Abstract
Crohn’s disease (CD) is a chronic inflammatory disorder which can lead to progressive intestinal damage and debilitating complications over time. Therefore, obtaining an accurate assessment of disease activity is paramount for risk-stratifying patients and initiating or escalating therapy when appropriate. Within the classic management paradigm, treatment decisions have been largely predicated on patient-reported symptoms. However, more recent evidence suggests that the correlation between clinical symptoms and endoscopically active disease is poor. A significant proportion of patients in clinical remission will have unrecognized active disease; conversely, many patients with mucosal healing will continue to have symptoms. This disconnect highlights the fact that focusing solely on clinical remission will inevitably lead to either undertreating those with clinically silent disease or overtreating those with symptoms unrelated to their CD.
Therefore, in addition to assessing clinical symptoms, there is a need to incorporate more objective markers of disease activity into the management of CD. In the pursuit of providing such information, a number of tools have been assessed in their ability to risk stratify patients, predict active disease, assess risk of relapse or recurrence, and monitor response to therapy. These include serologic, fecal, radiographic, and endoscopic modalities. When used in concert with clinical symptoms, they provide a more detailed and accurate assessment of overall disease activity, in turn allowing for more informed therapeutic decision-making.
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References
Jones J, Loftus EV, Panaccione R, et al. Relationships between disease activity and serum and fecal biomarkers in patients with Crohn’s disease. Clin Gastroenterol Hepatol. 2008;6(11):1218–24.
Peyrin-Biroulet L, Reinisch W, Colombel J-F, et al. Clinical disease activity, C-reactive protein normalisation and mucosal healing in Crohn’s disease in the SONIC trial. Gut. 2013;63(1):88–95.
Frøslie KF, Jahnsen J, Moum BA, et al. Mucosal healing in inflammatory bowel disease: results from a Norwegian population-based cohort. Gastroenterology. 2007;133(2):412–22.
Baert F, Moortgat L, Van Assche G, et al. Mucosal healing predicts sustained clinical remission in patients with early-stage Crohn’s disease. Gastroenterology. 2010;138(2):463–8.
Schnitzler F, Fidder H, Ferrante M, et al. Mucosal healing predicts long-term outcome of maintenance therapy with infliximab in Crohn’s disease. Inflamm Bowel Dis. 2009;15(9):1295–301.
Panaccione R, Colombel J-F, Louis E, et al. Evolving definitions of remission in Crohn’s disease. Inflamm Bowel Dis. 2013;19(8):1645–53.
Levesque BG, Sandborn WJ, Ruel J, et al. Converging goals of treatment and inflammatory bowel disease from clinical trials and practice. Gastroenterology. 2015;148(1):37–51.e1.
Solem CA, Loftus EV, Tremaine WJ, et al. Correlation of C-reactive protein (CRP) with clinical, radiographic, and endoscopic activity in inflammatory bowel disease (IBD). Inflamm Bowel Dis. 2005;11(8):707–12.
Chamouard P, Richert Z, Meyer N, et al. Diagnostic value of C-reactive protein for predicting activity level of Crohn’s disease. Clin Gastroenterol Hepatol. 2006;4(7):882–7.
Jürgens M, Machachie J, Cleynen I, et al. Levels of C-reactive protein are associated with response to infliximab therapy in patients with Crohn’s disease. Clin Gastroenterol Hepatol. 2011;9(5):421–427.e1.
Colombel JF, Sandborn WJ, Reinsch W, et al. Infliximab, azathioprine, or combination therapy for Crohn’s disease. N Engl J Med. 2010;362(15):1383–95.
Louis E, Vermeire S, Rutgeerts P, et al. A positive response to infliximab in Crohn disease: association with a higher systemic inflammation before treatment but not with -308 TNF gene polymorphism. Scand J Gastroenterol. 2002;37(7):818–24.
Kiss LS, Papp M, Lovasz BD, et al. High-sensitivity C-reactive protein for identification of disease phenotype, active disease, and clinical relapses in Crohn’s disease: a marker for patient classification? Inflamm Bowel Dis. 2012;18(9):1647–54.
