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多民族亚洲人群中的全国性卒中发病率、亚型、管理及结局:新加坡卒中登记——方法学

Countrywide stroke incidence, subtypes, management and outcome in a multiethnic Asian population: the Singapore Stroke Registry--methodology.

作者信息

Venketasubramanian Narayanaswamy, Chang Hui Meng, Chan Bernard Poon Lap, Young Sherry H, Kong Keng He, Tang Kok Foo, Ang Yan Hoon, Ahmad Aftab, Chow Khuan Yew

机构信息

Raffles Neuroscience Centre, Raffles Hospital, Singapore.

Department of Neurology, National Neuroscience Institute - Singapore General Hospital Campus, Singapore.

出版信息

Int J Stroke. 2015 Jul;10(5):767-9. doi: 10.1111/ijs.12472. Epub 2015 Mar 5.

DOI:10.1111/ijs.12472
PMID:25753306
Abstract

RATIONALE

Because of its rapidly-growing and aging populations, the global burden of stroke will be felt most strongly in Asia. Data from Asia are scarce. Even rarer are data from multiethnic populations.

AIM

The Singapore Stroke Registry is a countrywide registry of risk factors, stroke subtypes, management and outcome of incident and recurrent stroke in multiethnic Singapore.

METHODS AND DESIGN

Using a cold-pursuit design, potential subjects are identified from medical claims, hospital discharge summaries and death certificates. Standardized methods are used for case ascertainment and data recording by trained staff into standardized case report forms. All ages and both genders are included.

STUDY OUTCOME

Stroke incidence, subtypes and mortality will be calculated. Trend data will be obtained. Inter-ethnic differences will be explored.

DISCUSSION

The Registry has many features of an 'ideal' incidence study. Previously unavailable countrywide data on an Asian population will be acquired. The unique data on inter-ethnic differences will help fill knowledge gaps in stroke epidemiology.

摘要

原理

由于其快速增长的人口和老龄化人口,全球中风负担在亚洲感受最为强烈。来自亚洲的数据稀缺。来自多民族人群的数据更为罕见。

目的

新加坡中风登记处是一个全国性登记处,记录多民族新加坡人群中首次发生和复发性中风的危险因素、中风亚型、治疗及预后情况。

方法与设计

采用冷追踪设计,从医疗理赔、医院出院小结和死亡证明中识别潜在研究对象。由经过培训的工作人员使用标准化方法进行病例确定,并将数据记录到标准化病例报告表中。纳入所有年龄和性别的人群。

研究结果

计算中风发病率、亚型和死亡率。获取趋势数据。探索种族间差异。

讨论

该登记处具有“理想”发病率研究的许多特征。将获取此前无法获得的关于亚洲人群的全国性数据。关于种族间差异的独特数据将有助于填补中风流行病学方面的知识空白。

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