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用于定量检测脑脊液中胆红素的设备。

Device for quantification of bilirubin in cerebral spinal fluid.

机构信息

School of Electronics and Computing Systems, University of Cincinnati, Cincinnati, OH 45221-0030, USA.

出版信息

IEEE Trans Biomed Eng. 2011 Mar;58(3):773-6. doi: 10.1109/TBME.2011.2108653. Epub 2011 Jan 31.

Abstract

In North America, an estimated 30,000 patients annually experience an aneurysmal subarachnoid hemorrhage (SAH). In approximately five percent of these patients, the hemorrhage is not visible on computerized tomography scans due to the inability to image blood at time intervals greater than 12 h post symptom onset. For these patients (many of which have experienced a sentinel hemorrhage that is a precursor to a more significant rupture), a method is needed for accurately analyzing cerebral spinal fluid (CSF) for evidence of SAH. Further, it is necessary to differentiate blood associated with the SAH from blood associated with the spinal tap procedure. This letter presents a point-of-care device that is capable of performing such an analysis. The stand-alone prototype device uses commercially available embedded system components to implement a point-of-care device that is capable of collecting and analyzing optical absorbance spectra. A mathematical model for the hemorrhagic CSF sample is then developed by using a partial-least-squares-regression-based regression methodology that is able to differentiate between SAH and blood associated with the spinal tap. This differentiation is achieved by quantifying bilirubin (associated with the breakdown of old blood) in the CSF. Initial testing on the prototype device suggests that the device is able to quantify bilirubin in the presence of hemoglobin over concentrations ranges that are clinically relevant to the patient population of interest.

摘要

在北美,每年约有 3 万名患者经历颅内动脉瘤性蛛网膜下腔出血(SAH)。在这些患者中,大约有 5%的患者由于在症状发作后 12 小时以上的时间间隔内无法对血液进行成像,因此计算机断层扫描(CT)扫描无法显示出血。对于这些患者(其中许多患者经历了预示着更严重破裂的先兆性出血),需要一种方法来准确分析脑脊液(CSF)中是否存在蛛网膜下腔出血的证据。此外,有必要区分与蛛网膜下腔出血相关的血液与与脊髓穿刺程序相关的血液。这封信介绍了一种能够进行此类分析的即时护理设备。该独立原型设备使用市售的嵌入式系统组件来实现一种即时护理设备,该设备能够采集和分析光吸收光谱。然后,通过使用基于偏最小二乘回归的回归方法,为出血性 CSF 样本建立了一个数学模型,该方法能够区分蛛网膜下腔出血和与脊髓穿刺相关的血液。这种区分是通过量化 CSF 中的胆红素(与旧血分解有关)来实现的。对原型设备的初步测试表明,该设备能够在与感兴趣的患者群体相关的临床相关浓度范围内,在血红蛋白存在的情况下定量胆红素。

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