Caprini血栓风险评估模型预测妇科恶性肿瘤手术患者DVT风险的有效性研究

发布时间：2018-04-13 05:02

本文选题：Caprini风险评估模型 + 妇科手术　；参考：《东南大学学报(医学版)》2017年03期

【摘要】：目的:分析Caprini血栓风险评估模型在妇科恶性肿瘤手术患者下肢深静脉血栓形成(DVT)筛选中的有效性。方法:选择妇科恶性肿瘤手术住院患者中确诊为DVT的患者53例作为DVT组,同期入院的106例无DVT的妇科恶性肿瘤手术住院患者作为对照组。采用Caprini血栓风险评估模型对两组患者进行回顾性风险评分、DVT危险度分级。结果:DVT组患者Caprini评分明显高于对照组(7.8±2.6 vs 4.1±2.2,P0.001)。DVT组患者中极高危所占比例最高(56.6%),其次为高危(22.6%);对照组高危所占比例最高(30.2%),其次为低危(29.2%),两组构成差异有统计学意义(P0.001)。肥胖、肺炎(术后1个月内发生)、下肢水肿(1个月内)、大手术(1个月内)、恶性肿瘤(既往或现患)、DVT/PE疾病史、DVT/PE家族史等7个Caprini风险评估模型中的危险因素是妇科恶性肿瘤患者术后发生DVT的主要危险因素。极高危和高危患者是DVT发病的高危人群(发病风险分别为低危患者的12.743倍和2.132倍)。结论:Caprini血栓风险评估模型可以较好地预测妇科恶性肿瘤手术患者术后DVT的发病风险。
[Abstract]:Objective: to evaluate the effectiveness of Caprini thrombotic risk assessment model in the screening of deep venous thrombosis (DVT) in patients with gynecological malignancy.Methods: 53 patients with DVT were selected as DVT group and 106 patients without DVT as control group.The Caprini thrombotic risk assessment model was used to evaluate the risk of DVT in two groups.Results the Caprini score of the patients in the 1% DVT group was significantly higher than that in the control group (7.8 卤2.6 vs 4.1 卤2.2 P0.001N. DVT). The proportion of extremely high risk was the highest (56.6%), followed by high risk (22.6m) in the DVT group, and the highest in the control group (30.2%), followed by the low risk group (29.2B). The difference between the two groups was statistically significant (P 0.001).Obesity,Pneumonia (1 month after operation), edema of lower extremity (1 month), major operation (1 month), malignant tumor (previous or present history of DVT / PE), family history of DVT / PE, and so on, the risk factors of 7 Caprini risk assessment models are gynecological malignant tumor.The main risk factors of DVT after operation.Very high risk and high risk patients were high risk groups of DVT (12.743 times and 2.132 times of low risk patients, respectively).Conclusion the weight Caprini thrombus risk assessment model can predict the risk of postoperative DVT in patients with gynecological malignant tumor.
【作者单位】：湖北三峡职业技术学院附属医院;华中科技大学同济医学院附属协和医院;
【基金】：国家自然科学基金资助项目(81201720)
【分类号】：R737.3

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