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BMI and specimen weight: impact on personalized risk profiling for optimized informed consent in breast reduction surgery?
We aimed to evaluate the interaction between individual risk factors and institutional complication rates after reduction mammaplasties to develop a chart for a personalized written patient informed consent. We retrospectively reviewed charts of 804 patients who underwent bilateral breast reduction...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6722094/ https://www.ncbi.nlm.nih.gov/pubmed/31481711 http://dx.doi.org/10.1038/s41598-019-49169-y |
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author | Winter, Raimund Reischies, Frederike M. J. Tuca, Alexandru Wurzer, Paul Schubert, Christian Wolfsberger, Christina H. Rienmueller, Theresa Friedl, Herwig Sljivich, Michaela Lumenta, David B. Kamolz, Lars-P. |
author_facet | Winter, Raimund Reischies, Frederike M. J. Tuca, Alexandru Wurzer, Paul Schubert, Christian Wolfsberger, Christina H. Rienmueller, Theresa Friedl, Herwig Sljivich, Michaela Lumenta, David B. Kamolz, Lars-P. |
author_sort | Winter, Raimund |
collection | PubMed |
description | We aimed to evaluate the interaction between individual risk factors and institutional complication rates after reduction mammaplasties to develop a chart for a personalized written patient informed consent. We retrospectively reviewed charts of 804 patients who underwent bilateral breast reduction between 2005 and 2015. The Clavien-Dindo classification was used to classify postoperative complications. Relevant predictors were found by applying a stepwise variable selection procedure. Multilevel predictors were assessed through chi-square tests on the respective deviance reductions. 486 patients were included. The most common complications were wound healing problems (n = 270/56%), foreign body reactions (n = 58/12%), wound infections (n = 45/9, 3%) and fat tissue necrosis (n = 41/8%). The risk factors for the personalized patient chart for the most common complications influencing the preoperative informed consent were: smoking, operative technique, resection weight for wound healing problems; body mass index and allergies for wound infections; and patients’ age, resection weight for fat tissue necrosis. The resultant chart of institutionally encountered most common complications based on individual risk factors is a graphical template for obtaining patient informed consent in the future. Whether this approach influences patient information retainment, incidence of filed lawsuits or behavioral change needs to be prospectively tested in future studies. |
format | Online Article Text |
id | pubmed-6722094 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-67220942019-09-17 BMI and specimen weight: impact on personalized risk profiling for optimized informed consent in breast reduction surgery? Winter, Raimund Reischies, Frederike M. J. Tuca, Alexandru Wurzer, Paul Schubert, Christian Wolfsberger, Christina H. Rienmueller, Theresa Friedl, Herwig Sljivich, Michaela Lumenta, David B. Kamolz, Lars-P. Sci Rep Article We aimed to evaluate the interaction between individual risk factors and institutional complication rates after reduction mammaplasties to develop a chart for a personalized written patient informed consent. We retrospectively reviewed charts of 804 patients who underwent bilateral breast reduction between 2005 and 2015. The Clavien-Dindo classification was used to classify postoperative complications. Relevant predictors were found by applying a stepwise variable selection procedure. Multilevel predictors were assessed through chi-square tests on the respective deviance reductions. 486 patients were included. The most common complications were wound healing problems (n = 270/56%), foreign body reactions (n = 58/12%), wound infections (n = 45/9, 3%) and fat tissue necrosis (n = 41/8%). The risk factors for the personalized patient chart for the most common complications influencing the preoperative informed consent were: smoking, operative technique, resection weight for wound healing problems; body mass index and allergies for wound infections; and patients’ age, resection weight for fat tissue necrosis. The resultant chart of institutionally encountered most common complications based on individual risk factors is a graphical template for obtaining patient informed consent in the future. Whether this approach influences patient information retainment, incidence of filed lawsuits or behavioral change needs to be prospectively tested in future studies. Nature Publishing Group UK 2019-09-03 /pmc/articles/PMC6722094/ /pubmed/31481711 http://dx.doi.org/10.1038/s41598-019-49169-y Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Winter, Raimund Reischies, Frederike M. J. Tuca, Alexandru Wurzer, Paul Schubert, Christian Wolfsberger, Christina H. Rienmueller, Theresa Friedl, Herwig Sljivich, Michaela Lumenta, David B. Kamolz, Lars-P. BMI and specimen weight: impact on personalized risk profiling for optimized informed consent in breast reduction surgery? |
title | BMI and specimen weight: impact on personalized risk profiling for optimized informed consent in breast reduction surgery? |
title_full | BMI and specimen weight: impact on personalized risk profiling for optimized informed consent in breast reduction surgery? |
title_fullStr | BMI and specimen weight: impact on personalized risk profiling for optimized informed consent in breast reduction surgery? |
title_full_unstemmed | BMI and specimen weight: impact on personalized risk profiling for optimized informed consent in breast reduction surgery? |
title_short | BMI and specimen weight: impact on personalized risk profiling for optimized informed consent in breast reduction surgery? |
title_sort | bmi and specimen weight: impact on personalized risk profiling for optimized informed consent in breast reduction surgery? |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6722094/ https://www.ncbi.nlm.nih.gov/pubmed/31481711 http://dx.doi.org/10.1038/s41598-019-49169-y |
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