开发治疗或干预 (ETI) 计算器的升级治疗或干预 (ETI) 计算器用于使用ePROMs的性结肠炎患者
Lawrence Matini1, Thomas P Chapman2, Ramona Kantschuster1
1Translational Gastroenterology Unit, Nuffield Department of Experimental Medicine, University of Oxford, Oxford, UK.
一个新的计算器使用患者报告的症状和生活质量数据预测性结肠炎 (UC) 治疗升级. 这个工具可以帮助简化UC患者的门诊预约.
科学领域:
- 胃肠病学 胃肠病学
- 数字健康数字健康
- 预测分析是一种预测分析.
背景情况:
- 对于性结肠炎 (UC) 随访的患者报告结果措施 (PROMs) 的数字收集尚未得到充分探索.
- 当前的后续策略可能会从预测模型中受益,以合理化护理.
研究的目的:
- 在UC患者中开发治疗升级或干预的预测模型.
- 通过识别需要升级护理的患者,创建一个简化门诊预约的工具.
主要方法:
- 使用TrueColours-IBD软件进行电子PROM (ePROM) 的纵向采集.
- 开发了一个后勤回归模型,使用患者报告的数据 (SCCAI,IBD Control-8) 和临床标记 (便calprotectin,血小板).
- 在单独的队列中验证了治疗或干预 (ETI) 的升级计算器.
主要成果:
- 确定了SCCAI,IBD Control-8,便calprotectin和血小板作为ETI的重要预测因素.
- 仅使用SCCAI和IBD Control-8的简化模型显示出高精度.
- 在验证队列中,ETI计算器正确识别了88%的升级和57%的非升级.
结论:
- 使用数字,患者输入的症状和生活质量数据的计算器可以预测UC患者治疗升级的必要性.
- 这种预测工具有可能优化门诊预约安排和UC管理的资源配置.
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