一个动态的nomogram预测外科手术期间脑部胀在患有创伤性脑损伤的患者解压切除术:一个回顾性研究
Dongzhou Zhuang1, Tian Li2, Huan Xie3
1Department of Neurosurgery, Fuzong Clinical Medical College of Fujian Medical University, Fuzhou.
International journal of surgery (London, England)
|January 5, 2024
概括
确定了手术内脑膨胀 (IOBB) 风险因素,包括横向鼻的计算机断层扫描 (CT) 值. 结合后勤回归和机器学习的动态名录图准确地预测了解压切除术患者的IOBB.
科学领域:
- 神经外科 神经外科
- 放射学 放射学是一门学科.
- 医疗信息学 医疗信息学
背景情况:
- 内手术性脑膨胀 (IOBB) 是神经外科手术期间的一种并发症.
- 确定IOBB的预测因素对于患者安全至关重要.
研究的目的:
- 调查IOBB的风险因素,重点是患病的横横侧鼻腔的计算机断层扫描 (CT) 值.
- 开发IOBB的预测模型,用于接受创伤性解压脑膜切除术的患者.
主要方法:
- 追溯分析937名接受创伤性去压缩性脑膜切除术的患者.
- 后勤回归和机器学习模型被开发和验证.
- 创建了一个动态名ogram,并作为在线计算器发布.
主要成果:
- 在开发和验证队列中,IOBB分别发生在14.4%和16.0%的患者身上.
- 独立的危险因素包括年龄,皮膜下血瘤,逆侧骨折,脑损伤,以及患病的横侧横鼻腔的CT值.
- 后勤回归模型的AUC为0.930 (开发) 和0.913 (验证);AdaBoost模型的AUC为0.998.
结论:
- 患病的横侧横鼻腔的CT值是IOBB的重要预测因素.
- 综合后勤回归和机器学习名录为神经外科医生提供了准确的IOBB预测.
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