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新型冠状病毒感染和深静脉血栓形成患者的临床和实验室特征。

Clinical and laboratory characteristics of patients with novel coronavirus disease-2019 infection and deep venous thrombosis.

机构信息

Division of Vascular Surgery, Department of Surgery, Indiana University School of Medicine, Indianapolis, Ind.

Division of Pulmonary & Critical Care, Department of Medicine, Indiana University School of Medicine, Indianapolis, Ind.

出版信息

J Vasc Surg Venous Lymphat Disord. 2021 May;9(3):605-614.e2. doi: 10.1016/j.jvsv.2020.10.006. Epub 2020 Oct 22.

Abstract

OBJECTIVE

Early reports suggest that patients with novel coronavirus disease-2019 (COVID-19) infection carry a significant risk of altered coagulation with an increased risk for venous thromboembolic events. This report investigates the relationship of significant COVID-19 infection and deep venous thrombosis (DVT) as reflected in the patient clinical and laboratory characteristics.

METHODS

We reviewed the demographics, clinical presentation, laboratory and radiologic evaluations, results of venous duplex imaging and mortality of COVID-19-positive patients (18-89 years) admitted to the Indiana University Academic Health Center. Using oxygen saturation, radiologic findings, and need for advanced respiratory therapies, patients were classified into mild, moderate, or severe categories of COVID-19 infection. A descriptive analysis was performed using univariate and bivariate Fisher's exact and Wilcoxon rank-sum tests to examine the distribution of patient characteristics and compare the DVT outcomes. A multivariable logistic regression model was used to estimate the adjusted odds ratio of experiencing DVT and a receiver operating curve analysis to identify the optimal cutoff for d-dimer to predict DVT in this COVID-19 cohort. Time to the diagnosis of DVT from admission was analyzed using log-rank test and Kaplan-Meier plots.

RESULTS

Our study included 71 unique COVID-19-positive patients (mean age, 61 years) categorized as having 3% mild, 14% moderate, and 83% severe infection and evaluated with 107 venous duplex studies. DVT was identified in 47.8% of patients (37% of examinations) at an average of 5.9 days after admission. Patients with DVT were predominantly male (67%; P = .032) with proximal venous involvement (29% upper and 39% in the lower extremities with 55% of the latter demonstrating bilateral involvement). Patients with DVT had a significantly higher mean d-dimer of 5447 ± 7032 ng/mL (P = .0101), and alkaline phosphatase of 110 IU/L (P = .0095) than those without DVT. On multivariable analysis, elevated d-dimer (P = .038) and alkaline phosphatase (P = .021) were associated with risk for DVT, whereas age, sex, elevated C-reactive protein, and ferritin levels were not. A receiver operating curve analysis suggests an optimal d-dimer value of 2450 ng/mL cutoff with 70% sensitivity, 59.5% specificity, and 61% positive predictive value, and 68.8% negative predictive value.

CONCLUSIONS

This study suggests that males with severe COVID-19 infection requiring hospitalization are at highest risk for developing DVT. Elevated d-dimers and alkaline phosphatase along with our multivariable model can alert the clinician to the increased risk of DVT requiring early evaluation and aggressive treatment.

摘要

目的

早期报告表明,新型冠状病毒病 2019(COVID-19)感染患者存在明显的凝血功能改变风险,静脉血栓栓塞事件风险增加。本研究旨在探讨 COVID-19 感染与深静脉血栓形成(DVT)之间的关系,通过患者的临床和实验室特征反映出来。

方法

我们回顾了印第安纳大学学术医疗中心收治的 18-89 岁 COVID-19 阳性患者的人口统计学、临床表现、实验室和影像学评估、静脉双功超声成像结果和死亡率。根据血氧饱和度、影像学表现和对高级呼吸治疗的需求,将患者分为 COVID-19 轻度、中度或重度感染类别。采用单变量和双变量 Fisher 精确检验和 Wilcoxon 秩和检验进行描述性分析,以检查患者特征的分布并比较 DVT 结局。采用多变量逻辑回归模型估计发生 DVT 的调整比值比,并进行受试者工作特征曲线分析以确定 COVID-19 队列中 D-二聚体的最佳截断值来预测 DVT。使用对数秩检验和 Kaplan-Meier 图分析从入院到诊断 DVT 的时间。

结果

本研究共纳入 71 例独特的 COVID-19 阳性患者(平均年龄 61 岁),其中 3%为轻度感染、14%为中度感染和 83%为重度感染,并进行了 107 次静脉双功超声检查。DVT 在入院后平均 5.9 天(占检查的 37%)时在 47.8%的患者中被发现。DVT 患者主要为男性(67%;P=.032),且静脉近端受累(29%上肢,39%下肢,其中 55%为双侧受累)。与无 DVT 患者相比,DVT 患者的平均 D-二聚体水平明显更高(5447±7032ng/mL;P=.0101),碱性磷酸酶水平也更高(110IU/L;P=.0095)。多变量分析显示,升高的 D-二聚体(P=.038)和碱性磷酸酶(P=.021)与 DVT 风险相关,而年龄、性别、C 反应蛋白和铁蛋白水平升高与 DVT 风险无关。受试者工作特征曲线分析提示 D-二聚体最佳截断值为 2450ng/mL,具有 70%的敏感性、59.5%的特异性和 61%的阳性预测值,68.8%的阴性预测值。

结论

本研究表明,需要住院治疗的重度 COVID-19 感染男性患者发生 DVT 的风险最高。升高的 D-二聚体和碱性磷酸酶以及我们的多变量模型可以提醒临床医生注意 DVT 风险增加,需要早期评估和积极治疗。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/06c6/7581378/96c8fd437ff8/gr1_lrg.jpg

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