Categorization using the Dementia Assessment Sheet for Community-Based Integrated Care System 8-items (DASC-8) based on cognitive function and activities of daily living predicts frailty, disability and mortality in older adults.

AIM: This longitudinal study aimed to determine whether categorization by the Dementia Assessment Sheet for Community-based Integrated Care System 8-items (DASC-8) is associated with risk of frailty onset, disability, and mortality. METHODS: We analyzed longitudinal data from outpatients aged 65 years and older evaluated for the DASC-8 at the Frailty Clinic. The outcomes during the 3-year follow-up period were (Study A) frailty onset (Kihon Checklist ≥8) and (Study B) disability (new certification of nursing care needs) or mortality. Multivariate Cox regression analyses were performed to examine independent associations between the DASC-8 category and outcomes, and hazard ratios and 95% confidence intervals (CIs) were calculated after adjustment for age, sex, and the presence or absence of diabetes, hypertension, and dyslipidemia. RESULTS: (Study A) Out of the 216 patients without frailty in Categories I or II at baseline, 40 (20.4%) and 11 (55.0%) developed frailty, respectively. The adjusted hazard ratio was 3.62 (95% CI: 1.69-7.76, P < 0.001). (Study B) Out of the 350 patients who did not require long-term care at baseline, disability or death occurred for 20 (7.3%) in Category I, 14 (23.0%) in Category II, and 9 (56.3%) in Category III. The adjusted hazard ratios were 2.40 (Category I vs. II; 95% CI: 1.13-5.11, P = 0.023) and 5.43 (Category I vs. III; 95% CI: 2.23-13.3, P < 0.001). CONCLUSION: Categorization according to DASC-8 is associated with the risk of frailty, disability, and mortality in older patients. Geriatr Gerontol Int 2024; 24: 150-155.

Developing a health economic model for Asians with type 2 diabetes based on the Japan Diabetes Complications Study and the Japanese Elderly Diabetes Intervention Trial.

INTRODUCTION: Cost-effectiveness analyses are becoming increasingly important in Japan following the introduction of a health technology assessment scheme. The study objective was to develop an economic model to evaluate the cost-effectiveness of two interventions for type 2 diabetes in a Japanese population. RESEARCH DESIGN AND METHODS: The Japan Diabetes Complications Study/Japanese Elderly Diabetes Intervention Trial risk engine (JJRE) Cost-Effectiveness Model (JJCEM) was developed, incorporating validated risk equations in Japanese patients with type 2 diabetes from the JJRE. Weibull regression models were developed for progression of the model outcomes, and a targeted literature review was performed to inform default values for utilities and costs. To illustrate outcomes, two simulated analyses were performed in younger (aged 40 years) and older (aged 80 years) Japanese populations, comparing a hypothetical treatment with placebo. RESULTS: The model considers a population based on user-defined values for 11 baseline characteristic parameters and simulates rates of diabetic complications over a defined time horizon. Costs, quality-adjusted life years, and an incremental cost-effectiveness ratio are estimated. The model provides disaggregated results for two competing interventions, allowing visualization of the key drivers of cost and utility. A scatterplot of simulations and cost-effectiveness acceptability curve are generated for each analysis. CONCLUSIONS: This is the first cost-effectiveness model for East Asian patients with type 2 diabetes, developed using Japan-specific risk equations. This population constitutes the largest share of the global population with diabetes, making this model highly relevant. The model can be used to evaluate the cost-effectiveness of anti-diabetic interventions in patients with type 2 diabetes in Japan and other East Asian populations.

Determinants and impact of physical impairment in patient-reported outcomes among older patients with type 2 diabetes mellitus in Japan.

OBJECTIVE: To investigate the predictive factors associated with physical impairment among older patients with type 2 diabetes mellitus (T2DM) in Japan and to examine the potential impact of physical impairment on patient-reported health outcomes in this population. METHODS: A cross-sectional analysis was conducted using patient-reported data from the 2012-2014 Japan National Health and Wellness Survey. Physical impairment was measured using the Physical Component Summary (PCS) score of the Short-Form 36-Item Health Survey (SF-36) three-component model (using Japanese norms). Older T2DM patients (≥65 years old; n = 1511) were dichotomized into physically impaired (PCS ≤ 25th percentile; n = 378) and non-physically impaired (PCS > 25th percentile; n = 1133). Work productivity (absenteeism, presenteeism and overall work impairment), activity impairment and healthcare resource utilization were compared between these groups. RESULTS: Age, female sex, low and high body mass index (BMI), diabetes-related complications, cardiovascular events, unawareness of having hypoglycemic events in the past 3 months, and lack of regular exercise were significant factors associated with physical impairment in multivariable analysis. The physically impaired group reported significantly more regular outpatient visits (13.48 vs. 10.16, respectively, p < .001), 1% or greater absenteeism (16.7% vs. 4.1%, p = .005), greater presenteeism (27.8% vs. 12.2%, p = .001), overall work impairment (30.0% vs. 13.0%, p = .001) and overall activity impairment (39.5% vs. 17.2%, p < .001) than the non-physically-impaired group after adjusting for covariates. CONCLUSIONS: This study identified age, BMI, diabetes-related comorbidities, history of cardiovascular events and lack of exercise as key predictors associated with physical impairment in older patients with T2DM in Japan, which predicted low work productivity as well as activity impairment. This study provides support that physical impairment in patients with T2DM may lead to low work productivity and activity impairment.Supplemental data for this article is available online at https://doi.org/10.1080/03007995.2020.1846170.