Koelewijn CL, Schwartz MP, Samsom M, et al. C-reactive protein levels during a relapse of Crohn’s disease are associated with the clinical course of the disease. World J Gastroenterol. 2008;14(1):85–9.
Oh K, Oh EH, Baek S, et al. Elevated C-reactive protein level during clinical remission can predict poor outcomes in patients with Crohn’s disease. PLoS One. 2017;12(6):e0179266.
Henriksen M, Jahnsen J, Lygren I, et al. C-reactive protein: a predictive factor and marker of inflammation in inflammatory bowel disease. Results from a prospective population-based study. Gut. 2008;57(11):1518–23.
Yang DH, Yang SK, Park SH, et al. Usefulness of C-reactive protein as a disease activity marker in Crohn’s disease according to the location of disease. Gut Liver. 2015;9(1):80–6.
Kwon JH, Im JP, Ye BD, et al. Disease phenotype, activity and clinical course prediction based on C-reactive protein levels at diagnosis in patients with Crohn’s disease: results from the CONNECT Study. Gut Liver. 2016;10(4):595–603.
Regueiro M, Kip KE, Schraut W, et al. Crohn’s disease activity index does not correlate with endoscopic recurrence one year after ileocolonic resection. Inflamm Bowel Dis. 2011;17:118–26.
Brull DJ, Serrano N, Zito F, et al. Human CRP gene polymorphism influences CRP levels: implications for the prediction and pathogenesis of coronary heart disease. Arterioscler Thromb Vasc Biol. 2003;23(11):2063–9.
Kovacs A, Green F, Hansson LO, et al. A novel common single nucleotide polymorphism in the promoter region of the C-reactive protein gene associated with the plasma concentration of C-reactive protein. Atherosclerosis. 2005;178:193–8.
Florin TH, Paterson EW, Fowler EV, et al. Clinically active Crohn’s disease in the presence of a low C-reactive protein. Scand J Gastroenterol. 2006;41(3):306–11.
Schoepfer AM, Beglinger C, Straumann A, et al. Fecal calprotectin correlates more closely with the simple endoscopic score for Crohn’s disease (SES-CD) than CRP, blood leukocytes, and the CDAI. Am J Gastroenterol. 2010;105(1):162–9.
Sipponen T, Savilahti E, Kolho KL, et al. Crohn’s disease activity assessed by fecal calprotectin and lactoferrin: correlation with Crohn’s disease activity index and endoscopic findings. Inflamm Bowel Dis. 2008;14(1):40–6.
Lewis JD. The utility of biomarkers in the diagnosis and therapy of inflammatory bowel disease. Gastroenterology. 2011;140(6):1817–26.
Sipponen T, Bjorkesten CG, Farkkila M, et al. Faecal calprotectin and lactoferrin are reliable surrogate markers of endoscopic response during Crohn’s disease treatment. Scand J Gastroenterol. 2010;45:325–31.
De Suray N, Salleron J, Vernier-Massouille G, et al. Close monitoring of CRP and fecal calprotectin levels to predict relapse in Crohn’s disease patients. A sub-analysis of the STORI study. J Crohns Colitis. 2012;6(1):P274.
Costa F, Mumolo MG, Caccarelli L, et al. Calprotectin is a stronger predictive marker of relapse in ulcerative colitis than in Crohn’s disease. Gut. 2005;54(3):363–8.
D’Inca R, Dal Pont E, Di Leo V, et al. Can calprotectin predict relapse risk in inflammatory bowel disease? Am J Gastroenterol. 2008;103(8):2007–14.
Laharie D, Mesli S, El Hajbi F, et al. Prediction of Crohn’s disease relapse with faecal calprotectin in infliximab responders: a prospective study. Aliment Pharmacol Ther. 2011;34(4):462–9.
Garcia-Sanchez V, Iglesias-Flores E, Gonzalez R, et al. Does fecal calprotectin predict relapse in patients with Crohn’s disease and ulcerative colitis? J Crohns Colitis. 2010;4(2):144–52.
