Type 2 diabetes mellitus in older people: a brief statement of key principles of modern day management including the assessment of frailty. A national collaborative stakeholder initiative

Recognising and managing hypoglycaemia in adults with diabetes in the emergency department

Hypoglycaemia is a common cause of presentation to the emergency department (ED) for people with diabetes mellitus. Patients experiencing a hypoglycaemic episode require prompt treatment with fast-acting glucose to prevent brain fuel deprivation and functional brain failure, therefore it is vital that ED nurses can recognise the signs and symptoms of hypoglycaemia and are aware of the factors that can compound or mask it. This article discusses the aetiology and signs and symptoms of hypoglycaemia in adults with type 1 and type 2 diabetes and describes the use of an algorithm for the management of hypoglycaemia in this patient population in hospital. The author also discusses how ED nurses can try to identify the cause of the hypoglycaemic episode and work with patients, their relatives or carers and the wider multidisciplinary team to prevent reoccurrence.

A cross-sectional study on the effects of physical activity on hand grip strength in type 2 diabetes mellitus patients

OBJECTIVES

The pervasiveness of type 2 diabetes mellitus (T2DM) is rapidly increasing worldwide, with physical inactivity being one of the major risk factors. Hand grip strength (HGS) is an important indicator of overall physical functioning and has been associated with various health-related outcomes. The purpose of this study was to investigate the impact of physical activity on the HGS of patients with type 2 diabetes mellitus (T2DM). Furthermore, it scrutinizes the relationship between physical activity and HGS in terms of sex.

METHODS

A cross-sectional study including a total of 140 patients with T2DM was performed. Physical activity levels were assessed via the International Physical Activity Questionnaire (IPAQ). HGS was measured via a Camry digital handgrip dynamometer. Statistical analysis was performed via SPSS software, and statistical approaches such as ANOVA, Pearson correlation and t tests were used.

RESULTS

The results of this research will contribute to the detection of the influence of physical activity and its association with HGS. These findings reveal that physical activity has a significant effect on HGS and that there is a positive correlation between physical activity and increased hand grip strength in individuals with T2DM.

CONCLUSIONS

The outcomes offer valuable insights into physical activity and muscle strength, which can aid in the early detection of physical disability. The findings of this study will be valuable for healthcare providers and professionals to suggest relevant physical activities for diabetic patients.

Diabetes in residential aged care: Pharmacological management and concordance with clinical guidelines

OBJECTIVE

Existing studies have highlighted suboptimal diabetes management in residential aged care facilities (RACFs). However, understanding of diabetes management in Australian metropolitan RACFs has been limited. This retrospective cohort study aimed to explore the pharmacological management of diabetes in 25 RACFs in Sydney Australia and assess concordance with clinical practice guidelines (CPGs).

METHODS

Data from 231 permanent RACF residents aged ≥65 years and over with type 2 diabetes mellitus over the period from 1 July 2016 to 31 December 2019 were used. Concordance was measured by assessing the medications and medical history data for each individual resident for concordance with evidence-based CPGs. Multivariable logistic regression was used to estimate the effect of resident characteristics on concordance with CPGs.

RESULTS

Of the 231 residents with diabetes, 87 (38%) were not taking any antidiabetic medication. Pharmacological management inconsistent with CPG recommendations was observed for 73 (32%) residents, with the most common reason for non-concordance being the use of medications with significant adverse effects in older adults (47, 2%). Residents with hypertension or other heart diseases in addition to their diabetes had greater odds of their diabetes management being non-concordant with CPGs (OR = 2.84 95% CI = 1.54, 5.3 and OR = 2.64, 95% CI = 1.07, 6.41, respectively).

CONCLUSIONS

Pharmacological diabetes management in metropolitan Australian RACFs is suboptimal, with a high prevalence of inconsistency with CPGs (32%) observed. Additionally, having hypertension or heart diseases significantly increased the possibility of non-concordance among diabetic RACF residents. Further investigation into the underlying relationships with comorbidities is required to develop better strategies.

The effectiveness and safety of linagliptin within elderly type 2 diabetes mellitus: a meta-analysis and systematic review

INTRODUCTION

Linagliptin is a convenient and effective drug approved for glycemic management in type 2 diabetes mellitus (T2DM). However, the effectiveness and safety evidence of linagliptin remains unclear with the increasing prevalence of T2DM in elderly patients. The aim of this study was to evaluate the effectiveness and safety of linagliptin within T2DM cases who aged ≥60 years.

EVIDENCE ACQUISITION

The researchers pooled 4903 cases aged ≥60 years with T2DM from 5 published randomized clinical trials obtained from multiple databases. The safety was evaluated by the incidence and severity of adverse events which mainly focused on hypoglycemia. The major effectiveness end point was the change of glycated hemoglobin (HbA1c). Then the researchers made the qualitative and quantitative assessments of the investigation.

EVIDENCE SYNTHESIS

The level of HbA1c and fasting plasma glucose was significantly reduced by linagliptin (WMD=-0.63%, 95% CI: -0.81, -0.44; P<0.00001; Z=6.70) and (WMD=-15.58 mg/dL, 95% CI: -22.34, -8.82; P<0.00001; Z=4.52) relative to that in the placebo cohort. The incidences of overall (OR=1.01, 95% CI: 0.82, 1.25; P=0.91) and severe negative events (OR=0.88, 95% CI: 0.61, 1.25; P=0.46) were not significant increased in linagliptin cohorts compared to the placebo cohorts. There is insignificant difference in hypoglycemia between linagliptin and placebo cohorts for the 24 weeks' study (OR=1.12, 95% CI: 0.85, 1.48; P=0.41). Severe hypoglycemia had slightly descended incidence, whereas insignificant difference was shown in the linagliptin cohorts in contrast to placebo cohorts (OR=0.95, 95% CI: 0.68, 1.32, P=0.76).

CONCLUSIONS

Linagliptin is an effective drug with excellent safety for elderly T2DM.

Nutritional Interventions in Older Persons with Type 2 Diabetes and Frailty: A Scoping Systematic Review

In the elderly, the coexistence of type 2 diabetes mellitus (T2DM) and frailty is frequent. Much has been described about pharmacological management and glycemic control goals. However, there is a knowledge gap in terms of the objectives and characteristics of interventions, especially nutritional ones, for this population. A scoping review was performed to document the objectives, characteristics, and results of nutritional interventions in older people with T2DM and frailty. The five-stage framework of Arksey and O'Malley was used, as was the PRISMA extension for scoping reviews. The results stand out for three trends, as follows: (1) experimental studies with multicomponent intervention physical exercise programs and nutritional programs based on educational processes or behavioral intervention; (2) observational studies with an association of the kind of diet assessed by scales and their relation to stages of frailty; (3) a review that updates recommendations on pharmacological and non-pharmacological, diet, exercise, management, as well as glucose control goals for diabetes in frail older persons. Finally, the evidence shows that management of T2DM in older adults with frailty requires goals and interventions tailored to their functional capacity and health condition. The exercise, diet, and education programs reviewed have demonstrated their effectiveness in improving physical performance, reducing the risk of frailty or progression to more advanced stages, and achieving better glycemic control.

Frailty Detection in Older Adults with Diabetes: A Scoping Review of Assessment Tools and Their Link to Key Clinical Outcomes

Objectives: With the increasing prevalence of diabetes and frailty among older adults, there is an urgent need for precision medicine that incorporates comprehensive geriatric assessments, including frailty detection. This scoping review aims to map and synthesize the available evidence on validated tools for detecting pre-frailty and frailty in community-dwelling elderly individuals with diabetes and outpatient diabetes patients. Specifically, it addresses: (1) What validated tools are available for detecting pre-frailty and frailty in this population? (2) How are these tools associated with outcomes such as glycemic control, hypoglycemia, and metabolic phenotypes? (3) What gaps exist in the literature regarding these tools? Methods: The review followed PRISMA-ScR guidelines, conducting a systematic search across PubMed, Cochrane Library, and Web of Science. The inclusion criteria focused on studies involving individuals aged 70 years and older with diabetes, emphasizing tools with predictive capacity for disability and mortality. Results: Eight instruments met the inclusion criteria, including the Frailty Index, Physical Frailty Phenotype, and Clinical Frailty Scale. These tools varied in domains such as physical, psychological, and social aspects of frailty and their association with glycemic control, hypoglycemia, and metabolic phenotypes. The review identified significant gaps in predicting diabetes-related complications and their clinical application. Conclusions: Routine management of older adults with diabetes should incorporate frailty detection, as it is crucial for their overall health. Although widely used, the reviewed tools require refinement to address the unique characteristics of this population. Developing tailored instruments will enhance precision medicine, leading to more effective, individualized interventions for elderly individuals with diabetes.

