Optimal cut‐off value of fecal calprotectin for the evaluation of ulcerative colitis: An unsolved issue?

Autor: Jha, Ashish Kumar, Chaudhary, Madhur, Dayal, Vishwa Mohan, Kumar, Amarendra, Jha, Sanjeev Kumar, Jha, Praveen, Purkayastha, Shubham, Ranjan, Ravish
Jazyk: angličtina
Rok vydání: 2018
Předmět:
Zdroj: JGH Open: An Open Access Journal of Gastroenterology and Hepatology
ISSN: 2397-9070
Popis: Introduction There is variability in the fecal calprotectin (FCP) cut‐off level for the prediction of ulcerative colitis (UC) disease activity and differentiation from irritable bowel disease (IBS‐D). The FCP cut‐off levels vary from country to country. Aims We aimed to assess FCP as a marker of disease activity in patients with UC. We determined the optimal FCP cut‐off value for differentiating UC and IBS‐D. Methods In a prospective study, we enrolled 76 UC and 30 IBS‐D patients. We studied the correlation of FCP with disease activity/extent as well as its role in differentiating UC from IBS‐D. We also reviewed literature regarding the optimal FCP cut‐off level for the prediction of disease activity and differentiation from IBS‐D patients. Results Sensitivity, specificity, positive predictive value, and negative predictive value of FCP (cut‐off level, 158 μg/g) for the prediction of complete mucosal healing (using Mayo endoscopic subscore) were 90, 85, 94.7, and 73.3%, respectively. Sensitivity, specificity, positive predictive value, and negative predictive value of FCP (cut‐off level, 425 μg/g) for the prediction of inactive disease (Mayo Score ≤ 2) were 94.3, 88.7, 86.2, and 95.4%, respectively. We also found a FCP cut‐off value of 188 μg/g for the differentiation of UC from IBS‐D. Conclusions The study reveals the large quantitative differences in FCP cut‐off levels in different study populations. This study demonstrates a wide variation in FCP cut‐off levels in the initial diagnosis of UC as well as in follow‐up post‐treatment. Therefore, this test requires validation of the available test kits and finding of appropriate cut‐off levels for different study populations.
Databáze: OpenAIRE