Progress in the Application of Wearable Devices in Patients With Type 2 Diabetes Mellitus

Yuan GAO; Min ZHOU; Xuan XU; Yahong FU; Peishan TIAN; Manfen QIN

doi:10.3881/j.issn.1000-503X.15869

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Acta Academiae Medicinae Sinicae ›› 2024, Vol. 46 ›› Issue (5) : 769-775. DOI: 10.3881/j.issn.1000-503X.15869

Review Articles

Progress in the Application of Wearable Devices in Patients With Type 2 Diabetes Mellitus

Yuan GAO ¹^,² ,
Min ZHOU ¹ ,
Xuan XU ¹ ,
Yahong FU ¹ ,
Peishan TIAN ¹ ,
Manfen QIN ¹^,²

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Abstract

type 2 diabetes mellitus,a common metabolic disease,has become a global public health challenge due to its high morbidity and disability.with the rise of mobile healthcare,the advancement of emerging technologies such as artificial intelligence,and the popularization of the concept of personalized health,the field of smart wearable devices is growing rapidly.wearable devices are categorized into two types:medical and fitness wearable devices,which have been applied in the monitoring and regulation of blood glucose and the modulation of healthy lifestyles of patients with type 2 diabetes mellitus.This article summarizes the research progress in the application of wearable devices in patients with type 2 diabetes mellitus in the past 8 years,with a view to promoting the application of wearable devices and realizing the whole life-cycle health management of patients with type 2 diabetes mellitus。

Key words

type 2 diabetes mellitus / wearable devices / application progress

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Yuan GAO , Min ZHOU , Xuan XU , et al . Progress in the Application of Wearable Devices in Patients With Type 2 Diabetes Mellitus[J]. Acta Academiae Medicinae Sinicae. 2024, 46(5): 769-775 https://doi.org/10.3881/j.issn.1000-503X.15869

References

List( Publishing order | Descend order by publishing year | Descend order by cited within ) Chart analysis

[1]	Sun H, Saeedi P, Karuranga S, et al. IDF Diabetes Atlas:global,regional and country-level diabetes prevalence estimates for 2021 and projections for 2045[J]. Diabetes Res Clin Pract, 2022, 183:109119.DOI:10.1016/j.diabres.2021.109119. Cited in this article [1]

[2]

Lyu

, Huang

, Li

, et al. Effects of a nurse led web-based transitional care program on the glycemic control and quality of life post hospital discharge in patients with type 2 diabetes:a randomized controlled trial[J]. Int J Nurs Stud, 2021, 119:103929.DOI:10.1016/j.ijnurstu.2021.103929.

Cited in this article [1]

[3]	Cannon A, Handelsman Y, Heile M, et al. Burden of illness in type 2 diabetes mellitus[J]. J Manag Care Spec Pharm, 2018, 24(9-a Suppl):S5-S13.DOI:10.18553/jmcp.2018.24.9-a.s5. Cited in this article [1]

[4]	中华医学会糖尿病学分会. 中国2型糖尿病防治指南(2020年版)(上)[J]. 中国实用内科杂志, 2021, 41(8):668-695.DOI:10.19538/j.nk2021080106. Cited in this article [1]

[5]	王迪. 国务院办公厅印发《“十四五”国民健康规划》[J]. 中医药管理杂志, 2022, 30(10):91.DOI:10.16690/j.cnki.1007-9203.2022.10.047. Cited in this article [1]

[6]	樊瑜波. 可穿戴医疗/健康技术—生物医学工程的机遇和挑战[J]. 生物医学工程学杂志, 2016, 33(1):1.DOI:10.7507/1001-5515.20160001. Cited in this article [1]

[7]	王瑞, 吕蓉, 梁涛. 可穿戴设备在疾病管理中的应用进展[J]. 中华护理杂志, 2018, 53(1):114-116.DOI:10.3761/j.issn.0254-1769.2018.01.021. Cited in this article [1]

[8]	蔡淳, 贾伟平. 人工智能在糖尿病全程健康管理的应用与挑战[J]. 中国科学基金, 2021, 35(1):104-109.DOI:10.16262/j.cnki.1000-8217.2021.01.021. Cited in this article [1]

