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Abstract
Background: Pertacuneous coronary intervention (PCI) is used to treated patients with acute coronary syndromes (ACS) in many years. However the outcomes after PCI needs to be evaluated and analysed.
Objective: ACUITY-PCI score in stratification of patients with acute coronary syndromes undergoing pertacuneous coronary intervention. To evaluate the relation between ACUITY-PCI sure and death and major cardiovascular risk factor in these patientsMethods: This research was created from data of 51 patients with ACS and used ACUITY-PCI score to stratification. Six variables were used in this score: insulin-treated diabetes, renal insufficiency, baseline cardiac biomarker elevation or ST-segment deviation, bifurcation lesion, small vessel/diffuse coronary disease and the extent of coronary artery disease.
Results: ACUITY-PCI score with lower tertile 35.3%; intermediate tertile 15.7%; upper tertile 49 %. 30 day clinical outcomes: Death 13.7%; Reinfarction 1.9%. Event rated increased significanty across tertiles of ACUITY-PCI score: 0% in the lower tertile; 12.5% in the intermediate tertile and 28% in the upper tertile.
The ACUITY-PCI score had the good discrimination (C-statistic = 0.865 ). Age > 60 ; smoke; BMI < 18.49 kg/m2 and triple-vessel disease were univariate predictors of mortality after PCI ( p < 0.05).
Conclusion: ACUITY-PCI risk score is a good tool to prognostic for patients with ACS undergoing PCI in prediction of 30-day death or MI. Event rates increased significantly across tertiles of ACUITY-PCI score
References
Altman Douglas G, Royston Patrick (2000), “What do we mean by validating a prognostic model?”, Statistics in medicine, 19(4), pp. 453-473.
Cannon CP et al (2001), “for the TACTICSTIMI 18 investigators. Comparison of early invasive and conservative strategies in patients with unstable coronary syndromes treated with the glycoprotein IIb/IIIa inhibitor tirofiban”, N Engl J Med, 344(1), pp. 879-1.
Eagle Kim A et al (2004), “A validated prediction model for all forms of acute coronary syndrome: estimating the risk of 6-month postdischarge
death in an international registry”, Jama, 291(22), pp. 2727-2733.
Granger Christopher B et al (2003), “Predictors of hospital mortality in the global registry of acute coronary events”, Archives of internal medicine, 163(19), pp. 2345-2353.5. Halkin Amir et al (2005), “Prediction of mortality
after primary percutaneous coronary intervention for acute myocardial infarction: the CADILLAC risk score”, Journal of the American College of
Cardiology, 45(9), pp. 1397-1405.
Palmerini Tullio et al (2012), “A new score for risk stratification of patients with acute coronary syndromes undergoing percutaneous coronary intervention: the ACUITY-PCI (Acute Catheterization and Urgent Intervention Triage Strategy–Percutaneous Coronary Intervention) risk score”, JACC: Cardiovascular Interventions, 5(11), pp. 1108-1116.
Rott David et al (2010), “Combination of the Killip and TIMI classifications for early risk stratification of patients with acute ST elevation myocardial infarction”, Cardiology, 117(4), pp. 291-295.
| Published | 07-01-2025 | |
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| Issue | No. 60 (2020) | |
| Section | Original article | |
| DOI | 10.38103/jcmhch.2020.60.1 | |
| Keywords | Can thiệp động mạch vành qua da, Thang điểm tiên lượng ACUITY-PC Pertacuneous coronary intervention (PCI), ACUITY-PCI score |
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