Literature DB >> 35670522

Feasibility of a Clinical Decision Support Tool for Ustekinumab to Predict Clinical Remission and Relapse in Patients With Crohn's Disease: A Multicenter Observational Study.

Jihye Park1,2, Jaeyoung Chun3, Hyuk Yoon4,5, Jae Hee Cheon6,2.   

Abstract

BACKGROUND: Ustekinumab was recently approved for the treatment of moderate to severe Crohn's disease (CD). Although the ustekinumab Clinical Decision Support Tool (UST-CDST) was able to predict ustekinumab responsiveness in a clinical trial, it is not clear whether UST-CDST can also predict a future clinical relapse following ustekinumab therapy in the real-life setting.
METHODS: We enrolled patients with moderate to severe CD who were refractory to conventional therapies and who showed a clinical response after induction therapy with ustekinumab and monitored them until the relapse. We performed a Cox proportional hazard analysis to investigate the predictive capability of UST-CDST for a clinical disease relapse.
RESULTS: Clinical remission rates at week 20 were 25.0% for low-probability responders, 66.7% for intermediate-probability responders, and 75.0% for high-probability responders. The high-probability responders were more likely to achieve clinical remission at week 20 compared with the low-probability responders. Among 99 patients with moderate to severe CD, 37 (37.4%) experienced a clinical relapse during the median follow-up period of 18.0 months of ustekinumab treatment. The cumulative relapse rates were 70.0% in the low-probability responders, 35.9% in the intermediate-probability responders, and 22.5% in the high-probability responders (P = .001). In a multivariable Cox proportional hazard analysis, the high-probability responders and intermediate-probability responders had a lower risk of clinical relapse than the low-probability responders. Receiver operating characteristic analysis using UST-CDST to predict relapse revealed an area under the curve of 0.698.
CONCLUSIONS: The UST-CDST can predict clinical relapse in patients with moderate to severe CD subjected to ustekinumab therapy.
© The Author(s) 2022. Published by Oxford University Press on behalf of Crohn’s & Colitis Foundation. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  Crohn’s disease; UST-CDST; relapse; ustekinumab

Year:  2022        PMID: 35670522     DOI: 10.1093/ibd/izac105

Source DB:  PubMed          Journal:  Inflamm Bowel Dis        ISSN: 1078-0998            Impact factor:   5.325


  1 in total

1.  Using Interpretable Machine Learning to Identify Baseline Predictive Factors of Remission and Drug Durability in Crohn's Disease Patients on Ustekinumab.

Authors:  María Chaparro; Iria Baston-Rey; Estela Fernández Salgado; Javier González García; Laura Ramos; María Teresa Diz-Lois Palomares; Federico Argüelles-Arias; Eva Iglesias Flores; Mercedes Cabello; Saioa Rubio Iturria; Andrea Núñez Ortiz; Mara Charro; Daniel Ginard; Carmen Dueñas Sadornil; Olga Merino Ochoa; David Busquets; Eduardo Iyo; Ana Gutiérrez Casbas; Patricia Ramírez de la Piscina; Marta Maia Boscá-Watts; Maite Arroyo; María José García; Esther Hinojosa; Jordi Gordillo; Pilar Martínez Montiel; Benito Velayos Jiménez; Cristina Quílez Ivorra; Juan María Vázquez Morón; José María Huguet; Yago González-Lama; Ana Isabel Muñagorri Santos; Víctor Manuel Amo; María Dolores Martín Arranz; Fernando Bermejo; Jesús Martínez Cadilla; Cristina Rubín de Célix; Paola Fradejas Salazar; Antonio López San Román; Nuria Jiménez; Santiago García-López; Anna Figuerola; Itxaso Jiménez; Francisco José Martínez Cerezo; Carlos Taxonera; Pilar Varela; Ruth de Francisco; David Monfort; Gema Molina Arriero; Alejandro Hernández-Camba; Francisco Javier García Alonso; Manuel Van Domselaar; Ramón Pajares-Villarroya; Alejandro Núñez; Francisco Rodríguez Moranta; Ignacio Marín-Jiménez; Virginia Robles Alonso; María Del Mar Martín Rodríguez; Patricia Camo-Monterde; Iván García Tercero; Mercedes Navarro-Llavat; Lara Arias García; Daniel Hervías Cruz; Sebastian Kloss; Alun Passey; Cynthia Novella; Eugenia Vispo; Manuel Barreiro-de Acosta; Javier P Gisbert
Journal:  J Clin Med       Date:  2022-08-03       Impact factor: 4.964

  1 in total

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