Elderly Type 2 Diabetes Mellitus Patients Research Articles

Association of Low Protein-to-Carbohydrate Energy Ratio with Cognitive Impairment in Elderly Type 2 Diabetes Patients

Background/Objectives: The relationship between macronutrient intake and cognitive decline in older adults with type 2 diabetes mellitus (T2DM) remains underexplored. Methods: This cross-sectional study aimed to evaluate the association between the protein-to-carbohydrate energy ratio (%E:P) and cognitive impairment among 192 elderly T2DM patients. Cognitive function was assessed using the Montreal Cognitive Assessment (MoCA) and the Self-Administered Gerocognitive Exam (SAGE), while dietary intake data, including (%E:P), was gathered using a validated semi-quantitative food frequency questionnaire. Results: Participants had a mean age of 71 ± 6 years, 46.4% were female, and the median BMI was 30 ± 4 kg/m2. After adjusting for confounding variables, patients in the highest (%E:P) tertile showed significantly higher MoCA and SAGE scores compared to those in the lowest tertile (p < 0.005). We identified an optimal (%E:P) threshold of 0.375 for predicting cognitive impairment, with a sensitivity of 53% and specificity of 64%. Conclusions: These findings suggest that a lower (%E:P) ratio may be a risk factor for cognitive impairment in elderly T2DM patients. Monitoring this ratio may serve as an early detection tool for cognitive deterioration. Moreover, current protein intake recommendations for older adults with T2DM may be insufficient to prevent cognitive impairment. Further research is needed to establish optimal dietary guidelines for this population.

Abstract 4122350: Most Diabetes Mellitus Patients Had Right Lower Pulmonary Vein Thrombi; Additionally, Many Patients Had Extended Large Rod-Like Thrombi in the Left Atrium

Background: Retrieved thrombus studies have shown that retrieved thrombi have calcifications, indicating that the thrombi are old. Left atrium diverticula (LADs) are common; however, the mechanisms of LAD formation are poorly understood. Pulmonary vein thrombi (PVTs) are common and are underestimated. In 2022, we reported that 98.6% of senior patients with age-related diseases such as hypertension, dyslipidemia and atrial fibrillation had PVTs, as estimated by cardiac computed tomography (CT) and transesophageal echocardiography (TEE). Additionally, we reported a case in which a malignant lymphoma patient had ATs in the right lower pulmonary vein, in which extended large rod-like thrombi in the left atrium (LA) were found, as determined by TEE. Patients with type 2 diabetes mellitus (T2DM) must have PVTs. The characteristics of extended LA thrombi in patients with T2DM are unclear. Methods: Thirty-one patients with T2DM (73.5 +/- 8.9 y.o., from 50 y.o. to 88 y.o.; male, 24) were examined for PVTs, as estimated via TEE and cardiac CT. Results: Thirty (97%) patients with T2DM had PVTs in the right lower pulmonary vein (RLPV) and connected LA thrombi, as estimated using TEE. Among them, 27 (87%) patients had large white rod-like LA thrombi extending from RLPV thrombi, and the diameter of the thin part of the rod-like LA thrombi was approximately 5 mm. The end of the LA thrombi was mainly attached to the left side of the anterior wall or the posterior side of left side wall of the LA. Additionally, there were left atrium diverticula (LADs) around the attachment regions. Three patients had RLPV thrombi and connected shorter LA thrombi. A 79-year-old male patient did not have detectable PVTs. The patient had taken apixaban (2.5 mg, twice daily) for six years due to atrial fibrillation and stroke. Conclusions: Most (97%) elderly T2DM patients had RLPV thrombi. Additionally, many (87%) patients had extended large rod-like thrombi in the LA. The diameter of the thin part of the large rod-like LA thrombi was approximately 5 mm. There were LADs around the attachment regions where the ends of the LA thrombi from the RLPV thrombi were attached.

Association of waist-to-hip ratio adjusted for body mass index with cognitive impairment in middle-aged and elderly patients with type 2 diabetes mellitus: a cross-sectional study