Effect of frailty on effectiveness and safety of GLP-1 receptor agonists versus SGLT2 inhibitors in people with type 2 diabetes in Taiwan: a retrospective, nationwide, longitudinal study

BACKGROUND

GLP-1 receptor agonists and SGLT2 inhibitors are increasingly being used in people with type 2 diabetes on the basis of findings from randomised clinical trials; however, little is known of whether clinical outcomes are affected by frailty in real-world settings. We aimed to compare the clinical effectiveness and safety of GLP-1 receptor agonists and SGLT2 inhibitors in managing type 2 diabetes, with a specific focus on stratifying people by their frailty status.

METHODS

In this retrospective, nationwide, longitudinal study, we identified people (aged ≥20 years) with type 2 diabetes who newly initiated either a GLP-1 receptor agonist or an SGLT2 inhibitor during the period Jan 1, 2017 to Dec 31, 2019 from the Taiwan National Health Insurance database. Individuals were excluded if they had been diagnosed with cancer, received dialysis for kidney failure, or had prescriptions for a GLP-1 receptor agonist or an SGLT2 inhibitor, within 1 year before the index date. Mortality data were collected from the Taiwan National Death Registry. Eligible individuals were categorised into three frailty subgroups-fit, mild frailty, and moderate or severe frailty-on the basis of the multimorbidity frailty index. Propensity score matching (1:1) was used to balance covariates between recipients of GLP-1 receptor agonists and SGLT2 inhibitors among each frailty subgroup. Clinical outcomes of interest included three-point major adverse cardiovascular events (non-fatal acute myocardial infarction, non-fatal stroke, and fatal cardiovascular disease), all-cause mortality, hospitalisation for heart failure, dialysis or renal transplant, severe diabetic foot complications, retinopathy, hospitalisation for severe hyperglycaemia, and hospitalisation for severe hypoglycaemia. The association between the use of a GLP-1 receptor agonist versus an SGLT2 inhibitor and the risk of the outcomes of interest among each frailty subgroup was examined using a subdistribution hazard model.

FINDINGS

We identified 320 210 people with type 2 diabetes, of whom 280 163 met the eligibility criteria, who initiated either a GLP-1 receptor agonist (n=22 968; mean age 57·7 years [SD 13·9], 11 338 [49·4%] were female, and 11 630 [50·6%] were male) or SGLT2 inhibitor (n=257 195; mean age 58·8 years [12·3], 107 988 [42·0%] were female, and 149 207 [58·0%] were male) during 2017-19. After matching, 11 882, 7210, and 3414 pairs of GLP-1 receptor agonist and SGLT2 inhibitor users were assigned in the fit, mild frailty, and moderate or severe frailty subgroups. All clinical outcomes were comparable between users of GLP-1 receptor agonists and SGLT2 inhibitors among each frailty subgroup, except for a higher risk of hospitalisation for severe hyperglycaemia with GLP-1 receptor agonists than with SGLT2 inhibitors in the mild frailty subgroup (subdistribution hazard ratio 1·25 [95% CI 1·13-1·38]; p<0·0001) and a higher risk of dialysis or renal transplant with GLP-1 receptor agonists than with SGLT2 inhibitors in the fit (2·43 [1·82-3·23]; p<0·0001), mild frailty (3·93 [3·03 -5·09]; p<0·0001), and moderate or severe frailty (2·60 [2·03-3·31]; p<0·0001) subgroups.

INTERPRETATION

Formulating clear and updated guidelines on the use of GLP-1 receptor agonists and SGLT2 inhibitors according to frailty status could improve management of type 2 diabetes.

FUNDING

Ministry of Education, Taiwan.

The Intersection between Frailty, Diabetes, and Hypertension: The Critical Role of Community Geriatricians and Pharmacists in Deprescribing

Background: Frailty is a clinical syndrome prevalent among the elderly, characterised by a decline in physiological reserves and increased susceptibility to stressors, resulting in higher morbidity and mortality. Diabetes and hypertension are common in frail older individuals, often leading to polypharmacy. In this narrative review, we aimed to evaluate the relationship between frailty, diabetes, and hypertension and to identify effective management strategies and future research directions. Methods: This narrative review was conducted using the Scopus, Medline, PubMed, Cochrane Library, and Google Scholar databases. Results: Frailty significantly impacts the management and prognosis of diabetes and hypertension, which, in turn, affects the progression of frailty. Managing these conditions often involves multiple drugs to achieve strict glycaemic control and blood pressure targets, leading to polypharmacy and associated morbidities, including orthostatic hypotension, falls, fractures, hypoglycaemia, and reduced medication adherence. Identifying frailty and implementing strategies like deprescribing can mitigate the adverse effects of polypharmacy and improve outcomes and quality of life. Despite the availability of effective tools for identifying frailty, many frail individuals continue to be exposed to complex treatment regimens for diabetes and hypertension, leading to increased hospital admissions, morbidity, and mortality. Conclusions: Managing diabetes and hypertension in the frail ageing population requires a multidisciplinary approach involving hospital and community geriatricians and pharmacists. This is important due to the lack of sufficient clinical trials dedicated to diabetes and hypertension in the context of frailty. Future large population studies are needed to assess the best approaches for managing diabetes and hypertension in frail individuals.

Holistic and Personalized Strategies for Managing in Elderly Type 2 Diabetes Patients

Due to increased life expectancy and lifestyle changes, the prevalence of diabetes among the elderly in Korea is continuously rising, as is the associated public health burden. Diabetes management in elderly patients is complicated by age-related physiological changes, sarcopenia characterized by loss of muscle mass and function, comorbidities, and varying levels of functional, cognitive, and mobility abilities that lead to frailty. Moreover, elderly patients with diabetes frequently face multiple chronic conditions that elevate their risk of cardiovascular diseases, cancer, and mortality; they are also prone to complications such as hyperglycemic hyperosmolar state, diabetic ketoacidosis, and severe hypoglycemia. This review examines the characteristics of and management approaches for diabetes in the elderly, and advocates for a comprehensive yet personalized strategy.

BMI Trajectories in Late Middle Age, Genetic Risk, and Incident Diabetes in Older Adults: Evidence From a 26-Year Longitudinal Study

This study investigated the association between body mass index (BMI) trajectories in late middle age and incident diabetes in later years. A total of 11,441 participants aged 50-60 years from the Health and Retirement Study with at least 2 self-reported BMI records were included. Individual BMI trajectories representing average BMI changes per year were generated using multilevel modeling. Adjusted risk ratios (ARRs) and 95% confidence intervals (95% CIs) were calculated. Associations between BMI trajectories and diabetes risk in participants with different genetic risks were estimated for 5,720 participants of European ancestry. BMI trajectories were significantly associated with diabetes risk in older age (slowly increasing vs. stable: ARR = 1.31, 95% CI: 1.12, 1.54; rapidly increasing vs. stable: ARR = 1.5, 95% CI: 1.25, 1.79). This association was strongest for normal-initial-BMI participants (slowly increasing: ARR = 1.34, 95% CI: 0.96, 1.88; rapidly increasing: ARR = 2.06, 95% CI: 1.37, 3.11). Participants with a higher genetic liability to diabetes and a rapidly increasing BMI trajectory had the highest risk for diabetes (ARR = 2.15, 95% CI: 1.67, 2.76). These findings confirmed that BMI is the leading risk factor for diabetes and that although the normal BMI group has the lowest incidence rate for diabetes, people with normal BMI are most sensitive to changes in BMI.

Prevalence and risk factors of diabetes mellitus among elderly patients in the Lugu community

BACKGROUND

Age is a significant risk factor of diabetes mellitus (DM). With the develop of population aging, the incidence of DM remains increasing. Understanding the epidemiology of DM among elderly individuals in a certain area contributes to the DM interventions for the local elderly individuals with high risk of DM.

AIM

To explore the prevalence of DM among elderly individuals in the Lugu community and analyze the related risk factors to provide a valid scientific basis for the health management of elderly individuals.

METHODS

A total of 4816 elderly people who came to the community for physical examination were retrospectively analyzed. The prevalence of DM among the elderly was calculated. The individuals were divided into a DM group and a non-DM group according to the diagnosis of DM to compare the differences in diastolic blood pressure (DBP) and systolic blood pressure (SBP), fasting blood glucose, body mass index (BMI), waist-to-hip ratio (WHR) and incidence of hypertension (HT), coronary heart disease (CHD), and chronic kidney disease (CKD).

