在食道癌患者的术后呼吸衰竭预测模型的构建和验证
Bo Yang1, Yue Bai1, Lili Lang1
1Department of Thoracic Surgery, Sun Yat-sen University Cancer Center Gansu Hospital, Lanzhou, China.
Journal of thoracic disease
|August 14, 2025
概括
这项研究确定了食道癌患者术后呼吸衰竭的关键风险因素. 使用这些因素的预测模型显示了早期干预的良好表现.
科学领域:
- 在瘤学瘤学.
- 呼吸系统医学 呼吸系统医学
- 手术并发症 手术并发症
背景情况:
- 手术后呼吸衰竭 (PRF) 是食道癌 (EC) 手术后的一种严重并发症,与高死亡率有关.
- 早期发现和干预对于改善患者的治疗结果至关重要.
- 这项研究的重点是确定风险因素,并开发EC患者中PRF的预测工具.
研究的目的:
- 在EC患者中探索与PRF相关的风险因素.
- 开发和验证PRF的预测模型.
- 加强早期诊断和个性化干预策略.
主要方法:
- 来自两个癌症中心的265名EC患者的临床数据的回顾性分析.
- 患者被分为培训,内部验证和外部验证组.
- 最小绝对收缩和选择操作员 (LASSO) -逻辑回归用于特征选择和模型构建.
主要成果:
- 确定的PRF风险因素包括吸烟指数≥400,一秒钟内低强制呼气量 (FEV1),手术前的低白血症,手术时间延长,以及静脉.
- 预测模型实现了良好的区分能力,AUC值为0.856 (训练),0.839 (内部验证) 和0.773 (外部验证).
- 该模型展示了有利的预测准确性和显著的临床实用性.
结论:
- 一个LASSO-逻辑回归模型有效地预测了EC患者的PRF.
- 该模型在内部和外部验证队列中显示出强大的性能和临床适用性.
- 这种工具可以帮助临床医生识别高风险患者,以便及时进行个性化干预.
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