Telemedicine management of type 2 diabetes mellitus in obese and overweight young and middle-aged patients during COVID-19 outbreak: A single-center, prospective, randomized control study

Wenwen Yin, Yawen Liu, Hao Hu, Jin Sun, Yuanyuan Liu, Zhaoling Wang, Wenwen Yin, Yawen Liu, Hao Hu, Jin Sun, Yuanyuan Liu, Zhaoling Wang

Abstract

Objective: The coronavirus disease-2019 (COVID-19) pandemic severely affected the disease management of patients with chronic illnesses such as type 2 diabetes mellitus (T2DM). This study aimed to assess the effect of telemedicine management of diabetes in obese and overweight young and middle-aged patients with T2DM during the COVID-19 pandemic.

Methods: A single-center randomized control study was conducted in 120 obese or overweight (body mass index [BMI] ≥ 24 kg/m2) young and middle-aged patients (aged 18-55 years) with T2DM. Patients were randomly assigned to the intervention (telemedicine) or control (conventional outpatient clinic appointment) group. After baseline assessment, they were home isolated for 21 days, received diet and exercise guidance, underwent glucose monitoring, and followed up for 6 months. Glucose monitoring and Self-Rating Depression Scale (SDS) scores were evaluated at 22 days and at the end of 3 and 6 months.

Results: Ninety-nine patients completed the 6-month follow-up (intervention group: n = 52; control group: n = 47). On day 22, the fasting blood glucose (FBG) level of the intervention group was lower than that of the control group (p < 0.05), and the control group's SDS increased significantly compared with the baseline value (p < 0.05). At the end of 3 months, glycated hemoglobin (HbA1c) and FBG levels in the intervention group decreased significantly compared with those in the control group (p < 0.01). At the end of 6 months, the intervention group showed a significant decrease in postprandial blood glucose, triglyceride, and low-density lipoprotein cholesterol levels as well as waist-to-hip ratio compared with the control group (p < 0.05); moreover, the intervention group showed lower SDS scores than the baseline value (p < 0.05). Further, the intervention group showed a significant reduction in BMI compared with the control group at the end of 3 and 6 months (p < 0.01).

Conclusion: Telemedicine is a beneficial strategy for achieving remotely supervised blood glucose regulation, weight loss, and depression relief in patients with T2DM.

Trial registration: ClinicalTrials.gov Identifier: NCT04723550.

Conflict of interest statement

The authors have declared that no competing interests exist.

Figures

Fig 1. Patient flow diagram.
Fig 1. Patient flow diagram.
Fig 2. Targets of the study.
Fig 2. Targets of the study.
(A-H): Changes in the HbA1c, FBG, PBG, TG, and LDL-C levels as well as SDS, WHR, and BMI over 6 months of the study in the control and intervention groups. HbA1c: glycated hemoglobin, FBG: fasting blood glucose, PBG: postprandial blood glucose, WHR: waist-to-hip ratio, TG: triglyceride, LDL-C: low-density lipoprotein cholesterol, SDS: Self-Rating Depression Scale, BMI: body mass index. “a” indicates p

