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Published on 01 January 2023

Supplementary Material for: Optimal use of serum leucine-rich alpha-2 glycoprotein as a biomarker for small bowel lesions of Crohn's disease

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K., Asonuma;T., Kobayashi;N., Kikkawa;M., Nakano;S., Sagami;H., Morikubo;Y., Miyatani;A., Hojo;T., Fukuda;T., Hibi

Description

Introduction A large proportion of small bowel lesions in Crohn’s disease (CD) may exist beyond the reach of ileocolonoscopy and there is no gold standard imaging modality to screen them, suggesting the need for optimal biomarkers. We aimed to compare the usefulness of C-reactive protein (CRP), faecal calprotectin (FC), and leucine-rich alpha-2 glycoprotein (LRG) in determining small bowel lesions of CD. Methods This was a cross-sectional observational study. CRP, FC, and LRG were prospectively measured in patients with quiescent CD who underwent imaging examinations (capsule or balloon-assisted endoscopy, magnetic resonance enterography, or intestinal ultrasound) selected by the physician in clinical practice. Mucosal healing (MH) of the small bowel was defined as a lack of ulcers. Patients with a Crohn’s disease activity index > 150 and active colonic lesions were excluded. Results A total of 65 patients (27, MH; 38, small bowel inflammation) were analysed. The area under the curve (AUC) of CRP, FC, and LRG was 0.74 (95% confidence interval 0.61-0.87), 0.69 (0.52-0.81), and 0.77 (0.59-0.85), respectively. The AUC of FC and LRG in a subgroup of 61 patients with CRP < 3 mg/l (26, MH; 32, small bowel inflammation) was 0.68 (0.50-0.81), and 0.74 (0.54-0.84), respectively. The cut-off of 16 μg/ml of LRG showed the highest positive predictive value of 1.00 with specificity of 1.00 while negative predictive value was highest (0.71) with sensitivity of 0.89 at the cut-off of 9 μg/ml. Discussion/Conclusion LRG can accurately detect and/or exclude the small bowel lesions by two cut-off values.

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Metrics

Dataset Index

0.3

FAIR Score

85%

Citations

0

Mentions

0

Metrics Over Time

Publication Details

DOI

Publisher

Karger Publishers

Assigned Domain

Subfield

Pharmacology

Field

Pharmacology, Toxicology and Pharmaceutics

Domain

Life Sciences

Confidence Score

98%

Source

Open Alex

Keywords

Medicine

Normalization Factors

FT

13.46

CTw

1.00

MTw

1.00