Clinical epidemiology of acute myocardial infarction in Kuwait

A al-Adsani1, A Memon, A Peneva

  • 1Department of Medicine, Al-Sabah Hospital, Kuwait. amsaladsani@myworldmail.com

Acta Cardiologica
|March 9, 2000
PubMed

Insights

This study on acute myocardial infarction (AMI) in Kuwait found that older age, anterior MI, and high blood glucose predict in-hospital morbidity. Controlling smoking and diabetes can reduce AMI

Area of Science:

  • Cardiology
  • Epidemiology
  • Public Health

Background:

  • Acute myocardial infarction (AMI) poses a significant health burden globally.
  • Understanding the clinical and epidemiological features of AMI is crucial for effective management.
  • Limited data exists on AMI characteristics in the Kuwaiti population.

Purpose of the Study:

  • To investigate the clinical and epidemiological profile of patients with AMI in Kuwait.
  • To determine the prevalence of major risk factors among these patients.
  • To identify factors associated with in-hospital morbidity and mortality.

Main Methods:

  • Retrospective study of 126 patients diagnosed with AMI and treated at a major Kuwaiti hospital in 1996.
  • Data extracted from CCU registers and medical records.
  • Multiple logistic regression analysis to identify predictors of in-hospital outcomes.

Main Results:

  • The study population (n=126) was predominantly male (84.9%) and expatriates (59.5%).
  • Key risk factors included diabetes (44.4%), hypertension (29.6%), and smoking (58% of males).
  • Older age (>60 years), anterior MI, and elevated admission glucose (>10 mmol/l) were linked to increased morbidity; older age and history of coronary heart disease (CHD) predicted mortality.

Conclusions:

  • Older age, anterior MI, and high admission glucose levels are significant predictors of in-hospital cardiac morbidity.
  • Older age and a history of CHD are significant predictors of in-hospital mortality.
  • Interventions targeting smoking cessation and early diabetes management are recommended to reduce AMI burden.
Abstract

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