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S3 File - Analysis of aPTT predictors after unfractionated heparin administration in intensive care units using machine learning models

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Figshare2025-07-21 更新2026-04-28 收录
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S4 Table: Patient characteristics in the study population for first heparin infusion (A) and multiple infusions (B) at each facility. S5 Table: Patient characteristics across three classes of baseline aPTT for first heparin infusion (A) and multiple infusions (B). S6 Table: Patient characteristics across three classes of target aPTT for first heparin infusion (A) and multiple infusions (B). S7 Table: Predictive performance of aPTT in each class for first heparin infusion. S8 Table: Predictive performance of aPTT in each class for first heparin infusion (A) and multiple infusions (B). S9 Table: Predictive performance of aPTT for multiple heparin infusions. (XLSX)

S4 表:各研究中心内首次肝素输注(A)与多次肝素输注(B)的研究人群患者特征。S5 表:首次肝素输注(A)与多次肝素输注(B)中,按基线活化部分凝血活酶时间(activated partial thromboplastin time, aPTT)三个类别分组的患者特征。S6 表:首次肝素输注(A)与多次肝素输注(B)中,按靶标活化部分凝血活酶时间(aPTT)三个类别分组的患者特征。S7 表:首次肝素输注场景下各分组中aPTT的预测性能。S8 表:首次肝素输注(A)与多次肝素输注(B)各分组中aPTT的预测性能。S9 表:多次肝素输注场景下aPTT的预测性能。数据集文件格式为XLSX。

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2025-07-21
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