Hypoglycemia unawareness in older compared with middle-aged patients with type 2 diabetes

Time in range-A new gold standard in type 2 diabetes research?

Glycated haemoglobin (HbA1c) is currently the gold standard outcome measure for type 2 diabetes trials. Time in range is a continuous glucose monitoring (CGM) metric defined as the proportion of time in euglycemia (3.9-10.0 mmol/L) and may be valuable not only in type 1 diabetes clinical trials but also as an endpoint in type 2 diabetes trials. This narrative review aimed to assess the relative merits of time in range versus HbA1c as outcome measures for type 2 diabetes studies. It reviews the strengths and limitations of time in range as an outcome measure and evaluates studies in type 2 diabetes that have used time in range as a primary or secondary outcome measure. A literature search was conducted on PubMed and MEDLINE databases using key terms "time in range" AND "diabetes" OR "type 2 diabetes mellitus". Further evidence was obtained from relevant references of retrieved articles. Literature search identified 247 papers, of which 110 were included in this review. These included a broad range of articles, including 45 randomized trials using time in range as an outcome measure in patients with type 2 diabetes, as well as papers validating time in range. Time in range provides valuable and clinically relevant information and should be used as an important endpoint in type 2 diabetes in clinical trial settings, in conjunction with HbA1c.

Excessive Burden of Hyperglycemia Along With Hypoglycemia in Long-Term Care Facilities Identified by Continuous Glucose Monitoring

OBJECTIVES

Recommendations for diabetes care in long-term care facilities (LTC) focus on the avoidance of hypoglycemia and symptomatic hyperglycemia. Using continuous glucose monitoring (CGM), we evaluated the current state of glycemia in LTC residents with multiple comorbidities.

DESIGN

Cross-sectional prospective observational study.

SETTINGS AND PARTICIPANTS

Participants with diabetes on 1 or more glucose-lowering medications residing in 1 of 8 LTC facilities in Ohio and Michigan.

METHODS

A masked Dexcom G6 pro CGM was placed for 10 days on LTC residents. Clinical and demographic information was collected from medical records.

RESULTS

Sixty-five residents [median age 68 years (range 44-84 years), 51% female, 100% with type 2 diabetes] completed the study. Overall, 68% of the cohort used insulin and 64% were on non-insulin agents (11% on sulfonylurea). The mean A1c of the cohort was 7.2% ± 1.5%. CGM data showed 26% of the cohort with ≥1% time spent in hypoglycemia (time <70 mg/dL). A larger burden of severe hyperglycemia (sensor glucose >250 mg/dL) was seen, with 52% of the cohort spending >10% time, 37% spending >25%, and 18% spending >50% time in severe hyperglycemia. The cohort had a median of 13 comorbid conditions, taking 19 medications daily, with 86% having functional disabilities and 63% reporting a recent fall. Fifty-four percent of the cohort had a body mass index (BMI) >30 kg/m2 and 22% had a BMI >40 kg/m2.

CONCLUSIONS AND IMPLICATIONS

In this multimorbid cohort of residents with diabetes living in LTC facilities, we identified a high burden of both hypoglycemia and severe hyperglycemia, despite optimal control of A1c. More consistent use of CGM may help to identify glycemic excursions and actionable glucose patterns to improve therapeutic decision-making by clinicians.

Associations of fluctuations in blood glucose and insulin with hypoglycemic symptoms

Associations between fluctuations in blood glucose levels and medically unexplained symptoms, such as palpitations, numbness in the extremities, dizziness, and drowsiness, have been a topic of debate for an extended period; however, consensus remains elusive. We therefore examined the associations of blood glucose and insulin levels with symptoms by performing a 5 h glucose tolerance test in patients without diabetes with complaints. A total of 139 (54 men and 85 women, mean age 35.4 years) were included in this study. Blood glucose and insulin levels were measured before and at 15, 30, 60, 90, 120, 150, 180, 240, and 300 min after a 10-h fast and 75 g glucose load. The insulin index was used to divide the participants into early, intermediate, and delayed insulin secretion groups. Hypoglycemic symptoms (neuroglycopenic: warmth, drowsiness, weakness, fainting, decreased thinking ability, and dizziness) and autonomic symptoms (neurogenic: palpitations, cold sweats, anxiety/nervousness, tremors, hunger, and tingling) were evaluated separately. Hypoglycemia (< 70 mg/dL (3.9 mmol/L)) occurred at 240-300 min in 92% of all patients, with hypoglycemic and autonomic symptoms. Hypoglycemic symptoms increased over time and were highest at 240 min, while autonomic symptoms decreased significantly for 15 min and increased at 240 and 300 min. Although hypoglycemic symptoms were not significantly different among the early, intermediate, and delayed secretion groups, the incidence rates of autonomic symptoms were higher in the early insulin secretion group than in the other groups at 30-60-90 min. The characteristics of the early insulin secretion group suggested that symptoms were associated with not only blood glucose levels but also the timing of insulin secretion. Further studies are needed to determine whether dietary interventions tailored to insulin secretion profiles can alleviate these symptoms.

A Qualitative Study of Older Adult Perspectives on Continuous Glucose Monitoring for Type 2 Diabetes

BACKGROUND

Continuous glucose monitoring (CGM) may improve self-management and reduce hypoglycemia risk among individuals with diabetes. However, little is known about how older adults with insulin-treated type 2 diabetes (T2D) experience and incorporate this technology into their daily lives.

OBJECTIVE

To explore experiences, preferences, barriers, and questions related to using CGM among older adults with insulin-treated T2D with and without experience using CGM.

DESIGN

Qualitative focus group study.

PARTICIPANTS

English-speaking older adults with T2D in a large, integrated healthcare delivery system. Groups included either experienced CGM users or adults who had not previously used CGM. Recruitment efforts prioritized individuals ≥ 75 years of age.

APPROACH

Transcripts were analyzed using the Framework Method to identify perspectives on CGM. Specific thematic categories were hypoglycemia-related benefits, general benefits, usefulness and ease of use concerns, and CGM questions.

KEY RESULTS

The study included 26 participants: 17 (65%) were experienced CGM users, 58% were female; median age was 74 (range 62-88) years. Participants perceived and anticipated these CGM benefits: informing behavior changes, reducing in-the-moment hypoglycemia risk, improving awareness and decision-making, and strengthening clinician collaboration. Perceived CGM barriers included challenges with wearability and reliability, burdens to others, distrust of technology, sensory and learning challenges, insufficient clinician support or engagement, and access and payer hurdles. Despite these downsides, experienced users perceived CGM as a worthwhile alternative to daily fingerstick glucose checks. Non-users were able to formulate many usability questions, providing a snapshot of informational needs for this age group.

CONCLUSIONS

Older adults with insulin-treated T2D experienced or anticipated benefits from CGM for diabetes management. Findings indicate a need for tailored education and self-management support for older adults to learn and gain maximal benefit from this technology.

Impact of Sodium-Glucose Co-Transporter-2 (SGLT2) Inhibitors on Nocturnal Polyuria: A Cross-Sectional Study

AIM

The aim of this study was to investigate the impact of sodium-glucose cotransporter 2 (SGLT2) inhibitors on nocturnal polyuria. Additionally, this study aimed to compare the short-acting SGLT2 inhibitor tofogliflozin and other SGLT2 inhibitors.

METHODS

A questionnaire was administered to 142 patients undergoing treatment for type 2 diabetes to assess the presence of nocturnal polyuria.

RESULTS

Among the 69 patients not taking SGLT2 inhibitors (Non-SGLT2-I Group), 41 (59.4%) reported no nocturnal polyuria, while 28 (40.6%) reported its presence. In contrast, among the 73 patients taking SGLT2 inhibitors (SGLT2-I Group), 34 (46.6%) reported no nocturnal polyuria, whereas 39 (53.4%) reported it. Further categorization of the SGLT2-I Group into those taking tofogliflozin (Tofo Group, 23 patients) and those using other SGLT2 inhibitors (Other SGLT2-I Group, 50 patients) revealed the following: In the Tofo Group, 15 (65.2%) patients reported no nocturnal polyuria, while eight (34.8%) did. In the Other SGLT2-I Group, 19 (38%) patients reported no nocturnal polyuria, while 31 (62%) reported it. A comparison between the Non-SGLT2-I and the Other SGLT2-I groups showed a significantly higher occurrence of nocturnal polyuria in the latter (p = 0.026). Furthermore, in the comparison between the Tofo Group and the Other SGLT2-I Group, the latter showed a significantly higher incidence of nocturnal polyuria (p = 0.043).

CONCLUSIONS

Tofogliflozin is less likely to exacerbate nocturnal polyuria compared to other SGLT2 inhibitors.

