The impact of cognitive impairment in dementia on self-care domains in diabetes: A systematic search and narrative review

A scoping review of factors associated with self-management in young adults with stroke

PURPOSE

To synthesize the available evidence on factors associated with self-management behavior in young stroke patients.

METHODS

The methodological guidelines for scoping reviews developed by the Joanna Briggs Institute and the PRISMA-scR-checklist for scoping reviews were used. A total of 5586 studies were identified through bibliographic searches of the scientific databases Medline (OVID), Embase (OVID), CINAHL (EBSCO), and PsycINFO, limited to the period 2000-2023. Studies were independently assessed for inclusion and exclusion criteria by two reviewers. Quantitative observational data and qualitative studies were extracted, mapped, and summarized to provide a descriptive summary of trends and considerations for future research.

RESULTS

Nine papers were finally selected to answer the research question. Young patients' self-management was mainly influenced by demographic factors (age, gender, income, education, and stroke knowledge), disease-related factors (functionality and independence, duration of stroke diagnosis, cognitive function, and poststroke fatigue), and psychosocial factors (hardiness, spiritual self-care, self-efficacy, and social support).

CONCLUSION

Further research is needed to determine the trajectory of poststroke self-management over time and its potential predictors, which should lead to the development of specific stroke rehabilitation and stroke self-management support programs for young people (considering factors that influence return to work in young stroke patients' self-management).

PRACTICE IMPLICATIONS

Healthcare providers can design more efficient interventions to improve the quality of life of young stroke patients after discharge. Gaining an in-depth understanding of the factors that influence self-management can help achieve this.

Association between low cognitive performance and diabetes-related health indicators across racial and ethnic groups in adults with diabetes

AIM

To examine the associations between low cognitive performance (LCP) and diabetes-related health indicators (including body mass index [BMI], HbA1c, systolic blood pressure [SBP], low-density lipoprotein [LDL] and self-reported poor physical health) and whether these associations vary across racial/ethnic subgroups.

METHODS

We identified adults aged 60 years or older with self-reported diabetes from the 2011-2014 National Health and Nutrition Examination Survey. Individuals with cognitive test scores in the lowest quartile were defined as having LCP. We used regression models to measure the associations of LCP with diabetes-related biometrics (BMI, HbA1c, SBP and LDL); and self-reported poor physical health. Moreover, we explored potential variations in these associations across racial/ethnic subgroups.

RESULTS

Of 873 (261 with LCP) adults with diabetes, LCP was associated with higher HbA1c, SBP and LDL (adjusted difference: 0.41%, 5.01 mmHg and 5.08 mg/dL, respectively; P < .05), and greater odds of reporting poor physical health (adjusted odds ratio: 1.59, P < .05). The association between LCP and HbA1c was consistent across racial/ethnic groups, and notably pronounced in Hispanic and Other. BMI worsened with LCP, except for non-Hispanic Black. Excluding the Other group, elevated SBP was observed in people with LCP, with Hispanic showing the most significant association. LDL levels were elevated with LCP for Hispanic and Other. Physical health worsened with LCP for both non-Hispanic Black and Hispanic.

CONCLUSIONS

We quantified the association between LCP and diabetes-related health indicators. These associations were more pronounced in Hispanic and Other racial/ethnic groups.

Population incidence and associated mortality of urinary tract infection in people living with dementia

OBJECTIVES

Urinary tract infections (UTIs) frequently cause hospitalisation and death in people living with dementia (PLWD). We examine UTI incidence and associated mortality among PLWD relative to matched controls and people with diabetes and investigate whether delayed or withheld treatment further impacts mortality.

METHODS

Data were extracted for n = 2,449,814 people aged ≥ 50 in Wales from 2000-2021, with groups matched by age, sex, and multimorbidity. Poisson regression was used to estimate incidences of UTI and mortality. Cox regression was used to study the effects of treatment timing.

RESULTS

UTIs in dementia (HR=2.18, 95 %CI [1.88-2.53], p < .0) and diabetes (1.21[1.01-1.45], p = .035) were associated with high mortality, with the highest risk in individuals with diabetes and dementia (both) (2.83[2.40-3.34], p < .0) compared to matched individuals with neither dementia nor diabetes. 5.4 % of untreated PLWD died within 60 days of GP diagnosis-increasing to 5.9 % in PLWD with diabetes.

