基于系统性炎症标志物的非小细胞肺癌中预测术后心肺并发症的诺莫грам:一项回顾性研究
Zemin He1, Keting Liu2, Ling Wu3
1Department of Thoracic Surgery, The First People's Hospital of Shuangliu District (West China Airport Hospital of Sichuan University), Chendu, Sichuan Province, 610200, People's Republic of China.
Journal of inflammation research
|July 15, 2025
概括
这项研究确定了关键的炎症标志物,以预测肺癌手术并发症. 一个新的工具帮助医生评估患者的风险,以获得更好的结果.
科学领域:
- 在瘤学瘤学.
- 胸部外科手术 胸部外科手术
- 关键护理医学 关键护理医学
背景情况:
- 手术后的心肺并发症对接受手术的非小细胞肺癌 (NSCLC) 患者构成重大风险.
- 准确预测这些并发症对于有效的患者管理和改善手术结果至关重要.
研究的目的:
- 研究NSCLC患者系统性炎症标志物和术后心肺并发症之间的关联.
- 为评估这些并发症的风险开发一个预测工具,一个列图.
主要方法:
- 从2022年7月到2024年12月的手术NSCLC患者数据的分析.
- 后勤回归用于识别预测因素并构建列图模型.
- 模型性能使用C指数,AUC,校准曲线和决策曲线分析进行评估.
主要成果:
- 吸烟史,术后中性粒细胞计数,全身免疫炎症指数 (SII) 和SII,血小板-淋巴细胞比率 (PLR) 和中性粒细胞-血小板-单细胞/淋巴细胞比率 (AISI) 的变化是显著的预测因素.
- 柱状图模型表现出强大的预测性能,C指数为0.86 (训练) 和0.81 (验证).
- 该模型显示出与现有模型相比的优异校准和优异净收益.
结论:
- 开发了一种使用系统性炎症标志物用于NSCLC患者术后心肺并发症的验证预测模型.
- 该工具有助于临床医生精确评估风险,促进个性化患者管理,并可能减少并发症.
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