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PROgnosticating COeliac patieNts SUrvivaL: The PROCONSUL Score

INTRODUCTION: It has been shown that mortality rates of coeliac patients correlate with age at diagnosis of coeliac disease, diagnostic delay for coeliac disease, pattern of clinical presentation and HLA typing. Our aim was to create a tool that identifies coeliac patients at higher risk of developi...

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Autores principales: Biagi, Federico, Schiepatti, Annalisa, Malamut, Georgia, Marchese, Alessandra, Cellier, Christophe, Bakker, Sjoerd F., Mulder, Chris J. J., Volta, Umberto, Zingone, Fabiana, Ciacci, Carolina, D’Odorico, Anna, Andrealli, Alida, Astegiano, Marco, Klersy, Catherine, Corazza, Gino R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3879269/
https://www.ncbi.nlm.nih.gov/pubmed/24392112
http://dx.doi.org/10.1371/journal.pone.0084163
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author Biagi, Federico
Schiepatti, Annalisa
Malamut, Georgia
Marchese, Alessandra
Cellier, Christophe
Bakker, Sjoerd F.
Mulder, Chris J. J.
Volta, Umberto
Zingone, Fabiana
Ciacci, Carolina
D’Odorico, Anna
Andrealli, Alida
Astegiano, Marco
Klersy, Catherine
Corazza, Gino R.
author_facet Biagi, Federico
Schiepatti, Annalisa
Malamut, Georgia
Marchese, Alessandra
Cellier, Christophe
Bakker, Sjoerd F.
Mulder, Chris J. J.
Volta, Umberto
Zingone, Fabiana
Ciacci, Carolina
D’Odorico, Anna
Andrealli, Alida
Astegiano, Marco
Klersy, Catherine
Corazza, Gino R.
author_sort Biagi, Federico
collection PubMed
description INTRODUCTION: It has been shown that mortality rates of coeliac patients correlate with age at diagnosis of coeliac disease, diagnostic delay for coeliac disease, pattern of clinical presentation and HLA typing. Our aim was to create a tool that identifies coeliac patients at higher risk of developing complications. METHODS: To identify predictors of complications in patients with coeliac disease, we organised an observational multicenter case-control study based on a retrospective collection of clinical data. Clinical data from 116 cases (patients with complicated coeliac disease) and 181 controls (coeliac patients without any complications) were collected from seven European centres. For each case, one or two controls, matched to cases according to the year of assessment, gender and age, were selected. Diagnostic delay, pattern of clinical presentation, HLA typing and age at diagnosis were used as predictors. RESULTS: Differences between cases and controls were detected for diagnostic delay and classical presentation. Conditional logistic models based on these statistically different predictors allowed the development of a score system. Tertiles analysis showed a relationship between score and risk of developing complications. DISCUSSION: A score that shows the risk of a newly diagnosed coeliac patient developing complications was devised for the first time. This will make it possible to set up the follow-up of coeliac patients with great benefits not only for their health but also for management of economic resources. CONCLUSIONS: We think that our results are very encouraging and represent the first attempt to build a prognostic score for coeliac patients.
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spelling pubmed-38792692014-01-03 PROgnosticating COeliac patieNts SUrvivaL: The PROCONSUL Score Biagi, Federico Schiepatti, Annalisa Malamut, Georgia Marchese, Alessandra Cellier, Christophe Bakker, Sjoerd F. Mulder, Chris J. J. Volta, Umberto Zingone, Fabiana Ciacci, Carolina D’Odorico, Anna Andrealli, Alida Astegiano, Marco Klersy, Catherine Corazza, Gino R. PLoS One Research Article INTRODUCTION: It has been shown that mortality rates of coeliac patients correlate with age at diagnosis of coeliac disease, diagnostic delay for coeliac disease, pattern of clinical presentation and HLA typing. Our aim was to create a tool that identifies coeliac patients at higher risk of developing complications. METHODS: To identify predictors of complications in patients with coeliac disease, we organised an observational multicenter case-control study based on a retrospective collection of clinical data. Clinical data from 116 cases (patients with complicated coeliac disease) and 181 controls (coeliac patients without any complications) were collected from seven European centres. For each case, one or two controls, matched to cases according to the year of assessment, gender and age, were selected. Diagnostic delay, pattern of clinical presentation, HLA typing and age at diagnosis were used as predictors. RESULTS: Differences between cases and controls were detected for diagnostic delay and classical presentation. Conditional logistic models based on these statistically different predictors allowed the development of a score system. Tertiles analysis showed a relationship between score and risk of developing complications. DISCUSSION: A score that shows the risk of a newly diagnosed coeliac patient developing complications was devised for the first time. This will make it possible to set up the follow-up of coeliac patients with great benefits not only for their health but also for management of economic resources. CONCLUSIONS: We think that our results are very encouraging and represent the first attempt to build a prognostic score for coeliac patients. Public Library of Science 2014-01-02 /pmc/articles/PMC3879269/ /pubmed/24392112 http://dx.doi.org/10.1371/journal.pone.0084163 Text en © 2014 Biagi et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Biagi, Federico
Schiepatti, Annalisa
Malamut, Georgia
Marchese, Alessandra
Cellier, Christophe
Bakker, Sjoerd F.
Mulder, Chris J. J.
Volta, Umberto
Zingone, Fabiana
Ciacci, Carolina
D’Odorico, Anna
Andrealli, Alida
Astegiano, Marco
Klersy, Catherine
Corazza, Gino R.
PROgnosticating COeliac patieNts SUrvivaL: The PROCONSUL Score
title PROgnosticating COeliac patieNts SUrvivaL: The PROCONSUL Score
title_full PROgnosticating COeliac patieNts SUrvivaL: The PROCONSUL Score
title_fullStr PROgnosticating COeliac patieNts SUrvivaL: The PROCONSUL Score
title_full_unstemmed PROgnosticating COeliac patieNts SUrvivaL: The PROCONSUL Score
title_short PROgnosticating COeliac patieNts SUrvivaL: The PROCONSUL Score
title_sort prognosticating coeliac patients survival: the proconsul score
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3879269/
https://www.ncbi.nlm.nih.gov/pubmed/24392112
http://dx.doi.org/10.1371/journal.pone.0084163
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