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在2型糖尿病患者中使用FreeStyle Libre系统在COVID-19大流行期间监测血糖的有效性:系统评价。

Effectiveness of Using the FreeStyle Libre System for Monitoring Blood Glucose during the COVID-19 Pandemic in Diabetic Individuals: Systematic Review.

作者信息

Jaques-Albuquerque Luelia Teles, Dos Anjos-Martins Elzi, Torres-Nunes Luiza, Valério-Penha Ana Gabriellie, Coelho-Oliveira Ana Carolina, da Silva Sarandy Viviani Lopes, Reis-Silva Aline, Seixas Adérito, Bernardo-Filho Mario, Taiar Redha, de Sá-Caputo Danúbia Cunha

机构信息

Laboratório de Vibrações Mecânicas e Práticas Integrativas, Departamento de Biofísica e Biometria, Instituto de Biologia Roberto Alcântara Gomes, Policlínica Universitária Piquet Carneiro, Universidade do Estado do Rio de Janeiro, Rio de Janeiro 20950-003, Brazil.

Mestrado Profissional em Saúde, Medicina Laboratorial e Tecnologia Forense, Universidade do Estado do Rio de Janeiro, Rio de Janeiro 20950-003, Brazil.

出版信息

Diagnostics (Basel). 2023 Apr 21;13(8):1499. doi: 10.3390/diagnostics13081499.

Abstract

BACKGROUND

Artificial Intelligence (AI) is an area of computer science/engineering that is aiming to spread technological systems. The COVID-19 pandemic caused economic and public health turbulence around the world. Among the many possibilities for using AI in the medical field is FreeStyle Libre (FSL), which uses a disposable sensor inserted into the user's arm, and a touchscreen device/reader is used to scan and retrieve other continuous monitoring of glucose (CMG) readings. The aim of this systematic review is to summarize the effectiveness of FSL blood glucose monitoring during the COVID-19 pandemic.

METHODS

This systematic review was carried out in accordance with the Preferred Reporting Items for Systematic Review and Meta-Analyses (PRISMA) and was registered in the international prospective register of systematic reviews (PROSPERO: CRD42022340562). The inclusion criteria considered studies involving the use of the FSL device during the COVID-19 pandemic and published in English. No publication date restrictions were set. The exclusion criteria were abstracts, systematic reviews, studies with patients with other diseases, monitoring with other equipment, patients with COVID-19, and bariatrics patients. Seven databases were searched (PubMed, Scopus, Embase, Web of Science, Scielo, PEDro and Cochrane Library). The ACROBAT-NRSI tool (A Cochrane Risk of Bias Assessment Tool for Non-Randomized Studies) was used to evaluate the risk of bias in the selected articles.

RESULTS

A total of 113 articles were found. Sixty-four were excluded because they were duplicates, 39 were excluded after reading the titles and abstracts, and twenty articles were considered for full reading. Of the 10 articles analyzed, four articles were excluded because they did not meet the inclusion criteria. Thus, six articles were included in the current systematic review. It was observed that among the selected articles, only two were classified as having serious risk of bias. It was shown that FSL had a positive impact on glycemic control and on reducing the number of individuals with hypoglycemia.

CONCLUSION

The findings suggest that the implementation of FSL during COVID-19 confinement in this population can be confidently stated to have been effective in diabetes mellitus patients.

摘要

背景

人工智能(AI)是计算机科学/工程领域中旨在推广技术系统的一个领域。新冠疫情在全球范围内引发了经济和公共卫生动荡。在医疗领域使用人工智能的众多可能性中,有一款名为“免校准动态血糖仪”(FreeStyle Libre,FSL)的产品,它使用一个一次性传感器插入用户手臂,并通过一个触摸屏设备/读取器来扫描和获取其他连续血糖监测(CMG)读数。本系统评价的目的是总结新冠疫情期间FSL血糖监测的有效性。

方法

本系统评价按照系统评价和Meta分析的首选报告项目(PRISMA)进行,并在国际前瞻性系统评价注册库(PROSPERO:CRD42022340562)中进行了注册。纳入标准为考虑在新冠疫情期间使用FSL设备且以英文发表的研究。未设置发表日期限制。排除标准为摘要、系统评价、针对患有其他疾病患者的研究、使用其他设备进行的监测、新冠患者以及肥胖症患者。检索了七个数据库(PubMed、Scopus、Embase、科学引文索引、Scielo、PEDro和考克兰图书馆)。使用ACROBAT-NRSI工具(一种针对非随机研究的考克兰偏倚风险评估工具)来评估所选文章中的偏倚风险。

结果

共找到113篇文章。64篇因重复而被排除,39篇在阅读标题和摘要后被排除,20篇文章被考虑进行全文阅读。在分析的10篇文章中,4篇因不符合纳入标准而被排除。因此,6篇文章被纳入当前的系统评价。观察发现,在所选文章中,只有2篇被归类为存在严重偏倚风险。结果表明,FSL对血糖控制以及减少低血糖个体数量有积极影响。

结论

研究结果表明,在该人群的新冠疫情隔离期间实施FSL对糖尿病患者而言可以肯定是有效的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/796c/10137815/0505aacee1e8/diagnostics-13-01499-g001.jpg

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