[9]	Clark LC Jr, Lyons C. Electrode systems for continuous monitoring in cardiovascular surgery[J]. Ann N Y Acad Sci, 1962, 102:29-45.DOI:10.1111/j.1749-6632.1962.tb13623.x. Cited in this article [1]

[10]	Hermanns N, Ehrmann D, Shapira A, et al. Coordination of glucose monitoring,self-care behaviour and mental health:achieving precision monitoring in diabetes[J]. Diabetologia, 2022, 65(11):1883-1894.DOI:10.1007/s00125-022-05685-7. Cited in this article [1]

[11]

Ribeiro

, Andrade

, Nascimento do Ó

, et al. Impact of blinded retrospective continuous glucose monitoring on clinical decision making and glycemic control in persons with type 2 diabetes on insulin therapy[J]. Nutr Metab Cardiovasc Dis, 2021, 31(4):1267-1275.DOI:10.1016/j.numecd.2020.12.024.

Cited in this article [1]

[12]

Baretić

, Bralić Lang

. Hypoglycemia in patients with type 2 diabetes treated with oral antihyperglycemic agents detected by continuous glucose monitoring:a multi-center prospective observational study in Croatia[J]. BMC Endocr Disord, 2020, 20(1):35.DOI:10.1186/s12902-020-0518-5.

Cited in this article [1]

[13]	Ida S, Kaneko R, Murata K. Utility of real-time and retrospective continuous glucose monitoring in patients with type 2 diabetes mellitus:a meta-analysis of randomized controlled trials[J]. J Diabetes Res, 2019, 2019:4684815.DOI:10.1155/2019/4684815. Cited in this article [1]

[14]	Grace T, Salyer J. Use of real-time continuous glucose monitoring improves glycemic control and other clinical outcomes in type 2 diabetes patients treated with less intensive therapy[J]. Diabetes Technol Ther, 2022, 24(1):26-31.DOI:10.1089/dia.2021.0212. Cited in this article [1]

[15]

Moon

, Kim

, Lee

, et al. Efficacy of intermittent short-term use of a real-time continuous glucose monitoring system in non-insulin-treated patients with type 2 diabetes:a randomized controlled trial[J]. Diabetes Obes Metab, 2023, 25(1):110-120.DOI:10.1111/dom.14852.

Cited in this article [1]

[16]	杨丽芳, 肖菲, 黄蓉, 等. 妊娠糖尿病患者初次使用实时动态血糖监测的质性研究[J]. 现代临床护理, 2017, 16(7):39-42.DOI:10.3969/j.issn.1671-8283.2017.07.010. Cited in this article [1]

[17]	中华医学会糖尿病学分会. 中国血糖监测临床应用指南(2021年版)[J]. 中华糖尿病杂志, 2021, 13(10):936-948.DOI:10.3760/cma.j.cn115791-20210810-00436. Cited in this article [1]

[18]

Haak

, Hanaire

, Ajjan

, et al. Flash glucose-sensing technology as a replacement for blood glucose monitoring for the management of insulin-treated type 2 diabetes:a multicenter,open-label randomized controlled trial[J]. Diabetes Ther, 2017, 8(1):55-73.DOI:10.1007/s13300-017-0255-6.

Cited in this article [1]

[19]

Wilmot

, Evans

, Barnard-Kelly

, et al. Flash glucose monitoring with the FreeStyle Libre 2 compared with self-monitoring of blood glucose in suboptimally controlled type 1 diabetes:the FLASH-UK randomised controlled trial protocol[J]. BMJ Open, 2021, 11(7):e050713.DOI:10.1136/bmjopen-2021-050713.

Cited in this article [2]

[20]	Alva S, Bailey T, Brazg R, et al. Accuracy of a 14-day factory-calibrated continuous glucose monitoring system with advanced algorithm in pediatric and adult population with diabetes[J]. J Diabetes Sci Technol, 2022, 16(1):70-77.DOI:10.1177/1932296820958754. Cited in this article [1]

[21]	Luo X, Guo L, Liu Y, et al. Wearable tape-based smart biosensing systems for lactate and glucose[J]. IEEE Sens J, 2020, 20(7):3757-3765.DOI:10.1109/JSEN.2019.2959029. Cited in this article [1]

[22]	Toi PT, Trung TQ, Dang TML, et al. Highly electrocatalytic,durable,and stretchable nanohybrid fiber for on-body sweat glucose detection[J]. ACS Appl Mater Interfaces, 2019, 11(11):10707-10717.DOI:10.1021/acsami.8b20583. Cited in this article [1]

