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Pfeiffer Syndrome: A Therapeutic Algorithm Based on a Modified Grading Scale

Authors :
Cassio Eduardo Raposo-Amaral, MD, PhD
Rafael Denadai, MD
Geiza Máximo, MD
Cesar Augusto Raposo-Amaral, MD
Enrico Ghizoni, MD, PhD
Source :
Plastic and Reconstructive Surgery, Global Open, Vol 8, Iss 4, p e2788 (2020)
Publication Year :
2020
Publisher :
Wolters Kluwer, 2020.

Abstract

Background:. Pfeiffer syndrome (PS) is a very rare condition with a wide clinical spectrum. There are only a few studies that address the classification and treatment of PS and take into account the most commonly presented clinical features. Thus, the objectives of this study are to propose an algorithm for PS management based on a modified severity scale and correlate PS severity with tracheostomy placement. Methods:. An observational retrospective study was performed on consecutive patients with PS (n = 12), who underwent surgery between 2008 and 2018. Clinical features and findings of all included patients with PS were classified as types A, B, and C, which guided treatment workflow. The Fisher test was used to correlate the severity of patients with PS with tracheostomy placement. Results:. There were 12 patients, classified as type A (n = 3), type B (n = 6), and type C (n = 3). All patients who received tracheostomies (n = 6) were stratified into the severe category (n = 9; types B and C) (P < 0.05). There were 4 minor complications, and 1 major complication according to a modified Clavien–Dindo surgical complication scale. Conclusion:. A treatment algorithm based on the 3 different Pfeiffer types was proposed. Severity of PS statistically correlates to tracheostomy placement.

Subjects

Subjects :
Surgery
RD1-811

Details

Language :
English
ISSN :
21697574 and 00000000
Volume :
8
Issue :
4
Database :
Directory of Open Access Journals
Journal :
Plastic and Reconstructive Surgery, Global Open
Publication Type :
Academic Journal
Accession number :
edsdoj.7347e558eae4afaa0959d0a52deac2a
Document Type :
article
Full Text :
https://doi.org/10.1097/GOX.0000000000002788