Modern technologies in diabetes management

Мұқаба

Дәйексөз келтіру

Толық мәтін

Ашық рұқсат Ашық рұқсат
Рұқсат жабық Рұқсат берілді
Рұқсат жабық Рұқсат ақылы немесе тек жазылушылар үшін

Аннотация

Objective. Evaluation of the modern means of glycemic monitoring using a mobile application that allows for more effective, including remote diabetes mellitus (DM) management.

Basic provisions. Diabetes control is impossible without self-monitoring by the patient, which remains relevant in modern conditions. Recommendations for the management of patients with diabetes are updated annually, more modern approaches to self-monitoring of glycemia are developed, and innovative glucometers represented by systems with a mobile application are introduced.

Толық мәтін

Рұқсат жабық

Авторлар туралы

O. Koteshkova

Endocrinological Dispensary of the Moscow Healthcare Department

Хат алмасуға жауапты Автор.
Email: koala58@mail.ru
ORCID iD: 0000-0001-8428-4116
SPIN-код: 6141-1224

Cand. Sci. (Med.), Head of the Department of Education and Treatment of Diabetes

Ресей, Moscow

M. Antsiferov

Endocrinological Dispensary of the Moscow Healthcare Department; Russian Medical Academy of Continuous Professional Education

Email: koala58@mail.ru
ORCID iD: 0000-0002-9944-2997
SPIN-код: 1035-4773
Ресей, Moscow; Moscow

D. Antsiferova

Endocrinological Dispensary of the Moscow Healthcare Department; Russian Medical Academy of Continuous Professional Education

Email: koala58@mail.ru
ORCID iD: 0000-0002-3920-5914
Ресей, Moscow; Moscow

N. Demidov

City Hospital of Moscow City of the Moscow Healthcare Department

Email: koala58@mail.ru
ORCID iD: 0000-0001-8289-0032
SPIN-код: 7715-4508
Ресей, Moscow