Intermittent Use of Flash Glucose Monitoring Improves Glycemic Control in Chinese Older Patients with Type 2 Diabetes Mellitus

OBJECTIVE

To explore the efficacy and safety of intermittent use of flash glucose monitoring (FGM) for improving glycemic control in Chinese elderly patients with type 2 diabetes mellitus (T2DM).

METHODS

This is a prospective observational study involving patients with T2DM aged ≥60 years. The study period spans 12 weeks, with participants wearing FGM at weeks 0, 5, and 10. Participants were divided into two subgroups based on HbA1c at enrollment: < 7.0% and ≥7.0%. The primary outcome of the study was HbA1c level. Secondary outcomes included time in range (3.9-10mmol/L) (TIR), time below range (<3.9mmol/L) (TBR), time above range (>10.0mmol/L) (TAR), and glycemic variability (GV).

RESULTS

A total of 68 patients completed the 12-week FGM follow-up (age 67.9 ± 5.2 years; BMI 25.4 ± 3.3kg/m²). Overall findings revealed that compared to baseline, HbA1c decreased from 7.81 ± 1.25% to 7.44±1.10% after 12 weeks of intermittent wearing of FGM (p <0.001). In the subgroup analysis with HbA1c ≥7.0%, the results showed a significant reduction in HbA1c of 0.51mmol/L after 12 weeks (8.36 ± 0.95% vs 7.75 ± 0.97%, p < 0.001). And there was a significant reduction in TBR in the subgroup with HbA1c < 7% (p = 0.028). Multiple linear regression analysis showed that the baseline HbA1c (β = -0.529, P<0.001), duration of T2DM (β = 0.341, P = 0.001), and the frequency of sensor use (β = -0.269, P = 0.043) were associated with the reduction in HbA1c level.

CONCLUSION

Intermittent use of FGM is associated with an improvement in glycemic outcomes and reduces the risk of hypoglycemia in Chinese elderly patients with T2DM.

Risk of hypoglycaemia among people with type 2 diabetes not treated with insulin: A retrospective analysis of Medicare Advantage beneficiaries

AIMS

In 2022, the Centers for Medicare & Medicaid Services released proposed changes to Medicare's continuous glucose monitoring (CGM) coverage policy, making individuals with a history of problematic hypoglycaemia eligible for CGM coverage, irrespective of insulin use. This study estimated the burden of hypoglycaemia in Medicare Advantage beneficiaries with noninsulin-treated type 2 diabetes (T2D).

MATERIALS AND METHODS

We retrospectively analysed US healthcare claims data using Optum's deidentified Clinformatics® database. Noninsulin-treated beneficiaries were identified in the 16 years from January 2007 to March 2023. Hypoglycaemia-related encounters (HREs) were those accompanied by a hypoglycaemia-specific ICD-9/10 diagnosis code in any position on the claim or the first or second position. HREs following the first claim related to T2D were reported by setting (ambulatory or inpatient/emergency department [ED]).

RESULTS

HREs were identified in 689,853 (21.4%) of 3,229,695 noninsulin-treated Medicare Advantage beneficiaries, of whom 82.9% (n = 571,581) had ≥1 HRE in an ambulatory location and 26.8% (n = 184,833) in an ED/inpatient location. Use of sulfonylurea (odds ratio [OR]: 4.33 confidence interval [CI: 4.27-4.38]), evidence of end-stage kidney disease (OR: 2.87 [CI: 2.79-2.94]), hypertension (OR: 3.09 [CI: 3.04-3.15]) and retinopathy (OR: 2.94 [CI: 2.82-3.07]) were the strongest predictors of an HRE (p < 0.001).

CONCLUSIONS

These findings show that HREs are prevalent in noninsulin-treated diabetes and identify a large number of patients who may benefit from CGM. Because >80% of HREs occur in the ambulatory setting and >70% occur in patients not taking sulfonylureas, primary care providers should be aware of the latest eligibility criteria for Medicare's coverage of CGM and not restrict this technology to their sulfonylurea-treated patients.

Unraveling the Therapeutic Potential of Muscle Strengthening Exercises for Reversing Diabetes Mellitus

BACKGROUND

Millions of people worldwide are affected by the serious consequences of diabetes mellitus, which is a major global health concern. We analyze the possibility of muscle- strengthening activities as an appropriate therapeutic strategy for controlling the progression of diabetes mellitus in this comprehensive review. In this review, we explore the molecular processes underlying the glucose uptake in skeletal muscle, revealing how exercise can improve insulin sensitivity and glucose homeostasis.

METHODOLOGY

Articles published between 2010 and 2023 were analyzed in detail by using bibliographic databases like PubMed, Medline, and Scopus. The most commonly searched terms were "muscle strengthening exercises," "diabetes mellitus," "insulin resistance," "glucose uptake," "skeletal muscle," and even "exercise therapy." The inclusion criteria were randomized controlled trials, observational studies, and systematic reviews. This allowed for the selection of sources that were related to the topic at hand and were reliable.

RESULTS

This review highlights the benefits of exercise for diabetes mellitus, elucidating the positive effects of acute and regular exercise on glucose uptake in skeletal muscle. It also analyzes the impact of various exercise modalities, including aerobic and resistance exercises, on glucose metabolism in individuals with and without type 2 diabetes. Furthermore, this review examines the effectiveness of combining aerobic and resistance training for optimal diabetes management.

CONCLUSION

Our analysis reveals promising evidence supporting the role of resistance training in diabetes mellitus reversal. Regular resistance exercise has been shown to improve glycemic control, insulin sensitivity, and muscle function in individuals with type 2 diabetes. Combining aerobic and resistance exercises appears to be more effective than single-mode training in managing blood glucose levels and enhancing overall metabolic health. However, potential contraindications for exercise in diabetes patients, along with barriers to implementing resistance training, warrant careful consideration.

6. Glycemic Goals and Hypoglycemia: Standards of Care in Diabetes-2025

The American Diabetes Association (ADA) "Standards of Care in Diabetes" includes the ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, an interprofessional expert committee, are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations and a full list of Professional Practice Committee members, please refer to Introduction and Methodology. Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.

Sulfonylurea prescription patterns in elderly patients with type 2 diabetes mellitus: A comprehensive analysis of real-world data from pharmacies in Japan

AIMS/INTRODUCTION

The study aim was to investigate sulfonylurea prescription patterns in elderly patients (age ≥65 years) with type 2 diabetes mellitus in Japan. Sulfonylurea use among older adults has been insufficiently examined, despite the associated risks of hypoglycemia.

MATERIALS AND METHODS

This retrospective cross-sectional survey entailed analysis of Japanese pharmacy data, extracted from the Musubi database, for patients (age 20-100 years) prescribed sulfonylureas between November 2022 and October 2023. Dose distribution, adherence to the Diabetes Treatment Guidelines for the Elderly 2023 and coprescription of other diabetes medications were investigated.

RESULTS

Of the total 91,229 patients, 80.1% were prescribed glimepiride, 16.3% gliclazide and 3.6% glibenclamide. In patients aged ≥65 years, exceeding the recommended dose (>1 mg/day for glimepiride, >40 mg/day for gliclazide) was numerically higher for glimepiride (25.0%) than for gliclazide (7.8%). The most common prescribing patterns were quadruple therapy with a sulfonylurea, a dipeptidyl peptidase-4 inhibitor, an sodium-glucose transporter 2 inhibitor and a biguanide in patients aged 65 to <75 years, and dual therapy with a sulfonylurea and a dipeptidyl peptidase-4 inhibitor in patients aged ≥75 years. Unfortunately, glinide was coprescribed for 338 (0.5%) of elderly patients. Insulin was coprescribed for 3,682 (5.6%) of elderly patients.

CONCLUSIONS

Analysis of real-world sulfonylurea prescription data found guideline non-adherence, namely, excessive prescription of glimepiride, use of glibenclamide in elderly patients, and common coprescription with dipeptidyl peptidase-4 inhibitors. These findings might provide an opportunity to reconsider the treatment of patients with type 2 diabetes mellitus who are over-prescribed sulfonylureas to reduce residual risks, such as hypoglycemia.

Increase Access, Reduce Disparities: Recommendations for Modifying Medicaid CGM Coverage Eligibility Criteria

Numerous studies have demonstrated the clinical value of continuous glucose monitoring (CGM) in type 1 diabetes (T1D) and type 2 diabetes (T2D) populations. However, the eligibility criteria for CGM coverage required by the Centers for Medicare & Medicaid Services (CMS) ignore the conclusive evidence that supports CGM use in various diabetes populations that are currently deemed ineligible. In an earlier article, we discussed the limitations and inconsistencies of the agency's CGM eligibility criteria relative to current scientific evidence and proposed practice solutions to address this issue and improve the safety and care of Medicare beneficiaries with diabetes. Although Medicaid is administered through CMS, there is no consistent Medicaid policy for CGM coverage in the United States. This article presents a rationale for modifying and standardizing Medicaid CGM coverage eligibility across the United States.

