title: Dynamic prognostication in non-ST-elevation acute coronary syndromes: insights from GUSTO-IIb and PURSUIT.
abstract: BACKGROUND
  Risk assessment in patients with non-ST-elevation acute coronary syndromes (NSTE-ACS) traditionally focuses on and is limited to admission findings. The objective of the current study was to develop an approach to predicting outcome in NSTE-ACS that could account for the changing nature of risk.
  
  
  METHODS
  In 7294 of 8010 patients with NSTE-ACS and complete electrocardiographic data in the GUSTO-IIb trial, we predicted the mortality probability at days 0-2, 0-30, 3-30, 5-30, and 7-30 using multiple logistic regression. Resulting risk estimates were incorporated into a composite, dynamic model to estimate the effects of changing probabilities over time. These models were validated against an independent sample of 9461 patients from the PURSUIT trial.
  
  
  RESULTS
  As time passed after admission, the risk of 30-day death declined in stable patients. This risk, which was 3.72% at baseline, declined to 1.92% in 6-day survivors, and the risk reduction was greatest for those with the highest baseline risk. Importantly, however, the development of inhospital complications modified these trends. The use of dynamic models not only allowed us to estimate early (<48 h) mortality with a high degree of accuracy (C-index of 0.87), but also to continuously update the longer-term prognosis with increasing accuracy: the C-index increased from 0.75 for the day 0-30 model to 0.81 and 0.82 for the composite and day 7-30 models, respectively.
  
  
  CONCLUSIONS
  Dynamic risk assessment is feasible and reliable. This approach can improve risk assessment and provide valuable guidance for management of patients with NSTE-ACS.
authors.affiliation: University of Alberta, Edmonton, Alberta, Canada.
authors.forename: Wei-Ching
authors.initials: WC
authors.lastname: Chang
authors.forename: Eric
authors.initials: E
authors.lastname: Boersma
authors.forename: Christopher B
authors.initials: CB
authors.lastname: Granger
authors.forename: Robert A
authors.initials: RA
authors.lastname: Harrington
authors.forename: Robert M
authors.initials: RM
authors.lastname: Califf
authors.forename: Maarten L
authors.initials: ML
authors.lastname: Simoons
authors.forename: Neal S
authors.initials: NS
authors.lastname: Kleiman
authors.forename: Paul W
authors.initials: PW
authors.lastname: Armstrong
mesh_terms: D000367:Age Factors; D000789:Angina, Unstable / Q000150:complications / Q000175:diagnosis / Q000401:mortality* / Q000628:therapy; D004562:Electrocardiography; D005343:Fibrinolytic Agents / Q000627:therapeutic use; D006493:Heparin / Q000627:therapeutic use; D024764:Hirudin Therapy; D006801:Humans; D016015:Logistic Models; D015337:Multicenter Studies as Topic; D009203:Myocardial Infarction / Q000150:complications / Q000175:diagnosis / Q000401:mortality* / Q000628:therapy; D011379:Prognosis; D012372:ROC Curve; D018570:Risk Assessment
chemical_list: D005343:Fibrinolytic Agents; D006493:Heparin