Elderly Diabetic Patients Research Articles

Influenza Vaccination Coverage and Influencing Factors in Type 2 Diabetes in Mainland China: A Systematic Review and Meta-Analysis

Background: Influenza has many harmful effects on people with type 2 diabetes mellitus (T2DM), such as hyperglycemia and increasing incidence of cardiovascular and cerebrovascular diseases. Epidemiological evidence shows that influenza vaccinations can effectively prevent deterioration in T2DM patients. At present, there is a lack of nationwide studies on the vaccination status of influenza vaccines for patients with certain chronic diseases. This study aimed to evaluate the influenza vaccination status of T2DM patients in mainland China and the factors affecting their influenza vaccination. Methods: Data were sourced from PubMed, Embase, Web of Science, the China Biology Medicine Disc (CBMdisc), the China National Knowledge Infrastructure (CNKI), and the Wanfang Database. The keywords used in the literature search included “diabetes”, “diabetes mellitus”, “DM”, “diabetic”, “T2DM”, “influenza vaccine”, “flu vaccine”, “China”, and “Chinese”. A total of 249 articles were retrieved through the searches; 7 articles met the inclusion criteria. The fixed-effects model was used when heterogeneity was low and a random-effects model was used when the heterogeneity was high. Results: The influenza vaccination coverage rate was 1.46% in diabetic patients and 9.99% in elderly diabetic patients. The influenza vaccination rate of type 2 diabetes patients with a high education level is higher than that of patients with a low education level. (OR: 1.462 [1.123, 1.903]). Meanwhile, gender (OR: 1.076, 95%CI: 0.893–1.295), marriage (OR: 1.283; 95%CI: 0.931–1.766), and occupation (OR: 1.049; 95% CI: 4.422–2.606) have no significant impact on influenza vaccination in patients with type 2 diabetes. Conclusions: This study found that the coverage of influenza vaccination in patients with T2DM in Chinese mainland was low, and there were few relevant research articles. In China’s mainland areas, education background is an important factor affecting the influenza vaccination of T2DM patients. China should continue to improve the influenza vaccination rate of patients with type 2 diabetes.

Molecular Insights and Pharmacotherapy of Diabetic Neuropathy

Background: Diabetes mellitus is a chronic disorder of energy metabolism caused by lack or decrease in the effectiveness of insulin, and is characterised by an abnormally elevated blood glucose concentrations and the development of macrovascular, microvascular and/or neuropathic complications. Diabetic neuropathy (DN) is one of the most debilitating outcomes of diabetes mellitus, and may cause pain, decreased mobility as well as amputation. Diabetes can damage the peripheral nervous system (PNS), through the induction of de-myelination in neurones, precipitated by chronic hyperglycaemia-induced oxidative stress, and causing a condition that involves the upper and lower limbs. Objective: The study discussed the risk factors for insulin resistance and pre-diabetes, type II diabetes mellitus and vascular complications, cellular and molecular basis of DN, physiopathological mechanisms, and the pharmacological treatment of DN. Method: The study examined journal articles and standard textbooks, as it relates to diabetes mellitus and its complications. Search for articles on DN was carried out in the literature. These were identified and reviewed for selection using chemical abstracts service, pubmed, google scholar, crossreference, web of science, pubmed central free article, and scopus. The key words used for search were: diabetic neuropathy; diabetic peripheral neuropathy; peripheral neuropathy; microvascular complications of diabetes mellitus; and neuromuscular complications of diabetes mellitus. Result & Discussion: Two hundred and fifty (250) articles and other works were identified, while ninety-seven (97) articles and non-journal materials were extracted and reviewed, taking into account the criteria for selection. Studies done in the last 4.5 decades were included, while works written on other languages, outside English were excluded. Findings indicate that DN is a complex disorder that affects the peripheral and/or cranial nerves, which is caused by unattended or poorly attended, long-term increase in blood glucose concentrations. It relatively manifests early, affecting a significant proportion of the micro-blood vessels in the middle-aged and elderly diabetic patients. DN causes numbness, loss of sensation, and sometimes pain in the feet, legs, arms or hands. Hyperglycaemia causes the activation and inhibition of several molecular pathways that are crucial for homeostasis in neuronal and neuroglial cells. Conclusion: DN is the commonest complication of diabetes mellitus. It has no known definitive therapy. Treatment is essentially symptomatic with huge economic and psychological burden, hence the rationale for a cost effective and targeted therapies. Achieving euglycaemia using anti-diabetic regimens (i.e., insulin and oral hypoglycaemic agents), foot care, changes in feeding habits and lifestyle modification are critical to holistically address the problem.