Continuous Glucose Monitoring in Older Adults: What We Know and What We Have Yet to Learn

OBJECTIVE

To assess the growing use of continuous glucose monitoring (CGM) systems by older adults and explore additional areas integration that could benefit adults with frailty.

BACKGROUND

The use of CGM devices has expanded rapidly in the last decade. This has been supported by substantial data showing significant benefit in glycemic metrics: hemoglobin A1c improvements, less hypoglycemia, and improved quality of life. However, sub-populations, such as older persons, exist where available data are limited. Furthermore, frail older adults represent a heterogeneous population with their own unique challenges to the management of diabetes. This group has some of the poorest outcomes related to the sequela of diabetes. For example, hypoglycemia resulting in significant morbidity and mortality is more frequent in older person with diabetes than in younger persons with diabetes.

METHOD

We present a concise literature review on CGM use in the older adult as well as expand upon glycemic and nonglycemic benefits of CGM for patients, caregivers, and providers. Retrospective analysis of inpatient glycemic data of 16,935 older adults with Type 2 diabetes mellitus at Atrium Health Wake Forest Baptist indicated those with fraility managed with insulin or sulfonylurea had the highest rates of delirium (4.8%), hypoglycemia (3.5%), cardiovascular complications (20.2%) and ED visits/hospitalizatoins (49%). In addition, we address special consideration of specific situations including inpatient, palliative and long term care settings.

CONCLUSION

This review article summarizes the available data for CGM use in older adults, discusses the benefits and obstacles with CGM use in this population, and identifies areas of future research needed for improved delivery of care to older persons with diabetes.

Use of continuous glucose monitoring in insulin-treated older adults with type 2 diabetes

BACKGROUND

Few studies have reported the adherence to and efficacy of continuous glucose monitoring (CGM) for improving diabetes management in insulin-treated older adults with type 2 diabetes mellitus (T2DM).

METHODS

Prospective observational cohort study using FreeStyle Libre Flash CGM in insulin-treated adults > 65 years with T2DM and HbA1c between 7% and 9%. The participants wore the CGM during the 6-weeks study period. The primary outcome was time in range (TIR) between 70 and 180 mg/dL. Secondary outcomes included time below range (TBR), glycemic variability (GV), adherence, and use of glucose data for self-insulin adjustment. Linear regressions with random effects verified the changes in TBR, TIR, time above range (TAR), GV, and GMI across the three visits using CGM (baseline, 4 weeks and 6 weeks), controlled for sex, age, educational level, and health system (private or public).

RESULTS

A total of 66 participants completed the six weeks of CGM (age 72·8 ± 5·3 years; BMI 27·8 ± 3·6 kg/m2), HbA1c: 8·0 ± 0·6%, with an overall sensor utilization of 93·1 ± 6·0%. We observed a stability in TIR (baseline: 63.5 ± 18.9% vs. endpoint: 65.5 ± 18.8%; β = 1,0, p = 0.190). Despite the low TBR at the baseline, we observed statistically significant reduction over the study period (baseline: 5.8 ± 7.0% vs. endpoint: 3.8 ± 4.7%; (β=-1.00, p = 0.008). Glucose variability also reduced from the baseline (34.9 ± 7.2%) to the endpoint (33.0 ± 6.8%) (β=-0.99, p = < 0.001).

CONCLUSION

FreeStyle Libre Flash CGM is well accepted by older adults with T2DM and allows participants to make therapeutic decisions to reduce TBR and glycemic variability.

Latent Profile Analysis of Fear of Hypoglycemia in Middle-Aged and Elderly Hospitalized Patients with Type 2 Diabetes and Its Relationship with Sleep Quality

Introduction

Hypoglycemia is an acute complication that can appear in people with type 2 diabetes treated with drugs which are associated with a risk of hypoglycemia, and it may lead to individual's fear of hypoglycemia (FoH). FoH adversely affects diabetic self-management, psychological well-being, and quality of life, and it is associated with sleep quality. Nevertheless, this problem is often underestimated. The purpose of this study was to explore the heterogeneous characteristics of FoH in middle-aged and elderly hospitalized patients with type 2 diabetes and assess its relationship with the sleeping quality.

Patients and Methods

A cross-sectional study was performed on 263 middle-aged and elderly patients with type 2 diabetes hospitalized at the Zhejiang Veteran Hospital in Jiaxing, China, from May to August 2022, selected by a convenient sampling method. A questionnaire containing general information, fear of hypoglycemia scale-15 (FH-15) and the Pittsburgh sleep quality index (PSQI) was provided to the participants. Latent profile analysis was performed to examine the potential latent groups in the distribution of answers on the individual FoH items.

Results

The results identified three latent classes: Class 1 - Low FoH group (33%); Class 2 - No FoH group (61%); Class 3 - High FoH group (6%). The latent FoH class was the influencing factor of sleep quality, which was better in the No FoH group than in the Low FoH group, while the sleep quality of the Low FoH group was better than that in the High FoH group.

Conclusion

A heterogeneity was found in the FoH of middle-aged and elderly hospitalized patients with type 2 diabetes. Health-care providers should pay more attention to these patients with high FoH and develop intervention strategies to mitigate it and improve their sleep quality.

Guideline Development for Medical Device Technology: Issues for Consideration

Advances in the development of innovative medical devices and telehealth technologies create the potential to improve the quality and efficiency of diabetes care through collecting, aggregating, and interpreting relevant health data in ways that facilitate more informed decisions among all stakeholder groups. Although many medical societies publish guidelines for utilizing these technologies in clinical practice, we believe that the methodologies used for the selection and grading of the evidence should be revised. In this article, we discuss the strengths and limitations of the various types of research commonly used for evidence selection and grading and present recommendations for modifying the process to more effectively address the rapid pace of device and technology innovation and new product development.

Prevalence and contributing factors of impaired awareness of hypoglycemia in patients with type 2 diabetes: a meta-analysis

AIMS

To conduct a systematic review to summarize the definition, measurement tools, prevalence, and contributing factors of impaired awareness of hypoglycemia (IAH) in type 2 diabetes mellitus (T2DM).

METHODS

A reproducible search strategy was used to identify factors affecting IAH in T2DM in PubMed, MEDLINE, EMBASE, Cochrane, PsycINFO, and CINAHL from inception until 2022. Literature screening, quality evaluation, and information extraction were performed independently by 2 investigators. A meta-analysis of prevalence was performed using Stata 17.0.

RESULTS

The pooled prevalence of IAH in patients with T2DM was 22% (95%CI:14-29%). Measurement tools included the Gold score, Clarke's questionnaire, and the Pedersen-Bjergaard scale. IAH in T2DM was associated with sociodemographic factors (age, BMI, ethnicity, marital status, education level, and type of pharmacy patients visited), clinical disease factors (disease duration, HbAlc, complications, insulin therapy regimen, sulfonylureas use, and the frequency and severity of hypoglycemia), and behavior and lifestyle (smoking and medication adherence).

CONCLUSION

The study found a high prevalence of IAH in T2DM, with an increased risk of severe hypoglycemia, suggesting that medical workers should take targeted measures to address sociodemographic factors, clinical disease, and behavior and lifestyle to reduce IAH in T2DM and thus reduce hypoglycemia in patients.

Expert Recommendations for Using Time-in-Range and Other Continuous Glucose Monitoring Metrics to Achieve Patient-Centered Glycemic Control in People With Diabetes

New metrics for assessing glycemic control beyond HbA1c have recently emerged due to the increasing use of continuous glucose monitoring (CGM) in diabetes clinical practice. Among them, time in range (TIR) has appeared as a simple and intuitive metric that correlates inversely with HbA1c and has also been newly linked to the risk of long-term diabetes complications. The International Consensus on Time in Range established a series of target glucose ranges (TIR, time below range and time above range) and recommendations for time spent within these ranges for different diabetes populations. These parameters should be evaluated together with the ambulatory glucose profile (AGP). Using standardized visual reporting may help people with diabetes and healthcare professionals in the evaluation of glucose control in frequent clinical situations. The objective of the present review is to provide practical insights to quick interpretation of patient-centered metrics based on flash glucose monitoring data, as well as showing some visual examples of common clinical situations and giving practical recommendations for their management.

The association between dementia and the risk of hypoglycaemia events among patients with diabetes mellitus: a propensity-score matched cohort analysis

Background

Hypoglycaemia commonly occurs in patients diagnosed with diabetes mellitus (DM) and dementia. The impact of dementia on hypoglycaemic events is controversial. Thus, we evaluated whether dementia increases the risk of hypoglycaemic events in older patients diagnosed with DM.

