Skip Navigation
Skip to contents

Intest Res : Intestinal Research

IMPACT FACTOR

Articles

Page Path
HOME > Intest Res > Volume 18(4); 2020 > Article
Original Article
Inflammatory bowel diseases
Phenotypic characteristics of pediatric inflammatory bowel disease in Japan: results from a multicenter registry
Katsuhiro Arai1,orcid, Reiko Kunisaki2orcid, Fumihiko Kakuta3orcid, Shin-ichiro Hagiwara4orcid, Takatsugu Murakoshi5orcid, Tadahiro Yanagi6orcid, Toshiaki Shimizu7orcid, Sawako Kato8orcid, Takashi Ishige9orcid, Tomoki Aomatsu10orcid, Mikihiro Inoue11orcid, Takeshi Saito12orcid, Itaru Iwama13orcid, Hisashi Kawashima14orcid, Hideki Kumagai15orcid, Hitoshi Tajiri16orcid, Naomi Iwata17orcid, Takahiro Mochizuki18orcid, Atsuko Noguchi19orcid, Toshihiko Kashiwabara20orcid, Hirotaka Shimizu1orcid, Yasuo Suzuki21, Yuri Hirano1orcid, Takeo Fujiwara22orcid
Intestinal Research 2020;18(4):412-420.
DOI: https://doi.org/10.5217/ir.2019.00130
Published online: August 18, 2020

1Division of Gastroenterology, National Center for Child Health and Development, Setagaya, Japan

2Inflammatory Bowel Disease Center, Yokohama City University Medical Center, Yokohama, Japan

3Department of General Pediatrics and Gastroenterology, Miyagi Children’s Hospital, Sendai, Japan

4Division of Gastroenterology and Hepatology, Saitama Children’s Medical Center, Saitama, Japan

5Department of Gastroenterology, Tokyo Metropolitan Children’s Medical Center, Fuchu, Japan

6Department of Pediatrics and Child Health, Kurume University School of Medicine, Kurume, Japan

7Department of Pediatric and Adolescent Medicine, Juntendo University Graduate School of Medicine, Bunkyo, Japan

8Department of Pediatrics, Shinshu University School of Medicine, Matsumoto, Japan

9Department of Pediatrics, Gunma University Graduate School of Medicine, Maebashi, Japan

10Department of Pediatrics, Osaka Medical College, Takatsuki, Japan

11Department of Gastrointestinal and Pediatric Surgery, Mie University Graduate School of Medicine, Tsu, Japan

12Department of Pediatric Surgery, Chiba University Graduate School of Medicine, Chiba, Japan

13Department of Pediatrics, Okinawa Prefectural Chubu Hospital, Okinawa, Japan

14Department of Pediatrics, Tokyo Medical University, Shinjuku, Japan

15Department of Pediatrics, Jichi Medical University, Shimotsuke, Japan

16Department of Pediatrics, Osaka General Medical Center, Osaka, Japan

17Division of Infectious Disease and Immunology, Aichi Children’s Health and Medical Center, Obu, Japan

18Department of Pediatrics, Osaka Police Hospital, Osaka, Japan

19Department of Pediatrics, Akita University Graduate School of Medicine, Akita, Japan

20Department of Gastroenterology, Yamagata Prefectural Central Hospital, Yamagata, Japan

21Inflammatory Bowel Disease Center, Toho University Sakura Medical Center, Sakura, Japan

22Department of Global Health Promotion, Tokyo Medical and Dental University, Bunkyo, Japan

Correspondence to Katsuhiro Arai, Center for Pediatric Inflammatory Bowel Disease, Division of Gastroenterology, National Center for Child Health and Development, 2-10-1 Okura, Setagaya, Tokyo 157-8535, Japan. Tel: +81-3-3416-0181, Fax: +81-3-3416-2222, E-mail: arai-k@ncchd.go.jp
• Received: March 6, 2020   • Revised: April 16, 2020   • Accepted: May 17, 2020

© Copyright 2020. Korean Association for the Study of Intestinal Diseases. All rights reserved.