BackgroundNumerous reports indicate that both obesity and type 2 diabetes mellitus (T2DM) are factors associated with cognitive impairment (CI). The objective was to assess the relationship between abdominal obesity as measured by waist-to-hip ratio adjusted for body mass index (WHRadjBMI) and CI in middle-aged and elderly patients with T2DM.MethodsA cross-sectional study was conducted, in which a total of 1154 patients with T2DM aged ≥ 40 years were included. WHRadjBMI was calculated based on anthropometric measurements and CI was assessed utilizing the Montreal Cognitive Assessment (MoCA). Participants were divided into CI group (n = 509) and normal cognition group (n = 645). Correlation analysis and binary logistic regression were used to explore the relationship between obesity-related indicators including WHRadjBMI, BMI as well as waist circumference (WC) and CI. Meanwhile, the predictive power of these indicators for CI was estimated by receiver operating characteristic (ROC) curves.ResultsWHRadjBMI was positively correlated with MoCA scores, independent of sex. The Area Under the Curve (AUC) for WHRadjBMI, BMI and WC were 0.639, 0.521 and 0.533 respectively, and WHRadjBMI had the highest predictive power for CI. Whether or not covariates were adjusted, one-SD increase in WHRadjBMI was significantly related to an increased risk of CI with an adjusted OR of 1.451 (95% CI: 1.261–1.671). After multivariate adjustment, the risk of CI increased with rising WHRadjBMI quartiles (Q4 vs. Q1 OR: 2.980, 95%CI: 2.032–4.371, P for trend < 0.001).ConclusionsOur study illustrated that higher WHRadjBMI is likely to be associated with an increased risk of CI among patients with T2DM. These findings support the detrimental effects of excess visceral fat accumulation on cognitive function in middle-aged and elderly T2DM patients.

Relationship between bone turnover markers and renal disease in elderly patients with type 2 diabetes: a cross-sectional study

ObjectiveThe prevalence of type 2 diabetes mellitus (T2DM) and bone metabolism disorders increase with age. Diabetic kidney disease (DKD) is one of the most serious microvascular complications of T2DM, and bone metabolism disorders are closely linked to the occurrence of DKD. The relationship between bone turnover markers(BTMs) and the kidney disease in elderly patients with T2DM remains unclear. Therefore, this study aims to investigate the association between common BTMs and DKD in a large sample of elderly patients. The goal is to provide a basis for early identification of high-risk individuals for DKD among elderly T2DM patients from a bone metabolism perspective.MethodsIn this cross-sectional study, BTMs were collected from a cohort of 2,051 hospitalized Chinese patients. The relationships between 25-hydroxyvitamin D (25-OH-D), β-CrossLaps (β-CTX), osteocalcin (OSTEOC), intact parathyroid hormone (iPTH), and total type I collagen N-terminal propeptide (TP1NP), and DKD, as well as urinary albumin-to-creatinine ratio (UACR) and estimated glomerular filtration rate (eGFR) were analyzed using regression analysis and restrictive cubic spline (RCS) curves.ResultsHigher 25-OH-D levels were independently linked to a lower incidence of DKD and decreased UACR. The RCS curves showed a linear association of 25-OH-D and DKD, approaching the L-shape. β-CTX was independently and positively correlated with UACR. There is an independent positive correlation between OSTEOC and UACR and a negative correlation with eGFR. iPTH is independently and positively correlated with DKD incidence and UACR, and negatively correlated with eGFR. Additionally, the RCS curves showed a non-linear association of OSTEOC and iPTH and DKD, approaching the J-shape, and the point of inflection is 10.875 ng/L and 34.15 pg/mL respectively. There is an independent positive correlation between TP1NP and UACR incidence, and a negative correlation with eGFR. Risk estimates significantly increase with higher TP1NP levels in the RCS model.ConclusionBTMs are closely associated with kidney disease in elderly patients with T2DM. These discoveries potentially assist clinicians in establishing more preventive measures and targeted treatment strategies for elderly patients with T2DM.

Sex differences in health-related quality of life among older Korean adults with type 2 diabetes mellitus: a cross-sectional study

Objectives: This cross-sectional study examined sex differences in Health-Related Quality of Life (HRQoL) among seniors with Type 2 Diabetes Mellitus (T2DM).Methods: Data from the Korea National Health and Nutrition Examination Survey (2008–2020) were analyzed. The EuroQol-5 Dimensions (EQ-5D), a measure of HRQoL, was used. It comprises five dimensions: mobility, self-care, usual activity, pain/discomfort, and anxiety/depression, each with three levels.Results: Analysis of 3,826 older adults with T2DM showed a significant increasing trend in the EQ-5D Index from the 4th survey phase onwards (P for trend &lt; 0.001 for both men and women). Men consistently reported higher EQ-5D levels than women across all survey years. Women’s EQ-5D levels remained lower than men’s, maintaining a decade-old disparity (P &lt; 0.05). Men scored significantly higher (P &lt; 0.05) in most EQ-5D domains, except for self-care and anxiety/depression, resulting in a higher total EQ-5D Index (P = 0.001). Increased comorbidities were strongly associated with lower EQ-5D levels in both sexes. Additionally, there was a negative correlation between the EQ-5D Index and refined grain intake for both sexes (P for trend &lt; 0.001), with high-EQ-5D groups consuming fewer refined grains. Women in the high-EQ-5D group consumed more nuts, vegetables, and meat compared to men (P for trend &lt; 0.05).Conclusions: Our study highlights the sex disparities in HRQoL among older adults with T2DM. The findings suggest the need for tailored treatment guidelines aimed at improving the HRQoL of elderly T2DM patients, with a focus on their sex-specific characteristics. Implementing these tailored guidelines could enhance the HRQoL of older women with T2DM and promote more equitable healthcare outcomes. This underscores the importance of considering sex differences to comprehensively improve the well-being of this population.