Design

A retrospective cohort study.

Setting

We used the IQVIA Medical Research Data (IMRD-UK) database (formerly known as the THIN database).

Participants

All patients aged ≥55 years and diagnosed with DM who were prescribed at least two prescriptions of antidiabetic medication between 2000 and 2017. Two groups of patients, dementia and non-dementia group, were propensity-score (PS) matched at 1:2. The risk of hypoglycaemia was assessed through a Cox regression analysis.

Main outcome and measures

Hypoglycaemic events were determined during the follow-up period by Read codes.

Results

From the database, 133,664 diabetic patients were identified, with a mean follow-up of 6.11 years. During the study period, 7,762 diabetic patients diagnosed with dementia were matched with 12,944 diabetic patients who had not been diagnosed with dementia. The PS-matched Cox regression analysis showed that patients diagnosed with dementia were at a 2-fold increased risk for hypoglycaemic events compared with those not diagnosed with dementia (hazard ratio [HR], 2.00; 95% CI, 1.63-2.66). A similar result was shown for a multivariable analysis using all patient data (adjusted HR, 2.25; 95% CI, 2.22-2.32).

Conclusion

Our findings suggest that diabetic patients with a diagnosis of dementia have a statistically significant higher risk of experiencing hypoglycaemia.

Dementia in Diabetes: The Role of Hypoglycemia

Hypoglycemia, a common consequence of diabetes treatment, is associated with severe morbidity and mortality and has become a major barrier to intensifying antidiabetic therapy. Severe hypoglycemia, defined as abnormally low blood glucose requiring the assistance of another person, is associated with seizures and comas, but even mild hypoglycemia can cause troubling symptoms such as anxiety, palpitations, and confusion. Dementia generally refers to the loss of memory, language, problem-solving, and other cognitive functions, which can interfere with daily life, and there is growing evidence that diabetes is associated with an increased risk of both vascular and non-vascular dementia. Neuroglycopenia resulting from a hypoglycemic episode in diabetic patients can lead to the degeneration of brain cells, with a resultant cognitive decline, leading to dementia. In light of new evidence, a deeper understating of the relationship between hypoglycemia and dementia can help to inform and guide preventative strategies. In this review, we discuss the epidemiology of dementia among patients with diabetes, and the emerging mechanisms thought to underlie the association between hypoglycemia and dementia. Furthermore, we discuss the risks of various pharmacological therapies, emerging therapies to combat hypoglycemia-induced dementia, as well as risk minimization strategies.

Potential cost savings in the United States from a reduction in sensor-detected severe hypoglycemia among users of the InPen smart insulin pen system

BACKGROUND: Severe hypoglycemia is a significant barrier to optimizing insulin therapy in both type 1 and type 2 diabetes and places a burden on the US health care system because of the high costs of hypoglycemia-related health care utilization. OBJECTIVE: To compare the frequency of sensor-detected severe hypoglycemic events (SHEs) among a population of continuous glucose monitoring (CGM) users on insulin therapy after initiation of the InPen smart insulin pen (SIP) system and to estimate the potential hypoglycemia-related medical cost savings across a population of SIP users. METHODS: SIP users of all ages with type 1 or type 2 diabetes were required to have at least 90 days of SIP use with a connected CGM device. The last 14 days of sensor glucose (SG) data within the 30-day period prior to the start of SIP use ("pre-SIP") and the last 14 days of SG data, along with the requirement of at least 1 bolus entry per day within the 61- to 90-day period after SIP start ("post-SIP"), were analyzed. Sensor-detected SHEs (defined as ≥10 minutes of consecutive SG readings at <54 mg/dL) were determined. Once factored, the expected medical intervention rates and associated costs were calculated. Intervention rates and costs were obtained from the literature. RESULTS: There were 1,681 SIP + CGM users from March 1, 2018, to April 30, 2021. The mean number of sensor-detected SHEs per week declined from 0.67 in the pre-SIP period to 0.58 in the post-SIP period (P = 0.008), which represented a 13% reduction. Assuming a range of 5%-25% of all sensor-detected SHEs resulted in a clinical event, the estimated cost reduction associated with reduced SHEs was $12-$59 and $110-$551 per SIP user per month and per year, respectively. For those aged at least 65 years, there were 166 SIP+CGM users and the reduction in the mean number of sensor-detected SHEs per week between the pre-SIP and post-SIP periods was 31%. CONCLUSIONS: Use of the SIP system with a connected CGM is associated with reduced sensor-detected severe hypoglycemia, which may result in significant cost savings. DISCLOSURES: Albert Chien, Glen Im, Kael Wherry, Janice MacLeod, and Robert A Vigersky are employees of Medtronic; Sneha Thanasekaran and Angela Gaetano were affiliated with Medtronic while doing this research. The submitted work did not involve study subject recruitment, enrollment, or participation in a trial and did not fall under human subject protection requirements (per the Department of Health and Human Services CFR Part 46) necessitating Internal Review Board approval or exemption.

Assessment of Glucose Monitoring Adherence in Medicare Beneficiaries with Insulin-Treated Diabetes

Background: We investigated the potential associations between race/ethnicity and adherence to prescribed glucose monitoring in a sample of Medicare beneficiaries with diabetes and how adherence to the method used impacted diabetes-related inpatient hospitalizations and associated costs among beneficiaries with intensive insulin-treated diabetes. Methods: This 12-month retrospective analysis utilized Centers for Medicare & Medicaid Services data to identify Medicare beneficiaries who used intensive insulin therapy from January through December 2018 and classified them into four groups: (1) persons using real-time continuous glucose monitoring (rtCGM), (2) persons using any method of blood glucose monitoring (BGM) who followed prescribed use patterns (adherent), (3) persons who were prescribed BGM but were nonadherent in its use, and (4) no record of any form of BGM. Analyses compared these groups and the role that comorbidities (Charlson Comorbidity Index [CCI]), and race/ethnicity played on group assignment, diabetes-related inpatient hospitalizations, and costs. Results: Among the 1,329,061 persons assessed, 38.14% had no record of glucose monitoring and 35.42% were BGM nonadherent. Similarly, among the 629,514 beneficiaries with a CCI risk score of ≥2, 466,646 (74.13%) were either nonadherent to BGM or had no monitoring record. The percentage of White (3.65%) rtCGM adherent beneficiaries was significantly larger than Black (1.58%) and Hispanic (1.28%) beneficiaries, both P < 0.0001. Hospitalizations and costs were higher for Black and Hispanic beneficiaries versus Whites within the risk score ≥ 2 group regardless of glucose monitoring method. Conclusions: Race is associated with increased hospitalizations and costs associated with diabetes care and absence of any form of BGM was associated with higher rates of comorbidities. Persons of color were less likely to use rtCGM despite Medicare coverage. New initiatives that promote diabetes self-management education and support services are needed to improve utilization of glucose monitoring within the Medicare diabetes population.

[Geriatric aspects for the management of diabetes mellitus (Update 2023)]

There is a high prevalence of diabetes mellitus in the elderly population of industrial countries. The present article provides recommendations for the screening, prevention and treatment of elderly diabetic patients according to current scientific evidence.

Is Chinese Spring Festival a key point for glycemic control of patients with type 2 diabetes mellitus in China?

Objectives

This study aims to explore the long-term trend of fasting blood glucose (FBG) among urban patients with type 2 diabetes mellitus (T2DM) and the impacts of the Chinese Spring Festival on their glycemic control in urban China.

Methods

The general information and longitudinal monitoring data of patients with T2DM in Minhang District, Shanghai China from 15 December 2006 to 31 December 2015 were collected. The FBG records were grouped into three periods, namely, the preholiday period (2 months right before the Chinese Spring Festival), the holiday period (from 28 December to 7 January of the lunar calendar year), and the postholiday period (2 months after the Chinese Spring Festival). The Mann-Kendall trend test and Cochran-Armitage trend test were occupied to explore the long-term trend, and paired t-test and chi-square (χ²) test were used to determine the differences in glycemic level and control rate between the preholiday and postholiday periods, respectively.

Results

From 2007 to 2015, the glycemic control rate in patients with T2DM showed an upward trend (P < 0.001), and the FBG level showed a decreasing trend (P = 0.048). After the Chinese Spring Festival, the glycemic control rate decreased significantly (P < 0.001), and the FBG level increased significantly (P < 0.001) compared to those during the preholiday period. The incidence of hypoglycemia increased during holidays. Patients who were aged 60-69 years, overweight or obese, with hypertension, with a disease duration of <3 years, or with poor glycemic control in one previous year were more likely to be affected by the holiday.

