AIMS: To compare the performance of the CRUSADE, ACUITY-HORIZONS, and ACTION risk models in the ST-segment elevation myocardial infarction (STEMI) undergoing primary percutaneous coronary intervention (PPCI). METHODS: We studied all consecutive patients with STEMI who underwent PPCI at our institution between 2006 and 2010 (n=1391). The CRUSADE, ACUITY-HORIZONS, and ACTION risk scores were calculated based on the patients' clinical characteristics. The occurrence of in-hospital major bleeding (defined as the composite of intracranial or intraocular bleeding, access site haemorrhage requiring intervention, reduction in haemoglobin ≥4 g/dl without or ≥3g/dl with overt bleeding source, reoperation for bleeding, or blood transfusion) reached 9.8%. Calibration and discrimination of the three risk models were evaluated by the Hosmer-Lemeshow test and the C-statistic, respectively. We compared the predictive accuracy of the risk scores by the DeLong non-parametric test. RESULTS: Calibration of the three risk scores was adequate, given the non-significant results of Hosmer-Lemeshow test for the three risk models. Discrimination of CRUSADE, ACUITY-HORIZONS, and ACTION models was good (C-statistic 0.77, 0.70, and 0.78, respectively). The CRUSADE and ACTION risk scores had a greater predictive accuracy than the ACUITY-HORIZONS risk model (z=3.89, p-value=0.0001 and z=3.51, p-value=0.0004, respectively). There was no significant difference between the CRUSADE and ACTION models (z=0.63, p=0.531). CONCLUSIONS: The CRUSADE, ACUITY-HORIZONS, and ACTION scores are useful tools for the risk stratification of bleeding in STEMI treated by PPCI. Our findings favour the CRUSADE and ACTION risk models over the ACUITY-HORIZONS risk score.
AIMS: To compare the performance of the CRUSADE, ACUITY-HORIZONS, and ACTION risk models in the ST-segment elevation myocardial infarction (STEMI) undergoing primary percutaneous coronary intervention (PPCI). METHODS: We studied all consecutive patients with STEMI who underwent PPCI at our institution between 2006 and 2010 (n=1391). The CRUSADE, ACUITY-HORIZONS, and ACTION risk scores were calculated based on the patients' clinical characteristics. The occurrence of in-hospital major bleeding (defined as the composite of intracranial or intraocular bleeding, access site haemorrhage requiring intervention, reduction in haemoglobin ≥4 g/dl without or ≥3g/dl with overt bleeding source, reoperation for bleeding, or blood transfusion) reached 9.8%. Calibration and discrimination of the three risk models were evaluated by the Hosmer-Lemeshow test and the C-statistic, respectively. We compared the predictive accuracy of the risk scores by the DeLong non-parametric test. RESULTS: Calibration of the three risk scores was adequate, given the non-significant results of Hosmer-Lemeshow test for the three risk models. Discrimination of CRUSADE, ACUITY-HORIZONS, and ACTION models was good (C-statistic 0.77, 0.70, and 0.78, respectively). The CRUSADE and ACTION risk scores had a greater predictive accuracy than the ACUITY-HORIZONS risk model (z=3.89, p-value=0.0001 and z=3.51, p-value=0.0004, respectively). There was no significant difference between the CRUSADE and ACTION models (z=0.63, p=0.531). CONCLUSIONS: The CRUSADE, ACUITY-HORIZONS, and ACTION scores are useful tools for the risk stratification of bleeding in STEMI treated by PPCI. Our findings favour the CRUSADE and ACTION risk models over the ACUITY-HORIZONS risk score.
Authors: Eugenia Nikolsky; Roxana Mehran; George Dangas; Martin Fahy; Yingbo Na; Stuart J Pocock; A Michael Lincoff; Gregg W Stone Journal: Eur Heart J Date: 2007-06-15 Impact factor: 29.983
Authors: Maarten A Vink; Giovanni Amoroso; Maurits T Dirksen; Rene J van der Schaaf; Mark S Patterson; Jan G P Tijssen; Ferdinand Kiemeneij; Ton Slagboom Journal: Heart Date: 2011-08-31 Impact factor: 5.994
Authors: Christian W Hamm; Jean-Pierre Bassand; Stefan Agewall; Jeroen Bax; Eric Boersma; Hector Bueno; Pio Caso; Dariusz Dudek; Stephan Gielen; Kurt Huber; Magnus Ohman; Mark C Petrie; Frank Sonntag; Miguel Sousa Uva; Robert F Storey; William Wijns; Doron Zahger Journal: Eur Heart J Date: 2011-08-26 Impact factor: 29.983
Authors: Roxana Mehran; Stuart J Pocock; Eugenia Nikolsky; Tim Clayton; George D Dangas; Ajay J Kirtane; Helen Parise; Martin Fahy; Steven V Manoukian; Frederick Feit; Magnus E Ohman; Bernard Witzenbichler; Giulio Guagliumi; Alexandra J Lansky; Gregg W Stone Journal: J Am Coll Cardiol Date: 2010-06-08 Impact factor: 24.094
Authors: Sanjit S Jolly; Salim Yusuf; John Cairns; Kari Niemelä; Denis Xavier; Petr Widimsky; Andrzej Budaj; Matti Niemelä; Vicent Valentin; Basil S Lewis; Alvaro Avezum; Philippe Gabriel Steg; Sunil V Rao; Peggy Gao; Rizwan Afzal; Campbell D Joyner; Susan Chrolavicius; Shamir R Mehta Journal: Lancet Date: 2011-04-04 Impact factor: 79.321
Authors: Francesco Costa; Jan G Tijssen; Sara Ariotti; Sara Giatti; Elisabetta Moscarella; Paolo Guastaroba; Rossana De Palma; Giuseppe Andò; Giuseppe Oreto; Felix Zijlstra; Marco Valgimigli Journal: J Am Heart Assoc Date: 2015-12-07 Impact factor: 5.501