测量患有肝硬化患者个体累积发病率的疾病负担
Mitchell Paukner1, Daniela P Ladner2,
1Department of Biostatistics and Data Science, Wake Forest University School of Medicine, Winston-Salem, 27101, NC, USA.
Journal of biomedical informatics
|August 2, 2025
概括
一种新的疾病负担得分 (DBS) 方法使用患者健康事件数据来跟踪疾病进展. 这种经过验证的方法有助于比较患者子组并评估生活质量,即使没有可靠的死亡数据.
科学领域:
- 生物统计学 生物统计学
- 医疗信息学 医疗信息学
- 临床流行病学临床流行病学
背景情况:
- 评估患者的病史往往依赖于不完整或不可靠的数据.
- 评估疾病进展和生活质量需要强大的方法来分析反复发生的健康事件.
研究的目的:
- 引入一种新的方法来评估患者的病史,使用多种类型的复发事件数据.
- 开发一种工具,以帮助评估疾病进展和生活质量.
主要方法:
- 疾病负担得分 (DBS) 计算为疾病负担曲线 (DBC) 下的面积.
- DBC是一种逐步图表,在患者随访期间测量加权或未加权的复发性健康事件.
- 该方法适应各种事件类型,如心血管或脱补偿事件.
主要成果:
- 模拟研究证实,DBS方法产生了公正的结果.
- 与生物医学环境中的替代方案相比,该方法显示了更好的统计能力.
- 该DBS方法已成功应用于现实世界的电子健康记录数据.
结论:
- 疾病负担得分可以为所有患者计算,从而可以进行子组比较.
- 在回归分析中,DBS可以作为一个有价值的结果变量.
- 当死亡数据不可用或不可靠时,或作为临时指标时,这种测量特别有用.
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