[23]	Dautta M, Alshetaiwi M, Escobar J, et al. Passive and wireless,implantable glucose sensing with phenylboronic acid hydrogel-interlayer RF resonators[J]. Biosens Bioelectron, 2020, 151:112004.DOI:10.1016/j.bios.2020.112004. Cited in this article [1]

[24]	Pieragostino D, D’alessandro M, Di Ioia M, et al. Unraveling the molecular repertoire of tears as a source of biomarkers:beyond ocular diseases[J]. Proteomics Clin Appl, 2015, 9(1-2):169-186.DOI:10.1002/prca.201400084. Cited in this article [1]

[25]	Elsherif M, Hassan MU, Yetisen AK, et al. Wearable contact lens biosensors for continuous glucose monitoring using smartphones[J]. ACS Nano, 2018, 12(6):5452-5462.DOI:10.1021/acsnano.8b00829. Cited in this article [1]

[26]	Sempionatto JR, Brazaca LC, García-Carmona L, et al. Eyeglasses-based tear biosensing system:non-invasive detection of alcohol,vitamins and glucose[J]. Biosens Bioelectron, 2019, 137:161-170.DOI:10.1016/j.bios.2019.04.058. Cited in this article [1]

[27]

Bollella

, Gorton

, Ludwig

, et al. A third generation glucose biosensor based on cellobiose dehydrogenase immobilized on a glassy carbon electrode decorated with electrodeposited gold nanoparticles:characterization and application in human saliva[J]. Sensors (Basel), 2017, 17(8):1912.DOI:10.3390/s17081912.

Cited in this article [1]

[28]	Arakawa T, Tomoto K, Nitta H, et al. A wearable cellulose acetate-coated mouthguard biosensor for in vivo salivary glucose measurement[J]. Anal Chem, 2020, 92(18):12201-12207.DOI:10.1021/acs.analchem.0c01201. Cited in this article [1]

[29]	Hanna J, Tawk Y, Azar S, et al. Wearable flexible body matched electromagnetic sensors for personalized non-invasive glucose monitoring[J]. Sci Rep, 2022, 12(1):14885.DOI:10.1038/s41598-022-19251-z. Cited in this article [1]

[30]	中华医学会内分泌学分会, 中华医学会糖尿病学分会, 中国医师协会内分泌代谢科医师分会. 中国胰岛素泵治疗指南(2021年版)[J]. 中华内分泌代谢杂志, 2021, 37(8):679-701.DOI:10.3760/cma.j.cn311282-20210428-00265. Cited in this article [3]

[31]	Karol AB, O’malley G, Fallurin R, et al. Automated insulin delivery systems as a treatment for type 2 diabetes mellitus:a review[J]. Endocr Pract, 2023, 29(3):214-220.DOI:10.1016/j.eprac.2022.10.001. Cited in this article [1]

[32]

, Liu

, Chen

, et al. Multicentre randomized controlled trial with sensor-augmented pump vs multiple daily injections in hospitalized patients with type 2 diabetes in China:time to reach target glucose[J]. Diabetes Metab, 2017, 43(4):359-363.DOI:10.1016/j.diabet.2016.12.009.

Cited in this article [1]

[33]	王妍, 张力, 于艳燕, 等. 实时动态血糖监测联合胰岛素泵治疗2型糖尿病价值研究[J]. 重庆医学, 2015, 44(19):2734-2736.DOI:10.3969/j.issn.1671-8348.2015.19.060. Cited in this article [1]

[34]	仇铁英, 黄金, 刘邵祥. 胰岛素“3C”整合管理系统的临床应用[J]. 中国老年学杂志, 2015, 35(9):2572-2575.DOI:10.3969/j.issn.1005-9202.2015.09.12. Cited in this article [1]

[35]	Ly TT, Nicholas JA, Retterath A, et al. Analysis of glucose responses to automated insulin suspension with sensor-augmented pump therapy[J]. Diabetes Care, 2012, 35(7):1462-1465.DOI:10.2337/dc12-0052. Cited in this article [1]

[36]

Sherr

, Heinemann

, Fleming

, et al. Automated insulin delivery:benefits,challenges,and recommendations.a consensus report of the joint diabetes technology working group of the European Association for the Study of Diabetes and the American Diabetes Association[J]. Diabetes Care, 2022, 45(12):3058-3074.DOI:10.2337/dci22-0018.