CONCLUSIONS

Incidences of UTI and associated mortality are high in PLWD, especially in those with diabetes and dementia. Delayed treatment for UTI is further associated with high mortality.

Predictive model for identifying mild cognitive impairment in patients with type 2 diabetes mellitus: A CHAID decision tree analysis

BACKGROUND

As the population ages, mild cognitive impairment (MCI) and type 2 diabetes mellitus (T2DM) become common conditions that often coexist. Evidence has shown that MCI could lead to reduced treatment compliance, medication management, and self-care ability in T2DM patients. Therefore, early identification of those with increased risk of MCI is crucial from a preventive perspective. Given the growing utilization of decision trees in prediction of health-related outcomes, this study aimed to identify MCI in T2DM patients using the decision tree approach.

METHODS

This hospital-based case-control study was performed in the Endocrinology Department of Xiangya Hospital affiliated to Central South University between March 2021 and December 2022. MCI was defined based on the Petersen criteria. Demographic characteristics, lifestyle factors, and T2DM-related information were collected. The study sample was randomly divided into the training and validation sets in a 7:3 ratio. Univariate and multivariate analyses were performed, and a decision tree model was established using the chi-square automatic interaction detection (CHAID) algorithm to identify key predictor variables associated with MCI. The area under the curve (AUC) value was used to evaluate the performance of the established decision tree model, and the performance of multivariate regression model was also evaluated for comparison.

RESULTS

A total of 1001 participants (705 in the training set and 296 in the validation set) were included in this study. The mean age of participants in the training and validation sets was 60.2  ±  10.3 and 60.4  ±  9.5 years, respectively. There were no significant differences in the characteristics between the training and validation sets (p > .05). The CHAID decision tree analysis identified six key predictor variables associated with MCI, including age, educational level, household income, regular physical activity, diabetic nephropathy, and diabetic retinopathy. The established decision tree model had 15 nodes composed of 4 layers, and age is the most significant predictor variable. It performed well (AUC = .75 [95% confidence interval (CI): .71-.78] and .67 [95% CI: .61-.74] in the training and validation sets, respectively), was internally validated, and had comparable predictive value compared to the multivariate logistic regression model (AUC = .76 [95% CI: .72-.80] and .69 [95% CI: .62-.75] in the training and validation sets, respectively).

CONCLUSION

The established decision tree model based on age, educational level, household income, regular physical activity, diabetic nephropathy, and diabetic retinopathy performed well with comparable predictive value compared to the multivariate logistic regression model and was internally validated. Due to its superior classification accuracy and simple presentation as well as interpretation of collected data, the decision tree model is more recommended for the prediction of MCI in T2DM patients in clinical practice.

Associations between complexity of glucose time series and cognitive function in adults with type 2 diabetes

AIMS

To characterize the comparative contributions of different glycaemic indicators to cognitive dysfunction, and further investigate the associations between the most significant indicator and cognitive function, along with related cerebral alterations.

MATERIALS AND METHODS

We performed a cross-sectional study in 449 subjects with type 2 diabetes who completed continuous glucose monitoring and cognitive assessments. Of these, 139 underwent functional magnetic resonance imaging to evaluate cerebral structure and olfactory neural circuit alterations. Relative weight and Sobol's sensitivity analyses were employed to characterize the comparative contributions of different glycaemic indicators to cognitive dysfunction.

RESULTS

Complexity of glucose time series index (CGI) was found to have a more pronounced association with mild cognitive impairment (MCI) compared to glycated haemoglobin, time in range, and standard deviation. The proportion and multivariable-adjusted odds ratios (ORs) for MCI increased with descending CGI tertile (Tertile 1: reference group [≥4.0]; Tertile 2 [3.6-4.0] OR 1.23, 95% confidence interval [CI] 0.68-2.24; Tertile 3 [<3.6] OR 2.27, 95% CI 1.29-4.00). Decreased CGI was associated with cognitive decline in executive function and attention. Furthermore, individuals with decreased CGI displayed reduced olfactory activation in the left orbitofrontal cortex (OFC) and disrupted functional connectivity between the left OFC and right posterior cingulate gyrus. Mediation analysis demonstrated that the left OFC activation partially mediated the associations between CGI and executive function.

