Comparing Glucose Outcomes Following Face-to-Face and Remote Initiation of Flash Glucose Monitoring in People Living With Diabetes.

BACKGROUND: When launched, FreeStyle Libre (FSL; a flash glucose monitor) onboarding was mainly conducted face-to-face. The COVID-19 pandemic accelerated a change to online starts with patients directed to online videos such as Diabetes Technology Network UK for education. We conducted an audit to evaluate glycemic outcomes in people who were onboarded face-to-face versus those who were onboarded remotely and to determine the impact of ethnicity and deprivation on those outcomes. METHODS: People living with diabetes who started using FSL between January 2019 and April 2022, had their mode of onboarding recorded and had at least 90 days of data in LibreView with >70% data completion were included in the audit. Glucose metrics (percent time in ranges) and engagement statistics (previous 90-day averages) were obtained from LibreView. Differences between glucose variables and onboarding methods were compared using linear models, adjusting for ethnicity, deprivation, sex, age, percent active (where appropriate), and duration of FSL use. RESULTS: In total, 935 participants (face-to-face 44% [n = 413]; online 56% [n = 522]) were included. There were no significant differences in glycemic or engagement indices between onboarding methods and ethnicities, but the most deprived quintile had significantly lower percent active time (b = -9.20, P = .002) than the least deprived quintile. CONCLUSIONS: Online videos as an onboarding method can be used without significant differences in glucose and engagement metrics. The most deprived group within the audit population had lower engagement metrics, but this did not translate into differences in glucose metrics.

Real-Time Continuous Glucose Monitoring in the Hospital: A Real-World Experience.

BACKGROUND: Glycemic control in the hospital setting is imperative for improving outcomes among patients with diabetes. Bedside point-of-care (POC) glucose monitoring has remained the gold standard for decades, while only providing momentary glimpses into a patient's glycemic control. Continuous glucose monitoring (CGM) has been shown to improve glycemic control in the ambulatory setting. However, a paucity of inpatient experience and data remains a barrier to US Food and Drug Administration (FDA) approval and expanded/non-research use in the hospital setting. METHOD: Amid the COVID-19 pandemic, the FDA exercised its enforcement discretion to not object to the use of CGM systems for the treatment of patients in hospital settings to support COVID-19 health care-related efforts to reduce viral exposure of health care workers. Following this announcement, Scripps Health, a large not-for-profit health care system in San Diego, California, implemented CGM as the new "standard of care" (CGM as SOC) for glucose monitoring and management in the hospital. RESULTS: The present report serves to (1) detail the implementation procedures for employing this new SOC; (2) describe the patients receiving CGM as SOC, their glycemic control, and hospital outcomes; and (3) share lessons learned over two years and nearly 900 hospital encounters involving CGM. CONCLUSIONS: Here, we conclude that CGM is feasible in the hospital setting by using a dedicated diabetes care team and the CGM technology with remote monitoring.

Continuous Glucose Monitoring in the Intensive Care Unit.

Traditionally, the care of critically ill patients with diabetes or stress hyperglycemia in the intensive care unit (ICU) demands the use of continuous intravenous insulin (CII) therapy to achieve narrow glycemic targets. To reduce the risk of iatrogenic hypoglycemia and to achieve glycemic targets during CII, healthcare providers (HCP) rely on hourly point-of-care (POC) arterial or capillary glucose tests obtained with glucose monitors. The burden of this approach, however, was evident during the beginning of the pandemic when the immediate reduction in close contact interactions between HCP and patients with COVID-19 was necessary to avoid potentially life-threatening exposures. Taking advantage of the advancements in current diabetes technologies, including continuous glucose monitoring (CGM) devices integrated with digital health tools for remote monitoring, HCP implemented novel protocols in the ICU to care for patients with COVID-19 and hyperglycemia. We provide an overview of research conducted in the ICU setting with the use of initial CGM technology to current devices and summarize our recent experience in the ICU.

Nursing Perspectives on the Use of Continuous Glucose Monitoring in the Intensive Care Unit.

