摘要
In the ideal world prognostication or predicting disease course in any chronic condition would allow the clinician to anticipate disease behaviour, providing crucial information for the patient and data regarding best use of resources. Prognostication also allows an understanding of likely response to treatment and the risk of adverse effects of a treatment leading to withdrawal in any individual patient. Therefore, the ability to predict outcomes from the onset of disease is the key step to developing precision personalised medicine, which is the design of medical care to optimise efficiency or therapeutic benefit based on careful profiling of patients. An important corollary is to prevent unnecessary healthcare costs. This paper outlines currently available predictors of disease outcome in IBD and looks to the future which will involve the use of artificial intelligence to interrogate big data derived from various important ‘omes’ to tease out a more holistic approach to IBD.
摘要译文
在理想世界中，在任何慢性病中的预后或预测疾病病程都将使临床医生能够预测疾病行为，为患者提供关键信息以及有关资源最佳使用的数据。预后还可以理解可能对治疗的反应以及治疗不良影响的风险，导致任何患者退出。因此，从疾病发作中预测结果的能力是开发精确的个性化医学的关键步骤，这是根据仔细的患者分析，可以设计医疗服务来优化效率或治疗益处。一个重要的推论是防止不必要的医疗费用。本文概述了IBD中目前可用的疾病预后预测指标，并将展望未来，这将涉及使用人工智能来询问从各种重要的“ eme”中得出的大数据，以取消对IBD的整体方法。
Tariq Iqbal [a] [b] [1]. Prognostic modelling in IBD[J]. Best Practice & Research Clinical Gastroenterology, 2023,67: 101877