CONCLUSION

Decreased glucose complexity closely relates to cognitive dysfunction and olfactory brain activation abnormalities in diabetes.

Home blood pressure measurement consistency and cognitive impairment

Cognitive function tends to decline with age, and individuals with mild cognitive impairment (MCI) often have difficulty completing established self-management tasks. The aim of this study was to investigate the association between the number of days within a 5-and-a-half-day period that patients took their home blood pressure (BP) as instructed and MCI assessed by the Japanese version of the Montreal Cognitive Assessment (MoCA-J) in an elderly clinical population. We analyzed 303 ambulatory patients (mean age 77.3 ± 8.2 years) in whom MoCA-J had been assessed, who were instructed to take home BP for 1 evening and twice a day for the next five days, and who had at least one morning home BP measurement. After accounting for patient characteristics including age, sex, body mass index, drinking, smoking, prevalent cardiovascular disease, morning systolic BP and diastolic BP, and the use of antihypertensive drugs, the number of days home BP was measured was independently associated with both total MoCA-J score (estimate, 0.82; 95% confidence interval [CI], 0.43-1.21; P < 0.001) and the lowest quartile of MoCA-J score (13 or below) (odds ratio [OR], 0.72; 95%CI, 0.59-0.87; P = 0.001). Home BP measurement noncompliance (<5 days' measurement) was also independently associated with the total MoCA-J score (estimate, -2.56; 95%CI, -4.09 to -1.03; P = 0.001) and the lowest quartile of MoCA-J score (OR, 3.32; 95%CI, 1.59-6.96; P = 0.001). In conclusion, poor compliance with home BP monitoring was associated with cognitive impairment in elderly cases who had been specifically instructed to perform home BP monitoring during a designated period.

Association of cardiometabolic multimorbidity and adherence to a healthy lifestyle with incident dementia: a large prospective cohort study

BACKGROUND

The co-occurrence of cardiometabolic diseases (CMDs) is increasingly prevalent and has been associated with an additive risk of dementia in older adults, but the extent to which this risk can be offset by a healthy lifestyle is unknown. We aimed to examine the associations of cardiometabolic multimorbidity and lifestyle with incident dementia and related brain structural changes.

METHODS

This prospective study extracted health and lifestyle data from 171 538 UK Biobank participants aged 60 years or older without dementia at baseline between 2006 and 2010 and followed up until July 2021, as well as brain structural data in a nested imaging subsample of 11 972 participants. Cardiometabolic multimorbidity was defined as the presence of two or more CMDs among type 2 diabetes, coronary heart disease, stroke, and hypertension. Lifestyle patterns were determined based on 7 modifiable lifestyle factors including smoking, alcohol consumption, physical activity, diet, sleep duration, sedentary behavior, and social contact.

RESULTS

Over a median follow-up of 12.3 years, 4479 (2.6%) participants developed dementia. The presence of CMDs was dose-dependently associated with an increased risk of dementia. Compared with participants with no CMDs and a favourable lifestyle, those with ≥ 3 CMDs and an unfavourable lifestyle had a five times greater risk of developing dementia (HR 5.33, 95% CI 4.26-6.66). A significant interaction was found between CMD status and lifestyle (Pinteraction=0.001). The absolute difference in incidence rates of dementia per 1000 person years comparing favourable versus unfavourable lifestyle was - 0.65 (95% CI - 1.02 to - 0.27) among participants with no CMDs and - 5.64 (- 8.11 to - 3.17) among participants with ≥ 3 CMDs, corresponding to a HR of 0.71 (0.58-0.88) and 0.42 (0.28-0.63), respectively. In the imaging subsample, a favourable lifestyle was associated with larger total brain, grey matter, and hippocampus volumes across CMD status.

CONCLUSION

Our findings suggest that adherence to a healthy lifestyle might substantially attenuate dementia risk and adverse brain structural changes associated with cardiometabolic multimorbidity.

The impact of neuropsychological functions on self-care/self-management of type 2 diabetes in middle-aged people: a scoping review and meta-analysis

INTRODUCTION

This study aimed to investigate the impact of neuropsychological functions on self-care/self-management in middle-aged individuals with type 2 diabetes (T2DM).