BACKGROUND: The COVID-19 pandemic necessitated rapid implementation of continuous glucose monitoring (CGM) in the intensive care unit (ICU). Although rarely reported, perceptions from nursing staff who used the systems are critical for successful implementation and future expanded use of CGM in the inpatient setting. METHODS: A 22-item survey focused on CGM use was distributed to ICU nurses at two large academic medical centers in the United States in 2022. Both institutions initiated inpatient CGM in the spring of 2020 using the same CGM+point of care (POC) hybrid protocol. The survey employed a 1- to 5-point Likert scale regarding CGM sensor insertion, accuracy, acceptability, usability, training, and perceptions on workload. RESULTS: Of the 71 surveys completed, 68 (96%) nurses reported they cared for an ICU patient on CGM and 53% reported they had independently performed CGM sensor insertion. The ICU nurses overwhelmingly reported that CGM was accurate, reduced their workload, provided safer patient care, and was preferred over POC glucose testing alone. Interestingly, nearly half of nurses (49%) reported that they considered trend arrows in dosing decisions although trends were not included in the CGM+POC hybrid protocol. Nurses received training through multiple modalities, with the majority (80%) of nurses reporting that CGM training was sufficient and prepared them for its use. CONCLUSION: These results confirm nursing acceptance and preference for CGM use within a hybrid glucose monitoring protocol in the ICU setting. These data lay a blueprint for successful implementation and training strategies for future widespread use.

A centennial review of discoveries and advances in diabetes: Children and youth.

Diabetes is an increasingly common chronic metabolic disorder in children worldwide. The discovery of insulin in 1921 resulted in unprecedented advancements that improved the lives of children and youth with diabetes. The purpose of this article is to review the history of diabetes in children and youth over the last century and its implications for future developments in the field. We identified 68 relevant events between 1921 and 2021 through literature review and survey of pediatric endocrinologists. Basic research milestones led to the discovery of insulin and other regulatory hormones, established the normal physiology of carbohydrate metabolism and pathophysiology of diabetes, and provided insight into strategies for diabetes prevention. While landmark clinical studies were initially focused on adult diabetes populations, later studies assessed etiologic factors in birth cohort studies, evaluated technology use among children with diabetes, and investigated pharmacologic management of youth type 2 diabetes. Technological innovations culminated in the introduction of continuous glucose monitoring that enabled semi-automated insulin delivery systems. Finally, professional organizations collaborated with patient groups to advocate for the needs of children with diabetes and their families. Together, these advances transformed type 1 diabetes from a terminal illness to a manageable disease with near-normal life expectancy and increased our knowledge of type 2 diabetes and other forms of diabetes in the pediatric population. However, disparities in access to insulin, diabetes technology, education, and care support remain and disproportionately impact minority youth and communities with less resources. The overarching goal of diabetes management remains promoting a high quality of life and improving glycemic management without undermining the psychological health of children and youth living with diabetes.

Combining CGM and an Online Peer Support Community for Hispanic Adults with T2D: A Feasibility Study.

BACKGROUND: Previous research has identified that people with type 2 diabetes (T2D) within the Hispanic community would benefit from an online peer support community (OPSC) and continuous glucose monitoring (CGM) data to facilitate diabetes self-management. METHODS: A mixed-methods feasibility study enrolled Hispanic, Spanish-speaking adults with T2D, not on insulin. Participants were provided with CGM and access to an OPSC for 12 weeks. Feasibility was assessed by number of eligible participants who enrolled, attrition, quantity of CGM data, validated clinical measures of self-efficacy, quality of life and adverse events. Engagement in the OPSC was measured using objective metrics on the online platform. Qualitative interviews were conducted upon conclusion of the intervention to assess feasibility, acceptability, participant satisfaction, and key recommendations for improvement. RESULTS: Of 46 participants screened, 39 were eligible and 26 completed the study. Participants significantly improved self-efficacy scores. Posts in the OPSC related to goal setting had the highest engagement followed by mid-week and end of week check-in posts respectively. Participant interviews described challenges accessing the OPSC platform as a barrier to engagement. Despite this, all participants were satisfied with the intervention. Key recommendations for improvement included providing greater variety of and individualized education and the use of a peer support platform that is easily accessible. CONCLUSIONS: The CGM + OPSC intervention tailored to the Hispanic community with T2D was feasible, acceptable and satisfactory and improved participant self-efficacy for diabetes management which may lead to improved clinical outcomes.

