A nomogram for predicting small bowel mucosal healing in pediatric Crohn’s disease
ObjectivesAccording to the updated Selecting Therapeutic Targets in Inflammatory Bowel Disease (STRIDE-II), mucosal healing (MH) is the long-term therapeutic target for Crohn’s disease (CD). Capsule endoscopy (CE) is effective in evaluating small bowel mucosal inflammation. This research seeks to co...
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Frontiers Media S.A.
2025-06-01
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| Series: | Frontiers in Medicine |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fmed.2025.1582238/full |
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| author | Bingxia Chen Huiwen Li Hongli Wang Lu Ren Liya Xiong Yang Cheng Rui Li Meiwan Cao Zihuan Zeng Sitang Gong Peiyu Chen Lanlan Geng |
| author_facet | Bingxia Chen Huiwen Li Hongli Wang Lu Ren Liya Xiong Yang Cheng Rui Li Meiwan Cao Zihuan Zeng Sitang Gong Peiyu Chen Lanlan Geng |
| author_sort | Bingxia Chen |
| collection | DOAJ |
| description | ObjectivesAccording to the updated Selecting Therapeutic Targets in Inflammatory Bowel Disease (STRIDE-II), mucosal healing (MH) is the long-term therapeutic target for Crohn’s disease (CD). Capsule endoscopy (CE) is effective in evaluating small bowel mucosal inflammation. This research seeks to construct a simple tool for predicting small bowel MH in pediatric CD to aid clinical decision-making.MethodsData from the medical records of patients with CD who underwent CE at the Guangzhou Women and Children’s Medical Center between November 2017 and July 2022 were retrospectively analyzed. The least absolute shrinkage and selection operator (LASSO) logistic regression algorithm was applied to identify predictive factors for small bowel MH. A nomogram incorporating these factors was constructed to predict the probability of MH in this population.ResultsIn total, 143 CE examinations performed in 91 pediatric CD patients (median age, 11 years) were included. Based on the Lewis scores, the CD patients were divided into “MH” (42 cases) and “non-MH” groups (101 cases). LASSO regression analysis identified erythrocyte sedimentation rate, albumin levels, aspartate transaminase levels, C-reactive protein levels, platelet count, and lymphocyte percentage as the most significant predictors; and thus, these factors were incorporated into the predictive nomogram model. The area under the receiver-operating characteristic (ROC) curve of the predictive nomogram model was 0.855 (95% confidence interval, 0.783–0.926), suggesting a high discrimination power.ConclusionA nomogram was constructed to predict small bowel MH in pediatric CD patients. This nomogram model can enable accurate and simple attentive observation of small bowel inflammation in CD patients. |
| format | Article |
| id | doaj-art-0eccd00357da46368c962ffd0a38c48a |
| institution | Kabale University |
| issn | 2296-858X |
| language | English |
| publishDate | 2025-06-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Medicine |
| spelling | doaj-art-0eccd00357da46368c962ffd0a38c48a2025-08-20T03:29:34ZengFrontiers Media S.A.Frontiers in Medicine2296-858X2025-06-011210.3389/fmed.2025.15822381582238A nomogram for predicting small bowel mucosal healing in pediatric Crohn’s diseaseBingxia ChenHuiwen LiHongli WangLu RenLiya XiongYang ChengRui LiMeiwan CaoZihuan ZengSitang GongPeiyu ChenLanlan GengObjectivesAccording to the updated Selecting Therapeutic Targets in Inflammatory Bowel Disease (STRIDE-II), mucosal healing (MH) is the long-term therapeutic target for Crohn’s disease (CD). Capsule endoscopy (CE) is effective in evaluating small bowel mucosal inflammation. This research seeks to construct a simple tool for predicting small bowel MH in pediatric CD to aid clinical decision-making.MethodsData from the medical records of patients with CD who underwent CE at the Guangzhou Women and Children’s Medical Center between November 2017 and July 2022 were retrospectively analyzed. The least absolute shrinkage and selection operator (LASSO) logistic regression algorithm was applied to identify predictive factors for small bowel MH. A nomogram incorporating these factors was constructed to predict the probability of MH in this population.ResultsIn total, 143 CE examinations performed in 91 pediatric CD patients (median age, 11 years) were included. Based on the Lewis scores, the CD patients were divided into “MH” (42 cases) and “non-MH” groups (101 cases). LASSO regression analysis identified erythrocyte sedimentation rate, albumin levels, aspartate transaminase levels, C-reactive protein levels, platelet count, and lymphocyte percentage as the most significant predictors; and thus, these factors were incorporated into the predictive nomogram model. The area under the receiver-operating characteristic (ROC) curve of the predictive nomogram model was 0.855 (95% confidence interval, 0.783–0.926), suggesting a high discrimination power.ConclusionA nomogram was constructed to predict small bowel MH in pediatric CD patients. This nomogram model can enable accurate and simple attentive observation of small bowel inflammation in CD patients.https://www.frontiersin.org/articles/10.3389/fmed.2025.1582238/fullCrohn’s diseasecapsule endoscopymucosal healingnomogramprediction model |
| spellingShingle | Bingxia Chen Huiwen Li Hongli Wang Lu Ren Liya Xiong Yang Cheng Rui Li Meiwan Cao Zihuan Zeng Sitang Gong Peiyu Chen Lanlan Geng A nomogram for predicting small bowel mucosal healing in pediatric Crohn’s disease Frontiers in Medicine Crohn’s disease capsule endoscopy mucosal healing nomogram prediction model |
| title | A nomogram for predicting small bowel mucosal healing in pediatric Crohn’s disease |
| title_full | A nomogram for predicting small bowel mucosal healing in pediatric Crohn’s disease |
| title_fullStr | A nomogram for predicting small bowel mucosal healing in pediatric Crohn’s disease |
| title_full_unstemmed | A nomogram for predicting small bowel mucosal healing in pediatric Crohn’s disease |
| title_short | A nomogram for predicting small bowel mucosal healing in pediatric Crohn’s disease |
| title_sort | nomogram for predicting small bowel mucosal healing in pediatric crohn s disease |
| topic | Crohn’s disease capsule endoscopy mucosal healing nomogram prediction model |
| url | https://www.frontiersin.org/articles/10.3389/fmed.2025.1582238/full |
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