This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

prev next
  • 6,971 Views
  • 213 Download
  • 23 Web of Science
  • 25 Crossref
  • 26 Scopus
  • Background/Aims
    There are few published registry studies from Asia on pediatric inflammatory bowel disease (IBD). Registry network data enable comparisons among ethnic groups. This study examined the characteristics of IBD in Japanese children and compared them with those in European children.
  • Methods
    This was a cross-sectional multicenter registry study of newly diagnosed Japanese pediatric IBD patients. The Paris classification was used to categorize IBD features, and results were compared with published EUROKIDS data.
  • Results
    A total of 265 pediatric IBD patients were initially registered, with 22 later excluded for having incomplete demographic data. For the analysis, 91 Crohn’s disease (CD), 146 ulcerative colitis (UC), and 6 IBD-unclassified cases were eligible. For age at diagnosis, 20.9% of CD, 21.9% of UC, and 83.3% of IBD-unclassified cases were diagnosed before age 10 years. For CD location, 18.7%, 13.2%, 64.8%, 47.3%, and 20.9% were classified as involving L1 (ileocecum), L2 (colon), L3 (ileocolon), L4a (esophagus/stomach/duodenum), and L4b (jejunum/proximal ileum), respectively. For UC extent, 76% were classified as E4 (pancolitis). For CD behavior, B1 (non-stricturing/non-penetrating), B2 (stricturing), B3 (penetrating), and B2B3 were seen in 83.5%, 11.0%, 3.3%, and 2.2%, respectively. A comparison between Japanese and European children showed less L2 involvement (13.2% vs. 27.3%, P< 0.01) but more L4a (47.3% vs. 29.6%, P< 0.01) and L3 (64.8% vs. 52.7%, P< 0.05) involvement in Japanese CD children. Pediatric perianal CD was more prevalent in Japanese children (34.1% vs. 9.7%, P< 0.01).
  • Conclusions
    Upper gastrointestinal and perianal CD lesions are more common in Japanese children than in European children.
Inflammatory bowel disease (IBD), which includes Crohn’s disease (CD), ulcerative colitis (UC), and IBD-unclassified (IBD-U), is a chronic inflammatory condition affecting the alimentary system. IBD can have physical, psychological, and social impacts on a patient’s life [1-6]. These conditions affect millions of people globally and cause debilitating symptoms that impair function and quality of life [7-9]. The number of people with IBD is increasing worldwide, including in Asia [10-14], and up to a quarter of patients with IBD experience disease onset during childhood [15]. The characteristics of pediatric IBD have been described in studies from single large institutions or studies based on nationwide and regional registries [11,14,16-26]; however, few studies were from Asia. Additionally, although young children with IBD have a higher incidence of isolated extensive colonic disease [27], few studies have investigated the phenotypic characteristics of Asian children with IBD in the multicenter prospective registry setting. To fill this gap in knowledge, the current study used the Japanese Pediatric Inflammatory Bowel Disease Registry (JPIBD-R) network and examined the cross-sectional registry of newly diagnosed pediatric IBD patients. The study characterized the features of IBD using the Paris classification [28] and compared the results with published European registry (EUROKIDS) network data [18,21].
1. Ethical Considerations
The study was approved by the institutional review boards at all participating institutions. Informed consent was obtained from the parents of young children, and signed youth consent was obtained from patients enrolled with the JPIBD-R, where appropriate.
2. JPIBD-R
The JPIBD-R network was formed in 2012 by 15 institutions in Japan. The JPIBD-R is a cross-sectional registry of newly diagnosed Japanese pediatric IBD patients. The JPIBD-R started enrolling patients in November 2012. As of December 2015, 20 institutions are actively involved in the network, with 265 patients registered electronically. Most participating institutions are tertiary children’s hospitals or university hospitals capable of diagnosing and managing pediatric IBD using imaging studies or pathology. Although 4 of the 20 institutions are community hospitals, their pediatricians are active members of the Japanese Society for Pediatric IBD.
3. Patient Eligibility
Patients who were 17 years old or younger at the time of diagnosis were eligible for enrollment. The Porto criteria was applied for the diagnosis of IBD, including UC, CD, and indeterminate colitis [29]. After the revision of the Porto criteria in 2014 [30], the term “indeterminate colitis” was replaced with IBD-U. This is because the Paris classification, which we used to characterize the phenotypic features of our patients, uses the term “IBD-U” instead of “indeterminate colitis.” The participating institutions were encouraged to apply the revised Porto criteria for the diagnosis of IBD.
Besides the assessments of clinical signs and symptoms, complete examinations for the diagnosis of IBD included a colonoscopy with ileal intubation, an upper gastrointestinal (GI) endoscopy, and small-bowel imaging. In patients with definite UC, upper GI endoscopy and small-bowel imaging may not be performed. For small-bowel imaging, small-bowel follow-through, magnetic resonance enterography, wireless capsule endoscopy, computed tomography, ultrasonography, and balloon-assisted enteroscopy were used to evaluate small-bowel lesions. Multiple biopsies from all segments of the GI tract were prepared for histologic evaluation.
One exclusion criterion was incomplete demographic data. Moreover, patients who did not undergo an upper GI endoscopy or total colonoscopy, or did not have at least one small-bowel imaging finding for the diagnosis of CD and IBD-U were excluded. Those without ileal intubation were included if other small-bowel imaging examinations were complete. Patients who did not undergo a total colonoscopy for the diagnosis of UC were excluded. Patients who did not undergo an upper GI endoscopy and ileal intubation, or did not have small-bowel imaging data were included if the diagnosing physician had based the diagnosis of UC on clinical, total colonoscopy, and histologic findings.
Demographic data included date of birth, sex, body weight, height, parental height, date of disease onset, symptoms at onset, diagnosis of IBD, date of diagnosis, family history (first-degree relatives with IBD), complications, and disease location and behavior according to the Paris classification for CD, as well as the extent and severity of the disease according to the Paris classification for UC.
4. Paris Classification
The Paris classification was published in 2010 as an evidence-based pediatric modification of the Montreal classification [28]. In the current study, the Paris classification was used to classify IBD, age at diagnosis and delayed growth to classify all IBD, disease location and behavior to classify CD, and disease extent and severity to classify UC. A1a was defined as IBD diagnosed before the age of 10 years, and A1b was defined as IBD diagnosed after the age of 10 years but before the age of 17 years. A2 was defined as IBD diagnosed after the age of 17 years but before the age of 40 years. We further categorized patients whose disease was diagnosed before the age of 6 years as having very early onset (VEO)-IBD.