Conclusion

Chinese Spring Festival is a key point for glycemic control of patients with T2DM in China. Intensive holiday-specific diabetic healthcare needs to be further improved, and community-based interventions should be developed and implemented to control the possible holiday effects.

The Importance of Continuous Glucose Monitoring-derived Metrics Beyond HbA1c for Optimal Individualized Glycemic Control

CONTEXT

Current guidelines recommend assessing glycemic control using continuous glucose monitoring (CGM) and hemoglobin A1c (HbA1c) measurement.

OBJECTIVE

This study aimed to clarify the characteristics of patients who might benefit from CGM metrics in addition to HbA1c monitoring.

METHODS

CGM metrics, specifically time in range (TIR), time below range (TBR), and time above range (TAR), were determined in 999 outpatients with type 2 diabetes and compared between HbA1c categories (HbA1c < 53 mmol/mol [7.0%, HbA1c <  53], HbA1c 53-63 mmol/mol [7.0-7.9%, HbA1c 53-63], HbA1c 64-74 mmol/mol [8.0-8.9%, HbA1c 64-74], and HbA1c ≥ 75 mmol/mol [9.0%, HbA1c ≥  75]) and between patients with identical HbA1c categories who were stratified by age, types of antidiabetic agents, and renal function.

RESULTS

For HbA1c <  53 category, patients aged ≥ 65 years had a significantly higher nocturnal TBR than those aged < 65 years. For HbA1c <  53 and HbA1c 53-63 categories, patients receiving insulin and/or sulfonylureas had a significantly higher TAR and TBR, and a lower TIR than those not receiving these drugs, and for HbA1c 64-74 category, they had a significantly higher TBR. For HbA1c <  53, HbA1c 53-63, and HbA1c 64-74 categories, patients with an estimated glomerular filtration rate (eGFR) < 60 mL/min/1.73 m2 had a significantly higher TBR during some periods than those with an eGFR ≥ 60.

CONCLUSION

Higher HbA1c levels do not always protect against hypoglycemic episodes. Our data demonstrate that using CGM metrics to complement HbA1c monitoring is beneficial, especially in older people, users of insulin and/or sulfonylureas, and patients with chronic kidney disease.

High incidence of undetected low sensor glucose events among elderly patients with type 2 diabetes more than a decade on after the ACCORD study

OBJECTIVE

Hypoglycaemia leads to significant morbidity and impacts negatively on quality-of-life, especially in elderly people with increased frailty. The aims of this study were to determine the prevalence of low interstitial fluid glucose (IFG) in patients with tightly controlled type 2 diabetes (T2D), and to evaluate whether there were differences in burden of low IFG between sulphonylurea and insulin treated groups.

METHODS

A Freestyle Libre-Pro sensor was used for sampling of the IFG continuously. Patients were blinded to the IFG levels. The sensor was returned to the investigators after a 2-week period and the data were downloaded for analysis.

RESULTS

There was a total of 69 patients (median age 72 years (IQR = 69-74)) - 40 were sulfonylurea-treated and 29 insulin-treated. In total, 781 low sensor glucose events (<4.0 mmol/L) were detected, of which 254 were very low sensor glucose events (<2.8 mmol/L). Twenty-six out of 29 insulin-treated (89.6%) and 36 out of 40 sulphonylurea-treated patients (90%) contributed to the 781 events of low sensor glucose. Twenty out of 29 insulin-treated (69%) and 26 out of 40 sulphonylurea-treated patients (65.0%) contributed to the 254 very low sensor glucose events. Only 9% of all events were identified by patients. Nocturnal events represented 55.8% of low sensor glucose events and 61.0% of very low sensor glucose events. At a cut-off of <2.8 mmol/L, it was found that the insulin group had a significantly greater number of such events as compared to the sulfonylurea group.

CONCLUSIONS

This study demonstrates that elderly patients with tightly-controlled T2D have a significant number of low sensor glucose events which go by undetected.

Sleep deprivation prevents counterregulatory adaptation to recurrent hypoglycaemia

AIMS/HYPOTHESIS

Attenuated counterregulation after recurrent hypoglycaemia is a major complication of diabetes treatment. As there is previous evidence for the relevance of sleep in metabolic control, we assessed the acute contribution of sleep to the counterregulatory adaptation to recurrent hypoglycaemia.

METHODS

Within a balanced crossover design, 15 healthy, normal-weight male participants aged 18-35 years underwent three hyperinsulinaemic-hypoglycaemic clamps with a glucose nadir of 2.5 mmol/l, under two experimental conditions, sleep and sleep deprivation. Participants were exposed to two hypoglycaemic episodes, followed by a third hypoglycaemic clamp after one night of regular 8 h sleep vs sleep deprivation. The counterregulatory response of relevant hormones (glucagon, growth hormone [GH], ACTH, cortisol, adrenaline [epinephrine] and noradrenaline [norepinephrine]) was measured, and autonomic and neuroglycopenic symptoms were assessed.

RESULTS

Sleep deprivation compared with sleep dampened the adaptation to recurrent hypoglycaemia for adrenaline (p=0.004), and this pattern also emerged in an overall analysis including adrenaline, GH and glucagon (p=0.064). After regular sleep, the counterregulatory responses of adrenaline (p=0.005), GH (p=0.029) and glucagon (p=0.009) were attenuated during the 3rd clamp compared with the 1st clamp, but were preserved after sleep deprivation (all p>0.225). Neuroglycopenic and autonomic symptoms during the 3rd clamp compared with the 1st clamp were likewise reduced after sleep (p=0.005 and p=0.019, respectively). In sleep deprivation, neuroglycopenic symptoms increased (p=0.014) and autonomic symptoms were unchanged (p=0.859).

CONCLUSIONS/INTERPRETATION

The counterregulatory adaptation to recurrent hypoglycaemia is compromised by sleep deprivation between hypoglycaemic episodes, indicating that sleep is essential for the formation of a neurometabolic memory, and may be a potential target of interventions to treat hypoglycaemia unawareness syndrome.

The agreement between measured HbA1c and optimized target HbA1c based on the Dementia Assessment Sheet for Community-based Integrated Care System 8-items (DASC-8): A cross-sectional study of elderly patients with diabetes

AIM

To investigate the achievement of individualized target HbA1c based on the Japanese guideline after geriatric assessment with the Dementia Assessment Sheet for Community-based Integrated Care System 8-items (DASC-8) and to evaluate patient characteristics acting as barriers to achieving the target HbA1c in elderly outpatients with diabetes.

METHODS

This cross-sectional study enrolled 303 Japanese outpatients aged ≥65 years with diabetes. Their health status was measured using the DASC-8. The target HbA1c was optimized for each patient by the guideline based on the DASC-8 score and use of drugs potentially associated with severe hypoglycemia. Patient characteristics related to the agreement between measured HbA1c and target HbA1c were extracted by multivariate logistic regression analysis.

RESULTS

The mean age was 73.0 years and the mean body mass index (BMI) was 24.2 kg/m² . The agreement between measured HbA1c and target HbA1c was 43.9% (95% confidence interval: 38.4%-50.0%). In multivariate logistic regression analysis, the agreement in patients with drugs potentially associated with severe hypoglycemia was significantly lower than in those without these drugs (37.8% vs. 60.5%, P = 0.0004). In patients with these drugs, higher BMI (P = 0.0271) and higher fasting plasma glucose (P = 0.0034) were independent related factors for measured HbA1c being higher than target HbA1c. Vulnerable elderly patients (P = 0.0116) and not taking sodium glucose co-transporter-2 (SGLT2) inhibitor (P = 0.0186) were independent related factors for inappropriately lower HbA1c.

CONCLUSIONS

The agreement between measured HbA1c and target HbA1c was low in elderly patients with diabetes. Geriatr Gerontol Int 2022; ••: ••-••.

Motivation for Treatment Correlating Most Strongly with an Increase in Satisfaction with Type 2 Diabetes Treatment

INTRODUCTION

We previously reported several factors that cross-sectionally correlate with treatment satisfaction in Japanese patients with type 2 diabetes visiting diabetes clinics. The aim of this study is to identify factors associated with longitudinal changes in treatment satisfaction in patients with type 2 diabetes.

METHODS

The study included 649 patients with type 2 diabetes treated with oral glucose-lowering agents who completed the first questionnaire in 2016. The collected data included scores from the Diabetes Treatment Satisfaction Questionnaire (DTSQ) and other parameters regarding diabetes treatment. We analyzed 1-year longitudinal changes in DTSQ scores and investigated factors associated with these changes.

