Cargando…
A risk score system to timely manage treatment in Crohn’s disease: a cohort study
BACKGROUND: Clinical severity and intestinal lesions of Crohn’s disease (CD) usually progress over time and require a step up adjustment of the therapy either to prevent or to treat complications. The aim of the study was to develop a simple risk scoring system to assess in individual CD patients t...
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6219027/ https://www.ncbi.nlm.nih.gov/pubmed/30400823 http://dx.doi.org/10.1186/s12876-018-0889-5 |
_version_ | 1783368568589516800 |
---|---|
author | Pallotta, Nadia Vincoli, Giuseppina Pezzotti, Patrizio Giovannone, Maurizio Gigliozzi, Alessandro Badiali, Danilo Vernia, Piero Corazziari, Enrico Stefano |
author_facet | Pallotta, Nadia Vincoli, Giuseppina Pezzotti, Patrizio Giovannone, Maurizio Gigliozzi, Alessandro Badiali, Danilo Vernia, Piero Corazziari, Enrico Stefano |
author_sort | Pallotta, Nadia |
collection | PubMed |
description | BACKGROUND: Clinical severity and intestinal lesions of Crohn’s disease (CD) usually progress over time and require a step up adjustment of the therapy either to prevent or to treat complications. The aim of the study was to develop a simple risk scoring system to assess in individual CD patients the risk of disease progression and the need for more intensive treatment and monitoring. METHODS: Prospective cohort study (January 2002–September 2014) including 160 CD patients (93 female, median age 31 years; disease behavior (B)1 25%, B2 55.6%, B3 19.4%; location (L)1 61%, L3 31.9%, L2 6%; L4 0.6%; perianal disease 28.8%) seen at 6–12-month interval. Median follow-up 7.9 years (IQR: 4.3–10.5 years). Poisson models were used to evaluate predictors, at each clinical assessment, of having the following outcomes at the subsequent clinical assessment a) use of steroids; b) start of azathioprine; c) start of anti-TNF-α drugs; d) need of surgery. For each outcome 32 variables, including demographic and clinical characteristics of patients and assessment of CD intestinal lesions and complications, were evaluated as potential predictors. The predictors included in the model were chosen by a backward selection. Risk scores were calculated taking for each predictor the integer part of the Poisson model parameter. RESULTS: Considering 1464 clinical assessments 12 independent risk factors were identified, CD lesions, age at diagnosis < 40 years, stricturing behavior (B2), specific intestinal symptoms, female gender, BMI < 21, CDAI> 50, presence of inflammatory markers, no previous surgery or presence of termino-terminal anastomosis, current use of corticosteroid, no corticosteroid at first flare-up. Six of these predicted steroids use (score 0–9), three to start azathioprine (score 0–4); three to start anti-TNF-α drugs (score 0–4); six need of surgery (score 0–11). The predicted percentage risk to be treated with surgery within one year since the referral assessment varied from 1 to 28%; with azathioprine from 3 to 13%; with anti-TNF-α drugs from 2 to 15%. CONCLUSIONS: These scores may provide a useful clinical tool for clinicians in the prognostic assessment and treatment adjustment of Crohn’s disease in any individual patient. |
format | Online Article Text |
id | pubmed-6219027 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-62190272018-11-08 A risk score system to timely manage treatment in Crohn’s disease: a cohort study Pallotta, Nadia Vincoli, Giuseppina Pezzotti, Patrizio Giovannone, Maurizio Gigliozzi, Alessandro Badiali, Danilo Vernia, Piero Corazziari, Enrico Stefano BMC Gastroenterol Research Article BACKGROUND: Clinical severity and intestinal lesions of Crohn’s disease (CD) usually progress over time and require a step up adjustment of the therapy either to prevent or to treat complications. The aim of the study was to develop a simple risk scoring system to assess in individual CD patients the risk of disease progression and the need for more intensive treatment and monitoring. METHODS: Prospective cohort study (January 2002–September 2014) including 160 CD patients (93 female, median age 31 years; disease behavior (B)1 25%, B2 55.6%, B3 19.4%; location (L)1 61%, L3 