Mortality predictors in acute myocardial infarction: results from a single-center study in Saudi Arabia

Yasir Abdulmohsen Alzalabani1, Bader Osama Sager1, Hamzah Khalid Ibrahim1

  • 1College of Medicine, Taibah University, Medina, Kingdom of Saudi Arabia.

PubMed

Insights

This study identified key mortality predictors in acute myocardial infarction (AMI) patients. Anterior wall myocardial infarction (MI), elevated creatine kinase-myocardial band (CK-MB), and blood urea nitrogen (BUN) significantly increased mortality risk.

Area of Science:

  • Cardiology
  • Internal Medicine
  • Public Health

Background:

  • Acute myocardial infarction (AMI) is a major global cause of illness and death.
  • Previous research identified older age and heart failure as common mortality risk factors in AMI patients.

Purpose of the Study:

  • To identify and explore risk factors and predictors associated with higher mortality in patients diagnosed with AMI.
  • To analyze survival rates and associated clinical factors in a cohort of AMI patients.

Main Methods:

  • A retrospective study was conducted at a cardiac center in western Saudi Arabia from January 1, 2023, to September 1, 2023.
  • Included 851 patients with confirmed AMI, excluding those under 18 or with incomplete data.
  • Survival analysis was performed, examining factors like creatine kinase-myocardial band (CK-MB), blood urea nitrogen (BUN), diabetes mellitus (DM), and MI location.

Main Results:

  • 30-day and 60-day survival rates were 66.8% and 33.4%, respectively.
  • Anterior wall MI and elevated CK-MB and BUN levels were significantly associated with increased mortality risk.
  • Diabetes mellitus (DM) and transmural anterior wall MI showed a notable association with mortality.

Conclusions:

  • Anterior wall MI, elevated CK-MB, and BUN are significant predictors of mortality in AMI patients.
  • Factors such as troponin, LDL, creatinine, age, and hospital stay duration differed significantly between survivors and non-survivors.
  • These findings underscore the importance of monitoring specific biomarkers and MI characteristics for improved patient outcomes.