Research Status of Self-care Ability, Quality of Life, and Community Home Healthcare Needs of the Elderly with Type 2 Diabetes Mellitus

This paper reviews the self-care ability, quality of life, and needs of elderly patients with type 2 diabetes in community-based home care. The study shows that the elderly's self-care ability is closely related to their quality of life, and good self-care ability can significantly reduce the incidence of complications and improve quality of life. Although community-based home care services are crucial for meeting the medical needs of the elderly, there are problems such as insufficient supply, poor information communication, and lack of economic support. By analyzing domestic and foreign studies, this paper proposes suggestions for optimizing community-based home medical services to better support the improvement of elderly diabetes patients' self-care ability and quality of life.

Switching from Premixed Insulin to Insulin Degludec/Insulin Aspart for the Management of Type 2 Diabetes Mellitus: Implications of a Real-World Study on Insulin Degludec Dosing.

When switching from premixed insulin to insulin degludec/aspart (IDegAsp), IDegAsp usually starts at the same dose as the premixed insulin according to limited clinical experience or at a dose according to clinician discretion. The dose of insulin degludec used in the real world after switching has been poorly investigated. A retrospective analysis was conducted on patients with type 2 diabetes who switched from premixed insulin to IDegAsp from October 2016 to December 2023. Repeated measures analysis of variance was used to compare changes in insulin dose, glycated hemoglobin (HbA1c), fasting blood glucose (FBG), and postprandial blood glucose (PBG) before and after switching. Sixty-six patients with prior low-ratio premixed insulin and 22 with prior mid-ratio premixed insulin were included. Among the low-ratio insulin users, the total daily dose of insulin degludec (IDeg) decreased by 21.43% and 19.05% at 3 and 6months, respectively, after switching, compared with prior basal insulin dose (both p < 0.001). Conversely, among mid-ratio insulin users, the IDeg daily dose increased by 10.71% and 32.14% at 3 and 6months, respectively, after switching, compared with prior basal insulin dose (both p < 0.001). In all patients, HbA1c levels decreased by 0.70%, FBG decreased by 1.00mmol/l, and PBG decreased by 1.61mmol/l after 6months of switching (all p < 0.05); the total daily insulin dose and injection frequency significantly decreased after switching (both p < 0.05); age and disease duration did not affect IDegAsp effects on HbA1c reduction. In the setting of transition to IDegAsp from premixed insulin, the dose of basal insulin in the premixed formulation can be a valuable reference for adjusting insulin degludec dose. IDegAsp is superior to premixed insulin in blood glucose control with reduced total daily dose and injection frequency. IDegAsp could be the best choice for the management of diabetes in elderly patients.

Adiponectin and Inflammatory Marker Levels in the Elderly Patients with Diabetes, Mild Cognitive Impairment and Depressive Symptoms.

Some studies suggest that low-grade inflammation and adipokines may be involved in mild cognitive impairment (MCI) and depression in subjects with type 2 diabetes; however, the available data concerning the elderly population are limited. Therefore, we conducted novel research to determine the serum adiponectin, hs-CRP and TNF-α levels in elderly diabetic patients with MCI and depressive symptoms and to identify the factors associated with MCI in this group. A total of 178 diabetic patients (mean age 84.4 ± 3.4 years) were screened for MCI and depressive symptoms. Various biochemical and biomarker data were collected. We found that patients with MCI and depressive symptoms demonstrated lower adiponectin levels and high hs-CRP and TNF-α. In this group, adiponectin concentration was negatively correlated with hs-CRP, TNF-α, HbA1c, and GDS-30 scores and positively correlated with MoCA scores. Multivariable analysis found the risk of MCI to be associated with higher TNF-α levels, fewer years of formal education, an increased number of comorbidities, and the presence of CVD. We concluded that low-grade inflammation and the presence of adipokines are associated with MCI and depressive symptoms in elderly diabetics. Further research should evaluate the suitability of Hs-CRP, TNF-α, and adiponectin as diagnostic markers for MCI and potential therapeutic targets.

