在异常性肺纤维化患者的呼吸器相关住院治疗中进行判断的算法
Paul Ford1, Michael Kreuter2, Kevin K Brown3
1Galapagos NV, Mechelen, Belgium.
ERJ open research
|January 30, 2024
概括
一个新的算法在异常性肺纤维化 (IPF) 试验中标准化了与呼吸系统相关的住院治疗. 这提高了关键终点的一致性,在验证研究中显示了94%的一致性.
科学领域:
- 肺部医学 肺部医学
- 临床试验方法论 临床试验方法论
- 呼吸系统疾病 呼吸系统疾病
背景情况:
- 异形性肺纤维化 (IPF) 临床试验缺乏与呼吸相关的住院治疗的标准定义.
- 不同的原因和并发症使这些事件的准确分类变得复杂.
- 外部裁决有时用于标准化与呼吸相关的住院终点.
研究的目的:
- 在IPF临床试验中开发和验证一个算法来分类与呼吸相关的住院治疗.
- 作为临床试验终点,提高呼吸相关住院病人的一致性和实用性.
主要方法:
- 对IPF试验的文献审查确定了潜在的算法组件.
- 一个专家的共识完善了算法.
- 该算法使用ISABELA第三期试验 (NCT03711162,NCT03733444) 的数据进行了验证.
- 研究人员定义的和算法判断的住院住院之间进行了一致性评估.
主要成果:
- 该算法根据原因对住院病例进行分类:超体,其他,确定的IPF急性恶化 (AEIPF) 和疑似AEIPF.
- 根据已知触发因素 (已知AEIPF) 或缺乏触发因素 (异常AEIPF) 进一步分类AEIPF.
- 在ISABELA试验中的验证表明,调查人员和裁决委员会分类之间的一致性为94%.
结论:
- 开发的算法提供了一种标准化的方法,用于在IPF试验中报告与呼吸相关的住院治疗.
- 这种标准化对于优化这一共同临床终点的可靠性和可解释性至关重要.
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