Continuous Glucose Monitoring in the Hospital

Using technology to support diabetes care in hospital: Guidelines from the Joint British Diabetes Societies for Inpatient Care (JBDS-IP) group and Diabetes Technology Network (DTN) UK

This article summarises the Joint British Diabetes Societies for Inpatient Care (JBDS-IP) Group guidelines on the use of technology to support diabetes care in hospital. The guideline incorporates two main areas: (i) use of wearable technology devices to improve diabetes management in hospital (including continuous glucose monitoring and insulin pump therapy) and (ii) information technology. Although it is reasonable to extrapolate from the evidence available, that devices developed to enhance diabetes care outside hospital will show similar benefits, there are challenges posed within the inpatient setting in hospital. This guidance provides a pragmatic approach to supporting self-management in individuals using wearable technology admitted to hospital. Furthermore, it also aims to provide a best practice guide for using information technology to monitor diabetes care and communicate between health professionals.

High Frequency of Severe Hyperglycemia Observed During Intensive Hematologic Care: A Prospective Study Using Continuous Glucose Monitoring

OBJECTIVE

During intensive hematologic care, patients are exposed to high-dose chemotherapy, corticosteroids, immunosuppressants, and total parenteral nutrition. Combined with physiologic stress and increased release of cytokines and hormones, this can lead to dysglycemia, which is associated with adverse clinical outcomes. This prospective study aimed to investigate continuous glucose monitoring (CGM) to identify dysglycemia during intensive hematologic care.

METHODS

Patients receiving chimeric antigen receptor T-cell therapy or allogeneic or autologous stem cell transplantation were eligible. Throughout the study, glucose levels were concurrently monitored using CGM and point-of-care (POC) glucose measurements in 60 patients (71% male, median age of 64 [interquartile range, 58-68] years, and 10% with diabetes).

RESULTS

Hyperglycemia (glucose level, >10 mmol/L) was prevalent in 93% of patients, of whom 90% had no history of diabetes. Severe hyperglycemia (glucose level, >13.1 mmol/L) was present in 38%. Additionally, hyperglycemia was associated with prolonged hospitalization in patients undergoing chimeric antigen receptor T-cell treatment (β, 0.19; 95% CI, 0.04-0.35) and autologous stem cell transplantation (β, 0.16; 95% CI, 0.01-0.32). CGM outperformed POC in detecting hyperglycemia (>10 mmol/L: 1060 vs 124, detected 2.8 [interquartile range, 0.7-4.0]) hours earlier. The mean absolute relative difference between CGM and POC was 21.5%, with 99.8% of measurements in the clinical acceptable zone A + B of the Clarke error grid.

CONCLUSION

These findings emphasize the potential and importance of glucose monitoring with CGM for improved and earlier detection of hyperglycemia, in this patient population, which seems feasible. Our results suggest a need for further studies into CGM as method to optimize glucose levels, which could improve outcomes in patients receiving intensive hematologic care.

Evaluating the Impact of Continuous Glucose Monitoring on Erectile Dysfunction in Type 1 Diabetes: A Focus on Reducing Glucose Variability and Inflammation

Type 1 diabetes (T1D) severely impairs metabolic control and can lead to erectile dysfunction (ED) through hyperglycemia-induced vascular damage, autonomic neuropathy, and psychological distress. This review examines the role of continuous glucose monitoring (CGM) in ameliorating ED by addressing glucose variability and inflammation. A comprehensive analysis of studies and clinical trials was conducted to evaluate the impact of CGM on metabolic control, inflammatory responses, and vascular health in patients with T1D. Evidence suggests that CGM systems significantly stabilize blood glucose levels and reduce hyper- and hypoglycemic episodes that contribute to endothelial dysfunction and ED. CGM's real-time feedback helps patients optimize metabolic control, improve vascular health, and reduce inflammation. CGM has the potential to redefine ED management in patients with T1D by improving glycemic control and reducing the physiological stressors that cause ED, potentially improving quality of life and sexual health. Further research is warranted to explore the specific benefits of CGM for ED management.

Perioperative glucose monitoring with continuous glucose monitors identifies risk factors for post-transplant diabetes mellitus in kidney transplant recipients

Post-transplantation diabetes mellitus (PTDM) negatively affects graft and patient survival after kidney transplantation (KT). This prospective study used continuous glucose monitoring (CGM) to evaluate perioperative blood glucose dynamics, identify PTDM risk factors, and compare predictive accuracy with capillary blood glucose monitoring (CBGM) in 60 non-diabetic living-donor KT recipients. Patients underwent 2-week pre- and postoperative CGM, including routine CBGM during their in-hospital stays. PTDM-related risk factors and glucose profiles were analyzed with postoperative CGM and CBG. PTDM developed in 14 (23.3%) patients and was associated with older age, male sex, higher baseline HbA1c, high-density lipoprotein cholesterol, and 3-month cumulative tacrolimus exposure levels. Male sex and postoperative time above the range (TAR) of 180 mg/dL by CGM were PTDM-related risk factors in the multivariate analysis. For predictive power, the CGM model with postoperative glucose profiles exhibited higher accuracy compared with the CBGM model (areas under the curves of 0.916, and 0.865, respectively). Therefore, we found that male patients with a higher postoperative TAR of 180 mg/dL have an increased risk of PTDM. Postoperative CGM provides detailed glucose dynamics and demonstrates superior predictive potential for PTDM than CBGM.

