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即刻乳房重建术后手术发病率的风险分析和分层。

Risk analysis and stratification of surgical morbidity after immediate breast reconstruction.

机构信息

Division of Plastic Surgery, Hospital of the University of Pennsylvania, Philadelphia, PA.

出版信息

J Am Coll Surg. 2013 Nov;217(5):780-7. doi: 10.1016/j.jamcollsurg.2013.07.004. Epub 2013 Sep 25.

Abstract

BACKGROUND

Surgical complications after breast reconstruction can be associated with significant morbidity, dissatisfaction, and cost. We used the ACS-NSQIP datasets from 2005 to 2011 to derive predictors of morbidity and to stratify risk after immediate breast reconstruction (IBR).

STUDY DESIGN

Surgical complications after implant and autologous reconstruction were assessed using the ACS-NSQIP 2005 to 2011 datasets. Patient demographics, clinical characteristics, and operative factors were associated with the likelihood of experiencing a surgical complication. A "model cohort" of 12,129 patients was randomly selected from the study cohort to derive predictors. Weighted odds ratios derived from logistic regression analysis were used to create a composite risk score and to stratify patients. The remaining one-third of the cohort (n = 6,065) were used as the "validation cohort" to assess the accuracy value of the risk model.

RESULTS

On adjusted analysis, autologous reconstruction (odds ratio [OR] 1.41, p < 0.001), American Society of Anesthesiologists physical status ≥ 3 (OR 1.25, p = 0.004), class I obesity (OR 1.38, p < 0.001), class II obesity (OR 1.91, p < 0.001), class III obesity (OR 1.70, p < 0.001), and active smoking (OR 1.46, p < 0.001) were associated with complications. Risk factors were weighted and patients were stratified into low (0 to 2, n = 9,133, risk = 7.14%), intermediate (3 to 4, n = 1,935, risk = 10.90%), high (5 to 7, n = 1,024, risk = 16.70%), and very high (8 to 9, n = 37, risk = 27.02%) risk categories based on their total risk score (p < 0.001). Internal validation of the "model cohort" using the "validation cohort" was performed demonstrating accurate prediction of risk across groups: low (7.1% vs 7.1%, respectively, p = 0.9), intermediate (10.9% vs 12.0%, respectively, p = 0.38), high (16.7% vs 16.8%, respectively, p = 0.95), and very high (27.0% vs 30.0%, respectively, p = 1.0).

CONCLUSIONS

Surgical complications after IBR are related to preoperatively identifiable factors that can be used to accurately risk stratify patients, which may assist with counseling, selection, and perioperative decision-making.

摘要

背景

乳房重建术后的手术并发症可能会导致显著的发病率、不满意和成本增加。我们使用了 2005 年至 2011 年 ACS-NSQIP 数据集,以确定发病率的预测因素,并对即刻乳房重建 (IBR) 后的风险进行分层。

研究设计

使用 2005 年至 2011 年 ACS-NSQIP 数据集评估植入物和自体重建后的手术并发症。患者人口统计学、临床特征和手术因素与发生手术并发症的可能性相关。从研究队列中随机选择 12129 名患者的“模型队列”来得出预测因素。使用逻辑回归分析得出的加权比值比来创建一个综合风险评分,并对患者进行分层。队列的其余三分之一(n=6065)被用作“验证队列”,以评估风险模型的准确性值。

结果

在调整分析中,自体重建(比值比[OR]1.41,p<0.001)、美国麻醉医师协会身体状况≥3(OR 1.25,p=0.004)、I 类肥胖(OR 1.38,p<0.001)、II 类肥胖(OR 1.91,p<0.001)、III 类肥胖(OR 1.70,p<0.001)和吸烟(OR 1.46,p<0.001)与并发症相关。对危险因素进行加权,并根据总风险评分将患者分层为低(0 至 2,n=9133,风险=7.14%)、中(3 至 4,n=1935,风险=10.90%)、高(5 至 7,n=1024,风险=16.70%)和非常高(8 至 9,n=37,风险=27.02%)风险类别(p<0.001)。使用“验证队列”对“模型队列”进行内部验证,结果表明在各分组中风险预测准确:低(7.1%对 7.1%,p=0.9)、中(10.9%对 12.0%,p=0.38)、高(16.7%对 16.8%,p=0.95)和非常高(27.0%对 30.0%,p=1.0)。

结论

IBR 后手术并发症与术前可识别的因素有关,这些因素可用于准确地对患者进行风险分层,这可能有助于咨询、选择和围手术期决策。

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