RESULTS

Univariate linear regression analyses showed that changes in body weight, adherence to diet therapy, adherence to exercise therapy, cost burden, motivation for treatment, regularity of mealtimes, and perceived hypoglycemia correlated with changes in DTSQ scores. On the basis of multiple linear regression analyses, a decrease in hypoglycemia (β ± SE = - 0.394 ± 0.134, p = 0.0034), cost burden (β ± SE = - 0.934 ± 0.389, p = 0.017), and an increase in treatment motivation (β ± SE = 1.621 ± 0.606, p = 0.0077) correlated with DTSQ score increases, suggesting that motivation for treatment had the strongest impact on score increases. Subgroup analyses revealed that an increase in motivation for treatment most significantly correlated with a DTSQ score increase in obese and poor glycemic control groups, regardless of age.

CONCLUSION

This is the first longitudinal study clarifying that an increase in motivation for treatment most strongly correlates with an increase in DTSQ score in patients with type 2 diabetes.

A Cross-Sectional study on risk factors for severe hypoglycemia among Insulin-Treated elderly type 2 diabetes Mellitus (T2DM) patients in Singapore

OBJECTIVE

This study investigates the risk factors for severe hypoglycemia among Southeast Asian T2DM patients.

METHODS

Insulin-treated T2DM patients greater than 65 years old with HbA1c < 8% were recruited. They completed questionnaires detailing their experience of hypoglycemia and presence of impaired hypoglycemia awareness (IAH). Data on insulin treatment regimens, glycated haemoglobin (Hba1c) and comorbidities were also collected.

RESULTS

Of the 92 participants, 15.2% had at least one episode of severe hypoglycemia over the past year. Comparison between both groups showed that patients with severe hypoglycemia had lower Hba1c, higher Gold score (3.9 ± 1.9 vs. 2.5 ± 1.4; p < .05) and higher Hypoglycemia Fear Survey (HFS) worry score (39.1 ± 14.3 vs. 31.8 ± 11.8; p < .05). There were no significant differences in duration of diabetes and insulin treatment, treatment regimens and diabetes associated comorbidities except peripheral vascular disease. Furthermore, no significant differences were noted in HFS behavior score, hypoglycemia risk modifying behavior and social economic status.

CONCLUSIONS

Patients with severe hypoglycemia had tighter glycemic control, greater IAH and higher worry scores regardless of treatment regimens. Clinicians may play a significant role in tightening glycemic control and influencing the risk of severe hypoglycemia. Standard structured diabetes education may help reduce the risk of severe hypoglycemia among this group of patients.

Effects of Teneligliptin on HbA1c levels, Continuous Glucose Monitoring-Derived Time in Range and Glycemic Variability in Elderly Patients with T2DM (TEDDY Study)

BACKGROUND

To evaluate the effects of teneligliptin on glycosylated hemoglobin (HbA1c) levels, continuous glucose monitoring (CGM)-derived time in range, and glycemic variability in elderly type 2 diabetes mellitus patients.

METHODS

This randomized, double-blinded, placebo-controlled study was conducted in eight centers in Korea (clinical trial registration number: NCT03508323). Sixty-five participants aged ≥65 years, who were treatment-naïve or had been treated with stable doses of metformin, were randomized at a 1:1 ratio to receive 20 mg of teneligliptin (n=35) or placebo (n=30) for 12 weeks. The main endpoints were the changes in HbA1c levels from baseline to week 12, CGM metrics-derived time in range, and glycemic variability.

RESULTS

After 12 weeks, a significant reduction (by 0.84%) in HbA1c levels was observed in the teneligliptin group compared to that in the placebo group (by 0.08%), with a between-group least squares mean difference of -0.76% (95% confidence interval [CI], -1.08 to -0.44). The coefficient of variation, standard deviation, and mean amplitude of glycemic excursion significantly decreased in participants treated with teneligliptin as compared to those in the placebo group. Teneligliptin treatment significantly decreased the time spent above 180 or 250 mg/dL, respectively, without increasing the time spent below 70 mg/dL. The mean percentage of time for which glucose levels remained in the 70 to 180 mg/dL time in range (TIR70-180) at week 12 was 82.0%±16.0% in the teneligliptin group, and placebo-adjusted change in TIR70-180 from baseline was 13.3% (95% CI, 6.0 to 20.6).

CONCLUSION

Teneligliptin effectively reduced HbA1c levels, time spent above the target range, and glycemic variability, without increasing hypoglycemia in our study population.

Use of Real-Time Continuous Glucose Monitoring Improves Glycemic Control and Other Clinical Outcomes in Type 2 Diabetes Patients Treated with Less Intensive Therapy

Objective: Use of real-time continuous glucose monitoring (rtCGM) has been shown to improve glycemic control in patients with type 2 diabetes (T2D) who are treated with intensive insulin therapy. However, most T2D patients are denied coverage for rtCGM due to failure to meet payer eligibility requirements: treatment with ≥3 insulin injections (or pump) and history of 4 × /day blood glucose testing. We investigated the relevance of these criteria to successful rtCGM use. Methods: This 6-month, prospective, interventional, single-arm study assessed the clinical effects of use rtCGM in patients with T2D treated with basal insulin only or noninsulin therapy. Primary outcomes were changes in HbA1c, average glucose, glycemic variability (% coefficient of variation), and percent of time in range (%TIR), below range (%TBR) and above range (%TAR). Results: Thirty-eight patients were included in the analysis (10.1% ± 1.8% HbA1c, 54.7 ± 10.2 years, 35.6 ± 6.4 body mass index). At 6 months, we observed reductions in HbA1c (-3.0% ± 1.3%, P < 0.001) and average glucose (-23.6 ± 38.8, P < 0.001). %TIR increased 15.2 ± 22.3, from 57.0 ± 29.9 to 72.2 ± 23.6, P < 0.001, with all patients maintaining %TBR targets (<4% at 70 mg/dL, <1% at <54 mg/dL). No changes in glycemic variability were observed. The greatest improvements in %TIR and %TAR were seen in patients treated with ≤1 medication. Conclusions: rtCGM use was associated with significant glycemic improvements in T2D patients treated with basal insulin only or noninsulin therapy. Given the growing body of evidence supporting rtCGM use in this population, insurance eligibility criteria should be modified to expand rtCGM use by T2D patients treated with less intensive therapies.

Frequent and severe hypoglycaemia detected with continuous glucose monitoring in older institutionalised patients with diabetes

BACKGROUND

Little is known about the prevalence of hypoglycaemia in older people with diabetes. However, the HbA1c goal is ≥8% for institutionalised patients with treatments that can cause hypoglycaemia.

PURPOSE

We aimed to assess the prevalence of hypoglycaemia with continuous glucose monitoring and to evaluate the link with HbA1C in older institutionalised patients with diabetes taking potentially hypoglycaemia-inducing drugs.

DESIGN

Prospective, multicentre study carried out in six geriatric care centres in the Côte d'Or region of France between January 2019 and July 2020.

SETTINGS, SUBJECTS AND METHODS

A FreeStyle Libre Pro® (FSLP) was worn for up to 14 days in blinded mode in 42 patients taking at least one potentially hypoglycaemia-inducing antidiabetic drug.

RESULTS

Two hundred and forty-two hypoglycaemic events were detected in 79% (n = 33) of patients wearing the FSLP. One or more hypoglycaemic event was detected in 100% of patients with HbA1C < 7% and in 79% of patients with HbA1C ≥ 8% (P = 0.02). The time spent in hypoglycaemia was higher in patients with HbA1C < 7% than those with HbA1C ≥ 8% (P = 0.015). Time spent <54 mg/dl was detected in 45% of patients.

CONCLUSIONS

We report a very high prevalence of hypoglycaemia, with a significant proportion of severe hypoglycaemia, in older institutionalised patients with diabetes taking potentially hypoglycaemia-inducing drugs. Having HbA1C < 7% exposes patients to a higher risk of hypoglycaemia, but this risk remains also high in patients with HbA1C ≥ 8%. In this population, continuous glucose monitoring could be considered an effective tool to detect hypoglycemia, which is associated with increased risk of cardiovascular events, falling, fractures, cognitive impairment and mortality.

Association between glycemic control and cardiovascular events in older Japanese adults with diabetes mellitus: An analysis of the Japanese medical administrative database

AIMS/INTRODUCTION

The relationship between glycated hemoglobin (HbA1c) and cardiovascular events in older adults was investigated using a Japanese administrative medical database.

MATERIALS AND METHODS

Anonymized medical data on patients with diabetes mellitus aged ≥65 years for the period from January 2010 to December 2019 were extracted from the EBM Provider database. The primary end-point was a composite of cardiovascular events, whereas the other end-points included severe hypoglycemia and fracture. The association between cardiovascular events and HbA1c at the index date (i.e., approximately 10 months after initial diabetes mellitus diagnosis) was evaluated using the Cox proportional hazards model.