References

    1. Yu X, Li N, Dong Y. Observation on China’s Strategies to Prevent the Resurgence of the COVID-19 Epidemic. Risk Manag Healthc Policy. 2021;14:2011–9. Epub 2021/05/28. doi: 10.2147/RMHP.S305413 ; PubMed Central PMCID: PMC8140918.
    1. Paulsamy P, Ashraf R, Alshahrani SH, Periannan K, Qureshi AA, Venkatesan K, et al.. Social Support, Self-Care Behaviour and Self-Efficacy in Patients with Type 2 Diabetes during the COVID-19 Pandemic: A Cross-Sectional Study. Healthcare (Basel). 2021;9(11). Epub 2021/11/28. doi: 10.3390/healthcare9111607 ; PubMed Central PMCID: PMC8622453.
    1. Khare J, Jindal S. Observational study on Effect of Lock Down due to COVID 19 on glycemic control in patients with Diabetes: Experience from Central India. Diabetes Metab Syndr. 2020;14(6):1571–4. Epub 2020/08/29. doi: 10.1016/j.dsx.2020.08.012 ; PubMed Central PMCID: PMC7438221.
    1. Verma A, Rajput R, Verma S, Balania VKB, Jangra B. Impact of lockdown in COVID 19 on glycemic control in patients with type 1 Diabetes Mellitus. Diabetes & Metabolic Syndrome: Clinical Research & Reviews. 2020;14(5):1213–6. doi: 10.1016/j.dsx.2020.07.016
    1. Guo W, Li M, Dong Y, Zhou H, Zhang Z, Tian C, et al.. Diabetes is a risk factor for the progression and prognosis of COVID-19. Diabetes Metab Res Rev. 2020;36(7):e3319. Epub 2020/04/02. doi: 10.1002/dmrr.3319 ; PubMed Central PMCID: PMC7228407.
    1. Cuschieri S, Grech S. COVID-19 and diabetes: The why, the what and the how. J Diabetes Complications. 2020;34(9):107637. Epub 2020/05/28. doi: 10.1016/j.jdiacomp.2020.107637 ; PubMed Central PMCID: PMC7242955.
    1. Lim S, Bae JH, Kwon HS, Nauck MA. COVID-19 and diabetes mellitus: from pathophysiology to clinical management. Nat Rev Endocrinol. 2021;17(1):11–30. Epub 2020/11/15. doi: 10.1038/s41574-020-00435-4 ; PubMed Central PMCID: PMC7664589
    1. Cobry EC, Wadwa RP. The future of telehealth in type 1 diabetes. Curr Opin Endocrinol Diabetes Obes. 2022;29(4):397–402. Epub 2022/07/02. doi: 10.1097/MED.0000000000000745 .
    1. Galiero R, Pafundi PC, Nevola R, Rinaldi L, Acierno C, Caturano A, et al.. The Importance of Telemedicine during COVID-19 Pandemic: A Focus on Diabetic Retinopathy. J Diabetes Res. 2020;2020:9036847. Epub 2020/10/31. doi: 10.1155/2020/9036847 ; PubMed Central PMCID: PMC7584941 research, authorship, and/or publication of this article.
    1. A MT, T JA, Rsheed AMB, Alrasheedy AA, W AL, F AL, et al.. The impact of telemedicine on patients with uncontrolled type 2 diabetes mellitus during the COVID-19 pandemic in Saudi Arabia: Findings and implications. J Telemed Telecare. 2021:1357633X20985763. Epub 2021/02/03. doi: 10.1177/1357633X20985763 .
    1. Delmastro M, Zamariola G. Depressive symptoms in response to COVID-19 and lockdown: a cross-sectional study on the Italian population. Sci Rep. 2020;10(1):22457–. doi: 10.1038/s41598-020-79850-6 .
    1. Dragun R, Veček NN, Marendić M, Pribisalić A, Đivić G, Cena H, et al.. Have Lifestyle Habits and Psychological Well-Being Changed among Adolescents and Medical Students Due to COVID-19 Lockdown in Croatia? Nutrients. 2020;13(1):97. doi: 10.3390/nu13010097 .
    1. Alberti KG, Zimmet PZ. Definition, diagnosis and classification of diabetes mellitus and its complications. Part 1: diagnosis and classification of diabetes mellitus provisional report of a WHO consultation. Diabet Med. 1998;15(7):539–53. Epub 1998/08/01. doi: 10.1002/(SICI)1096-9136(199807)15:7&lt;539::AID-DIA668&gt;;2-S .
    1. ZUNG WWK. A Self-Rating Depression Scale. Archives of General Psychiatry. 1965;12(1):63–70. doi: 10.1001/archpsyc.1965.01720310065008
    1. Corman VM, Eckerle I, Bleicker T, Zaki A, Landt O, Eschbach-Bludau M, et al.. Detection of a novel human coronavirus by real-time reverse-transcription polymerase chain reaction. Euro Surveill. 2012;17(39). Epub 2012/10/09. doi: 10.2807/ese.17.39.20285-en .
    1. Huang P, Wang H, Cao Z, Jin H, Chi H, Zhao J, et al.. A Rapid and Specific Assay for the Detection of MERS-CoV. Front Microbiol. 2018;9:1101. Epub 2018/06/14. doi: 10.3389/fmicb.2018.01101 ; PubMed Central PMCID: PMC5987675.
    1. Gupta R, Ghosh A, Singh AK, Misra A. Clinical considerations for patients with diabetes in times of COVID-19 epidemic. Diabetes & metabolic syndrome. 2020;14(3):211.
    1. D’Onofrio N, Scisciola L, Sardu C, Trotta MC, De Feo M, Maiello C, et al.. Glycated ACE2 receptor in diabetes: open door for SARS-COV-2 entry in cardiomyocyte. Cardiovasc Diabetol. 2021;20(1):99. Epub 2021/05/09. doi: 10.1186/s12933-021-01286-7 ; PubMed Central PMCID: PMC8104461.
    1. Frydrych LM, Bian G, O’Lone DE, Ward PA, Delano MJ. Obesity and type 2 diabetes mellitus drive immune dysfunction, infection development, and sepsis mortality. J Leukoc Biol. 2018;104(3):525–34. Epub 2018/08/02. doi: 10.1002/JLB.5VMR0118-021RR .
