The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Noninvasive Markers in the Assessment of Intestinal Inflammation in Inflammatory Bowel Diseases: Performance of Fecal Lactoferrin, Calprotectin, and PMN-Elastase, CRP, and Clinical Indices
Abstract
OBJECTIVES: The aim of this study was to compare the performance of fecal lactoferrin (Lf), calprotectin (Cal), polymorphonuclear neutrophil elastase (PMN-e), as well as serum C-reactive protein (CRP) in patients with inflammatory bowel diseases (IBD) to address (a) whether these markers can differentiate IBD patients with endoscopically assessed inflammation from IBD patients without inflammation and from irritable bowel syndrome (IBS); (b) whether they correlate with endoscopic severity of inflammation; and (c) whether a combination of fecal markers with the respective disease-specific activity indices may increase the diagnostic accuracy with reference to the endoscopic severity of inflammation. METHODS: Fecal levels of Lf, Cal, and PMN-e and serum CRP were assessed in 139 patients undergoing diagnostic ileocolonoscopy (54 IBS patients, 42 ulcerative colitis [UC], 43 Crohn's disease [CD]). Disease activity was determined for CU with the colitis activity index (CAI) and for CD with the Crohn's disease activity index (CDAI). The performance of each marker with reference to endoscopic inflammatory activity was assessed by computing correlations, and sensitivity and specificity using published as well as adjusted cutoffs. A comprehensive activity index was computed by combining results from fecal markers, serum CRP, and a clinical activity index. RESULTS: UC or CD patients with active inflammation demonstrated significantly higher levels of Lf, Cal, and PMN-e in feces as well as serum-CRP when compared to patients with inactive inflammation as well as patients with IBS (all P < 0.05). Using adjusted cutoffs enabled a marked improvement of all markers with an overall diagnostic accuracy in IBD of 80.0% for Lf, 80.0% for Cal, 74.1% for PMN-e, 64.0% for CRP, and 79.0% for the respective clinical disease scores. Cal showed the highest diagnostic accuracy in CD (81.4%), whereas Lf was superior to the other markers in UC (83.3%). The comprehensive activity index yielded a further improvement of sensitivity and specificity, with a diagnostic accuracy of 95.3% for UC patients. CONCLUSION: The fecal markers Lf, Cal, and PMN-e are able to differentiate active IBD from inactive IBD as well as from IBS. None of these three stool markers is consistently superior in its ability to reflect endoscopic inflammation, but all three are superior to CRP in their diagnostic accuracy. A combination of the stool markers with the CRP and a disease-specific activity index in a categorical comprehensive activity index can increase the diagnostic accuracy with reference to the endoscopic inflammation in UC.
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Functional bowel disorders and functional abdominal pain
Thompson, W. G., Longstreth, G. F., Drossman, D. A., Heaton, K. W., Irvine, E. J., & Müller-Lissner, S. A. (1999) · Gut · doi:10.1136/gut.45.2008.ii43 · Cited by 2,440
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ACG Clinical Guideline: Management of Irritable Bowel Syndrome
Lacy, B. E., Pimentel, M., Brenner, D. M., Chey, W. D., Keefer, L. A., Long, M. D., & Moshiree, B. (2021) · American Journal of Gastroenterology · doi:10.14309/ajg.0000000000001036 · Cited by 893
A prospective population-based study of triggers of symptomatic flares in IBD
Bernstein, C. N., Singh, S., Graff, L. A., Walker, J. R., Miller, N., & Cheang, M. (2010) · American Journal of Gastroenterology · doi:10.1038/ajg.2010.140 · Cited by 400
Transepithelial Migration of Neutrophils
Zemans, R. L., Colgan, S. P., & Downey, G. P. (2009) · American Journal of Respiratory Cell and Molecular Biology · doi:10.1165/rcmb.2008-0348tr · Cited by 339
Irritable bowel syndrome: A clinical review
Soares, R. L. (2014) · World Journal of Gastroenterology · doi:10.3748/wjg.v20.i34.12144 · Cited by 266
Methods to determine intestinal permeability and bacterial translocation during liver disease
Wang, L., Llorente, C., Hartmann, P., Yang, A.-M., Chen, P., & Schnabl, B. (2015) · Journal of Immunological Methods · doi:10.1016/j.jim.2014.12.015 · Cited by 257
Prevalence of anxiety and depression in patients with inflammatory bowel disease
Byrne, G., Rosenfeld, G., Leung, Y., Qian, H., Raudzus, J., Nunez, C., & Bressler, B. (2017) · Canadian Journal of Gastroenterology and Hepatology · doi:10.1155/2017/6496727 · Cited by 234
Vedolizumab treatment for immune checkpoint inhibitor-induced enterocolitis
Bergqvist, V., Hertervig, E., Gedeon, P., Kopljar, M., Griph, H., Kinhult, S., Carneiro, A., & Marsal, J. (2017) · Cancer Immunology Immunotherapy · doi:10.1007/s00262-017-1962-6 · Cited by 234
Biomarkers in inflammatory bowel disease: current practices and recent advances.
