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对血液病患者血小板输血疗效的影响因素的分析和预测模型的构建

Yu Zou¹, Tianhua Jiang¹, Yue Fan¹

¹Department of Blood Transfusion, Deyang People's Hospital, Deyang, China.

Frontiers in medicine

|August 25, 2025

概括

这项研究确定了血小板输血折射性 (PTR) 的关键风险因素,包括女性,频繁输血,大和抗生素使用. 一个经过验证的血谱模型有助于预测PTR和个性化输血策略.

科学领域:

血液学
输血医学
临床研究

背景情况:

血小板输血折射率 (PTR) 在血液病患者的管理中构成重大挑战.
确定独立的风险因素对于优化血小板输血策略至关重要.

研究的目的:

在血液病患者中系统分析PTR的独立风险因素.
为PTR开发和验证一个名ogram预测模型.
提供个性化血小板输血方案的证据.

主要方法:

在131名血液病患者中对363例血小板输血事件进行了回顾性队列研究.
单变量和多变量逻辑回归以确定独立的风险因素.
使用ROC曲线分析和重新采样的nomogram构建和验证.

主要成果:

PTR的发生率为30.85%.
确定了独立的风险因素:女性性别,输血频率≥10,大,抗生素使用.
开发的诺莫格拉姆模型显示出良好的预测性能 (AUC = 0. 673).

结论:

开发了一种有效的PTR预测模型,包括性别,输血频率,大和抗生素使用.
该模型证明了对优化个性化血小板输血方案的临床实用性.
该工具支持基于证据的输血管理决策.

关键词:

血液病患者一个名字血小板输血的折射性预测模型危险因素

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