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Evolutive pattern in Crohn's disease: a simplified index using clinical parameters predicts obstructive behaviour
J Hinojosa1, P Nos, J J Ramírez
1Department of Gastroenterology, Hospital of Sagunto, Valencia, Spain. jhinojosad@meditex.es
European Journal of Gastroenterology & Hepatology
|April 11, 2001
Summary
Predicting Crohn's disease evolution is possible using early clinical factors. A new mathematical model accurately identifies obstructive patterns but is less effective for fistulizing Crohn's disease.
Area of Science:
- Gastroenterology
- Internal Medicine
- Clinical Research
Background:
- Crohn's disease presents distinct obstructive and fistulizing evolutive patterns.
- Early clinical predictors for these Crohn's disease trajectories remain unidentified.
Purpose of the Study:
- To determine if clinical variables at diagnosis can predict subsequent Crohn's disease behavior.
- To develop a predictive model for disease evolution.
Main Methods:
- Analysis of clinical variables in 90 Crohn's disease patients.
- Logistic regression and ROC curve analysis to build and assess a predictive model.
- Evaluation of predictors including disease duration, symptom onset, anal disease, and abdominal mass.
Main Results:
- A predictive model incorporating disease duration, symptom onset, anal disease, and abdominal mass was developed.
- The model achieved 96.88% accuracy in predicting obstructive patterns but only 53.85% for fistulizing patterns.
- Sensitivity for predicting obstructive patterns was 98% with 50% specificity.
Conclusions:
- Simple clinical variables can effectively predict the development of obstructive Crohn's disease.
- The derived mathematical model is valuable for predicting obstructive patterns but not fistulizing patterns.