Influence of the SARS-CoV-2 pandemic on paediatric patients with type 1 diabetes mellitus after one year of follow-up.

OBJECTIVES: Lockdown during the SARS-CoV-2 pandemic generated uncertainty regarding its effects on the control of type 1 diabetes (DM1). Our study aims to evaluate the influence of the pandemic on the control of paediatric patients with DM1. METHODS: Longitudinal, retrospective, observational study in patients with DM1 attended between 15/10/2019 and 15/03/2020. Data were collected at that visit and at the three subsequent visits. The second was remote in 50% of cases. The variables analysed were: type of insulin therapy, time in range (TIR), time in hypoglycaemia (THypo), time in hyperglycaemia (THyper), coefficient of variation (CV), glycosylated haemoglobin, insulin requirements and anthropometric data. RESULTS: 157 patients were recruited. At the post-lockdown visit, the TIR increased and the THyper decreased with respect to the first (p<0.00) and second (p<0.00) visits. Patients treated with subcutaneous infusion showed a higher TIR at the third visit (p=0.03) and lower insulin requirements at the fourth visit (p=0.03) compared to patients treated with multiple doses. Patients with a remote visit presented a higher TIR (p<0.00), a lower THyper (p=0.00) and lower insulin requirements (p=0.01) at the next visit. Patients aged less than 6 years presented a lower glycosylated haemoglobin (p=0.01) and insulin requirements at the third (p=0.03) and fourth (p=0.01) visits, and a lower increase in body mass index (p=0.03) over the year. CONCLUSIONS: Metabolic control improved at the post-lockdown visit. Patients treated with subcutaneous infusion, those who had a remote visit during strict lockdown and those aged less than 6 years had a better evolution.

Practical implementation of remote continuous glucose monitoring in hospitalized patients with diabetes.

PURPOSE: Inpatient diabetes management involves frequent assessment of glucose levels for treatment decisions. Here we describe a program for inpatient real-time continuous glucose monitoring (rtCGM) at a community hospital and the accuracy of rtCGM-based glucose estimates. METHODS: Adult inpatients with preexisting diabetes managed with intensive insulin therapy and a diagnosis of coronavirus disease 2019 (COVID-19) were monitored via rtCGM for safety. An rtCGM system transmitted glucose concentration and trending information at 5-minute intervals to nearby smartphones, which relayed the data to a centralized monitoring station. Hypoglycemia alerts were triggered by rtCGM values of ≤85 mg/dL, but rtCGM data were otherwise not used in management decisions; insulin dosing adjustments were based on blood glucose values measured via fingerstick blood sampling. Accuracy was evaluated retrospectively by comparing rtCGM values to contemporaneous point-of-care (POC) blood glucose values. RESULTS: A total of 238 pairs of rtCGM and POC data points from 10 patients showed an overall mean absolute relative difference (MARD) of 10.3%. Clarke error grid analysis showed 99.2% of points in the clinically acceptable range, and surveillance error grid analysis showed 89.1% of points in the lowest risk category. It was determined that for 25% of the rtCGM values, discordances in rtCGM and POC values would likely have resulted in different insulin doses. Insulin dose recommendations based on rtCGM values differed by 1 to 3 units from POC-based recommendations. CONCLUSION: rtCGM for inpatient diabetes monitoring is feasible. Evaluation of individual rtCGM-POC paired values suggested that using rtCGM data for management decisions poses minimal risks to patients. Further studies to establish the safety and cost implications of using rtCGM data for inpatient diabetes management decisions are warranted.

Nursing interventions for people with type 1 diabetes and frequent hypoglycaemia.

