通过机器学习算法建立的结直肠癌腹腔镜手术后压力的预测模型
Dong-Mei Yu1, Chun-Xiao Wu2, Jun-Yi Sun3
1School of Nursing, Hebei University of Traditional Chinese Medicine, Shijiazhuang 050000, Hebei Province, China.
World journal of gastrointestinal surgery
|October 30, 2023
概括
老年,淋巴结转移,高热冲击蛋白 (HSP70,HSP90) 和胃素 (GAS) 预测结直肠癌 (CRC) 手术后的压力 (SU). 一种名图模型可以准确地识别高风险患者.
科学领域:
- 胃肠病学 胃肠病学
- 手术瘤学手术瘤学
- 瘤外科手术 瘤外科手术
背景情况:
- 腹腔镜手术的结肠直肠癌 (CRC) 患者面临压力 (SU) 的风险.
- 识别SU风险因素对于改善CRC患者的治疗结果至关重要.
研究的目的:
- 在腹腔镜手术治疗结直肠癌 (CRC) 后,识别压力 (SU) 的危险因素.
- 开发一种名谱模型,用于预测这些患者的SU风险.
主要方法:
- 135名经过腹腔镜手术的CRC患者的临床数据的回顾性审查.
- 单变量和多变量逻辑回归分析以确定SU风险因素.
- 使用ROC曲线,校准曲线和Hosmer-Lemeshow测试开发和验证一个名ogram模型.
主要成果:
- 手术后苏联的发病率为17.04% (23/135名患者).
- 在SU组中观察到高水平的热冲击蛋白70 (HSP70),热冲击蛋白90 (HSP90) 和胃素 (GAS).
- 后勤回归确定65岁以上的年龄,淋巴结转移,以及增加的HSP70,HSP90和GAS水平作为SU的重要风险因素.
结论:
- 65岁以上的CRC患者,淋巴结转移,HSP70,HSP90和GAS水平升高的患者,风险更高,患上后显微镜后的SU.
- 开发的诺莫格拉姆模型表现出良好的预测价值,歧视,校准和稳定性,用于识别患有SU风险的患者.
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