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预测肥胖症手术严重并发症的风险:密歇根肥胖症手术协作研究的结果。

Predicting risk for serious complications with bariatric surgery: results from the Michigan Bariatric Surgery Collaborative.

机构信息

Department of Surgery, University of Michigan, Ann Arbor, MI, USA.

出版信息

Ann Surg. 2011 Oct;254(4):633-40. doi: 10.1097/SLA.0b013e318230058c.

Abstract

OBJECTIVES

To develop a risk prediction model for serious complications after bariatric surgery.

BACKGROUND

Despite evidence for improved safety with bariatric surgery, serious complications remain a concern for patients, providers and payers. There is little population-level data on which risk factors can be used to identify patients at high risk for major morbidity.

METHODS

The Michigan Bariatric Surgery Collaborative is a statewide consortium of hospitals and surgeons, which maintains an externally-audited prospective clinical registry. We analyzed data from 25,469 patients undergoing bariatric surgery between June 2006 and December 2010. Significant risk factors on univariable analysis were entered into a multivariable logistic regression model to identify factors associated with serious complications (life threatening and/or associated with lasting disability) within 30 days of surgery. Bootstrap resampling was performed to obtain bias-corrected confidence intervals and c-statistic.

RESULTS

Overall, 644 patients (2.5%) experienced a serious complication. Significant risk factors (P < 0.05) included: prior VTE (odds ratio [OR] 1.90, confidence interval [CI] 1.41-2.54); mobility limitations (OR 1.61, CI 1.23-2.13); coronary artery disease (OR 1.53, CI 1.17-2.02); age over 50 (OR 1.38, CI 1.18-1.61); pulmonary disease (OR 1.37, CI 1.15-1.64); male gender (OR 1.26, CI 1.06-1.50); smoking history (OR 1.20, CI 1.02-1.40); and procedure type (reference lap band): duodenal switch (OR 9.68, CI 6.05-15.49); laparoscopic gastric bypass (OR 3.58, CI 2.79-4.64); open gastric bypass (OR 3.51, CI 2.38-5.22); sleeve gastrectomy (OR 2.46, CI 1.73-3.50). The c-statistic was 0.68 (bias-corrected to 0.66) and the model was well-calibrated across deciles of predicted risk.

CONCLUSIONS

We have developed and validated a population-based risk scoring system for serious complications after bariatric surgery. We expect that this scoring system will improve the process of informed consent, facilitate the selection of procedures for high-risk patients, and allow for better risk stratification across studies of bariatric surgery.

摘要

目的

开发一种用于预测减重手术后严重并发症的风险预测模型。

背景

尽管减重手术的安全性有所提高,但严重并发症仍然是患者、医疗服务提供者和支付方关注的问题。关于哪些危险因素可以用于识别发生严重发病率风险较高的患者,目前几乎没有基于人群的数据。

方法

密歇根州减重手术协作组是一个全州范围的医院和外科医生联盟,它维护着一个经过外部审核的前瞻性临床登记处。我们分析了 2006 年 6 月至 2010 年 12 月期间接受减重手术的 25469 名患者的数据。单变量分析中的显著危险因素被纳入多变量逻辑回归模型,以确定与术后 30 天内严重并发症(危及生命和/或与持久残疾相关)相关的因素。采用自举重采样获得偏倚校正的置信区间和 C 统计量。

结果

总体而言,644 名患者(2.5%)经历了严重并发症。显著的危险因素(P<0.05)包括:既往静脉血栓栓塞症(VTE)(比值比[OR] 1.90,置信区间[CI] 1.41-2.54);活动能力受限(OR 1.61,CI 1.23-2.13);冠状动脉疾病(OR 1.53,CI 1.17-2.02);年龄超过 50 岁(OR 1.38,CI 1.18-1.61);肺部疾病(OR 1.37,CI 1.15-1.64);男性(OR 1.26,CI 1.06-1.50);吸烟史(OR 1.20,CI 1.02-1.40);以及手术类型(参考胃束带术):十二指肠转位术(OR 9.68,CI 6.05-15.49);腹腔镜胃旁路术(OR 3.58,CI 2.79-4.64);开放胃旁路术(OR 3.51,CI 2.38-5.22);袖状胃切除术(OR 2.46,CI 1.73-3.50)。C 统计量为 0.68(经偏倚校正后为 0.66),且该模型在预测风险的十分位数上具有良好的校准度。

结论

我们已经开发并验证了一种用于预测减重手术后严重并发症的基于人群的风险评分系统。我们预计,该评分系统将改善知情同意的流程,有助于为高风险患者选择手术方式,并允许在减重手术研究中进行更好的风险分层。

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