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

Narrative Review: Continuous Glucose Monitoring (CGM) in Older Adults with Diabetes

INTRODUCTION

Continuous glucose monitoring (CGM) has revolutionised diabetes care, with proven effect on glycaemic control, adverse diabetic events (such as hypoglycaemia and diabetic ketoacidosis) and hospitalisations in the general population. However, the evidence for CGM in older people is less robust.

METHOD

We conducted a narrative review of trials reporting data comparing standard blood glucose monitoring (SBGM) and CGM in adults over 65 with type 1 or type 2 diabetes who were treated with insulin published between 1999 and 2024.

RESULTS

Seventeen studies were identified, including eight retrospective cohort studies and five randomised controlled trials (RCTs). Sixteen of the 17 papers were based in Europe or North America. The studies were highly heterogeneous; however, they provided clear evidence supporting the use of CGM in reducing hypoglycemia in older adults, with potential benefits for overall wellbeing and quality of life..

CONCLUSIONS

Current approaches to diabetes care in older adults may over-rely on HbA1c (haemoglobin A1c) as a measurement of control given accuracy may be reduced in older adults and propensity for hypoglycaemia. Although goals should be personalised, avoidance of hypoglycaemia is a key goal for many older people with diabetes. There is good evidence that CGM can improve time-in-range and reduce hypoglycaemia and glucose variability in older adults. CGM should be considered for older adults as a means of reducing hypoglycaemia and associated potential harm.

Hypoglycemic timeslots after hospital discharge in patients with diabetes on multiple daily insulin injection: Dose of Insulin CHanged According to the Reported Glucose by Libre Pro (DISCHARGe study)

INTRODUCTION

Insulin improves clinical outcomes in hospitalized patients; however, hypoglycemia hinders discharge transition in patients with insulin-treated diabetes. Studies on hypoglycemic timeslots, rates, and risk factors during discharge transition are lacking.

MATERIALS AND METHODS

Fifteen patients with type 2 diabetes (T2D) receiving multiple daily insulin (MDI) injections participated. Glucose variability metrics and hypoglycemia were monitored using a continuous glucose monitoring system starting a day pre-discharge through 13 days of discharge transition. Hypoglycemia was analyzed chronobiologically using Cosinor analysis. Anthropometric measurements, C-peptide, insulin dose, and glucagon were assessed.

RESULTS

The mean patient age was 52.7 ± 12.6 years; 13/15 were male; body mass index was 28.1 ± 5.9 kg/m2, T2D duration was 8.6 ± 8.8 years, HbA1c was 12.4 ± 2.5%, and total daily insulin dose averaged 36.6 ± 15.1 units and hospitalization lasted 13.1 ± 2.3 days. Time in range decreased post-discharge. Time below range increased from 7.0% at discharge to 17.6% by the study end (manova, P < 0.001). Hypoglycemic events peaked post-breakfast, with the highest amplitude (42 points) recorded at 12:00. The highest and lowest numbers of hypoglycemia occurred at 12:00 and 17:30, respectively. However, the highest hypoglycemic timeslot (11:00-12:00) was not significantly associated with clinical and biochemical parameters.

CONCLUSIONS

The chronobiology of hypoglycemia exists during the discharge transition in patients with MDI-treated T2D. Hypoglycemia frequency and severity peaked pre-lunch, reached a nadir at 17:30, and exaggerated post-discharge, emphasizing the need for pre-breakfast insulin dose reductions on the discharge day.