S2436 Exocrine Pancreatic Insufficiency Under-Recognized in Type 2 Diabetic Elderly Patients

S2436 Exocrine Pancreatic Insufficiency Under-Recognized in Type 2 Diabetic Elderly Patients

Matrix Metalloproteinase 2 and Interleukin 29 as Novel Biochemical Markers for Neurovascular Complications among Type 2 Diabetic Elderly Patients

Matrix Metalloproteinase 2 and Interleukin 29 as Novel Biochemical Markers for Neurovascular Complications among Type 2 Diabetic Elderly Patients

Exploring the decision-making experience of elderly diabetes patients regarding their health-seeking behaviour: a descriptive qualitative study

BackgroundDiabetes has emerged as a critical global public health issue. The burden of diabetes is escalating in developing countries, including China. For individuals with diabetes, making informed and rational decisions...

Management Strategies for Older Patients with Diabetes Mellitus

More than 30% of the Korean population aged ≥ 65 years has diabetes. Elderly patients with diabetes mellitus are more likely to have comorbidities and often suffer co-morbid cognitive and physical disabilities, depression, and polypharmacy. Older patients with diabetes and good health status can be treated in the same way as younger patients with diabetes. Treatment should be individualized and simplified as much as possible for patients with reduced functionality and comorbidity. The goal of glycemic control in elderly diabetic patients is to control symptoms of hyperglycemia, prevent hypoglycemic events, delay the occurrence of complications, and help patients maintain healthy lives.

Optimizing Antibiotic Treatment for Urinary Tract Infections Secondary to Escherichia coli in Elderly Diabetic Patients: Considering Age and Blood Glucose Control

Introduction: This study aimed to examine the susceptibility profile of Escherichia coli in urinary tract infections (UTIs) among elderly diabetic patients to support judicious and evidence-based antibiotic use. Methods: From January 2021 to December 2022, urine culture results were analyzed to determine the distribution of pathogens, especially E. coli, and their drug susceptibility. Results: E. coli infection was the most prevalent infection in elderly diabetic patients with UTIs, accounting for 32.6% of cases. Moreover, this bacterium’s multiple resistance rate (38.3%) was significantly higher than other bacteria’s multiple resistance rate (χ2 = 81.644, p < 0.05). Compared to older diabetic patients with optimal glucose control (HbA1c ≤7.0%), patients with poor glycemic control (HbA1c >7.0%) had lower resistance rates to lactams, and urine pH values were higher (p < 0.05). Conclusion: The most common cause of UTIs is E. coli, with advanced age and diabetes being the main risk factors. To optimize UTI treatment safety and efficacy, antibiotics should be administered based on the patient’s age and blood glucose control.

Determinants and prediction of hypertension among Chinese middle-aged and elderly adults with diabetes: A machine learning approach

ObjectiveMultimorbidity, particularly diabetes combined with hypertension (DCH), is a significant public health concern. Currently, there is a gap in research utilizing machine learning (ML) algorithms to predict hypertension risk in Chinese middle-aged and elderly diabetic patients, and gender differences in DCH comorbidity patterns remain unclear. We aimed to use ML algorithms to predict DCH and identify its determinants among middle-aged and elderly diabetic patients in China. Study designCross-sectional study. MethodsData were collected on 2775 adults with diabetes aged ≥45 years from the 2015 China Health and Retirement Longitudinal Study. We employed nine ML algorithms to develop prediction models for DCH. The performance of these models was evaluated using the area under the curve (AUC). Additionally, we conducted variable importance analysis to identify key determinants. ResultsOur results showed that the best prediction models for the overall population, men, and women were extreme gradient boosting (AUC = 0.728), light gradient boosting machine (AUC = 0.734), and random forest (AUC = 0.737), respectively. Age, waist circumference, body mass index, creatinine level, triglycerides, taking Western medicine, high-density lipoprotein cholesterol, blood urea nitrogen, total cholesterol, low-density lipoprotein cholesterol, and sleep disorders were identified as common important predictors by all three populations. ConclusionsML algorithms showed accurate predictive capabilities for DCH. Overall, non-linear ML models outperformed traditional logistic regression for predicting DCH. DCH predictions exhibited variations in predictors and model accuracy by gender. These findings could help identify DCH early and inform the development of personalized intervention strategies.