RESULTS

DM was diagnosed in 32.70% of the 4816 elderly people. The BMI of the DM group (25.16 ± 3.35) was greater than that of the non-DM group (24.61 ± 3.78). The WHR was 0.90 ± 0.04 in the non-DM group and 0.90 ± 0.03 in the DM group, with no significant difference. The left SBP and SBP in the DM group were 137.9 mmHg ± 11.92 mmHg and 69.95 mmHg ± 7.75 mmHg, respectively, while they were 126.6 mmHg ± 12.44 mmHg and 71.15 mmHg ± 12.55 mmHg, respectively, in the non-DM group. These findings indicate higher SBP and lower DBP in DM patients than in those without DM. In the DM group, 1274 patients were diagnosed with HT, accounting for 80.89%. Among the 3241 non-DM patients, 1743 (53.78%) were hypertensive and 1498 (46.22%) were nonhypertensive. The DM group had more cases of HT than did the non-DM group. There were more patients with CHD or CKD in the DM group than in the non-DM group. There were more patients who drank alcohol more frequently (≥ 3 times) in the DM group than in the non-DM group.

CONCLUSION

Older adults in the Lugu community are at a greater risk of DM. In elderly individuals, DM is closely related to high BMI and HT, CHD, and CKD. Physical examinations should be actively carried out for elderly people to determine their BMI, SBP, DBP, and other signs, and sufficient attention should be given to abnormalities in the above signs before further diagnosis.

What are the consequences of over and undertreatment of type 2 diabetes mellitus in a frail population? A systematic review

AIMS

This review aims to identify the evidence base for the consequences of over and undertreatment of type 2 diabetes mellitus in a frail population.

METHOD

In this systematic review, we searched MEDLINE, Embase, PubMed, CINAHL and the Cochrane Library for studies from January 2001 to 15th August 2022. We included a variety of study types that assessed and reported frailty including patients ≥18 years old. Studies included those that reported the prevalence of over or undertreatment of diabetes mellitus in a frail population and those examining outcomes related to glucose control in frail older people living with diabetes. Data were extracted using a bespoke extraction table using a narrative synthesis approach.

RESULTS

A total of 4114 articles were identified with 112 meeting inclusion criteria. These included 15,130 participants across the 11 studies with sample sizes ranging from 101 to 11,140. Several areas were identified in the included studies where under or overtreatment of diabetes impacted outcomes for patients. These included hospital admissions, readmissions, length of stay, falls, mortality, cognitive impairment and cardiovascular disease outcomes.

CONCLUSION

The results showed that there was a high heterogeneity of outcomes between the studies and that many examined small numbers of participants. In this review, both over and undertreatment were shown to increase adverse outcomes in frail older people. Further research around optimal glycaemic control for frail older people living with diabetes is required with the aim to identify ideal target ranges and produce practical clinical guidelines to promote attainment of these.

Effects of individual metabolic brain network changes co-affected by T2DM and aging on the probabilities of T2DM: protective and risk factors

Neuroimaging markers for risk and protective factors related to type 2 diabetes mellitus are critical for clinical prevention and intervention. In this work, the individual metabolic brain networks were constructed with Jensen-Shannon divergence for 4 groups (elderly type 2 diabetes mellitus and healthy controls, and middle-aged type 2 diabetes mellitus and healthy controls). Regional network properties were used to identify hub regions. Rich-club, feeder, and local connections were subsequently obtained, intergroup differences in connections and correlations between them and age (or fasting plasma glucose) were analyzed. Multinomial logistic regression was performed to explore effects of network changes on the probability of type 2 diabetes mellitus. The elderly had increased rich-club and feeder connections, and decreased local connection than the middle-aged among type 2 diabetes mellitus; type 2 diabetes mellitus had decreased rich-club and feeder connections than healthy controls. Protective factors including glucose metabolism in triangle part of inferior frontal gyrus, metabolic connectivity between triangle of the inferior frontal gyrus and anterior cingulate cortex, degree centrality of putamen, and risk factors including metabolic connectivities between triangle of the inferior frontal gyrus and Heschl's gyri were identified for the probability of type 2 diabetes mellitus. Metabolic interactions among critical brain regions increased in type 2 diabetes mellitus with aging. Individual metabolic network changes co-affected by type 2 diabetes mellitus and aging were identified as protective and risk factors for the likelihood of type 2 diabetes mellitus, providing guiding evidence for clinical interventions.

Unveiling Diabetes: Categories, Genetics, Diagnostics, Treatments, and Future Horizons

Diabetes mellitus is a global epidemic affecting millions of individuals worldwide. This comprehensive review aims to provide a thorough understanding of the categorization, disease identity, genetic architecture, diagnosis, and treatment of diabetes. The categorization of diabetes is discussed, with a focus on type 1 and type 2 diabetes, as well as the lesser-known types, type 3 and type 4 diabetes. The geographical variation, age, gender, and ethnic differences in the prevalence of type 1 and type 2 diabetes are explored. The impact of disease identity on disease management and the role of autoimmunity in diabetes are examined. The genetic architecture of diabetes, including the interplay between genotype and phenotype, is discussed to enhance our understanding of the underlying mechanisms. The importance of insulin injection sites and the insulin signalling pathway in diabetes management are highlighted. The diagnostic techniques for diabetes are reviewed, along with advancements for improved differentiation between types. Treatment and management approaches, including medications used in diabetes management are presented. Finally, future perspectives are discussed, emphasizing the need for further research and interventions to address the global burden of diabetes. This review serves as a valuable resource for healthcare professionals, researchers, and policymakers, providing insights to develop targeted strategies for the prevention, diagnosis, and management of this complex disease.

Management of Glucose-Lowering Therapy in Older Adults with Type 2 Diabetes: Challenges and Opportunities

The population of older adults (≥65 years) with type 2 diabetes mellitus (T2DM) is diverse, encompassing individuals with varying functional capabilities, living arrangements, concomitant medical conditions, and life expectancies. Hence, their categorization into different patient profiles (ie, good health, intermediate health, poor health) may aid in clinical decision-making when establishing glycemic goals and pharmacological treatment strategies. Further granularity in assessing each patient profile through interdisciplinary collaboration may also add precision to therapeutic and monitoring decisions. In this review, we discuss with a multidisciplinary approach how to deliver the best benefit from advanced diabetes therapies and technologies to older adults with T2DM according to each patient profile. There remain however several areas that deserve further research in older adults with T2DM, including the efficacy and safety of continuous glucose monitoring and automated insulin delivery systems, the switch to once-weekly insulin, the effectiveness of multidisciplinary care models, and the use of supported telemedicine and remote blood glucose monitoring in the oldest-old (≥85 years) who particularly require the assistance of others.

Perspectives of older people with uncontrolled type 2 diabetes mellitus towards medication adherence: A qualitative study

BACKGROUND

Better medication adherence among people with diabetes mellitus was found to be associated with improved glycaemic control. However, medication non-adherence is a significant concern in older people with uncontrolled type 2 diabetes mellitus.

PURPOSE

To explore the perspectives of older people with uncontrolled type 2 diabetes mellitus towards medication adherence.

DESIGN

A qualitative descriptive exploratory study.

METHODOLOGY

A purposive sample of older people with uncontrolled type 2 diabetes mellitus living in the community was recruited. Snowball sampling was applied in community recruitment. In-depth telephone interviews were conducted using a semi-structured interview guide. Interviews were transcribed verbatim. Thematic analysis was used in data analysis. The consolidated criteria for reporting qualitative research (COREQ) guidelines were followed.

RESULTS

The emerged six themes were: (a) impact of knowledge, attitudes and practices on medication adherence, (b) treatment-related barriers to medication adherence, (c) impact of age-related changes on medication adherence, (d) person-related barriers to medication adherence, (e) impact of COVID-19 on medication adherence and, (f) role of support systems in medication adherence. Knowledge of the disease process and medications, attitudes towards medication adherence, the practice of different treatment approaches, self-medication and dosing, negative experiences related to medications, polypharmacy, changes in lifestyle and roles, the influence of work-life, motivation, negligence, family support, support received from health workers, facilities available and financial capability are the main factors influence medication adherence. Age-related memory impairment, visual disturbances and physical weaknesses affect medication adherence in older people. Additionally, COVID-19-related guidelines imposed by the government and healthcare system-related issues during the COVID-19 pandemic also affected medication adherence.

CONCLUSION

Adherence to medications among older people is hampered by a variety of factors, including their knowledge, attitudes and practices, person and treatment-related factors and age-related changes. The COVID-19 pandemic has brought additional challenges. Individualised patient care for older people with uncontrolled type 2 diabetes mellitus to improve medication adherence is timely. Strengthening support mechanisms for the above population is essential.

Clinical impacts of frailty on 123,172 people with diabetes mellitus considering the age of onset and drugs of choice: a nationwide population-based 10-year trajectory analysis

AIMS

Frailty substantially increased the risk of adverse clinical outcomes, which was also critical in diabetes management. This study aimed to investigate the interrelationships between the age of onset, frailty, anti-diabetic medications and clinical outcomes in people with diabetes mellitus (DM).

