Role of endoscopy, cross-sectional imaging and biomarkers in Crohn's disease monitoring

医学 疾病 克罗恩病 钙蛋白酶 内窥镜检查 粪钙保护素 炎症性肠病 生物标志物 内科学 胃肠病学 重症监护医学 病理 生物化学 化学
作者
Jose-Manuel Benitez,Marie‐Alice Meuwis,Cathérine Reenaers,Catherine Van Kemseke,Paul Meunier,Édouard Louis
出处
期刊:Gut [BMJ]
卷期号:62 (12): 1806-1816 被引量:109
标识
DOI:10.1136/gutjnl-2012-303957
摘要

Crohn9s disease is characterised by recurrent and/or chronic inflammation of the gastrointestinal tract leading to cumulative intestinal tissue damage. Treatment tailoring to try to prevent this tissue damage as well as achieve optimal benefit/risk ratio over the whole disease course is becoming an important aspect of Crohn9s disease management. For decades, clinical symptoms have been the main trigger for diagnostic procedures and treatment strategy adaptations. However, the correlation between symptoms and intestinal lesions is only weak. Furthermore, preliminary evidence suggests that a state of remission beyond the simple control of clinical symptoms, and including mucosal healing, may be associated with better disease outcome. Therefore monitoring the disease through the use of endoscopy and cross-sectional imaging is proposed. However, the degree of mucosal or bowel wall healing that needs to be reached to improve disease outcome has not been appropriately studied. Furthermore, owing to their invasive nature and cost, endoscopy and cross-sectional imaging are not optimal tools for the patients or the payers. The use of biomarkers as surrogate markers of intestinal and systemic inflammation might help. Two biomarkers have been most broadly assessed in Crohn9s disease: C-reactive protein and faecal calprotectin. These markers correlate significantly with endoscopic lesions, with the risk of relapse and with response to therapy. They could be used to help make decisions about diagnostic procedures and treatment. In particular, with the use of appropriate threshold values, they could determine the need for endoscopic or medical imaging procedures to confirm the disease activity state.

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