Acute myocardial infarction in sub-Saharan Africa: the need for data

Julian T Hertz1, Joseph M Reardon2, Clarissa G Rodrigues3

  • 1Department of Emergency Medicine, Vanderbilt University, Nashville, Tennessee, United States of America.

Plos One
|May 13, 2014
PubMed

Insights

Prevalence of acute myocardial infarction in sub-Saharan Africa is poorly documented. More population-based data and standardized diagnostic criteria are needed to guide cardiovascular disease prevention and treatment strategies in the region.

Area of Science:

  • Cardiology
  • Public Health
  • Epidemiology

Background:

  • Cardiovascular disease burden is increasing in low- and middle-income countries.
  • Trends in acute myocardial infarction prevalence in sub-Saharan Africa are not well described.
  • Growing recognition of cardiovascular disease necessitates understanding regional prevalence data.

Purpose of the Study:

  • To systematically review and describe the prevalence of acute myocardial infarction (AMI) in sub-Saharan Africa.
  • To identify existing data on AMI prevalence within the sub-Saharan African region.
  • To highlight gaps in population-based data for AMI in sub-Saharan Africa.

Main Methods:

  • Systematic review of multiple databases (PubMed, EMBASE, Global Health Archive, CINAHL, Web of Science).
  • Inclusion of observational studies reporting AMI incidence or prevalence in sub-Saharan Africa, defined by EKG or biomarkers, published after 1992.
  • Quality assessment and data extraction by two independent reviewers.

Main Results:

  • Seven studies met inclusion criteria, encompassing 92,378 participants across five countries.
  • Methodological quality scores ranged from 3 to 7 out of 8.
  • Reported prevalence of acute myocardial infarction varied widely, from 0.1% to 10.4%.

Conclusions:

  • Insufficient population-based data exists on acute myocardial infarction prevalence in sub-Saharan Africa.
  • Need for well-designed registries and surveillance studies with common diagnostic criteria.
  • Improved data is critical for effective prevention and treatment strategies for cardiovascular disease in the region.
Abstract

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