METHODS

A total of 123,172 people aged 40 years and older who were newly diagnosed with DM were identified and categorised into four frailty subgroups (robust, mild, moderate and severe) based on the multimorbidity frailty index (mFI). Cox proportional hazards models were used to examine associations between frailty and clinical outcomes at different ages of DM onsets (40-64, 65-74, 75-84 and 85+ years). Outcomes of interest included generic outcomes (mortality and unplanned hospitalisation) and DM-related outcomes (cardiovascular disease-related mortality, major adverse cardiovascular events (MACEs), diabetes-related hospitalisation and hypoglycaemia).

RESULTS

The proportion of frailty increased with age at diagnosis amongst people with incident DM and the mFI scores increased significantly during the 10-year follow-up. Amongst people with diabetes, those with mild, moderate and severe frailty were associated with greater risks of all-cause mortality (mild: adjusted hazard ratio (aHR) 1.69 [95% confidence interval (CI) 1.60-1.80], P < 0.01; moderate: aHR 2.46 [2.29-2.65], P < 0.01; severe frailty: aHR 3.40 [3.16-3.65], P < 0.01) compared with the robust group. Similar results were found in unplanned hospitalisations, cardiovascular disease-related mortality, MACEs and hypoglycaemia.

CONCLUSIONS

Our study quantified the prevalence of frailty, captured its dynamic changes and examined its impacts on various clinical outcomes amongst people with diabetes at different ages at onset. Frailty assessment and management should be implemented into routine diabetes care.

Ten-Year Prospective Follow-Up of Institutionalized Patients With Diabetes in a Long-Term Care Home

Clinical practice recommendations advise individualizing diabetes treatment for elderly people, especially those living in long-term care facilities. Elderly patients face one of two main risks: either excessive treatment leading to hypoglycemia or insufficient treatment leading to progression of complications and excess mortality. This article describes a 10-year prospective observational study of people with diabetes in a long-term care home to determine the effect of routine glucose monitoring and monthly evaluation by a diabetes specialist with a goal of improving A1C. Its findings suggest that minimal glucose monitoring and monthly medical follow-up can optimize patient outcomes and help to maintain quality of life without over-medicalization of older people with diabetes in institutional settings.

Relative protein intake and associations with markers of physical function in those with type 2 diabetes

AIMS

To examine the independent associations between relative protein intake (g kg^-1  day ¹ ) and markers of physical function in those with type 2 diabetes, while also comparing with current guidelines for protein intake.

METHODS

This analysis reports data from the ongoing Chronotype of Patients with Type 2 Diabetes and Effect on Glycaemic Control (CODEC) study. Functional assessments included: Short Physical Performance Battery (SPPB), 60 s sit-to-stand (STS-60), 4-m gait speed, time to rise from a chair (×5) and handgrip strength. Participants also completed a self-reported 4 day diet diary. Regression analyses assessed whether relative protein intake was associated with markers of physical function. Interaction terms assessed whether the associations were modified by sex, age, HbA1c or body mass index (BMI).

RESULTS

413 participants were included (mean ± SD:age = 65.0 ± 7.7 years, 33% female, BMI = 30.6 ± 5.1 kg/m² ). The average total protein intake was 0.88 ± 0.31 g kg^-1  day^-1 . 33% of individuals failed to meet the reference nutrient intake for the United Kingdom (≥0.75 g kg^-1  day^-1 ), and 87% for European recommendations (≥1.2 g kg^-1  day^-1 ). After adjustment, each 0.5 g/kg of protein intake was associated with an 18.9% (95% CI: 2.3, 35.5) higher SPPB score, 22.7% (1.1, 44.3) more repetitions in STS-60, 21.1% (4.5, 37.7) faster gait speed and 33.2% (16.9, 49.5) lower chair rise time. There were no associations with handgrip strength or any interactions.

CONCLUSIONS

Relative protein intake was positively associated with physical function outcomes, even after consideration of total energy intake. As a number of individuals were below the current guidelines, protein intake may be a modifiable factor of importance for people with type 2 diabetes.

Evaluation of the Clinical Efficacy of the Treatment of Overweight and Obesity in Type 2 Diabetes Mellitus by the Telemedicine Management System Based on the Internet of Things Technology

Objective

To explore the application value of medical intelligent electronic system under the background of Internet of Things in the clinical study of the treatment of overweight/obesity in type 2 diabetes mellitus (T2DM) with empagliflozin combined with liraglutide; 50 overweight and obese adult T2DM patients in our hospital were randomly divided into the combined group and the control group, 25 cases in each group. The control group was treated with liraglutide alone, while the combined group was treated with empagliflozin on the basis of liraglutide. Based on the Internet of Things technology, with diabetes management as the core, the functions of information collection, transmission, and storage of T2DM patients are realized. Doctors pass the diabetes management plan to T2DM patients through the platform, supervise the implementation, and finally compare the clinical efficacy of the two groups.

Results

Compared with before treatment, the body mass index (BMI), fasting blood glucose (FPG), postprandial blood glucose (2hPG), glycosylated hemoglobin (HbAlc), islet beta cell secretion function index (HOMA-β), islet resistance index (HOMA-IR), total cholesterol (TC), and triglyceride (TG) in both groups decreased significantly after treatment. After combined treatment, systolic blood pressure (SBP), diastolic blood pressure (DBP), FPG, 2hPG, HbA1c, and HOMA-IR in the combined group were significantly lower than those in the control group (P < 0.05). Hypoglycemia occurred in both groups, with 2 cases in the control group and 4 cases in the combined group.

Conclusion

The telemedicine management system based on Internet of Things technology can improve patients' self-management ability and provide a new choice for individualized treatment of overweight/obesity T2DM patients. The combination therapy of empagliflozin and liraglutide can effectively reduce blood sugar, weight, blood pressure, blood lipid, and hypoglycemia and effectively improve insulin resistance and secretion function of islet β cells in T2DM patients.

Prehospital Care of Coronary Artery Disease and Its Major Risk Factors in Geropsychiatric Inpatients

BACKGROUND

Older adults with serious mental illness have a high prevalence of coronary artery and its major risk factors, that is, arterial hypertension, dyslipidemia, and diabetes mellitus. The prevalence and clinical control of these conditions have not been compared in geropsychiatric inpatients with dementia versus those with mood or psychotic disorders.

STUDY QUESTION

What is the prevalence and acuity of coronary artery disease arterial hypertension, dyslipidemia, and diabetes mellitus among patients with dementia, mood, and psychotic disorders admitted for geropsychiatric care?

STUDY DESIGN

Patients 65 years of age or older were identified in a cohort of 1000 patients consecutively admitted over a 3-year period to the geropsychiatric unit of a 200-bed mental health hospital in suburban New York. All patients had a structured clinical and laboratory evaluation within 72 hours of admission.

DATA SOURCES

Primary psychiatric diagnoses, medical history, the frequency of poorly controlled cardiometabolic comorbidity, that is, requiring an immediate change in the management plan, and the Charlson Comorbidity Index.

RESULTS

The 65 years and older patient sample (N = 689) had a mean age of 74.8 years, and 58.8% of the subjects were women. The 205 patients with dementia were older (P < 0.001). Then, the 337 patients were with mood disorders and the 147 patients with psychotic. The numbers of medical conditions and Charlson Comorbidity Index after exclusion of dementia were similar in patients with dementia versus patients without dementia. A substantial number of patients had poorly controlled arterial hypertension (51.2%), dyslipidemia (25.4%), diabetes (24.2%), and coronary artery disease (15.4%). Patients with dementia had a lower prevalence of poorly controlled dyslipidemia (P = 0.0006), diabetes (P = 0.0089), and coronary artery disease (P = 0.045).

CONCLUSIONS

Compared with mood or psychotic disorder, a diagnosis of dementia with behavioral disturbance seemed to be associated with better control of coronary artery disease, dyslipidemia, and diabetes mellitus in geropsychiatric inpatients.

The prevalence and incidence of pharmacologically treated diabetes among older people receiving home care services in Norway 2009-2014: a nationwide longitudinal study

BACKGROUND

A substantial proportion of older people who receive home care services (HCS) has diabetes and requires diabetes specific monitoring, treatment and self-care assistance. However, the prevalence and incidence rates of diabetes among older people in HCS are poorly described. The aim of the study is to estimate prevalence, incidence and time trends of pharmacologically treated diabetes among older people receiving HCS in Norway 2009-2014.

METHODS

This nationwide observational cohort study is based on data from two population registries. The study population consisted of persons registered in the Norwegian Information System for the Nursing and Care Sector aged ≥ 65 years receiving HCS during at least one of the years 2009-2014. The Norwegian Prescription Database was utilized to identify participants' prescriptions for glucose lowering drugs (GLD). The period prevalence was calculated each year as persons with one or more prescriptions of GLD in the current or previous year. Incident cases were defined as subjects receiving prescriptions of GLD for the first time in the given calendar year if there were no prescriptions of any GLD for that person during the previous two years.