AREAS COVERED

A comprehensive literature search was conducted from January 2012 to April 2023 across multiple databases. Ten articles were included in the scoping review, and 3 articles were included in the meta-analysis. The findings consistently indicated an association between reduced neuropsychological functions and poor self-care/self-management in this population. Memory functions, executive functions, and other domains were found to be significantly related to self-care/self-management, including diet management, exercise, blood glucose monitoring, and foot care.

EXPERT OPINION

This study highlights the importance of considering neuropsychological factors in understanding and improving diabetes management outcomes. The findings underscore the need for comprehensive neuropsychological assessments and the development of targeted interventions to address specific vulnerable domains. Future research should focus on elucidating underlying mechanisms, addressing methodological inconsistencies, and exploring the effectiveness of interventions targeting neuropsychological impairments. Incorporating technology and personalized approaches into diabetes management can enhance self-care/self-management and clinical outcomes in individuals with T2DM.

How to manage comorbidities in people with dementia: A scoping review

BACKGROUND

People with dementia experience a high prevalence of comorbidities that seriously affect patient outcomes. The aim of this study was to map the evidence and components related to comorbidity management, including interventions to facilitate and support the practice of management.

METHODS

A scoping review was conducted. In June 2022, PubMed, Web of Science, Embase, Cumulative Index to Nursing and Allied Health Literature (CINAHL), The National Institute of Health and Care Excellence (NICE), Open grey, and the Cochrane Library were searched to identify relevant literature. The inclusion criteria were outlined to identify studies on comorbidity management in people with dementia.

RESULTS

We found 43 items that met the inclusion criteria. The majority of the studies were published since 2010. Most research focused on medication management, health care service use and provision, and comorbidity-related monitoring and management; there were a small number of studies that involved decision-making. Only 6 studies developed interventions to support dementia care, which included comorbidity management. Studies involving the comorbidity management process were mainly based on qualitative methods, which make it difficult to quantify the impact of these processes on comorbidity management.

CONCLUSIONS

Given the serious impact of dementia on managing comorbidities, there is a need to develop systematic interventions targeting the management of comorbidities.

Relationship Between Physical Exercise and Cognitive Impairment Among Older Adults with Type 2 Diabetes: Chain Mediating Roles of Sleep Quality and Depression

Objective

Although physical exercise has been shown to boost physical, psychological, and psychiatric conditions in older adults, there is a relative lack of research on the mechanisms involved in this process for older adults with type 2 diabetes mellitus (T2DM). We thus evaluated whether sleep quality and depression mediated the relationship between physical exercise and cognitive impairment in older adults with T2DM by focusing on the exercise-physiology-psychology and psychiatry connection.

Methods

Self-reported data were collected from 2646 older adults with T2DM in Weifang, Shandong, China. Regression and bootstrap analyses were conducted to explore the chain mediator model including physical exercise, cognitive impairment, sleep quality, and depression.

Results

Engaging in physical exercise (coefficient = -0.6858, p < 0.001), high levels of sleep quality (coefficient = -0.3397, p = 0.015), and low levels of depression (coefficient = 0.3866, p < 0.001) were significantly associated with a low level of cognitive impairment. Sleep quality and depression mediated the chain effect between physical exercise and cognitive impairment (total effect = -1.0732, 95% CI [-1.3652, -0.7862]; direct effect = -0.6858, 95% CI [-0.9702, -0.3974]; indirect effect = -0.3875, 95% CI [-0.5369, -0.2521]).

Conclusion

Physical exercise may improve sleep quality in older adults with T2DM, alleviating depression and delaying the development of cognitive impairment. Physical exercise can enhance patients' ability to resist depression and cognitive impairment, and creating comfortable sleep environments can also reinforce the effects of this process. These findings have important implications for promoting healthy aging in older adults with T2DM.

Diabetes Patients' Acceptance of Injectable Treatment, a Scientometric Analysis

Diabetes is a condition associated with multiple systemic secondary risk factors, besides pancreatic dysfunctions, affecting the population worldwide and with high costs impacting the healthcare systems. This paper aims to identify the major issues in patients' adherence to injectable diabetes treatment. After the interrogation of the Web of Science database, a scientometric map was generated, from which six directions of approach were identified as essential factors influencing the patient's adherence. These directions yielded clusters of related articles. Glycemic control with the endocrinology metabolic implications, lifestyle adjustments, the healthcare services, medication therapy algorithm, healthcare services digitalization and healthcare policies seem to have a major impact on injectable diabetes therapy and patient adherence. Further research on every one of the six directions is needed to identify the potential of increasing injectable treatment adherence in diabetes patients.

