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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.
Afiliación
  • Tang N; Department of Gastroenterology, The First Affiliated Hospital of Nanjing Medical University, 300 Guangzhou Road, Nanjing, China.
  • Chen H; Department of Gastroenterology, The First Affiliated Hospital of Nanjing Medical University, 300 Guangzhou Road, Nanjing, China.
  • Chen R; Department of Gastroenterology, The Second Affiliated Hospital of Soochow University, 1055 Sanxiang Road, Suzhou, China.
  • Tang W; Department of Gastroenterology, The Second Affiliated Hospital of Soochow University, 1055 Sanxiang Road, Suzhou, China. louisetangwen@163.com.
  • Zhang H; Department of Gastroenterology, The First Affiliated Hospital of Nanjing Medical University, 300 Guangzhou Road, Nanjing, China. hjzhang06@163.com.
BMC Gastroenterol ; 22(1): 229, 2022 May 10.
Article en En | MEDLINE | ID: mdl-35538410
ABSTRACT

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.
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Enfermedad de Crohn Tipo de estudio: Diagnostic_studies / Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: BMC Gastroenterol Asunto de la revista: GASTROENTEROLOGIA Año: 2022 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Enfermedad de Crohn Tipo de estudio: Diagnostic_studies / Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: BMC Gastroenterol Asunto de la revista: GASTROENTEROLOGIA Año: 2022 Tipo del documento: Article País de afiliación: China