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首页> 外文期刊>BMC Neurology >Application of combined cerebrospinal fluid physicochemical parameters to detect intracranial infection in neurosurgery patients
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Application of combined cerebrospinal fluid physicochemical parameters to detect intracranial infection in neurosurgery patients

机译:组合脑脊液物理化学参数检测神经外科患者颅内感染的应用

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Routine test of cerebrospinal fluid (CSF), such as glucose concentrations, chloride ion, protein and leukocyte, as well as color, turbidity and clot, were important indicators for intracranial infection. However, there were no models to predict the intracranial infection with these parameters. We collected data of 221 cases with CSF positive-culture and 50 cases with CSF negative culture from January 1, 2016 to December 31, 2018 in the First Affiliated Hospital of Nanchang University, China. SPSS17.0 software was used to establish the model by adopting seven described indicators, and P??0.05 was considered as statistically significant. Meanwhile, 40 cases with positive-culture and 10 cases with negative-culture were selected to verify the sensitivity and specificity of the model. The results showed that each parameter was significant in the model establishment (P??0.05). To extract the above seven parameters, the interpretation model C was established, and C?=?0.952–0.183?×?glucose value (mmol/L) - 0.024?×?chloride ion value (mmol/L)- 0.000122?×?protein value (mg/L) - 0.0000859?×?number of leukocytes per microliter (×?106/L)?+?1.354?×?color number code +?0.236?×?turbidity number code +?0.691?×?clot number code. In addition, the diagnostic sensitivity and specificity of the model were 85.0 and 100%, respectively. The combining application of seven physicochemical parameters of CSF might be of great value in the diagnosis of intracranial infection for adult patients.
机译:脑脊液(CSF)的常规测试,例如葡萄糖浓度,氯离子,蛋白质和白细胞,以及颜色,浊度和凝块,是颅内感染的重要指标。然而,没有模型来预测具有这些参数的颅内感染。我们收集了221例CSF阳性文化案例的数据,并于2016年1月1日至2018年1月1日在中国南昌大学附属第一医院的50例CSF消极文化。 SPSS17.0软件用于通过采用七个描述的指示器来建立模型,并且P?<?0.05被认为是统计学上显着的。同时,选择了40例阳性培养和10例患有阴性培养的病例,以验证模型的敏感性和特异性。结果表明,在模型建立中,每个参数都很重要(P?<?0.05)。为了提取上述七个参数,建立了解释模型C,C?=?= 0.952-0.183?×α×咯咯(MMOL / L) - 0.024?×氯离子值(MMOL / L) - 0.000122?×?蛋白质值(mg / l) - 0.0000859?×?每微升白细胞的数量(×106 / L)?+?1.354?×××0×x?颜色编号代码+?0.236?×?浊度编号代码+?0.691?×x凝块编号代码。此外,模型的诊断敏感性和特异性分别为85.0和100%。七个物理化学参数的CSF的结合施用在成人患者颅内感染的诊断中可能具有很大的价值。

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