RESULTS

Among the 3,186,751 patients in the database, 3,946 older adults with diabetes mellitus were eligible for inclusion and were subsequently grouped according to HbA1c quartiles at the index date. Cardiovascular events occurred in 142 patients. Patients with HbA1c in the highest quartile had significantly higher risk of hospitalization for cardiovascular disease than those with HbA1c in the lowest quartile (hazard ratio 1.948; 95% confidence interval 1.252-3.031, P = 0.003). However, the events risk was similar across subgroups with HbA1c <7.2%. The incidence of hypoglycemia and fracture was not significantly associated with the level of glycemic control.

CONCLUSIONS

Among older adults with diabetes mellitus, those with poor glycemic control were at higher risk for cardiovascular events compared with those with better glycemic control. However, strict glycemic control had no effect on cardiovascular risk in patients with HbA1c <7.2%.

Lost in Translation: A Disconnect Between the Science and Medicare Coverage Criteria for Continuous Subcutaneous Insulin Infusion

Numerous studies have demonstrated the clinical value and safety of insulin pump therapy in type 1 diabetes and type 2 diabetes populations. However, the eligibility criteria for insulin pump coverage required by the Centers for Medicare & Medicaid Services (CMS) discount conclusive evidence that supports insulin pump use in diabetes populations that are currently deemed ineligible. This article discusses the limitations and inconsistencies of the insulin pump eligibility criteria relative to current scientific evidence and proposes workable solutions to address this issue and improve the safety and care of all individuals with diabetes.

Identifying patients at increased risk of hypoglycaemia in primary care: Development of a machine learning-based screening tool

INTRODUCTION

In primary care, identifying patients with type 2 diabetes (T2D) who are at increased risk of hypoglycaemia is important for the prevention of hypoglycaemic events. We aimed to develop a screening tool based on machine learning to identify such patients using routinely available demographic and medication data.

METHODS

We used a cohort study design and the Groningen Initiative to ANalyse Type 2 diabetes Treatment (GIANTT) medical record database to develop models for hypoglycaemia risk. The first hypoglycaemic event in the observation period (2007-2013) was the outcome. Demographic and medication data were used as predictor variables to train machine learning models. The performance of the models was compared with a model using additional clinical data using fivefold cross validation with the area under the receiver operator characteristic curve (AUC) as a metric.

RESULTS

We included 13,876 T2D patients. The best performing model including only demographic and medication data was logistic regression with least absolute shrinkage and selection operator, with an AUC of 0.71. Ten variables were included (odds ratio): male gender (0.997), age (0.990), total drug count (1.012), glucose-lowering drug count (1.039), sulfonylurea use (1.62), insulin use (1.769), pre-mixed insulin use (1.109), insulin count (1.827), insulin duration (1.193), and antidepressant use (1.05). The proposed model obtained a similar performance to the model using additional clinical data.

CONCLUSION

Using demographic and medication data, a model for identifying patients at increased risk of hypoglycaemia was developed using machine learning. This model can be used as a tool in primary care to screen for patients with T2D who may need additional attention to prevent or reduce hypoglycaemic events.

Evolving Use of Continuous Glucose Monitoring Beyond Intensive Insulin Treatment

Numerous studies have demonstrated the clinical benefits of continuous glucose monitoring (CGM) use in individuals with type 1 diabetes and type 2 diabetes (T2D) who are treated with intensive insulin therapy. A growing body of evidence suggests that CGM use may also confer similar glycemic benefits in T2D individuals who are treated with less-intensive therapies. Investigators are also exploring the potential use of CGM as an aid in weight management. This article reviews the continuing evolution of CGM, focusing on how CGM may be used to improve glycemic control and promote adoption of desired health behaviors within broader T2D and prediabetes populations.

What's Wrong with This Picture? A Critical Review of Current Centers for Medicare & Medicaid Services Coverage Criteria for Continuous Glucose Monitoring

Numerous studies have demonstrated the clinical value of continuous glucose monitoring (CGM) in type 1 diabetes and type 2 diabetes populations. However, the eligibility criteria for CGM coverage required by the Centers for Medicare & Medicaid Services (CMS) ignore conclusive evidence that supports CGM use in various diabetes populations that are currently deemed ineligible. This article discusses the limitations and inconsistencies of the CMS eligibility criteria relative to current scientific evidence and proposes workable solutions to address this issue and improve the safety and care of all individuals with diabetes.

Continuous Glucose Monitoring (CGM) Is a Tool, Not a Reward: Unjustified Insurance Coverage Criteria Limit Access to CGM

Recent studies have demonstrated the clinical utility of continuous glucose monitoring (CGM) use in type 2 diabetes (T2D) patients who are treated with intensive insulin management. Large retrospective database analyses of T2D patients treated with less-intensive therapies have also shown that CGM use was associated with significant reductions in hemoglobin A1c levels and health resource utilization, including diabetes-related hospitalizations and emergency room care. Despite the growing body of evidence supporting CGM use in the broader T2D population, current eligibility criteria required by public and many private insurers are denying millions of individuals with T2D access to this valuable technology. In this article, we discuss an evidence-based rationale for modifying current eligibility requirements for CGM coverage.

The association between hypoglycemia and glycemic variability in elderly patients with type 2 diabetes: a prospective observational study

BACKGROUND

This study aimed to explore predictive factors of time below target glucose range (TBR) ≥ 1% among patients' characteristics and glycemic variability (GV) indices using continuous glucose monitoring data in elderly patients with type 2 diabetes.

METHODS

We conducted a prospective observational study on 179 (71 female) Japanese outpatients with type 2 diabetes aged ≥ 65 years. The characteristics of the participants with TBR ≥ 1% were evaluated by multivariate logistic regression analysis. Receiver-operating characteristic (ROC) curve analyses of GV indices, comprising coefficient of variation (CV), standard deviation, and mean amplitude of glycemic excursions, were performed to identify the optimal index for the identification of patients with TBR ≥ 1%.

RESULTS

In the multivariate logistic regression analysis, none of the clinical characteristics, including HbA1c and C-peptide index, were independent markers for TBR ≥ 1%, while all three GV indices showed significant associations with TBR ≥ 1%. Among the three GV indices, CV showed the best performance based on the area under the curve in the ROC curve analyses.

CONCLUSIONS

Among elderly patients with type 2 diabetes, CV reflected TBR ≥ 1% most appropriately among the GV indices examined. Trial registration UMIN-CTR: UMIN000029993. Registered 16 November 2017.

Utilizing continuous glucose monitoring in primary care practice: What the numbers mean

Use of continuous glucose monitoring (CGM) has been shown to improve glycemia control, reduce hypoglycemia, lower glycemic variability and enhance quality of life for individuals with type 1 diabetes and type 2 diabetes. However, many primary care physicians may be unfamiliar with the how CGM data can interpreted and acted upon. As adoption of this technology continues to grow, primary care physicians will be challenged to integrate CGM into their clinical practices. This article is intended to provide clinicians with practical guidance in interpreting and utilizing CGM data with their patients.

Flash CGM Is Associated With Reduced Diabetes Events and Hospitalizations in Insulin-Treated Type 2 Diabetes

Purpose

Suboptimal glycemic control among individuals with diabetes is a leading cause of hospitalizations and emergency department utilization. Use of flash continuous glucose monitoring (flash CGM) improves glycemic control in type 1 and type 2 diabetes, which may result in lower risk for acute and chronic complications that require emergency services and/or hospitalizations.

Methods

In this retrospective, real-world study, we analyzed IBM MarketScan Commercial Claims and Medicare Supplemental databases to assess the impact of flash CGM on diabetes-related events and hospitalizations in a cohort of 2463 individuals with type 2 diabetes who were on short- or rapid-acting insulin therapy. Outcomes were changes in acute diabetes-related events (ADE) and all-cause inpatient hospitalizations (ACH), occurring during the first 6 months after acquiring the flash CGM system compared with event rates during the 6 months prior to system acquisition. ICD-10 codes were used to identify ADE for hypoglycemia, hypoglycemic coma, hyperglycemia, diabetic ketoacidosis, and hyperosmolarity.

Results

ADE rates decreased from 0.180 to 0.072 events/patient-year (hazard ratio [HR]: 0.39 [0.30, 0.51]; P < 0.001) and ACH rates decreased from 0.420 to 0.283 events/patient-year (HR: 0.68 [0.59 0.78]; P < 0.001). ADE reduction occurred regardless of age or gender.

Conclusions

Acquisition of the flash CGM system was associated with reductions in ADE and ACH. These findings provide support for the use of flash CGM in type 2 diabetes patients treated with short- or rapid-acting insulin therapy to improve clinical outcomes and potentially reduce costs.

