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1. 浙江省桐乡市第二人民医院超声科
2. 浙江中医药大学附属第三医院超声科
3. 浙江省桐乡市第二人民医院脑外科
纸质出版日期:2021,
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[1]沈恵英,盛晓杰,柯巧航,刘雪刚,张建设,沈小平.经颅多普勒预测颅脑损伤后颅内高压综合征的价值[J].临床超声医学杂志,2021,23(02):105-109.
SHEN Huiying, SHENG Xiaojie, KE Qiaohang, et al. Value of transcranial Doppler in predicting intracranial hypertension after craniocerebral injury[J]. Journal of Clinical Ultrasound in Medicine, 2021,23(2):105-109.
[1]沈恵英,盛晓杰,柯巧航,刘雪刚,张建设,沈小平.经颅多普勒预测颅脑损伤后颅内高压综合征的价值[J].临床超声医学杂志,2021,23(02):105-109. DOI: 10.16245/j.cnki.issn1008-6978.2021.02.010.
SHEN Huiying, SHENG Xiaojie, KE Qiaohang, et al. Value of transcranial Doppler in predicting intracranial hypertension after craniocerebral injury[J]. Journal of Clinical Ultrasound in Medicine, 2021,23(2):105-109. DOI: 10.16245/j.cnki.issn1008-6978.2021.02.010.
目的应用经颅多普勒检测大脑中动脉(MCA)血流动力学参数
探讨其预测颅脑损伤后颅内高压综合征(ICH)的价值。方法前瞻性选择颅脑外伤患者122例
均接受经颅多普勒(TCD)监测
每天1次
最长7 d
若患者出现失代偿表现则停止检测。根据患者在检测期内是否出现ICH分为ICH组35例和非ICH组87例。记录MCA的收缩期峰值速度(Vs)、舒张期末速度(Vd)、平均速度(Vm)、搏动指数(PI)及阻力指数(RI)
计算各参数对应的最大变化值和平均变化值(ΔVsMax和ΔVsMean、ΔVdMax和ΔVdMean、ΔVmMax和ΔVmMean、ΔRIMean和ΔRIMax、ΔPIMean和ΔPIMax)
并对两组进行比较;分析MCA血流动力学参数随时间变化的趋势。采用COX回归筛选ICH风险的独立预测指标
绘制受试者工作特征(ROC)曲线分析其预测ICH发生风险的诊断效能。结果非ICH组MCA血流动力学参数Vs、Vm、Vd随监测时间均呈下降趋势
RI和PI呈上升趋势。与非ICH组比较
ICH组ΔPIMax值增大(P=0.014);其余参数比较差异均无统计学意义。COX回归分析提示
ΔPIMax是ICH发生风险的独立预测因子(HR=1.710
P=0.027)。ROC曲线分析显示
ΔPIMax截断值为0.148
预测ICH发生风险的曲线下面积为0.904
敏感性为80.00%
特异性为90.80%。结论应用经颅多普勒可监测MCA血流动力学变化
其中ΔPIMax能准确预测颅脑损伤后ICH的发生。
Objective To explore the value of transcranial Doppler(TCD) hemodynamic parameters in predicting intracranial hypertension(ICH) after craniocerebral injury.Methods A total of 122 patients with craniocerebral injury were prospectively enrolled and received TCD monitoring once a day for up to 7 d.The test would be stopped if the patients showed decompensation.According to the presence of ICH
patients were divided into ICH group(n=35) and non-ICH group(n=87).The peak systolic velocity(Vs)
end diastolic velocity(Vd)
mean velocity(Vm)
pulsatility index(PI)
and resistance index(RI) of middle cerebral artery(MCA) were recorded.The maximum and mean values of each parameter ΔVs
Max
and ΔV
Mean
ΔVd
Max
andΔVd
Mean
△Vm
Max
and △Vm
Mean
ΔRI
Mean
and ΔRI
Max
ΔPI
Mean
and ΔPI
Max
were calculated and compared.The trend of MCA hemodynamic parameters over time was analyzed.COX regression analysis was used to screen independent predictors for the risk of ICH
and the ROC curve was drawn to analyze the diagnostic efficacy in identifying ICH.Results The MCA hemodynamic parameters(Vs
Vm
and Vd) of patients in the non-ICH group showed a downward trend during the monitoring time
while RI and PI showed an upward trend.Compared with the non-ICH group
the ΔPI
Max
value in the ICH group was increased(P=0.014).COX regression analysis indicated that ΔPI
Max
was an independent predictor of ICH(HR=1.710
P=0.027).ROC curve analysis indicated that ΔPI
Max
was a good indicator for identifying ICH(AUC=0.904)
cut-off value was 0.148
the sensitivity and specificity were 80.00% and 90.80%
respectively.Conclusion ΔPI
Max
of MCA can accurately identify ICH
and is hope to be used as a new indicator to predict ICH.
超声检查多普勒彩色经颅血流动力学参数颅脑损伤颅内压失代偿期
UltrasonographyDopplercolortranscranialHemodynamic parametersCraniocerebral injuryIntracranial pressureDecompensated period
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