Geospatial epidemiology of coronary artery disease treated with percutaneous coronary intervention in Crete, Greece

Evangelos Melidoniotis1, Kleomenis Kalogeropoulos2, Andreas Tsatsaris3

  • 1Faculty of Medicine, University of Crete, Heraklion; University Hospital of Heraklion, Voutes, Heraklion. v.melidoniotis@gmail.com.

Geospatial Health
|May 16, 2024
PubMed

Insights

This study analyzed percutaneous coronary intervention (PCI) rates for coronary artery disease (CAD) in Crete. Findings reveal significant regional variations in PCI use, suggesting differing CAD burdens across municipalities.

Area of Science:

  • Cardiology
  • Public Health
  • Geographic Information Systems

Background:

  • Coronary artery disease (CAD) is a major global health concern.
  • Percutaneous coronary intervention (PCI) is a key treatment for CAD.
  • PCI rates can indicate the prevalence of CAD within a region.

Purpose of the Study:

  • To investigate the spatial distribution of PCI-treated CAD patients in Crete.
  • To identify geographical variations in PCI utilization.
  • To explore correlations between clinical factors and coronary stenosis severity across regions.

Main Methods:

  • Utilized data from all PCI procedures at Crete's cardiac catheterization center (2013-2016).
  • Employed spatial analysis using ArcGIS, including Ordinary Least Squares (OLS) and Geographically Weighted Regression (GWR).
  • Analyzed regional differences in annual PCI rates and clinical parameter effects on stenosis severity.

Main Results:

  • Observed significant inter-municipality variations in PCI rates, indicating potential disparities in CAD burden.
  • Identified distinct geographical patterns in the relationship between clinical factors and coronary stenosis severity.
  • Demonstrated spatial heterogeneity in CAD treatment and disease characteristics.

Conclusions:

  • PCI rates serve as a potential surrogate marker for CAD burden.
  • Geographic variations in PCI utilization and clinical factor correlations exist within Crete.
  • Findings support the need for spatially tailored healthcare strategies for CAD management.

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