Summary of clinical investigation plan for The DIATEC trial: in-hospital diabetes management by a diabetes team and continuous glucose monitoring or point of care glucose testing - a randomised controlled trial

BACKGROUND

Worldwide, up to 20 % of hospitalised patients have diabetes mellitus. In-hospital dysglycaemia increases patient mortality, morbidity, and length of hospital stay. Improved in-hospital diabetes management strategies are needed. The DIATEC trial investigates the effects of an in-hospital diabetes team and operational insulin titration algorithms based on either continuous glucose monitoring (CGM) data or standard point-of-care (POC) glucose testing.

METHODS

This is a two-armed, two-site, prospective randomised open-label blinded endpoint (PROBE) trial. We recruit non-critically ill hospitalised general medical and orthopaedic patients with type 2 diabetes treated with basal, prandial, and correctional insulin (N = 166). In both arms, patients are monitored by POC glucose testing and diabetes management is done by ward nurses guided by in-hospital diabetes teams. In one of the arms, patients are monitored in addition to POC glucose testing by telemetric CGM viewed by the in-hospital diabetes teams only. The in-hospital diabetes teams have operational algorithms to titrate insulin in both arms. Outcomes are in-hospital glycaemic and clinical outcomes.

DISCUSSION

The DIATEC trial will show the glycaemic and clinical effects of in-hospital CGM handled by in-hospital diabetes teams with access to operational insulin titration algorithms in non-critically ill patients with type 2 diabetes. The DIATEC trial seeks to identify which hospitalised patients will benefit from CGM and in-hospital diabetes teams compared to POC glucose testing. This is essential information to optimise the use of healthcare resources before broadly implementing in-hospital CGM and diabetes teams.

TRIAL REGISTRATION

Prospectively registered at ClinicalTrials.gov with identification number NCT05803473 on March 27th 2023.

Nurses' practice of metabolic monitoring for patients on antipsychotics in Lesotho

Background

Severe mental illness is associated with higher physical health morbidities and reduced life expectancy, with an estimated 14.3% of global deaths attributed to mental disorders. Antipsychotic medications (APs) used in treatment contribute to physical health issues, including metabolic and cardiovascular effects.

Aim

The aim of this study was to assess nurses' practices regarding metabolic monitoring for patients prescribed antipsychotic medications at Mohlomi Hospital in Lesotho.

Setting

The study was conducted at Mohlomi Hospital, the primary psychiatric facility in Lesotho.

Methods

Using a cross-sectional design, 44 nurses from Mohlomi Hospital participated in the study. A structured questionnaire assessed nurses' metabolic monitoring practices.

Results

Most of the respondents were female (n = 30, 75%), and minority were male (n = 10, 25%). The academic qualifications of respondents were distributed as follows: 40% (16) held a nursing assistant certificate and 22.5% (9) held an advanced nursing diploma, among others. The average age of all respondents was 39.05 (s.d. 8.9), with an average of 8 years of experience in psychiatry (s.d. 7.6). The overall rate of nurses' practices of metabolic monitoring for patients taking antipsychotic medications showed variability, with a mean score of 2.83 (s.d. 0.524). However, only 20% performed ECG tests, 22.5% measured blood pressure, 27.5% tested for glucose abnormalities and 17.5% conducted lipid profile testing.

Conclusion

Results revealed a significant gap in the practice of metabolic monitoring among nurses with various aspects of metabolic monitoring, not being adequately monitored.

Contribution

The study's findings shall inform policy and guidelines for monitoring patients on antipsychotic medications while guiding future research.

Accuracy and Safety of the 15-Day CareSens Air Continuous Glucose Monitoring System

