Epidemiology, validation, and clinical characteristics of inflammatory bowel disease: the ABIS birth cohort study

Malin Östensson1, Olle Björkqvist2, Annie Guo3

  • 1Bioinformatics and Data Centre, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.

PubMed

Insights

This study found a 0.74% cumulative incidence of inflammatory bowel disease (IBD) in Swedish children. Register-based IBD definitions are highly valid for cohort studies.

Area of Science:

  • Pediatric gastroenterology
  • Epidemiology
  • Biostatistics

Background:

  • Birth cohort studies offer insights into early-life determinants of inflammatory bowel disease (IBD).
  • Register-based data often lack clinical details and rely on diagnostic algorithms.
  • The All Babies in Southeast Sweden (ABIS) cohort was used to assess IBD register data validity.

Purpose of the Study:

  • To examine the validity of a register-based definition for IBD.
  • To determine the incidence and cumulative incidence of IBD in a Swedish birth cohort.
  • To describe the clinical and therapeutic characteristics of IBD at diagnosis.

Main Methods:

  • Followed 16,223 children from birth (1997-1999) to 2020 for IBD diagnoses using the Swedish National Patient Register (NPR).
  • Calculated IBD incidence and cumulative incidence.
  • Conducted a medical record review for cases diagnosed by 2017 to determine the positive predictive value (PPV) and clinical characteristics.

Main Results:

  • By 2020, 113 participants (0.74%) had a register-based IBD diagnosis, with an incidence of 31.3 per 100,000 person-years.
  • The PPV for the register-based IBD definition was 93% (57 out of 61 reviewed cases).
  • Biologics were more common in newly diagnosed Crohn's disease (CD) than ulcerative colitis (UC); median fecal calprotectin decreased significantly over time.

Conclusions:

  • The cumulative incidence of IBD in this Swedish population-based sample was 0.74%.
  • The register-based definition of IBD demonstrated high validity.
  • Register data is suitable for identifying IBD patients in large cohort studies.
Abstract

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