For CD location, the results of appropriate imaging studies, including upper GI endoscopy, colonoscopy with or without ileal intubation, and at least one small-bowel imaging examination, were used. The location was categorized as L1 (involving one-third of the distal ileum only with limited or no cecal disease), L2 (colonic involvement only), L3 (involvement of both the terminal ileum and colon), L4a (esophagogastroduodenal disease), and L4b (involvement of the jejunum and/or proximal two-third of the ileum). As previously reported [18], L4a (upper GI lesion) was defined as the presence of ulcerations, erosions/aphthae, cobblestones, and/or stenosis. According to endoscopic findings, the extent of UC was categorized as E1 (proctitis only), E2 (left-sided colitis, distal to the splenic flexure), E3 (extensive colitis, distal to the hepatic flexure), and E4 (pancolitis proximal to the hepatic flexure).
Specific findings on rectal sparing, backwash ileitis, and cecal patch were not compiled in this registry network.
CD behavior was categorized according to the presence of strictures, intra-abdominal fistulas, and/or intra-abdominal abscesses into B1 (non-stricturing, non-penetrating disease), B2 (stricturing disease), B3 (penetrating disease excluding isolated perianal or rectovaginal fistulas), and B2B3 (presence of both B2 and B3 phenotypes in the same patient). In addition, p (perianal disease modifier) was defined as the presence of a fistula, anal canal ulcer, or abscess. Isolated skin tags, fissures, or hemorrhoids were not considered perianal disease.
UC severity was defined as a pediatric UC activity index score of ≥ 65, and was categorized as S0 (never severe) or S1 (ever severe) [31].
Growth delay at diagnosis, G1, was defined as the difference between the observed height z-score and the predicted z-score using the mid-parental height formula of > 2.0, or the difference between the observed height z-score and the pre-illness height z-score of > 1.0. Normal growth at diagnosis, G0, was assigned to patients who did not meet the above criteria.
Implementation of the revised Porto criteria and the Paris classification was recommended to the participating institutions at annual face-to-face meetings and in bimonthly newsletters.
5. Comparison of Disease by Age Group
Disease diagnosis, family history, location and CD profile, and UC extent and severity in the JPIBD-R network were compared among 3 age groups, as follows: diagnosis before the age of 6 years (VEO-IBD), diagnosis between the ages of 6 and 9 years, and diagnosis between the ages of 10 and 17 years.
6. Comparison of JPIBD-R with EUROKIDS
The results of the JPIBD-R were compared with those of the EUROKIDS registry published in 2013 [18,21]. Age at diagnosis, disease location and disease behavior for CD, and disease extent for UC were compared.
7. Statistics
Descriptive data were calculated as percentages for discrete findings. Age at diagnosis was presented as mean ± standard deviation. Duration between the disease onset and the diagnosis was presented as median and interquartile range. To test differences between more than 2 categories of disease location or disease behavior, the chi-square test or Fisher exact test was used, where appropriate. Two-sample t-tests were used to compare 2 continuous variables.
For disease behavior of CD, and growth of CD and UC, data were expressed as the median and interquartile range for their skewed distribution. The duration between the disease onset and the diagnosis for these variables were compared using the Mann–Whitney U test.
To identify the variables of perianal modifiers, logistic regression analysis was performed.
Statistical significance was defined as a two-tailed P-value of < 0.05 using SPSS version 17.0 for Windows (SPSS Inc., Chicago, IL, USA) and EZR (Jichi Medical University, Saitama, Japan).
1. Patients’ Baseline Demographic Variables
Between November 2012 and December 2015, 265 patients from 20 independent institutions (16 tertiary children’s hospitals or university hospitals and 4 community hospitals with pediatric wards) were registered using the web-based registration system of the JPIBD-R. Among the 265 patients, 22 were excluded for incomplete demographic data. Among the remaining 243 patients, 91 were diagnosed with CD, 146 with UC, and 6 with IBD-U (Fig. 1). The baseline demographic features of the patients are summarized in Table 1.
2. Extraintestinal Manifestations
The extraintestinal manifestations or comorbidities at CD diagnosis included arthritis (n = 3), primary sclerosing cholangitis (n = 2), erythema nodosum (n = 1), splenic abscess (n = 1), vitiligo vulgaris (n = 1), scleritis (n = 1), and Weber–Christian disease (n = 1). For UC, primary sclerosing cholangitis (n = 1) and pyoderma gangrenosum (n = 1) were noted as extraintestinal manifestation.
3. Disease Location and Extent
The location and extent of the disease at the time of diagnosis for both CD and UC, based on the Paris classification [28], are shown in Table 2. Children with VEO-CD showed less L3 involvement than older children with CD. In UC, children with VEO-UC showed more extensive disease than older children; however, the difference was not statistically significant.
4. Disease Behavior in CD
The disease behavior of CD is shown in Table 1. Among the 19 children under the age of 10 years, 1 patient (5.3%) was categorized as B2B3 and the rest (94.7%) as B1. Among those between 10 and 17 years of age, 13.9% were categorized as B2, 4.2% as B3, and 1.4% as B2B3. The duration between the disease onset and the diagnosis was longer in B2, B3, or B2B3 (194 days [105.5–312.5]) compared to B1 (119 days [58.0–274.5]) (P= 0.183).
For perianal lesions, 31 of the 91 cases of CD patients (34.1%) were defined as having perianal disease modifiers (Table 2). The duration between the disease onset and diagnosis was significantly shorter in p (+) (92 days [55.0–198.5]) compared to p (–) (155 days [115.5–810.5]) (P< 0.01).
5. Disease Severity in UC
The disease severity at the time of diagnosis was evaluated in 98.6% of the 146 UC patients (144 of 146 cases). Among these, S1 (defined as a pediatric UC activity index score of ≥ 65) was noted in 21.5% (31 of 144 cases). Only 1 of 16 patients (6.3%) in the 6–9 years age range and none of those younger than 6 years were defined as having S1; however, 30 of 112 patients (26.8%) in the 10–17 years age range were defined as having S1 (P< 0.01).
6. Growth
At the time of diagnosis, 79 of 91 total CD cases were evaluated for impaired or delayed growth, and it was observed in 7.6% of cases (6/79). The duration between disease onset and diagnoses was equivalent between categories G1 (169.5 days [52.3–661.0]) and G0 (110.5 days [59.8–260.3]) (P= 0.701). In UC cases, 128 patients of the 146 were evaluated at the time of diagnosis, and delayed or impaired growth was observed in 7.8% of cases (10/128). The duration between the disease onset and the diagnosis was longer in category G1 (144 days [63.0–226.0]) compared to G0 (62.5 days [30.3–170.5]) (P= 0.183).