Background: We evaluated the accuracy and safety of the CareSens Air, a novel real-time continuous glucose monitoring system (CGMS), during 15 days of use in adults with diabetes. Methods: Adults with either type 1 diabetes or type 2 diabetes requiring intensive insulin therapy participated at four sites in South Korea. All participants wore the sensor for 15 days. Participants were scheduled for four 8-h clinic sessions on Day 1, 5 ± 1, 10 ± 1, and 15. Accuracy was evaluated based on the proportion of continuous glucose monitoring (CGM) values within 15% of YSI values ≥100 mg/dL or within 15 mg/dL of YSI values <100 mg/dL (%15/15), along with the %20/20, %30/30, and %40/40 agreement rates. The mean absolute relative difference (MARD) between the CGM and YSI values was calculated. Results: Data from 83 participants (83 sensors, 10,029 CGM-YSI matched pairs) were analyzed. The overall MARD was 10.42%, and the overall %15/15, %20/20, %30/30, and %40/40 accuracy were 78.55%, 89.04%, 96.47%, and 98.87%, respectively. The consensus error grid analysis showed that 99.92% of CGM values fell into Zone A or B (Zone A: 89.83%, Zone B: 10.09%). The %20/20 accuracy of CGMS was 88.11% on Day 1, 90.11% on Day 3-5, 92.09% on Day 8-10, and 85.63% on Day 15. No serious adverse events were reported. Conclusions: The CareSens Air demonstrated accurate performance across the wide glycemic range and was well tolerated during the 15-day sensor use period.

Glucose management in critically ill adults: A qualitative study from the experiences of health care providers

Aims and objective

To explain the components and elements of glucose management in critically ill adult patients from the healthcare providers' experiences.

Background

Critically ill adults are highly susceptible to stress-induced hyperglycaemia due to glucose metabolic disorders. Healthcare workers play a key role in the glycaemic management of critically ill patients. However, there is a lack of qualitative studies on the content and elements of glycaemic management and healthcare workers' perceptions about glycaemic management in China.

Design

Qualitative study that followed the Consolidated Criteria for Reporting Qualitative Research (COREQ) guidelines.

Methods

Individual semi-structured interviews were conducted from January to April 2022. Fifteen physicians and nurses were recruited from ten hospitals in mainland China. Data were analysed using inductive thematic analysis.

Results

Glucose management in critically ill adult patients from their experiences included two parts: the inner ring (practice behaviours) and the external space (methods and drivers). The practice behaviours of glucose management include five elements, while the methods and drivers of glucose management focus on three elements. The content covered under each element was identified.

Conclusion

This study developed a glycaemic management model for critically ill adult patients, clarified its elements based on the perceptions of healthcare providers and elaborated on the methods and drivers covered under each element to provide a reference for physicians and nurses to develop a comprehensive glycaemic management guideline for critically ill adult patients.

Relevance to clinical practice

Our study proposed a glucose management practice model for critically ill adult patients, and the elements and components included in this model can provide a reference for physicians and nurses when performing glucose management in critically ill patients.

Comparison of Glycemia Risk Index with Time in Range for Assessing Glycemic Quality

Background: The glycemia risk index (GRI) is a novel composite continuous glucose monitoring (CGM) metric that gives greater weight to hypoglycemia than to hyperglycemia and to extreme hypo/hyperglycemia over less extreme hypo/hyperglycemia. This study aimed at validating the effectiveness of GRI and at comparing it with time in range (TIR) in assessing glycemic quality in clinical practice. Methods: A total of 524 ninety-day CGM tracings of 194 insulin-treated adults with diabetes were included in the analysis. GRI was assessed according to standard metrics in ambulatory glucose profiles. Both cross-sectional and longitudinal analyses were performed to compare the GRI and TIR. Results: The GRI was strongly correlated not only with TIR (r = -0.974), but also with the coefficient of variation (r = 0.683). To identify whether the GRI differed by hypoglycemia even with a similar TIR, CGM tracings were grouped according to TIR (50% to <60%, 60% to <70%, 70% to <80%, and ≥80%). In each TIR group, the GRI increased as time below range (TBR)<70 mg/dL increased (P < 0.001 for all TIR groups). In longitudinal analysis, as TBR<70 mg/dL improved, the GRI improved significantly (P = 0.003) whereas TIR did not (P = 0.704). Both GRI and TIR improved as time above range (TAR)>180 mg/dL improved (P < 0.001 for both). The longitudinal change was easily identifiable on a GRI grid. Conclusions: The GRI is a useful tool for assessing glycemic quality in clinical practice and reflects hypoglycemia better than does TIR.

A randomized trial of continuous glucose monitoring to improve post-transplant glycemic control

INTRODUCTION

This study examines whether the use of inpatient Continuous Glucose Monitors provides improved glycemic control over finger-stick glucose monitoring post-transplant.

METHODS

This is a single-site, prospective randomized controlled trial of 40 patients receiving conventional finger-stick glucose monitoring or continuous monitoring using the Medtronic Guardian Sensor 3 during the first 5 days post-transplant. Included patients were adult renal transplant recipients with a diagnosis of diabetes. Assessed endpoints included post-transplant daily median glucose level, hyperglycemic (≥180 mg/dL) and hypoglycemic (≤80 mg/dL) episodes, number of post-transplant bacterial infections and length of stay.

RESULTS

Groups were well matched in demographic variables. Median daily glucose was significantly lower in the intervention group. There were also significantly less episodes of hyperglycemia on postoperative days 2, 3, 4, and 5. There were no differences in the incidences of hypoglycemia, postoperative bacterial infections, or length of stay.

