Combined Clinical and Histopathological Risk Stratification for Prediction of (severe) Endoscopic Postoperative Recurrence in Patients with Crohn’s Disease after Ileocolic Resection Article Swipe
YOU?
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· 2025
· Open Access
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· DOI: https://doi.org/10.1097/sla.0000000000006749
Objective: This study assessed the association of histopathological features in the resection specimen of CD patients with (severe) endoscopic postoperative recurrence (ePOR) in a large prospective, multicenter cohort study. Summary Background Data: The predictive value of histopathologic features of the intestinal resection specimen for the risk of Crohn’s disease (CD) recurrence after ileocolic (re-)resection (ICR) remains a matter of debate. Methods: CD patients (≥16 y) scheduled for ICR (n=293) were included. Outcome measures were ePOR (modified Rutgeerts’ score ≥i2b) and severe ePOR (≥i3) at six months postoperatively. Histopathological assessment of resection margins and mesentery/mesocolon was performed by expert gastrointestinal pathologists. Logistic regression was performed and ROC curves were delineated to explore the association and accuracy of histopathology with (severe) ePOR. Results: ePOR and severe ePOR was observed in 37% and 9% of patients. Only moderate to severe inflammation at the ileal resection margin (OR 2.5; 95%CI 1.1-5.6) was associated with ePOR in multivariable analysis. Area under the curve for individual histopathological risk factors varied between 0.53-0.58 for ePOR (active inflammation at the resection margins, submucosal plexitis and transmural inflammation) and 0.69-0.71 for severe ePOR (submucosal plexitis, transmural inflammation and mesenteric granulomas). Clinical risk factors alone (active smoking and postoperative prophylactic medication) had an AUC of 0.66 and 0.74 for ePOR and severe ePOR. Combined histopathological and clinical risk stratification increased the AUC up to 0.71 for ePOR and up to 0.79 for severe ePOR. Conclusions: Only moderate to severe inflammation at the ileal margin was independently associated with ePOR. A combined approach of clinical risk stratification and assessment of histopathological features in the resection specimen provides an adequate predictive value for (severe) ePOR after ICR in patients with CD.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1097/sla.0000000000006749
- OA Status
- hybrid
- Cited By
- 1
- Related Works
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- OpenAlex ID
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Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4410151996Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1097/sla.0000000000006749Digital Object Identifier
- Title
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Combined Clinical and Histopathological Risk Stratification for Prediction of (severe) Endoscopic Postoperative Recurrence in Patients with Crohn’s Disease after Ileocolic ResectionWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2025Year of publication
- Publication date
-
2025-05-07Full publication date if available
- Authors
-
Michiel T. Bak, Lindsey Oudijk, Ariadne H.A.G. Ooms, Evelien Beelen, Jarmila D.W. van der Bilt, Mariëlle Romberg‐Camps, Gerard Dijkstra, Marjolijn Duijvestein, Sander van der Marel, Laurents P. S. Stassen, Jeroen Maljaars, Christianne J. Buskens, J Lange, Gürsah Kats‐Ugurlu, Sita Jansen, Bindia Jharap, Carmen S. Horjus, Fiona D.M. van Schaik, Rachel West, Nanne K.H. de Boer, C. Janneke van der Woude, Kaushal Parikh, Oddeke van Ruler, Michail Doukas, Annemarie C. de VriesList of authors in order
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https://doi.org/10.1097/sla.0000000000006749Publisher landing page
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YesWhether a free full text is available
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hybridOpen access status per OpenAlex
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https://doi.org/10.1097/sla.0000000000006749Direct OA link when available
- Concepts
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Erythropoietin receptor, Medicine, Histopathology, Internal medicine, Gastroenterology, Surgery, Pathology, ReceptorTop concepts (fields/topics) attached by OpenAlex
- Cited by
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1Total citation count in OpenAlex
- Citations by year (recent)
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2025: 1Per-year citation counts (last 5 years)
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| publication_date | 2025-05-07 |
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