动脉瘤下arachnoid出血中的脆弱性:风险分析指数的指数
Alis J Dicpinigaitis1, Syed Faraz Kazim2, Fawaz Al-Mufti1,3
1School of Medicine, New York Medical College, Valhalla, NY, 10595, USA.
Journal of neurology
|June 17, 2023
概括
风险分析指数 (RAI) 有效地预测了动脉瘤下关节出血 (aSAH) 患者的功能不良结果. 这种脆弱性指标在大规模数据分析中表现优于其他指标.
科学领域:
- 神经外科 神经外科
- 关键护理医学 关键护理医学
- 老年病的医生 老年病的医生
背景情况:
- 有限的研究存在于动脉瘤下arachnoid出血 (aSAH) 的脆弱性评估使用广泛的数据集.
- 风险分析指数 (RAI) 提供了临床和追溯评估功能,使其与基于行政注册表的指数区别开来.
研究的目的:
- 为了比较风险分析指数 (RAI) 与修改的脆弱指数 (mFI) 和医院脆弱风险评分 (HFRS) 的有效性,预测aSAH患者的结果.
- 评估这些脆弱指数在大量aSAH住院患者中的区分能力.
主要方法:
- 从2015年到2019年的全国住院患者样本 (NIS) 中使用了成人aSAH住院的数据.
- 采用复杂样本的统计方法来比较RAI,mFI和HFRS的效果大小和区分能力.
- 使用NIS-SAH结果测量 (NIS-SOM) 评估了功能不良的结果,该测量结果显示与修改的兰金表得分高于2的高度一致.
主要成果:
- 在42,300次aSAH住院治疗中,RAI在顺序和分类脆弱分层中展示了NIS-SOM最大的效果大小.
- 与HFRS相比,RAI在高等级aSAH中对NIS-SOM显示出明显更大的歧视 (c-统计值0.651与0.615).
- 亨特和赫斯RAI组合模型在预测NIS-SOM (c-统计值0.837与其他) 中明显优于组合的mFI和HFRS模型.
结论:
- 风险分析指数 (RAI) 是aSAH中功能性结果差的强有力的预测指标,独立于已确定的风险因素.
- 与mFI和HFRS相比,RAI在预测aSAH患者的功能结果方面表现出更好的区分能力.
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