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Predictive model of heterotopy in Meckel's diverticulum in children
Xenophon Sinopidis1, Sotirios Fouzas2, Katerina Kambouri3
1Department of Paediatric Surgery, University of Patras School of Medicine, University General Hospital, Patras, Greece.
Background:
The presence of heterotopic tissue in Meckel's diverticulum (MD) increases the incidence of future complications. Based on this concept, this study aimed to detect clinical and morphological parameters able to predict the probability of heterotopy in incidentally discovered uncomplicated MD and to develop a risk-based classification tool.
Methods:
The clinical records of 146 patients who underwent MD resection were reviewed. MD complications (bleeding, inflammation, perforation or involvement in pathological processes such as intussusception) and MD dimensions (width, length and the product width × length) were evaluated in association with heterotopy. Regression analysis was used to explore the discrete effect of clinically relevant parameters, which were subsequently combined in a Classification and Regression Tree.
Results:
The probability of heterotopy was higher in complicated MDs. The width of the base of the MD and the product width × length were also significant predictors of heterotopy. A stepwise combination (Classification and Regression Tree model) of (i) uncomplicated macroscopic presentation, (ii) width <2.5 cm, (iii) age <10 years and (iv) product width × length <4 cm2 resulted in a null probability of heterotopy in our study group.
Conclusion:
The combination of MD-related clinical and morphological parameters using advanced statistical tools may assist in estimating the probability of heterotopy. This may be applied in incidentally discovered uncomplicated MDs during abdominal surgery for other morbidities. Prospective studies are required to confirm our findings and test the practical usefulness of the classification tool developed here.
Insights
Predicting heterotopic tissue in Meckel
Area of Science:
- Gastroenterology
- Surgical Pathology
- Medical Informatics
Background:
- Heterotopic tissue in Meckel's diverticulum (MD) is linked to increased complication risks.
- Identifying predictors for heterotopy in incidental MD cases is crucial for patient management.
- Developing a risk-based classification tool can aid in surgical decision-making.
Purpose of the Study:
- To identify clinical and morphological parameters predicting heterotopic tissue in incidentally discovered Meckel's diverticulum.
- To develop a risk-based classification tool for estimating heterotopy probability.
- To aid in managing incidentally found Meckel's diverticulum during other abdominal surgeries.
Main Methods:
- Retrospective review of 146 patients undergoing Meckel's diverticulum resection.
- Evaluation of MD complications and dimensions (width, length, width × length) in relation to heterotopy.
- Application of regression analysis and Classification and Regression Tree (CART) for parameter combination.
Main Results:
- Complicated MDs showed a higher probability of heterotopy.
- MD base width and the product of width × length were significant predictors.
- A CART model combining uncomplicated presentation, width < 2.5 cm, age < 10 years, and width × length < 4 cm² predicted a null probability of heterotopy.
Conclusions:
- Clinical and morphological parameters, analyzed with statistical tools, can estimate Meckel's diverticulum heterotopy probability.
- The developed classification tool may assist in managing incidentally discovered, uncomplicated MDs.
- Prospective studies are needed to validate findings and assess the tool's clinical utility.