开发和验证基于血液常规程度和严重程度的性结肠炎临床决策支持工具
Hongliang Chen1, Xindi Lin2, Xinyue Pan3
1Department of Gastroenterology and Hepatology, The Second Affiliated Hospital of Harbin Medical University, 246 Xuefu Road, Nangang District, Harbin, 150086, Heilongjiang, China.
一种新的血液测试模型,金的模型,有效地评估性结肠炎 (UC) 的程度和严重程度. 这种非侵入性工具为UC患者的随访提供了方便和有效的方法.
科学领域:
- 胃肠病学和肝病学
- 临床决策支持系统 临床决策支持系统
- 生物标志物发现发现
背景情况:
- 监测性结肠炎 (UC) 的程度和严重程度对于患者管理至关重要.
- 目前对UC的评估方法通常是复杂的,缺乏成本效益.
- 需要可访问的,非侵入性的工具来帮助UC的后续.
研究的目的:
- 开发和验证一个常规的基于血液的临床决策支持工具,金的模型.
- 调查模型评估性结肠炎的程度和严重程度的能力.
- 为UC监控提供一个成本效益高,方便的替代方案.
主要方法:
- 一个多中心的回顾性队列研究,涉及975名成年UC住院患者.
- 对UC的范围 (蒙特利尔分类) 和严重程度 (Mayo分数,TWS,MES,DUBLIN分数) 开发后勤回归模型.
- 使用培训,内部和外部验证集的模型验证.
主要成果:
- 扩展模型的AUROC为0.78 (左侧) 和0.81 (扩展与直肠炎).
- 严重性模型显示AUROC为0.81 (梅奥得分),0.70 (TWS),0.74 (MES) 和0.70 (都柏林得分).
- 模型表现出令人满意的校准和临床实用性.
结论:
- 金的模型是一种非侵入性,方便和高效的基于血液的工具,用于评估UC的范围和严重程度.
- 该模型显示了作为UC随访的有价值的临床决策支持系统的潜力.
- 金的模型是免费的在线用于临床使用.
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