Benefits of SGLT2 inhibitors on renal and cardiovascular protection, in diabetic patients

Introduction: Type 2 Diabetes Mellitus is major risk factors for both cardiovascular and renal diseases. Managing cardiovascular risk and the progression of renal disease is therefore essential in treating diabetic patient. Sodium-glucose cotransporter-2 inhibitors have been linked to a substantial decrease in cardiovascular and renal mortality, reduced hospitalizations for heart failure and slower progression of renal damage and albuminuria. Objectives: Our study aimed to evaluate the impact of SGLT2i on cardiovascular and renal protection in diabetic patients. Methods: Our study involved elderly patients, with type 2 diabetes, who were divided in two groups, one group received SGLT2i, while the other did not. Data were collected at the start of treatment, as well as at 3, 6, 9 and 12 months thereafter. During each evaluation, we assessed HbA1C, BMI, GFR and renal parameters, uric acid, NTproBNP, echocardiography, and both PAS and PAD values, in both groups. Results: Out of 300 elderly diabetic patients included in the study, 200 were started on dapagliflozin 10 mg. At 12 months, HbA1c, weight, systolic blood pressure, NTproBNP, uric acid, albuminuria, were decreases in group with dapagliflozin versus the other group without it, and estimated glomerular filtration rate was higher (75.3 – 87.19mL/min/1.73m2; p&lt;0.005). Follow up in patients with SGLT2i showed a significant decrease in left ventricular end-diastolic dimension (LV-EDD) (62.86 mm to 54.85 mm; P&lt; 0.001) and improvement in LV-EF. Conclusions: The use of Dapagliflozin demonstrated metabolic benefits in patients with T2DM, including notable decreases in HbA1c, blood pressure, weight, uric acid, and NTproBNP. Additionally, cardiovascular and renal benefits were observed. Therefore, SGLT2i have a significant impact on both cardiovascular and renal protection in diabetic patients.

Evaluating potential unexpected adverse events and mortality after oral analgesics administration in fracture care-A cohort study.

Analgesic selection per individual's tolerance is essential to avoid risks. The study evaluated current oral analgesic prescription practice, analgesic adverse effects-related factors, unexpected events, and mortality post-fracture surgery. Present prospective cohort study from June 2022 to July 2023 enrolled a total of 198 proximal femoral, ankle, and hindfoot trauma fracture patients. Stratification was done for oral analgesics prescribed at hospital discharge and 1 week with their accompanying toxicity assessed for 2 weeks. Analyzed Kaplan-Meier curve and the absolute risk for possible analgesics-related deaths. Following oral analgesics administration, 122 (62%) patients experienced adverse events. In seven expiries, five were possibly due to acetaminophen added tramadol combined with any of pregabalin, diclofenac, etoricoxib, or gabapentin (absolute risk 2.5%, 97.5% proportion 2 weeks survival). Three (2% of 122) patients taking acetaminophen added tramadol or diclofenac experienced unexpected serious adverse events. Elderly diabetic and hypertensive hip fracture patients expired or experienced unexpected events. Data suggest that oral acetaminophen added tramadol combined with any of pregabalin, diclofenac, etoricoxib, or gabapentin might increase the death risk or unexpected serious adverse events in elderly diabetic and hypertensives suffering from intertrochanteric/femoral neck fracture. Safe analgesic selection is necessitated for at-risk patients.

Quality of life of elderly diabetes patients in Beijing, China

Quality of life of elderly diabetes patients in Beijing, China

Effects of SGLT2-Inhibitors on Comprehensive Geriatric Assessment, Biomarkers of Oxidative Stress, and Platelet Activation in Elderly Diabetic Patients with Heart Failure with Preserved Ejection Fraction.

Heart failure (HF) with preserved ejection fraction (HFpEF) represents a major comorbidity in the elderly and is associated with cognitive impairment (CoI) and type 2 diabetes mellitus (T2DM). In this context, there is an increase in oxidative stress and platelet activation biomarkers. The aim of this study was to evaluate the effects of 6 months' treatment with SGLT2i on functional, mood-related, and cognitive aspects, assessed by performing a comprehensive geriatric assessment (CGA), and on oxidative stress and platelet activation biomarkers, in a cohort of HFpEF elderly patients with T2DM. We recruited 150 elderly outpatients (mean age 75.8 ± 7.4 years). At six-month follow-up, there was a significant improvement in MMSE (p < 0.0001), MoCA (p < 0.0001), GDS score (p < 0.0001), and SPPB (p < 0.0001). Moreover, we observed a significant reduction in Nox-2 (p < 0.0001), 8-Isoprostane (p < 0.0001), Sp-Selectin (p < 0.0001), and Gp-VI (p < 0.0001). Considering ΔMMSE as the dependent variable, ΔE/e', ΔNox-2, ΔHOMA, Δ8-Isoprostane, and ΔUricemia were associated for 59.6% with ΔMMSE. When ΔMoCA was considered as the dependent variable, ΔHOMA, ΔE/e', Δ8-Isoprostane, ΔNox-2 and ΔUricemia were associated for 59.2%. Considering ΔGDS as the dependent variable, ΔHOMA, ΔNox-2, Δ8-Isoprostane, and ΔUricemia were associated with 41.6% of ΔGDS variation. Finally, ΔHOMA was the main predictor of ΔSPPB, which was associated with 21.3% with ΔSPPB, Δ8-Isoprostane, ΔNox-2, ΔE/e', and ΔUricemia added another 24.1%. The use of SGLT2i in elderly patients with T2DM and HFpEF significantly contributes to improving CGA scales and biomarkers of OS and PA.