Self-management preferences in patients with mild cognitive impairment: A qualitative study

Purpose

Patients with mild cognitive impairment (MCI) require self-management, yet current self-management compliance is low. Taking patients’ preferences into account can improve the self-management situation. The purpose of this study is to look into MCI patients’ preferences for self-management in China.

Methods

A qualitative research was conducted using semi-structured in-depth interviews with 21 patients recently diagnosed with MCI who were chosen by purposive sampling. These interviews were analyzed through thematic analysis and identified emerging themes.

Results

Five themes of self-management preference were identified: (1) Preference for acquiring disease knowledge; (2) Preference for participating in drug therapy; (3) Preference for participating in exercise; (4) Preference for applying memory compensation strategy; (5) Preferences for emotional expression and response.

Conclusion

Our study identified the specific preferences of MCI patients in China for the main self-management items. The findings are valuable insights for knowing MCI patients’ self-management content and preferences and provide better guidance for health practitioners to improve self-management compliance.

The Impact of Dementia on Diabetes Control: An Evaluation of HbA1c Trajectories and Care Outcomes in Linked Primary and Specialist Care Data

OBJECTIVES

Diabetes self-care may become increasingly challenging as cognition declines. We sought to characterize glycated hemoglobin A1c (HbA1c) trajectories, markers of diabetes-related management, health care utilization, and mortality in people with preexisting type 2 diabetes (T2D) with and without dementia and based on the extent of cognitive impairment at the time of dementia diagnosis.

DESIGN

Retrospective matched cohort study.

SETTING AND PARTICIPANTS

Using a linkage between a primary care (Lambeth DataNet) and a secondary mental healthcare database, up to 5 individuals aged ≥65 y with preexisting T2D without dementia were matched to each individual with dementia based on age, sex, and general practice.

METHODS

Comparisons were made for HbA1c trajectories (linear mixed effects models), markers of diabetes-related management and severity at dementia diagnosis (logistic regression), mortality (Cox regression), and health care utilization (multilevel mixed effects binomial regression).

RESULTS

In 725 incident dementia and 3154 matched comparators, HbA1c trajectories differed by dementia status; HbA1c increased over time for mild dementia and non-dementia, but the increase was greater in the mild dementia group; for those with moderate-severe dementia, HbA1c decreased over time. Despite individuals with dementia having increased health care utilization around the time of dementia diagnosis, they were less likely to have had routine diabetes-related management. Patients with dementia had a higher prevalence of macrovascular complications and diabetes foot morbidity at dementia diagnosis and a higher mortality risk than those without dementia; these relationships were most marked in those with moderate-severe dementia.

CONCLUSIONS AND IMPLICATIONS

Our study has highlighted important differences in the monitoring, management, and control of diabetes in people with dementia. The effects of frailty and the extent of cognitive impairment on the ability to self-manage diabetes and on glycemic control may need to be considered in treatment guidelines and by primary care.

Predicting Hospice Transitions in Dementia Caregiving Dyads: An Exploratory Machine Learning Approach

Background and Objectives

Hospice programs assist people with serious illness and their caregivers with aging in place, avoiding unnecessary hospitalizations, and remaining at home through the end-of-life. While evidence is emerging of the myriad of factors influencing end-of-life care transitions among persons living with dementia, current research is primarily cross- sectional and does not account for the effect that changes over time have on hospice care uptake, access, and equity within dyads.

Research Design and Methods

Secondary data analysis linking the National Health and Aging Trends Study to the National Study of Caregiving investigating important social determinants of health and quality-of-life factors of persons living with dementia and their primary caregivers (n = 117) on hospice utilization over 3 years (2015-2018). We employ cutting-edge machine learning approaches (correlation matrix analysis, principal component analysis, random forest [RF], and information gain ratio [IGR]).