7. Comparison between Japanese and European Children with IBD
The results of comparisons between JPIBD-R and EUROKIDS for disease location and behavior of CD are summarized in Table 3. Age at the time of diagnosis was similar between JPIBD-R and EUROKIDS for both CD and UC (Fig. 2). There was significantly less L2 involvement (P< 0.01) but more L3 (P< 0.05) and L4a (P< 0.01) involvement in JPIBD-R than in EUROKIDS. There were no significant differences in disease behaviors (B1, B2, B3, and B2B3) except that perianal disease modifiers were significantly prevalent in JPIBD-R (P< 0.001). UC extent was similar between JPIBD-R and EUROKIDS (Table 3).
8. Factors Associated with Perianal Disease Modifiers
Logistic regression analysis was performed by factoring perianal disease modifiers as a dependent variable, whereas age, sex, disease location, and disease behavior were taken as independent variables. Table 4 shows the adjusted odds ratios, 95% confidence intervals, and P-values. Perianal disease was significantly more prevalent in children with L4b than in those without L4b (P< 0.05). The estimated power of association between perianal lesions and L4b was 67%.
To our knowledge, this is the largest multicenter cross-sectional registry study on IBD phenotypes in Asian children. Applying uniform classification criteria enabled us to conduct a cross-ethnic comparison of IBD between Asian and European cohorts in a prospective setting. We found a higher incidence of upper GI (L4a), ileocolonic (L3), and perianal involvement in Japanese children with CD than in European children [18]. We also found less colonic involvement (L2) in Japanese children.
In the EUROKIDS studies [18,21], up to 14% of UC cases and 52% of CD cases were excluded from the analyses because of an incomplete diagnosis or missing data. In contrast, only 4% of UC cases and 9% of CD cases were excluded from analysis in the JPIBD-R. This may be because, in this single-nation registry setting, there were fewer institutions from which to compile data than in the pan-European setting [18,21]. Additionally, the availability of imaging modalities at most institutions in Japan may have strengthened our findings.
For disease location, children with CD in the JPIBD-R showed less colonic involvement but more upper GI, ileocolonic, and perianal involvement than European children [18,21]. Younger CD patients show more colonic involvement than older patients; however, the age distributions in JPIBD-R and EUROKIDS were similar. Children in the JPIBD-R showed a higher prevalence of L4a (upper GI disease) than those in EUROKIDS; however, a subgroup analysis of EUROKIDS revealed no significant difference in L4a by ethnicity. According to a EUROKIDS study [18], L4b was more prevalent in Asians; however, in the JPIBD-R population, L4b seemed less prevalent.
Interestingly, children with CD in the JPIBD-R had a higher incidence of perianal disease than European children [18], and logistic regression analysis showed that perianal disease was more prevalent in those with L4b. The incidence of perianal CD at diagnosis in children in North America and Europe ranged between 3% and 15% [16,18,19,22,24]. The incidence rate based on the JPIBD-R was more than three times higher than that in EUROKIDS [18]. Large data from a prospective observational cohort, the ImproveCareNow Network, revealed a racial difference in the incidence of perianal disease [32]. Blacks had significantly higher incidence of perianal disease than whites (26% vs. 20%). The incidence rate of perianal disease in this Asian cohort was 24%. However, the patients included those who had developed perianal disease during the follow-up, and the incidence at diagnosis remained < 10% in all races including Asian. Contrarily, a prospective clinical comparison of adults with CD in Australia and Hong Kong reported a higher incidence of perianal disease in Hong Kong (15.8% vs. 35.4%) [33]. Similarly, a population-based study involving 9 countries in the Asia-Pacific region reported a higher incidence of perianal disease in Asia than in Australia (19% vs. 2%), with the incidence being the highest in mainland China compared with the rest of Asia (33%–66% vs. 10%–16%) [14]. A small single-institution retrospective review of 30 South Korean children with CD also revealed a higher prevalence of perianal disease (33.3%) [20]. It is possible that there may be a genetic component that predisposes a person to perianal lesions, and cross-ethnic genetic comparisons should be performed.
In UC, the extent of disease at diagnosis was similar between JPIBD-R and EUROKIDS. However, EUROKIDS reported the incidence of rectal sparing, backwash ileitis, and upper GI involvement, whereas our registry network analyses failed to itemize these features. For the severity of UC, although children with VEO-UC seemed to be severe and refractory to medication compared with the older population [33], none of the VEO-UC cases were considered severe UC (pediatric UC activity index score of ≥ 65) at diagnosis.
This study had some limitations. First, JPIBD-R is not a population-based cohort registry but a cross-sectional registry. This means that there could be selection bias. However, because of the shortage of pediatric gastroenterologists in Japan, the available ones need to manage pediatric IBD cases with wide-ranging severities. Therefore, the data on the phenotypes of pediatric IBD would reflect population-based data. Second, there were relatively small numbers of patients in each subgroup, which may have limited the statistical analyses. Finally, the lack of a central evaluation system for endoscopic and histologic findings in this registry may have allowed for inter-observer variation. However, we considered the reliability of diagnosis to be relatively high because the participating institutions were able to perform the required imaging studies and were able to adequately interpret the histopathology of mucosal biopsies.
In conclusion, a thorough systematic evaluation of IBD in children by using a prospective multicenter registry in Japan revealed a different disease distribution between Japanese and European children with CD. Less colonic, but more upper GI and perianal, involvement was observed in the Japanese pediatric CD population. The results suggest that environmental and genetic factors may contribute to the phenotype of CD. Future studies with a larger number of pediatric patients and with a longer follow-up are needed to strengthen the current findings. We believe that data from genotype–phenotype studies may reveal different IBD distributions among ethnic populations worldwide. Attention should be paid to the differences among ethnic groups in future genotype–phenotype studies with cross-cultural participation. Data from genotype–phenotype studies will provide support for better IBD management in therapeutic settings.

