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中国颅内出血和缺血性卒中的频率变化:一项全国性、多中心、医院登记研究。

Variation in the frequency of intracerebral haemorrhage and ischaemic stroke in China: a national, multicentre, hospital register study.

机构信息

The George Institute for International Health, Royal Prince Alfred Hospital and University of Sydney, Sydney, NSW, Australia. jwei @ george.org.au

出版信息

Cerebrovasc Dis. 2010;29(4):321-7. doi: 10.1159/000278927. Epub 2010 Jan 30.

DOI:10.1159/000278927
PMID:20130397
Abstract

BACKGROUND

Intracerebral haemorrhage (ICH) accounts for about one third of all strokes in China, a proportion that is three times higher than in Western populations. We aimed to determine the frequency distribution of ICH in China.

METHODS

Using the ChinaQUEST hospital register database, the proportional frequency of ICH was determined by region and city location. Linear regression analysis was then performed to evaluate associations between the frequency of ICH and distribution of risk factors by city.

RESULTS

Proportional frequency of ICH was 25% overall, but varied markedly across major geographical regions ranging from 11 to 36%. The differences between cities were even more profound, with the age- and sex-standardised proportional frequencies ranging from 5% in Guangzhou to 55% in Baoji. Significant associations were found between the proportional frequency of ICH and history of diabetes, hyperlipidaemia, and a high body mass index. Notably, cities with higher frequencies of diabetic, hyperlipidaemic or overweight individuals tended to have lower frequencies of ICH.

CONCLUSIONS

Considerable interregional variation in the distribution of ICH in China can be partially explained by differences in distribution of risk factors in the population.

摘要

背景

脑出血(ICH)约占中国所有中风的三分之一,这一比例是西方人群的三倍。本研究旨在确定中国ICH 的频率分布。

方法

利用中国 QUEST 医院登记数据库,按地区和城市位置确定 ICH 的比例频率。然后进行线性回归分析,以评估城市间 ICH 频率与危险因素分布之间的关联。

结果

ICH 的总体比例频率为 25%,但在主要地理区域之间差异显著,范围为 11%至 36%。城市之间的差异更为明显,年龄和性别标准化的比例频率范围从广州的 5%到宝鸡的 55%。ICH 的比例频率与糖尿病、高脂血症和高体重指数的病史显著相关。值得注意的是,糖尿病、高脂血症或超重人群比例较高的城市,ICH 发生率较低。

结论

中国 ICH 分布的区域性差异在一定程度上可以通过人群中危险因素的分布差异来解释。

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