发病率,患病率,死亡率,与糖尿病相关的医疗支出持续增长,尽管努力。使用多分析物传感器检测葡萄糖以及关键分析物如酮,乳酸,胰岛素,尿酸,和电解质,可能会提供更多信息,以指导糖尿病及其并发症的早期识别和管理。我们在2023年5月使用系统方法进行了叙述性审查,并在2024年4月进行了桥梁搜索。搜索了四个生物医学数据库:MEDLINE(Ovid),Embase,Emcare,科克伦图书馆在ClinicalTrials.gov中对灰色文献进行了搜索,谷歌学者,和相关组织的网站。纳入的研究纳入了糖尿病中多分析物传感器和单分析物传感器的文章,建议将其整合到多分析物糖尿病管理中。对出版日期和研究设计没有限制。使用CovidenceTM软件筛选和提取数据。总的来说,包括11篇文章,其中8篇涉及多分析物传感器(涉及葡萄糖和其他分析物),和四个单分析物传感器(测量非葡萄糖物质,以便将来集成到多分析物系统中)。检测的分析物是酮(n=3);乳酸(n=4);尿酸(n=3),胰岛素(n=1)和钾(n=1)。结果表明,多分析物和单分析物传感器的体外和体内测量与人毛细血管和血清样品准确可靠。虽然关于这个主题的文献很少,我们的评论表明,葡萄糖和其他分析物的测量可以使用多和单分析物传感器进行。需要在人类中进行更多的研究以建立糖尿病自我管理的临床效用并协助技术改进。
The incidence, prevalence, mortality, and health expenditure associated with diabetes continue to grow, despite efforts. The use of multianalyte sensors, which detect glucose as well as key analytes such as ketones, lactate, insulin, uric acid, and electrolytes, may provide additional information to guide earlier identification and management of diabetes and its complications. We undertook a narrative review using a systematic approach in May 2023, with a bridge search undertaken in April 2024. Four biomedical databases were searched: MEDLINE (Ovid), Embase, Emcare, and Cochrane Library. Searches for gray literature were conducted on ClinicalTrials.gov, Google Scholar, and websites of relevant organizations. Included studies incorporated articles on multianalyte sensors in diabetes and single-analyte sensors proposing integration into multianalyte diabetes management, with no limits placed on publication date and study design. Data were screened and extracted using CovidenceTM software. Overall, 11 articles were included, of which 7 involved multianalyte sensors (involving glucose and other analytes) and 4 single-analyte sensors (measuring non-glucose substances for proposed future integration into multianalyte systems). Analytes examined were ketones (n = 3), lactate (n = 4), uric acid (n = 3), insulin (n = 1), and potassium (n = 1). Results demonstrated that in vitro and in vivo measurements of multi- and single-analyte sensors accurately and reliably corresponded with human capillary and serum samples. While the literature on this topic is sparse, our review demonstrated that measurement of glucose and other analytes can be feasibly undertaken using multi- and single-analyte sensors. More studies in humans are needed to establish clinical utility in diabetes self-management and assist with technological improvements.