Prevalence and risk factors of osteosarcopenia in elderly patients with uncontrolled type 2 diabetes.

To assess the prevalence of osteosarcopenia (OS) in elderly patients with type 2 diabetes mellitus (T2DM) and explore the related risk factors for developing this condition. This cross-sectional study enrolled hospitalized T2DM patients aged 60 years and older. Patients underwent assessments of total hip bone mineral density (BMD), grip strength, the Short Physical Performance Battery (SPPB), and body composition. Based on the 2019 Asian Working Group for Sarcopenia (AWGS) criteria, appendicular skeletal muscle mass (ASM), grip strength, and SPPB were measured to diagnose sarcopenia. BMD and T values of the lumbar spine and hip were measured using dual-energy X-ray absorptiometry (DXA). Osteosarcopenia was defined when both sarcopenia and osteoporosis criteria were met. Statistical analysis included binary logistic regression to identify significant risk factors. A total of 254 hospitalized T2DM patients (80 males and 174 females) were included. They were divided into T2DM-OS (n = 58) and T2DM-NOS (n = 196) groups based on the presence of osteosarcopenia. The average ages were 72.724 ± 6.463 and 69.265 ± 6.035 years, respectively. The prevalence of osteosarcopenia in T2DM patients was 22.8%, with 20.7% (12 males) and 79.3% (46 females) in the T2DM-OS group. After adjusting for confounding factors, it was found that male gender (OR: 5.738, 95% CI: 1.602-20.551, P = 0.007), fasting plasma glucose (OR: 0.904, 95% CI: 0.821-0.995, P = 0.038), and ASMI (OR: 0.049, 95% CI: 0.013-0.184, P < 0.001) were major influencing factors for the development of osteosarcopenia in elderly T2DM patients. The prevalence of T2DM-OS is relatively high, with male gender, low fasting plasma glucose, and low ASMI identified as risk factors.

Estimating the Economic Burden of Type 2 Diabetes Among the Elderly in Tehran Province

Background: The prevalence of non-communicable diseases such as diabetes tends to rise with age, peaking among the elderly population. Objectives: This study aimed to estimate the economic burden of type 2 diabetes mellitus (T2DM) among the elderly in Tehran province. Methods: This research employs a descriptive-analytical approach, focusing on T2DM patients who attended the specialized diabetes clinic of Tehran province in 2019. A total of 1256 cases were included in the study. Data collection involved reviewing hospital records and accessing information from the accounting department. Data analysis was conducted using Excel software. Results: The economic burden of T2DM amounted to 432,471,301,510 Rials. Among this, 230,841,323,930 Rials (53.3%) were attributed to the costs of diagnosis and treatment, while 180,365,897,580 Rials (41.7%) were associated with treating disease complications. Additionally, 9,043,200,000 Rials (2%) accounted for non-medical direct costs (NMDC), and 12,220,880 Rials (0.3%) were attributed to NMDC due to complications. Conclusions: Given the substantial financial burden incurred by elderly T2DM patients and the constraints on healthcare resources, it is imperative to prioritize preventive and therapeutic measures for this demographic. Comprehensive efforts are needed to mitigate the costs and consequences of this disease within the healthcare system.

Application value of DSMB-O scale in self-management of elderly patients with type 2 diabetes mellitus.

