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为低体重指数的阿司匹林使用者开发和验证一种新的出血风险预测工具

Lu Yifang¹, Lei Wanlin², Wang Maofeng³

¹Department of Medical Oncology, Affiliated Dongyang Hospital, Wenzhou Medical University, Dongyang, 322100, Zhejiang, China.

Scientific reports

|February 7, 2025

概括

在低体重指数 (BMI) 患者中使用阿司匹林会带来出血风险. 这项研究开发了一种使用六个临床变量来预测这些个体出血风险的新型名图表工具.

科学领域:

心脏病学心脏病学
药理学药理学是指药理学的学科.
医疗信息学医疗信息学

背景情况:

阿司匹林被广泛用于疾病管理和预防.
低体重指数 (BMI) 增加了阿司匹林相关的出血风险.
平衡阿司匹林的益处和出血风险至关重要.

研究的目的:

为低BMI的阿司匹林使用者开发一种新的出血风险预测工具.
在这个人群中确定与阿司匹林诱导出血相关的关键临床因素.

主要方法:

对2436名低BMI阿司匹林使用者的回顾性研究.
使用最小绝对收缩和选择操作员 (LASSO) 和博鲁塔分析来进行特征选择.
开发了一个物流回归模型,以名图形式呈现,内部验证.

主要成果:

博鲁塔分析发现了六个重要的预测因素:血红蛋白,血小板计数,以前的出血,瘤,吸烟和糖尿病.
开发的名图表表现出了优异的区分性能,AUC为0.832 (训练) 和0.775 (测试).
校准曲线和决策曲线分析证实了该模型的临床效用和净益.

结论:

一种新的,经过验证的诺米图有效预测低BMI阿司匹林使用者的出血风险.
这种工具有助于分层患者,优化阿司匹林治疗在这个弱势群体.

关键词:

阿司匹林是一种阿司匹林.流血出血流血出血这个名字叫做Nomogram.预测模型是一个预测模型.体重不足是因为体重不足.

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