FINANCIAL SUPPORT

This work was supported in part by a Grant-in-Aid for the National Center for Child Health and Development, and by a Health and Labour Science Research Grant for Research on Intractable Diseases from the Ministry of Health, Labour and Welfare of Japan.

CONFLICT OF INTEREST

No potential conflict of interest relevant to this article was reported.

AUTHOR CONTRIBUTION

Conceptualization: Arai K, Shimizu T, Shimizu H, Suzuki Y, Fujiwara T. Data curation: Arai K, Hirano Y. Formal analysis: Hirano Y, Fujiwara T. Funding acquisition: Arai K, Suzuki Y. Methodology: Arai K, Kakuta F, Shimizu T, Aomatsu T, Inoue M, Saito T, Shimizu H, Hirano Y, Fujiwara T. Project administration: Arai K, Hirano Y. Visualization: Hirano Y. Writing – original draft: Arai K. Writing – review and editing: Arai K, Kunisaki R, Hirano Y. Approval of final manuscript: all authors.

The authors thank Dr. Julian Tang from the Department of Education for Clinical Research, National Center for Child Health and Development, Japan, for reviewing this manuscript. The authors also thank Dr. Eisuke Inoue, Division of Biostatistics, Center for Clinical Research and Development, National Center for Child Health and Development, Japan, for a critical review of the statistical analyses.
Fig. 1.
Study flowchart. Flowchart showing patient registration and inclusion/exclusion from analysis. GI, gastrointestinal; CD, Crohn’s disease; UC, ulcerative colitis; IBD, inflammatory bowel disease; IBD-U, IBD-unclassified.
ir-2019-00130f1.jpg
Fig. 2.
Age at diagnosis of inflammatory bowel disease (IBD) according to Paris classification criteria. A1a, IBD diagnosed before age 10 years; A1b, IBD diagnosed at age ≥10 years but before age 17 years; A2, IBD diagnosed at age ≥17 years but before age 40 years; CD, Crohn’s disease; UC, ulcerative colitis; JPIBD-R, Japan Pediatric Inflammatory Bowel Disease Registry; EUROKIDS, EUROKIDS registry.
ir-2019-00130f2.jpg
Table 1.
Demographics of Newly Diagnosed Pediatric IBD Patients
Demographics All (n = 243)
CD (n = 91)
UC (n = 146)
IBD-U (n=6)
0–5 yr 6–9 yr 10–17 yr 0–5 yr 6–9 yr 10–17 yr 0–5 yr 6–9 yr 10–17 yr 0–5 yr 6–9 yr 10–17 yr
No. of patients 27 (11.1) 29 (11.9) 187 (77.0) 7 (7.7) 12 (13.2) 72 (79.1) 16 (11.0) 16 (11.0) 114 (78.1) 4 (66.7) 1 (16.7) 1 (16.7)
Sex, M/F 136/107 54/37 79/67 3/3
Ratio of M:F by age group 13:14 16:13 107:80 3:4 9:03 42:30 8:8 6:10 65:49 2:2 1:0 0:1
Age at diagnosis (yr) 11.0 ± 3.8 11.2 ±11.2±3.4 11.1 ± 3.7 4.3 ± 5.6
Duration: disease onset–diagnosis (day) 83.0 (35.0–206.0) 121.0 (59.3–294.0) 63.0 (31.0–171.0) 264.5 (31.0–640.5)
Family historya 24/238 (10.1) 9/89 (10.1) 14/142 (9.9) 1/6 (16.7)
Family history by age group 2/23 (8.7) 2/29 (6.9) 20/185 (10.8) 0/5 (0) 1/12 (8.3) 8/72 (11.1) 2/14 (14.3) 1/16 (6.3) 11/112 (9.8) 0/4 (0) 0/1 (0) 1/1 (100)

Values are presented as number (%), mean±standard deviation, or median (interquartile range).

a Family history means having first-degree relatives (parents or siblings) with IBD.

IBD, inflammatory bowel disease; CD, Crohn’s disease; UC, ulcerative colitis; IBD-D, IBD-unclassified; M, male; F, female.

Table 2.
Location of CD and Extent of UC by Age Group According to the Paris Classification
Variable All Age group (yr)
P-valuea
0–5 6–9 10–17
CD location (n = 91)
 L1 involving 17 (18.7) 2 (28.6) 2 (16.7) 13 (18.1) 0.611
 L2 involving 12 (13.2) 3 (42.9) 2 (16.7) 7 (9.7) 0.046
 L3 involving 59 (64.8) 2 (28.6) 7 (58.3) 50 (69.4) 0.092
 L4a involving 43 (47.3) 2 (28.6) 5 (41.7) 36 (50.0) 0.440
 L4b involving 19 (20.9) 1 (14.3) 4 (33.3) 14 (19.4) 1.000
CD behavior (n = 91)
 B1 76 (83.5) 6 (85.7) 12 (100) 58 (80.6) 1.000
 B2 10 (11.0) 0 0 10 (13.9) 1.000
 B3 3 (3.3) 0 0 3 (4.2) 1.000
 B2B3 2 (2.2) 1 (14.3) 0 1 (1.4) 0.149
 p 31 (34.1) 2 (28.6) 5 (41.7) 24 (33.3) 1.000
UC extent (n = 146)
 E1 10 (6.8) 0 2 (12.5) 8 (7.0) 0.602
 E2 18 (12.3) 1 (6.3) 2 (12.5) 15 (13.2) 0.694
 E3 7 (4.8) 1 (6.3) 0 6 (5.3) 0.564
 E4 111 (76.0) 14 (87.5) 12 (75.0) 85 (74.6) 0.359

Values are presented as number (%).

a 0–5 years versus 6–9 and 10–17 years (chi-square test; P<0.05).

CD, Crohn’s disease; UC, ulcerative colitis.

