Nomogram to predict primary non-response to infliximab in patients with Crohn’s disease: a multicenter study

Author:

Ye Xiao-Qi1,Cai Jing23,Yu Qiao4,Cao Xiao-Cang5,Chen Yan4,Rao Mei-Xin1,Chen Bai-Li1,He Yao1,Zeng Zhi-Rong1,Chen Hao4,Lin Yi-Mou4,Cao Qian2,Chen Min-Hu1,Zhang Sheng-Hong1

Affiliation:

1. Department of Gastroenterology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, P. R. China

2. Department of Gastroenterology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, P. R. China

3. Department of Gastroenterology, Wenzhou Central Hospital, Wenzhou, Zhejiang, P. R. China

4. Department of Gastroenterology, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, P. R. China

5. Department of Gastroenterology, Tianjin Medical University General Hospital, Tianjin, P. R. China

Abstract

Abstract Background Infliximab (IFX) is effective at inducing and maintaining clinical remission and mucosal healing in patients with Crohn’s disease (CD); however, 9%–40% of patients do not respond to primary IFX treatment. This study aimed to construct and validate nomograms to predict IFX response in CD patients. Methods A total of 343 patients diagnosed with CD who had received IFX induction from four tertiary centers between September 2008 and September 2019 were enrolled in this study and randomly classified into a training cohort (n = 240) and a validation cohort (n = 103). The primary outcome was primary non-response (PNR) and the secondary outcome was mucosal healing (MH). Nomograms were constructed from the training cohort using multivariate logistic regression. Performance of nomograms was evaluated by area under the receiver-operating characteristic curve (AUC) and calibration curve. The clinical usefulness of nomograms was evaluated by decision-curve analysis. Results The nomogram for PNR was developed based on four independent predictors: age, C-reactive protein (CRP) at week 2, body mass index, and non-stricturing, non-penetrating behavior (B1). AUC was 0.77 in the training cohort and 0.76 in the validation cohort. The nomogram for MH included four independent factors: baseline Crohn’s Disease Endoscopic Index of Severity, CRP at week 2, B1, and disease duration. AUC was 0.79 and 0.72 in the training and validation cohorts, respectively. The two nomograms showed good calibration in both cohorts and were superior to single factors and an existing matrix model. The decision curve indicated the clinical usefulness of the PNR nomogram. Conclusions We established and validated nomograms for the prediction of PNR to IFX and MH in CD patients. This graphical tool is easy to use and will assist physicians in therapeutic decision-making.

Funder

National Natural Science Foundation of China

Guangdong Science and Technology

Science and Technology Innovation Young Talents of Guangdong Special Support Plan

Fundamental Research Funds for the Central Universities

Publisher

Oxford University Press (OUP)

Subject

Gastroenterology

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