31.9%, L2 6%; L4 0.6%; perianal disease 28.8%) seen at 6–12-month interval. Median follow-up 7.9 years (IQR: 4.3–10.5 years). Poisson models were used to evaluate predictors, at each clinical assessment, of having the following outcomes at the subsequent clinical assessment a) use of steroids; b) start of azathioprine; c) start of anti-TNF-α drugs; d) need of surgery. For each outcome 32 variables, including demographic and clinical characteristics of patients and assessment of CD intestinal lesions and complications, were evaluated as potential predictors. The predictors included in the model were chosen by a backward selection. Risk scores were calculated taking for each predictor the integer part of the Poisson model parameter. RESULTS: Considering 1464 clinical assessments 12 independent risk factors were identified, CD lesions, age at diagnosis < 40 years, stricturing behavior (B2), specific intestinal symptoms, female gender, BMI < 21, CDAI> 50, presence of inflammatory markers, no previous surgery or presence of termino-terminal anastomosis, current use of corticosteroid, no corticosteroid at first flare-up. Six of these predicted steroids use (score 0–9), three to start azathioprine (score 0–4); three to start anti-TNF-α drugs (score 0–4); six need of surgery (score 0–11). The predicted percentage risk to be treated with surgery within one year since the referral assessment varied from 1 to 28%; with azathioprine from 3 to 13%; with anti-TNF-α drugs from 2 to 15%. CONCLUSIONS: These scores may provide a useful clinical tool for clinicians in the prognostic assessment and treatment adjustment of Crohn’s disease in any individual patient. BioMed Central 2018-11-06 /pmc/articles/PMC6219027/ /pubmed/30400823 http://dx.doi.org/10.1186/s12876-018-0889-5 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Pallotta, Nadia Vincoli, Giuseppina Pezzotti, Patrizio Giovannone, Maurizio Gigliozzi, Alessandro Badiali, Danilo Vernia, Piero Corazziari, Enrico Stefano A risk score system to timely manage treatment in Crohn’s disease: a cohort study |
title | A risk score system to timely manage treatment in Crohn’s disease: a cohort study |
title_full | A risk score system to timely manage treatment in Crohn’s disease: a cohort study |
title_fullStr | A risk score system to timely manage treatment in Crohn’s disease: a cohort study |
title_full_unstemmed | A risk score system to timely manage treatment in Crohn’s disease: a cohort study |
title_short | A risk score system to timely manage treatment in Crohn’s disease: a cohort study |
title_sort | risk score system to timely manage treatment in crohn’s disease: a cohort study |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6219027/ https://www.ncbi.nlm.nih.gov/pubmed/30400823 http://dx.doi.org/10.1186/s12876-018-0889-5 |
work_keys_str_mv | AT pallottanadia ariskscoresystemtotimelymanagetreatmentincrohnsdiseaseacohortstudy AT vincoligiuseppina ariskscoresystemtotimelymanagetreatmentincrohnsdiseaseacohortstudy AT pezzottipatrizio ariskscoresystemtotimelymanagetreatmentincrohnsdiseaseacohortstudy AT giovannonemaurizio ariskscoresystemtotimelymanagetreatmentincrohnsdiseaseacohortstudy AT gigliozzialessandro ariskscoresystemtotimelymanagetreatmentincrohnsdiseaseacohortstudy AT badialidanilo ariskscoresystemtotimelymanagetreatmentincrohnsdiseaseacohortstudy AT verniapiero ariskscoresystemtotimelymanagetreatmentincrohnsdiseaseacohortstudy AT corazziarienricostefano ariskscoresystemtotimelymanagetreatmentincrohnsdiseaseacohortstudy AT pallottanadia riskscoresystemtotimelymanagetreatmentincrohnsdiseaseacohortstudy AT vincoligiuseppina riskscoresystemtotimelymanagetreatmentincrohnsdiseaseacohortstudy AT pezzottipatrizio riskscoresystemtotimelymanagetreatmentincrohnsdiseaseacohortstudy AT giovannonemaurizio riskscoresystemtotimelymanagetreatmentincrohnsdiseaseacohortstudy AT gigliozzialessandro riskscoresystemtotimelymanagetreatmentincrohnsdiseaseacohortstudy AT badialidanilo riskscoresystemtotimelymanagetreatmentincrohnsdiseaseacohortstudy AT verniapiero riskscoresystemtotimelymanagetreatmentincrohnsdiseaseacohortstudy AT corazziarienricostefano riskscoresystemtotimelymanagetreatmentincrohnsdiseaseacohortstudy |