Table 3.
Comparisons of Location and Behavior of CD and Extent of UC between JPIBD-R and EUROKIDS
Paris classification JPIBD-R EUROKIDS P-value
CD location
 No. 91 582
 Total involving L1 17 (18.7) 95 (16.3) 0.548
  L1 8 (8.8) 46 (7.9) 0.835
  L1+L4a 5 (5.5) 21 (3.6) 0.379
  L1+L4b 4 (4.4) 20 (3.4) 0.552
  L1+L4a+L4b 0 8 (1.4) 0.607
 Total involving L2 12 (13.2) 159 (27.3) < 0.010
  L2 8 (8.8) 106 (18.2) < 0.010
  L2+L4a 4 (4.4) 24 (4.1) 0.783
  L2+L4b 0 22 (3.8) 0.059
  L2+L4a+L4b 0 7 (1.2) 0.602
 Total involving L3 59 (64.8) 307 (52.7) < 0.050
  L3 25 (27.5) 161 (27.7) 1.000
  L3+L4a 22 (24.2) 83 (14.3) < 0.050
  L3+L4b 1 (1.1) 38 (6.5) < 0.050
  L3+L4a+L4b 11 (12.1) 25 (4.3) < 0.010
 Total involving L4a 43 (47.3) 172 (29.6) < 0.010
  L4a 0 1 (0.2) 1.000
 Total involving L4b 19 (20.9) 140 (24.1) 0.596
  L4b 2 (2.2) 17 (2.9) 0.492
 Total involving L4a+L4b 12 (13.2) 43 (7.4) 0.066
  L4a+L4b 1 (1.1) 3 (0.5) 0.441
CD behavior
 No. 91 1,177
 B1 76 (83.5) 959 (81.5) 0.779
 B2 10 (11.0) 144 (12.2) 0.868
 B3 3 (3.3) 55 (4.7) 0.794
 B2B3 2 (2.2) 19 (1.6) 0.659
 p 31 (34.1) 114 (9.7) < 0.001
UC extent
 No. 146 578
 E1 10 (6.8) 27 (4.7) 0.294
 E2 18 (12.3) 104 (18) 0.109
 E3 7 (4.8) 50 (8.7) 0.167
 E4 111 (76.0) 397 (68.7) 0.086

Values are presented as number (%).

CD, Crohn’s disease; UC, ulcerative colitis; JPIBD-R, Japan Pediatric Inflammatory Bowel Disease registry.

Table 4.
Logistic Regression Analysis for Perianal Disease Modifiers
Dependent variable Reference OR 95% CI P-value
Age (yr)
 6–9 0–5 2.80 0.21–36.60 0.432
 10–17 0–5 2.45 0.23–25.70 0.454
Sex (male vs. female) Female 1.57 0.58–4.26 0.374
Disease location
 L2 No L2 2.03 0.31–13.30 0.459
 L3 No L3 2.41 0.63–9.26 0.202
 L4a No L4a 0.66 0.24–1.80 0.412
 L4b No L4b 3.74 1.15–12.20 0.029
Disease behavior
 B2 B1 0.74 0.16–3.46 0.700
 B3 B1 1.00 0.08–12.50 0.997

OR, odds ratio; CI, confidence interval.

  • 1. Baumgart DC, Sandborn WJ. Crohn’s disease. Lancet 2012;380:1590–1605.ArticlePubMed
  • 2. Jelenova D, Prasko J, Ociskova M, et al. Quality of life in adolescents with inflammatory bowel disease and their parents: comparison with healthy controls. Neuro Endocrinol Lett 2015;36:787–792.PubMed
  • 3. Nicholas DB, Otley A, Smith C, Avolio J, Munk M, Griffiths AM. Challenges and strategies of children and adolescents with inflammatory bowel disease: a qualitative examination. Health Qual Life Outcomes 2007;5:28.ArticlePubMedPMCPDF
  • 4. Ordás I, Eckmann L, Talamini M, Baumgart DC, Sandborn WJ. Ulcerative colitis. Lancet 2012;380:1606–1619.ArticlePubMed
  • 5. Otley AR, Griffiths AM, Hale S, et al. Health-related quality of life in the first year after a diagnosis of pediatric inflammatory bowel disease. Inflamm Bowel Dis 2006;12:684–691.ArticlePubMed
  • 6. Viazis N, Mantzaris G, Karmiris K, et al. Inflammatory bowel disease: Greek patients’ perspective on quality of life, information on the disease, work productivity and family support. Ann Gastroenterol 2013;26:52–58.PubMedPMC
  • 7. Burisch J, Vardi H, Pedersen N, et al. Costs and resource utilization for diagnosis and treatment during the initial year in a European inflammatory bowel disease inception cohort: an ECCO-EpiCom Study. Inflamm Bowel Dis 2015;21:121–131.ArticlePubMed
  • 8. Niewiadomski O, Studd C, Hair C, et al. Health care cost analysis in a population-based inception cohort of inflammatory bowel disease patients in the first year of diagnosis. J Crohns Colitis 2015;9:988–996.ArticlePubMedPDF
  • 9. Sin AT, Damman JL, Ziring DA, et al. Out-of-pocket cost burden in pediatric inflammatory bowel disease: a cross-sectional cohort analysis. Inflamm Bowel Dis 2015;21:1368–1377.ArticlePubMedPMC
  • 10. Benchimol EI, Fortinsky KJ, Gozdyra P, Van den Heuvel M, Van Limbergen J, Griffiths AM. Epidemiology of pediatric inflammatory bowel disease: a systematic review of international trends. Inflamm Bowel Dis 2011;17:423–439.ArticlePubMed
  • 11. Heyman MB, Kirschner BS, Gold BD, et al. Children with early-onset inflammatory bowel disease (IBD): analysis of a pediatric IBD consortium registry. J Pediatr 2005;146:35–40.ArticlePubMed
  • 12. Ishige T, Tomomasa T, Takebayashi T, et al. Inflammatory bowel disease in children: epidemiological analysis of the nationwide IBD registry in Japan. J Gastroenterol 2010;45:911–917.ArticlePubMedPDF
  • 13. Martín-de-Carpi J, Rodríguez A, Ramos E, et al. Increasing incidence of pediatric inflammatory bowel disease in Spain (1996-2009): the SPIRIT Registry. Inflamm Bowel Dis 2013;19:73–80.ArticlePubMed
  • 14. Ng SC, Tang W, Ching JY, et al. Incidence and phenotype of inflammatory bowel disease based on results from the Asia-Pacific Crohn’s and colitis epidemiology study. Gastroenterology 2013;145:158–165.ArticlePubMed
  • 15. Kelsen J, Baldassano RN. Inflammatory bowel disease: the difference between children and adults. Inflamm Bowel Dis 2008;14(Suppl 2): S9–S11.ArticlePubMed
  • 16. Buderus S, Scholz D, Behrens R, et al. Inflammatory bowel disease in pediatric patients: characteristics of newly diagnosed patients from the CEDATA-GPGE Registry. Dtsch Arztebl Int 2015;112:121–127.PubMedPMC
  • 17. Castro M, Papadatou B, Baldassare M, et al. Inflammatory bowel disease in children and adolescents in Italy: data from the pediatric national IBD register (1996-2003). Inflamm Bowel Dis 2008;14:1246–1252.ArticlePubMed
  • 18. de Bie CI, Paerregaard A, Kolacek S, et al. Disease phenotype at diagnosis in pediatric Crohn’s disease: 5-year analyses of the EUROKIDS Registry. Inflamm Bowel Dis 2013;19:378–385.ArticlePubMed
  • 19. Kugathasan S, Judd RH, Hoffmann RG, et al. Epidemiologic and clinical characteristics of children with newly diagnosed inflammatory bowel disease in Wisconsin: a statewide population-based study. J Pediatr 2003;143:525–531.ArticlePubMed
  • 20. Lee HA, Suk JY, Choi SY, et al. Characteristics of pediatric inflammatory bowel disease in Korea: comparison with EUROKIDS data. Gut Liver 2015;9:756–760.ArticlePubMedPMCPDF
  • 21. Levine A, de Bie CI, Turner D, et al. Atypical disease phenotypes in pediatric ulcerative colitis: 5-year analyses of the EUROKIDS Registry. Inflamm Bowel Dis 2013;19:370–377.ArticlePubMed
  • 22. Müller KE, Lakatos PL, Kovacs JB, et al. Baseline characteristics and disease phenotype in inflammatory bowel disease. J Pediatr Gastroenterol Nutr 2016;62:50–55.ArticlePubMed
  • 23. Urlep D, Trop TK, Blagus R, Orel R. Incidence and phenotypic characteristics of pediatric IBD in northeastern Slovenia, 2002-2010. J Pediatr Gastroenterol Nutr 2014;58:325–332.ArticlePubMed
  • 24. White JM, O’Connor S, Winter HS, et al. Inflammatory bowel disease in African American children compared with other racial/ethnic groups in a multicenter registry. Clin Gastroenterol Hepatol 2008;6:1361–1369.ArticlePubMedPMC
  • 25. De Greef E, Hoffman I, Smets F, et al. Paediatric Crohn disease: disease activity and growth in the BELCRO cohort after 3 years follow-up. J Pediatr Gastroenterol Nutr 2016;63:253–258.ArticlePubMed
  • 26. Brückner A, Werkstetter KJ, de Laffolie J, et al. Incidence and risk factors for perianal disease in pediatric Crohn disease patients followed in CEDATA-GPGE Registry. J Pediatr Gastroenterol Nutr 2018;66:73–78.ArticlePubMed
  • 27. Day AS, Ledder O, Leach ST, Lemberg DA. Crohn’s and colitis in children and adolescents. World J Gastroenterol 2012;18:5862–5869.ArticlePubMedPMC
  • 28. Levine A, Griffiths A, Markowitz J, et al. Pediatric modification of the Montreal classification for inflammatory bowel disease: the Paris classification. Inflamm Bowel Dis 2011;17:1314–1321.ArticlePubMed
  • 29. IBD Working Group of the European Society for Paediatric Gastroenterology, Hepatology and Nutrition. Inflammatory bowel disease in children and adolescents: recommendations for diagnosis: the Porto criteria. J Pediatr Gastroenterol Nutr 2005;41:1–7.ArticlePubMed
  • 30. Levine A, Koletzko S, Turner D, et al. ESPGHAN revised porto criteria for the diagnosis of inflammatory bowel disease in children and adolescents. J Pediatr Gastroenterol Nutr 2014;58:795–806.ArticlePubMed
  • 31. Turner D, Otley AR, Mack D, et al. Development, validation, and evaluation of a pediatric ulcerative colitis activity index: a prospective multicenter study. Gastroenterology 2007;133:423–432.ArticlePubMed
  • 32. Adler J, Dong S, Eder SJ, Dombkowski KJ, ImproveCareNow Pediatric IBD Learning Health System. Perianal Crohn disease in a large multicenter pediatric collaborative. J Pediatr Gastroenterol Nutr 2017;64:e117–e124.ArticlePubMed
  • 33. Prideaux L, Kamm MA, De Cruz P, et al. Comparison of clinical characteristics and management of inflammatory bowel disease in Hong Kong versus Melbourne. J Gastroenterol Hepatol 2012;27:919–927.ArticlePubMed

