视频辅助胸部手术后慢性术后疼痛多变量预测模型的开发和验证协议
Jing-Hui Hu1,2, Hai-Jing Shi1,2, Zhen-Yu Han3
1Departments of Anesthesiology, First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, People's Republic of China.
Journal of pain research
|July 10, 2023
概括
这项研究开发了两种模型,用于预测视频辅助胸部手术 (VATS) 后的慢性术后疼痛 (CPSP). 早期预测可以为经历手术后持续疼痛的患者提供及时干预指导.
科学领域:
- 胸部外科手术 胸部外科手术
- 疼痛医学 医学 疼痛医学
- 临床预测建模模型
背景情况:
- 慢性术后疼痛 (CPSP) 是胸部手术后的常见和衰弱的并发症.
- 它与显著的长期不良健康结果有关.
- 在视频辅助胸部手术 (VATS) 后有效预测CPSP对于及时干预至关重要.
研究的目的:
- 开发和验证CPSP在增值税后的两个不同的预测模型.
- 通过早期术后数据确定CPSP的关键预测因子.
- 为了促进患有持续疼痛风险的患者的早期识别和管理.
主要方法:
- 一个单一中心前性队列研究,涉及500名接受VATS肺切除的成年患者.
- 基于术后1日和14日数据的逻辑回归的两个模型的开发.
- 通过引导和外部验证进行内部验证,评估歧视 (AUC) 和校准 (校准曲线,Hosmer-Lemeshow测试).
主要成果:
- 为CPSP开发和验证了两个预测模型.
- 模型性能指标 (歧视和校准) 被评估为临床实用性.
- 结果将以模型公式和名ograms的形式呈现,以便实际应用.
结论:
- 开发的预测模型提供了一个工具,用于在VATS后早期识别患有CPSP风险的患者.
- 这些模型可以帮助临床医生实施有针对性的预防和治疗策略.
- 这项研究通过解决持续的术后疼痛,有助于改善患者的治疗结果.
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