急性中风患者深静脉血栓形成风险预测模型:系统性审查和元分析
Han Fu1, Dongjiang Hou2, Ran Xu1
1College of Nursing, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
International journal of nursing studies
|November 9, 2023
概括
在急性中风患者中,深静脉血栓 (DVT) 的风险预测模型显示公平的歧视,但存在高偏差. 未来的研究需要更大的样本和严格的设计,以可靠地预测DVT.
科学领域:
- 神经学 神经学
- 心血管医学 心血管医学
- 医疗信息学 医疗信息学
背景情况:
- 对于急性中风患者,深静脉血栓塞 (DVT) 风险预测模型的数量越来越多.
- 现有的DVT模型的质量和临床适用性在很大程度上是未知的.
研究的目的:
- 系统地审查和评估在急性中风患者中公布的DVT风险预测模型的质量.
主要方法:
- 观察性研究的系统审查和元分析.
- 在多个数据库 (PubMed,Embase,CINAHL等) 进行了搜索. 在2022年11月之前.
- 使用PROBAST检查清单评估偏差风险和适用性.
主要成果:
- 从九项研究中包括了九个DVT风险预测模型,所有这些研究都使用了逻辑回归.
- 在急性中风患者中深静脉血栓 (DVT) 发生率差异很大 (0.4%-28%).
- 模型显示公平歧视 (AUC 0.76),但所有模型都存在因数据来源和报告而导致偏差的高风险.
结论:
- 目前对急性中风患者的DVT风险预测模型表明公平的歧视,但受到偏差高风险的限制.
- 未来的研究需要更大的样本大小,更强大的设计,以及多中心的外部验证,以提高临床效用.
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