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Journal archive · Revision and secondary rhinoplasty · Dorsum and hump · Cleft, trauma and reconstruction · 2024

PRS-GO Plastic and Reconstructive Surgery Global Open · 2024

Decision-making in Nasal Dorsum Reconstruction in Revision Rhinoplasty

Anco N, Caballero GC, Valverde K, Nuñez J.

What this paper says

In 18 patients undergoing revision rhinoplasty guided by an algorithm based on how stable the bridge was, mean satisfaction scores rose from 12 before surgery to 29 one year afterward.

Overview

Revision rhinoplasty is difficult because the starting anatomy varies with what was done previously. The authors propose a surgical algorithm that selects the reconstruction based on the stability of the nasal bridge. They applied it to 18 patients who came to their clinic dissatisfied with a previous operation, then measured satisfaction with a validated questionnaire a year later.

Sections of note

  • Design: case series applying a surgical algorithm, 18 patients: 6 men and 12 women, aged 19 to 54.
  • All had previously undergone rhinoplasty and sought a further procedure due to unsatisfactory results.
  • The algorithm was developed by the lead author and keyed to the stability of the nasal bridge.
  • Outcome tool: a validated Rhinoplasty Outcome Evaluation questionnaire applied one year after surgery.
  • Before surgery: minimum score 6, maximum 21, mean 12.
  • After surgery: minimum 21, maximum 30, mean 29.
  • The difference was statistically significant, p less than 0.001.
  • Note that the postoperative mean of 29 sits near the scale maximum of 30, so scores clustered at the ceiling.

What it means for a patient

  • Judging bridge stability first, then choosing the reconstruction, is presented as a way to bring order to revision planning.
  • Satisfaction rose substantially, with every patient scoring at least 21 out of 30 a year after surgery.
  • Scores near the top of the scale limit what can be learned, since the questionnaire cannot distinguish good from excellent once it saturates.
  • Limits: 18 patients, one surgeon, no comparison group, satisfaction only with no photographic or breathing measures, and the algorithm developed and applied by the same author.

Why this paper matters

Revision rhinoplasty has no agreed decision framework, and each surgeon works from experience. Anchoring the decision to a single assessable property, bridge stability, makes the reasoning transferable. Eighteen patients from one surgeon cannot establish that the algorithm outperforms case by case judgment.

Terms

  • Revision rhinoplasty: a further operation to correct the result of an earlier one.
  • Nasal dorsum: the bridge of the nose, running from between the eyes to the tip.
  • Surgical algorithm: a fixed decision sequence applied to each case.
  • Rhinoplasty Outcome Evaluation: a patient questionnaire scoring satisfaction with the nose.
  • Ceiling effect: clustering of scores at the top of a scale, which hides differences between patients.

Summary written by rhinoplasty.cc from the abstract, 2026-09-09; not medical advice. The authors' own abstract follows.

Abstract

Background: The approach to revision rhinoplasty is a challenge that plastic surgeons often face. The objective of this communication is to describe a surgical algorithm for patients undergoing revision rhinoplasty based on the stability of the nasal dorsum.

Methods: The study included 18 patients, six men and 12 women, aged 19-54 years, who had previously undergone rhinoplasty and who visited our clinic to request a new procedure due to unsatisfactory results in those procedures. A surgical algorithm developed by the main author (N.A.) was followed for revision rhinoplasty, and then a validated rhinoplasty outcome evaluation questionnaire was applied 1 year after surgery to assess aesthetic outcomes.

Results: The questionnaire was applied to all participants, showing a significant increase in patient satisfaction. Before surgery, a minimum value of six and a maximum of 21 (mean of 12) were found. After revision rhinoplasty following the proposed surgical algorithm, a minimum value of 21 and a maximum of 30 (mean of 29) were found, and this difference was statistically significant (P < 0.001).

Conclusions: The surgical algorithm used for nasal dorsum reconstruction in patients undergoing revision rhinoplasty improved patient satisfaction and could be a feasible procedure to approach patients who have previously undergone rhinoplasty.

Abstract as indexed by PubMed; the article is open access (PubMed Central).

Citation

PubMed
Journal
Plastic and Reconstructive Surgery Global Open
Year
2024
Authors
4
Type
Journal Article
Access
Open access
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