Type 1 diabetes is a lifelong condition which affects all age ranges, for reasons unknown, and the UK has one of the highest incidences of this complex condition in the world. Type 1 diabetes is caused by autoimmune damage to the insulin-producing ß-cells found in the pancreatic islet cells, leading to severe insulin deficiency. People with diabetes need to achieve a target glyosylated haemoglobin level to avoid macro- and microvascular complications, but there is the associated risk of hypoglycaemic events. These can vary in severity and consequences but will likely always cause worry for the person living with diabetes. There are many risk factors and reasons to be explored when looking at hypoglycaemia. This case study explores the nursing interventions that can be safely worked through and prioritised, within the community setting, to allow people with diabetes to be safe from severe hypoglycaemia, thus improving their quality of life and safety, as well as reducing costs for the NHS.

Diabetes Technology Use in Remote Pediatric Patients with Type 1 Diabetes Using Clinic-to-Clinic Telemedicine.

Background: Clinic-to-clinic telemedicine can increase visit frequency in pediatric patients with type 1 diabetes (T1D) living far from a diabetes specialty clinic, but the impact on adoption of diabetes technology is unclear. Materials and Methods: Pediatric patients with T1D in Colorado and surrounding states who received diabetes care using clinic-to-clinic telemedicine were enrolled. Medical records and surveys were reviewed to ascertain technology use, and data were compared to patients from the main clinic population. Results: Patients (N = 128, baseline mean age 12.4 ± 4.2 years, median T1D duration 3.3 years [IQR 1.4-7.7], mean A1c 8.9% ± 1.8%, 60% male, 75% non-Hispanic white, 77% private insurance) who utilized telemedicine were included. Technology use among telemedicine patients was not associated with gender, T1D duration, insurance, distance from the main clinic or rural designation but was associated with ethnicity and A1c. Compared to the main clinic cohort (N = 3636), continuous glucose monitor (CGM) use and pump/CGM combination use was lower among patients participating in clinic-to-clinic telemedicine (CGM: 29.7% vs. 56.0%, P < 0.001; CGM/pump combination: 27.3% vs. 40.3%, P = 0.004). Technology use was associated with lower A1c regardless of cohort. Conclusions: Compared to patients attending in-person clinic, pediatric T1D patients who use clinic-to-clinic telemedicine due to their distance from the main clinic, have lower CGM and combination CGM/pump use. For both telemedicine and main clinic patients, CGM and CGM/pump combination was associated with lower A1c. Additional research is needed to explore reasons for this discrepancy and find methods to improve CGM use in this population.

COVID-19 Pandemic and Pediatric Type 1 Diabetes: No Significant Change in Glycemic Control During The Pandemic Lockdown of 2020.

Importance: There is no consensus on the impact of the 2020 COVID-19 pandemic lockdown on glycemic control in children and adolescents with type 1 diabetes (T1D) in the US. Aim: To determine the impact of the pandemic lockdown of March 15th through July 6th, 2020 on glycemic control after controlling for confounders. Subjects and Methods: An observational study of 110 subjects of mean age 14.8 ± 4.9 years(y), [male 15.4 ± 4.0y, (n=57); female 14.1 ± 3.8y, (n=53), p=0.07] with T1D of 6.31 ± 4.3y (95% CI 1.0-19.7y). Data were collected at 1-4 months before the lockdown and 1-4 months following the lifting of the lockdown at their first post-lockdown clinic visit. Results: There was no significant change in A1c between the pre- and post-pandemic lockdown periods, 0.18 ± 1.2%, (95% CI -0.05 to 0.41), p=0.13. There were equally no significant differences in A1c between the male and female subjects, -0.16 ± 1.2 vs -0.19 ± 1.2%, p=0.8; insulin pump users and non-pump users, -0.25 ± 1.0 vs -0.12 ± 1.4%, p=0.5; and pubertal vs prepubertal subjects, 0.18 ± 1.3 vs -0.11 ± 0.3%, p=0.6. The significant predictors of decrease in A1c were pre-lockdown A1c (p<0.0001) and the use of CGM (p=0.019). The CGM users had significant reductions in point-of-care A1c (0.4 ± 0.6%, p=0.0012), the CGM-estimated A1c (p=0.0076), mean glucose concentration (p=0.022), a significant increase in sensor usage (p=0.012), with no change in total daily dose of insulin (TDDI). The non-CGM users had significantly increased TDDI (p<0.0001) but no change in HbA1c, 0.06 ± 1.8%, p=0.86. Conclusions: There was no change in glycemic control during the pandemic lockdown of 2020 in US children.