To enhance the self-management ability of elderly diabetes mellitus (DM) patients, priority should be given to the accurate evaluation of their current self-management ability, and then provide corresponding guidance. To explore the application value of Diabetes Self-Management Behaviors among Older Koreans (DSMB-O) in self-management of elderly patients with type 2 diabetes mellitus (T2DM). Using convenient sampling, this study retrospectively collected the clinical data of 215 elderly patients with T2DM who were admitted to our hospital from June 2020 to June 2022. Enrolled patients were divided into an effective-control group (n= 80) and an ineffective-control group (n= 135) based on whether the glycated hemoglobin (HbA1C) was < 7.5% for further comparison of the collected data. There were statistically significant differences in the comparison of the proportion of diabetes mellitus (DM) course (χ2= 26.000, P< 0.001), DSMB-O score (17.67 ± 4.07 VS 14.67 ± 4.70 points, t= 4.582, P< 0.001), and Summary Diabetes Self Care Activity (SDSCA) score (43.16 ± 11.17 VS 37.58 ± 12.47 points, t= 5.492, P< 0.001) between the two groups. The total score of DSMB-O was negatively correlated with both HbA1c (r=-0.281, P< 0.001) and complications (r=-0.193, P= 0.004); moreover, the total score of SDSCA was also negatively correlated with both HbA1c (r=-0.234, P< 0.001) and complications (r=-0.153, P= 0.025). Among various dimensions of DSMB-O, active exercise (OR= 0.699, 95%CI: 0.541 ∼ 0.902) and blood glucose monitoring (OR= 0.603, 95%CI: 0.431 ∼ 0.817) were protective factors for T2DM patients with HbA1c levels < 7.5%. The area under the curve (AUC) of SDSCA score and DSMB-O score predicting self-management level in elderly T2DM patients was 0.643 (95%CI: 0.611 ∼ 0.756) and 0.716 (95%CI: 0.689∼ 0.774), respectively. DSMB-O exhibits a higher accuracy in predicting the self-management level of elderly patients with T2DM than that of SDSCA. Regular exercise, medication, blood glucose monitoring, and reducing the risk of complications are all intimately associated with the control of blood glucose.

Prediction model for mild cognitive impairment in patients with type 2 diabetes using the autonomic function test.

Type 2 diabetes mellitus (T2DM) is a risk factor for cognitive impairment, and reduced heart rate variability (HRV) has been correlated with cognitive impairment in elderly individuals. This study investigated risk factors and validated a predictive model for mild cognitive impairment (MCI) in patients with T2DM using an autonomic function test. Patients with T2DM, 50-85years of age, who attended the diabetes clinic at Gyeongsang National University Hospital between March 2018 and December 2019, were included. A total of 201 patients had been screened; we enrolled 124 patients according to the inclusion and exclusion criteria in this study. Cognitive function was assessed using the Montreal Cognitive Assessment-Korean version (MOCA-K); MCI was defined as a total MOCA-K score ≤ 23. Risk factors for MCI in patients with T2DM, including demographic- and diabetes-related factors, and autonomic function test results, were analyzed. Based on multivariate logistic regression, a nomogram was developed as a prediction model for MCI. Thirty-nine of 124 patients were diagnosed with MCI. Age, education, and decreased cardiovagal function were associated with a high risk for MCI, with cardiovagal function exerting the greatest influence. However, diabetes-related factors, such as glycemic control, duration of diabetes, or medications, were not associated with the risk for MCI. The nomogram demonstrated excellent discrimination (area under the curve, 0.832) and was well calibrated. Approximately one-third of patients had MCI; as such, carefully evaluating cognitive function in elderly T2DM patients with reduced HRV is important to prevent progression to dementia.

Development and validation of a predictive model for prolonged length of stay in elderly type 2 diabetes mellitus patients combined with cerebral infarction.

This study aimed to identify the predictive factors for prolonged length of stay (LOS) in elderly type 2 diabetes mellitus (T2DM) patients suffering from cerebral infarction (CI) and construct a predictive model to effectively utilize hospital resources. Clinical data were retrospectively collected from T2DM patients suffering from CI aged ≥65 years who were admitted to five tertiary hospitals in Southwest China. The least absolute shrinkage and selection operator (LASSO) regression model and multivariable logistic regression analysis were conducted to identify the independent predictors of prolonged LOS. A nomogram was constructed to visualize the model. The discrimination, calibration, and clinical practicality of the model were evaluated according to the area under the receiver operating characteristic curve (AUROC), calibration curve, decision curve analysis (DCA), and clinical impact curve (CIC). A total of 13,361 patients were included, comprising 6,023, 2,582, and 4,756 patients in the training, internal validation, and external validation sets, respectively. The results revealed that the ACCI score, OP, PI, analgesics use, antibiotics use, psychotropic drug use, insurance type, and ALB were independent predictors for prolonged LOS. The eight-predictor LASSO logistic regression displayed high prediction ability, with an AUROC of 0.725 (95% confidence interval [CI]: 0.710-0.739), a sensitivity of 0.662 (95% CI: 0.639-0.686), and a specificity of 0.675 (95% CI: 0.661-0.689). The calibration curve (bootstraps = 1,000) showed good calibration. In addition, the DCA and CIC also indicated good clinical practicality. An operation interface on a web page (https://xxmyyz.shinyapps.io/prolonged_los1/) was also established to facilitate clinical use. The developed model can predict the risk of prolonged LOS in elderly T2DM patients diagnosed with CI, enabling clinicians to optimize bed management.

Correlation between long-term glycemic variability and cognitive function in middle-aged and elderly patients with type 2 diabetes mellitus: a retrospective study.