Figure & Data

REFERENCES

    Citations

    Citations to this article as recorded by  
    • Long‐term clinical and endoscopic outcomes of ustekinumab in pediatric Crohn's disease with anti‐tumor necrosis factor failure
      Yoko Yamamoto, Ichiro Takeuchi, Hirotaka Shimizu, Hiroki Fujikawa, Masanori Toda, Eri Miyata, Hiroaki To, Satoru Nagata, Katsuhiro Arai
      Journal of Gastroenterology and Hepatology.2025; 40(1): 123.     CrossRef
    • Outcome of pediatric inflammatory bowel disease in Asian children: a multinational 1-year follow-up study
      Pornthep Tanpowpong, Suporn Treepongkaruna, James Guoxian Huang, Kee Seang Chew, Karen Sophia Calixto Mercado, Almida Reodica, Shaman Rajindrajith, Wathsala Hathagoda, Yoko Kin Yoke Wong, Way Seah Lee, Marion Margaret Aw
      Clinical and Experimental Pediatrics.2025; 68(3): 247.     CrossRef
    • Prognosis of pediatric ulcerative colitis after infliximab failure: A multicenter registry‐based cohort study
      Ryusuke Nambu, Takahiro Kudo, Nao Tachibana, Hirotaka Shimizu, Tatsuki Mizuochi, Sawako Kato, Mikihiro Inoue, Hideki Kumagai, Takashi Ishige, Reiko Kunisaki, Atsuko Noguchi, Toshifumi Yodoshi, Shin‐Ichiro Hagiwara, Shigeo Nishimata, Fumihiko Kakuta, Takes
      Journal of Gastroenterology and Hepatology.2024; 39(2): 312.     CrossRef
    • Prevalence of Inflammatory Bowel Disease Unclassified, as Estimated Using the Revised Porto Criteria, among Korean Pediatric Patients with Inflammatory Bowel Disease
      Sung Hee Lee, Minsoo Shin, Seo Hee Kim, Seong Pyo Kim, Hyung-Jin Yoon, Yangsoon Park, Jaemoon Koh, Seak Hee Oh, Jae Sung Ko, Jin Soo Moon, Kyung Mo Kim
      Pediatric Gastroenterology, Hepatology & Nutrition.2024; 27(4): 206.     CrossRef
    • Clinical Efficacy and Future Application of Indigo Naturalis in the Treatment of Ulcerative colitis
      Dianzhen Wu, Qi Huang, Yingbi Xu, Ruiyi Cao, Ming Yang, Jin Xie, Dingkun Zhang
      Journal of Ethnopharmacology.2024; : 118782.     CrossRef
    • Validation of the simplified PIBD‐classes criteria: A single‐center retrospective study
      Yoshikazu Miura, Shin‐ichiro Hagiwara, Keinosuke Hizuka, Ryutaro Saura, Ayaha Hata, Takatoshi Maeyama, Yuri Etani
      Pediatrics International.2024;[Epub]     CrossRef
    • Comparison of Clinical Outcomes in Pediatric Patients with Ileocolonic Crohn Disease Treated with Infliximab Versus Adalimumab
      Eliana Fanous, Tal Marshanski, Noa Tal, Manar Matar, Yael Weintraub, Raanan Shamir, Dror S. Shouval
      Journal of Pediatric Gastroenterology & Nutrition.2023; 77(3): 358.     CrossRef
    • Caracterización clínica y terapéutica de una cohorte multicéntrica de pacientes con enfermedad inflamatoria intestinal en Colombia
      Viviana Parra-Izquierdo, Cristian Flórez Sarmiento, Juan Sebastián Frías-Ordoñez, Melquicedec Vargas, Joshua Kock, Natalia Lozano Escobar, Juan Ricardo Márquez
      Gastroenterología y Hepatología.2023; 46(8): 585.     CrossRef
    • Potential of Gut Microbe-Derived Extracellular Vesicles to Differentiate Inflammatory Bowel Disease Patients from Healthy Controls
      Min Heo, Young Soo Park, Hyuk Yoon, Nam-Eun Kim, Kangjin Kim, Cheol Min Shin, Nayoung Kim, Dong Ho Lee
      Gut and Liver.2023; 17(1): 108.     CrossRef
    • Medical management of pediatric inflammatory bowel disease in the Asia‐Pacific region: A position paper by the Asian Pan‐Pacific Society for Pediatric Gastroenterology, Hepatology, and Nutrition (APPSPGHAN) PIBD Working Group
      Way Seah Lee, Katsuhiro Arai, George Alex, Suporn Treepongkaruna, Kyung Mo Kim, Chee Liang Choong, Karen S. C. Mercado, Andy Darma, Anshu Srivastava, Marion M. Aw
      Journal of Gastroenterology and Hepatology.2023; 38(4): 523.     CrossRef
    • Clinical outcome of ulcerative colitis with severe onset in children: a multicenter prospective cohort study
      Ryusuke Nambu, Katsuhiro Arai, Takahiro Kudo, Takatsugu Murakoshi, Reiko Kunisaki, Tatsuki Mizuochi, Sawako Kato, Hideki Kumagai, Mikihiro Inoue, Takashi Ishige, Takeshi Saito, Atsuko Noguchi, Toshifumi Yodoshi, Shin-Ichiro Hagiwara, Naomi Iwata, Shigeo N
      Journal of Gastroenterology.2023; 58(5): 472.     CrossRef
    • Mucosal immune systems of pediatric inflammatory bowel disease: A review
      Takahiro Kudo, Toshiaki Shimizu
      Pediatrics International.2023;[Epub]     CrossRef
    • Clinical and therapeutic characterisation of a multicentre cohort of patients with inflammatory bowel disease in Colombia
      Viviana Parra-Izquierdo, Cristian Flórez Sarmiento, Juan Sebastián Frías-Ordoñez, Melquicedec Vargas, Joshua Kock, Natalia Lozano Escobar, Juan Ricardo Márquez
      Gastroenterología y Hepatología (English Edition).2023; 46(8): 585.     CrossRef
    • Clinical characteristics and nursing diagnoses of pediatric patients hospitalized with inflammatory bowel disease: a single-center retrospective study in South Korea
      Sung-Yoon Jo, Kyung-Sook Bang
      Child Health Nursing Research.2023; 29(3): 218.     CrossRef
    • Clinical Features and Long-Term Outcomes of Paediatric-Onset Inflammatory Bowel Disease in a Population-Based Cohort in the Songpa-Kangdong District of Seoul, Korea
      Sang Hyoung Park, Jong Pil Im, Hyunju Park, Seung Kyu Jeong, Ji Hyun Lee, Kyoung Hoon Rhee, Young-Ho Kim, Sung Noh Hong, Kyung Ho Kim, Seung In Seo, Jae Myung Cha, Sun Yong Park, Joo Sung Kim, Hyuk Yoon, Sung Hoon Kim, Jisun Jang, Jeong Hwan Kim, Seong O
      Journal of Crohn's and Colitis.2022; 16(2): 207.     CrossRef
    • Long-term Disease Course of Crohn’s Disease: Changes in Disease Location, Phenotype, Activities, and Predictive Factors
      Choong Wui Cho, Myung-Won You, Chi Hyuk Oh, Chang Kyun Lee, Sung Kyoung Moon
      Gut and Liver.2022; 16(2): 157.     CrossRef
    • Symptom Improvement of ulceRative colitis after an Induction dose of UStekinumab in Japanese clinical practice (SIRIUS), measured using patient-reported outcomes: a prospective observational study
      Katsuyoshi Matsuoka, Katsumasa Nagano, Shinya Nagasaki, Yoko Murata, Tadakazu Hisamatsu
      BMJ Open.2022; 12(5): e060081.     CrossRef
    • Personalized medicine in inflammatory bowel disease: Perspectives on Asia
      Su Hyun Park, Sang Hyoung Park
      Journal of Gastroenterology and Hepatology.2022; 37(8): 1434.     CrossRef
    • Phenotypic Pattern of Early Versus Later-Onset Pediatric Inflammatory Bowel Disease in a Eurasian Country
      Bilge S. Akkelle, Deniz Ertem, Burcu Volkan, Engin Tutar
      Journal of Pediatric Gastroenterology & Nutrition.2022; 75(4): e61.     CrossRef
    • Clinical features of very early-onset inflammatory bowel disease in Japan: a retrospective single-center study
      Masaaki Usami, Ichiro Takeuchi, Reiko Kyodo, Yuri Hirano, Kosuke Kashiwagi, Hiroki Fujikawa, Hirotaka Shimizu, Toshinao Kawai, Katsuhiro Arai
      Intestinal Research.2022; 20(4): 475.     CrossRef
    • SYSTEMATIC REVIEW AND META - ANALYSIS OF THE FREQUENCY AND RE-CLASSIFICATION TRENDS OF PEDIATRIC INFLAMMATORY BOWEL DISEASE - UNCLASSIFIED
      Rishi BOLIA, Akhil Dhanesh GOEL
      Arquivos de Gastroenterologia.2022; 59(4): 531.     CrossRef
    • Comparison between Pediatric Crohn’s Disease and Ulcerative Colitis at Diagnosis in Korea: Results from a Multicenter, Registry-Based, Inception Cohort Study
      Sowon Park, Ben Kang, Seung Kim, Sujin Choi, Hyo Rim Suh, Eun Sil Kim, Ji Hyung Park, Mi Jin Kim, Yon Ho Choe, Yeoun Joo Lee, Jae Hong Park, Eell Ryoo, Hong Koh, Byung-Ho Choe
      Gut and Liver.2022; 16(6): 921.     CrossRef
    • Epidemiology and diagnosis of inflammatory bowel diseases
      Kang-Moon Lee
      Journal of the Korean Medical Association.2021; 64(9): 579.     CrossRef
    • Very early onset inflammatory bowel disease in a South Asian country where inflammatory bowel disease is emerging: a distinct clinical phenotype from later onset disease
      Rupa Banerjee, Partha Pal, Zaheer Nabi, Upender Shava, Girish Ganesh, D. Nageshwar Reddy
      Intestinal Research.2021; 19(4): 398.     CrossRef
    • Incidentally Detected Asymptomatic Perianal Abscess in an Adolescent during Crohn's Disease Diagnosis: Is Routine Pelvic Imaging Required in Korean Pediatric Patients at Diagnosis?
      Soo Hyun Um, Sang Woo Lee, Ki Hwan Song, So Mi Lee, Byung-Ho Choe, Yoo Min Lee, Ben Kang
      Pediatric Gastroenterology, Hepatology & Nutrition.2021; 24(6): 564.     CrossRef

    • PubReader PubReader
    • ePub LinkePub Link
    • Cite
      CITE
      export Copy Download
      Close
      Download Citation
      Download a citation file in RIS format that can be imported by all major citation management software, including EndNote, ProCite, RefWorks, and Reference Manager.

