在急性部感染的重症监护室入院时,基于MRI的风险因素
Jari-Pekka Vierula1, Harri Merisaari1,2, Jaakko Heikkinen1
1Department of Radiology, Turku University Hospital, Turku, Finland.
European journal of radiology open
|April 16, 2025
概括
使用MRI发现的新风险评分,如尾胀,腹大小和C反应性蛋白水平,可以预测急性部感染的重症监护病房入院情况.
科学领域:
- 放射学和医学成像学 医学成像学
- 传染性疾病 传染性疾病
- 关键护理医学 关键护理医学
背景情况:
- 急性部感染可能导致严重并发症,包括重症监护室 (ICU) 的入院.
- 预测ICU入院对于及时干预和资源分配至关重要.
- 当前的预测方法可能无法充分利用先进的成像发现.
研究的目的:
- 为了确定患有急性部感染的患者接受ICU的风险因素.
- 利用MRI发现和临床数据开发和验证ICU入院的预测得分.
- 将开发的风险评分与个别预测器和机器学习模型的性能进行比较.
主要方法:
- 追溯分析535名患有MRI确认的急性部感染的患者.
- 在MRI上测量腹直径和评估尾胀 (RPE) 和中胀.
- 多变量后勤回归用于识别ICU入院预测因素并得出风险评分.
- 使用曲线下的面积 (AUC) 评估模型性能,并与机器学习模型进行比较.
主要成果:
- 对于ICU入院的重要预测因素包括RPE,最大腹直径 (≥40毫米) 和C反应蛋白 (CRP) (≥172毫克/升).
- 开发风险得分 (AUC=0.82) 与单独使用CRP,腹直径和RPE相比,显示出更好的预测性能.
- 风险评分达到80%的准确性,在ICU入院方面具有高负预测值 (95%).
结论:
- 结合RPE,瘤大小和CRP的风险模型为ICU入院提供了中度准确性和高负预测值.
- 磁力共振成像 (MRI) 结果在评估急性部感染的严重程度和预测ICU需求方面发挥着重要作用.
- 开发的风险评分可以帮助临床医生管理急性部感染患者.
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