利用纳米结构生物传感器加强护理点尿路感染 (UTI) 诊断:综述论文

Songlin Yang, Fernanda Gabrigna Berto, John Denstedt, Howyn Tang, Jin Zhang
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引用次数: 0

摘要

尿路感染(UTI)是北美最常见的院内感染,每年造成的医疗费用超过 120 亿美元。尿路感染会大大降低生活质量,严重时还会导致败血症和死亡。根据安大略省公共卫生部门的数据,80% 以上患有无症状菌尿的长期护理院(LTCH)住院患者都接受过抗生素治疗,但只有不到 50% 的尿毒症抗生素治疗显示出临床疗效。因此,有必要开发新的高效诊断方法,以提供及时的检测结果并防止多药耐药性。具有特殊物理和化学特性的新兴纳米材料在快速检测UTI相关细菌方面展现出了巨大的潜力。这篇综述论文对当前的 UTI 诊断工具进行了深入分析。本文综述了新兴的纳米结构生物传感器,以阐明尿路病原体检测方面的最新进展。相信融合了纳米技术的先进生物传感器将有助于及时诊断 UTIs 并提高结果的准确性,从而更好地治疗这种临床流行病。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Point-of-Care Urinary Tract Infection (UTI) Diagnosis Enhanced by Nanostructured Biosensors: Review Paper

Point-of-Care Urinary Tract Infection (UTI) Diagnosis Enhanced by Nanostructured Biosensors: Review Paper

Urinary tract infections (UTIs) are the most common nosocomial infection in North America leading to over $12 billion in annual health care costs. UTIs can significantly reduce the quality of life and, in severe cases, result in sepsis and mortality. According to Public Health Ontario, over 80% of long-term care home (LTCH) residents with asymptomatic bacteriuria are treated with antibiotics, however, less than 50% of the antibiotic treatments for UTIs show clinical benefit. Current confirmatory processes for UTIs are primarily dependent on the completion of urine cultures which can result in a delay of more than 24 h. Therefore, there is a need to develop new efficient diagnostic methods to provide timely test results and prevent multidrug resistance. Emerging nanomaterials with special physical and chemical properties have demonstrated great potential in rapid detection of UTI-associated bacteria. This review paper provides a thorough analysis of current diagnostic tools for UTIs. Emerging nanostructured biosensors are reviewed to elucidate the most recent progress in the detection of uropathogens. It is believed that advanced biosensors integrated with nanotechnology will contribute to the timely diagnosis of UTIs and improve the accuracy of the results, which will lead to better treatment of this prevalent clinical condition.

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