CONCLUSION

In this randomized study, the use of a continuous glucose monitor to guide post-transplant glucose management significantly lowered the incidence of hyperglycemic episodes and median glucose levels through the first 5 days post-transplant without increasing the number of hypoglycemic episodes. The use of these devices can be considered in the immediate post-renal transplant setting.

Staff knowledge, attitudes and practices regarding glycaemic management in adult intensive care units: A national survey

BACKGROUND

Hyperglycaemia is common in critically ill adult patients. Many studies have identified the content, methods, and effects of glycaemic control but have not explored the effects of knowledge, attitudes, and practices (KAP) on glycaemic control in critically ill adults. Various factors also influence the KAP of intensive care unit (ICU) staff.

AIMS

To assess KAP regarding glucose management for critically ill adults among nurses and medical professionals and identify the factors that influence their KAP in ICUs.

METHODS

A multicentre cross-sectional survey.

RESULTS

In total, 403/459 (response rate: 87.8%) participants from ICUs in nine tertiary hospitals in China participated in this study, 82.4% of whom were female and 93.4% of whom were nurses. The mean work experience was 8.88 years, and the mean critical care experience was 6.59 years. The scoring rate for the three dimensions of knowledge, attitudes, and practices were 82.35%, 87.69%, and 76%, respectively. We did not find any other factors affecting the KAP scores except for the level of knowledge awareness (p < 0.001), awareness of the importance (p < 0.001), and training for glucose control (p = 0.004).

CONCLUSION

ICU staff KAP regarding glycaemic control in critically ill adults among ICU professionals were acceptable in China. However, ICU professionals' current knowledge regarding nutrition, glucose variability, and skills related to glucose management could be improved.

RELEVANCE TO CLINICAL PRACTICE

ICU educators should provide more skills-related training for healthcare professionals in the glycaemic management of critically ill adults. Moreover, the process of managing blood glucose in adult ICU patients is a collaborative, multidisciplinary team effort, with monitoring and feedback required during implementation.

Continuous glucose monitoring for inpatient diabetes management: an update on current evidence and practice

Over the last few years, several exciting changes in continuous glucose monitoring (CGM) technology have expanded its use and made CGM the standard of care for patients with type 1 and type 2 diabetes using insulin therapy. Consequently, hospitals started to notice increased use of these devices in their hospitalized patients. Furthermore during the coronavirus disease 2019 (COVID) pandemic, there was a critical need for innovative approaches to glycemic monitoring, and several hospitals started to implement CGM protocols in their daily practice. Subsequently, a plethora of studies have demonstrated the efficacy and safety of CGM use in the hospital, leading to clinical practice guideline recommendations. Several studies have also suggested that CGM has the potential to become the standard of care for some hospitalized patients, overcoming the limitations of current capillary glucose testing. Albeit, there is a need for more studies and particularly regulatory approval. In this review, we provide a historical overview of the evolution of glycemic monitoring in the hospital and review the current evidence, implementation protocols, and guidance for the use of CGM in hospitalized patients.

Type 1 Diabetes Overview and Perioperative Management

Type 1 diabetes (T1D) is an increasingly common condition. Although often more effective, treatment regimens for patients with T1D have become more variable and complex with newer insulin analogues and increasing use of diabetes technology. Both surgery and anesthesia are known to trigger a stress response that causes dramatic metabolic changes in the patient that tend to increase glucose variability. Close monitoring of glucose levels and clear algorithms for insulin administration can ameliorate these characteristic responses. As T1D treatment technology becomes more effective at maintaining glucose in target range, there should be more consideration of using this technology during hospitalization and surgery.

Clinical use of continuous glucose monitoring in critically ill pediatric patients with diabetic ketoacidosis

BACKGROUND

The use of continuous glucose monitoring (CGM) in pediatric patients with diabetic ketoacidosis (DKA) remains investigational, and data on its accuracy in pediatric intensive care units (PICU) are limited. This study evaluated the accuracy of three CGM devices in pediatric patients with DKA in the PICU.

METHODS

We compared 399 matched pairs of CGM and point-of-care (POC) capillary glucose values and grouped patients based on whether they changed their CGM sensor during their PICU stay.

RESULTS

Eighteen patients with a mean age of 10.98 ± 4.20 years were included, with three patients in the sensor change group. The overall mean absolute relative difference (MARD) was 13.02 %. The Medtronic Guardian Sensor 3 (n = 331), Dexcom G6 (n = 41), and Abbott FreeStyle Libre 1 (n = 27) showed MARD values of 13.40, 11.12, and 11.33 %, respectively. The surveillance error grid (SEG), Bland-Altman plot, and Pearson's correlation coefficient demonstrated satisfactory clinical accuracy of the CGM devices (SEG zones A and B, 98.5%; mean difference, 15.5 mg/dL; r2, 0.76, p<0.0001). MARD was significantly lower in subjects who did not experience a sensor change (11.74 % vs. 17.31 %, p<0.048). Also, a statistically significant negative correlation was found between serum bicarbonate levels and POC-CGM values (r = -0.34, p<0.001).