Results

IGR indicators of hospice use include persons living with dementia having diabetes, a regular physician, a good memory rating, not relying on food stamps, not having chewing or swallowing problems, and whether health prevents them from enjoying life (accuracy = 0.685; sensitivity = 0.824; specificity = 0.537; area under the curve (AUC) = 0.743). RF indicates primary caregivers' age, and the person living with dementia's income, census division, number of days help provided by caregiver per month, and whether health prevents them from enjoying life predicts hospice use (accuracy = 0.624; sensitivity = 0.713; specificity = 0.557; AUC = 0.703).

Discussion and Implications

Our exploratory models create a starting point for the future development of precision health approaches that may be integrated into learning health systems that prompt providers with actionable information about who may benefit from discussions around serious illness goals-for-care. Future work is necessary to investigate those not considered in this study-that is, persons living with dementia who do not use hospice care so additional insights can be gathered around barriers to care.

New Horizons-Cognitive Dysfunction Associated With Type 2 Diabetes

The prevalence of type 2 diabetes (T2D) and cognitive dysfunction increases with age. As society ages, clinicians will be increasingly tasked with managing older people who have both T2D and cognitive dysfunction. T2D is associated with an increased risk of cognitive dysfunction and hence there is increasing interest in whether T2D is a causal factor in the pathogenesis of cognitive decline and dementia. Recent advances in the use of sensitive measures of in vivo brain dysfunction in life-course studies can help understand potential mechanistic pathways and also help guide recommendations for clinical practice. In this article we will describe new horizons in the understanding of cognitive dysfunction associated with T2D. Coming from a clinical perspective, we discuss potential mechanisms and pathways linking the 2 conditions and the contribution of multimodal neuroimaging and study designs to advancing understanding in the field. We also highlight the important issues on the horizon that will need addressing in clinical identification, management, and risk reduction for people with coexistent T2D and cognitive dysfunction.

Perception of benefits and barriers associated with dementia prevention behaviors among people with diabetes

Type 2 diabetes mellitus is a risk factor for developing dementia and a public health concern around the world. Identifying any predictive factors associated with diabetes-related dementia prevention behaviors are of value in helping to prevent dementia. From six community hospitals in Chiang Mai, Thailand, 182 people aged 30-60 years were enrolled in a cross-sectional study and completed a written questionnaire on dementia prevention behaviors and perceptions of health beliefs. Multiple linear regression analysis was applied to determine possible associations between dementia prevention behaviors and health belief perceptions. A high level of preventive behavior was associated with high perceptions of the benefits of, and barriers to, dementia prevention and longer duration of patients' diabetes. Findings indicate the predictive role of the two factors in the perception of health beliefs about dementia prevention behaviors among the participants. Although further testing with different samples and in different locations is warranted, education programs for health practitioners that integrate the findings of this study would be beneficial to improvement of dementia prevention behaviors in people with diabetes.

Synergistic impact of diabetes and cognitive impairment on all-cause and cause-specific mortality in Chinese older adults: A prospective population-based cohort study

BACKGROUND

Diabetes mellitus (DM) or cognitive impairment (CI) is known to be strongly associated with mortality. DM commonly coexists with CI and proportionally increases with age. However, little is known about the combined effect of cognitive function and diabetes on mortality. This study aimed to evaluate the combined effects of DM and CI on all-cause and cause-specific mortality in Chinese older adults.

METHODS

This prospective population-based cohort study was based on the Beijing Elderly Comprehensive Health Cohort Study. A total of 4,499 older adults were included. Cox's proportional hazard models were utilized to calculate the effect of DM and CI on all-cause, cardiovascular disease (CVD) mortality and cancer mortality, and a multiplicative term was introduced to study a potential interaction between DM and CI on outcomes.

RESULTS

During a median follow-up of 6.8 years (ranging from 6.6 to 11.7 years), 667 (14.8%) participants died from all causes, 292 from CVD, and 215 from cancer. In the fully adjusted model, participants with coexisting DM and CI had the highest risk of all-cause mortality [hazard ratios (HRs), 3.08; 95% confidence intervals (CIs), 2.30,4.11] and CVD mortality (HRs, 3.85; 95% CIs, 2.60,5.71) compared with individuals with normal cognition and non-DM. We also found a multiplicative interaction between DM and CI in respect to all-cause (HRs, 2.46; 95% CI, 1.87,3.22) and CVD mortality (HRs, 3.15 95% CI, 2.19,4.55). In the diabetic population, CI was associated with an increased risk of all-cause mortality (HRs, 2.09; 95% CIs, 1.51,2.89) and CVD mortality (HRs, 3.16; 95% CIs, 2.02,5.05) compared with the normal cognition group. Restricted cubic spline revealed a linear inverse association between Mini-Mental State Examination (MMSE) score and all-cause, CVD mortality in the total sample and participants without diabetes. However, a nearly reverse J association was observed between MMSE and mortality from all causes and CVD in the diabetes group.