RESULTS

From 2009 to 2014, the number of older people receiving HCS increased from 112,487 to 125,593. The proportion of these who received GLD increased from 14.2% to 15.7% (p < 0.001) and was significantly higher among men than women. The annual incidence rate of diabetes among those receiving HCS showed a decreasing trend from 95.4 to 87.5 cases per 10,000 person-years from 2011 to 2014, but when stratifying on age group and gender, was significant only among the oldest women (age groups 85-89 years and 90 +).

CONCLUSIONS

The increasing prevalence of older people with diabetes who receive HCS highlights the importance of attention to treatment and care related to diabetes in the HCS.

The joint effects of physical activity and air pollution on type 2 diabetes in older adults

BACKGROUND

Older adults with type 2 diabetes are at higher risk of developing common geriatric syndromes and have a lower quality of life. To prevent type 2 diabetes in older adults, it's unclear whether the health benefits of physical activity (PA) will be influenced by the harms caused by increased exposure to air pollution during PA, especially in developing countries with severe air pollution problem. We aimed to investigate the joint effects of PA and long-term exposure to air pollution on the type 2 diabetes in older adults from China.

METHODS

This cross-sectional study was based on the China Multi-Ethnic cohort (CMEC) study. The metabolic equivalent of PA was calculated according to the PA scale during the CMEC baseline survey. High resolution air pollution datasets (PM₁₀, PM_2.5 and PM₁) were collected from open products. The joint effects were assessed by the marginal structural mean model with generalized propensity score.

RESULTS

A total of 36,562 participants aged 50 to 79 years were included in the study. The prevalence of type 2 diabetes was 10.88%. The mean (SD) level of PA was 24.93 (18.60) MET-h/d, and the mean (SD) level of PM₁₀, PM_2.5, and PM₁ were 70.00 (23.32) µg/m³, 40.45 (15.66) µg/m³ and 27.62 (6.51) µg/m³, respectively. With PM₁₀ < 92 µg/m³, PM_2.5 < 61 µg/m³, and PM₁ < 36 µg/m³, the benefit effects of PA on type 2 diabetes was significantly greater than the harms due to PMs when PA levels were roughly below 80 MET-h/d. With PM₁₀ ≥ 92 µg/m³, PM_2.5 ≥ 61 µg/m³, and PM₁ ≥ 36 µg/m³, the odds ratio (OR) first decreased and then rose rapidly with confidence intervals progressively greater than 1 and break-even points close to or even below 40 MET-h/d.

CONCLUSIONS

Our findings implied that for the prevention of type 2 diabetes in older adults, the PA health benefits outweighed the harms of air pollution except in extreme air pollution situations, and suggested that when the air quality of residence is severe, the PA levels should ideally not exceed 40 MET-h/d.

What are the self-management experiences of the elderly with diabetes? A systematic review of qualitative research

BACKGROUND

The number of elderly individuals with diabetes is dramatically increasing. Diabetes is a long-term condition and a noncommunicable disease and requires intensive daily self-management. Understanding of self-management from the patients’ perspectives is important to nurses, healthcare providers, and researchers and benefits people by improving their self-management skills.

AIM

To examine and synthesize qualitative studies that explore the experiences of elderly people in self-managing diabetes.

METHODS

Electronic databases were searched, including MEDLINE, CINAH, PsycINFO, PubMed, CNKI, and WANFADATA. Relevant research was identified by manually searching reference lists and gray literature. Only English and Chinese publications were included. The Critical Appraisal Skills Program was used to assess the quality of the research. The Confidence in the Evidence from Reviews of Qualitative research approach was used to assess the confidence of the findings.

RESULTS

A total of 10 qualitative studies were included, and content analysis was performed. Five themes were identified: The need for knowledge about diabetes care, support systems, functional decline, attitudes toward diabetes, and healthy lifestyle challenges.

CONCLUSION

This present review provides a deep and broad understanding of the experiences in the self-management of diabetes and can be valuable to nursing practice and provide recommendations for future research.

Long-term clinical and cost-effectiveness of collaborative care in people with uncontrolled type 2 diabetes mellitus and polypharmacy: A multicenter randomized controlled trial

AIMS

This study examined the effectiveness of a collaborative care model on clinical and humanistic outcomes, medical cost, productivity loss, and its cost-effectiveness in managing uncontrolled Type 2 Diabetes Mellitus (T2DM).

METHODS

A randomized controlled study was conducted in two outpatient health institutions in Singapore. Patients aged above 21 years with HbA1c > 7% and polypharmacy were included. Eligible patients were randomized into the intervention (collaborative care) and control (usual care) arms.

RESULTS

A total of 255 patients were included in the analysis. Compared to the control arm, the intervention arm achieved significantly greater glycated hemoglobin (HbA1c) reduction (mean difference: 0.25, 95%CI: [0.001, 0.50], p = 0.049) and quality-adjusted life year (QALY) (+0.011, 95%CI: [0.003, 0.019], p = 0.011) at 12 months. The costs per additional HbA1c and QALY improvements over one year were $40.52 and $920.91 respectively. Activity impairment was lower in the intervention group both at 6 months (12.7% vs 19.0%; p = 0.022) and at 12 months (6.7% vs 14.0%; p = 0.008).

CONCLUSIONS

The collaborative care model achieved earlier HbA1c reduction and reduced patients' activity impairment without decreasing work productivity or increasing medical costs. This intervention is cost-effective for improving glycemic control and quality of life in patients with T2DM.

Study on Influencing Factors of Frailty in Elderly Patients with Type II Diabetes

The purpose of this study was to analyze the influencing factors of frailty in elderly patients with type II diabetes. 332 elderly patients with type II diabetes admitted to our hospital from May 2018 to December 2019 were selected as the study subjects. The degree of frailty was evaluated by the Fried fragility phenotype scale, and the general information and the clinical data of patients were collected by inquiry and questionnaire survey. After that, all the data were analyzed by SPSS 20.0. Univariate analysis showed that there were significant differences in age, medication types, dietary habits, exercise tolerance, exercise capacity, body balance, coordination ability, urinary incontinence, anxiety, etc., in elderly patients with type II diabetes who suffered from different degrees of frailty (P < 0.01). In addition, there were significant differences in the presence of coronary heart disease, heart failure, atrial fibrillation, pulmonary diseases, osteoarticular diseases, anemia, and other blood diseases of elderly patients with type II diabetes who suffered from different degrees of frailty (P < 0.01). Multiple Logistic regression analyses indicated that weakened exercise tolerance, reduced exercise capacity, atrial fibrillation, anemia, and other blood diseases were the influencing factors of the frailty in elderly patients with type II diabetes. The degree of frailty in elderly patients with diabetes is affected by many factors, such as exercise tolerance, exercise capacity, atrial fibrillation, anemia, and other blood diseases; thus, reasonable intervention should be implemented for elderly patients with type II diabetes according to the influencing factors so as to effectively relieve frailty.

Correlation of physical and cognitive impairment in diabetic and hypertensive frail older adults

BACKGROUND

Diabetes and hypertension are common in older adults and represent established risk factors for frailty. Frailty is a multidimensional condition due to reserve loss and susceptibility to stressors with a high risk of death, hospitalizations, functional and cognitive impairment. Comorbidities such as diabetes and hypertension play a key role in increasing the risk of mortality, hospitalization, and disability. Moreover, frail patients with diabetes and hypertension are known to have an increased risk of cognitive and physical impairment. Nevertheless, no study assessed the correlation between physical and cognitive impairment in frail older adults with diabetes and hypertension.

METHODS

We evaluated consecutive frail older patients with diabetes and hypertension who presented at ASL (local health unit of the Italian Ministry of Health) Avellino, Italy, from March 2021 to October 2021. The inclusion criteria were: a previous diagnosis of diabetes and hypertension with no evidence of secondary causes; age > 65 years; a frailty status; Montreal Cognitive Assessment (MoCA) score < 26.

RESULTS

179 patients successfully completed the study. We found a strong and significant correlation between MoCA score and 5-m gait speed test (r: 0.877; p < 0.001). To further verify our results, we performed a linear multivariate analysis adjusting for potential confounding factors, with MoCA score as dependent variable, which confirmed the significant association with glycemia (p < 0.001).

CONCLUSIONS

This is the first study showing a significant correlation between 5-m gait speed test and MoCA score in frail diabetic and hypertensive older adults.

Optimal Type 2 Diabetes Mellitus Management and Active Ageing

Type two diabetes mellitus (T2DM) represents a chronic condition with increasing prevalence worldwide among the older population. The T2DM condition increases the risk of micro and macrovascular complications as well as the risk of geriatric syndromes such as falls, fractures and cognitive impairment. The management of T2DM in the older population represents a challenge for the clinician, and a Comprehensive Geriatric Assessment should always be prioritized, in order to tailor the glycated hemoglobin target according to functional and cognitive status comorbidities, life expectancy and type of therapy. According to the most recent guidelines, older adults with T2DM should be categorized into three groups: healthy patients with good functional status, patients with complications and reduced functionality and patients at the end of life; for each group the target for glycemic control is different, also according to the type of treatment drug. The therapeutic approach should always begin with lifestyle changes; after that, several lines of therapy are available, with different mechanisms of action and potential effects other than glucose level reduction. Particular interest is growing in sodium-glucose cotransporter-2 inhibitors, due to their effect on the cardiovascular system. In this review, we evaluate the therapeutic options available for the treatment of older diabetic patients, to ensure a correct treatment approach.