The use of continuous glucose monitoring in people living with obesity, intermediate hyperglycemia or type 2 diabetes

A global trend towards increased obesity, intermediate hyperglycemia (previously termed prediabetes) and type 2 diabetes, has prompted a range of international initiatives to proactively raise awareness and provide action-driven recommendations to prevent and manage these linked disease states. One approach, that has shown success in managing people already diagnosed with type 2 diabetes mellitus, is to use continuous glucose monitoring (CGM) devices to help them manage their chronic condition through understanding and treating their daily glucose fluctuations, in assocation with glucose-lowering medications, including insulin. However, much of the burden of type 2 diabetes mellitus is founded in the delayed detection both of type 2 diabetes mellitus itself, and the intermediate hyperglycemia that precedes it. In this review, we provide evidence that using CGM technology in people at-risk of intermediate hyperglycemia or type 2 diabetes mellitus can significantly improve the rate and timing of detection of dysglycemia. Earlier detection allows intervention, including through continued use of CGM to guide changes to diet and lifestyle, that can delay or prevent harmful progression of early dysglycemia. Although further research is needed to fully understand the cost-effectiveness of this intervention in people at-risk or with early dysglycemia, the proposition for use of CGM technology is clear.

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.

Accuracy of the Freestyle Libre 3 Continuous Glucose Monitoring System in Hypo- and Euglycemic Cats

BACKGROUND

The FreeStyle Libre 3 (FSL3) has several improvements compared to previous FreeStyle Libre systems, but its accuracy has not yet been determined in cats. In diabetic people, FSL3 offers increased accuracy, and its smaller size could be advantageous for use in veterinary patients.

OBJECTIVES

Assess the accuracy of FSL3 in cats with experimentally induced hypoglycemia.

ANIMALS

Seven healthy, purpose-bred cats.

METHODS

Hyperinsulinemic-hypoglycemic clamps were performed. Interstitial glucose concentration (IG), measured by FSL3, was compared to blood glucose concentration (BG) measured by AlphaTrak2. Data were analyzed for all paired measurements (n = 474) and during stable BG (≤ 1 mg/dL/min change over 10 min). Pearson's r test, Bland-Altman test, and Parkes Error Grid analysis (EGA) respectively used to determine correlation, bias, and clinical accuracy.

RESULTS

Blood glucose concentration and IG correlated strongly (r = 0.86, p < 0.0001) in stable glycemia and moderately at all rates of change (r = 0.73, p < 0.0001). Analytical accuracy was not achieved, whereas clinical accuracy was demonstrated with 99%-100% of the results in zones A + B of the Parkes EGA. Interstitial glucose concentration underestimated BG in euglycemia and mild hypoglycemia (mean -11.7 ± 11.2, -5.5 ± 9.1, -1.5 ± 6.0 mg/dL in the ranges 91-120, 66-90, and 56-65 mg/dL, respectively), but overestimated BG in marked hypoglycemia (mean 6.3 ± 5.7, 15.7 ± 5.6 mg/dL in the ranges 46-55 and < 45 mg/dL, respectively).

CONCLUSIONS

The FSL3 underestimates BG across most of the hypo-euglycemic range but overestimates BG in marked hypoglycemia (< 55 mg/dL). Recognizing the proportional, glycemic-dependent bias of FSL3 improves the safety of its clinical application in cats.

[Continuous glucose monitoring devices in people over 65 years: literature review]

Background

The use of continuous glucose monitoring (CGM) in elderly patients with diabetes is not well documented. The present study search to know the current status of use of CGM devices in patients with diabetes over 65 years of age.

Methods

A systematic literature search was performed in PubMed and Scopus databases in November 2023. The following descriptors were used, linked using the Boolean operators AND and OR: Diabetes, Continuous glucose monitoring, Flash glucose monitoring, Glycemia, Glycemic control, Controlled diabetes, Diabetes care, Metrics, Older and Elder. The CASPe critical reading system and the PRISMA methodology were applied to document the review.

Results

Fourteen selected studies published between 2019 and 2023 were reviewed. Publications from European countries used small sample sizes and were intervention studies. The duration of the interventions was generally short: 7 were ≤14 days in duration and only 3 were 6-12 months in duration. Overall, the selected articles found that CGM improved glycemic outcomes due to a decrease in glycosylated hemoglobin value and an improvement in CGM metrics, and diabetes-associated complications in elderly patients with diabetes.