The frequency of cachexia and its associated factors in elderly diabetic patients with chronic diseases: A study using the diagnostic criteria of the Asian Working Group for Cachexia

To evaluate the frequency of cachexia and its associated factors using the Asian Working Group for Cachexia (AWGC) criteria in elderly patients with diabetes and chronic diseases. The subjects were diabetic outpatients of ≥65 years of age who were managed at Ise Red Cross Hospital. Patients with chronic disease (chronic heart failure, cancer, or chronic renal failure). Cachexia was evaluated based on the AWGC criteria and was defined as a body mass index (BMI) <21 kg/m2 and one or more of the following: anorexia, elevated C-reactive protein, and decreased grip strength. A logistic regression analysis was used to identify cachexia-related factors, with cachexia as the dependent variable, and various variables (basic attributes, blood glucose-related parameters, diabetic complications, comorbidities, and treatment) as explanatory variables. Two hundred forty-two patients (male, n=164; female, n=78) were included in the study. Forty patients (16.5%) had cachexia. A logistic analysis revealed that age (odds ratio (OR), 1.16; P<0.001), type 1 diabetes (OR, 15.25; P=0.002), diabetic retinopathy (OR, 5.72; P=0.001), and physical frailty (OR, 7.06; P<0.001) were associated with cachexia. Elderly diabetics with chronic diseases were more likely to have cachexia. According to the AWGC criteria, the frequency of cachexia was 16.5% in elderly patients with diabetes and chronic diseases. Additionally, type 1 diabetes, diabetic retinopathy, age, and physical frailty were identified as factors associated with cachexia. In elderly diabetes patients with chronic diseases, it is therefore important to raise awareness regarding cachexia when these related factors are diagnosed.

Undernutrition and sarcopenic obesity according to the GLIM criteria phenotype in elderly patients with diabetes

To evaluate the frequency of malnutrition and sarcopenic obesity in elderly patients with diabetes according to the Global Leadership Initiative on Malnutrition (GLIM) phenotypes. The subjects were outpatients with diabetes who were ≥65 years of age and were managed at Ise Red Cross Hospital. Undernutrition was assessed and categorized into the following GLIM criteria phenotypes: (1) no undernutrition, (2) undernutrition (weight loss or low body mass index [BMI]/no low appendicular skeletal muscle mass index [ASMI]), (3) undernutrition (no weight loss or no low BMI/low ASMI), and (4) undernutrition (weight loss or low BMI/low ASMI). Sarcopenia was diagnosed according to the definition of the Asian Working Group for Sarcopenia 2019, and obesity was diagnosed based on the body fat percentage. In total, 490 patients were included in the analysis. The frequency of undernutrition was 29.0%, and the frequency of undernutrition according to the GLIM criteria phenotypes was as follows: weight loss or low BMI/no low ASMI group, 10.6%; no weight loss and no low BMI/low ASMI group, 9.8%; and weight loss or low BMI/low ASMI group, 8.6%. The frequency of sarcopenic obesity was 7.3%, with the majority of cases found in the no weight loss or no low BMI/low ASMI groups. The frequency of undernutrition and sarcopenic obesity in elderly patients with diabetes, according to the GLIM phenotypes, was revealed. It is important to pay attention not only to weight loss and low BMI, but also to undernutrition and sarcopenic obesity with reduced skeletal muscle mass when diagnosing undernutrition in elderly diabetic patients.