The Value of Insulin Degludec in Frail Older Adults with Type 2 Diabetes

Insulin represents a mainstay of glucose-lowering therapy for many adults with type 2 diabetes mellitus (T2DM). Insulin treatments prescribed as standard care for the majority of people with T2DM, such as basal human insulin, may not be optimal in the treatment of frail older adults because of the increased demand on health care staff to administer multiple daily injections and monitor the patient. When choosing an insulin regimen for a frail older person with T2DM, predictability of glucose lowering effect, risk of hypoglycaemia, ease of administration, and simplicity and flexibility of dosing are major determining factors. Multiple daily injections may be too complex for older frail adults, whilst providing an unnecessary degree of tight glycaemic control and low doses of once-daily basal insulin analogues such as insulin degludec may be a reasonable option as cognitive decline or functional disability increases. Although insulin degludec has a substantially higher acquisition cost than routinely used basal human insulin, it has a longer, more predictable pharmacological profile and is more amenable to once-daily administration, translating into a reduced burden of care and potential cost savings for insulin-treated frail older adults. Insulin acquisition cost represents only a small proportion of the total cost of treatment, and it is important to consider the value perspective of insulin therapy in frail older adults from all stakeholders in the health care system.

Type 2 diabetes mellitus in older adults: clinical considerations and management

The past 50 years have seen a growing ageing population with an increasing prevalence of type 2 diabetes mellitus (T2DM); now, nearly half of all individuals with diabetes mellitus are older adults (aged ≥65 years). Older adults with T2DM present particularly difficult challenges. For example, the accentuated heterogeneity of these patients, the potential presence of multiple comorbidities, the increased susceptibility to hypoglycaemia, the increased dependence on care and the effect of frailty all add to the complexity of managing diabetes mellitus in this age group. In this Review, we offer an update on the key pathophysiological mechanisms associated with T2DM in older people. We then evaluate new evidence relating particularly to the effects of frailty and sarcopenia, the clinical difficulties of age-associated comorbidities, and the implications for existing guidelines and therapeutic options. Our conclusions will focus on the effect of T2DM on an ageing society.

The influence of frailty syndrome on quality of life in elderly patients with type 2 diabetes

INTRODUCTION

There have been no comprehensive studies that assess the impact of frailty syndrome on quality of life (QoL) of patients with diagnosed type 2 diabetes. The purpose of the study was to assess the impact of frailty syndrome on QoL and depression symptoms of patients with type 2 diabetes.

METHODS

The study included 148 consecutive patients (aged ≥ 60y). The patients were divided into two groups according to the prevalence of the frailty syndrome: robust and frailty. For all of the patients that were included in the study, we used the Polish version of validated instruments: ADDQoL, TFI and BDI.

RESULTS

In the study group, 43.2% had been diagnosed with frailty syndrome. An analysis of QoL assessment depending on the prevalence of the frailty syndrome showed that patients who were robust (without recognized frailty syndrome) assessed QoL significantly better than patients with coexisting frailty syndrome. Robust patients did not have any severe depressive symptoms, whereas in the group of patients with the frailty syndrome 43.8% of the patients had a depression. 70.2% of the patients without any depressive symptoms were robust patients, meanwhile only 14% of the patients had frailty syndrome recognized.

CONCLUSIONS

Frailty syndrome occurred in 43 percent of the patients with type 2 diabetes. This has a negative impact on QoL of patients. Depression is more common in patients with the frailty syndrome and diabetes.

An analysis of frailty and multimorbidity in 20,566 UK Biobank participants with type 2 diabetes

Background

Frailty and multimorbidity are common in type 2 diabetes (T2D), including people <65 years. Guidelines recommend adjustment of treatment targets in people with frailty or multimorbidity. It is unclear how recommendations to adjust treatment targets in people with frailty or multimorbidity should be applied to different ages. We assess implications of frailty/multimorbidity in middle/older-aged people with T2D.

Methods

We analysed UK Biobank participants (n = 20,566) with T2D aged 40–72 years comparing two frailty measures (Fried frailty phenotype and Rockwood frailty index) and two multimorbidity measures (Charlson Comorbidity index and count of long-term conditions (LTCs)). Outcomes were mortality, Major Adverse Cardiovascular Event (MACE), hospitalization with hypoglycaemia or fall/fracture.

Results

Here we show  that choice of measure influences the population identified: 42% of participants are frail or multimorbid by at least one measure; 2.2% by all four measures. Each measure is associated with mortality, MACE, hypoglycaemia, and fall or fracture. The absolute 5-year mortality risk is higher in older versus younger participants with a given level of frailty (e.g. 1.9%, and 9.9% in men aged 45 and 65, respectively, using frailty phenotype) or multimorbidity (e.g. 1.3%, and 7.8% in men with 4 LTCs aged 45 and 65, respectively). Using frailty phenotype, the relationship between higher HbA1c and mortality is stronger in frail compared with pre-frail or robust participants.

Conclusions

Assessment of frailty/multimorbidity should be embedded within routine management of middle-aged and older people with T2D. Method of identification as well as features such as age impact baseline risk and should influence clinical decisions (e.g. glycaemic control).

Development and validation of the type 2 diabetes mellitus 10-year risk score prediction models from survey data

AIMS

In this paper, we demonstrate the development and validation of the 10-years type 2 diabetes mellitus (T2DM) risk prediction models based on large survey data.

METHODS

The Survey of Health, Ageing and Retirement in Europe (SHARE) data collected in 12 European countries using 53 variables representing behavioural as well as physical and mental health characteristics of the participants aged 50 or older was used to build and validate prediction models. To account for strongly unbalanced outcome variables, each instance was assigned a weight according to the inverse proportion of the outcome label when the regularized logistic regression model was built.

RESULTS

A pooled sample of 16,363 individuals was used to build and validate a global regularized logistic regression model that achieved an area under the receiver operating characteristic curve of 0.702 (95% CI: 0.698-0.706). Additionally, we measured performance of local country-specific models where AUROC ranged from 0.578 (0.565-0.592) to 0.768 (0.749-0.787).

CONCLUSIONS

We have developed and validated a survey-based 10-year T2DM risk prediction model for use across 12 European countries. Our results demonstrate the importance of re-calibration of the models as well as strengths of pooling the data from multiple countries to reduce the variance and consequently increase the precision of the results.

Association of Appendicular Skeletal Muscle to Trunk Fat Ratio with Type 2 Diabetes Mellitus in Older Adults

INTRODUCTION

Mounting evidence has demonstrated that skeletal muscle and visceral adiposity play crucial roles in glucose metabolism. The purpose of this study was to investigate whether the appendicular skeletal muscle mass index (ASMI) to trunk fat mass (TFM) ratio (ASMI/TFM) is a more specific and identifiable factor for type 2 diabetes mellitus (T2DM) in older adults than conventional anthropometric measures.

METHODS

This cross-sectional study included 1,370 older adults from the Tianjin Chronic Low-Grade Systemic Inflammation and Health (TCLSIH) cohort. ASMI and TFM were measured by using a bioelectrical impedance analyzer, and T2DM was defined with the criteria of the American Diabetes Association. Odds ratios (ORs) were evaluated using multivariable logistic analysis.

RESULTS

The prevalence of T2DM is 20.0% in this study. The multivariable-adjusted ORs (95% confidence interval) of T2DM for increasing categories of ASMI/TFM, BMI, and waist circumference (WC) were 1.00 (reference), 0.70 (0.49, 1.02), 0.61 (0.42, 0.89), and 0.45 (0.30, 0.67; p for trend <0.0001); 1.00 (reference), 1.15 (0.83, 1.60), and 1.37 (0.94, 2.01; p for trend = 0.10); and 1.00 (reference) and 1.78 (1.19, 2.74; p < 0.01), respectively.

CONCLUSIONS

Higher ASMI/TFM was associated with a lower prevalence of T2DM in this study of older adults. The T2DM predictive value of ASMI/TFM may be stronger than BMI and WC in this population.

Use of Anti-Dementia Drugs Reduces the Risk of Potentially Inappropriate Medications: A Secondary Analysis of a Nationwide Survey of Prescribing Pharmacies

AIMS

As the number of older people with dementia increases, safe pharmacotherapy in this population has attracted attention in recent years. The aims of this study were to clarify the prescribing patterns in older patients who were prescribed anti-dementia drugs and to investigate the association of potentially inappropriate medications (PIMs) with the use of anti-dementia drugs.