CONCLUSIONS

The severity of DKA has a major effect on reducing the accuracy of the CGM, especially during the first several days in the ICU. The reduced accuracy appears to be related to acidosis, as reflected in the serum bicarbonate levels.

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.

Implementation of Continuous Glucose Monitoring in Critical Care: A Scoping Review

PURPOSE OF REVIEW

The aim of this review is to identify the implementation approaches, strategies, and outcomes for continuous glucose monitoring (CGM) in the intensive care unit (ICU). Medline and Web of Science databases were searched to report relevant literature published between September 12, 2016 and September 12, 2021. Implementation outcomes and strategies, defined by the Expert Recommendations for Implementing Change (ERIC) project, were extracted.

RECENT FINDINGS

Of the 324 titles reviewed, 16 articles were included in the review. While no studies were identified as implementation research, 14 of 16 identified implementation strategies that aligned with ERIC definitions. Included studies described a multi-disciplinary approach. Clinical outcomes included Mean Absolute Relative Difference (MARD), ranging from 7.5 to 15.3%, and 33-71% reduction in frequency of point-of-care (POC) blood glucose monitoring (BGM) using hybrid protocols. This scoping review provides valuable insight into the process of CGM implementation in the ICU. Continued research should include implementation outcomes to inform widespread utilization.

Use of Continuous Glucose Monitors to Manage Type 1 Diabetes Mellitus: Progress, Challenges, and Recommendations

Type 1 diabetes (T1D) management has been revolutionized with the development and routine utilization of continuous glucose monitoring (CGM). CGM technology has allowed for the ability to track dynamic glycemic fluctuations and trends over time allowing for optimization of medical therapy and the prevention of dangerous hypoglycemic events. This review details currently-available real-time and intermittently-scanned CGM devices, clinical benefits, and challenges of CGM use, and current guidelines supporting its use in the clinical care of patients with T1D. We additionally describe future issues that will need to be addressed as CGM technology continues to evolve.

Continuous Glucose Monitoring for Patients with COVID-19 Pneumonia: Initial Experience at a Tertiary Care Center

OBJECTIVE

Patients hospitalized with COVID-19 and hyperglycemia require frequent glucose monitoring, usually performed with glucometers. Continuous glucose monitors (CGMs) are common in the outpatient setting but not yet approved for hospital use. We evaluated CGM accuracy, safety for insulin dosing, and CGM clinical reliability in 20 adult patients hospitalized with COVID-19 and hyperglycemia.

METHODS

Study patients were fitted with a remotely monitored CGM. CGM values were evaluated against glucometer readings. The CGM sensor calibration was performed if necessary. CGM values were used to dose insulin, without glucometer confirmation.

RESULTS

CGM accuracy against glucometer, expressed as mean absolute relative difference (MARD), was calculated using 812 paired glucometer-CGM values. The aggregate MARD was 10.4%. For time in range and grades 1 and 2 hyperglycemia, MARD was 11.4%, 9.4%, and 9.1%, respectively, with a small variation between medical floors and intensive care units. There was no MARD correlation with mean arterial blood pressure levels, oxygen saturation, daily hemoglobin levels, and glomerular filtration rates. CGM clinical reliability was high, with 99.7% of the CGM values falling within the "safe" zones of Clarke error grid. After CGM placement, the frequency of glucometer measurements decreased from 5 to 3 and then 2 per day, reducing nurse presence in patient rooms and limiting viral exposure.

CONCLUSION

With twice daily, on-demand calibration, the inpatient CGM use was safe for insulin dosing, decreasing the frequency of glucometer fingersticks. For glucose levels >70 mg/dL, CGMs showed adequate accuracy, without interference from vital and laboratory values.

The Need for Data Standards and Implementation Policies to Integrate CGM Data into the Electronic Health Record

The current lack of continuous glucose monitor (CGM) data integration into the electronic health record (EHR) is holding back the use of this wearable technology for patient-generated health data (PGHD). This failure to integrate with other healthcare data inside the EHR disrupts workflows, removes the data from critical patient context, and overall makes the CGM data less useful than it might otherwise be. Many healthcare organizations (HCOs) are either struggling with or delaying designing and implementing CGM data integrations. In this article, the current status of CGM integration is reviewed, goals for integration are proposed, and a consensus plan to engage key stakeholders to facilitate integration is presented.