CONCLUSION

The findings highlighted that cognitive impairment concomitant with diabetes further increases the risk of mortality. In addition to strengthening routine screening of cognitive functioning in older adults with early-stage diabetes, more extensive assessment of prognostic risks has high clinical value for developing comprehensive treatment plans.

Diabetes-Specific Dementia: A Structured Literature Review of Cognitive Assessment Methods

Diabetes mellitus is a known risk factor for the development of multiple subtypes of dementia and mild cognitive impairment. Recent research identifies a cause-specific diabetes-related dementia with a unique set of characteristics. Currently, there is no standard cognitive assessment battery recommended to specifically assess dementia that is a direct consequence of chronic diabetes, and some evaluations have been used for decades with minimal revisions, regardless of appropriateness. We performed a systematic review of the dementia/cognition evaluation methods most commonly used in the literature for assessing diabetic patients and identified which cognitive domains are typically assessed in this setting, and whether cognitive changes were more reflective of a vascular pathology, Alzheimer's pathology, or something else entirely. Search results yielded 1089 articles. After screening for appropriateness, a total of 11 full-text articles were assessed. In general, subjects in the reviewed studies were assessed using a variety of testing methods, examining different combinations of cognitive domains. A standard, clear definition of which cognitive domains are the most important to assess in diabetic patients is needed in order to determine what combination of assessment tools are most pertinent. Given the growing subset of the US population, careful reconsideration of cognitive assessment methods is needed to create self-care plans that take into account a specific collection of cognitive challenges for those with diabetes.

Type 2 diabetes management in people aged over seventy-five years: targets and treatment strategies

Older people (those aged 65 years or more) with diabetes comprise a heterogenous group of patients with special needs and features; this is particularly true for those aged 75 years or more. It is important that individualized glycemic targets be adopted in this population, after considering life expectancy, presence of diabetic complications and other comorbidities. In general, less rigorous targets and avoidance of overtreatment seems to be a reasonable strategy in daily clinical settings. There is a paucity of data regarding the efficacy and safety of various hypoglycemic agents, especially for those aged over 75. The evidence suggests that sulfonylureas and insulin regimens should be used with caution due to a high risk of hypoglycemia. Dipeptidyl peptidase-4 inhibitors are a good choice for the management of diabetes in older age groups, although a warning against the use of specific agents in people with heart failure is valid. There are insufficient data to decide whether the cardiorenal protective properties of sodium-glucose co-transporter 2 inhibitors outweigh the risks associated with these drugs. The use of glucagon-like peptide-1 receptor agonists by older patients is supported not only by their good safety and efficacy profiles, but also by their potential to improve glucose-independent outcomes, through their pleiotropic actions. The aim of this narrative review is to summarize the evidence on glycemic targets and optimal therapeutic approaches for older patients with type 2 diabetes and discuss the risk-benefit balance of various therapeutic approaches in this group.

Type 2 diabetes and cognitive dysfunction-towards effective management of both comorbidities

Type 2 diabetes and cognitive dysfunction are highly prevalent disorders worldwide. Although type 2 diabetes is associated with an increased risk of dementia, awareness of the link between the two conditions is poor, and few recommendations are available to guide clinicians about how to approach cognitive dysfunction in people with diabetes. Clinical guidelines in diabetes have only recently begun to emphasise the importance of cognitive impairment in diabetes and its management. This Series paper aims to synthesise knowledge about the link between diabetes and cognitive dysfunction, issues pertaining to screening and diagnosis of cognitive impairment and dementia in those with type 2 diabetes, management of diabetes in people with cognitive dysfunction (accounting for age and frailty), and emerging therapies for prevention. A conceptual framework for approaching screening and diagnosis is included, and future research directions to guide the field forward are suggested.