Continuous Glucose Monitoring in the Hospital.

Continuous glucose monitors (CGMs) have suddenly become part of routine care in many hospitals. The coronavirus disease 2019 (COVID-19) pandemic has necessitated the use of new technologies and new processes to care for hospitalized patients, including diabetes patients. The use of CGMs to automatically and remotely supplement or replace assisted monitoring of blood glucose by bedside nurses can decrease: the amount of necessary nursing exposure to COVID-19 patients with diabetes; the amount of time required for obtaining blood glucose measurements, and the amount of personal protective equipment necessary for interacting with patients during the blood glucose testing. The United States Food and Drug Administration (FDA) is now exercising enforcement discretion and not objecting to certain factory-calibrated CGMs being used in a hospital setting, both to facilitate patient care and to obtain performance data that can be used for future regulatory submissions. CGMs can be used in the hospital to decrease the frequency of fingerstick point of care capillary blood glucose testing, decrease hyperglycemic episodes, and decrease hypoglycemic episodes. Most of the research on CGMs in the hospital has focused on their accuracy and only recently outcomes data has been reported. A hospital CGM program requires cooperation of physicians, bedside nurses, diabetes educators, and hospital administrators to appropriately select and manage patients. Processes for collecting, reviewing, storing, and responding to CGM data must be established for such a program to be successful. CGM technology is advancing and we expect that CGMs will be increasingly used in the hospital for patients with diabetes.

Daily glucose variation influenced by the use of corticosteroids in COVID-19 patients treated in Lima-Peru.

AIM: The pandemic has generated the need for COVID-19 patients to be treated as best as possible; however, the effect of these treatments on glycemic control has not yet been taken into account. This article aims to determine whether the daily variation of glucose is influenced by the use of corticosteroids in COVID-19 patients treated in Lima-Peru. METHODOLOGY: A prospective cohort study was undertook, in which glucose was measured four times a day in 53 patients hospitalized due to COVID-19. These values were associated with the use of corticosteroids and adjusted for other socio-educational variables, all by means of PA-GEE models. RESULTS: Nested multivariate analysis of daily glucose variation found that those using corticosteroids increased the daily average glucose as well as the first and last glucose measurements, this is, at 6am and 10pm, respectively (all p-values <0.026). An increase in glucose levels was also observed in those with diabetes (all p-values <0.001). In contrast, we found that there was a decrease in the last glucose measurement of the day in obese patients (p-value = 0.044). CONCLUSIONS: The patients who used corticosteroids for the treatment of COVID-19 increased the average glucose per day, especially in the first and last measurement.

Use of Continuous Glucose Monitor in Critically Ill COVID-19 Patients Requiring Insulin Infusion: An Observational Study.

CONTEXT: The coronavirus disease 2019 (COVID-19) pandemic has created a need for remote blood glucose (BG) monitoring in the intensive care unit (ICU). OBJECTIVE: To evaluate feasibility and patient safety of a hybrid monitoring strategy of point-of-care (POC) BG plus continuous glucose monitor (CGM) in the ICU. DESIGN: Retrospective analysis. SETTING: ICU of an academic medical center. PATIENTS: Patients with COVID-19 on IV insulin. INTERVENTION: After meeting initial validation criteria, CGM was used for IV insulin titration and POC BG was performed every 6 hours or as needed. MAIN OUTCOME MEASURES: Outcomes included frequency of POC BG, workflow, safety, and accuracy measures. RESULTS: The study included 19 patients, 18 with CGM data, mean age 58 years, 89% on mechanical ventilation, 37% on vasopressors, and 42% on dialysis. The median time to CGM validation was 137 minutes (interquartile range [IQR] 114-206). During IV insulin, the median number of POC values was 7 (IQR 6-16) on day 1, and declined slightly thereafter (71% reduction compared with standard of 24/day). The median number of CGM values used nonadjunctively to titrate IV insulin was 11.5 (IQR 0, 15) on day 1 and increased thereafter. Time in range 70 to 180 mg/dL was 64 ± 23% on day 1 and 72 ± 16% on days 2 through 7, whereas time <70 mg/dL was 1.5 ± 4.1% on day 1 and <1% on days 2 through 7. CONCLUSIONS: This study provides data to support that CGM using a hybrid protocol is feasible, accurate, safe, and has potential to reduce nursing and staff workload.