Insulin Pumps and Hybrid Close Loop Systems Within Hospital: A Scoping Review and Practical Guidance From the Joint British Diabetes Societies for Inpatient Care

This article is the second of a two-part series providing a scoping review and summary of the Joint British Diabetes Societies for Inpatient Care (JBDS-IP) guidelines on the use of diabetes technology in people with diabetes admitted to hospital. The first part reviewed the use of continuous glucose monitoring (CGM) in hospital. In this article, we focus on the use of continuous subcutaneous insulin infusion (CSII; insulin pumps) and hybrid closed-loop systems in hospital. JBDS-IP advocates enabling people who can self-manage and are willing and capable of using CSII to continue doing so as they would do out of hospital. CSII should be discontinued if the individual is critically ill or hemodynamically unstable. For individuals on hybrid closed-loop systems, the system should be discontinued from auto-mode, and may be used individually (as CGM only or CSII only, if criteria are met). Continuing in closed-loop mode may only be done so under specialist guidance from the Diabetes Team, where the diabetes teams are comfortable and knowledgeable about the specific devices used. Health care organizations need to have clear local policies and guidance to support individuals using these wearable technologies, and ensure the relevant workforce is capable and skilled enough to ensure their safe use within the hospital setting.

Continuous Glucose Monitoring Within Hospital: A Scoping Review and Summary of Guidelines From the Joint British Diabetes Societies for Inpatient Care

Increasing numbers of people, particularly with type 1 diabetes (T1D), are using wearable technologies. That is, continuous subcutaneous insulin infusion (CSII) pumps, continuous glucose monitoring (CGM) systems, and hybrid closed-loop systems, which combine both these elements. Given over a quarter of all people admitted to hospital have diabetes, there is a need for clinical guidelines for when people using them are admitted to hospital. The Joint British Diabetes Societies for Inpatient Care (JBDS-IP) provide a scoping review and summary of guidelines on the use of diabetes technology in people with diabetes admitted to hospital.JBDS-IP advocates enabling people who can self-manage and use their own diabetes technology to continue doing so as they would do out of hospital. Whilst people with diabetes are recommended to achieve a target of 70% time within range (3.9-10.0 mmol/L [70-180 mg/dL]), this can be very difficult to achieve whilst unwell. We therefore recommend targeting hypoglycemia prevention as a priority, keeping time below 3.9 mmol/L (70 mg/dL) at < 1%, being aware of looming hypoglycemia if glucose is between 4.0 and 5.9 mmol/L (72-106 mg/dL), and consider intervening, particularly if there is a downward CGM trend arrow.Health care organizations need clear local policies and guidance to support individuals using diabetes technologies, and ensure the relevant workforce is capable and skilled enough to ensure their safe use within the hospital setting. The current set of guidelines is divided into two parts. Part 1, which follows below, outlines the guidance for use of CGM in hospital. The second part outlines guidance for use of CSII and hybrid closed-loop in hospital.

The Devil Is in the Details: Use, Limitations, and Implementation of Continuous Glucose Monitoring in the Inpatient Setting

Until recently, continuous glucose monitoring (CGM) systems were reserved for use in the outpatient setting or for investigational purposes in hospitalized patients. However, during the coronavirus disease 2019 pandemic, use of CGM in the inpatient setting has grown rapidly. This review outlines important details related to the accuracy, limitations, and implementation of, as well as necessary staff education for, inpatient CGM use and offers a glimpse into the future of CGM in the inpatient setting.

Effects of Patient-Driven Lifestyle Modification Using Intermittently Scanned Continuous Glucose Monitoring in Patients With Type 2 Diabetes: Results From the Randomized Open-label PDF Study

OBJECTIVE

To investigate the effects of patient-driven lifestyle modification using intermittently scanned continuous glucose monitoring (isCGM) in patients with type 2 diabetes (T2D).

RESEARCH DESIGN AND METHODS

We conducted a 12-week, open-label, randomized controlled trial. A total of 126 participants were 1:1 randomized to either the intervention group (structured education + isCGM) or the control group (standard care with blood glucose monitoring). The Self-Evaluation Of Unhealthy foods by Looking at postprandial glucose (SEOUL) algorithm was developed and applied to aid structured education in guiding patients to follow healthy eating behavior depending on the postprandial glycemic response. The primary end point was the change in HbA1c level from baseline.

RESULTS

Implementation of the SEOUL algorithm with isCGM was associated with greater improvement in HbA1c than with standard care (risk-adjusted difference -0.50%, 95% CI -0.74 to -0.26, P < 0.001). Participants in the intervention group had a greater reduction in fasting blood glucose and body weight (-16.5 mg/dL, 95% CI -30.0 to -3.0, P = 0.017; -1.5 kg, 95% CI -2.7 to -0.3, P = 0.013, respectively). The score sum for the Korean version of the revised Summary of Diabetes Self-Care Activities Questionnaire increased in both groups but to a greater extent in the intervention group (mean difference 4.8, 95% CI 1.7-8.0, P = 0.003). No severe hyperglycemia or hypoglycemia was reported in either group of patients.