Әдебиет тізімі

  1. www. diabetesatlas.org. Facts & figures (idf.org). URL: https://www.idf.org/aboutdiabetes/what-is-diabetes/facts-figures.html
  2. URL: https://iris.who.int/bitstream/handle/10665/374877/9789240084810-eng.pdf?sequence=1
  3. The Diabetes Control and Complications Trial Research Group. The effect of intensive treatment of diabetes on the development and progression of long-term complications in insulin-dependent diabetes mellitus. N Engl J Med. 1993;329:977–86. doi: 10.1056/NEJM199309303291401.
  4. Intensive blood-glucose control with sulphonylureas or insulin compared with conventional treatment and risk of complications in patients with type 2 diabetes (UKPDS 33). UK Prospective Diabetes Study (UKPDS) Group. Lancet. 1998;352:837–53.
  5. Алгоритмы специализированной медицинской помощи больным сахарным диабетом. Под ред. И.И. Дедова, М.В. Шестаковой, А.Ю. Майорова.11-е изд. М., 2023. [Algorithms for specialized medical care for patients with diabetes. Ed. by I.I. Dedov, M.V. Shestakova, A.Yu. Mayorov. 11th ed. Moscow, 2023. (In Russ.)]. doi: 10.14341/DM13042.
  6. Danne T., Nimri R., Battelino T., et al. International Consensus on Use of Continuous Glucose Monitoring. Diabetes Care. 2017;40:1631–40. doi: 10.2337/dc17-1600.
  7. Gagliardino J.J., Chantelot J.M., Domenger C., et al. Impact of diabetes education and self-management on the quality of care for people with type 1 diabetes mellitus in the Middle East (the International Diabetes Mellitus Practices Study, IDMPS). Diabetes Res Clin Pract. 2019;9(147):29–36. doi: 10.1016/j.diabres.2018.09.008.
  8. Grady M., Katz L.B., Cameron H., Levy B.L. Diabetes app-related text messages from health care professionals in conjunction with a new wireless glucose meter with a color range indicator improves glycemic control in patients with type 1 and type 2 diabetes: randomized controlled trial. JMIR Diabetes. 2017;2(2):e19 doi: 10.2196/diabetes.7454.
  9. Danne T., Nimri R., Battelino T., et al. International Consensus on Use of Continuous Glucose Monitoring. Diabetes Care. 2017;40:1631–40. doi: 10.2337/dc17-1600.
  10. Beck R. W., Bergenstal R.M., Cheng P., et al. The relationships between time in range, hyperglycemia metrics, and HbA1c. J Diabetes Sci Technol. 2019;13(4):614–26. doi: 10.1177/1932296818822496.
  11. Lu J., Ma X, Zhou J., et al. Association of time in range, as assessed by continuous glucose monitoring, with diabetic retinopathy in type 2 diabetes. Diabetes Care. 2018;41(11):2370–76. doi: 10.2337/dc18-1131.
  12. Lu J., Home P.D., Zhou J. Comparison of multiple cut points for time in range in relation to risk of abnormal carotid intima-media thickness and diabetic retinopathy. Diabetes Care. 2020;43:e99–e101. doi: 10.2337/dc20-0561.
  13. Yoo J.H., Kim J.H. Time in range from continuous glucose monitoring: a novel metric for glycemic control. Diabetes Metab J. 2020;44(6):828–39. doi: 10.4093/dmj.2020.0257.
  14. Ranjan A.G., Rosenlund S.V., Hansen T.W., et al. Improved time in range over 1 year is associated with reduced albuminuria in individuals with sensor-augmented insulin pump-treated type 1 diabetes. Diabetes Care. 2020;43(11):2882–2885. doi: 10.2337/dc20-0909.
  15. Yang J., Yang X., Zhao D., et al. Association of time in range, as assessed by continuous glucose monitoring, with painful diabetic polyneuropathy. J Diabetes Investig. 2021;12(5):828–36. doi: 10.1111/jdi.13394.
  16. Lu J., Wang C., Shen Y., et al. Time in Range in Relation to All-Cause and Cardiovascular Mortality in Patients With Type 2 Diabetes: A Prospective Cohort Study. Diabetes Care. 2021;44(2):549–55. doi: 10.2337/dc20-1862.
  17. Steinhubl S.R, Muse E.D., Topol E.J. Can mobile health technologies transform health care? JAMA. 2013;310(22):2395–96. doi: 10.1001/jama.2013.281078.
  18. Garabedian L.F, Ross-Degnan D., Wharam J.F. Mobile phone and smartphone technologies for diabetes care and self-management. Curr Diab Rep. 2015;15(12):109. doi: 10.1007/s11892-015-0680-8.
  19. Vaala S.E., Hood K.K., Laffel L., et al. Use of commonly available technologies for diabetes information and self-management among adolescents with type 1 diabetes and their parents: a web-based survey study. Interact J Med Res. 2015;4(4):e24. doi: 10.2196/ijmr.4504.
  20. Liang X., Wang Q., Yang X., et al. Effect of mobile phone intervention for diabetes on glycaemic control: a meta-analysis. Diabet Med. 2011;28(4):455–63. doi: 10.1111/j.1464-5491.2010.03180.x.
  21. Arambepola C., Ricci-Cabello I., Manikavasagam P., et al. The impact of automated brief messages promoting lifestyle changes delivered via mobile devices to people with type 2 diabetes: a systematic literature review and meta-analysis of controlled trials. J Med Internet Res. 2016;18(4):e86. doi: 10.2196/jmir.5425.
  22. Hsu W.C., Lau K.H.K., Huang R., et al. Utilization of a cloud-based diabetes management program for insulin initiation and titration enables collaborative decision making between healthcare providers and patients. Diabetes Technol Ther. 2016;18(2):59-67. doi: 10.1089/dia.2015.0160.
  23. Grady M., Cameron H., Holt Е. Sustained improvements in readings in-range using an advanced bluetooth® connected blood glucose meter and a mobile diabetes app: real-world evidence from more than 55,000 people with diabetes. Diabetes Ther. 2023;14(6):1023–35. doi: 10.1007/s13300-023-01415-3.
  24. Poster presented at Diabetes Technology Meeting (DTM) 2018; North Bethesda, Maryland Poster presented at Diabetes Technology Meeting (DTM) 2018; North Bethesda, Maryland.

Қосымша файлдар

Қосымша файлдар
Әрекет
1. JATS XML
Жүктеу
2. Fig. 1. Overall and cardiovascular mortality in patients with DM2 (adapted from [16])

Жүктеу (190KB)
Метадеректер
3. Fig. 2. Visualization of food portions

Жүктеу (89KB)
Метадеректер
4. Fig. 3. Report form of the Contour Diabitis mobile application

Жүктеу (376KB)
Метадеректер
5. Fig. 4. Cloud technologies and remote glycemia monitoring

Жүктеу (230KB)
Метадеректер

© Bionika Media, 2024

Осы сайт cookie-файлдарды пайдаланады

Біздің сайтты пайдалануды жалғастыра отырып, сіз сайттың дұрыс жұмыс істеуін қамтамасыз ететін cookie файлдарын өңдеуге келісім бересіз.< / br>< / br>cookie файлдары туралы< / a>