Literature DB >> 33396251

Clinical Features of Intra-Abdominal Abscess and Intestinal Free-Wall Perforation in Korean Patients with Crohn's Disease: Results from the CONNECT Study.

Seok-Hoo Jeong1, Ja Sung Choi1, Jin Woo Kim2, Hee Man Kim2, Hyun-Soo Kim2, Jong Pil Im3, Joo Sung Kim3, You Sun Kim4, Jae Hee Cheon5, Won Ho Kim5, Byong Duk Ye6, Young-Ho Kim7, Dong Soo Han8.   

Abstract

Background: In Crohn's disease (CD), intra-abdominal abscess (IA) and intestinal free-wall perforation (IP) have a common mechanism of transmural inflammation; however, their manifestation is different. Objective: This study aimed to investigate differences in the clinical features between IA and IP in Korean patients with Crohn's disease. Design: A retrospective cohort study. Setting: Thirty university hospitals and two local hospitals in Korea. Patients: Patients who were diagnosed with CD between July 1982 and December 2008 were enrolled. Main Outcome Measures: Clinical characteristics of IA and IP.
Results: Among 1286 patients with CD, 147 (11.4%) had IA and 83 (6.5%) had IP. IA patients were younger than those of IP (24.2 ± 8.6 vs. 30.4 ± 11.1 years, p = 0.001). Location and behavior were significantly different between IA and IP (p = 0.035 and 0.021). In multivariate analyses, perianal fistula was not associated with increased risk of IA and IP, while intestinal stricture was associated with increased risk of IA (OR: 2.72, p < 0.0001) and IP (OR: 2.76, p < 0.0001). In subgroup analyses, 55 (36.5%) IA patients were diagnosed at the diagnosis of CD, and 92 (63.5%) during follow-up of CD, while 47 (56.6%) IP patients were diagnosed at the diagnosis of CD, and 36 (43.3%) during follow-up of CD. Conclusions: There are several differences in the clinical features of IA and IP in Korean patients with CD. The development mechanism is considered as identical, but further investigation should be needed for clinical implication.

Entities:  

Keywords:  Crohn’s disease; intra-abdominal abscess; perforation

Year:  2020        PMID: 33396251     DOI: 10.3390/jcm10010116

Source DB:  PubMed          Journal:  J Clin Med        ISSN: 2077-0383            Impact factor:   4.241


  2 in total

1.  Machine learning for prediction of intra-abdominal abscesses in patients with Crohn's disease visiting the emergency department.

Authors:  Asaf Levartovsky; Yiftach Barash; Shomron Ben-Horin; Bella Ungar; Shelly Soffer; Marianne M Amitai; Eyal Klang; Uri Kopylov
Journal:  Therap Adv Gastroenterol       Date:  2021-10-22       Impact factor: 4.409

2.  Microbial Spectrum and Antibiotic Resistance in Patients Suffering from Penetrating Crohn's Disease.

Authors:  Simon Kusan; Güzin Surat; Matthias Kelm; Friedrich Anger; Mia Kim; Christoph-Thomas Germer; Nicolas Schlegel; Sven Flemming
Journal:  J Clin Med       Date:  2022-07-26       Impact factor: 4.964

  2 in total

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