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Development and validation of an improved classification and risk stratification system for carotid body tumors: Multinational collaborative cohort study.
Mehanna, Hisham; Mistry, Pankaj; Golusinski, Pawel; Di Maio, Pasquale; Nankivell, Paul; Snider, Francesco; Ferrante, Angela M R; Montalto, Nausica; Nicolai, Piero; Marcantoni, Alessandra; Grandi, Cesare; Zavatta, Marco; Grego, Franco; Malec, Kataryna; Hosal, Sefik; Suslu, Nilda; Kuscu, Oguz; Torrealba, Ignacio; Valdes, Francisco; Sharma, Neil; Ayuk, John; Monksfield, Peter; Irving, Richard; Dunn, Janet A; Kay, Mark; Borsetto, Daniele.
Afiliação
  • Mehanna H; Institute for Head and Neck Studies and Education (InHANSE), University of Birmingham, Birmingham, UK.
  • Mistry P; University of Warwick, Coventry, UK.
  • Golusinski P; Department of Head and Neck Surgery, The Greater Poland Cancer Centre, Poznan University of Medical Sciences, Poznan, Poland.
  • Di Maio P; Section of Otolaryngology - Head and Neck Surgery, University of Perugia, Perugia, Italy.
  • Nankivell P; Institute for Head and Neck Studies and Education (InHANSE), University of Birmingham, Birmingham, UK.
  • Snider F; Vascular Surgery Unit, Department of Cardiovascular Sciences, Policlinico Universitario A. Gemelli Foundation, Università Cattolica del S. Cuore, Rome, Italy.
  • Ferrante AMR; Vascular Surgery Unit, Department of Cardiovascular Sciences, Policlinico Universitario A. Gemelli Foundation, Università Cattolica del S. Cuore, Rome, Italy.
  • Montalto N; Unit of Otorhinolaryngology - Head and Neck Surgery, University of Brescia, Brescia, Italy.
  • Nicolai P; Unit of Otorhinolaryngology - Head and Neck Surgery, University of Brescia, Brescia, Italy.
  • Marcantoni A; Department of Otolaryngology, Ospedale S. Chiara, Trento, Italy.
  • Grandi C; Department of Otolaryngology, Ospedale S. Chiara, Trento, Italy.
  • Zavatta M; Clinic of Vascular and Endovascular Surgery, Padova University School of Medicine, Padova, Italy.
  • Grego F; Clinic of Vascular and Endovascular Surgery, Padova University School of Medicine, Padova, Italy.
  • Malec K; Department of Otolaryngology - Head and Neck Surgery, 5th Military Hospital with Polyclinic, Krakow, Poland.
  • Hosal S; Department of Otolaryngology - Head and Neck Surgery, Hacettepe University School of Medicine, Ankara, Turkey.
  • Suslu N; Department of Otolaryngology - Head and Neck Surgery, Hacettepe University School of Medicine, Ankara, Turkey.
  • Kuscu O; Department of Otolaryngology - Head and Neck Surgery, Hacettepe University School of Medicine, Ankara, Turkey.
  • Torrealba I; Department of Vascular and Endovascular Surgery, Medical School, Pontificia Universidad Católica de Chile, Santiago, Chile.
  • Valdes F; Department of Vascular and Endovascular Surgery, Medical School, Pontificia Universidad Católica de Chile, Santiago, Chile.
  • Sharma N; Institute for Head and Neck Studies and Education (InHANSE), University of Birmingham, Birmingham, UK.
  • Ayuk J; Department of Endocrinology, University Hospitals Birmingham Foundation Trust, Birmingham, UK.
  • Monksfield P; Institute for Head and Neck Studies and Education (InHANSE), University of Birmingham, Birmingham, UK.
  • Irving R; Institute for Head and Neck Studies and Education (InHANSE), University of Birmingham, Birmingham, UK.
  • Dunn JA; University of Warwick, Coventry, UK.
  • Kay M; Department of Vascular Surgery, University Hospitals Birmingham Foundation Trust, Birmingham, UK.
  • Borsetto D; Institute for Head and Neck Studies and Education (InHANSE), University of Birmingham, Birmingham, UK.
Head Neck ; 43(11): 3448-3458, 2021 11.
Article em En | MEDLINE | ID: mdl-34418219
ABSTRACT

BACKGROUND:

This study aims to develop and validate a new classification system that better predicts combined risk of neurological and neurovascular complications following CBT surgery, crucial for treatment decision-making.

METHODS:

Multinational retrospective cohort study with 199 consecutive cases. A cohort of 132 CBT cases was used to develop the new classification. To undertake external validation, assessment was made between the actual complication rate and predicted risk by the model on an independent cohort (n = 67).

RESULTS:

Univariate analyses showed statistically significant associations between developing a complication and the following factors craniocaudal dimension, volume, Shamblin classification, and Mehanna types. In the multivariate prognostic model, only Mehanna type remained as a significant risk predictor. The risk of developing complications increases with increasing Mehanna type.

CONCLUSIONS:

We have developed and then validated a new classification and risk stratification system for CBTs, which demonstrated better prognostic power for the risk of developing neurovascular complications after surgery.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Tumor do Corpo Carotídeo Tipo de estudo: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Tumor do Corpo Carotídeo Tipo de estudo: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article