Tibble JA, Sigthorsson G, Bridger S, et al. Surrogate markers of intestinal inflammation are predictive of relapse in patients with inflammatory bowel disease. Gastroenterology. 2000;119(1):15–22.
Jensen MD, Kjeldsen J, Nathan T. Fecal calprotectin is equally sensitive in Crohn’s disease affecting the small bowel and colon. Scand J Gastroenterol. 2011;46(6):694–700.
Harranz Bachiller MT, Barrio Andres J, Fernandez Salazar L, et al. The utility of faecal calprotectin to predict post-operative recurrence in Crohn’s disease. Scand J Gastroenterol. 2016;51(6):720–6.
Orlando A, Modesto I, Castiglione P, et al. The role of calprotectin in predicting endoscopic post-surgical recurrence in asymptomatic Crohn’s disease: a comparison with ultrasound. Eur Rev Med Pharmacol Sci. 2006;10(1):17–22.
Samuel S, Bruining DH, Loftus EV, et al. Endoscopic skipping of the distal terminal ileum in Crohn’s disease can lead to negative results from ileocolonoscopy. Clin Gastroenterol Hepatol. 2012;10(11):1253–9.
Solem CA, Loftus EV, Fletcher JG, et al. Small-bowel imaging in Crohn’s disease: a prospective, blinded, 4-way comparison trial. Gastrointest Endosc. 2008;68(2):255–66.
Siddiki HA, Fidler JL, Fletcher JG, et al. Prospective comparison of state-of-the-art MR enterography and CT enterography in small-bowel Crohn’s disease. AJR Am J Roentgenol. 2009;193(1):113–21.
Deepak P, Fletcher JG, Fidler JL, et al. Radiological response is associated with better long-term outcomes and is a potential treatment target in patients with small bowel Crohn’s disease. Am J Gastroenterol. 2016;111(7):997–1006.
Rimola J, Rodriguez S, García-Bosch O, et al. Magnetic resonance for assessment of disease activity and severity in ileocolonic Crohn’s disease. Gut. 2009;58(8):1113–20.
Rimola J, Ordas I, Rodriguez S, et al. Magnetic resonance imaging for evaluation of Crohn’s disease: validation of parameters of severity and quantitative index of activity. Inflamm Bowel Dis. 2011;17(8):1759–68.
Steward MJ, Punwani S, Proctor I, et al. Non-perforating small bowel Crohn’s disease assessed by MRI enterography: derivation and histopathological validation of an MR-based activity index. Eur J Radiol. 2012;81(9):2080–8.
Deepak P, Fletcher JG, Fidler JL, et al. Computed tomography and magnetic resonance enterography in Crohn’s disease: assessment of radiologic criteria and endpoints for clinical practice and trials. Inflamm Bowel Dis. 2016;22(9):2280–8.
Makanyanga JC, Pendsé D, Dikaios N, et al. Evaluation of Crohn’s disease activity: initial validation of a magnetic resonance enterography global score (MEGS) against fecal calprotectin. Eur Radiol. 2014;24(2):277–87.
Takenaka K, Ohtsuka K, Kitazume Y, et al. Correlation of the endoscopic and magnetic resonance scoring systems in the deep small intestine in Crohn’s disease. Inflamm Bowel Dis. 2015;21:1832–8.
Albert JG, Martiny F, Krummenerl A, et al. Diagnosis of small bowel Crohn’s disease: a prospective comparison of capsule endoscopy with magnetic resonance imaging and fluoroscopic enteroclysis. Gut. 2005;54(12):1721–7.
Bocker U, Dinter D, Litterer C, et al. Comparison of magnetic resonance imaging and video capsule enteroscopy in diagnosing small-bowel pathology: localization-dependent diagnostic yield. Scand J Gastroenterol. 2010;45(4):490–500.
Prezzi D, Bhatnagar G, Vega R, et al. Monitoring Crohn’s disease during anti-TNF-α therapy: validation of the magnetic resonance enterography global score (MEGS) against a combined clinical reference standard. Eur Radiol. 2016;26(7):2107–17.