METHODS

Adults aged ≥65 years, who were prescribed anti-dementia drugs at 585 pharmacies across Japan (N = 7,953), were surveyed. The percentage of prescriptions of anti-dementia drugs and the effect of those prescriptions on PIMs were investigated.

RESULTS

Prescriptions of anti-dementia drugs were found in 4.4% of the entire study population. A multiple logistic regression analysis revealed that the use of anti-dementia drugs reduced the risk of prescribing psychotropic drugs, which represented PIMs, and that a combination of anti-dementia drugs (e.g., cholineesterase inhibitor with memantine) may reduce the risk of prescribing PIMs compared with monotherapy.

CONCLUSION

The use of anti-dementia drugs was associated with fewer prescriptions of drugs considered as PIMs.

Device-measured physical activity and its association with physical function in adults with type 2 diabetes mellitus

AIM

To quantify how differences in metrics characterizing physical activity and sedentary behaviour in type 2 diabetes are associated with physical function.

METHODS

This analysis included participants' data from the Chronotype of Patients with Type 2 Diabetes and Effect on Glycaemic Control (CODEC) cross-sectional study. Data were stratified into two groups according to their short physical performance battery (SPPB) score (impaired physical function = SPPB < 10 and normal physical function = SPPB ≥ 10). Hand-grip strength, sit-to-stand 60 (STS-60) and the Duke Activity Status Index (DASI) score were used to assess functional capacity, while physical activity metrics were measured with a wrist-worn accelerometer. The associations between physical activity metrics and measures of functional capacity were analysed using generalized linear modelling.

RESULTS

Some 635 adults (median age 66 years, 34% female) were included in this analysis. Overall, 29% of the cohort scored < 10 in the SPPB test indicating impaired physical function. This group spent more time in prolonged sedentary behaviour (600.7 vs. 572.5 min) and undertook less-intense physical activity. Each sd increase in physical activity volume and intensity gradients for those with impaired physical function was associated with 17% more repetitions for STS-60 with similar associations seen for DASI score. Each sd in sedentary time was associated with 15% fewer repetitions in STS-60 and 16% lower DASI score in those with impaired physical function, whereas in normal physical function group it was 2% and 1%, respectively.

CONCLUSIONS

The strength of the associations for physical activity measures and functional capacity were modified by physical function status, with the strongest association seen in those with impaired physical function.

DIVE/DPV registries: benefits and risks of analog insulin use in individuals 75 years and older with type 2 diabetes mellitus

INTRODUCTION

The aims of this study were to characterize insulin-treated individuals aged ≥75 years with type 2 diabetes using basal insulin analogs (BIA) or regular insulins (human insulin (HI)/neutral protamine Hagedorn (NPH)) and to compare the benefits and risks.

RESEARCH DESIGN AND METHODS

The analysis was based on data from the DPV (Diabetes-Patienten-Verlaufsdokumentation) and DIVE (DIabetes Versorgungs-Evaluation) registries. To balance for confounders, propensity score matching for age, sex, diabetes duration, body mass index and hemoglobin A1c (HbA1c) as covariates was performed.

RESULTS

Among 167 300 patients aged ≥75 years with type 2 diabetes (mean age, 80.3 years), 9601 subjects used insulin regimens with basal insulin (HI/NPH or BIA). Of these 8022 propensity score-matched subjects were identified. The mean diabetes duration was ~12 years and half of the patients were male. At the time of switch, patients provided with BIA experienced more dyslipidemia (89.3% vs 85.9%; p=0.002) and took a greater number of medications (4.3 vs 3.7; p<0.001) and depression was more prevalent (8.4% vs 6.5%; p=0.01). Aggregated to the most actual treatment year, BIA was associated with a higher percentage of patients using basal-supported oral therapy (42.6% vs 14.4%) and intensified conventional insulin therapy (44.3% vs 29.4%) and lower total daily insulin doses (0.24 IU/kg/day vs 0.30 IU/kg/day; p<0.001). The study did not reveal significant differences in efficacy (HbA1c 7.4% vs 7.3%; p=0.06), hospitalizations (0.7 vs 0.8 per patient-year (PY); p=0.15), length of stay (16.3 vs 16.1 days per PY; p=0.53), or rates of severe hypoglycemia (4.07 vs 4.40 per 100 PY; p=0.88), hypoglycemia with coma (3.64 vs 3.26 per 100 PY; p=0.88) and diabetic ketoacidosis (0.01 vs 0.03 per 100 PY; p=0.36).

CONCLUSION

BIA were used in more individually and patient-centered therapy regimens compared with HI/NPH in patients with a mean age of 80 years. Both groups were slightly overtreated with mean HbA1c <7.5%. The risk of severe hypoglycemia was low and independent of insulin type. Further analyses of elderly patients with type 2 diabetes are needed to provide evidence for best practice approaches in this age group.

Hypoglycemia in Older Adults: Time Trends and Treatment Differences in Patients Aged ≥75 Years With Type 2 Diabetes

OBJECTIVES

Hypoglycemia is a potentially life-threatening drug event under antidiabetic treatment. The aim of the study was to examine time trends in severe hypoglycemia in older adults with type 2 diabetes mellitus (T2DM) and antidiabetic treatment.

DESIGN

Multicenter prospective diabetes patient follow-up registry (DPV).

SETTING AND PARTICIPANTS

Patients aged ≥75 years with T2DM and documented treatment between 2005 and 2019.

METHODS

Outcomes of interest were rates of severe hypoglycemia, diabetes therapy, body mass index, HbA1c, and estimated glomerular filtration rate. Time trends of outcomes were analyzed in the whole cohort and compared between age groups (75-<80, 80-<85, ≥85 years).

RESULTS

A total of 136,931 patients from 188 diabetes centers were included. The adjusted HbA1c decreased from 7.3% (95% confidence interval 7.3-7.4) in 2005 to 7.2% (7.2-7.2) in 2019 (P < .001), with no significant difference between age groups (P = .47). Rates of severe hypoglycemia decreased from 6.7 (6.0-7.4) to 4.1 of 100 person-years (3.7-4.5) (P < .001) in the entire population. Patients aged ≥85 years had constantly lower HbA1c levels compared with younger groups (P < .001). Although severe hypoglycemia decreased the most in the ≥85 age group (P < .001), severe hypoglycemia remained consistently higher in this group compared with the 75 to <80 years group (P < .001).

CONCLUSIONS AND IMPLICATIONS

During the analyzed time, the risk for severe hypoglycemia decreased. Although drugs with intrinsic risk for hypoglycemia were used less frequently, antidiabetic treatment in older adults should be further improved to continue reducing severe hypoglycemia in this age group, potentially accepting less strict metabolic control and age-specific target ranges.

The relationship between frailty and diabetes: An investigation of self-rated health, depression symptoms and quality of life in the Study of Health Aging and Retirement in Europe

AIMS

To assess the impact of diabetes and frailty on self-rated health, depressive symptoms and quality of life (QoL).

METHODS

Data were pooled for participants aged ≥50 years from five waves of the Survey of Health, Ageing and Retirement in Europe. Measures included diabetes (self-reported), physical frailty (≥3/5 criteria), low self-rated health (SRH; "poor" or "fair"), depression (screened using the EURO-D ≥4) and low QoL (CASP-12 <35). Logistic regression was used to adjust for confounding.

RESULTS

Participants with diabetes (n=11,661/97,691) were more likely to be older (68 vs. 64 years, p<0.001), male (50% vs. 45%, p<0.001) and frail (21% vs. 8%, p<0.001). Age, sex, diabetes and frailty were all independently associated with low SRH, depression and low QoL. Frailty had the highest adjusted odds ratios for low SRH (9.43; 95% CI:8.89-10.02), depression (6.39; 95% CI:6.07-6.71) and low QoL (9.65; 95% CI:9.17-10.16). For diabetes, the adjusted odds ratios were 2.82 (2.70-2.95), 1.49 (1.42-1.56) and 1.67 (1.60-1.74), respectively. Participants with both diabetes and frailty reported the worst self-rated health, the most depression symptoms and the lowest QoL.

CONCLUSIONS

Frailty was prevalent in older people with diabetes and independently associated with low self-rated health, depressive symptoms and low QoL. Prompt identification and management of frailty should be a key consideration in diabetes care.

Prescription of glucose-lowering therapies and risk of COVID-19 mortality in people with type 2 diabetes: a nationwide observational study in England

BACKGROUND

In patients with type 2 diabetes, hyperglycaemia is an independent risk factor for COVID-19-related mortality. Associations between pre-infection prescription for glucose-lowering drugs and COVID-19-related mortality in people with type 2 diabetes have been postulated but only investigated in small studies and limited to a few agents. We investigated whether there are associations between prescription of different classes of glucose-lowering drugs and risk of COVID-19-related mortality in people with type 2 diabetes.

