| Autor: |
Gionata Fiorino, Silvio Danese, Laurent Peyrin‐Biroulet, Miquel Sans, Fabrizio Bonelli, Mariella Calleri, Claudia Zierold, Roberta Pollastro, Fabio Moretti, Alberto Malesci |
| Rok vydání: |
2022 |
| Předmět: |
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| Zdroj: |
United European gastroenterology journal. 10(8) |
| ISSN: |
2050-6414 |
| Popis: |
Fecal calprotectin (FC) is established as a diagnostic marker to differentiate between inflammatory bowel diseases and non-inflammatory conditions. Furthermore, it may be effective in monitoring response to treatment, and to predict relapse during maintenance therapy.This was a prospective longitudinal study carried out in Italy, France and Spain. The primary objective was to correlate the LIAISONsup®/supCalprotectin assay measurements to quiescent ulcerative colitis (UC) or relapse as assessed by clinical data. Patients were assessed every 3 months for 12 months, and at 18 months.The last FC measured prior to relapse was the variable that predicted relapse in a statistically significant manner. With a 62.3 μg/g cut-off the area under the curve was 0.619, and the sensitivity was 62.9% (95% Confidence Interval [CI] 44.9%-78.5%) and specificity 63.0% (95% CI 53.1%-72.1%). Using machine learning methods, the last FC measurement was shown to have the largest impact in predicting relapse. An algorithm was developed that included other variables available following a clinician's visit, which resulted in an area under the curve of 0.754 for predicting relapse.In the present study FC measured by the LIAISONsup®/supCalprotectin assay on the visit before relapse is predictive of relapse in patients with quiescent UC. In a proof of concept, the accuracy of prediction can further be improved including other variables in an algorithm developed by machine learning.The trial is registered at clinicaltrials.gov with reference number NCT05168917. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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