To investigate the correlation between long-term glycemic variability and cognitive function in middle-aged and elderly patients with type 2 diabetes mellitus (T2DM). This retrospective analysis includes 222 patients hospitalized at Second Affiliated Hospital of Anhui Medical University from June 2021 to June 2023. Cognitive function was assessed using the Montreal Cognitive Assessment (MoCA) and Mini-Mental State Examination (MMSE). All patients were categorized into the MCI group and the non-MCI group based on their MoCA score. Long-term blood glucose fluctuations were measured using glycated hemoglobin A1c standard deviation (HbA1c-SD) and fasting plasma glucose standard deviation (FPG-SD). The study compared general clinical data, blood biochemical indicators, and glycemic variability indicators between the two groups. The differences between the groups were compared using t-test, Chi-Square Test, or Mann-Whitney U test. Kendall's correlation analysis, multivariate logistic regression analysis and ROC curve correlation analysis were further used to analyze the correlation and diagnostic power. The differences in age, MoCA scores, MMSE scores, HOMA-β, HbA1c-M, HbA1c-SD, FPG-M, FPG-SD, eGFR, Smoking, GLP-1RA and SGLT-2i usage were statistically significant between the two groups (P<0.05). Kendall's correlation analysis showed that age, HbA1c-M, HbA1c-SD, FPG-M, and FPG-SD was negatively correlated with MoCA scores; meanwhile, the HOMA-β, and eGFR was positively correlated with MoCA scores. Multiple logistic regression analysis revealed that HbA1c-SD, FPG-SD and Smoking were risk factors for cognitive dysfunction, while eGFR, GLP-1RA and SGLT-2i usage was a protective effect. The area under the curve (AUC) values for predicting MCI prevalence were 0.830 (95% CI [0.774-0.877], P<0.001) for HbA1c-SD, 0.791 (95% CI [0.655-0.808], P<0.001) for FPG-SD, and 0.698 (95% CI [0.633-0.757], P<0.001) for eGFR. The optimal diagnostic values were 0.91, 1.32, and 74.81 ml/min/1.73 m2 for HbA1c-SD, FPG-SD, and eGFR, respectively. Cognitive function in middle-aged and elderly T2DM patients is influenced by long-term blood glucose variability, with poorer cognitive function observed in individuals with higher blood glucose variability. The impact of HbA1c-SD on MCI exhibited a greater magnitude compared to that of PFG-SD and smoking. Additionally, renal function, GLP-1RA and SGLT-2i usage exert positive effects on cognitive function.

The impact of physical disability on the risk of gastric cancer incidence in elderly patients with diabetes: a focus on regional disparity.

Elderly patients with type 2 diabetes mellitus (T2DM) may have a higher risk of physical disability. This study investigated the incidence of gastric cancer according to physical disability status in elderly patients with T2DM. The National Health Insurance Service claims data were used. A total of 76,162 participants aged 60 years or above, diagnosed with T2DM, were included. The association between physical disability status and gastric cancer incidence was evaluated using the Cox regression analysis. Additionally, subgroup analysis was performed according to region. A total of 9,154 (12.0%) individuals had physical disability. Gastric cancer incidence was more common in participants with physical disability (3.3%) than those without (2.4%). A higher risk of gastric cancer incidence was found in elderly T2DM patients with physical disability (Hazard Ratio (HR) 1.18, 95% Confidence Interval (95% CI) 1.04-1.34). Such tendencies were maintained regardless of region, although the effect of physical disability status on gastric cancer incidence was particularly significant in individuals residing in non-metropolitan areas (HR: 1.19, 95% CI: 1.01-1.40). Elderly patients with T2DM who had physical disability showed a higher risk of gastric cancer incidence. The findings suggest a need to monitor elderly T2DM patients with disability as they may be susceptible to difficulties in accessing cancer-related healthcare.

Cognitive decline in elderly patients with type 2 diabetes is associated with glycated albumin, ratio of Glycated Albumin to glycated hemoglobin, and concentrations of inflammatory and oxidative stress markers

