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开发一种诊断算法,以确定使用临床指标和血清金属度的恶性多流液

Jinling Ji¹, Ting Shi², Lei Yan¹

¹Department of Medical laboratory, the Affiliated Huaian No.1 People's Hospital of Nanjing Medical University, Huaian, Jiangsu, China.

Frontiers in oncology

|June 28, 2024

概括

这项研究使用临床数据和血清金属离子开发了一个名录模型,以准确地识别癌症患者的恶性多流液 (MPE). 该模型有助于医生诊断MPE,改善患者治疗结果.

科学领域:

在瘤学瘤学.
肺部病理学肺部病理学
医学诊断医学诊断医学诊断

背景情况:

恶性流 (MPE) 是癌症患者常见的并发症,预示着晚期疾病和不良预后.
准确的临床识别MPE仍然是一个重大挑战,需要改进的诊断工具.
这项研究旨在开发一种新的基于名录的模型,用于使用临床指标和血清金属离子水平来识别MPE.

研究的目的:

建立一个创新的nomogram-derived模型,用于准确识别恶性多叶流血 (MPE).
将临床指标和血清金属离子水平纳入MPE的预测模型.
为医生提供一种可靠的工具来分类多溢出亚型.

主要方法:

在2020年7月至2022年5月期间,招募了428名肺溢 (PE) 患者的队列.
收集的数据包括人口统计,临床症状,成像,病理学和血清金属离子水平.
使用LASSO和多变量逻辑回归构建了一个名图,通过引导进行内部验证.

主要成果:

确定了七个关键预测因子:呼吸障碍,发烧,成像检测结果,多发性癌胚抗原 (pCEA),血清神经元特异性乙醇酶 (sNSE),血清癌胚抗原 (sCEA) 和多发性乳酸脱酶 (pLDH).
开发的诺莫格拉模型表现出高性能,AUC为0.940.
观察到血清金属离子水平发生显著变化:与良性流 (BPE) 患者相比,MPE患者的和铜含量较高,含量较低.

结论:

一个用户友好和可靠的nomogram模型,结合临床标记物和血清金属离子,已成功开发用于MPE识别.
这项研究强调了血清金属离子水平 (,铜,) 在区分MPE与BPE的临床实用性.
该模型为医生提供了有价值的支持,帮助医生准确诊断和管理患有恶性多叶流血的患者.

关键词:

这是一个指标指标指标.恶性多叶膜溢出恶性多叶膜溢出胸腔溢出胸腔溢出胸腔溢出胸腔溢出预后预后预后血清金属是血清金属的一种.

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