An Agenda for Addressing Multimorbidity and Racial and Ethnic Disparities in Alzheimer's Disease and Related Dementia

Advancements in Alzheimer's disease and related dementias (ADRD) research on the U.S. population acknowledge the importance of the high burden of ADRD on segments of the population and yet-to-be characterized risks attributable to the burden of multiple chronic diseases (multimorbidity). These realizations suggest successful strategies in caring for people with ADRD and their caregivers will rely not only on clinical treatments but also on more refined and comprehensive models of ADRD that take its broad effects on the whole-person and the whole of society into consideration. To this end, it is critical to characterize and address the relationship between ADRD and multimorbidity combinations that complicate care and lead to poor outcomes, particularly with regard to racial and ethnic disparities in the occurrence, course, and effects of ADRD. Several research and policy recommendations are presented to address the intersection of ADRD, multimorbidity, and underrepresented populations most at risk for adverse outcomes.

Supporting self-care of long-term conditions in people with dementia: A systematic review

BACKGROUND

Long-term conditions are common in people living with dementia; their self-management is an important determinant of wellbeing. Family carers often support or substitute self-care activities, and act as proxies for self-management, as dementia progresses.

OBJECTIVES

To conduct the first systematic review of how management of long-term conditions in people with dementia is best enabled and supported, including factors that facilitate or inhibit self-management and management by a proxy.

DESIGN

Systematic review.

DATA SOURCES

We systematically searched MEDLINE, PsychINFO, Embase and Allied and Complementary Medicine databases up to November 2018.

REVIEW METHODS

We identified the long-term conditions most prevalent in people with dementia that require an element of self-management. We then developed our inclusion criteria to identify qualitative and quantitative studies describing the self-management (or self-management assisted by family carers) of long-term conditions in people with dementia. Two authors independently rated study validity using a standardised checklist. We synthesised qualitative and quantitative findings using a data driven convergent synthesis approach.

RESULTS

We included 12 articles meeting predetermined inclusion criteria: seven qualitative, two case studies, two quantitative and one mixed methods study. We identified four main themes across these studies: (1) dementia symptoms impeding treatment regimens (forgetfulness, decreased understanding, ability to communicate symptoms and behavioural and psychological symptoms); (2) adapting routines to be simpler, (using memory aids and accommodating physical limitations); (3) negotiating self-management support (carer availability and knowledge; balancing needs for safety and empowerment); and (4) interface with professionals, (Routine simplification, condition specific education, and acknowledging carer role).

CONCLUSIONS

People living with dementia can be supported to manage their own health for as long as possible, through simplifying routines and reminding, but where this can no longer be negotiated, carers take over responsibility for self-management, often due to safety concerns. Empowerment of people with dementia to remain involved in their care reduces the loss experienced by this transition. Communication and partnership between clinicians and carers is critical when supporting people living with a long-term condition and dementia. Care planning for people living with dementia and a long-term condition should include explicit discussion of how these partnerships will work and guidance on strategies carers can use to support people to self-manage long-term conditions.

Cognitive Impairment and Glycemic Control in Elderly Patients Under Health-Care Case Management

We aim to test whether the association between glucose control and cognitive function still holds true in elderly patients with diabetes mellitus (DM) and Alzheimer disease (AD) under health-care case management. We enrolled 100 patients with DM (mean age: 74.6 years; male: 49%) and 102 patients with AD (mean age: 77.9 years; male: 41.2%) consecutively from the Diabetes Shared Care Program and the memory clinic. These patients were followed up every 3 months with scheduled examinations. Most patients with AD were at early stage and DM was a common comorbidity (n = 42). In the DM group, there were 76 patients with subjective cognitive decline and 19 patients with mild cognitive impairment, but none sought further consultation. After adjusting for age, sex, education, and comorbidity, higher levels of glycated hemoglobin (HbA_1C) were not associated with lower Mini-Mental State Examination (MMSE) scores in the DM group (coefficient: 0.03; 95% confidence interval [CI]: -0.44 to 0.50) and lower MMSE scores were not associated with higher HbA_1C in the AD group either (coefficient: -0.05; 95% CI: -0.11 to 0.01). When additionally accounting for the variability of HbA_1C in the DM group, higher standard deviation of HbA_1C was associated with poor clock drawing test scores, but not MMSE. The coexistence of AD-DM was common, but the association between hyperglycemia and cognitive impairment was not seen in patients under regular health monitoring.