ObjectiveTo investigate the correlations of cognitive function with glycated albumin (GA), the ratio of GA to glycated hemoglobin (GA/HbA1c), and the concentrations of interleukin-6 (IL-6) and superoxide dismutase (SOD) in elderly patients with type 2 diabetes mellitus (T2DM). MethodsA total of 44 elderly T2DM patients were evaluated for cognitive function using the mini-mental state examination (MMSE) and the Montreal cognitive assessment (MoCA). Patients were then divided into two groups based on the MMSE and MoCA scores: a cognitive dysfunction group and a normal cognitive function group. The correlations of the MMSE and MoCA scores with GA/HbA1c, GA, IL-6, and SOD were analyzed. Logistic regression analysis was used to identify independent influential factors for cognitive dysfunction. The predictive value of GA and GA/HbA1c for cognitive dysfunction in elderly T2DM patients was evaluated by receiver operating characteristic (ROC) curve analysis. ResultsAmong these patients, 28 had cognitive impairment. They had significantly higher GA/HbA1c, increased GA and IL-6 levels, and lower SOD concentrations than the normal cognitive function group (all P < 0.05). GA/HbA1c was negatively correlated with the MMSE (r = −0.430, P = 0.007) and MoCA (r = −0.432, P = 0.007) scores. SOD was positively correlated with the MMSE (r = 0.585, P=0.014) and MoCA (r = 0.635, P=0.006) scores. IL-6 was negatively correlated with the MoCA score (r = −0.421, P=0.015). Age and GA/HbA1c were independent factors contributing to cognitive dysfunction. The areas under the ROC curves of GA and GA/HbA1c for the diagnosis of cognitive dysfunction were 0.712 and 0.720, respectively. ConclusionsGA and GA/HbA1c are related to cognitive dysfunction in elderly patients with T2DM.

Correlation of HbA1c Level with Lipid Profile in Type 2 Diabetes Mellitus Patients Visiting a Primary Healthcare Center in Jeddah City, Saudi Arabia: A Retrospective Cross-Sectional Study.

Type 2 diabetes mellitus (T2DM) patients are at high risk of dyslipidemia, which in turn is associated with macrovascular diseases, such as heart diseases and stroke, and microvascular diseases, such as neuropathy and nephropathy. There are contradictory findings in the literature regarding the relationship between glycated hemoglobin (HbA1c) and the lipid profile among T2DM patients. This study was performed to investigate the association between HbA1c level and the lipid profile in elderly T2DM patients at a primary care hospital in Jeddah City, Saudi Arabia. This study is a retrospective cross-sectional study conducted at the Prince Abdul Majeed Healthcare Center (PAMHC) in Jeddah, Saudi Arabia. The sociodemographic and clinical data of the T2DM patients who had visited the PAMHC from 1 January 2020 to 31 December 2021, were collected from the data registry of the PAMHC and analyzed for publication. The study included a total of 988 T2DM patients (53.3% male). Of the participants, 42.9% were aged between 55 and 64 years. Dyslipidemia parameters were presented as high LDL-c (in 60.3% cases), low HDL-c (in 39.8% cases), high triglycerides (in 34.9% cases), and high total cholesterol (in 34.8% cases). The correlation of HbA1c with total cholesterol (TC) and triglycerides (TGs) was positively significant, thereby highlighting the important link between glycemic control and dyslipidemia. A mean increase of 4.88 mg/dL and 3.33 mmHg in TG level and diastolic blood pressure, respectively, was associated with the male gender, in comparison to the female gender. However, the male gender was significantly associated with the reduction in the mean cholesterol level, BMI, HbA1c, HDL-c, and LDL-c by 11.49 mg/dL, 1.39 kg/m2, 0.31%, 7.47 mg/dL, and 5.6 mg/dL, respectively, in comparison to the female gender. The results of this study show that HbA1c was significantly associated with cholesterol and triglyceride levels in the T2DM patients included in the study. Our findings highlight the important relationship between glycemic control and dyslipidemia.

Effect of statin treatment on mortality in elderly patients with type 2 diabetes mellitus patients: a retrospective cohort study

BackgroundThe effects of statins on the reduction of mortality in individuals aged 75 years or older remain controversial. We conducted this study to investigate whether there is an association between statin therapy and mortality in patients with type 2 diabetes mellitus (T2DM) who are over the age of 75 years.MethodsThe present study used data from the Staged Diabetes Targeting Management Study, which began in 2005. A total of 518 T2DM patients older than 75 years were included. Cox regression analyses were used to evaluate the association between statins and specific causes of death in patients with T2DM.ResultsAfter a follow-up period of 6.09 years (interquartile range 3.94–8.81 years), 111 out of 518 patients died. The results of Cox regression analyses showed that there was no significant association between statin use and all-cause mortality (HR 0.75; 95% CI 0.47, 1.19) after adjustment for all potential confounders. Subgroup analysis indicated that statins had no association with the risk of all-cause mortality or deaths caused by ischemic cardiovascular diseases in T2DM patients with or without coronary heart disease.ConclusionsOur study found no significant association between all-cause mortality and statin use in T2DM patients over the age of 75 years. More evidence is needed to support the use of statins in the elderly T2DM patients.

