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Background <p>Pulmonary valve-sparing repair in Tetralogy of Fallot is associated with better long-term outcomes, but its feasibility remains uncertain in pediatric humanitarian patients, who often present late, with complex anatomy and comorbidities.</p> Objective <p>To develop a simple and interpretable decision tree model to predict the likelihood of pulmonary valve-sparing repair based on preoperative data in a humanitarian pediatric cohort.</p> Methods <p>A post-hoc classification and regression tree analysis was conducted on 115 pediatric humanitarian patients with Tetralogy of Fallot who underwent surgical correction at our center, between 2019 and 2023. Predictor variables included demographic, anthropometric, and anatomical parameters.</p> Results <p>The model achieved an overall accuracy of 80.0%, with a sensitivity of 88.2% and specificity of 56.7%. The pulmonary valve annulus diameter (&gt; 0.855&#xa0;cm) was the primary discriminator for pulmonary valve-sparing repair.</p> Conclusion <p>A simple decision tree model using preoperative anatomical variables may support surgical planning in humanitarian contexts. Its interpretability and high sensitivity suggest potential value as a preoperative triage and planning aid.</p>

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Preoperative decision tree model for predicting pulmonary valve-sparing repair in humanitarian pediatric tetralogy of fallot patients

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年3月2日

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  • Vitor Mendes,
  • Abdelkhalek Mouloudi,
  • Jalal Jolou,
  • Tomasz Nalecz,
  • Ana Abecasis,
  • Telmo Pereira,
  • Tornike Sologashvili

摘要

Background

Pulmonary valve-sparing repair in Tetralogy of Fallot is associated with better long-term outcomes, but its feasibility remains uncertain in pediatric humanitarian patients, who often present late, with complex anatomy and comorbidities.

Objective

To develop a simple and interpretable decision tree model to predict the likelihood of pulmonary valve-sparing repair based on preoperative data in a humanitarian pediatric cohort.

Methods

A post-hoc classification and regression tree analysis was conducted on 115 pediatric humanitarian patients with Tetralogy of Fallot who underwent surgical correction at our center, between 2019 and 2023. Predictor variables included demographic, anthropometric, and anatomical parameters.

Results

The model achieved an overall accuracy of 80.0%, with a sensitivity of 88.2% and specificity of 56.7%. The pulmonary valve annulus diameter (> 0.855 cm) was the primary discriminator for pulmonary valve-sparing repair.

Conclusion

A simple decision tree model using preoperative anatomical variables may support surgical planning in humanitarian contexts. Its interpretability and high sensitivity suggest potential value as a preoperative triage and planning aid.