Buisson A, Joubert A, Montoriol PF, et al. Diffusion-weighted magnetic resonance imaging for detecting and assessing ileal inflammation in Crohn’s disease. Aliment Pharmacol Ther. 2013;37(5):537–45.
Hordonneau D, Buisson A, Scanzi J, et al. Diffusion-weighted magnetic resonance imaging in ileocolonic Crohn’s disease: validation of quantitative index of activity. Am J Gastroenterol. 2014;109:89–98.
Bodily KD, Fletcher JG, Solem CA, et al. Crohn disease: mural attenuation and thickness at contrast-enhanced CT enterography – correlation with endoscopic and histologic findings of inflammation. Radiology. 2006;238(2):505–16.
Booya F, Fletcher JG, Huprich JE, et al. Active Crohn disease: CT findings and interobserver agreement for enteric phase CT enterography. Radiology. 2006;241(3):787–95.
Bruining DH, Loftus EV, Ehman EC, et al. Computed tomography enterography detects intestinal wall changes and effects of treatment in patients with Crohn’s disease. Clin Gastroenterol Hepatol. 2011;9(8):679–83.
Faubion WA, Fletcher JG, O’Byrne S, et al. EMerging BiomARKers in Inflammation Bowel Disease (EMBARK) study identifies fecal calprotectin, serum MMP9, and serum IL-22 as a novel combination of biomarkers for Crohn’s disease activity: role of cross-sectional imaging. Am J Gastroenterol. 2013;108(12):1981–00.
Bruining DH, Siddiki HA, Fletcher JG, et al. Benefit of computed tomography enterography in Crohn’s disease: effects on patient management and physician level of confidence. Inflamm Bowel Dis. 2012;18(2):219–25.
Siddiki H, Fletcher JG, Hara AK, et al. Validation of a lower radiation computed tomography enterography imaging protocol to detect Crohn’s disease in the small bowel. Inflamm Bowel Dis. 2011;17(3):778–86.
Calabrese E, Maaser C, Zorzi F, et al. Bowel ultrasonography in the management of Crohn’s disease. A review with recommendations of an international panel of experts. Inflamm Bowel Dis. 2016;22(5):1168–83.
Lu C, Gui X, Chen W, et al. Ultrasound shear wave elastography and contrast enhancement: effective biomarkers in Crohn’s disease strictures. Inflamm Bowel Dis. 2017;23(3):421–30.
Stidham RW, Xu J, Johnson LA, et al. Ultrasound elasticity imaging for detecting intestinal fibrosis and inflammation in rats and humans with Crohn’s disease. Gastroenterology. 2011;141(3):819–26.
Deepak P, Kolbe AB, Fidler JL, et al. Update on magnetic resonance imaging and ultrasound evaluation of Crohn’s disease. Gastroenterol Hepatol. 2016;12(4):226–36.
Serafin Z, Bialecki M, Bialecka A, et al. Contrast-enhanced ultrasound for detection of Crohn’s disease activity: systematic review and meta-analysis. J Crohns Colitis. 2016;10(3):354–62.
Mary JY, Modigliani R. Development and validation of an endoscopic index of the severity for Crohn’s disease: a prospective multicentre study. Groupe d’Etudes Therapeutiques des affections Inflammatoires du tube Digestif (GETAID). Gut. 1989;30(7):983–9.
Daperno M, D’Haens G, Van Assche G, et al. Development and validation of a new, simplified endoscopic activity score for Crohn’s disease: the SES-CD. Gastrointest Endosc. 2004;60(4):505–12.
Rutgeerts P, Geboes K, Vantrappen G, et al. Predictability of the post-operative course of Crohn’s disease. Gastroenterology. 1990;99(4):956–63.
Peyrin-Biroulet L, Panes J, Sandborn WJ, et al. Defining disease severity in inflammatory bowel diseases: current and future directions. Clin Gastroenterol Hepatol. 2016;14(3):348–54.
