Suppr超能文献

[日本山形县中风发病率的趋势]

[Trends in the incidence of stroke in Yamagata, Japan].

作者信息

Kondo Rei, Matsumori Yasuhiko, Kato Naoki, Tsuchiya Daisuke, Kokubo Yasuaki, Sato Shinya, Kurita Keiji, Kato Takeo, Kubota Isao, Kayama Takamasa

机构信息

Yamagata Society on Treatment for Cerebral Stroke.

出版信息

No To Shinkei. 2006 Mar;58(3):213-8.

Abstract

The purpose of this study was to clarify the incidence and features of acute cerebrovascular diseases in Yamagata Prefecture, by comparing with those in other prefectures reported in previous studies. Consecutive 13,639 cases of acute stroke were prospectively registered to Yamagata Society in Treatment for Cerebral Stroke (YSTCS) between January 1, 1998 and December 31, 2002. Cerebral infarction (CI), intracerebral hemorrhage (CH), subarachnoid hemorrhage (SAH) and transient ischemic attack (TIA) were observed in 58.4%, 25.8%, 11.4% and 4.4% of the patients, respectively. The frequencies of CH and SAH (37.2%) in Yamagata Prefecture were higher than those reported in other studies (p < 0.01). In addition, time from onset to admission in Yamagata Prefecture was longer than that reported in others(p< 0.01). This study was one of the largest stroke registration studies in Japan enrolling 13,639 patients. In addition, computed tomography (CT) and/or magnetic resonance image (MRI) was performed on admission in all patients. Diagnosis was made by a neurologist or a neurosurgeon based on CT and/or MRI findings. Our results might accurately reflect current status of stroke patients in Yamagata Prefecture.

摘要

本研究的目的是通过与以往研究报道的其他县的情况进行比较,阐明山形县急性脑血管疾病的发病率和特征。1998年1月1日至2002年12月31日期间,连续13639例急性中风患者被前瞻性登记到山形县脑卒中治疗协会(YSTCS)。脑梗死(CI)、脑出血(CH)、蛛网膜下腔出血(SAH)和短暂性脑缺血发作(TIA)分别在58.4%、25.8%、11.4%和4.4%的患者中观察到。山形县CH和SAH的发生率(37.2%)高于其他研究报道的发生率(p<0.01)。此外,山形县从发病到入院的时间比其他地区报道的时间更长(p<0.01)。本研究是日本最大的中风登记研究之一,纳入了13639名患者。此外,所有患者入院时均进行了计算机断层扫描(CT)和/或磁共振成像(MRI)检查。由神经科医生或神经外科医生根据CT和/或MRI检查结果进行诊断。我们的结果可能准确反映了山形县中风患者的现状。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验