CONCLUSIONS

Patient-driven lifestyle modification primarily focused on eating behavior using isCGM effectively lowered HbA1c levels in patients with T2D.

Hospital Diabetes Meeting 2022

The annual Virtual Hospital Diabetes Meeting was hosted by Diabetes Technology Society on April 1 and April 2, 2022. This meeting brought together experts in diabetes technology to discuss various new developments in the field of managing diabetes in hospitalized patients. Meeting topics included (1) digital health and the hospital, (2) blood glucose targets, (3) software for inpatient diabetes, (4) surgery, (5) transitions, (6) coronavirus disease and diabetes in the hospital, (7) drugs for diabetes, (8) continuous glucose monitoring, (9) quality improvement, (10) diabetes care and educatinon, and (11) uniting people, process, and technology to achieve optimal glycemic management. This meeting covered new technology that will enable better care of people with diabetes if they are hospitalized.

Subcutaneous continuous glucose monitoring in critically ill patients during insulin therapy: a meta-analysis

BACKGROUND

Using continuous glucose monitoring (CGM) in critically ill adult patients requiring insulin therapy has increased with inconsistent results. Thus, we conducted a meta-analysis to assess the effect of CGM and frequent point-of-care (POC) measurements in such a patient population.

METHODS

We searched PubMed, Embase, Cochrane Library, China national knowledge infrastructure, and Wanfang for relevant articles from inception to Jan 15, 2022. Randomized controlled trials (RCTs) were considered if they focused on critically ill patients who required insulin and were treated with CGM or any POC measurements. We used the Cochrane risk evaluating tool to assess study quality. Subgroup analysis and publication bias were also conducted.

RESULTS

We finally included 19 RCTs with 1,852 participants. The quality of the included studies were at a low to moderate levels. Overall, CGM devices significantly reduced hypoglycemia incidence (Risk ratio (RR) 0.35; 95% CI, 0.25-0.49; P<0.00001) than the POC measurement. Further subgroup and sensitivity analyses confirmed this result. The CGM group also had lower overall mortality (RR 0.54; 95% CI, 0.34-0.86; P=0.01), lower glucose variability, and nosocomial infection. The time in, below, or above target blood glucose range, insulin use, and length of stay in the ICU were comparable between the two groups. In addition, few studies provided data in favor of decreased nursing workload and medical costs in the CGM group.

CONCLUSIONS

The CGM technique could significantly reduce hypoglycemia incidence, overall mortality, and glucose variability compared to POC measurement in critically ill patients. However, further large, well-designed RCTs are required to confirm our results.

Stress-Induced Hyperglycemia: Consequences and Management

Hyperglycemia during stress is a common occurrence seen in patients admitted to the hospital. It is defined as a blood glucose level above 180mg/dl in patients without pre-existing diabetes. Stress-induced hyperglycemia (SIH) occurs due to an illness that leads to insulin resistance and decreased insulin secretion. Such a mechanism causes elevated blood glucose and produces a complex state to manage with external insulin. This article compiles various studies to explain the development and consequences of SIH in the critically ill that ultimately lead to an increase in mortality while also discussing the dire impact of SIH on certain acute illnesses like myocardial infarction and ischemic stroke. It also evaluates multiple studies to understand the management of SIH with insulin and proper nutritional therapy in the hospitalized patients admitted to the Intensive care unit (ICU) alongside the non-critical care unit. While emphasizing the diverse effects of improper control of SIH in the hospital, this article elucidates and discusses the importance of formulating a discharge plan due to an increased risk of type 2 diabetes in the recovered.

Real-Time Monitoring of Blood Parameters in the Intensive Care Unit: State-of-the-Art and Perspectives

The number of patients in intensive care units has increased over the past years. Critically ill patients are treated with a real time support of the instruments that offer monitoring of relevant blood parameters. These parameters include blood gases, lactate, and glucose, as well as pH and temperature. Considering the COVID-19 pandemic, continuous management of dynamic deteriorating parameters in patients is more relevant than ever before. This narrative review aims to summarize the currently available literature regarding real-time monitoring of blood parameters in intensive care. Both, invasive and non-invasive methods are described in detail and discussed in terms of general advantages and disadvantages particularly in context of their use in different medical fields but especially in critical care. The objective is to explicate both, well-known and frequently used as well as relatively unknown devices. Furtehrmore, potential future direction in research and development of realtime sensor systems are discussed. Therefore, the discussion section provides a brief description of current developments in biosensing with special emphasis on their technical implementation. In connection with these developments, the authors focus on different electrochemical approaches to invasive and non-invasive measurements in vivo.

The Role of the Diabetes Care and Education Specialist in the Hospital Setting

It is the position of Association of Diabetes Care & Education Specialists that all inpatient interdisciplinary teams include a diabetes care and education specialist to lead or support quality improvement initiatives that affect persons hospitalized with diabetes and/or hyperglycemia. This encompasses not only patient, family, and caregiver education but also education of interdisciplinary team members and achievement of diabetes-related organizational quality metrics and performance outcomes.

