» Articles » PMID: 34254474

Daytime Glycemic Variability and Frailty in Older Patients with Diabetes: a Pilot Study Using Continuous Glucose Monitoring

Overview
Specialty General Medicine
Date 2021 Jul 13
PMID 34254474
Citations 6
Authors
Affiliations
Soon will be listed here.
Abstract

We investigated the relationship between glucose variability and frailty. Forty-eight type 2 diabetic patients aged ≥ 65 years were enrolled. The FRAIL scale was used for frailty assessment, and participants were classified into 'healthy & pre-frail' (n = 24) and 'frail' (n = 24) groups. A continuous glucose monitoring (CGM) system was used for a mean of 6.9 days and standardized CGM metrics were analyzed: mean glucose, glucose management indicator (GMI), coefficient of variation, and time in range, time above range (TAR), and time below range. The demographics did not differ between groups. However, among the CGM metrics, mean glucose, GMI, and TAR in the postprandial periods were higher in the frail group (all < 0.05). After multivariate adjustments, the post-lunch TAR (OR = 1.12, = 0.019) affected the prevalence of frailty. Higher glucose variability with marked daytime postprandial hyperglycemia is significantly associated with frailty in older patients with diabetes.

Citing Articles

The association between oral frailty and HbA1c among older adults with T2DM: the chain mediating effect of nutritional status and physical frailty.

Yu J, Ye A, Fei Y, Wang D, Zhang Y, Li X Eur Geriatr Med. 2024; 15(6):1891-1898.

PMID: 39405027 DOI: 10.1007/s41999-024-01081-z.


The "vegetables first" dietary habit correlates with higher-level functional capacity in older adults with diabetes.

Ida S, Imataka K, Morii S, Murata K BMC Nutr. 2024; 10(1):126.

PMID: 39334508 PMC: 11438160. DOI: 10.1186/s40795-024-00928-9.


[Continuous glucose monitoring devices in people over 65 years: literature review].

Guisado-Barral B, Chacon-Vargas K, Andres-Rodriguez N, Fornos-Perez J, Mera-Gallego R, Busto-Dominguez I Farm Comunitarios. 2024; 16(3):29-42.

PMID: 39188784 PMC: 11346262. DOI: 10.33620/FC.2173-9218.(2024).18.


Ageing well with diabetes: the role of technology.

Maltese G, McAuley S, Trawley S, Sinclair A Diabetologia. 2024; 67(10):2085-2102.

PMID: 39138689 PMC: 11446974. DOI: 10.1007/s00125-024-06240-2.


The Impact of Glucose-Lowering Strategy on the Risk of Increasing Frailty Severity among 49,519 Patients with Diabetes Mellitus: A Longitudinal Cohort Study.

Chi C, Wang J, Lee S, Chao C, Hung K, Chien K Aging Dis. 2023; 14(5):1917-1926.

PMID: 37196125 PMC: 10529743. DOI: 10.14336/AD.2023.0225.


References
1.
Clegg A, Young J, Iliffe S, Rikkert M, Rockwood K . Frailty in elderly people. Lancet. 2013; 381(9868):752-62. PMC: 4098658. DOI: 10.1016/S0140-6736(12)62167-9. View

2.
Blaum C, Xue Q, Tian J, Semba R, Fried L, Walston J . Is hyperglycemia associated with frailty status in older women?. J Am Geriatr Soc. 2009; 57(5):840-7. PMC: 4120964. DOI: 10.1111/j.1532-5415.2009.02196.x. View

3.
Vigersky R, McMahon C . The Relationship of Hemoglobin A1C to Time-in-Range in Patients with Diabetes. Diabetes Technol Ther. 2018; 21(2):81-85. DOI: 10.1089/dia.2018.0310. View

4.
Li F, Zhang Y, Li H, Lu J, Jiang L, Vigersky R . TIR generated by continuous glucose monitoring is associated with peripheral nerve function in type 2 diabetes. Diabetes Res Clin Pract. 2020; 166:108289. DOI: 10.1016/j.diabres.2020.108289. View

5.
Weiss C, Cappola A, Varadhan R, Fried L . Resting metabolic rate in old-old women with and without frailty: variability and estimation of energy requirements. J Am Geriatr Soc. 2012; 60(9):1695-700. PMC: 3458581. DOI: 10.1111/j.1532-5415.2012.04101.x. View