Prognostic modelling in IBD

IF 3.2 3区医学 Q2 GASTROENTEROLOGY & HEPATOLOGY

Best Practice & Research Clinical Gastroenterology Pub Date : 2023-12-01 DOI:10.1016/j.bpg.2023.101877

Peter Rimmer , Tariq Iqbal

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引用次数: 0

Abstract

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.

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IBD的预后模型

在理想情况下，任何慢性疾病的预后或病程预测将使临床医生能够预测病程，为患者提供关键信息和有关资源最佳利用的数据。预测还可以了解对治疗的可能反应以及导致任何个体患者停药的治疗不良反应的风险。因此，从疾病开始预测结果的能力是开发精准个性化医疗的关键步骤，这是基于仔细分析患者的医疗保健设计，以优化效率或治疗效益。本文概述了目前IBD疾病结果的可用预测因素，并展望了未来，这将涉及使用人工智能来询问来自各种重要“基因组”的大数据，以梳理出更全面的IBD方法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Best Practice & Research Clinical Gastroenterology 医学-胃肠肝病学

CiteScore

5.50

自引率

0.00%

发文量

审稿时长

69 days

期刊介绍： Each topic-based issue of Best Practice & Research Clinical Gastroenterology will provide a comprehensive review of current clinical practice and thinking within the specialty of gastroenterology.