Literature DB >> 24969276

Can we predict the high-risk patient?

Jose-Manuel Benitez1, Edouard Louis.   

Abstract

BACKGROUND: While therapeutic strategies able to change the natural history of inflammatory bowel diseases (IBD) are being developed, factors predicting aggressive disease are needed to be able to choose the appropriate therapeutic strategy for the individual patient based on the risk/benefit ratio. The aim of this review is to focus on the tools assisting the clinician in routine practice regarding the prediction of disease evolution.
METHODS: A literature review was performed, which was mainly based on PubMed search, using the following terms: Crohn's disease, ulcerative colitis, inflammatory bowel disease, genetics, serology, biomarkers, endoscopy, C-reactive protein, faecal calprotectin, disease evolution and complications.
RESULTS: For the prediction of disease evolution, clinical characteristics, particularly disease location and behaviour, are probably currently the most useful. In addition, a series of biomarkers, including genetic, serological and inflammatory markers, as well as characteristics of endoscopic lesions may have an added value.
CONCLUSIONS: Simple clinical, biological and endoscopic tools may help the clinician in predicting disease evolution in IBD. However, these tools are still insufficient, and prospective evaluation of new genetic and biological markers are needed.
© 2014 S. Karger AG, Basel.

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Year:  2014        PMID: 24969276     DOI: 10.1159/000358132

Source DB:  PubMed          Journal:  Dig Dis        ISSN: 0257-2753            Impact factor:   2.404


  6 in total

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Authors:  Dana Rachel Berg; Jean-Frederic Colombel; Ryan Ungaro
Journal:  Inflamm Bowel Dis       Date:  2019-11-14       Impact factor: 5.325

2.  Treat to Target in Inflammatory Bowel Disease.

Authors:  Peter Bossuyt; Séverine Vermeire
Journal:  Curr Treat Options Gastroenterol       Date:  2016-03

Review 3.  An Update on Current Pharmacotherapeutic Options for the Treatment of Ulcerative Colitis.

Authors:  Francesca Ferretti; Rosanna Cannatelli; Maria Camilla Monico; Giovanni Maconi; Sandro Ardizzone
Journal:  J Clin Med       Date:  2022-04-20       Impact factor: 4.964

4.  Predicting the Individual Risk of Acute Severe Colitis at Diagnosis.

Authors:  Monica Cesarini; Gary S Collins; Anders Rönnblom; Antonieta Santos; Lai Mun Wang; Daniel Sjöberg; Miles Parkes; Satish Keshav; Simon P L Travis
Journal:  J Crohns Colitis       Date:  2017-03-01       Impact factor: 9.071

5.  Prognostic value of assessment of stool and serum IL-1β, IL-1ra and IL-6 concentrations in children with active and inactive ulcerative colitis.

Authors:  Andrzej Wędrychowicz; Przemysław Tomasik; Andrzej Zając; Krzysztof Fyderek
Journal:  Arch Med Sci       Date:  2017-06-30       Impact factor: 3.318

6.  Development of Clinical Prediction Models for Surgery and Complications in Crohn's Disease.

Authors:  Leonardo Guizzetti; Guangyong Zou; Reena Khanna; Parambir S Dulai; William J Sandborn; Vipul Jairath; Brian G Feagan
Journal:  J Crohns Colitis       Date:  2018-01-24       Impact factor: 9.071

  6 in total

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