Continuous glucose monitoring in the hospital: an update in the era of COVID-19

PURPOSE OF REVIEW

Continuous glucose monitoring (CGM) systems are Food and Drug Administration approved devices for the ambulatory setting; however, they remain investigational systems for inpatient use. This review summarizes the most recent and relevant literature on the use of continuous glucose monitoring in the hospital setting.

RECENT FINDINGS

CGM provides real-time glucose data that enable healthcare professionals to make proactive and timelier clinical decisions with regards to diabetes management. CGM devices appear to be safe and accurate systems for glucose monitoring in the hospital setting. Real-time CGM systems and glucose telemetry can decrease hypoglycemia and reduce hyperglycemia in hospitalized patients with diabetes. Remote glucose monitoring decreases the need of frequent Point-of-care checks and personal protective equipment use while also mitigating staff exposure risk which is timely in the advent of the COVID-19 pandemic. Although most nursing staff have limited exposure and training on CGM technology, early studies show that CGM use in the hospital is well received by nurses.

SUMMARY

Given the evidence in the current literature regarding CGM use in the hospital, CGM devices may be incorporated in the inpatient setting.

Novel Glycemic Index Based on Continuous Glucose Monitoring to Predict Poor Clinical Outcomes in Critically Ill Patients: A Pilot Study

AIM

We explored the prospective relationship between continuous glucose monitoring (CGM) metrics and clinical outcomes in patients admitted to the intensive care unit (ICU).

MATERIALS AND METHODS

We enrolled critically ill patients admitted to the medical ICU. Patients with an Acute Physiology and Chronic Health Evaluation (APACHE) score ≤9 or ICU stay ≤48 h were excluded. CGM was performed for five days, and standardized CGM metrics were analyzed. The duration of ICU stay and 28-day mortality rate were evaluated as outcomes.

RESULTS

A total of 36 patients were included in this study (age [range], 49-88 years; men, 55.6%). The average APACHE score was 25.4 ± 8.3; 33 (91.7%) patients required ventilator support, and 16 (44.4%) patients had diabetes. The duration of ICU stay showed a positive correlation with the average blood glucose level, glucose management indicator (GMI), time above range, and GMI minus (-) glycated hemoglobin (HbA1c). Eight (22.2%) patients died within 28 days, and their average blood glucose levels, GMI, and GMI-HbA1c were significantly higher than those of survivors (p<0.05). After adjustments for age, sex, presence of diabetes, APACHE score, and dose of steroid administered, the GMI-HbA1c was associated with the risk of longer ICU stay (coefficient=2.34, 95% CI 0.54-4.14, p=0.017) and higher 28-day mortality rate (HR=2.42, 95% CI 1.01-5.76, p=0.046).

CONCLUSION

The acute glycemic gap, assessed as GMI-HbA1c, is an independent risk factor for longer ICU stay and 28-day mortality rate. In the ICU setting, CGM of critically ill patients might be beneficial, irrespective of the presence of diabetes.

Evaluating perioperative glycemic status after different types of pancreatic surgeries via continuous glucose monitoring system: a pilot study

Background

Perioperative glycemic status after pancreatic surgery has never been described. However, it's essential for optimal perioperative glucose management and understanding the pathogenesis of new-onset diabetes mellitus (NODM) after pancreatectomy. Continuous glucose monitoring (CGM) system provides us a helpful tool for closely monitoring and studying perioperative glucose change. This study tried to describe and compare perioperative glucose level and glycemic variability between different types of pancreatic surgeries via CGM device.

Methods

This study was designed as a prospective observational study. Eighteen patients were enrolled and were grouped by different types of surgery received: control group (CTRL), pancreaticoduodenectomy (PD), distal pancreatectomy (DP), and total pancreatectomy (TP). CGM devices were implanted and initiated right after the surgery. Mean glucose value (MGV), coefficient of variation (CV), mean of daily difference (MODD), continuous overall net glycemic action (CONGA), and time above range (TAR)/time below range (TBR) was compared between groups to assess glucose level and glycemic variability.

Results

TP showed the highest MGV and CV among all groups (P<0.001), while CTRL showed the lowest (P<0.001). PD and DP had similar MGV and CV lower than TP but higher than CTRL (P<0.001). TP had the highest MODD and CONGA, CTRL had the lowest, but no significant differences were found between groups. TP had the highest TAR (24.29%) and the lowest TBR (1.28%), while the control group showed the opposite. The differences in TAR/TBR between groups were all significant (P<0.05).

Conclusions

TP had the highest mean glucose level and the greatest glycemic variability. PD and DP had similar results: a higher mean glucose level than control but lower than TP. For glycemic variability, PD and DP seemed to have a near-normal result resembling the control group. CGM is useful for glucose monitoring in the perioperative management of pancreatic surgery.