Elevated TyG index is associated with increased risk of vitamin D deficiency among elderly patients with type 2 diabetes

Vitamin D deficiency (VDD) is associated with increased risk of type 2 diabetes mellitus (T2DM) and insulin resistance (IR). We aimed to investigate the association between the triglyceride-glucose (TyG) index that represents IR and VDD in elderly patients with T2DM. We enrolled 572 elderly participants with T2DM in this study. TyG index was calculated as ln [fasting triglyceride (TG, mg/dL) × fasting blood glucose (mg/dL)/2]. Serum 25-hydroxyvitamin D [25(OH)D] level below 50 nmol/L was defined as VDD. The association between the TyG index and the VDD risk was evaluated by multivariate logistic regression analysis. We observed a significant decreased 25(OH)D level with the increase of the TyG index in elderly diabetic patients, and a negative correlation between the TyG index and 25(OH)D level. The participants in the highest TyG quartile had a 2.40-fold higher risk of VDD than those in the lowest TyG index quartile [OR 2.40; 95% CI 1.47–3.92; P < 0.001]. The association persisted after adjustments for age, sex, smoking, obesity, insulin therapy, hypoglycemic agents’ medication, and some biochemical parameters. TyG index may be involved in the pathophysiology of VDD, which could be a predictor for VDD in elderly diabetic patients.

Association between diabetes prevalence and mortality risk in the elderly aged 60 years and above in Liaoning Province, 2017-2019

Objective: To investigate the prevalence of diabetes in the elderly aged ≥60 years in Liaoning Province from 2017 to 2019 and analyze the impact of blood glucose control on all-cause mortality and cardiovascular disease (CVD) mortality. Methods: A survey was conducted in the elderly aged ≥60 years in Liaoning from 2017 to 2019 to collect the information about the prevalence of diabetes and other chronic diseases in the diabetes patients. The mortality of the enrolled subjects was investigated in September 2023. Cox proportional hazards regression models were used to estimate the association between blood glucose control in the elderly with diabetes and the risks of all-cause mortality and CVD mortality. Results: The crude prevalence of diabetes in the elderly aged ≥60 years was 20.2% (2 014/9 958) in Liaoning from 2017 to 2019, and the standardized prevalence rate was 19.9%. The prevalence rates of hypertension, dyslipidemia, and overweight/obesity in the diabetes patients were 77.0%, 51.7%, and 67.5% respectively. The median follow-up time was 5.5 years, and the all-cause mortality and CVD mortality rates in the diabetes patients were 244.3/10 000 person-years and 142.9/10 000 person-years, respectively. The results of the Cox proportional hazards regression model analysis showed that compared with non-diabetic individuals, diabetes patients had an increased risk of all-cause mortality by 1.68 times [hazard ratio (HR)=1.68, 95%CI: 1.44-1.94] and an increased risk of CVD mortality by 1.56 times (HR=1.56, 95%CI: 1.29-1.89). The differences in risks of all-cause mortality and CVD mortality between the diabetes patients with normal fasting blood glucose and glycated hemoglobin levels and people without diabetes were not significant (all P>0.05). The failure to meet either the FPG or HbA1c target increased the risk of all-cause mortality (all P<0.05). For individuals who failed to meet the HbA1c target, there was an increased risk of CVD mortality (all P<0.05). Conclusions: The comorbidity rate of chronic diseases was higher in the elderly with diabetes than in the elderly without diabetes in Liaoning. Elderly diabetes patients can benefit from good blood glucose control.

Advancing elderly diabetes care: exploring the usability and acceptance of continuous glucose monitoring (CGM)

ObjectivesThis study aimed to evaluate the acceptability, usability, compliance, and satisfaction of Continuous Glucose Monitoring (CGM) among elderly diabetic patients. DesignUtilizing a mixed-methods approach, the study involved 30 participants, averaging 74.79 years in age. Participants wore two CGM devices, and their experiences, along with survey data, were comprehensively analyzed to gauge the effectiveness of CGM in managing diabetes. ResultsThe study demonstrated that -CGM- is highly usable and acceptable among elderly diabetic patients. Participants effectively utilized CGM to monitor and predict blood glucose trends, positively influencing their glucose control and lifestyle. The average adherence rate was found to be 81 %, indicating a substantial level of effective self-management and treatment decision-making. ConclusionThe study recommends developing CGM educational programs tailored for the elderly, educating healthcare professionals, expanding insurance coverage for CGM, and promoting real-time CGM technology to improve usability and acceptance among the elderly.