在NAFLD和NASH中纤维化进展的连续时间马尔科夫链模型
Lyndsey F Meyer1, Cynthia J Musante1, Richard Allen1
1Pfizer Worldwide Research Development and Medical, Cambridge, MA, United States.
Frontiers in medicine
|June 16, 2023
概括
开发马尔科夫链模型显示,在F1或F2阶段的非酒精性胆固醇肝炎 (NASH) 纤维化早期干预为患者改善提供了最大的潜力,并有助于临床试验设计.
科学领域:
- 肝病学 肝病学是一种肝病学.
- 计算生物学 计算生物学
- 临床试验设计 临床试验设计
背景情况:
- 非酒精性脂肪性肝病 (NAFLD) 和非酒精性脂肪性肝炎 (NASH) 纤维化进展的途径,时间表和动态尚不清楚.
- 量化纤维化进展率和患者异质性对于理解NASH病变的产生至关重要.
- 目前,NASH纤维化和治疗的机制模型存在重大不确定性.
研究的目的:
- 开发一种机械模型,以捕捉NASH中的纤维化进展异质性.
- 通过纤维化阶段估计疾病进展时间表.
- 确定NASH纤维化治疗干预的最佳时间.
主要方法:
- 开发了一个连续时间的马尔科夫链模型来模拟纤维化进展.
- 利用七项临床研究的数据与配对肝活检来估计进展时间.
- 进行了敏感性分析,以评估早期治疗干预措施的影响.
主要成果:
- 该模型成功地捕获了纤维化进展中观察到的异质性.
- 在纤维化阶段 (F0-F4) 中估计的平均疾病进展时间 (F0-F4).
- 敏感性分析表明,在F1或F2纤维化阶段的干预可以最大限度地改善平均纤维化得分.
结论:
- 开发的马尔科夫链模型有助于理解NASH纤维化进展和异质性.
- 早期治疗干预 (F1/F2阶段) 对患者队列显示出最显著的潜在益处.
- 该模型可以为NAFLD/NASH临床试验的患者选择,治疗持续时间和终点确定提供信息.
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