Spatial-temporal analysis of cause-specific cardiovascular hospital admission in Beijing, China

Background: The main aim of this study was to explore the spatial-temporal patterns of cause-specific CVD admission in Beijing using retrospective SaTScan analysis. Methods: A spatial-temporal analysis was conducted at the district level based on the rates of total and cause-specific CVD admissions, including coronary heart disease (CHD), atrial fibrillation (AF), and heart failure (HF) from 2013 to 2017. We used joint point regression, Global Moran’s I and Anselin’s local Moran’s I, together with Kulldorff’s scan statistic. Results: Hospital admission trend decreased during the study period. Admission rates followed a spatially clustered pattern with differences occurring between cause-specific CVDs. Clusters were mainly identified in ecological preservation areas, with a more likely cluster found in Daxing, Fangshan, Xicheng district for total CVD, CHD, AF and HF, respectively. Conclusions: Hospital admission of cause-specific CVD showed spatial clustered pattern, especially in ecological preservation areas.