• 国家药监局综合司 国家卫生健康委办公厅
  • 国家药监局综合司 国家卫生健康委办公厅

脑白质高信号严重程度与络病学证型分布研究

通讯作者: 邱伟文, weiwenq@hotmail.com
DOI:10.12201/bmr.202411.00015
声明:预印本系统所发表的论文仅用于最新科研成果的交流与共享,未经同行评议,因此不建议直接应用于指导临床实践。

Correlating White Matter Hyperintensities Severity with Collateral Disease Syndrome Type Distribution

Corresponding author: QIU Weiwen, weiwenq@hotmail.com
  • 摘要:【摘要】目的 探讨脑白质高信号(WMH)严重程度与络病学证型的分布关系情况。方法 采用横断面调查,纳入208例符合标准的脑小血管病WMH患者。所有入组研究对象均完成络病学辨证分型,在磁共振液体衰减反转恢复(FLAIR)序列图像上对WMH进行Fazekas评分及体积的测量。结果 在208例患者当中,脑络失荣型52例(25.00%),Fazekas评分为3(2,3),WMH体积分别为(8.80±9.37)ml;脑络瘀阻型67例(32.21%),Fazekas评分为4(3,4),WMH体积分别为(13.42±9.18)ml;脑络绌急型47例(22.60%),Fazekas评分为4(3,5),WMH体积分别为(14.60±10.07)ml;脑络瘀塞型42例(20.19%),Fazekas评分为4(4,5),WMH体积分别为(18.65±10.71)ml。其中Fazekas评分为1-2分的患者55例(26.44%)以脑络失荣最为常见,3-4分有105例(50.48%)以脑络瘀阻型最为常见,5-6分有48例为(23.08%)以脑络瘀塞型最为常见。脑络失荣型、脑络瘀塞型与其他证型之间在Fazekas评分、WMH体积方面的差异具有统计学意义(P<0.05);脑络瘀阻型与脑络绌急型之间则无统计学意义(P>0.05)。结论 WMH严重程度与络病证型分布具有一定的对应关系,且可作为评估络病患者病情严重程度的参考指标。

    关键词: 络病学;辨证分型;脑白质高信号;脑小血管病

     

    Abstract: 【Abstract】 Objective To explore the relationship between the severity of white matter hyperintensities (WMH) and the distribution of collateral disease syndrome types. Methods A cross-sectional study was conducted, including 208 patients with cerebral small vessel disease and white matter hyperintensities who met the criteria. All enrolled subjects in the study completed the collateral disease syndrome differentiation. WMH was graded on magnetic resonance imaging fluid-attenuated inversion recovery (FLAIR) sequences using the Fazekas scale and measured for volume. Results Among the 208 patients, there were 52 cases (25.00%) of the Brain Collateral Impoverishment (BCI) type, with a Fazekas score of 3 (2, 3), and WMH volume of (8.80±9.37) ml; 67 cases (32.21%) of the Brain Collateral Stasis (BCS) type, with a Fazekas score of 4 (3, 4), and WMH volume of (13.42±9.18) ml; 47 cases (22.60%) of the Brain Collateral Constraint (BCC) type, with a Fazekas score of 4 (3, 5), and WMH volume of (14.60±10.07) ml; and 42 cases (20.19%) of the Brain Collateral Occlusion (BCO) type, with a Fazekas score of 4 (4, 5), and WMH volume of (18.65±10.71) ml. Of these, 55 patients (26.44%) with a Fazekas score of 1-2 were most commonly of the BCI type, 105 patients (50.48%) with a score of 3-4 were most commonly of the BCS type, and 48 patients (23.08%) with a score of 5-6 were most commonly of the BCO type. There were statistically significant differences in Fazekas scores and WMH volumes between the BCI and BCO types and other syndrome types (P<0.05), but no significant differences were observed between the BCS and BCC types (P>0.05).Conclusion The severity of WMH corresponds to a certain distribution of collateral disease syndrome types, and can serve as a reference indicator for assessing the severity of illness in patients with collateral disease.

    Key words: collateral disease; syndrome differentiation; white matter hyperintensities; cerebral small vessel disease.

    提交时间:2024-11-08

    版权声明:作者本人独立拥有该论文的版权,预印本系统仅拥有论文的永久保存权利。任何人未经允许不得重复使用。
  • 图表

  • 周磊. 基于PDCA构建专病模板为导向的CAP患者 病情严重程度评估体系. 2024. doi: 10.12201/bmr.202409.00064

    周海, 彭斐灵, 韦昌法. 中医诊断学辨证知识图谱构建研究与实践. 2020. doi: 10.12201/bmr.202004.00036

    李瑞瑶, 许婧怡, 戴浩宇, 孙慧文, 鲍瀛, 华履春, 吴天星. 基于深度置信网络的2型糖尿病微血管并发症预测. 2024. doi: 10.12201/bmr.202404.00021

    连万民. 基于数据治理的脑血管专病数据库建设实践. 2022. doi: 10.12201/bmr.202210.00011

    邓丽华, 刘晓鹰, 徐克菲. 贝利尤单抗联合中药辨证方治疗狼疮性肾炎患儿1例. 2024. doi: 10.12201/bmr.202409.00041

    孟意琳, 胡霖霖, 张永华. 中医辨证治疗失眠对抑郁症早期干预的研究. 2024. doi: 10.12201/bmr.202408.00051

    李鑫泰, 童理, 杨剑文. 类“脑梗死”影像的造影剂脑病1例及文献复习. 2024. doi: 10.12201/bmr.202406.00035

    孙婕. 单病种管理系统的设计与应用. 2023. doi: 10.12201/bmr.202303.00020

    段磊, 张翔, 张研. 按病种的疾病诊疗难度测度及应用研究. 2024. doi: 10.12201/bmr.202403.00007

    刘迷迷, 杜国霞, 周毅, 吴斌, 吴晓瑛. 肝硬化专病数据库建设与应用研究. 2021. doi: 10.12201/bmr.202104.00014

  • 序号 提交日期 编号 操作
    1 2024-10-07

    bmr.202411.00015V1

    下载
  • 公开评论  匿名评论  仅发给作者

引用格式

占剑虎, 邱伟文, 蓝海源, 王华强. 脑白质高信号严重程度与络病学证型分布研究. 2024. biomedRxiv.202411.00015

访问统计

  • 阅读量:85
  • 下载量: 0
  • 评论数:0

Email This Article

User name:
Email:*请输入正确邮箱
Code:*验证码错误