首页> 外文期刊>Journal of plastic, reconstructive & aesthetic surgery: JPRAS >Optimizing patient selection in ventral hernia repair with concurrent panniculectomy: An analysis of 1974 patients from the ACS-NSQIP datasets
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Optimizing patient selection in ventral hernia repair with concurrent panniculectomy: An analysis of 1974 patients from the ACS-NSQIP datasets

机译:在同时进行的全脂膜切除术中优化腹疝修补术中的患者选择:根据ACS-NSQIP数据集对1974名患者的分析

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Background Panniculectomy (PAN) during ventral hernia repair (VHR) can be a challenging procedure associated with added risk. We utilized the ACS-NSQIP datasets to generate a risk model of morbidity following these combined interventions. Methods The 2005-2012 ACS-NSQIP databases were queried to identify all patients undergoing VHR-PAN. Multivariate logistic regression analyses were used to assess perioperative factors associated with surgical and medical morbidity. Internal validation was performed using bootstrap analysis and risk stratification was performed using weighted β-coefficients. Results 1974 patients underwent VHR-PAN with an average age of 53.6 ± 12.4 years and BMI of 36.4 ± 10.1 kg/m2. Surgical complications occurred in 23.8% of patients, whereas medical complications occurred in 11.5%. A multivariate logistic regression identified the presence of a renal comorbidity (OR = 1.62, P = 0.045), class II obesity (BMI = 34.9-40.0 kg/m2) (OR = 1.89, P 0.001), class III obesity (BMI40 kg/m2) (OR = 2.66, P 0.001), dirty/infected wound class (OR = 2.01, P = 0.003), smoking (OR = 1.41, P = 0.026), prolonged operative time (OR = 2.12, P = 0.001), and ASA physical status of 3 (OR = 1.69, P 0.001) as independently associated with higher incidences of postoperative surgical complications. A multivariate regression analysis identified class II or III obesity (OR = 1.70, P = 0.003), contaminated or dirty/infected wounds (OR = 1.95, P 0.001), diabetes (OR = 1.96, P = 0.001), pulmonary comorbidity (OR = 2.08, P = 0.005), and component separation (OR = 2.65, P 0.001) as independently associated with higher incidences of postoperative medical complications. Simplified risk models of surgical and medical morbidity demonstrated good discrimination with C statistics of 0.69 and 0.70, respectively. Conclusions We report a simple preoperative, internally-validated risk model of surgical and medical morbidity following VHR-PAN to guide patient selection. Level of evidence Prognostic/risk category, level II.
机译:背景腹侧疝修补术(VHR)中的全脂膜切除术(PAN)可能是与增加的风险相关的具有挑战性的过程。在结合这些干预措施之后,我们利用ACS-NSQIP数据集生成了发病风险模型。方法查询2005- 2012年ACS-NSQIP数据库,以鉴定所有接受VHR-PAN治疗的患者。多变量logistic回归分析用于评估与手术和医学发病率相关的围手术期因素。使用bootstrap分析进行内部验证,并使用加权β系数进行风险分层。结果1974例患者接受VHR-PAN治疗,平均年龄为53.6±12.4岁,BMI为36.4±10.1 kg / m2。手术并发症发生在23.8%的患者中,而医疗并发症发生在11.5%的患者中。多元logistic回归分析显示存在肾脏合并症(OR = 1.62,P = 0.045),II级肥胖(BMI = 34.9-40.0 kg / m2)(OR = 1.89,P <0.001),III级肥胖(BMI40 kg / m2)(OR = 2.66,P <0.001),脏污/感染伤口类别(OR = 2.01,P = 0.003),吸烟(OR = 1.41,P = 0.026),手术时间延长(OR = 2.12,P = 0.001) ),并且ASA身体状况为3(OR = 1.69,P <0.001)与术后手术并发症的发生率较高独立相关。多元回归分析确定了II类或III类肥胖(OR = 1.70,P = 0.003),污染或脏污/感染的伤口(OR = 1.95,P <0.001),糖尿病(OR = 1.96,P = 0.001),肺部合并症( OR = 2.08,P = 0.005)和组分分离(OR = 2.65,P <0.001)与术后医疗并发症的发生率较高独立相关。简化的手术和医学发病风险模型显示出良好的判别力,C值分别为0.69和0.70。结论我们报告了一种简单的术前,内部验证的VHR-PAN术后手术和医学发病率风险模型,以指导患者选择。证据等级预后/风险类别,等级II。

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