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Clustering of pediatric onset inflammatory bowel disease in Finland: a nationwide register-based study

BACKGROUND: The incidence of pediatric inflammatory bowel disease (PIBD) has increased dramatically during the past decades. This implies involvement of environmental factors in etiology but lends no clues about specific agents. We evaluated clustering in time and place of residence at PIBD onset us...

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Autores principales: Nikkilä, Atte, Auvinen, Anssi, Kolho, Kaija-Leena
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9743626/
https://www.ncbi.nlm.nih.gov/pubmed/36503475
http://dx.doi.org/10.1186/s12876-022-02579-1
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author Nikkilä, Atte
Auvinen, Anssi
Kolho, Kaija-Leena
author_facet Nikkilä, Atte
Auvinen, Anssi
Kolho, Kaija-Leena
author_sort Nikkilä, Atte
collection PubMed
description BACKGROUND: The incidence of pediatric inflammatory bowel disease (PIBD) has increased dramatically during the past decades. This implies involvement of environmental factors in etiology but lends no clues about specific agents. We evaluated clustering in time and place of residence at PIBD onset using a case-control setting with comprehensive nationwide register data. METHODS: We included all PIBD cases diagnosed at ages < 18 years during 1992–2017 (3748 cases; median age of 14.6; 2316 (58%) with ulcerative colitis (UC), 1432 with Crohn’s, and 18,740 age- and sex-matched controls) and constructed complete residential histories (including coordinates) from the national database until the date of the diagnosis of the case assigned as index date for the controls. Using the coordinates of the addresses of the subjects and the diagnosis/index dates, we evaluated clustering in time and place using the Knox test. Four temporal (2, 4, 6, 12 months) and four distance (0.25, 0.5, 1, 5 km) thresholds were used, and results were calculated separately for Crohn´s disease and UC. Similar analyses were conducted using the addresses at birth and the addresses five years before the diagnosis or index date. Based on the threshold values displaying the most clustering in the Knox test, logistic regression models were built to identify whether sex, age at diagnosis or the year of diagnosis affected the probability of belonging to a cluster. To analyze clustering in time and place throughout the residential histories, we used Jacquez’s Q with an open-access python program pyjacqQ. RESULTS: The mean number of residencies until the index date was 2.91 for cases and 3.05 for controls (p = 0.0003). Knox test indicated residential clustering for UC with thresholds of 500 m between locations and time-period of four months (p = 0.004). In the regression analysis, sex, age at diagnosis or year of UC diagnosis did not show differences between the clustered and other cases. Jacquez Q analyses showed higher than expected frequency of clustered cases throughout residential histories (p < 10(− 8)). CONCLUSION: Our findings suggest that the incidence of PIBD, especially of UC, exhibits clustering in locations of residencies over time. For the clustered cases, environmental triggers warrant future studies. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12876-022-02579-1.
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spelling pubmed-97436262022-12-13 Clustering of pediatric onset inflammatory bowel disease in Finland: a nationwide register-based study Nikkilä, Atte Auvinen, Anssi Kolho, Kaija-Leena BMC Gastroenterol Research BACKGROUND: The incidence of pediatric inflammatory bowel disease (PIBD) has increased dramatically during the past decades. This implies involvement of environmental factors in etiology but lends no clues about specific agents. We evaluated clustering in time and place of residence at PIBD onset using a case-control setting with comprehensive nationwide register data. METHODS: We included all PIBD cases diagnosed at ages < 18 years during 1992–2017 (3748 cases; median age of 14.6; 2316 (58%) with ulcerative colitis (UC), 1432 with Crohn’s, and 18,740 age- and sex-matched controls) and constructed complete residential histories (including coordinates) from the national database until the date of the diagnosis of the case assigned as index date for the controls. Using the coordinates of the addresses of the subjects and the diagnosis/index dates, we evaluated clustering in time and place using the Knox test. Four temporal (2, 4, 6, 12 months) and four distance (0.25, 0.5, 1, 5 km) thresholds were used, and results were calculated separately for Crohn´s disease and UC. Similar analyses were conducted using the addresses at birth and the addresses five years before the diagnosis or index date. Based on the threshold values displaying the most clustering in the Knox test, logistic regression models were built to identify whether sex, age at diagnosis or the year of diagnosis affected the probability of belonging to a cluster. To analyze clustering in time and place throughout the residential histories, we used Jacquez’s Q with an open-access python program pyjacqQ. RESULTS: The mean number of residencies until the index date was 2.91 for cases and 3.05 for controls (p = 0.0003). Knox test indicated residential clustering for UC with thresholds of 500 m between locations and time-period of four months (p = 0.004). In the regression analysis, sex, age at diagnosis or year of UC diagnosis did not show differences between the clustered and other cases. Jacquez Q analyses showed higher than expected frequency of clustered cases throughout residential histories (p < 10(− 8)). CONCLUSION: Our findings suggest that the incidence of PIBD, especially of UC, exhibits clustering in locations of residencies over time. For the clustered cases, environmental triggers warrant future studies. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12876-022-02579-1. BioMed Central 2022-12-12 /pmc/articles/PMC9743626/ /pubmed/36503475 http://dx.doi.org/10.1186/s12876-022-02579-1 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Nikkilä, Atte
Auvinen, Anssi
Kolho, Kaija-Leena
Clustering of pediatric onset inflammatory bowel disease in Finland: a nationwide register-based study
title Clustering of pediatric onset inflammatory bowel disease in Finland: a nationwide register-based study
title_full Clustering of pediatric onset inflammatory bowel disease in Finland: a nationwide register-based study
title_fullStr Clustering of pediatric onset inflammatory bowel disease in Finland: a nationwide register-based study
title_full_unstemmed Clustering of pediatric onset inflammatory bowel disease in Finland: a nationwide register-based study
title_short Clustering of pediatric onset inflammatory bowel disease in Finland: a nationwide register-based study
title_sort clustering of pediatric onset inflammatory bowel disease in finland: a nationwide register-based study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9743626/
https://www.ncbi.nlm.nih.gov/pubmed/36503475
http://dx.doi.org/10.1186/s12876-022-02579-1
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