Literature DB >> 9588861

Subtypes and case-fatality rates of stroke: a hospital-based stroke registry in Taiwan (SCAN-IV).

J S Jeng1, T K Lee, Y C Chang, Z S Huang, S K Ng, R C Chen, P K Yip.   

Abstract

Stroke data bank can afford important information regarding risk factors, pathogenesis, prognosis, etc. By means of hospital-based stroke registry, we investigated the risk factors and case-fatality rates in different types of stroke and transient ischemic attack (TIA) patients at the National Taiwan University Hospital in 1995. After excluding ineligible patients, 995 patients aged 1-98 years (575 men and 420 women) were recruited. Men predominated in all age groups for stroke and TIA in general except for cerebral hemorrhage (CH) in patients aged < 35 years and subarachnoid hemorrhage (SAH) in patients aged > or = 45 years. Of these, 676 (67.9%), 41 (4.1%), 228 (22.9%) and 50 (5%) patients were classified in the categories of cerebral infarction (CI), TIA, CH and SAH, respectively. The CI/CH ratio was 2.96. Hypertension remained one of the most important risk factors for CI, CH and TIA patients. Severe extracranial carotid artery stenosis (> or = 50%) was found in 12% of the CI patients and 27% of the TIA patients, but not found in the CH and SAH patients. Of these patients, the 30-day case-fatality rate was 10.9%, highest in SAH (30%), followed by CH (24.1%) and CI (5.6%). There were 41 in-hospital stroke patients who had significantly higher case-fatality rates than the other stroke patients (P<0.001 for all stroke, CI and CH patients by chi2 test). As compared to the previous stroke registries in Taiwan, there is a secular trend of increasing CI/CH ratios. These findings in Taiwan were compared with those in other populations, including other Asian, Caucasian and black populations. The CI/CH ratios in Asian populations, including Chinese, Japanese and Korean, were much lower than those in Caucasian and black populations. Dietary, environmental and genetic factors probably play important roles in these differences.

Entities:  

Mesh:

Year:  1998        PMID: 9588861     DOI: 10.1016/s0022-510x(98)00046-x

Source DB:  PubMed          Journal:  J Neurol Sci        ISSN: 0022-510X            Impact factor:   3.181


  6 in total

1.  Polymorphisms in the PTX1 may not be associated with ischemic stroke susceptibility.

Authors:  Heyin Mi; Wenli Hu
Journal:  Int J Clin Exp Med       Date:  2014-11-15

2.  Variations of risk factors for ischemic stroke and its subtypes in Chinese patients in Taiwan.

Authors:  Chung-Fen Tsai; Cathie L M Sudlow; Niall Anderson; Jiann-Shing Jeng
Journal:  Sci Rep       Date:  2021-05-06       Impact factor: 4.379

3.  Exploring gender distribution in patients with acute stroke: A multi-national approach.

Authors:  Christian Foerch; Kavian Ghandehari; Gelin Xu; Subash Kaul
Journal:  J Res Med Sci       Date:  2013-01       Impact factor: 1.852

4.  C-reactive Protein -717A>G and -286C>T>A Gene Polymorphism and Ischemic Stroke.

Authors:  Yan Liu; Pei-Liang Geng; Fu-Qin Yan; Tong Chen; Wei Wang; Xu-Dong Tang; Jing-Chen Zheng; Wei-Ping Wu; Zhen-Fu Wang
Journal:  Chin Med J (Engl)       Date:  2015-06-20       Impact factor: 2.628

5.  Demographic and clinical characteristics of inpatient stroke patients in Turkey.

Authors:  Duygu Geler Külcü; Banu Kuran; Ali Yavuz Karahan; Neşe Özgirgin; Sibel Başaran; Ayşe Yalıman; Serpil Savaş; Canan Tıkız; İlknur Aktaş; Ayşenur Bardak; Tiraje Tuncer; Figen Yılmaz; Belgin Erhan; Hülya Şirzai; Berna Çelik; Gülgün Durlanık; Beril Doğu; Jülide Öncü; Berrin Hüner; Gülcan Öztürk; Nurten Eskiyurt; F Merih Akpınar; Feyza Ünlü Özkan; Nurdan Paker; Derya Soy Buğdaycı; Berrin Gündüz; Özlem Şatır; Nilgün Şimşir Atalay; Necmettin Yıldız; Özlem Altındağ; Saliha Eroğlu Demir; Erkan Kaya; Demet Uçar; Aylin Sarı; Gülçin Kaymak Karataş; Özden Özyemişçi Taşkıran
Journal:  Turk J Phys Med Rehabil       Date:  2022-03-01

Review 6.  Comparing Risk Factor Profiles between Intracerebral Hemorrhage and Ischemic Stroke in Chinese and White Populations: Systematic Review and Meta-Analysis.

Authors:  Chung-Fen Tsai; Niall Anderson; Brenda Thomas; Cathie L M Sudlow
Journal:  PLoS One       Date:  2016-03-18       Impact factor: 3.240

  6 in total

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