      Format:
      • RIS — For EndNote, ProCite, RefWorks, and most other reference management software
      • BibTeX — For JabRef, BibDesk, and other BibTeX-specific software
      Include:
      • Citation for the content below
      Phenotypic characteristics of pediatric inflammatory bowel disease in Japan: results from a multicenter registry
      Intest Res. 2020;18(4):412-420.   Published online August 18, 2020
      Close
    • XML DownloadXML Download
    Figure
    • 0
    • 1
    Related articles
    Phenotypic characteristics of pediatric inflammatory bowel disease in Japan: results from a multicenter registry
    Image Image
    Fig. 1. Study flowchart. Flowchart showing patient registration and inclusion/exclusion from analysis. GI, gastrointestinal; CD, Crohn’s disease; UC, ulcerative colitis; IBD, inflammatory bowel disease; IBD-U, IBD-unclassified.
    Fig. 2. Age at diagnosis of inflammatory bowel disease (IBD) according to Paris classification criteria. A1a, IBD diagnosed before age 10 years; A1b, IBD diagnosed at age ≥10 years but before age 17 years; A2, IBD diagnosed at age ≥17 years but before age 40 years; CD, Crohn’s disease; UC, ulcerative colitis; JPIBD-R, Japan Pediatric Inflammatory Bowel Disease Registry; EUROKIDS, EUROKIDS registry.
    Phenotypic characteristics of pediatric inflammatory bowel disease in Japan: results from a multicenter registry
    Demographics All (n = 243)
    CD (n = 91)
    UC (n = 146)
    IBD-U (n=6)
    0–5 yr 6–9 yr 10–17 yr 0–5 yr 6–9 yr 10–17 yr 0–5 yr 6–9 yr 10–17 yr 0–5 yr 6–9 yr 10–17 yr
    No. of patients 27 (11.1) 29 (11.9) 187 (77.0) 7 (7.7) 12 (13.2) 72 (79.1) 16 (11.0) 16 (11.0) 114 (78.1) 4 (66.7) 1 (16.7) 1 (16.7)
    Sex, M/F 136/107 54/37 79/67 3/3
    Ratio of M:F by age group 13:14 16:13 107:80 3:4 9:03 42:30 8:8 6:10 65:49 2:2 1:0 0:1
    Age at diagnosis (yr) 11.0 ± 3.8 11.2 ±11.2±3.4 11.1 ± 3.7 4.3 ± 5.6
    Duration: disease onset–diagnosis (day) 83.0 (35.0–206.0) 121.0 (59.3–294.0) 63.0 (31.0–171.0) 264.5 (31.0–640.5)
    Family historya 24/238 (10.1) 9/89 (10.1) 14/142 (9.9) 1/6 (16.7)
    Family history by age group 2/23 (8.7) 2/29 (6.9) 20/185 (10.8) 0/5 (0) 1/12 (8.3) 8/72 (11.1) 2/14 (14.3) 1/16 (6.3) 11/112 (9.8) 0/4 (0) 0/1 (0) 1/1 (100)
    Variable All Age group (yr)
    P-valuea
    0–5 6–9 10–17
    CD location (n = 91)
     L1 involving 17 (18.7) 2 (28.6) 2 (16.7) 13 (18.1) 0.611
     L2 involving 12 (13.2) 3 (42.9) 2 (16.7) 7 (9.7) 0.046
     L3 involving 59 (64.8) 2 (28.6) 7 (58.3) 50 (69.4) 0.092
     L4a involving 43 (47.3) 2 (28.6) 5 (41.7) 36 (50.0) 0.440
     L4b involving 19 (20.9) 1 (14.3) 4 (33.3) 14 (19.4) 1.000
    CD behavior (n = 91)
     B1 76 (83.5) 6 (85.7) 12 (100) 58 (80.6) 1.000
     B2 10 (11.0) 0 0 10 (13.9) 1.000
     B3 3 (3.3) 0 0 3 (4.2) 1.000
     B2B3 2 (2.2) 1 (14.3) 0 1 (1.4) 0.149
     p 31 (34.1) 2 (28.6) 5 (41.7) 24 (33.3) 1.000
    UC extent (n = 146)
     E1 10 (6.8) 0 2 (12.5) 8 (7.0) 0.602
     E2 18 (12.3) 1 (6.3) 2 (12.5) 15 (13.2) 0.694
     E3 7 (4.8) 1 (6.3) 0 6 (5.3) 0.564
     E4 111 (76.0) 14 (87.5) 12 (75.0) 85 (74.6) 0.359
    Paris classification JPIBD-R EUROKIDS P-value
    CD location
     No. 91 582
     Total involving L1 17 (18.7) 95 (16.3) 0.548
      L1 8 (8.8) 46 (7.9) 0.835
      L1+L4a 5 (5.5) 21 (3.6) 0.379
      L1+L4b 4 (4.4) 20 (3.4) 0.552
      L1+L4a+L4b 0 8 (1.4) 0.607
     Total involving L2 12 (13.2) 159 (27.3) < 0.010
      L2 8 (8.8) 106 (18.2) < 0.010
      L2+L4a 4 (4.4) 24 (4.1) 0.783
      L2+L4b 0 22 (3.8) 0.059
      L2+L4a+L4b 0 7 (1.2) 0.602
     Total involving L3 59 (64.8) 307 (52.7) < 0.050
      L3 25 (27.5) 161 (27.7) 1.000
      L3+L4a 22 (24.2) 83 (14.3) < 0.050
      L3+L4b 1 (1.1) 38 (6.5) < 0.050
      L3+L4a+L4b 11 (12.1) 25 (4.3) < 0.010
     Total involving L4a 43 (47.3) 172 (29.6) < 0.010
      L4a 0 1 (0.2) 1.000
     Total involving L4b 19 (20.9) 140 (24.1) 0.596
      L4b 2 (2.2) 17 (2.9) 0.492
     Total involving L4a+L4b 12 (13.2) 43 (7.4) 0.066
      L4a+L4b 1 (1.1) 3 (0.5) 0.441
    CD behavior
     No. 91 1,177
     B1 76 (83.5) 959 (81.5) 0.779
     B2 10 (11.0) 144 (12.2) 0.868
     B3 3 (3.3) 55 (4.7) 0.794
     B2B3 2 (2.2) 19 (1.6) 0.659
     p 31 (34.1) 114 (9.7) < 0.001
    UC extent
     No. 146 578
     E1 10 (6.8) 27 (4.7) 0.294
     E2 18 (12.3) 104 (18) 0.109
     E3 7 (4.8) 50 (8.7) 0.167
     E4 111 (76.0) 397 (68.7) 0.086
    Dependent variable Reference OR 95% CI P-value
    Age (yr)
     6–9 0–5 2.80 0.21–36.60 0.432
     10–17 0–5 2.45 0.23–25.70 0.454
    Sex (male vs. female) Female 1.57 0.58–4.26 0.374
    Disease location
     L2 No L2 2.03 0.31–13.30 0.459
     L3 No L3 2.41 0.63–9.26 0.202
     L4a No L4a 0.66 0.24–1.80 0.412
     L4b No L4b 3.74 1.15–12.20 0.029
    Disease behavior
     B2 B1 0.74 0.16–3.46 0.700
     B3 B1 1.00 0.08–12.50 0.997
    Table 1. Demographics of Newly Diagnosed Pediatric IBD Patients

    Values are presented as number (%), mean±standard deviation, or median (interquartile range).

    Family history means having first-degree relatives (parents or siblings) with IBD.

    IBD, inflammatory bowel disease; CD, Crohn’s disease; UC, ulcerative colitis; IBD-D, IBD-unclassified; M, male; F, female.

    Table 2. Location of CD and Extent of UC by Age Group According to the Paris Classification

    Values are presented as number (%).

    0–5 years versus 6–9 and 10–17 years (chi-square test; P<0.05).

    CD, Crohn’s disease; UC, ulcerative colitis.

    Table 3. Comparisons of Location and Behavior of CD and Extent of UC between JPIBD-R and EUROKIDS

    Values are presented as number (%).

    CD, Crohn’s disease; UC, ulcerative colitis; JPIBD-R, Japan Pediatric Inflammatory Bowel Disease registry.

    Table 4. Logistic Regression Analysis for Perianal Disease Modifiers

    OR, odds ratio; CI, confidence interval.


    Intest Res : Intestinal Research
    Close layer
    TOP