Department of Intensive Care Medicine, Ente Ospedaliero Cantonale, Bellinzona, Switzerland -
Department of Intensive Care Medicine, Ente Ospedaliero Cantonale, Bellinzona, Switzerland.
Minerva Anestesiol. 2021 Dec;87(12):1330-1337. doi: 10.23736/S0375-9393.21.15510-5. Epub 2021 Oct 11.
The majority of prevalence studies on deep vein thrombosis (DVT) in severe COVID-19 patients are retrospective with DVT assessment based on clinical suspicion. Our aim was to prospectively and systematically estimate the occurrence of DVT in critically-ill mechanically-ventilated patients, and to identify potential risk factors for DVT occurrence and mortality.
All patients with COVID-19 admitted to our 45 beds in the Intensive Care Unit (ICU) between March 6, 2020, and April 18, 2020, requiring invasive ventilatory support were daily screened for DVT with lower extremities and jugular veins ultrasonography. Univariate and multivariable logistic regression models were performed in order to identify predictors of DVT and mortality.
Seventy-six patients were included in the final analysis (56 men, mean age 67 years, median SOFA=7 points, median SAPS II=41 points, median PaO
A high number of critically-ill mechanically-ventilated COVID-19 patients developed a DVT. The majority of DVTs were catheter-related and occurred under intensive prophylactic anticoagulation. Routine ultrasound of the jugular veins should be suggested in this patient population, and in particular in presence of a central venous catheter.
大多数关于严重 COVID-19 患者深静脉血栓形成(DVT)的流行率研究都是回顾性的,DVT 的评估基于临床怀疑。我们的目的是前瞻性和系统地估计重症机械通气患者中 DVT 的发生,并确定 DVT 发生和死亡率的潜在危险因素。
2020 年 3 月 6 日至 4 月 18 日期间,我们对入住重症监护病房(ICU)的 45 张床位的所有 COVID-19 患者进行了每日筛查,使用下肢和颈静脉超声检查 DVT。进行单变量和多变量逻辑回归模型,以确定 DVT 和死亡率的预测因素。
76 例患者纳入最终分析(56 例男性,平均年龄 67 岁,中位数 SOFA=7 分,中位数 SAPS II=41 分,中位数 PaO
大量重症机械通气的 COVID-19 患者发生 DVT。大多数 DVT 与导管有关,且在强化预防性抗凝治疗下发生。建议对该患者人群,特别是在存在中心静脉导管的情况下,对颈静脉进行常规超声检查。