A new risk score system for the assessment of clinical outcomes in patients with non-ST-segment elevation myocardial infarction

医学 蒂米 基里普班 心肌梗塞 弗雷明翰风险评分 内科学 急性冠脉综合征 ST高程 心脏病学 风险评估 危险分层 ST段 溶栓 经皮冠状动脉介入治疗 计算机科学 计算机安全 疾病
作者
Hyun Kuk Kim,Myung Ho Jeong,Youngkeun Ahn,Jong Hyun Kim,Shung Chull Chae,Young Jo Kim,Seung‐Ho Hur,In Whan Seong,Taek Jong Hong,Donghoon Choi,Myeong Chan Cho,Chong Jin Kim,Ki Bae Seung,Wook Sung Chung,Yang Soo Jang,Byoung Geol Choi,Jang Ho Bae,Jeong Gwan Cho,Seung Jung Park
出处
期刊:International Journal of Cardiology [Elsevier]
卷期号:145 (3): 450-454 被引量:32
标识
DOI:10.1016/j.ijcard.2009.06.001
摘要

Background and objectives Prediction for long-term clinical outcomes in patients with non-ST elevation acute coronary syndrome is important as well as early risk stratification. The aim of this study is to develop a simple assessment tool for better early bedside risk stratification for both short- and long-term clinical outcomes. Subjects and methods 2148 patients with non-ST-segment elevation myocardial infarction (NSTEMI) (64.9±12.2 years, 35.0% females) were enrolled in a nationwide prospective Korea Acute Myocardial Infarction Registry (KAMIR). A new risk score was constructed using the variables related to one year mortality: TIMI risk index (17.5–30: 1 point, >30: 2 points), Killip class (II: 1 point, >II: 2 points) and serum creatinine (≥1.5 mg/dL: 1 point), based on the multivariate-adjusted risk relationship. The new risk score system was compared with the Global Registry of Acute Coronary Events (GRACE) and TIMI risk scores during a 12-month clinical follow-up. Results During a one year follow-up, all causes of death occurred in 362 patients (14.3%), and 184 (8.6%) patients died in the hospital. The new risk score showed good predictive value for one year mortality. The accuracy for in-hospital and one year post-discharge mortality rates, the new risk score demonstrated significant differences in predictive accuracy when compared with TIMI and GRACE risk scores. Conclusion A new risk score in the present study provides simplicity with accuracy simultaneously for early risk stratification, and also could be a powerful predictive tool for long-term prognosis in NSTEMI.

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