title: A new risk score system for the assessment of clinical outcomes in patients with non-ST-segment elevation myocardial infarction.
abstract: OBJECTIVE
  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.
  
  
  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.
  
  
  CONCLUSIONS
  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.
authors.affiliation: Chonnam National University Hospital, South Korea.
authors.forename: Hyun Kuk
authors.initials: HK
authors.lastname: Kim
authors.forename: Myung Ho
authors.initials: MH
authors.lastname: Jeong
authors.forename: Youngkeun
authors.initials: Y
authors.lastname: Ahn
authors.forename: Jong Hyun
authors.initials: JH
authors.lastname: Kim
authors.forename: Shung Chull
authors.initials: SC
authors.lastname: Chae
authors.forename: Young Jo
authors.initials: YJ
authors.lastname: Kim
authors.forename: Seung Ho
authors.initials: SH
authors.lastname: Hur
authors.forename: In Whan
authors.initials: IW
authors.lastname: Seong
authors.forename: Taek Jong
authors.initials: TJ
authors.lastname: Hong
authors.forename: Dong Hoon
authors.initials: DH
authors.lastname: Choi
authors.forename: Myeong Chan
authors.initials: MC
authors.lastname: Cho
authors.forename: Chong Jin
authors.initials: CJ
authors.lastname: Kim
authors.forename: Ki Bae
authors.initials: KB
authors.lastname: Seung
authors.forename: Wook Sung
authors.initials: WS
authors.lastname: Chung
authors.forename: Yang Soo
authors.initials: YS
authors.lastname: Jang
authors.forename: Seung Woon
authors.initials: SW
authors.lastname: Rha
authors.forename: Jang Ho
authors.initials: JH
authors.lastname: Bae
authors.forename: Jeong Gwan
authors.initials: JG
authors.lastname: Cho
authors.forename: Seung Jung
authors.initials: SJ
authors.lastname: Park
mesh_terms: D000368:Aged; D004562:Electrocardiography; D005260:Female; D005500:Follow-Up Studies; D017052:Hospital Mortality; D006801:Humans; D008297:Male; D008875:Middle Aged; D009203:Myocardial Infarction / Q000175:diagnosis* / Q000401:mortality*; D011237:Predictive Value of Tests; D011379:Prognosis; D012372:ROC Curve; D012042:Registries; D056910:Republic of Korea / Q000453:epidemiology; D018570:Risk Assessment / Q000379:methods; D012307:Risk Factors; D016019:Survival Analysis