开发和验证一个预测模型,用于克罗恩病的内镜改善
Hua-Gang Wang1, Cang-La Nima1, Qi Zhou2
1Department of Gastroenterology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei Province, China.
专蛋白和纤维素水平的变化预测了克罗恩氏病的内镜改善.
科学领域:
- 胃肠病学和肝病学
- 炎症性肠道疾病研究研究
- 生物标志物发现发现
背景情况:
- 目前缺乏评估内镜活动变化的非侵入性指标,在克罗恩病 (CD) 患者的访问之间.
- 需要客观标志物来监测CD的治疗反应和疾病进展.
研究的目的:
- 开发和验证一个预测模型,用于在克罗恩病患者内镜改善.
- 确定非侵入性指标,以评估内镜活动的变化.
主要方法:
- 回顾性单中心研究 (2014年1月 - 2024年3月) 与培训,内部和外部验证队列.
- 利用单变量和二进制物流回归来识别独立的风险因素.
- 构建了一个名ogram模型并使用ROC曲线,校准曲线和决策曲线分析 (DCA) 评估其性能.
主要成果:
- 专蛋白 (ALB) 和纤维素素 (FIB) 幅度的变化被确定为内镜改善的独立预测因素.
- 开发的诺莫格拉姆模型在训练 (AUC 0.802) 和验证组 (AUC ~ 0.787) 中表现出强大的预测性能.
- 模型显示了良好的校准 (平均绝对误差~0.011-0.018) 和通过DCA的临床实用性,具有强大的灵敏度分析.
结论:
- 在ALB和FIB幅度的变化作为有效的,非侵入性预测器,用于克罗恩病患者内镜改善.
- 开发的诺莫格拉姆模型提供了一个可靠的工具,用于监测疾病活动和治疗响应在CD后续.
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