Cited in this article [1]

[37]	Boughton CK, Daly A, Thabit H, et al. Day-to-day variability of insulin requirements in the inpatient setting:observations during fully closed-loop insulin delivery[J]. Diabetes Obes Metab, 2021, 23(8):1978-1982.DOI:10.1111/dom.14396. Cited in this article [1]

[38]	Lakshman R, Daly A, Nwokolo M, et al. Variability of insulin requirements in adults with type 2 diabetes during fully closed-loop insulin delivery[J]. Diabetes Technol Ther, 2023, 25(6):442-444.DOI:10.1089/dia.2023.0073. Cited in this article [1]

[39]	Daly AB, Boughton CK, Nwokolo M, et al. Fully automated closed-loop insulin delivery in adults with type 2 diabetes:an open-label,single-center,randomized crossover trial[J]. Nat Med, 2023, 29(1):203-208.DOI:10.1038/s41591-022-02144-z. Cited in this article [1]

[40]	Bally L, Thabit H, Hartnell S, et al. Closed-Loop insulin delivery for glycemic control in noncritical care[J]. N Engl J Med, 2018, 379(6):547-556.DOI:10.1056/NEJMoa1805233. Cited in this article [1]

[41]	Banholzer N, Herzig D, Piazza C, et al. Effect of nutrition on postprandial glucose control in hospitalized patients with type 2 diabetes receiving fully automated closed-loop insulin therapy[J]. Diabetes Obes Metab, 2021, 23(1):234-239.DOI:10.1111/dom.14187. Cited in this article [1]

[42]	Takei K, Honda W, Harada S, et al. Toward flexible and wearable human-interactive health-monitoring devices[J]. Adv Healthc Mater, 2015, 4(4):487-500.DOI:10.1002/adhm.201400546. Cited in this article [1]

[43]	谭颖, 曹敏, 陈美铃, 等. 智能运动手环在社区2型糖尿病患者中的长期应用效果研究[J]. 中国全科医学, 2023, 26(10):1264-1270.DOI:10.12114/j.issn.1007-9572.2022.0657. Cited in this article [1]

[44]	国家图书馆研究院. 中国互联网络信息中心发布第50次《中国互联网络发展状况统计报告》[J]. 国家图书馆学刊, 2022, 31(5):12. Cited in this article [1]

[45]	Sun C, Sun L, Xi S, et al. Mobile phone-based telemedicine practice in older chinese patients with type 2 diabetes mellitus:randomized controlled trial[J]. JMIR Mhealth Uhealth, 2019, 7(1):e10664.DOI:10.2196/10664. Cited in this article [1]

[46]	Koot D, Goh PSC, Lim RSM, et al. A mobile lifestyle management program (GlycoLeap) for people with type 2 diabetes:single-arm feasibility study[J]. JMIR Mhealth Uhealth, 2019, 7(5):e12965.DOI:10.2196/12965. Cited in this article [1]

[47]	Li J, Wei D, Liu S, et al. Efficiency of an mHealth app and chest-wearable remote exercise monitoring intervention in patients with type 2 diabetes:a prospective,multicenter randomized controlled trial[J]. JMIR Mhealth Uhealth, 2021, 9(2):e23338.DOI:10.2196/23338. Cited in this article [1]

[48]	Agarwal P, Mukerji G, Desveaux L, et al. Mobile app for improved self-management of type 2 diabetes:multicenter pragmatic randomized controlled trial[J]. JMIR Mhealth Uhealth, 2019, 7(1):e10321.DOI:10.2196/10321. Cited in this article [1]

[49]	王凌霄, 董荣娜, 周冰, 等. 人机交互智能管理对初发2型糖尿病患者血糖控制的影响研究[J]. 中国全科医学, 2023, 26(15):1817-1823,1830.DOI:10.12114/j.issn.1007-9572.2022.0784. Cited in this article [1]

[50]	余文清, 邓勇. 移动医疗信息安全保护与法律监管机制建构探讨[J]. 中国医院, 2016, 20(9):53-56.DOI:10.3969/j.issn.1671-0592.2016.09.018. Cited in this article [1]