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对于血管外科患者,手术变量比患者特征更能预测出院后感染和非计划再入院情况。

Operative variables are better predictors of postdischarge infections and unplanned readmissions in vascular surgery patients than patient characteristics.

作者信息

Hicks Caitlin W, Bronsert Michael, Hammermeister Karl E, Henderson William G, Gibula Douglas R, Black James H, Glebova Natalia O

机构信息

Division of Vascular Surgery and Endovascular Therapy, Department of Surgery, Johns Hopkins Hospital, Baltimore, Md.

Adult and Child Center for Outcomes Research and Delivery Science (ACCORDS), School of Medicine, University of Colorado Denver, Aurora, Colo.

出版信息

J Vasc Surg. 2017 Apr;65(4):1130-1141.e9. doi: 10.1016/j.jvs.2016.10.086. Epub 2016 Dec 22.

DOI:10.1016/j.jvs.2016.10.086
PMID:28017586
Abstract

OBJECTIVE

Although postoperative readmissions are frequent in vascular surgery patients, the reasons for these readmissions are not well characterized, and effective approaches to their reduction are unknown. Our aim was to analyze the reasons for vascular surgery readmissions and to report potential areas for focused efforts aimed at readmission reduction.

METHODS

The 2012 to 2013 American College of Surgeons National Quality Improvement Program (ACS NSQIP) data set was queried for vascular surgery patients. Multivariable models were developed to analyze risk factors for postdischarge infections, the major drivers of unplanned 30-day readmissions.

RESULTS

We identified 86,403 vascular surgery patients for analysis. Thirty-day readmission occurred in 8827 (10%), of which 8054 (91%) were unplanned. Of the unplanned readmissions, 61% (n = 4951) were related to the index vascular surgery procedure. Infectious complications were the most common reason for a surgery-related readmission (1940 [39%]), with surgical site infection being the most common type of infection related to unplanned readmission. Multivariable analysis showed the top five preoperative risk factors for postdischarge infections were the presence of a preoperative open wound, inpatient operation, obesity, work relative value unit, and insulin-dependent diabetes (but not diabetes managed with oral medications). Cigarette smoking was a weak predictor and came in tenth in the mode (overall C index, 0.657). When operative and postoperative factors were included in the model, total operative time was the strongest predictor of postdischarge infectious complications (odds ratio [OR] 1.2 for each 1-hour increase in operative time), followed by presence of a preoperative open wound (OR, 1.5), inpatient operation (OR, 2), obesity (OR, 1.8), and discharge to rehabilitation facility (OR, 1.7; P < .001 for all). Insulin-dependent diabetes, cigarette smoking, dialysis dependence, and female gender were also predictive, albeit with smaller effects (OR, 1.1-1.3 for all; P < .001). The overall fit of the multivariable model was fair (C statistic, 0.686).

CONCLUSIONS

Infectious complications dominate the reasons for unplanned 30-day readmissions in vascular surgery patients. We have identified preoperative, operative, and postoperative risk factors for these infections with the goal of reducing these complications and thus readmissions. Expected patient risk factors, such as diabetes, obesity, renal insufficiency, and cigarette smoking, were less important in predicting infectious complications compared with operative time, presence of a preoperative open wound, and inpatient operation. Our findings suggest that careful operative planning and expeditious operations may be the most effective approaches to reducing infections and thus readmissions in vascular surgery patients.

摘要

目的

尽管血管外科患者术后再入院情况很常见,但这些再入院的原因并未得到充分描述,且减少再入院的有效方法尚不清楚。我们的目的是分析血管外科再入院的原因,并报告旨在减少再入院的重点努力的潜在领域。

方法

查询2012年至2013年美国外科医师学会国家质量改进计划(ACS NSQIP)数据集以获取血管外科患者信息。开发多变量模型以分析出院后感染的危险因素,而出院后感染是计划外30天再入院的主要驱动因素。

结果

我们确定了86403例血管外科患者进行分析。30天再入院患者有8827例(10%),其中8054例(91%)为计划外再入院。在计划外再入院患者中,61%(n = 4951)与首次血管外科手术相关。感染并发症是与手术相关再入院的最常见原因(1940例[39%]),手术部位感染是与计划外再入院相关的最常见感染类型。多变量分析显示,术前出院后感染的前五个危险因素是术前存在开放性伤口、住院手术、肥胖、工作相对价值单位和胰岛素依赖型糖尿病(但不包括口服药物治疗的糖尿病)。吸烟是一个较弱的预测因素,在模型中排名第十(总体C指数为0.657)。当将手术和术后因素纳入模型时,总手术时间是出院后感染并发症的最强预测因素(手术时间每增加1小时,比值比[OR]为1.2),其次是术前存在开放性伤口(OR为1.5)、住院手术(OR为2)、肥胖(OR为1.8)和转至康复机构(OR为1.7;所有P <.001)。胰岛素依赖型糖尿病、吸烟、透析依赖和女性性别也具有预测性,尽管影响较小(所有OR为1.1 - 1.3;P <.001)。多变量模型的整体拟合度一般(C统计量为0.686)。

结论

感染并发症是血管外科患者计划外30天再入院的主要原因。我们已经确定了这些感染的术前、术中和术后危险因素,目标是减少这些并发症,从而减少再入院情况。与手术时间、术前存在开放性伤口和住院手术相比,预期的患者危险因素,如糖尿病、肥胖、肾功能不全和吸烟,在预测感染并发症方面不太重要。我们的研究结果表明,精心的手术规划和迅速的手术可能是减少血管外科患者感染和再入院的最有效方法。

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