Iskandar, H. N., & Ciorba, M. A. (2012) · Translational Research · doi:10.1016/j.trsl.2012.01.001 · Cited by 210
“(85) S100A12 has a sensitivity and specificity of 86% and 96% in differentiating chronic IBD from IBS.”
BackgroundBerni Canani, R., Terrin, G., Rapacciuolo, L., Miele, E., Siani, M. C., Puzone, C., Cosenza, L., Staiano, A., & Troncone, R. (2008) · Digestive and Liver Disease · doi:10.1016/j.dld.2008.01.017 · Cited by 175
Ringel-Kulka, T., Palsson, O. S., Maier, D., Carroll, I., Galanko, J. A., Leyer, G., & Ringel, Y. (2011) · Journal of Clinical Gastroenterology · doi:10.1097/mcg.0b013e31820ca4d6 · Cited by 174
Langhorst, J., Junge, A., Rueffer, A., Wehkamp, J., Foell, D., Michalsen, A., Musial, F., & Dobos, G. J. (2009) · The American Journal of Gastroenterology · doi:10.1038/ajg.2008.86 · Cited by 167
Self-citationAlbers, R., Bourdet-Sicard, R., Braun, D., Calder, P. C., Herz, U., Lambert, C., Lenoir-Wijnkoop, I., Méheust, A., Ouwehand, A., Phothirath, P., et al. (2013) · British Journal of Nutrition · doi:10.1017/s0007114513001505 · Cited by 150
Manolakis, A. C., Kapsoritakis, A. N., Tiaka, E. K., & Potamianos, S. P. (2011) · Digestive Diseases and Sciences · doi:10.1007/s10620-010-1494-9 · Cited by 96
McCarville, J. L., Dong, J., Caminero, A., Bermudez-Brito, M., Jury, J., Murray, J. A., Duboux, S., Steinmann, M., Delley, M., Tangyu, M., et al. (2017) · Applied and Environmental Microbiology · doi:10.1128/aem.01323-17 · Cited by 71
Berrill, J. W., Gallacher, J., Hood, K., Green, J. T., Matthews, S. B., Campbell, A. K., & Smith, A. (2013) · Neurogastroenterology & Motility · doi:10.1111/nmo.12219 · Cited by 62
Stone, J. K., Shafer, L. A., Graff, L. A., Witges, K., Sexton, K., Lix, L. M., Haviva, C., Targownik, L. E., & Bernstein, C. N. (2022) · Journal of Psychosomatic Research · doi:10.1016/j.jpsychores.2022.110719 · Cited by 19
Metadata
- Authors
- Langhorst, J., Elsenbruch, S., Koelzer, J., Rueffer, A., Michalsen, A., & Dobos, G. J.
- Venue
- The American Journal of Gastroenterology
- Published
- 2008-01
- Volume
- 103
- Issue
- 1
- Pages
- 162-169
- ISSN
- 0002-9270 (ISSN-L)
- 1572-0241
- OpenAlex
- W2092895549
- Cited by
- 591
- References
- 1
- FWCI
- 15.91
- Type
- journal article
- Language
- en
- Open access
- closed
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