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Combination of serological biomarkers and clinical features to predict mucosal healing in Crohn’s disease: a multicenter cohort study

PURPOSE: Mucosal healing (MH) has become the treatment goal of patients with Crohn’s disease (CD). This study aims to develop a noninvasive and reliable clinical tool for individual evaluation of mucosal healing in patients with Crohn’s disease. METHODS: A multicenter retrospective cohort was establ...

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Autores principales: Tang, Nana, Chen, Han, Chen, Ruidong, Tang, Wen, Zhang, Hongjie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9088028/
https://www.ncbi.nlm.nih.gov/pubmed/35538410
http://dx.doi.org/10.1186/s12876-022-02304-y
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author Tang, Nana
Chen, Han
Chen, Ruidong
Tang, Wen
Zhang, Hongjie
author_facet Tang, Nana
Chen, Han
Chen, Ruidong
Tang, Wen
Zhang, Hongjie
author_sort Tang, Nana
collection PubMed
description PURPOSE: Mucosal healing (MH) has become the treatment goal of patients with Crohn’s disease (CD). This study aims to develop a noninvasive and reliable clinical tool for individual evaluation of mucosal healing in patients with Crohn’s disease. METHODS: A multicenter retrospective cohort was established. Clinical and serological variables were collected. Separate risk factors were incorporated into a binary logistic regression model. A primary model and a simple model were established, respectively. The model performance was evaluated with C-index, sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV) and accuracy. Internal validation was performed in patients with small intestinal lesions. RESULTS: A total of 348 consecutive patients diagnosed with CD who underwent endoscopic examination and review after treatment from January 2010 to June 2021 were composed in the derivation cohort, and 112 patients with small intestinal lesions were included in the validation cohort. The following variables were independently associated with the MH and were subsequently included into the primary prediction model: PLR (platelet to lymphocyte ratio), CAR (C-reactive protein to albumin ratio), ESR (erythrocyte sedimentation rate), HBI (Harvey-Bradshaw Index) score and infliximab treatment. The simple model only included factors of PLR, CAR and ESR. The primary model performed better than the simple one in C-index (87.5% vs. 83.0%, p = 0.004). There was no statistical significance between these two models in sensitivity (70.43% vs. 62.61%, p = 0.467), specificity (87.12% vs. 80.69%, p = 0.448), PPV (72.97% vs. 61.54%, p = 0.292), NPV (85.65% vs. 81.39%, p = 0.614), and accuracy (81.61% vs. 74.71%, p = 0.303). The primary model had good calibration and high levels of explained variation and discrimination in validation cohort. CONCLUSIONS: This model can be used to predict MH in post-treatment patients with CD. It can also be used as an indication of endoscopic surveillance to evaluate mucosal healing in patients with CD after treatment. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12876-022-02304-y.
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spelling pubmed-90880282022-05-11 Combination of serological biomarkers and clinical features to predict mucosal healing in Crohn’s disease: a multicenter cohort study Tang, Nana Chen, Han Chen, Ruidong Tang, Wen Zhang, Hongjie BMC Gastroenterol Research PURPOSE: Mucosal healing (MH) has become the treatment goal of patients with Crohn’s disease (CD). This study aims to develop a noninvasive and reliable clinical tool for individual evaluation of mucosal healing in patients with Crohn’s disease. METHODS: A multicenter retrospective cohort was established. Clinical and serological variables were collected. Separate risk factors were incorporated into a binary logistic regression model. A primary model and a simple model were established, respectively. The model performance was evaluated with C-index, sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV) and accuracy. Internal validation was performed in patients with small intestinal lesions. RESULTS: A total of 348 consecutive patients diagnosed with CD who underwent endoscopic examination and review after treatment from January 2010 to June 2021 were composed in the derivation cohort, and 112 patients with small intestinal lesions were included in the validation cohort. The following variables were independently associated with the MH and were subsequently included into the primary prediction model: PLR (platelet to lymphocyte ratio), CAR (C-reactive protein to albumin ratio), ESR (erythrocyte sedimentation rate), HBI (Harvey-Bradshaw Index) score and infliximab treatment. The simple model only included factors of PLR, CAR and ESR. The primary model performed better than the simple one in C-index (87.5% vs. 83.0%, p = 0.004). There was no statistical significance between these two models in sensitivity (70.43% vs. 62.61%, p = 0.467), specificity (87.12% vs. 80.69%, p = 0.448), PPV (72.97% vs. 61.54%, p = 0.292), NPV (85.65% vs. 81.39%, p = 0.614), and accuracy (81.61% vs. 74.71%, p = 0.303). The primary model had good calibration and high levels of explained variation and discrimination in validation cohort. CONCLUSIONS: This model can be used to predict MH in post-treatment patients with CD. It can also be used as an indication of endoscopic surveillance to evaluate mucosal healing in patients with CD after treatment. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12876-022-02304-y. BioMed Central 2022-05-10 /pmc/articles/PMC9088028/ /pubmed/35538410 http://dx.doi.org/10.1186/s12876-022-02304-y Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Tang, Nana
Chen, Han
Chen, Ruidong
Tang, Wen
Zhang, Hongjie
Combination of serological biomarkers and clinical features to predict mucosal healing in Crohn’s disease: a multicenter cohort study
title Combination of serological biomarkers and clinical features to predict mucosal healing in Crohn’s disease: a multicenter cohort study
title_full Combination of serological biomarkers and clinical features to predict mucosal healing in Crohn’s disease: a multicenter cohort study
title_fullStr Combination of serological biomarkers and clinical features to predict mucosal healing in Crohn’s disease: a multicenter cohort study
title_full_unstemmed Combination of serological biomarkers and clinical features to predict mucosal healing in Crohn’s disease: a multicenter cohort study
title_short Combination of serological biomarkers and clinical features to predict mucosal healing in Crohn’s disease: a multicenter cohort study
title_sort combination of serological biomarkers and clinical features to predict mucosal healing in crohn’s disease: a multicenter cohort study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9088028/
https://www.ncbi.nlm.nih.gov/pubmed/35538410
http://dx.doi.org/10.1186/s12876-022-02304-y
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