Suppr超能文献

帕多瓦风险评估量表评估住院患者深静脉血栓形成风险的有效性

[Validity of Padua risk assessment scale for assessing the risk of deep venous thrombosis in hospitalized patients].

作者信息

Chen X L, Pan L, Wang Y

机构信息

Department of Respiratory and Critical Care Medicine, Beijing Shijitan Hospital, Capital Medical University, Beijing 100038, China.

出版信息

Zhonghua Nei Ke Za Zhi. 2018 Jul 1;57(7):514-517. doi: 10.3760/cma.j.issn.0578-1426.2018.07.009.

Abstract

To analyze the clinical features of deep venous thrombosis(DVT) in hospitalized patients and evaluate the effectiveness of Padua risk assessment model.The clinical data of DVT patients were retrospectively analyzed in Beijing Shijitan Hospital from April 1 2017 to June 30, 2017.Padua risk assessment scale was used to evaluate the risk score of DVT in the departments of internal medicine and surgery. Effectiveness of predicting DVT was analyzed by receiver operating characteristic curve (ROC).Logistic regression analysis was used to evaluate the related factors of DVT.In DVT group, age (0.96),acute infection(8.23),prothrombin time(0.76),D dimer(1.00),erythrocyte sedimentation rate(1.02) and platelet count(1.01) were significantly associated with thrombosis(all 0.05).The specificity of Padua model to predict DVT in internal medical patients was better than the sensitivity(80.7% vs. 50%,0.05).Surgical patients reported similar findings with specificity to sensitivity of 87.5% vs. 67.5%(0.05).The area under curve of ROC in internal medical patients was more than that in surgical patients[0.62 (95% 0.59-0.67) vs.0.61(95% 0.56-0.66), 0.05].Padua model is more specific than sensitive to predict DVT in hospitalized patients.It has better predictive value of DVT in internal medical patients than surgical patients.

摘要

分析住院患者深静脉血栓形成(DVT)的临床特征并评估帕多瓦风险评估模型的有效性。回顾性分析2017年4月1日至2017年6月30日在北京世纪坛医院住院的DVT患者的临床资料。采用帕多瓦风险评估量表对内科和外科各科室DVT的风险评分进行评估。通过受试者工作特征曲线(ROC)分析预测DVT的有效性。采用Logistic回归分析评估DVT的相关因素。在DVT组中,年龄(0.96)、急性感染(8.23)、凝血酶原时间(0.76)、D-二聚体(1.00)、红细胞沉降率(1.02)和血小板计数(1.01)与血栓形成显著相关(均P<0.05)。帕多瓦模型预测内科患者DVT的特异性优于敏感性(80.7%对50%,P<0.05)。外科患者的结果相似,特异性与敏感性分别为87.5%对67.5%(P<0.05)。内科患者ROC曲线下面积大于外科患者[0.62(95%CI 0.59-0.67)对0.61(95%CI 0.56-0.66),P<0.05]。帕多瓦模型预测住院患者DVT时特异性高于敏感性。其对内科患者DVT的预测价值优于外科患者。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验