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从峰值流动轨迹中提取的适用预测因素,用于预测喘恶化

Yichi Yang1, Hirokazu Kimura2, Isao Yokota1

  • 1Department of Biostatistics, Graduate School of Medicine, Hokkaido University, Sapporo, Japan.

Annals of allergy, asthma & immunology : official publication of the American College of Allergy, Asthma, & Immunology
|November 25, 2023
PubMed
概括

来自高峰呼气流 (PEF) 的新预测指标显示,预测喘恶化是有前途的. 德尔塔PEF移动平均 (ΔMA) 和其调整形式 (%ΔMA) 在重症喘监测的多变量模型中显示出高准确性.

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