| Literature DB >> 29404311 |
Bianca J Galgut1, Daniel A Lemberg1,2, Andrew S Day3, Steven T Leach1.
Abstract
The inflammatory bowel diseases (IBDs) are lifelong chronic illnesses that place an immense burden on patients. The primary aim of therapy is to reduce disease burden and prevent relapse. However, the occurrence of relapses is often unpredictable. Current disease monitoring is primarily by way of clinical indices, with relapses often only recognized once the inflammatory episode is established with subsequent symptoms and gut damage. The window between initial upregulation of the inflammatory response and the recognition of symptoms may provide an opportunity to prevent the relapse and associated morbidity. This review will describe the existing literature surrounding predictive indicators of relapse of IBD with a specific focus on fecal biomarkers. Fecal biomarkers offer promise as a convenient, non-invasive, low cost option for disease monitoring that is predictive of subsequent relapse. To exploit the potential of fecal biomarkers in this role, further research is now required. This research needs to assess multiple fecal markers in context with demographics, disease phenotype, genetics, and intestinal microbiome composition, to build disease behavior models that can provide the clinician with sufficient confidence to intervene and change the long-term disease course.Entities:
Keywords: S100A12; calprotectin; fecal marker; inflammatory bowel diseases; lactoferrin; prognosis
Year: 2018 PMID: 29404311 PMCID: PMC5780398 DOI: 10.3389/fped.2017.00292
Source DB: PubMed Journal: Front Pediatr ISSN: 2296-2360 Impact factor: 3.418
Fecal calprotectin in predicting inflammatory bowel disease (IBD) relapse.
| Reference | Cohort | Sensitivity (%) | Specificity (%) | Cutoff | Remission duration at entry (month) | Study end point |
|---|---|---|---|---|---|---|
| Tibble et al. ( | 80 (IBD) | 90 | 83 | 50 mg/L | 1–4 | 12 |
| Costa et al. ( | 38 (CD) | 87 | 43 | 150 μg/g | 1–12 | 12 |
| 41 (UC) | 89 | 82 | ||||
| D’Inca et al. ( | 65 (CD) | 65 | 62 | 130 mg/kg | 3–36 | |
| 97 (UC) | 70 | 70 | ||||
| Gisbert et al. ( | 163 (IBD) | 100 | 70 | 167 μg/g | 6 | 3 |
| 69 | 75 | 12 | ||||
| 89 (CD) | 69 | 76 | 169 μg/g | 12 | ||
| 74 (UC) | 69 | 74 | 164 μg/g | 12 | ||
| Kallel et al. ( | 53 (CD) | 80 | 91 | 340 μg/g | >3 | 12 |
| Garcia-Sanchez et al. ( | 135 (IBD) | 80 | 60 | 120 μg/g | >3 | 12 |
| Sipponen and Kolho ( | 72 (IBD) | 32 | 80 | 82 μg/g | >3 | 12 |
| 38 | 72 | 108.5 μg/g | ||||
| 83 | 24 | 1,005 μg/g | ||||
| Naismith et al. ( | 92 (CD) | 80 | 75 | 240 μg/g | Not specified | 12 |
CD, Crohn’s disease; UC, ulcerative colitis.