Non-invasive diagnostic potential of salivary miR-25-3p for periodontal disease and osteoporosis among a cohort of elderly patients with type 2 diabetes mellitus

ObjectiveOsteoporosis (OP) and periodontal disease (PD) are two common health issues that threaten the older population and potentially connected each other in the context of type 2 diabetes mellitus (T2DM). Dysregulated expression of microRNAs (miRNAs) may contribute to the development and progression of both OP and PD among elderly T2DM patients. The present study aimed to evaluate the accuracy of miR-25-3p expression for the detection of OP and PD when compared to a mixed group of patients with T2DM.MethodsThe study recruited 45 T2DM patients with normal bone mineral density (BMD) and healthy periodontium, 40 type 2 diabetic osteoporosis patients coexistent with PD, 50 type 2 diabetic osteoporosis patients with healthy periodontium, and 52 periodontally healthy individuals. miRNA expression measurements in the saliva were determined by real-time PCR.ResultsThe salivary expression of miR-25-3p was higher in type 2 diabetic osteoporosis patients than patients with T2DM only and healthy individuals (P < 0.05). Among type 2 diabetic osteoporosis patients, those with PD exhibited a higher salivary expression of miR-25-3p than those with healthy periodontium (P < 0.05). Among type 2 diabetic patients with healthy periodontium, a higher salivary expression of miR-25-3p was noted in those with OP than those without (P < 0.05). We also found a higher salivary expression of miR-25-3p in T2DM patients than healthy individuals (P < 0.05). It was revealed that the salivary expression of miR-25-3p was increased as the T scores of BMD of patients were lowered, the PPD and CAL values of patients were enhanced. The salivary expression of miR-25-3p used as a test to predict a diagnosis of PD among type 2 diabetic osteoporosis patients, a diagnosis of OP among type 2 diabetic patients, and a diagnosis of T2DM among healthy individuals produced AUC of 0.859. 0.824, and 0.886, respectively.ConclusionThe findings obtained from the study support salivary miR-25-3p confers non-invasive diagnostic potential for PD and OP among a cohort of elderly T2DM patients.

Health literacy, self-efficacy, self-care behaviors, and glycemic control among older adults with type 2 diabetes mellitus: a cross-sectional study in Thai communities

BackgroundProperly understanding the health information of people with type 2 diabetes mellitus (T2DM) is the basis for better risk factor management, which also positively affects their quality of life. The aim of this study was to investigate diabetes health literacy (HL), self-efficacy, and self-care behaviors associated with glycemic control among older adults with T2DM in northern Thai communities.MethodsA cross-sectional study was conducted among 414 older adults over the age of 60 diagnosed with T2DM. The study was conducted in Phayao Province from January to May 2022. Simple random sampling of the patient list for the Java Health Center Information System program was used. Questionnaires were used to collect data on diabetes HL, self-efficacy, and self-care behaviors. Blood samples were tested for estimated glomerular filtration rate (eGFR) and glycemic controls, such as fasting blood sugar (FBS) and glycated hemoglobin (HbA1c).ResultsThe mean age of participants was 67.1 years. FBS (mean ± SD = 108.5 ± 29.5 mg/dL) and HbA1c (mean ± SD = 6.6 ± 1.2%) levels were found to be abnormal in 50.5% (≥ 126 mg/dL) and 17.4% (≥ 6.5%) of the subjects, respectively. There was a strong correlation between HL and self-efficacy (r = 0.78), HL and self-care behaviors (r = 0.76), and self-efficacy and self-care behaviors (r = 0.84). The eGFR was significantly correlated with diabetes HL (r = 0.23), self-efficacy (r = 0.14), self-care behaviors (r = 0.16), and HbA1c (r = -0.16) scores. Linear regression after adjusting for sex, age, education, DM duration, smoking, and drinking alcohol showed that FBS level was inversely associated with diabetes HL (Beta = -0.21, R2 = 11.0%), self-efficacy (Beta = -0.43, R2 = 22.2%), and self-care behavior (Beta = -0.35, R2 = 17.8%), whereas HbA1C level was negatively associated with diabetes HL (Beta = -0.52, R2 = 23.8%), self-efficacy (Beta = -0.39, R2 = 19.1%), and self-care behavior (Beta = -0.42, R2 = 20.7%).ConclusionDiabetes HL was related to self-efficacy and self-care behaviors in elderly T2DM patients and was shown to influence their health, including glycemic control. These findings suggest that implementing HL programs to build competence in self-efficacy expectations is important for contributing to improvements in diabetes preventive care behaviors and HbA1c control.

