RURUS SURYAWAN Score: A Novel Scoring System to Predict 30-Day Mortality for Acute Myocardial Infarction Undergoing...

Area of Science:

• Cardiology
• Medical Informatics
• Public Health

Background:

• Identifying patients with acute myocardial infarction (AMI) at high risk of deterioration post-primary percutaneous coronary intervention (PCI) is crucial.
• Existing scoring systems show inconsistent results for predicting 30-day outcomes in first-episode AMI.
• Novel predictive tools are needed for this patient population.

Purpose of the Study:

• To develop and validate novel scoring systems for predicting 30-day mortality.
• To identify key predictors of 30-day mortality in patients experiencing their first AMI episode.
• To improve risk stratification following primary PCI.

Main Methods:

• Retrospective study utilizing total sampling of 1535 patients with first-time AMI undergoing primary PCI (2021-2024).
• Patients were divided into derivation (n=926) and validation (n=609) cohorts.
• Multivariate logistic regression was used to develop and validate the RURUS SURYAWAN score.

Main Results:

• The 30-day mortality rate was 20.7%.
• The RURUS SURYAWAN score demonstrated high predictive accuracy (AUC 0.944 in derivation, 0.959 in validation).
• The score achieved 94.6% sensitivity and 97.3% specificity for predicting 30-day mortality (p < 0.001).

Conclusions:

• The RURUS SURYAWAN score is a novel, validated tool for predicting 30-day mortality in AMI patients undergoing primary PCI.
• This scoring system can aid clinicians in identifying high-risk patients before intervention.
• The findings contribute to improved risk stratification and patient management in acute myocardial infarction.