中国北京特定病因心血管疾病住院的时空分析。
Spatial-temporal analysis of cause-specific cardiovascular hospital admission in Beijing, China.
机构信息
Department Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China.
Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China.
出版信息
Int J Environ Health Res. 2021 Sep;31(6):595-606. doi: 10.1080/09603123.2019.1677862. Epub 2019 Oct 17.
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.
背景
本研究旨在利用回顾性 SaTScan 分析探讨北京特定原因心血管疾病入院的时空模式。
方法
基于 2013 年至 2017 年总心血管疾病和特定原因心血管疾病（包括冠心病、心房颤动和心力衰竭）入院率，在区县级水平进行时空分析。我们使用联合点回归、全局 Moran's I 和 Anselin 的局部 Moran's I 以及 Kulldorff 的扫描统计来进行分析。
结果
研究期间，医院入院趋势呈下降趋势。入院率呈现出空间聚类模式，不同的原因导致了心血管疾病的差异。聚类主要发生在生态保护区，大兴、房山、西城等区分别发现了更可能的总心血管疾病、冠心病、心房颤动和心力衰竭聚类。
结论
特定原因心血管疾病的住院入院率呈现出空间聚类模式，特别是在生态保护区。
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