Conclusion

CGM seems to be a useful and effective tool to improving glycemic outcomes of people with diabetes over age 65. Further studies under real-world conditions and of longer duration are needed to expand and improve the evidence.

Continuous glucose monitoring for the routine care of type 2 diabetes mellitus

Although continuous glucose monitoring (CGM) devices are now considered the standard of care for people with type 1 diabetes mellitus, the uptake among people with type 2 diabetes mellitus (T2DM) has been slower and is focused on those receiving intensive insulin therapy. However, increasing evidence now supports the inclusion of CGM in the routine care of people with T2DM who are on basal insulin-only regimens or are managed with other medications. Expanding CGM to these groups could minimize hypoglycaemia while allowing efficient adaptation and escalation of therapies. Increasing evidence from randomized controlled trials and observational studies indicates that CGM is of clinical value in people with T2DM on non-intensive treatment regimens. If further studies confirm this finding, CGM could soon become a part of routine care for T2DM. In this Perspective we explore the potential benefits of widening the application of CGM in T2DM, along with the challenges that must be overcome for the evidence-based benefits of this technology to be delivered for all people with T2DM.

Continuous Glucose Monitoring-Guided Insulin Administration in Long-Term Care Facilities: A Randomized Clinical Trial

OBJECTIVES

To evaluate the efficacy of real-time continuous glucose monitoring (rt-CGM) in adjusting insulin therapy in long-term care facilities (LTCF).

DESIGN

Prospective randomized clinical trial.

SETTINGS AND PARTICIPANTS

Insulin-treated patients with type 2 diabetes (T2D) admitted to LTCF.

METHODS

Participants in the standard of care wore a blinded CGM with treatment adjusted based on point-of-care capillary glucose results before meals and bedtime (POC group). Participants in the intervention (CGM group) wore a Dexcom G6 CGM with treatment adjusted based on daily CGM profile. Treatment adjustment was performed by the LTCF medical team, with a duration of intervention up to 60 days. The primary endpoint was difference in time in range (TIR 70-180 mg/dL) between treatment groups.

RESULTS

Among 100 participants (age 74.73 ± 11 years, 80% admitted for subacute rehabilitation and 20% for nursing home care), there were no significant differences in baseline clinical characteristics between groups, and CGM data were compared for a median of 17 days. There were no differences in TIR (53.38% ± 30.16% vs 48.81% ± 28.03%, P = .40), mean daily mean CGM glucose (184.10 ± 43.4 mg/dL vs 190.0 ± 45.82 mg/dL, P = .71), or the percentage of time below range (TBR) <70 mg/dL (0.83% ± 2.59% vs 1.18% ± 3.54%, P = .51), or TBR <54 mg/dL (0.23% ± 0.85% vs 0.56% ± 2.24%, P = .88) between rt-CGM and POC groups.

CONCLUSIONS AND IMPLICATIONS

The use of rtCGM is safe and effective in guiding insulin therapy in patients with T2D in LTCF resulting in a similar improvement in glycemic control compared to POC-guided insulin adjustment.

Impact of a Tripartite Collaboration between Oncologist, Pharmacist and Diabetologist in the Management of Patients with Diabetes Starting Chemotherapy: The ONCODIAB Trial

BACKGROUND

Diabetes negatively impacts cancer prognosis. The objective of this work was to evaluate a tripartite oncologist-pharmacist-diabetologist collaboration in the management of patients with diabetes starting chemotherapy.

PATIENTS AND METHODS

The prospective ONCODIAB study (NCT04315857) included 102 adults with diabetes starting chemotherapy by whom a continuous glucose monitoring device was worn for fourteen days from the first day of the first and second chemotherapy cycles. The primary outcome was to assess pharmacist and diabetologist interventions. The secondary outcome was to evaluate the impact of the ONCODIAB follow-up on individualized patient glycemic targets at 6 months.

