Artificial intelligence-driven strategies for managing renal and urinary complications in inflammatory bowel disease

人工智能驱动的策略在炎症性肠病肾脏和泌尿系统并发症管理中的应用

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Abstract

In this editorial, we discuss the article by Singh et al published in World Journal of Nephrology, stating the need for timely adjustments in inflammatory bowel disease (IBD) patients' long-term management plans. IBD is chronic and lifelong, with recurrence and remission cycles, including ulcerative colitis and Crohn's disease. It's exact etiology is unknown but likely multifactorial. Related to gut flora and immune issues. Besides intestinal symptoms, IBD can also affect various extraintestinal manifestations such as those involving the skin, joints, eyes and urinary system. The anatomical proximity of urinary system waste disposal to that of the alimentary canal makes early detection and the differentiation of such symptoms very difficult. Various studies show that IBD and it's first-line drugs have nephrotoxicity, impacting the patients' life quality. Existing guidelines give very few references for kidney lesion monitoring. Singh et al's plan aims to improve treatment management for IBD patients with glomerular filtration rate decline, specifically those at risk. Most of IBD patients are young and they need lifelong therapy. So early therapy cessation, taking into account drug side effects, can be helpful. Artificial intelligence-driven diagnosis and treatment has a big potential for management improvements in IBD and other chronic diseases.

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