectively enrolled 1,651 patients who were definitively diagnosed with ST-elevation myocardial infarction (STEMI) or non-STEMI (NSTEMI). We assessed the predictive validities of 30-day bleeding events in various scoring systems using receiver operating characteristic curves.
View Article and Find Full Text PDFHeart Lung Circ
April 2019
Division of Cardiology, San Paolo Hospital, Department of Health Sciences, University of Milan, Milan, Italy.
Background: Compare the discriminative performance of two validated bleeding risk models for in-hospital bleeding events in a non-selected cohort of acute coronary syndrome (ACS) patients.
Methods: CRUSADE (Can Rapid risk stratification of Unstable angina patients Suppress ADverse outcomes with Early implementation of the ACC/AHA Guidelines) and ACUITY-HORIZONS (Acute Catheterization and Urgent Intervention Triage strategY-Harmonizing Outcomes with Revascularization and Stents in Acute Myocardial Infarction) scores were calculated in 501 consecutive patients (median age 68 years (IQR 57-77), 31% female) admitted for ACS to the coronary care unit (CCU) of San Paolo Hospital in Milan (Italy). In-hospital haemorrhagic events and mortality were recorded and calibration and discrimination of the two risk models were evaluated using the Hosmer-Lemeshow test and the C-statistic, respectively.
Chin Med J (Engl)
February 2018
Department of Cardiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China.
Background: There is scanty evidence concerning the ability of Can Rapid Risk Stratification of Unstable Angina Patients Suppress Adverse Outcomes with Early Implementation of the ACC/AHA Guidelines (CRUSADE) and Acute Catheterization and Urgent Intervention Triage Strategy and Harmonizing Outcomes with Revascularization and Stents in Acute Myocardial Infarction (ACUITY-HORIZONS) scores to predict out-of-hospital bleeding risk after percutaneous coronary interventions (PCIs) with drug-eluting stents (DES) in patients receiving dual antiplatelet therapy. We aimed to assess and compare the long-term prognostic value of these scores regarding out-of-hospital bleeding risk in such patients.
Methods: We performed a prospective observational study of 10,724 patients undergoing PCI between January and December 2013 in Fuwai Hospital, China.
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