Assessment of Elderly Type 2 Diabetic Patients who Self-adjust Their Insulin Regimen in Al-Qassim Region

BACKGROUND: Type 2 diabetes mellitus (T2DM) is a multifactorial chronic disease. To avoid long-term and short-term complications, good glycemic control must be achieved. The majority of T2DM patients who require insulin therapy have their doses modified by their physicians; this procedure takes time and may not result in the optimal glycemic control. AIM: This study aims to ascertain whether elderly T2DM patients in Al-Qassim region modify their own insulin regimen and its effect on their glycemic control. METHODS: This cross-sectional study was conducted in Al-Qassim University Medical City and Diabetic Centers in Buraydah, Saudi Arabia. Data were collected using a questionnaire. RESULTS: A total of 384 participants were enrolled with a mean age of 70.2 ± 6.0 (61–94) years, majority (53.6%) of whom were females. About half (50.8%) were not educated and two-third (66.1%) giving insulin injections by themselves. Less than half (40.6%) of the participants changed their insulin dose, out of which 8.3% changed the dose by themselves. The mean hemoglobin A1C (HbA1c) level was 8.8 ± 1.9 with a range of 5.2–17. About 30.5% had recent hypoglycemic attacks, majority (47.9%) of whom had only one episode. Diabetic complications were seen among 127 participants with retinopathy as the most common (43.3%) complication. Hypoglycemic attacks and insulin dose adjusting were not found to be significantly associated (p = 0.476). The last HbA1c level was found to be significantly associated with adjusting insulin dose. CONCLUSION: Self-adjusting insulin dose was found to be rare. Moreover, HbA1c in patients who self-adjust their insulin dose was found to be significantly lower.

Mediating Role of Depression Between Diabetes Management Self-Efficacy and Diabetes Self-Care Behavior Among Elderly Type 2 Diabetes Mellitus Patients in China.

To investigate the current status of diabetes self-care behavior and the association between depression, self-efficacy and self-care in a sample of Chinese elderly type 2 diabetes mellitus (T2DM) patients. A cross-sectional study with a convenient sample including 240 elderly T2DM patients collected the data of demographic characteristics, diabetes self-care behavior, self-efficacy and depression status. The difference of self-care behavior in different sample characteristics was compared by independent t-test. The Personal correlation analysis was employed to examine the correlation of study variables. The method of bootstrap was used to analyze mediating role of depression. Only 22.5% of patients reported better diabetes self-care behavior and depression partly mediated the association between self-efficacy and self-care behavior. The significant coefficient of path a (B = -0.052, p < 0.001) and path b (B = -0.423, p < 0.05) indicated negative associations of self-efficacy on depression, and depression on self-care behavior. The indirect effect (Path a × b) between self-efficacy and self-care behavior through depression was significant (B = 0.022, p < 0.05), the 95% bias-corrected bootstrap confidence interval was 0.004 to 0.006. Meanwhile, the mediating role of depression was not found significant among the participants reported 60-74 years old (B = 0.104, p < 0.001). But depression completely mediated this association among the participants reported 75-89 years old (B = 0.034, p > 0.05). The level of diabetes self-care behavior among the elderly T2DM patients in Dahu community of Anqing city was hardly optimistic. The self-efficacy focused intervention could be encouraged for community and clinicians to improve diabetes self-care behavior. Moreover, the prevalence of depression and T2DM is increasing in younger population. More work is needed to confirm these findings, especially conducting cohort studies on different populations.

The association between glucose fluctuation with sarcopenia in elderly patients with type 2 diabetes mellitus.

Growing evidence shows that sarcopenia is more prevalent in patients with type 2 diabetes mellitus (T2DM) than in the normal population. However, currently, data on the relationship between blood glucose fluctuation and sarcopenia in elderly patients with T2DM are still limited. In this study, 280 patients ≥ 60 years with T2DM were divided into sarcopenic group and non-sarcopenic group, according to the diagnostic criteria of the 2019 Asian Working Group for Sarcopenia. They wore MeiQi to acquire the indexes including time in range (TIR), time above range (TAR), time below range (TBR), mean amplitude of glycemic excursion (MAGE), coefficient of Variation (CV), blood glucose standard deviation (SD), largest amplitude of glycemic excursions (LAGE) and mean glucose (MG). The prevalence rate of sarcopenia was statistically analyzed and the different indicators of glucose fluctuation between the two groups were compared. We analyzed the indexes of glucose fluctuation and appendicular skeletal muscle mass index (ASMI), handgrip strength, the time of five times sit to stand test (FTSST) with Spearman's correlation analysis. Logistic regression was used to analyze the influence factors for sarcopenia. The prevalence of sarcopenia was 15.36%. TIR, MG and TAR were correlated with ASMI, handgrip strength, the time of FTSST. MG and TAR were risk factors for sarcopenia, while TIR was the protective factor of sarcopenia. After adjusting mixing factors, logistic regression analysis showed that TIR was an independent protective factor. The result of the Chi-square test showed that the incidence of sarcopenia in different TIR ranges was different: the proportion of patients with sarcopenia was 40.48% (TIR ≤50%), 20.41% (50%<TIR≤70%) and 8.47% (TIR >70%). TIR is associated with sarcopenia in elderly T2DM patients. Furtherly, the incidence rate of sarcopenia decreases with the increase of TIR.