Most of the studied risk predicting algorithms were constructed using data of patients with STEMI exclusively ( 6- 13) ( Table 1). Table 2 Validation studies of mortality risk models in patients with ST-segment elevation myocardial infarction Only reports with populations involving STEMI and primary PCI as a treatment modality (at least partly) were analyzed. After identifying the models, we sought for their external validation studies. Other risk prediction algorithms (e.g., different derivations of the SYNTAX score, which was developed excluding cases with myocardial infarction) were not considered ( 4, 5). PubMed ( ) was searched for English language mortality risk models that were developed using (at least in part) data of STEMI patients ( Table 1). Furthermore, risk models may be helpful in clinical trial design identifying patients with the needed risk profile thereby increasing statistical power/reducing sample size and costs. They also enable intra organizational quality monitoring. Moreover, they may contribute to an improved quality of care as they can be used for risk adjustment in inter-organizational comparisons of health care providers with different case mixes. Prediction algorithms may provide useful information for patients/relatives and help physicians to allocate hospital resources. Therefore, it is the treatment of choice according to both American and European guidelines ( 1- 3). One of the most relevant improvements of therapy is primary percutaneous coronary intervention (PPCI), since, compared with fibrinolysis, it further reduces mortality. Yet, as treatment approaches evolve over time with improving outcomes and as ever older patients with complex disease patterns are treated invasively, there is a need to build new risk prediction algorithms to maintain/increase prognostic accuracy. In order to assess individual risk, a number of mathematical models (scoring algorithms) have been developed. Mortality risk of ST-segment elevation myocardial infarction (STEMI) patients shows high variability. Keywords: ST-elevation myocardial infarction (STEMI) risk assessment percutaneous coronary intervention (PCI) mortality decision support techniques Interviews with Outstanding Guest Editors.Policy of Dealing with Allegations of Research Misconduct.Policy of Screening for Plagiarism Process.
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