Use of Dementia Assessment Sheet for Community-based Integrated Care System 8-items (DASC-8) for the screening of frailty and components of comprehensive geriatric assessment.

AIM: We examined whether the Dementia Assessment Sheet for Community-based Integrated Care System 8-items (DASC-8) is useful for screening frailty and as a comprehensive geriatric assessment (CGA). METHODS: Outpatients (N = 431; 269 women; Mage = 78.9 ± 6.8 years) with cardiometabolic disease from a frailty clinic participated. Frailty status was assessed using modified Cardiovascular Health Study criteria, the Clinical Frailty Scale and the Kihon Checklist. Cognition, higher-level activities of daily living, sarcopenia, physical activities, depression, nutrition, medication adherence, social network and quality of life were assessed as CGA components. We examined the association of DASC-8 category with frailty or CGA components using multiple logistic regression analyses, adjusted for age and sex. RESULTS: Most participants (n = 310, 71.9%) were in Category I, 90 (20.9%) were in Category II and 31 (7.1%) were in Category III. There were no significant differences in sex, body mass index, or past medical history, except regarding age or cerebral infarction. Logistic regression analyses showed that, for all definitions of frailty, the odds ratios of frailty significantly increased as category progressed. Cognitive function, higher-level activities of daily living, handgrip strength, gait speed, physical activities, medication adherence, social network and quality of life decreased as the category increased. Although depressive tendency increased in Category II, there was no significant difference in muscle mass or prevalence of sarcopenia among the categories. Malnutrition was observed in Category III. CONCLUSIONS: DASC-8 category was associated with frailty and several CGA components in older patients with cardiometabolic disease. Geriatr Gerontol Int 2020; 20: 1157-1163.

Development of the Dementia Assessment Sheet for Community-based Integrated Care System 8-items, a short version of the Dementia Assessment Sheet for Community-based Integrated Care System 21-items, for the assessment of cognitive and daily functions.

AIM: The present study aimed to: (i) examine the reliability and validity of the Dementia Assessment Sheet for Community-based Integrated Care System 21-items for classifying patients to the appropriate categories for glycemic targets in older patients; and (ii) develop a short version of the tool and examine its reliability and validity. METHODS: A total of 410 older individuals were recruited for this multicenter cross-sectional study. We classified them into three categories used for determining the glycemic target in older patients in Japan based on cognitive functions and activities of daily living. Exploratory factor analyses were used to select the eight items of the shorter version. The reliability and validity of the assessment tools were assessed using Cronbach's alpha coefficients and receiver operating characteristic analyses, respectively. RESULTS: The Dementia Assessment Sheet for Community-based Integrated Care System 21-items had three latent factors: cognitive function, instrumental activities of daily living and basic activities of daily living. The Dementia Assessment Sheet for Community-based Integrated Care System 8-items was developed based on each factor load quantity and was confirmed to have a strong correlation with the original version (r = 0.965, P < 0.001). Both tools significantly discriminated older adults belonging to category I from those belonging to category II or III, and category III from category I or II. CONCLUSIONS: Both tools had sufficient internal consistency and validity to classify older patients into the categories for determining the glycemic target in this population based on cognitive and daily functions. Geriatr Gerontol Int 2018; 18: 1458-1462.

Detecting copy-number variations in whole-exome sequencing data using the eXome Hidden Markov Model: an 'exome-first' approach.

