Defining high-risk patients with ST-segment elevation acute myocardial infarction undergoing primary percutaneous
Alessandro Martinoni1, Stefano De Servi, Alessandro Politi
1Ospedale Fornaroli, Magenta, Italy.
Insights
Identifying high-risk patients with ST-segment elevation myocardial infarction (STEMI) is crucial. Five scoring systems showed significant variability in predicting 30-day mortality, impacting clinical trial design.
Area of Science:
- Cardiology
- Clinical Research
- Medical Informatics
Background:
- Accurate identification of high-risk patients with ST-segment elevation acute myocardial infarction (STEMI) is critical for treatment stratification.
- Current consensus on optimal definitions for high-risk STEMI patients is lacking.
Purpose of the Study:
- To compare the performance of five distinct scoring systems in assessing 30-day mortality risk.
- To evaluate the impact of different scoring systems on patient stratification and clinical trial sample size estimations.
Main Methods:
- A cohort of 3214 patients with STEMI undergoing primary percutaneous coronary intervention (PCI) was analyzed.
- Five established scoring systems were compared for their ability to predict 30-day mortality.
Main Results:
- Significant variability was observed in risk stratification across the evaluated scoring systems, with high-risk patient identification ranging from 15% to 66%.
- McNamara, Antoniucci, and Brodie definitions demonstrated superior sensitivity, while the PAMI score (≥9) exhibited the highest specificity but low sensitivity.
- Sample size simulations for clinical trials revealed substantial differences, requiring 4712 patients for the Brodie definition versus 9038 for the PAMI score (≥9) to detect a 33% mortality difference.
Conclusions:
- The choice of scoring system significantly impacts risk stratification, sensitivity, specificity, and predictive values in STEMI patients.
- These discrepancies necessitate careful consideration when designing randomized controlled trials to ensure appropriate patient selection and adequate statistical power.
Background:
Identification of high-risk patients with ST-segment elevation acute myocardial infarction (STEMI) is of the utmost importance for adequate patient stratification and evaluation of additive treatments. However, there is no consensus on the optimal definition of high-risk patients.
Methods:
We therefore compared 5 scoring systems in the assessment of the risk of 30-day mortality in 3214 patients with STEMI treated with primary percutaneous coronary intervention (PCI).
Results:
Clinical scores showed a large variability in risk stratifying patients. Identification of high-risk patients ranged from 15% (PAMI score ≥ 9) to 66% (McNamara definition). McNamara, Antoniucci and Brodie definitions had the best sensitivity (0.87-0.88 and 95% confidence intervals (CI) ranging from 0.82-0.93) while PAMI ≥ 9 had the best specificity (0.87 with 95% CI of 0.86-0.88), while its sensitivity was quite low (0.42). In a sample size simulation of a trial aimed at demonstrating a 33% difference in 30-day mortality between two hypothetical treatments, the number of STEMI patients needed to be screened varied from 4712 for the Brodie definition to 9038 for the PAMI ≥ 9 score.
Conclusions:
There is a large variability in risk stratification, sensitivity, specificity and predictive values among different scoring systems. These considerations should be taken into account when designing randomised trials.
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