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Updated: Mar 11, 2026

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没有镇静剂的结肠镜的预测可行性,使用诺莫格拉姆模型

Haoxuan Chen¹, Yujie Dong², Shuxin Zhang³

¹Department of Anorectal, Dongzhimen Hospital, Beijing University of Chinese Medicine.

Journal of visualized experiments : JoVE

|March 9, 2026

概括

没有镇静剂的结肠镜完成受到便秘,高焦虑和缺乏经验的医生的阻碍. 预测模型有助于识别有风险的患者,以提高结肠镜成功率和患者体验.

科学领域:

胃肠病学胃肠病学
医学诊断医学诊断医学诊断
公共卫生公共卫生

背景情况:

结肠直肠癌是一个重要的全球健康问题.
结肠镜检查是结肠直肠癌的重要查方法.
无静止结肠镜可为患者带来好处,但在完成手术时面临挑战.

研究的目的:

为了确定与未经安慰的结肠镜不完整相关的风险因素.
开发一种预测模型,用于识别高风险的未定化结肠镜检查不完整的患者.
为了提高完成率和患者的经验,无化结肠镜检查.

主要方法:

对745名接受非镇静结肠镜检查的患者的回顾性分析.
将患者分为完成 (n=670) 和不完成 (n=75) 组.
单变量和多变量逻辑回归分析以确定风险因素;名ogram模型开发和验证.

主要成果:

便秘 (OR=4.981),高焦虑 (OR=8.499) 和经验较少的医生 (OR=3.319) 的检查是不完全的独立风险因素.
开发的诺米图表显示出良好的预测准确性 (霍斯默-莱梅肖: χ2=4.561,p=0.683) 和辨别能力 (AUC=0.886).

结论:

结合便秘,焦虑和医生经验的预测模型可以识别可能不完全接受未安静结肠镜检查的患者.
在手术前识别高风险患者,可以优化程序规划,可能包括镇静或有针对性的干预措施.
提高非化结肠镜完成率可以提高患者对查方案的坚持,并改善整体结果.

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