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Cervicofacial Pediatric Tissue Expansion: Aesthetic Unit-Based Algorithm.

Christopher D Lopez1, Cynthia T Yusuf1, Alisa O Girard1

  • 1From the Department of Plastic and Reconstructive Surgery, Johns Hopkins University School of Medicine.

Plastic and Reconstructive Surgery
|March 12, 2024
PubMed
Summary
This summary is machine-generated.

An aesthetic unit-based algorithm improved outcomes for pediatric cervicofacial tissue expansion, reducing complication rates to 18%. This approach helps optimize reconstructive results in young patients undergoing soft-tissue reconstruction.

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Area of Science:

  • Plastic Surgery
  • Pediatric Reconstruction
  • Tissue Expansion

Background:

  • Tissue expansion is vital for pediatric soft-tissue reconstruction but has high complication rates (up to 40%) including infection and implant extrusion.
  • Head and neck reconstruction presents unique challenges due to aesthetic unit preservation.
  • An aesthetic unit-based algorithm was developed to address these challenges.

Purpose of the Study:

  • To evaluate the effectiveness of an aesthetic unit-based algorithm in pediatric cervicofacial tissue expansion.
  • To identify risk factors associated with complications in pediatric tissue expansion.

Main Methods:

  • Retrospective study of 48 pediatric patients with 111 cervicofacial tissue expanders over 17 years.
  • Analysis of variables including age, sex, indication, expander type/size, and inflation method.
  • Univariate and multivariate analyses to determine complication risk factors.

Main Results:

  • The aesthetic unit-based algorithm was proposed, with an overall complication rate of 18% (infection, extrusion, deflation).
  • Congenital nevi as an indication and textured expanders were associated with decreased complications (P=0.042, P=0.027).
  • Serial expansion increased readmission rates (P=0.027), and complications correlated with iatrogenic ectropion (P=0.026).

Conclusions:

  • An aesthetic unit-based algorithm optimizes reconstructive outcomes in pediatric cervicofacial tissue expansion.
  • This algorithm aids in managing the complexities of head and neck reconstruction in children.
  • The study highlights the importance of tailored approaches to minimize complications.