Beyette Fred R, Booher Blaine, Drennan James, Carraher Lee, Butler Josh, Bowman Peggy, Clark Joseph F, Wilsey Philip A
School of Electronics and Computing Systems, University of Cincinnati, OH 45221-0030, USA.
Annu Int Conf IEEE Eng Med Biol Soc. 2010;2010:915-8. doi: 10.1109/IEMBS.2010.5627481.
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 hours post symptom onset. For these patients (many of which have experience 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 paper presents the development of 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 hardware platform that is capable of collecting and analyzing optical absorbance spectra. A mathematical model for the hemorrhagic CSF sample is then developed using a PLSR based regression methodology that is able to differentiate between SAH and blood associated with the spinal tap. This differentiations in 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.
在北美,估计每年有30000名患者发生动脉瘤性蛛网膜下腔出血(SAH)。在这些患者中,约有5%由于在症状发作后超过12小时无法对血液进行成像,在计算机断层扫描上看不到出血情况。对于这些患者(其中许多人经历过作为更严重破裂先兆的哨兵出血),需要一种方法来准确分析脑脊液(CSF)以寻找SAH的证据。此外,有必要将与SAH相关的血液与与腰椎穿刺操作相关的血液区分开来。本文介绍了一种能够进行此类分析的即时检测设备的开发情况。独立的原型设备使用市售的嵌入式系统组件来实现一个能够收集和分析光吸收光谱的硬件平台。然后使用基于偏最小二乘回归(PLSR)的方法开发了一个出血性脑脊液样本的数学模型,该模型能够区分SAH和与腰椎穿刺相关的血液。这种区分是通过量化脑脊液中的胆红素(与陈旧血液的分解有关)来实现的。对原型设备的初步测试表明,该设备能够在血红蛋白存在的情况下,在与目标患者群体临床相关的浓度范围内对胆红素进行定量。