    1. Pal R, Bhadada SK. COVID-19 and diabetes mellitus: An unholy interaction of two pandemics. Diabetes Metab Syndr. 2020;14(4):513–7. Epub 2020/05/11. doi: 10.1016/j.dsx.2020.04.049 ; PubMed Central PMCID: PMC7202837.
    1. Zhou J, Tan J. Diabetes patients with COVID-19 need better blood glucose management in Wuhan, China. Metabolism. 2020;107:154216. Epub 2020/03/30. doi: 10.1016/j.metabol.2020.154216 ; PubMed Central PMCID: PMC7102634 conflict of interest.
    1. Sardu C, Gargiulo G, Esposito G, Paolisso G, Marfella R. Impact of diabetes mellitus on clinical outcomes in patients affected by Covid-19. Cardiovasc Diabetol. 2020;19(1):76. Epub 2020/06/13. doi: 10.1186/s12933-020-01047-y ; PubMed Central PMCID: PMC7289072.
    1. Sardu C, D’Onofrio N, Balestrieri ML, Barbieri M, Rizzo MR, Messina V, et al.. Hyperglycaemia on admission to hospital and COVID-19. Diabetologia. 2020;63(11):2486–7. Epub 2020/07/08. doi: 10.1007/s00125-020-05216-2 ; PubMed Central PMCID: PMC7335920.
    1. Mader JK. Personal Experiences With Coronavirus Disease 2019 and Diabetes: The Time for Telemedicine is Now. J Diabetes Sci Technol. 2020;14(4):752–3. Epub 2020/05/24. doi: 10.1177/1932296820930289 ; PubMed Central PMCID: PMC7673167.
    1. Bahl S, Singh RP, Javaid M, Khan IH, Vaishya R, Suman R. Telemedicine technologies for confronting COVID-19 pandemic: a review. Journal of Industrial Integration and Management. 2020;5(04):547–61.
    1. Bhupathiraju SN, Hu FB. Epidemiology of obesity and diabetes and their cardiovascular complications. Circulation research. 2016;118(11):1723–35. doi: 10.1161/CIRCRESAHA.115.306825
    1. Afshin A, Forouzanfar MH, Reitsma MB, Sur P, Estep K, Lee A, et al.. Health Effects of Overweight and Obesity in 195 Countries over 25 Years. N Engl J Med. 2017;377(1):13–27. Epub 2017/06/13. doi: 10.1056/NEJMoa1614362 ; PubMed Central PMCID: PMC5477817.
    1. Di Renzo L, Gualtieri P, Pivari F, Soldati L, Attinà A, Cinelli G, et al.. Eating habits and lifestyle changes during COVID-19 lockdown: an Italian survey. J Transl Med. 2020;18(1):229. Epub 2020/06/10. doi: 10.1186/s12967-020-02399-5 ; PubMed Central PMCID: PMC7278251.
    1. Alencar M, Johnson K, Gray V, Mullur R, Gutierrez E, Dionico P. Telehealth-Based Health Coaching Increases m-Health Device Adherence and Rate of Weight Loss in Obese Participants. Telemed J E Health. 2020;26(3):365–8. Epub 2019/04/18. doi: 10.1089/tmj.2019.0017 ; PubMed Central PMCID: PMC7071022.
    1. Hackett RA, Steptoe A. Type 2 diabetes mellitus and psychological stress—a modifiable risk factor. Nat Rev Endocrinol. 2017;13(9):547–60. Epub 2017/07/01. doi: 10.1038/nrendo.2017.64 .
    1. Ghosh A, Gupta R, Misra A. Telemedicine for diabetes care in India during COVID19 pandemic and national lockdown period: Guidelines for physicians. Diabetes Metab Syndr. 2020;14(4):273–6. Epub 2020/04/14. doi: 10.1016/j.dsx.2020.04.001 ; PubMed Central PMCID: PMC7129346.
    1. Joshi R, Atal S, Fatima Z, Balakrishnan S, Sharma S, Joshi A. Diabetes care during COVID-19 lockdown at a tertiary care centre in India. Diabetes Res Clin Pract. 2020;166:108316. Epub 2020/07/17. doi: 10.1016/j.diabres.2020.108316 ; PubMed Central PMCID: PMC7358163.
    1. Knol MJ, Twisk JWR, Beekman ATF, Heine RJ, Snoek FJ, Pouwer F. Depression as a risk factor for the onset of type 2 diabetes mellitus. A meta-analysis. Diabetologia. 2006;49(5):837. doi: 10.1007/s00125-006-0159-x
    1. Khaledi M, Haghighatdoost F, Feizi A, Aminorroaya A. The prevalence of comorbid depression in patients with type 2 diabetes: an updated systematic review and meta-analysis on huge number of observational studies. Acta Diabetologica. 2019;56(6):631–50. doi: 10.1007/s00592-019-01295-9
    1. Zhong J, Zhong C, Qiu L, Li J, Lai J, Lu W, et al.. Risk and protective factors for anxiety during COVID-19 pandemic. BMC Public Health. 2021;21(1):1063. Epub 2021/06/06. doi: 10.1186/s12889-021-11118-8 ; PubMed Central PMCID: PMC8177261.
    1. Xiang YT, Yang Y, Li W, Zhang L, Zhang Q, Cheung T, et al.. Timely mental health care for the 2019 novel coronavirus outbreak is urgently needed. Lancet Psychiatry. 2020;7(3):228–9. Epub 2020/02/08. doi: 10.1016/S2215-0366(20)30046-8 ; PubMed Central PMCID: PMC7128153.
    1. Sasso FC, Pafundi PC, Simeon V, De Nicola L, Chiodini P, Galiero R, et al.. Efficacy and durability of multifactorial intervention on mortality and MACEs: a randomized clinical trial in type-2 diabetic kidney disease. Cardiovasc Diabetol. 2021;20(1):145. Epub 2021/07/18. doi: 10.1186/s12933-021-01343-1 ; PubMed Central PMCID: PMC8285851.

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