Geospatial epidemiology of Coronary Artery Disease (CAD) treated with Percutaneous Coronary Intervention (PCI) in Crete, Greece

被引:0
|
作者
Melidoniotis, Evangelos [1 ,2 ]
Kalogeropoulos, Kleomenis [3 ]
Tsatsaris, Andreas [4 ]
Zografakis-Sfakianakis, Michail [5 ]
Lazopoulos, George [1 ,6 ]
Tzanakis, Nikolaos [1 ,7 ]
Anastasiou, Ioannis [8 ]
Skalidis, Emmanouil [1 ,8 ]
机构
[1] Univ Crete, Fac Med, Iraklion, Greece
[2] Univ Hosp Heraklion, Iraklion 71500, Greece
[3] Univ West Attica, Dept Surveying & Geoinformat Engn, Athens, Greece
[4] Univ West Attica, Dept Surveying & Geoinformat Engn, Athens, Greece
[5] Hellen Mediterranean Univ, Nursing Dept, Iraklion, Greece
[6] Univ Hosp Heraklion, Cardiac Surg Div, Iraklion, Greece
[7] Univ Hosp Heraklion, Resp Dept, Iraklion, Greece
[8] Univ Hosp Heraklion, Cardiol Dept, Iraklion, Greece
关键词
coronary artery disease; spatial analysis; GIS; percutaneous coronary intervention; Crete; REGRESSION; ASSOCIATION;
D O I
10.4081/gh.2024.1251
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
Coronary artery disease (CAD) constitutes a leading cause of morbidity and mortality worldwide. Percutaneous coronary inter- vention (PCI) is indicated in a significant proportion of CAD patients, either to improve prognosis or to relieve symptoms not responding to optimal medical therapy. Thus the annual number of patients undergoing PCI in a given geographical area could serve as a surrogate marker of the total CAD burden there. The aim of this study was to analyze the potential, spatial patterns of PCI- treated CAD patients in Crete. We evaluated data from all patients subjected to PCI at the island's sole reference centre for cardiac catheterization within a 4 -year study period (2013-2016). The analysis focused on regional variations of yearly PCI rates, as well as on the effect of several clinical parameters on the severity of the coronary artery stenosis treated with PCI across Crete. A spatial database within the ArcGIS environment was created and an anal- ysis carried out based on global and local regression using ordi- nary least squares (OLS) and geographically weighted regression (GWR), respectively. The results revealed significant inter -munic- ipality variation in PCI rates and thus potentially CAD burden, while the degree and direction of correlation between key clinical factors to coronary stenosis severity demonstrated specific geo- graphical patterns. These preliminary results could set the basis for future research, with the ultimate aim to facilitate efficient healthcare strategies planning.
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页数:13
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