Beal Eliza W, Tumin Dmitry, Chakedis Jeffery, Porter Erica, Moris Dimitrios, Zhang Xu-Feng, Abdel-Misih Sherif, Dillhoff Mary, Manilchuk Andrei, Cloyd Jordan, Schmidt Carl R, Pawlik Timothy M
Department of Surgery, Division of Surgical Oncology, The Ohio State University Wexner Medical Center and James Cancer Hospital and Solove Research Institute, Columbus, OH, USA.
The Department of Anesthesiology and Pain Medicine, Nationwide Children's Hospital, Columbus, OH, USA.
HPB (Oxford). 2018 Jul;20(7):621-630. doi: 10.1016/j.hpb.2018.01.004. Epub 2018 Feb 19.
The objective of the current study was to define risk factors associated with the 30-day post-operative risk of VTE after HPB surgery and create a model to identify patients at highest risk of post-discharge VTE.
Patients who underwent hepatectomy or pancreatectomy in the ACS-NSQIP Participant Use Files 2011-2015 were identified. Logistic regression modeling was used; a model to predict post-discharge VTE was developed. Model discrimination was tested using area under the curve (AUC).
Among 48,860 patients, the overall 30-day incidence of VTE after hepatectomy and pancreatectomy was 3.2% (n = 1580) with 1.1% (n = 543) of VTE events occurring after discharge. Patients who developed post-discharge VTE were more likely to be white, had a higher median BMI, have undergone pancreatic surgery, had longer median operative times, and to have had a transfusion. A weighted prediction model demonstrated good calibration and fair discrimination (AUC = 0.63). A score of ≥-4.50 had maximum sensitivity and specificity, resulting in 44% of patients being treating with prophylaxis for an overall VTE risk of 1.1%.
Utilizing independent factors associated with post-discharge VTE, a prediction model was able to stratify patients according to risk of VTE and may help identify patients who are most likely to benefit from pharmacoprophylaxis.
本研究的目的是确定与肝胰胆手术(HPB)术后30天静脉血栓栓塞(VTE)风险相关的危险因素,并创建一个模型来识别出院后发生VTE风险最高的患者。
在2011 - 2015年美国外科医师协会国家外科质量改进计划(ACS - NSQIP)参与者使用文件中,识别接受肝切除术或胰腺切除术的患者。采用逻辑回归建模;开发了一个预测出院后VTE的模型。使用曲线下面积(AUC)测试模型的辨别力。
在48860例患者中,肝切除和胰腺切除术后30天VTE的总体发生率为3.2%(n = 1580),其中1.1%(n = 543)的VTE事件发生在出院后。出院后发生VTE的患者更可能是白人,中位体重指数(BMI)较高,接受过胰腺手术,中位手术时间较长,且接受过输血。一个加权预测模型显示出良好的校准和中等辨别力(AUC = 0.63)。评分≥ - 4.50时具有最大敏感性和特异性,导致44%的患者接受预防治疗,总体VTE风险为1.1%。
利用与出院后VTE相关的独立因素,一个预测模型能够根据VTE风险对患者进行分层,并可能有助于识别最有可能从药物预防中获益的患者。