临床荟萃

• 论著 • 上一篇    下一篇

Caprini 2005风险评估模型在脑卒中急性期患者中的应用价值评价

  

  1. 苏州大学附属第一医院 护理部,江苏 苏州 215006
  • 出版日期:2020-09-20 发布日期:2020-07-09
  • 通讯作者: 王海芳,Email: wanghaifang8519@163.com
  • 基金资助:
    苏州市民生科技计划项目---脑卒中后深静脉血栓风险评估工具的筛选及分级管理方案的研究(SYS201743)

Application value of caprini 2005 risk assessment model in patients with acute stroke

  1. Nursing Department, First Hospital Affiliated to Soochow University, Suzhou 215006, China
  • Online:2020-09-20 Published:2020-07-09
  • Contact: Corresponding author: Wang Haifang, Email: wanghaifang8519@163.com

摘要: 目的  评价Caprini 2005风险评估模型对脑卒中急性期深静脉血栓形成(DVT)的诊断价值与临床可操作性。方法  采用前瞻性研究,选取2018年11月至2019年11月期间于苏州大学附属第一医院就诊的489例脑卒中急性期患者,以彩色多普勒超声检查作为DVT诊断金标准,应用Caprini 2005风险评估模型对患者进行风险评估。结果  Caprini 2005风险评估模型的ROC曲线下面积(AUC)为0.761(95%CI: 0.7200.798,P<0.01),当临界值取11分时,对应的最佳灵敏度与特异度为78.87%和66.51%。该模型的条目利用率为60.0%,存在16条评估条目利用率为0。结论  Caprini 2005风险评估模型的诊断价值中等,但临床可操作性不佳,其危险分层的最佳临界值与评估条目需适当调整。

关键词: 危险性评估, 脑血管意外, 血栓栓塞, 诊断

Abstract: Objective  To evaluate the diagnostic value and clinical operability of  Caprini 2005  Risk Assessment Model for deep venous thrombosis (DVT) in patients with acute stroke. Methods  A prospective study was conducted on 489 patients with acute stroke who were selected from First Hospital Affiliated to Soochow University from Nov. 2018 to Nov. 2019. Color Doppler ultrasound was used as the gold standard for DVT diagnosis, and Caprini 2005 Risk Assessment Model was used to assess the risk of the patients. Results  The area under curve (AUC) of receiver operating characteristic curve(ROC) of  Caprini 2005 Risk Assessment Model was 0.761(95%CI: 0.7200.798, P<0.0001).  When the  cutoff point was  11, the sensitivity and specificity were 78.87% and 66.51%, respectively. The item utilization rate of  Caprini Risk Assessment Model was 60.0%, and there were  16 evaluation items with the utilization rate of 0. Conclusion  Caprini 2005 Risk Assessment Model has moderate diagnostic  value, but its clinical operability is not good.The critical value and evaluation items of the model need to be adjusted appropriately.

Key words: risk assessment, cerebrovascular accident, thromboembolism, diagnosis