Khanna R, Zou G, D’Haens G, et al. Reliability among central readers in the evaluation of endoscopic findings from patients with Crohn’s disease. Gut. 2016;65(7):1119–25.
Daperno M, Castiglione F, de Ridder L, et al. Results of the 2nd part scientific workshop of the ECCO. II: measures and markers of prediction to achieve, detect, and monitor intestinal healing in inflammatory bowel disease. J Crohns Colitis. 2011;5(5):484–98.
Ferrante M, Colombel JF, Sandborn WJ, et al. Validation of endoscopic activity scores in patients with Crohn’s disease based on a post hoc analysis of data from SONIC. Gastroenterology. 2013;145(5):978–86.
Vuitton L, Marteau P, Sandborn WJ, et al. IOIBD technical review on endoscopic indices for Crohn’s disease clinical trials. Gut. 2016;65(9):1447–55.
Lémann M, Mary JY, Colombel JF, et al. A randomized, double-blind, controlled withdrawal trial in Crohn’s disease patients in long-term remission on azathioprine. Gastroenterology. 2005;128(7):1812–8.
Rutgeerts P, Van Assche G, Sandborn WJ, et al. Adalimumab induces and maintains mucosal healing in patients with Crohn’s disease: data from the EXTEND trial. Gastroenterology. 2012;142(5):1102–11.
Moskovitaz DN, Daperno M, Van Assche G. Defining and validating cut-offs for the simple endoscopic score for Crohn’s disease. Gastroenterology. 2007;132:S1097.
Peyrin-Biroulet L, Loftus EV, Colombel JF, et al. The natural history of adult Crohn’s disease in population-based cohorts. Am J Gastroenterol. 2010;105(2):289–97.
De Cruz P, Kamm MA, Hamilton AL, et al. Crohn’s disease management after intestinal resection: a randomised trial. Lancet. 2015;385(9976):1406–17.
Pariente B, Mary J-Y, Danese S, et al. Development of the Lémann index to assess digestive tract damage in patients with Crohn’s disease. Gastroenterology. 2015;148(1):52–63.
Cleynen I, Gonzalez JR, Figueroa C, et al. Genetic factors conferring an increased susceptibility to develop Crohn’s disease also influence disease phenotype: results from the IBDchip European Project. Gut. 2013;62(11):1556–65.
Cuthbert AP, Fisher SA, Mirza MM, et al. The contribution of NOD2 gene mutations to the risk and site of disease in inflammatory bowel disease. Gastroenterology. 2002;122(4):867–74.
Weiser M, Simon JM, Kochar B, et al. Molecular classification of Crohn’s disease reveals two clinically relevant subtypes. Gut. 2018;67(1):36–42.
Vermeire S, D’Haens G, Hale M, et al. Orlando; FL: 2017. A novel serum test to describe the mucosal healing state by disease location in Crohn’s disease patients [WCOG abstract 74]. Paper presented at: the World Congress of Gastroenterology at ACG2017; October 13–18.
Kelly OB, Silverberg MS, Dulai PS, et al. Orlando; FL: 2017. Development and validation of a multi-marker serum test for the assessment of mucosal healing in Crohn’s disease patients [WCOG abstract P2184]. Paper presented at: the World Congress of Gastroenterology at ACG2017; October 13–18.
Sandborn WJ, Abreu MT, Dubinsky MC. A noninvasive method to assess mucosal healing in patients* with Crohn’s disease. Gastroenterol Hepatol. 2018;14(5 Suppl 2):1–12.
Ananthakrishnan N, Luo C, Yajnik V, et al. Gut microbiome function predicts response to anti-integrin biologic therapy in inflammatory bowel diseases. Cell Host Microbe. 2017;21(5):603–10.
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Lynn, A.M., Loftus, E.V. (2019). Luminal Crohn’s Disease. In: Sheng Ding, N., De Cruz, P. (eds) Biomarkers in Inflammatory Bowel Diseases. Springer, Cham. https://doi.org/10.1007/978-3-030-11446-6_6
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