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Predicting complications in pediatric Crohn's disease patients followed in CEDATA-GPGE registry
Juliane Klamt1, Jan de Laffolie2, Elisa Wirthgen3
1Rostock Medical School, University of Rostock, Rostock, Germany.
Insights
Predicting complications in pediatric Crohn's disease (CD) is crucial. This study identified new and confirmed existing risk factors for surgery, disease behavior, and growth issues in children with CD.
Area of Science:
- Pediatric Gastroenterology
- Inflammatory Bowel Disease Research
- Clinical Epidemiology
Background:
- Crohn's disease (CD) complications significantly impact pediatric patients' quality of life.
- Predicting and preventing complications such as surgery, stricturing (B2), penetrating (B3) disease, perianal disease, growth retardation, and hospitalization is essential.
- The CEDATA-GPGE registry provides a valuable dataset for analyzing CD progression predictors.
Purpose of the Study:
- To investigate previously suggested and identify novel predictors of CD complications in pediatric patients.
- To enhance the risk stratification of children diagnosed with Crohn's disease.
- To inform tailored treatment strategies based on individual risk profiles.
Main Methods:
- Analysis of data from the CEDATA-GPGE registry.
- Inclusion of pediatric patients (< 18 years) with CD and available follow-up data.
- Application of Kaplan-Meier survival curves and Cox regression models to evaluate risk factors.
Main Results:
- Identified risk factors for surgery: older age, B3 disease, severe perianal disease, and initial corticosteroid therapy.
- Predictors for B2 disease include older age, corticosteroids, low weight-for-age, anemia, and emesis.
- Risk factors for B3 disease: low weight-for-age and severe perianal disease.
- Factors for growth retardation: low weight-for-age, older age, nutritional therapy, and skin EIM.
- Hospitalization predictors: high disease activity and biological therapy.
- Perianal disease risk factors: male sex, corticosteroids, B3 disease, family history, and liver/skin EIM.
Conclusions:
- Confirmed known predictors and identified new risk factors for pediatric Crohn's disease complications.
- The findings support improved patient stratification based on individual risk profiles.
- This research aids in selecting more appropriate and personalized treatment strategies for pediatric CD patients.
Background:
Complications of Crohn's disease (CD) often impair patients' quality of life. It is necessary to predict and prevent these complications (surgery, stricturing [B2]/penetrating [B3] disease behavior, perianal disease, growth retardation and hospitalization). Our study investigated previously suggested and additional predictors by analyzing data of the CEDATA-GPGE registry.
Methods:
Pediatric patients (< 18 years) diagnosed with CD with follow up data in the registry were included in the study. Potential risk factors for the selected complications were evaluated by performing Kaplan-Meier survival curves and cox regression models.
Results:
For the complication surgery, the potential risk factors older age, B3 disease, severe perianal disease and initial therapy with corticosteroids at the time of diagnosis were identified. Older age, initial therapy with corticosteroids, low weight-for-age, anemia and emesis predict B2 disease. Low weight-for-age and severe perianal disease were risk factors for B3 disease. Low weight-for-age, growth retardation, older age, nutritional therapy, and extraintestinal manifestations (EIM) of the skin were identified as risk factors for growth retardation during the disease course. High disease activity and treatment with biologicals were predictors for hospitalization. As risk factors for perianal disease, the factors male sex, corticosteroids, B3 disease, a positive family history and EIM of liver and skin were identified.
Conclusion:
We confirmed previously suggested predictors of CD course and identified new ones in one of the largest registries of pediatric CD patients. This may help to better stratify patients' according to their individual risk profile and choose appropriate treatment strategies.
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