RESULTS

A total of 191 (2 per patient) were made either by clinical pharmacists (n = 95) or diabetologists (n = 96) during the first two chemotherapy cycles. The anatomic therapeutic chemical drug classes most frequently involved in pharmacist interventions were cardiovascular system (23%), alimentary tract and metabolism (22%), and anti-infectives for systemic use (14%). Diabetologists modified the antidiabetic treatment in 58 (62%) of patients: dose reduction (34%), drug discontinuation (28%), drug addition (24%), and dose increase (15%). Glycated hemoglobin decreased from 7.6 ± 1.7% at baseline to 7.1 ± 1.1% at 6 months (p = 0.02). Compared to individualized targets, HbA1c was higher, in the interval, or lower in 29%, 44%, and 27% of patients at baseline vs. in 8%, 70%, and 22% of patients at 6 months, respectively (p < 10-3).

CONCLUSIONS

In our study, a close collaboration between oncologists, pharmacists, and diabetologists helped by continuous glucose monitoring led to overall medication optimization and better glycemic control in patients with diabetes starting chemotherapy.

Assessment of the FreeStyle Libre 2 interstitial glucose monitor in hypo- and euglycemic cats

BACKGROUND

Continuous glucose monitoring systems have been validated for eu- and hyperglycemic cats. The FreeStyle Libre 2 (FSL2) is sufficiently accurate in people during hypoglycemia to guide critical treatment decisions without confirmation of blood glucose concentration (BG).

OBJECTIVES

Assess FSL2 accuracy in cats with hypoglycemia.

ANIMALS

Nine healthy, purpose-bred cats.

METHODS

Hyperinsulinemic-hypoglycemic clamps were performed by IV infusion of regular insulin (constant rate) and glucose (variable rate). Interstitial glucose concentration (IG), measured by FSL2, was compared to BG measured by AlphaTrak2. Data were analyzed for all paired measurements (n = 364) and separately during stable BG (≤1 mg/dL/min change over 10 minutes). Pearson's r test, Bland-Altman test, and Parkes Error Grid analysis respectively were used to determine correlation, bias, and clinical accuracy (P < .05 considered significant).

RESULTS

Overall, BG and IG correlated strongly (r = 0.83, P < .0001) in stable glycemia and moderately at all rates of change (r = 0.69, P < .0001). Interstitial glucose concentration underestimated BG in euglycemia, but the BG-IG difference was progressively smaller as BG decreased (12.9 ± 12.2, 8.8 ± 11.2, -3.2 ± 7.4, and -7.8 ± 5.2 mg/dL in the ranges of 80-120 [n = 64], 60-79 [n = 29], 50-59 [n = 71], and 29-49 mg/dL [n = 53], respectively).

CONCLUSIONS

Although IG underestimates BG throughout most of the hypo-euglycemic range, IG generally overestimates BG in marked hypoglycemia (<60 mg/dL). It is therefore imperative to evaluate FSL2 results in this critical range with caution.

The Growing Role of Technology in the Care of Older Adults With Diabetes

The integration of technologies such as continuous glucose monitors, insulin pumps, and smart pens into diabetes management has the potential to support the transformation of health care services that provide a higher quality of diabetes care, lower costs and administrative burdens, and greater empowerment for people with diabetes and their caregivers. Among people with diabetes, older adults are a distinct subpopulation in terms of their clinical heterogeneity, care priorities, and technology integration. The scientific evidence and clinical experience with these technologies among older adults are growing but are still modest. In this review, we describe the current knowledge regarding the impact of technology in older adults with diabetes, identify major barriers to the use of existing and emerging technologies, describe areas of care that could be optimized by technology, and identify areas for future research to fulfill the potential promise of evidence-based technology integrated into care for this important population.

Nocturnal hypoglycemia is underdiagnosed in older people with insulin-treated type 2 diabetes: The HYPOAGE observational study

BACKGROUND

There is a lack of real-life data regarding the frequency and predictive factors of hypoglycemia in older patients with type 2 diabetes (T2D). This study aimed to determine the frequency and predictors of hypoglycemia in older patients with insulin-treated T2D.

