Department of Neurology, Sanjay Gandhi Postgraduate Institute of Medical Sciences, Raebareli Road, Lucknow, Uttar Pradesh, 226014, India.
Transl Stroke Res. 2018 Dec;9(6):575-581. doi: 10.1007/s12975-017-0607-6. Epub 2018 Jan 10.
We report the burden of risk factors in cerebral venous sinus thrombosis (CVST) and its relationship with the clinical severity, extent of MRI and MRV abnormality, and outcome. One hundred and twenty-eight consecutive patients with CVST were included. Their demographic, presenting symptoms and neurological findings were noted and risk factors of CVST were evaluated. The outcomes were assessed using modified Rankin Scale (mRS). Based on the risk factors, the patients could be categorized as prothrombotic conditions only in 46 (35.9%), prothrombotic with other risk factors in 36 (28.1%), non-prothrombotic risk factors in 20 (15.6%), and no risk factors in 26 (20.3%). More than two risk factors were present in 33 (25.8%). Sixteen out of 22 (72.7%) patients with female gender-specific risk factors also had other prothrombotic conditions. On MRV, more than two sinuses were involved in 35 (27.3%) patients and 94 (73.4%) patients had parenchymal lesions on MRI. Thirty-one (24.2%) patients had poor outcome (mRS > 2) at discharge and 25/122 (20.5%) at 3 months. The number of risk factors was not related to clinical severity and extent of MRI or MRV abnormality. On multivariate analysis, age (OR 1.05, 95%CI 1.00-1.09, P = 0.03), GCS score (OR 5.30, 95%CI 1.25-22.24, P = 0.02), and mechanical ventilation (OR 196.17, 95%CI 16.05, P = 0.001) predicted the outcome at 3 months.
我们报告了脑静脉窦血栓形成(CVST)的危险因素负担及其与临床严重程度、MRI 和 MRV 异常程度和结局的关系。共纳入 128 例连续 CVST 患者。记录了他们的人口统计学、临床表现和神经系统发现,并评估了 CVST 的危险因素。使用改良 Rankin 量表(mRS)评估结局。根据危险因素,患者可分为单纯血栓形成因素组 46 例(35.9%)、血栓形成因素伴其他危险因素组 36 例(28.1%)、非血栓形成危险因素组 20 例(15.6%)和无危险因素组 26 例(20.3%)。超过两种危险因素的患者有 33 例(25.8%)。22 例女性特发性危险因素患者中,有 16 例(72.7%)还存在其他血栓形成因素。MRV 上,35 例(27.3%)患者累及超过两个窦,94 例(73.4%)患者 MRI 上有实质病变。31 例(24.2%)患者出院时预后不良(mRS > 2),122 例中有 25 例(20.5%)在 3 个月时预后不良。危险因素的数量与临床严重程度、MRI 或 MRV 异常程度无关。多变量分析显示,年龄(OR 1.05,95%CI 1.00-1.09,P = 0.03)、GCS 评分(OR 5.30,95%CI 1.25-22.24,P = 0.02)和机械通气(OR 196.17,95%CI 16.05,P = 0.001)可预测 3 个月时的结局。