Rapid Identification of Pathogenic Bacteria and Sepsis Diagnosis

病原菌快速鉴定及脓毒症诊断

• 批准号: 8252659
• 负责人: Ray Anthony Martino
• 金额: $ 30万
• 依托单位: ISENSE, LLC
• 依托单位国家: 美国
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-03-15 至 2013-02-28
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8252659
• 关键词: Affect; Antibiotic Therapy; Antibiotics; Bacteria; Biological Markers; Blood; Breath Tests; Cause of Death; Clinical; Collaborations; Critical Illness; Detection; Development; Diagnosis; Diagnostic; Diagnostic Procedure; Disease; Drug resistance; Elderly; Feasibility Studies; Future; Goals; Growth; Health; Health Care Costs; Hour; Immune; Intensive Care Units; Liquid substance; Malignant neoplasm of lung; Medical; Metabolic; Monitor; Optical Readers; Patients; Phase; Pigments; Reader; Research; Sepsis; Sinusitis; Solid; System; Technology; Testing; Time; Work; base; clinically relevant; cost; design; health care quality; improved; medical schools; microorganism culture; mortality; novel; pathogen; pathogenic bacteria; point of care; prototype; research study; response; sensor; software development; tool

DESCRIPTION (provided by applicant): Sepsis is a common and frequently fatal condition with a mortality rate that ranges from 20% to 50% for severely affected patients. It is the second leading cause of death in the U.S. among patients in non-coronary intensive care units and the 10th leading cause of death overall. It is a rapidly increasing health concern, especially for elderly, immune-compromised, or critically ill patients. Blood culturing with automated liquid culture systems is the standard test for identifying the pathogenic bacteria involved in sepsis, but it is slow and insufficiently sensitive for slow- growing bacteria or in patients pretreated wih antibiotics. iSense, LLC has a novel sensor technology that can simultaneously detect and identify the causative bacteria by sensing metabolic volatiles, and do so after only four hours of blood culture incubation: a substantial improvement in time to diagnosis. In collaboration with the Stanford School of Medicine, iSense has evaluated the new nanoporous pigment-based colorimetric sensor array's ability to detect and identify 33 different microorganisms cultured in Petri dishes and drawn from reference strains and clinical isolates from 14 clinically relevant pathogen species. Over 400 experiments were performed on solid media in Petri dish, yielding 99% accuracy for species identification. We propose to adapt this sensor matrix to develop a prototype system that can be used to detect and identify causative bacteria in blood culture bottles. If successful, iSense technology could revolutionize the sepsis diagnostic method, dramatically improving the quality of health care while reducing its cost. PUBLIC HEALTH RELEVANCE: The proposed research effort will develop and test a novel high-dimensional colorimetric sensor array technology for the detection and identification of bacteria responsible for sepsis. The proposed effort, if successful, will yield a rapid diagnostic tool for sepsis, allowing prompt delivery of appropriate antibiotic treatment and reduced health care costs.

描述（由申请人提供）：脓毒症是一种常见且经常致命的疾病，严重感染患者的死亡率为 20% 至 50%。它是美国非冠心病重症监护病房患者的第二大死因，也是整体第十大死因。这是一个迅速增长的健康问题，特别是对于老年人、免疫功能低下或危重患者而言。使用自动液体培养系统进行血液培养是识别脓毒症致病菌的标准测试，但其速度缓慢且对于生长缓慢的细菌或接受抗生素预处理的患者不够敏感。 iSense, LLC 拥有一种新颖的传感器技术，可以通过感测代谢挥发物同时检测和识别致病细菌，并且只需四个小时的血培养孵育即可完成：大大缩短了诊断时间。 iSense 与斯坦福大学医学院合作，评估了新型纳米多孔色素比色传感器阵列检测和识别培养皿中培养的 33 种不同微生物的能力，这些微生物是从 14 种临床相关病原体物种的参考菌株和临床分离株中提取的。在培养皿中的固体培养基上进行了 400 多次实验，物种鉴定的准确度达到 99%。我们建议采用该传感器矩阵来开发一个原型系统，可用于检测和识别血培养瓶中的致病细菌。如果成功，iSense 技术可能会彻底改变脓毒症诊断方法，显着提高医疗保健质量，同时降低成本。 公共健康相关性：拟议的研究工作将开发和测试一种新型高维比色传感器阵列技术，用于检测和识别导致败血症的细菌。如果成功的话，拟议的努力将产生一种脓毒症的快速诊断工具，从而能够及时提供适当的抗生素治疗并降低医疗保健成本。