在急性尾炎的前24小时内,开发和验证用于预测穿孔的诺米克图
Yong Mei1,2, Zhuo Huang1, Zhi-Yuan Huang2
1School of Medicine, Wuhan University of Science and Technology, Hubei Province, China.
SAGE open medicine
|November 25, 2025
概括
使用临床和成像数据,一种新的名图准确地预测急性尾炎的早期穿孔. 该工具有助于在24小时内识别高风险患者,改善手术结果.
科学领域:
- 外科胃肠道外科手术
- 医疗成像医学成像
- 预测分析是一种预测分析.
背景情况:
- 急性尾炎是一种常见的手术紧急情况.
- 早期穿孔显著增加了发病率和死亡率.
- 准确的风险分层对于及时干预至关重要.
研究的目的:
- 开发和验证一个名ogram预测模型.
- 为了确定患有急性尾炎早期 (在24小时内) 穿孔风险的患者.
- 用客观的临床和成像指标进行风险评估.
主要方法:
- 对880名急性尾炎患者进行了回顾性研究.
- 使用LASSO和多变量逻辑回归来开发一个预测性名ogram.
- 模型的验证使用接收器运行特征 (ROC) 曲线 (AUC) 下的面积和霍斯默-莱梅斯霍夫测试.
主要成果:
- 确定了关键预测因素:尾直径,温度,白细胞计数,纤维素,便,年龄和糖尿病.
- 个别因素的预测能力中等 (AUC从0.673到0.759).
- 结合的诺米图实现了0.891的高AUC,证明了强大的预测性能.
结论:
- 结合临床和成像因素的诺莫图有效预测急性尾炎的早期穿孔.
- 该模型证明了在24小时内估计穿孔风险的临床实用性.
- 这种工具可以帮助优化患者管理和手术规划.
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