P386 Predictive models for assessing the response to ustekinumab in Crohn’s disease patients
| Autor: | A Hubert, J Bottieau, J F Toubeau, D Franchimont, F Vallée, C Liefferinckx |
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| Rok vydání: | 2022 |
| Předmět: | |
| Zdroj: | Journal of Crohn's and Colitis. 16:i385-i386 |
| ISSN: | 1876-4479 1873-9946 |
| Popis: | Background The loss of response to biologics remains a clinical challenge for which the discovery of predictive factors is helpful. In this direction, exploiting tree-based models on top of logistic regression (LR) allows to uncover unexpected valuable predictors. The aim of the study is to develop performant predictions of ustekinumab (USK) response at one year of follow-up in a cohort of Crohn’s disease (CD) patients using benchmark logistic regression (LR) and tailored tree-based techniques, Random forest (RF) and Gradient Boosting Decision Trees (GBDT). Methods This is a retrospective study based on a cohort of, 80 CD patients treated with USK. Inputs include demographic data, disease characteristics as well as pharmacokinetics, clinical and biological parameters at baseline, week, 8 and, 16. After one-year follow-up, both clinical outcome (achieved in case of USK maintenance without optimization, n=80) and endoscopic outcome (achieved in case of SES-CD Results Input data characterizing the CD cohort are presented in Table, 1. At one-year follow-up, clinical and endoscopic outcomes were achieved in, 56.2% (n=45/80) and, 69% (n=, 36/52), respectively. Table, 2 summarizes the predictive model characteristics at the different timepoints. Whatever the outcome, predictive models exhibited an increased accuracy over the induction timepoints. At week, 16, a multivariate LR allowed to predict endoscopic outcome with an AUC, 0.86±0.12, Se, 83% and Sp, 70%. The explanatory variables were CRP level at week, 8 and, 16, lymphocyte count at week, 8 and USK trough levels at week, 16. The best model to predict endoscopic outcome was obtained by RF with an AUC of, 0.92 ±0.08, Se, 91% and Sp, 75%. The key inputs were lymphocyte count at baseline. Conclusion This study highlighted the added value of applying tree-based models for the development of accurate predictive models. More specifically, the evolution of biological markers during induction as well as USK trough levels at week, 16 are relevant factors to predict endoscopic outcome among CD patients treated with USK |
| Databáze: | OpenAIRE |
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