Hypoglycaemia in older home-dwelling people with diabetes- a scoping review

BACKGROUND

Hypoglycaemia is associated with cognitive and functional decline in older people with diabetes. Identification of individuals at risk and prevention of hypoglycaemia is therefore an important task in the management of diabetes in older home-dwelling individuals. The purpose of this scoping review was to map the literature on hypoglycaemia in home-dwelling older people with diabetes.

METHODS

This scoping review included original research articles on hypoglycaemia in older (≥ 65 years) individuals with diabetes from developed countries. A broad search of the databases Cinahl, Embase and Medline was performed in July 2018. The report of the scoping review was conducted in accordance with the PRISMA Extension for Scoping Reviews.

RESULTS

Our database search identified 577 articles of which 23 were eligible for inclusion. The identified literature was within four areas: 1) incidence of hypoglycaemia in older home-dwelling people with diabetes (11/23 articles), 2) risk factors of hypoglycaemia (9/23), 3) diabetes knowledge and self-management (6/23) and 4) consequences of hypoglycaemia for health care use (6/23). The majority of the literature focused on severe hypoglycaemia and the emergency situation. The literature on diabetes knowledge and management related to preventing adverse events relevant to older home-dwellers, was limited. We found no literature on long-term consequences of hypoglycaemia for the use of home health care services and the older persons' ability to remain home-dwelling.

CONCLUSIONS

We identified a lack of studies on prevention and management of hypoglycaemia in the older individuals' homes. Such knowledge is of utmost importance in the current situation where most western countries' governmental policies aim to treat and manage complex health conditions in the patient's home. Future studies addressing hypoglycaemia in older individuals with diabetes are needed in order to tailor interventions aiming to enable them to remain home-dwelling as long as possible.

Time in range: A best practice guide for UK diabetes healthcare professionals in the context of the COVID-19 global pandemic

The emergence of continuous glucose monitoring has driven improvements in glycaemic control and quality of life for people with diabetes. Recent changes in access to continuous glucose monitoring systems within UK health services have increased the number of people able to benefit from these technologies. The COVID-19 pandemic has created an opportunity for diabetes healthcare professionals to use continuous glucose monitoring technology to remotely deliver diabetes services to support people with diabetes. This opportunity can be maximized with improved application and interpretation of continuous glucose monitoring-generated data. Amongst the diverse measures of glycaemic control, time in range is considered to be of high value in routine clinical care because it is actionable and is visibly responsive to changes in diabetes management. Importantly, it is also been linked to the risk of developing complications associated with diabetes and can be understood by people with diabetes and healthcare professionals alike. The 2019 International Consensus on Time in Range has established a series of target glucose ranges and recommendations for time spent within these ranges that is consistent with optimal glycaemic control. The recommendations cover people with type 1 or type 2 diabetes, with separate targets indicated for elderly people or those at higher risk from hypoglycaemia, as well as for women with type 1 diabetes during pregnancy. The aim of this best practice guide was to clarify the intent and purpose of these international consensus recommendations and to provide practical insights into their implementation in UK diabetes care.

Severe Hypoglycemia, Cardiac Structure and Function, and Risk of Cardiovascular Events Among Older Adults With Diabetes

OBJECTIVE

To assess the association of severe hypoglycemia measured at baseline with cardiovascular disease (CVD) among community-dwelling older individuals with diabetes, a group particularly susceptible to hypoglycemia.

RESEARCH DESIGN AND METHODS

We included older adults with diabetes from the Atherosclerosis Risk in Communities (ARIC) study who attended visit 5 (2011-2013, baseline). Severe hypoglycemia at baseline was defined with use of first position ICD-9 codes from hospitalizations, emergency department visits, and ambulance calls. We examined cross-sectional associations of severe hypoglycemia with echocardiographic indices of cardiac structure-function. We prospectively evaluated the risks of incident or recurrent CVD (coronary heart disease, stroke, or heart failure) and all-cause mortality, from baseline to 31 December 2018, using negative binomial and Cox regression models.

RESULTS

Among 2,193 participants (mean [SD] age 76 [5] years, 57% female, 32% Blacks), 79 had a history of severe hypoglycemia at baseline. Severe hypoglycemia was associated with a lower left ventricular (LV) ejection fraction (adjusted β-coefficient -3.66% [95% CI -5.54, -1.78]), higher LV end diastolic volume (14.80 mL [95% CI 8.77, 20.84]), higher E-to-A ratio (0.11 [95% CI 0.03, 0.18]), and higher septal E/e' (2.48 [95% CI 1.13, 3.82]). In adjusted models, severe hypoglycemia was associated with incident or recurrent CVD (incidence rate ratio 2.19 (95% CI 1.24, 3.88]) and all-cause mortality (hazard ratio 1.71 [95% CI 1.10, 2.67]) among those without prevalent CVD.

CONCLUSIONS

Our findings suggest that a history of severe hypoglycemia is associated with alterations in cardiac function and is an important marker of future cardiovascular risk in older adults.

A prospective six-month audit of inpatient hypoglycemia in step-down general medical and geriatric wards

This study aimed to assess the incidence and associates of hypoglycemia in patients transferred after stabilization on an Acute Medical Unit to two general medical or two geriatric wards at an urban Australian hospital. In a six-month audit representing 20,284 patient-days of observation, 59 inpatients experienced hypoglycaemia (blood glucose ≤3.9 mmol/L) during 65 hospitalizations. Inpatients experiencing hypoglycemia accounted for 7.2% of all inpatient bed-days, a figure that was greater for general medical (9.2% of bed-days) compared with geriatric (6.0% of bed-days) wards (P<0.001). Inpatient hypoglycemia often had no precipitant such as a missed/delayed meal, occurred disproportionately at night (41% of episodes), was severe (blood glucose ≤3.0 mmol/L) in one-third of cases, and appeared more frequent in patients with psychiatric/cognitive issues. These data highlight the ongoing issue of hypoglycemia in relatively stable inpatients in an era of blood glucose-lowering therapies associated with a low rate of this acute metabolic complication.

[Diabetes complications - diabetes and the nervous system]

Diabetes mellitus is a chronic metabolic disease associated with multiple long-term complications. Besides macro- and microvascular complications, patient's well-being can be severely impaired by complications affecting the nervous system. About 50 % of patients with diabetes suffer from polyneuropathy. Moreover, the risk of developing cognitive impairment and dementia is also increased in older people with diabetes. Insufficient glycemic control, young age at diagnosis of diabetes are discussed as risk factors for developing diabetes complications. The early identification and prevention of factors predicting diabetes complications that affect the nervous system are still challenging and in need for further research.

Implementation of a Behavioral Economics Electronic Health Record (BE-EHR) Module to Reduce Overtreatment of Diabetes in Older Adults

BACKGROUND

Intensive glycemic control is of unclear benefit and carries increased risk for older adults with diabetes. The American Geriatrics Society's (AGS) Choosing Wisely (CW) guideline promotes less aggressive glycemic targets and reduction in pharmacologic therapy for older adults with type II diabetes. Meanwhile, behavioral economic (BE) approaches offer promise in influencing hard-to-change behavior, and previous studies have shown the benefits of using electronic health record (EHR) technology to encourage guideline adherence.

OBJECTIVE

This study aimed to develop and pilot test an intervention that leverages BE with EHR technology to promote appropriate diabetes management in older adults.

DESIGN

A pilot study within the New York University Langone Health (NYULH) EHR and Epic system to deliver BE-inspired nudges at five NYULH clinics at varying time points from July 12, 2018, through October 31, 2019.

PARTICIPANTS

Clinicians across five practices in the NYULH system whose patients were older adults (age 76 and older) with type II diabetes.

INTERVENTIONS

A BE-EHR module comprising six nudges was developed through a series of design workshops, interviews, user-testing sessions, and clinic visits. BE principles utilized in the nudges include framing, social norming, accountable justification, defaults, affirmation, and gamification.

MAIN MEASURES

Patient-level CW compliance.

KEY RESULTS

CW compliance increased 5.1% from a 16-week interval at baseline to a 16-week interval post intervention. From February 14 to June 5, 2018 (prior to the first nudge launch in Vanguard clinics), CW compliance for 1278 patients was mean (95% CI)-16.1% (14.1%, 18.1%). From July 3 to October 22, 2019 (after BE-EHR module launch at all five clinics), CW compliance for 680 patients was 21.2% (18.1%, 24.3%).

CONCLUSIONS

The BE-EHR module shows promise for promoting the AGS CW guideline and improving diabetes management in older adults. A randomized controlled trial will commence to test the effectiveness of the intervention across 66 NYULH clinics.

NIH TRIAL REGISTRY NUMBER

NCT03409523.