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SHR Neuro Krebs Kardio Lipid Stoffw Microb

Timmer, A; Behrens, R; Buderus, S; Findeisen, A; Hauer, A; Keller, KM; Kliemann, G; Lang, T; Lohr, W; Rzehak, P; Koletzko, S; CEDATA-GPGE Study Group.
Childhood Onset Inflammatory Bowel Disease: Predictors of Delayed Diagnosis from the CEDATA German-Language Pediatric Inflammatory Bowel Disease Registry.
J Pediatr. 2011; 158(3):467-473 Doi: 10.1016/j.jpeds.2010.09.014
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Co-Autor*innen der Med Uni Graz
Hauer Almuthe
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Abstract:
Objectives To examine predictors of delayed diagnosis of inflammatory bowel disease in children and adolescents. Study design A total of 2436 patients (age 0-18 years) with Crohn's disease, ulcerative colitis, or unclassified colitis were included from 53 pediatric gastroenterologists. Predictors were examined with the proportional hazards model, presented as hazard ratios (HR) with 95% confidence intervals. HR < 1.0 represent factors associated with late diagnosis. Results Median time to diagnosis was 4 (2-8) months. Crohn's disease (HR 0.62; 0.56-0.68), and within Crohn's disease, ileal disease (HR 0.77, 95% confidence interval 0.67 to 0.89) were associated with delayed diagnosis. Chances for early diagnosis increased with increasing age (HR 1.07 per year of age; 1.06 to 1.08). There was also an effect by center (HR 0.63, 0.52 to 0.67), but not by sex or country (Austria vs Germany). Growth failure was more common in those cases with delayed diagnosis. Conclusions There is still concern about delays in the diagnosis of inflammatory bowel disease in the very young and in children with small bowel disease. Inequalities of care by region require further investigation. (J Pediatr 2011;158:467-73).
Find related publications in this database (using NLM MeSH Indexing)
Adolescent -
Adolescent - epidemiology
Child -
Child, Preschool -
Crohn Disease - diagnosis
Delayed Diagnosis - prevention and control
Female -
Female - epidemiology
Growth Disorders - epidemiology
Humans -
Infant -
Infant, Newborn -
Inflammatory Bowel Diseases - diagnosis
Kaplan-Meier Estimate -
Male -
Multivariate Analysis -
Proportional Hazards Models -
Registries - statistics and numerical data
Risk Factors -

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