Management of diabetes in elderly patients during the COVID-19 pandemic: current and future perspectives.

Introduction: The COVID-19 pandemic has affected the entire population with the most deleterious effects in elders. Elders, especially those with diabetes, are at the highest risk of COVID-19 related adverse outcomes and mortality. This is usually linked to the comorbidities that accumulate with age, diabetes-related chronic inflammation, and the pandemic's psychosocial effects.Areas covered: We present some approaches to manage these complicated elderly patients with diabetes during the COVID-19 pandemic. In the inpatient setting, we suggest similar (pre-pandemic) glycemic targets and emphasize the importance of using IV insulin and possible use of continuous glucose monitoring to reduce exposure and PPE utilization. Outside the hospital, we recommend optimal glycemic control within the limits imposed by considerations of safety. We also describe the advantages and challenges of using various technological platforms in clinical care.Expert opinion: The COVID-19 pandemic has lifted the veil off serious deficiencies in the infrastructures for care at both the individual level and the population level and also highlighted some of the strengths, all of which affect individuals with diabetes and COVID-19. We anticipate that things will not return to 'normal' after the COVID-19 pandemic has run its course, but rather they will be superseded by 'New Normal.'

Improved individual and population-level HbA1c estimation using CGM data and patient characteristics.

Machine learning and linear regression models using CGM and participant data reduced HbA1c estimation error by up to 26% compared to the GMI formula, and exhibit superior performance in estimating the median of HbA1c at the cohort level, potentially of value for remote clinical trials interrupted by COVID-19.

Use and Accuracy of Inpatient CGM During the COVID-19 Pandemic: An Observational Study of General Medicine and ICU Patients.

BACKGROUND: Continuous glucose monitoring (CGM) is widely used in the outpatient setting for people with diabetes and has been limited to investigational use only for the inpatient population. In April 2020, the US FDA exercised enforcement discretion for the temporary use of inpatient CGM during the pandemic, thus hospitals were presented the opportunity to implement this technology. METHODS: We sought to investigate the accuracy of CGM in hospitalized patients on general care floors and the intensive care unit (ICU) in attempts to decrease healthcare professional exposure to COVID-19 and ultimately improve glycemic management of patients affected by COVID-19. Point of care (POC) and laboratory (Lab) glucose values were matched with simultaneous CGM glucose values and measures of accuracy were performed to evaluate the safety and usability of CGM in this population. Our data are presented drawing a distinction between POC and Lab as reference glucose sources. RESULTS: In 808 paired samples obtained from 28 patients (10 ICU, 18 general floor), overall mean absolute relative difference (MARD) for all patients using either POC or Lab as reference was 13.2%. When using POC as the reference glucose MARD was 13.9% and using Lab glucose as reference 10.9%. Using both POC and Lab reference glucose pairs the overall MARD for critical care patients was 12.1% and for general floor patients 14%. CONCLUSION: We determined, with proper protocols and safeguards in place, use of CGM in the hospitalized patient is a reasonable alternative to standard of care to achieve the goal of reducing healthcare professional exposure. Further study is necessary to validate safety, accuracy, and efficacy of this technology. Investigation and analysis are necessary for the development of protocols to utilize CGM trend arrows, alerts, and alarms.