Liron Birimberg-Schwartz1, David M Zucker2, Amichay Akriv2, Salvatore Cucchiara3, Fiona L Cameron4, David C Wilson4, Iza Lazowska5, Lambri Yianni6, Siba Prosad Paul7, Claudio Romano8, Sanja Kolacek9, Stephan Buderus10, Anders Pærregaard11, Richard K Russell12, Johanna C Escher13, Dan Turner1,2. 1. Institute of Pediatric Gastroenterology, Shaare Zedek Medical Centre, Jerusalem, Israel. 2. Department of Statistics, Hebrew University of Jerusalem, Jerusalem, Israel. 3. Pediatric Gastroenterology and Liver Unit, Sapienza University of Rome, Rome, Italy. 4. Child Life and Health, University of Edinburgh and Royal Hospital for Children, Edinburgh, UK. 5. Paediatric Gastroenterology Unit, Medical University of Warsaw, Warsaw, Poland. 6. University Hospital Southampton NHS Foundation Trust, Child Health, Southampton,UK. 7. Paediatric Gastroenterology, Bristol Royal Hospital for Children,Bristol, UK. 8. Pediatric Gastroenterology and Endoscopy, University of Messina, Messina, Italy. 9. Paediatric Gastroenterology Unit, Children's Hospital Zagreb, University Medical School, Zagreb, Croatia. 10. St.-Marien-Hospital, Department of Pediatrics, Bonn, Germany. 11. Department of Paediatrics, Hvidovre University Hospital, Copenhagen, Denmark. 12. Paediatric Gastroenterology Unit, Royal Hospital for Children, Glasgow, UK. 13. Pediatric Gastroenterology, Erasmus MC-Sophia, Rotterdam, The Netherlands.
Abstract
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.
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.
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