METHODS

This was a nationwide observational cohort study done with data from the National Diabetes Audit for people with type 2 diabetes and registered with a general practice in England since 2003. Cox regression was used to estimate the hazard ratio (HR) of COVID-19-related mortality in people prescribed each class of glucose-lowering drug, with covariate adjustment with a propensity score to address confounding by demographic, socioeconomic, and clinical factors.

FINDINGS

Among the 2 851 465 people with type 2 diabetes included in our analyses, 13 479 (0·5%) COVID-19-related deaths occurred during the study period (Feb 16 to Aug 31, 2020), corresponding to a rate of 8·9 per 1000 person-years (95% CI 8·7-9·0). The adjusted HR associated with recorded versus no recorded prescription was 0·77 (95% CI 0·73-0·81) for metformin and 1·42 (1·35-1·49) for insulin. Adjusted HRs for prescription of other individual classes of glucose-lowering treatment were as follows: 0·75 (0·48-1·17) for meglitinides, 0·82 (0·74-0·91) for SGLT2 inhibitors, 0·94 (0·82-1·07) for thiazolidinediones, 0·94 (0·89-0·99) for sulfonylureas, 0·94 (0·83-1·07) for GLP-1 receptor agonists, 1·07 (1·01-1·13) for DPP-4 inhibitors, and 1·26 (0·76-2·09) for α-glucosidase inhibitors.

INTERPRETATION

Our results provide evidence of associations between prescription of some glucose-lowering drugs and COVID-19-related mortality, although the differences in risk are small and these findings are likely to be due to confounding by indication, in view of the use of different drug classes at different stages of type 2 diabetes disease progression. In the context of the COVID-19 pandemic, there is no clear indication to change prescribing of glucose-lowering drugs in people with type 2 diabetes.

FUNDING

None.

Diabetes and Frailty: An Expert Consensus Statement on the Management of Older Adults with Type 2 Diabetes

Prognosis and appropriate treatment goals for older adults with diabetes vary greatly according to frailty. It is now recognised that changes may be needed to diabetes management in some older people. Whilst there is clear guidance on the evaluation of frailty and subsequent target setting for people living with frailty, there remains a lack of formal guidance for healthcare professionals in how to achieve these targets. The management of older adults with type 2 diabetes is complicated by comorbidities, shortened life expectancy and exaggerated consequences of adverse effects from treatment. In particular, older adults are more prone to hypoglycaemia and are more vulnerable to its consequences, including falls, fractures, hospitalisation, cardiovascular events and all-cause mortality. Thus, assessment of frailty should be a routine component of a diabetes review for all older adults, and glycaemic targets and therapeutic choices should be modified accordingly. Evidence suggests that over-treatment of older adults with type 2 diabetes is common, with many having had their regimens intensified over preceding years when they were in better health, or during more recent acute hospital admissions when their blood glucose levels might have been atypically high, and nutritional intake may vary. In addition, assistance in taking medications, as often occurs in later life following implementation of community care strategies or admittance to a care home, may dramatically improve treatment adherence, leading to a fall in glycated haemoglobin (HbA1c) levels. As a person with diabetes gets older, simplification, switching or de-escalation of the therapeutic regimen may be necessary, depending on their level of frailty and HbA1c levels. Consideration should be given, in particular, to de-escalation of therapies that may induce hypoglycaemia, such as sulphonylureas and shorter-acting insulins. We discuss the use of available glucose-lowering therapies in older adults and recommend simple glycaemic management algorithms according to their level of frailty.

Impact of Multidomain Lifestyle Intervention on Frailty Through the Lens of Deficit Accumulation in Adults with Type 2 Diabetes Mellitus

BACKGROUND

Type 2 diabetes and obesity increase the accumulation of health deficits and may accelerate biological aging. Multidomain lifestyle interventions may mitigate against this.

METHODS

Within a large, randomized clinical trial of intensive lifestyle intervention including caloric restriction, increased physical activity, dietary counseling, and risk factor monitoring compared with diabetes support and education, we examined the accumulation of health deficits across 8 years. We used two complementary frailty indices (FIs) based on deficit accumulation, one modeled on work in the Systolic Blood Pressure Intervention Trial and the other including additional deficits related to obesity and type 2 diabetes mellitus. Differences between intervention groups and their consistency among subgroups were assessed with re-randomization tests.

RESULTS

Data from 4,859 adults (45-76 years at baseline, 59% female) were analyzed. Random assignment to intensive lifestyle intervention was associated with lower FI scores throughout follow-up as captured by areas under curves traced by longitudinal means (p ≤ .001), over which time mean (SE) differences between intervention groups averaged 5.8% (0.9%) and 5.4% (0.9%) for the two indices. At year 8, the percentage of participants classified as frail (FI > 0.21) was lower among intensive lifestyle intervention (39.8% and 54.5%) compared with diabetes support and education (42.7% and 60.9%) for both FIs (both p < .001). Intervention benefits were relatively greater for participants who were older, not obese, and without history of cardiovascular disease at baseline.

CONCLUSIONS

Eight years of multidomain lifestyle intervention create a buffer against the accumulation of age-related health deficits in overweight or obese adults with type 2 diabetes.ClinicalTrials.gov Identifier: NCT00017953.

Cardiovascular outcomes and safety with linagliptin, a dipeptidyl peptidase-4 inhibitor, compared with the sulphonylurea glimepiride in older people with type 2 diabetes: A subgroup analysis of the randomized CAROLINA trial

AIM

To compare the cardiovascular (CV) safety of linagliptin with glimepiride in older and younger participants in the CAROLINA trial in both prespecified and post hoc analyses.

MATERIALS AND METHODS

People aged 40 to 85 years with relatively early type 2 diabetes, inadequate glycaemic control and elevated CV risk were randomly assigned to linagliptin 5 mg or glimepiride 1 to 4 mg. The primary endpoint was time to first occurrence of three-point major adverse CV events (MACE: CV death, non-fatal myocardial infarction, or non-fatal stroke). We evaluated clinical and safety outcomes across age groups.

RESULTS

Of 6033 participants, 50.7% were aged <65 years, 35.3% were aged 65 to 74 years, and 14.0% were aged ≥75 years. During the 6.3-year median follow-up, CV/mortality outcomes did not differ between linagliptin and glimepiride overall (hazard ratio [HR] for three-point MACE 0.98, 95.47% confidence interval [CI] 0.84, 1.14) or across age groups (interaction P >0.05). Between treatment groups, reductions in glycated haemoglobin were comparable across age groups but moderate-to-severe hypoglycaemia was markedly reduced with linagliptin (HR 0.18, 95% CI 0.15, 0.21) with no differences among age groups (P = 0.23). Mean weight was -1.54 kg (95% CI -1.80, -1.28) lower for linagliptin versus glimepiride. Adverse events increased with age, but were generally balanced between treatment groups. Significantly fewer falls or fractures occurred with linagliptin.

CONCLUSIONS

Linagliptin and glimepiride were comparable for CV/mortality outcomes across age groups. Linagliptin had significantly lower risk of hypoglycaemia and falls or fractures than glimepiride, including in "older-old" individuals for whom these are particularly important treatment considerations.

Rates, determinants and success of implementing deprescribing in people with type 2 diabetes: A scoping review

BACKGROUND

Individualizing goals for people with type 2 diabetes may result in deintensification of medication, but a comprehensive picture of deprescribing practices is lacking.

AIMS

To conduct a scoping review in order to assess the rates, determinants and success of implementing deprescribing of glucose-, blood pressure- or lipid-lowering medications in people with diabetes.

METHODS

A systematic search on MEDLINE and Embase between January 2007 and January 2019 was carried out for deprescribing studies among people with diabetes. Outcomes were rates of deprescribing related to participant characteristics, the determinants and success of deprescribing, and its implementation. Critical appraisal was conducted using predefined tools.

RESULTS

Fourteen studies were included; eight reported on rates, nine on determinants and six on success and implementation. Bias was high for studies on success of deprescribing. Deprescribing rates ranged from 14% to 27% in older people with low HbA1c levels, and from 16% to 19% in older people with low systolic blood pressure. Rates were not much affected by age, gender, frailty or life expectancy. Rates were higher when a reminder system was used to identify people with hypoglycaemia, which led to less overtreatment and fewer hypoglycaemic events. Most healthcare professionals accepted the concept of deprescribing but differed on when to conduct it. Deprescribing glucose-lowering medications could be successfully conducted in 62% to 75% of participants with small rises in HbA1c .

CONCLUSIONS

Deprescribing of glucose-lowering medications seems feasible and acceptable, but was not widely implemented in the covered period. Support systems may enhance deprescribing. More studies on deprescribing blood pressure- and lipid-lowering medications in people with diabetes are needed.