Literature DB >> 22957944

Predictive factors of response to intravenous ciclosporin in severe ulcerative colitis: the development of a novel prediction formula.

K Saito1, T Katsuno, T Nakagawa, M Saito, S Sazuka, T Sato, T Matsumura, M Arai, H Miyauchi, H Matsubara, O Yokosuka.   

Abstract

BACKGROUND: When treating patients with severe ulcerative colitis (UC), accurate prediction of drug efficacy contributes to early clinical decision-making. AIM: To identify predictive factors and to develop a reliable prediction formula and a decision tree of response to intravenous ciclosporin treatment for severe UC.
METHODS: Patients included in this study were those diagnosed with refractory severe UC who had undergone ciclosporin treatment between December 2004 and March 2011 at a tertiary referral centre in Japan. Demographic and clinical parameters from all patients were analysed by multivariate statistics.
RESULTS: Fifty-two patients were included in this study (36.5% men with an average age of ciclosporin initiation of 40.2 ± 15.6 years). Thirty-four patients (65.4%) were responders to the treatment with ciclosporin and avoided colectomy, 18 patients (34.6%) were nonresponders and underwent colectomy. Stepwise multiple logistic regression analysis identified four independent predictive factors of response to intravenous ciclosporin: age at hospitalisation (AGE), platelet count (×10(4) /μL) on the first day (PLA), Lichtiger score on the third day (LIC) and total protein (g/dL) on the third day minus total protein on the first day (ΔTP). The calculation formula (8.5 - 0.16 × AGE + 0.21 × PLA - 0.61 × LIC + 2.3 × ΔTP < 0) predicted colectomy with an accuracy of 88.5% and the decision tree predicted colectomy with an accuracy of 90.4%.
CONCLUSION: The novel calculation formula and the decision tree effectively predict the clinical outcome of ciclosporin treatment for severe ulcerative colitis as early as on day 3 after starting ciclosporin treatment.
© 2012 Blackwell Publishing Ltd.

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Year:  2012        PMID: 22957944     DOI: 10.1111/apt.12033

Source DB:  PubMed          Journal:  Aliment Pharmacol Ther        ISSN: 0269-2813            Impact factor:   8.171


  6 in total

1.  Efficacy, dose reduction, and resistance to high-dose fluticasone in patients with eosinophilic esophagitis.

Authors:  Bridget K Butz; Ting Wen; Gerald J Gleich; Glenn T Furuta; Jonathan Spergel; Eileen King; Robert E Kramer; Margaret H Collins; Emily Stucke; Colleen Mangeot; W Daniel Jackson; Molly O'Gorman; J Pablo Abonia; Scott Pentiuk; Philip E Putnam; Marc E Rothenberg
Journal:  Gastroenterology       Date:  2014-04-22       Impact factor: 22.682

2.  Machine Learning-based Prediction Models for Diagnosis and Prognosis in Inflammatory Bowel Diseases: A Systematic Review.

Authors:  Nghia H Nguyen; Dominic Picetti; Parambir S Dulai; Vipul Jairath; William J Sandborn; Lucila Ohno-Machado; Peter L Chen; Siddharth Singh
Journal:  J Crohns Colitis       Date:  2022-03-14       Impact factor: 10.020

3.  Prognostic factors affecting early colectomy in patients with moderate to severe ulcerative colitis treated with calcineurin inhibitors.

Authors:  Hiromitsu Ban; Shigeki Bamba; Atsushi Nishida; Osamu Inatomi; Makoto Shioya; Ken-Ichiro Takahashi; Hirotsugu Imaeda; Masaki Murata; Masaya Sasaki; Tomoyuki Tsujikawa; Akira Andoh
Journal:  Exp Ther Med       Date:  2016-05-16       Impact factor: 2.447

4.  Markers of Systemic Inflammation in Acute Attacks of Ulcerative Colitis: What Level of C-reactive Protein Constitutes Severe Colitis?

Authors:  Anthony Croft; Anton Lord; Graham Radford-Smith
Journal:  J Crohns Colitis       Date:  2022-08-04       Impact factor: 10.020

5.  Development and validation of novel models for the prediction of intravenous corticosteroid resistance in acute severe ulcerative colitis using logistic regression and machine learning.

Authors:  Si Yu; Hui Li; Yue Li; Hui Xu; Bei Tan; Bo-Wen Tian; Yi-Min Dai; Feng Tian; Jia-Ming Qian
Journal:  Gastroenterol Rep (Oxf)       Date:  2022-09-30

Review 6.  Ulcerative Colitis: Current and Emerging Treatment Strategies.

Authors:  Maia Kayal; Shailja Shah
Journal:  J Clin Med       Date:  2019-12-30       Impact factor: 4.241

  6 in total

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