Whole-exome sequencing (WES) is becoming a standard tool for detecting nucleotide changes, and determining whether WES data can be used for the detection of copy-number variations (CNVs) is of interest. To date, several algorithms have been developed for such analyses, although verification is needed to establish if they fit well for the appropriate purpose, depending on the characteristics of each algorithm. Here, we performed WES CNV analysis using the eXome Hidden Markov Model (XHMM). We validated its performance using 27 rare CNVs previously identified by microarray as positive controls, finding that the detection rate was 59%, or higher (89%) with three or more targets. XHMM can be effectively used, especially for the detection of >200 kb CNVs. XHMM may be useful for deletion breakpoint detection. Next, we applied XHMM to genetically unsolved patients, demonstrating successful identification of pathogenic CNVs: 1.5-1.9-Mb deletions involving NSD1 in patients with unknown overgrowth syndrome leading to the diagnosis of Sotos syndrome, and 6.4-Mb duplication involving MECP2 in affected brothers with late-onset spasm and progressive cerebral/cerebellar atrophy confirming the clinical suspect of MECP2 duplication syndrome. The possibility of an 'exome-first' approach for clinical genetic investigation may be considered to save the cost of multiple investigations.

[Comprehensive geriatric assessment in older patients with diabetes mellitus].

Because the prevalence of older old patients with diabetes is increasing in Japan, diabetic patients with physical or cognitive impairment are also becoming to be more prevalent in clinical practice. The comprehensive geriatric assessment (CGA) consists of 5 important domains: physical function (basic ADL, instrumental ADL, vision, etc.), psychological function, mental function, socio-economic conditions, and patient's preference. The functions in CGA can be used as predictors for prognosis, a tool for early diagnosis of dementia, assessment tool of patient's capacity for insulin self-injection, and outcomes of diabetes treatment. The CGA is also useful in performing a patient-centered approach to improve the physical, psychological, and mental functions as well as to individualize a treatment goal of HbA1c in elderly patients with diabetes mellitus.

Physiological and pathological age-associated changes in diurnal rhythm of energy expenditure in rats.

Although the idea that energy metabolism of rats decreases with age has been widely accepted, few studies with regard to the diurnal rhythm of energy expenditure have been reported. Whether age alone altered the diurnal rhythm of energy expenditure was examined in Sprague-Dawley (SD) rats. The same determination was conducted in Otsuka Long Evans Tokushima Fatty (OLETF) rats to examine the effect of insulin resistance and diabetes. OLETF rats were developed as a model of non-insulin-dependent diabetes mellitus (NIDDM) with mild obesity. The characteristic features of OLETF rats are late onset of hyperglycemia at about 18 weeks of age, followed by insulin deficiency at about 65 weeks. Age-associated changes in diurnal rhythm of energy expenditure were not observed in SD rats. In OLETF rats, the diurnal rhythm of energy expenditure with two peaks was observed at 8 weeks of age, while these two peaks disappeared at 24 weeks of age (with NIDDM). Then, the pattern of diurnal rhythm at 44 weeks of age (with advanced NIDDM) was resembled to that of 62 weeks of age (with insulin deficiency). In conclusion, we clarified the changes in diurnal rhythm of energy expenditure associated with the progress of diabetes, while age alone did not alter the diurnal rhythm.

[Comprehensive geriatric assessment and treatment of elderly diabetic patients].

Because of diversities of physical, mental, and psychological functions as well as clinical and social backgrounds, comprehensive geriatric assessment (CGA) is of great importance in treating elderly diabetic patients. We addressed three issues as to functions important for the CGA. First, we assessed several domains of cognitive function in 213 elderly diabetic patients. Attention and visual memory in diabetic patients without vascular disease were impaired compared with non-diabetic controls after adjusting for age and sex using analysis of covariance. Multivariate analysis revealed that age, hyperglycemia, and the presence of cerebral infarction were independent determinants for the impairment of attention in the diabetic patients. The results suggest that glucose control is important for the maintenance of cognitive function in elderly diabetic patients. Secondly, we assessed positive well-being as a measure of psychological function using a PGC morale scale in 197 elderly diabetic patients without cerebrovascular disease at baseline and examined whether the low well-being affect the development of cerebrovascular disease in a 3-year longitudinal study. The results indicate that low well-being was an independent risk factor for cerebrovascular disease after adjusting conventional risk factors in elderly diabetic patients. Thirdly, as a physical function, we assessed 5-m walking speed for both usual and maximum walking in 64 diabetic patients. The walking speed decreased with age and correlated significantly with the knee extension power and functional reach. The result suggests that muscle-strength exercise and balance training as well as endurance exercises are necessary to improve age-related decreases in walking speed and for effective exercise in elderly patients. From a gerontological point of view, new strategies of elderly diabetes treatment including muscle strength exercise and psychological approaches should be established to improve physical, mental, psychological, and social functions as assessed by the CGA.