No-Reflow Prediction in Acute Coronary Syndrome During Percutaneous Coronary Intervention: The NORPACS Risk Score

经皮冠状动脉介入治疗 心脏病学 医学 内科学 急性冠脉综合征 心肌梗塞
作者
L. Dawson,Muhammad Rashid,Diem Dinh,Angela Brennan,Jason Bloom,Sinjini Biswas,Jeffrey Lefkovits,J. Shaw,William Chan,David Clark,Ernesto Oqueli,C. Hiew,Melanie Freeman,Andrew J. Taylor,Christopher M. Reid,Andrew E. Ajani,David M. Kaye,Mamas A. Mamas,Dion Stub
出处
期刊:Circulation-cardiovascular Interventions [Lippincott Williams & Wilkins]
卷期号:17 (4): e013738-e013738 被引量:10
标识
DOI:10.1161/circinterventions.123.013738
摘要

BACKGROUND: Suboptimal coronary reperfusion (no reflow) is common in acute coronary syndrome percutaneous coronary intervention (PCI) and is associated with poor outcomes. We aimed to develop and externally validate a clinical risk score for angiographic no reflow for use following angiography and before PCI. METHODS: We developed and externally validated a logistic regression model for prediction of no reflow among adult patients undergoing PCI for acute coronary syndrome using data from the Melbourne Interventional Group PCI registry (2005–2020; development cohort) and the British Cardiovascular Interventional Society PCI registry (2006–2020; external validation cohort). RESULTS: A total of 30 561 patients (mean age, 64.1 years; 24% women) were included in the Melbourne Interventional Group development cohort and 440 256 patients (mean age, 64.9 years; 27% women) in the British Cardiovascular Interventional Society external validation cohort. The primary outcome (no reflow) occurred in 4.1% (1249 patients) and 9.4% (41 222 patients) of the development and validation cohorts, respectively. From 33 candidate predictor variables, 6 final variables were selected by an adaptive least absolute shrinkage and selection operator regression model for inclusion (cardiogenic shock, ST-segment–elevation myocardial infarction with symptom onset >195 minutes pre-PCI, estimated stent length ≥20 mm, vessel diameter <2.5 mm, pre-PCI Thrombolysis in Myocardial Infarction flow <3, and lesion location). Model discrimination was very good (development C statistic, 0.808; validation C statistic, 0.741) with excellent calibration. Patients with a score of ≥8 points had a 22% and 27% risk of no reflow in the development and validation cohorts, respectively. CONCLUSIONS: The no-reflow prediction in acute coronary syndrome risk score is a simple count-based scoring system based on 6 parameters available before PCI to predict the risk of no reflow. This score could be useful in guiding preventative treatment and future trials.
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