提高患者的治疗结果:一种基于全身免疫炎症指数的新型诺莫格拉姆预测模型,用于内镜下粘膜解剖后食道狭窄的食道狭窄
Chen Wang1, Mengqiu Tang2, Dawei Chen1
1Department of Gastroenterology, Ningbo Medical Center Lihuili Hospital, Ningbo University, Ningbo, China.
Cancer medicine
|September 30, 2024
概括
使用系统性免疫-炎症指数 (SII) 的新诺米图准确地预测了内镜下粘膜解剖 (ESD) 后食道狭窄. 这种工具有助于临床医生改善早期食道癌治疗患者的结果.
科学领域:
- 胃肠病学 胃肠病学
- 在瘤学瘤学.
- 手术创新 在外科创新.
背景情况:
- 内镜下粘膜切割 (ESD) 是早期食道癌的关键治疗方法.
- 手术后食道狭窄是一种常见的并发症,影响患者的生活质量和治疗成功.
- 需要准确预测食道狭窄,以优化患者管理.
研究的目的:
- 开发和验证ESD后食道狭窄的预测模型.
- 确定关键的临床因素,包括与ESD后狭窄相关的系统性免疫炎症指数 (SII).
- 为了创建一个用户友好的临床应用的nomogram.
主要方法:
- 对124名接受ESD的早期食道癌患者的回顾性分析.
- 后勤回归以确定食道狭窄的危险因素.
- 使用ROC曲线,校准曲线和DCA.构建和验证一个包含损伤深度,长度,切除范围和SII的名图.
主要成果:
- 损伤透深度,纵向长度,周边切除范围和SII是ESD后食道狭窄的独立风险因素.
- 预测的最佳SII截止值为312.67.
- 开发的nomogram显示了令人满意的预测性能和预测和观察结果之间的良好一致性.
结论:
- 一种基于SII和其他临床因素的新型诺米克图准确地预测ESD后食道收缩.
- 这种预测工具为临床医生提供了直观的指导.
- 诺姆图有潜力改善治疗策略和患者的治疗结果.
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