University of Vermont College of Medicine and Fletcher Allen Health Care, Colchester, VT 05446, USA.
J Thromb Haemost. 2013 Apr;11(4):634-41. doi: 10.1111/jth.12147.
We sought to define the risk factors present at admission for venous thromboembolism (VTE) in medical inpatients and develop a risk model for clinical use.
Between January 2002 and June 2009, 299 cases of hospital-acquired VTE were frequency matched to 601 controls. Records were abstracted using a standard form for characteristics of the thrombosis, medical conditions and other risk factors. Weighted logistic regression and survey methods were used to develop a risk model for hospital-acquired VTE that was validated by bootstrapping.
VTE complicated 4.6 per 1000 admissions. Two risk assessment models were developed, one using laboratory data available at admission (Model 1) and the other excluding laboratory data (Model 2). Model 1 consisted of the following risk factors (points): history of congestive heart failure (5), history of inflammatory disease (4), fracture in the past 3 months (3), history of VTE (2), history of cancer in the past 12 months (1), tachycardia (2), respiratory dysfunction (1), white cell count ≥ 11 × 10(9) /L (1), and platelet count ≥ 350 × 10(9) /L (1). Model 2 was similar, except respiratory dysfunction had 2 points and white cell and platelet counts were removed. The c-statistic for Model 1 was 0.73 (95% CI 0.70, 0.77) and for Model 2 0.71 (95% CI 0.68, 0.75).
We present a VTE risk assessment model for use in medical inpatients. The score is simple and relies on information known at the time of admission and typically collected in all medical inpatients. External validation is needed.
我们旨在确定住院患者静脉血栓栓塞症(VTE)入院时的危险因素,并建立一个用于临床的风险模型。
2002 年 1 月至 2009 年 6 月,299 例医院获得性 VTE 病例与 601 例对照病例进行频率匹配。使用标准表格记录血栓形成的特征、医疗状况和其他危险因素。使用加权逻辑回归和调查方法建立了医院获得性 VTE 的风险模型,并通过自举法进行验证。
VTE 占住院患者的 4.6%。建立了两个风险评估模型,一个使用入院时可获得的实验室数据(模型 1),另一个不使用实验室数据(模型 2)。模型 1 包括以下危险因素(积分):充血性心力衰竭史(5 分)、炎症性疾病史(4 分)、过去 3 个月骨折(3 分)、VTE 史(2 分)、过去 12 个月癌症史(1 分)、心动过速(2 分)、呼吸功能障碍(1 分)、白细胞计数≥11×10(9)/L(1 分)和血小板计数≥350×10(9)/L(1 分)。模型 2 相似,只是呼吸功能障碍有 2 分,白细胞和血小板计数被删除。模型 1 的 C 统计量为 0.73(95%CI 0.70,0.77),模型 2 为 0.71(95%CI 0.68,0.75)。
我们提出了一个用于住院患者的 VTE 风险评估模型。该评分简单,依赖于入院时已知的信息,通常在所有住院患者中收集。需要进行外部验证。