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Aim: To examine cross‐sectional associations between continuous glucose monitoring (CGM)‐derived metrics and cerebral small vessel disease (SVD) in older adults with type 2 diabetes. Materials and Methods: In total, 80 patients with type 2 diabetes aged ≥70 years were analysed. Participants underwent CGM for 14 days. From the CGM data, we derived mean sensor glucose, percentage glucose coefficient of variation, mean amplitude of glucose excursion, time in range (TIR, 70‐180 mg/dl), time above range (TAR) and time below range metrics, glycaemia risk index and high/low blood glucose index. The presence of cerebral SVD, including lacunes, microbleeds, enlarged perivascular spaces and white matter hyperintensities, was assessed, and the total number of these findings comprised the total cerebral SVD score (0‐4). Ordinal logistic regression analyses were performed to examine the association of CGM‐derived metrics with the total SVD score. Results: The median SVD score was 1 (interquartile range 0‐2). Higher hyperglycaemic metrics, including mean sensor glucose, TAR >180 mg/dl, TAR >250 mg/dl, and high blood glucose index and glycaemia risk index, were associated with a higher total SVD score. In contrast, a higher TIR (per 10% increase) was associated with a lower total SVD score (odds ratio 0.73, 95% confidence interval 0.56‐0.95). Glycated haemoglobin, percentage glucose coefficient of variation, mean amplitude of glucose excursions, time below range and low blood glucose index were not associated with total cerebral SVD scores. Conclusions: The hyperglycaemia metrics and TIR, derived from CGM, were associated with cerebral SVD in older adults with type 2 diabetes. [ABSTRACT FROM AUTHOR]

Objectives: We conducted a text mining analysis of 40 years of literature on cardiac aging from PubMed to investigate the current understanding on cardiac aging and its mechanisms. This study aimed to embody what most researchers consider cardiac aging to be. Methods: We used multiple text mining and machine learning tools to extract important information from a large amount of text. Results: Analysis revealed that the terms most frequently associated with cardiac aging include "diastolic," "hypertrophy," "fibrosis," "apoptosis," "mitochondrial," "oxidative," and "autophagy." These terms suggest that cardiac aging is characterized by mitochondrial dysfunction, oxidative stress, and impairment of autophagy, especially mitophagy. We also revealed an increase in the frequency of occurrence of "autophagy" in recent years, suggesting that research on autophagy has made a breakthrough in the field of cardiac aging. Additionally, the frequency of occurrence of "mitophagy" has increased significantly since 2019, suggesting that mitophagy is an important factor in cardiac aging. Conclusions: Cardiac aging is a complex process that involves mitochondrial dysfunction, oxidative stress, and impairment of autophagy, especially mitophagy. Further research is warranted to elucidate the mechanisms of cardiac aging and develop strategies to mitigate its detrimental effects. [ABSTRACT FROM AUTHOR]

Key Clinical Message: Although atrial fibrillation is a prevalent condition, it is crucial to recognize that it can be effectively addressed by identifying the underlying disease and not merely assuming that it is caused by aging. [ABSTRACT FROM AUTHOR]

This article presents the findings of a study that examined the relationship between continuous glucose monitoring (CGM) metrics and cognitive decline in older adults with type 2 diabetes. The study found that higher mean sensor glucose (SG) and time above range (TAR) were associated with a decrease in cognitive function over a one-year period. On the other hand, a higher time in range (TIR) was associated with a lower risk of cognitive decline. These results suggest that maintaining glucose levels within the target range may be important for preventing cognitive decline in older adults with type 2 diabetes. However, more research is needed to confirm these findings. [Extracted from the article]

Aim: Although the glycemic target in older diabetes patients is based on cognition, activities of daily living and multimorbidity in the Japanese guideline, evidence of the relationships is limited. Thus, we aimed to assess the relationship between functional category and mortality in older people with diabetes. Methods: We evaluated the data of 843 older diabetes patients in a 6‐year prospective study, and the association between functional categories and all‐cause mortality. The patients were divided into three functional categories based on cognition, instrumental activities of daily living and basic activities of daily living using the Mini‐Mental State Examination, Tokyo Metropolitan Institute of Gerontology Index of Competence and Barthel Index at baseline, respectively (model 1). Those with multimorbidity (≥4 of 8 morbidities) were classified into category III (model 2). The functional category assessed using eight items from the Tokyo Metropolitan Institute of Gerontology Index of Competence and Barthel Index was also constructed (model 3). Hazard ratios and 95% confidence intervals were calculated in the Cox regression analysis using age, sex, body mass index, glycated hemoglobin level, total cholesterol level, estimated glomerular filtration rate and frequency of severe hypoglycemia as covariates. Results: During the 6‐year follow up, 64 incident mortalities occurred. The hazard ratios for mortality in categories II and III (as the reference of category I) were 1.83 (95% confidence interval 1.06–3.14, P = 0.030) and 3.05 (95% confidence interval 1.12–8.26, P = 0.029) after adjustment for covariates, respectively (model 1). Models 2 and 3 showed similar associations between functional category and mortality. Conclusions: The functional categories predicted all‐cause mortality in older adults with diabetes. Geriatr Gerontol Int 2021; 21: 512–518. [ABSTRACT FROM AUTHOR]

Aim: Selecting optimal energy intake during diet therapy for older patients with diabetes mellitus is difficult because of the large differences in physical function and comorbid diseases. In Japan, although requirements for total energy intake are calculated by multiplying a person's standard bodyweight (BW) by the amount of physical activity, evidence supporting the application of this method among older people is limited. Therefore, we aimed to assess optimal energy intake by evaluating the relationship between energy intake and mortality in older patients. Methods: We evaluated data from a 6‐year prospective follow up of 756 older patients with diabetes mellitus, and the association between baseline nutrient intake and mortality. Total energy intake and nutrients were evaluated, and energy intake per actual BW was categorized into quartiles (Q). Cox regression analysis was used for statistical analyses. Energy intake per standard BW or age‐related target BW was statistically analyzed using the same protocol. Results: Analysis of energy intake per actual BW showed that hazard ratios for mortality was significantly higher in Q1 and Q4. Similar associations were found for energy intake per standard or target BW. Subgroup analysis showed that mortality rate was the lowest in Q2 in the young‐old population and in Q3 in the old‐old population. Conclusions: A U‐shaped relationship was observed between energy intake per BW and mortality in older patients with diabetes mellitus, which suggests that the optimal energy intake per actual or target BW should encompass a wide range to prevent malnutrition and excessive nutrition in these patients. Geriatr Gerontol Int 2020; 20: 59–65. [ABSTRACT FROM AUTHOR]