Turrentine Florence E, Sohn Min-Woong, Wilson Susan L, Stanley Crockett, Novicoff Wendy, Sawyer Robert G, Williams Michael D
Department of Surgery, University of Virginia, Charlottesville, Virginia.
Department of Public Health Sciences, University of Virginia, Charlottesville, Virginia.
J Surg Res. 2018 May;225:148-156. doi: 10.1016/j.jss.2018.01.013. Epub 2018 Feb 21.
Deep venous thrombosis and pulmonary embolus are leading preventable causes of death after surgery. Venous thromboembolism (VTE) prophylaxis management guidelines, with evidenced-based recommendations, are available in the literature. However, over 40% of "at-risk" surgical patients fail to receive appropriate VTE prophylaxis. Decision support-based interventions to reduce venous thromboembolic events were explored.
A venous thromboembolic risk stratification tool embedded in the electronic medical record, Epic, linking risk category to venous thromboembolic prophylaxis order sets was created, implemented, and analyzed for general surgery patients. Logistic regression analysis was used to compare rates of venous thromboembolic events before and after the intervention, controlling for age, gender, race, body mass index, inpatient status, transfer status, elective/emergent case status, American Society of Anesthesiologists classification, and wound classification.
Venous thromboembolic events in the preintervention and postintervention periods were 55 (1.25%) and 12 (0.64%), respectively (P = 0.033). All-cause mortality events decreased after intervention from 49 (1.12%) to 14 (0.75%; P = 0.187). Multivariable analyses show that the risk of a venous thromboembolic event after intervention was half (odds ratio = 0.532; 95% confidence interval, 0.284-0.997; P = 0.049) as likely compared to that in the preintervention period. From 2012 to 2015, our institution moved from the ninth decile (poor) to the first decile (best) for the incidence of venous thromboembolic events among 760 National Surgical Quality Improvement Program hospitals across the nation.
Postoperative thromboembolic events decreased after implementation of a VTE risk stratification tool, linking risk category to venous thromboembolic prophylaxis order sets, embedded in the electronic medical record, Epic.
深静脉血栓形成和肺栓塞是手术后可预防的主要死亡原因。文献中有基于循证建议的静脉血栓栓塞(VTE)预防管理指南。然而,超过40%的“高危”手术患者未接受适当的VTE预防。本研究探索了基于决策支持的干预措施以减少静脉血栓栓塞事件。
创建、实施并分析了一种嵌入电子病历Epic中的静脉血栓栓塞风险分层工具,该工具将风险类别与普通外科患者的静脉血栓栓塞预防医嘱集相关联。采用逻辑回归分析比较干预前后静脉血栓栓塞事件的发生率,并对年龄、性别、种族、体重指数、住院状态、转院状态、择期/急诊病例状态、美国麻醉医师协会分级和伤口分级进行控制。
干预前期和干预后期的静脉血栓栓塞事件分别为55例(1.25%)和12例(0.64%)(P = 0.033)。干预后全因死亡事件从49例(1.12%)降至14例(0.75%;P = 0.187)。多变量分析显示,与干预前期相比,干预后发生静脉血栓栓塞事件的风险降低了一半(比值比 = 0.532;95%置信区间,0.284 - 0.997;P = 0.049)。从2012年到2015年,在全国760家参与国家外科质量改进计划的医院中,我院的静脉血栓栓塞事件发生率从第九十分位数(较差)跃升至第一十分位数(最佳)。
在电子病历Epic中嵌入将风险类别与静脉血栓栓塞预防医嘱集相关联的VTE风险分层工具后,术后血栓栓塞事件减少。