METHODS

This prospective multicenter study included 155 insulin-treated T2D patients aged 75 years and older with ≥2 self-monitoring of blood glucose (SMBG) daily controls. Participants underwent a geriatric and diabetic assessment and received ambulatory blinded continuous glucose monitoring (CGM) for 28 consecutive days with FreeStyle Libre Pro® sensor. Study population (n = 141) has >70% CGM active time. Multivariable logistic regressions were used to identify factors associated with SMBG confirmed hypoglycemia (≥70 mg/dL) and with nocturnal level 2 time below range (glucose concentration <54 mg/dL during ≥15 consecutive min between 0.00 and 6.00 am).

RESULTS

The mean age of the 141 analyzed patients was 81.5 ± 5.3 years and 56.7% were male. The mean baseline HbA_1c was 7.9% ± 1.0%. After geriatric assessment, 102 participants (72.3%) were considered as complex and 39 (27.7%) as healthy. The primary endpoint (confirmed SMBG <70 mg/dL) occurred in 37.6% patients. In multivariable analysis, the risk of SMBG-confirmed hypoglycemia was positively associated with a longer duration of diabetes (OR (+1 year) =1.04, (1.00-1.08), p = 0.04) and glycemic variability assessed by CGM (CV %) (OR (+1%) = 1.12, [1.05-1.19], p = <0.001). Nighty-two patients (65.2%) experienced nocturnal time in hypoglycemia (i.e., <54 mg/dL during ≥15 consecutive min between midnight and 6 a.m.). In multivariable analyses, cognitive impairment (OR: 9.31 [2.59-33.4]), heart failure (OR: 4.81 [1;48-15.6]), and depressive disorder (OR: 0.19 [0.06-0.53]) were associated with nocturnal time in hypoglycemia.

CONCLUSION

Nocturnal hypoglycemia is very common and largely underdiagnosed in older patients with insulin-treated T2D. CGM is a promising tool to better identify hypoglycemia and adapt diabetes management in this population.

Status of continuous glucose monitoring use and management in tertiary hospitals of China: a cross-sectional study

OBJECTIVE

This study aims to reveal the use and management status of continuous glucose monitoring (CGM) in tertiary hospitals in China and to determine the potential factors affecting the application of CGM, based on which more effective solutions would be produced and implemented.

DESIGN

An online, cross-sectional study was conducted from October 2021 to December 2021.

SETTING

Eighty-three tertiary hospitals in China were involved.

PARTICIPANTS

Eighty-three head nurses and 281 clinical nurses were obtained.

OUTCOME

Current condition of CGM use and management, the factors that hinder the use and management of CGM, scores of current CGM use and management, as well as their influencing factors, were collected.

RESULTS

Among the 83 hospitals surveyed, 57 (68.7%) hospitals used CGM for no more than 10 patients per month. Seventy-three (88.0%) hospitals had developed CGM standard operating procedures, but only 29 (34.9%) hospitals devised emergency plans to deal with adverse effects related to CGM. Comparably, maternal and children's hospitals were more likely to have a dedicated person to assign install CGM than general hospitals (52.2% vs 26.7%). As for the potential causes that hinder the use and management of CGM, head nurses' and nurses' perceptions differed. Head nurses perceived patients' limited knowledge about CGM (60.2%), the high costs of CGM and inaccessibility to medical insurance (59.0%), and imperfect CGM management systems (44.6%) as the top three factors. Different from head nurses, CGM operation nurses considered the age of CGM operators, the type of hospital nurses worked in, the number of patients using CGM per month and the number of CGM training sessions as potential factors (p<0.05).

CONCLUSIONS

The study provides a broad view of the development status of CGM in China. Generally speaking, the use and management of CGM in China are not yet satisfactory, and more efforts are wanted for improvement.