TY - JOUR
T1 - Development and validation of diagnostic criteria for IBD subtypes including IBdunclassified in children
T2 - A multicentre study from the pediatric IBD porto group of ESPGHAN
AU - on behalf of the Pediatric IBD Porto group of ESPGHAN
AU - Birimberg-Schwartz, Liron
AU - Zucker, David M.
AU - Akriv, Amichay
AU - Cucchiara, Salvatore
AU - Cameron, Fiona L.
AU - Wilson, David C.
AU - Łazowska, Iza
AU - Yianni, Lambri
AU - Paul, Siba Prosad
AU - Romano, Claudio
AU - Kolaček, Sanja
AU - Buderus, Stephan
AU - Pærregaard, Anders
AU - Russell, Richard K.
AU - Escher, Johanna C.
AU - Turnera, Dan
N1 - Publisher Copyright:
© 2017 European Crohn's and Colitis Organisation (ECCO). Published by Oxford University Press. All rights reserved.
PY - 2017/9/1
Y1 - 2017/9/1
N2 - Background: The revised Porto criteria identify subtypes of paediatric inflammatory bowel diseases: ulcerative colitis [UC], atypical UC, inflammatory bowel disease unclassified [IBDU], and Crohn's disease [CD]. Others have proposed another subclassifiction of Crohn's colitis. In continuation of the Porto criteria, we aimed to derive and validate criteria, termed "PIBD-classes," for standardising the classification of the different IBD subtypes. Methods: This was a multicentre retrospective longitudinal study from 23 centres affiliated with the Port -group of ESPGHAN. Both a hypothesis-driven judgmental approach and mathematical classification and regression tree [CART] modelling were used for creating a diagnostic algorithm. Since small bowel inflammation is easily recognised as CD, we focused here primarily on the phenotype of colitis. Results: In all, 749 IBD children were enrolled: 236 [32%] Crohn's colitis, 272 [36%] UC and 241 [32%] IBDU [age 10.9 ± 3.6 years] with a median follow-up of 2.8 years (interquartile range [IQR] 1.7-4.3). A total of 23 features were clustered in three classes according to their prevalence in UC: six class-1 features [0% prevalence in UC], 12 class-2 features [< 5% prevalence], and five class-3 features [5-10% prevalence]. According to the algorithm, the disease should be classified as UC if no features exist in any of the classes. When at least one feature exists, different combinations classify the disease into atypical UC, IBDU or CD. The algorithm differentiated UC from CD and IBDU with 80% sensitivity (95% confidence interval [CI] 71-88%) and 84% specificity [77-89%], and CD from IBDU and UC with 78% sensitivity [67-87%] and 94% specificity [89-97%]. Conclusions: The validated PIBD-classes algorithm can adequately classify children with IBD into small bowel CD, colonic CD, IBDU, atypical UC, and UC.
AB - Background: The revised Porto criteria identify subtypes of paediatric inflammatory bowel diseases: ulcerative colitis [UC], atypical UC, inflammatory bowel disease unclassified [IBDU], and Crohn's disease [CD]. Others have proposed another subclassifiction of Crohn's colitis. In continuation of the Porto criteria, we aimed to derive and validate criteria, termed "PIBD-classes," for standardising the classification of the different IBD subtypes. Methods: This was a multicentre retrospective longitudinal study from 23 centres affiliated with the Port -group of ESPGHAN. Both a hypothesis-driven judgmental approach and mathematical classification and regression tree [CART] modelling were used for creating a diagnostic algorithm. Since small bowel inflammation is easily recognised as CD, we focused here primarily on the phenotype of colitis. Results: In all, 749 IBD children were enrolled: 236 [32%] Crohn's colitis, 272 [36%] UC and 241 [32%] IBDU [age 10.9 ± 3.6 years] with a median follow-up of 2.8 years (interquartile range [IQR] 1.7-4.3). A total of 23 features were clustered in three classes according to their prevalence in UC: six class-1 features [0% prevalence in UC], 12 class-2 features [< 5% prevalence], and five class-3 features [5-10% prevalence]. According to the algorithm, the disease should be classified as UC if no features exist in any of the classes. When at least one feature exists, different combinations classify the disease into atypical UC, IBDU or CD. The algorithm differentiated UC from CD and IBDU with 80% sensitivity (95% confidence interval [CI] 71-88%) and 84% specificity [77-89%], and CD from IBDU and UC with 78% sensitivity [67-87%] and 94% specificity [89-97%]. Conclusions: The validated PIBD-classes algorithm can adequately classify children with IBD into small bowel CD, colonic CD, IBDU, atypical UC, and UC.
KW - Classification
KW - Crohn's colitis
KW - Crohn's disease
KW - IBD-unclassified
KW - Pediatric
KW - UC
UR - http://www.scopus.com/inward/record.url?scp=85037604980&partnerID=8YFLogxK
U2 - 10.1093/ecco-jcc/jjx053
DO - 10.1093/ecco-jcc/jjx053
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C2 - 28430891
AN - SCOPUS:85037604980
SN - 1873-9946
VL - 11
SP - 1078
EP - 1084
JO - Journal of Crohn's and Colitis
JF - Journal of Crohn's and Colitis
IS - 9
ER -