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BMI and specimen weight: impact on personalized risk profiling for optimized informed consent in breast reduction surgery?

机译:体重指数(BMI)和标本重量:对减少乳房手术中最佳知情同意的个性化风险分析的影响?

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摘要

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.
机译:我们旨在评估减少乳腺成形术后个体风险因素与机构并发症发生率之间的相互作用,以制定个性化患者知情同意书。我们回顾性分析了2005年至2015年间804例行双侧乳房缩小术的患者的图表。采用Clavien-Dindo分类法对术后并发症进行分类。通过应用逐步变量选择程序可以找到相关的预测变量。通过卡方检验对各个偏差减少量进行多级预测。包括486名患者。最常见的并发症是伤口愈合问题(n = 270/56%),异物反应(n = 58/12%),伤口感染(n = 45/9,3%)和脂肪组织坏死(n = 41 / 8%)。影响患者术前知情同意书的最常见并发症的个性化患者图表风险因素包括:吸烟,手术技术,伤口愈合问题的切除重量;体重指数和伤口感染过敏和患者的年龄,脂肪组织坏死的切除重量。基于个体风险因素得出的机构遇到的最常见并发症的结果图是将来获得患者知情同意的图形模板。这种方法是否会影响患者的信息保留,提起诉讼的发生率或行为改变,需要在未来的研究中进行前瞻性测试。

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