The consequences of hypoglycaemia

Dysfunctional glucose metabolism triggers oxidative stress to induce kidney injury in diabetes

In this editorial, we discussed the article published in the recent issue of the World Journal of Diabetes. To understand the effect of mizagliflozin on kidney injury induced by diabetes, we focused on the mechanisms by which high glucose triggers oxidative stress and contributes to kidney injury in diabetes. The high level of unmetabolized glucose reaching the kidney triggers glucose reabsorption by renal tubules, which elevates the cellular glucose level of renal cells. High glucose induces lactate dehydrogenase overexpression and thus shifts glucose metabolism, which causes mitochondrial dysfunction. Mitochondria generate approximately 90% of the reactive oxygen species in cells, whose dysfunction further alters glucose metabolism and enhances reactive oxygen species generation. Oxidative stress stimulates proinflammatory factor production and kidney inflammatory injury. Mizagliflozin decreases glucose reabsorption and thus ameliorates diabetes-induced kidney injury.

The effect of automated insulin delivery system use on diabetes distress in people with type 1 diabetes and their caregivers: A systematic review and meta-analysis

AIMS

Diabetes distress (DD) is prevalent among people with diabetes. While automated insulin delivery systems (AIDs) improve glycaemic control, their impact on DD is unclear. We aimed to investigate the effect of AIDs on DD in people with diabetes and their caregivers.

METHODS

We focused on people with diabetes using AIDs versus other insulin delivery systems, with DD as the outcome. We included randomised controlled trials (RCTs), before-after studies (BAS) and observational studies until 4 April 2024. After screening, 40 studies were included in the systematic review, comprising 5426 participants (3210 adults, 1131 paediatric and 1085 caregivers). Twenty-seven studies were selected for the meta-analysis (focusing solely on type 1 diabetes). We used random effects models by population and study design. We also conducted a subgroup analysis by age group (children vs. teenagers).

RESULTS

In adults, eight BAS and five RCTs indicated a significant small DD reduction post-AID initiation (standardised mean difference [95% confidence intervals] -0.32 [95% CI: -0.40, -0.24] and [-0.19 (-0.27, -0.11)]). No significant changes were observed in the paediatric population. In caregivers, eleven BAS and five RCTs indicated a significant moderate DD reduction (-0.48 [95% CI: -0.78, -0.18] and (-0.22 [-0.38, -0.06])). Subgroup analysis revealed an increased benefit in parents of children compared to parents of teenagers.

CONCLUSIONS

This work suggests that AIDs is associated with a DD reduction in adults and caregivers but not in children/teenagers with type 1 diabetes. More longitudinal studies and better systematic DD assessments are needed.

Insulinoma detection on low-dose pancreatic CT perfusion: comparing with conventional contrast-enhanced CT and MRI

OBJECTIVES

To evaluate the efficacy of low-dose pancreatic CT perfusion (pCTP) in detecting insulinomas in patients with recurrent hypoglycemia, and to compare its diagnostic performance with conventional contrast-enhanced CT (CECT) and MRI.

METHODS

This study retrospectively collected 53 patients with recurrent hypoglycemia (28 with insulinomas; 25 without insulinomas). PCTP image analysis was conducted by two radiologists. Quantitative perfusion parameters of insulinomas vs. tumor-free pancreatic parenchyma were analyzed. For cases where both pCTP and CECT/MRI were performed, six radiologists blinded to the patients' diagnosis independently evaluated the pCTP and CECT/MRI to determine the presence and location of insulinoma. The diagnostic performance of insulinoma detection between pCTP and CECT/MRI was compared.

RESULTS

For patients who underwent both CECT and pCTP, the sensitivity (CECT 0.167-0.333 vs. pCTP 0.667-1.000) of tumor detection was higher for five of six radiologists on pCTP than on CECT. For patients who underwent both MRI and pCTP, four radiologists showed higher sensitivity (MRI 0.400-600 vs. pCTP 0.700-0.800) of tumor detection on pCTP than on MRI, while two radiologists showed slightly lower sensitivity (MRI 0.800, 1.000 vs. pCTP 0.700, 0.900) on pCTP. Among perfusion parameters, peak enhancement, blood flow, and mean transit time exhibited higher AUC than blood volume and time to peak.

CONCLUSION

PCTP demonstrated superior diagnostic performance in insulinoma detection among less-experienced radiologists compared to CECT and MRI, while more-experienced radiologists achieved marginally better results with MRI. These findings suggest pCTP's potential as a complementary imaging modality, particularly beneficial for junior radiologists in insulinoma detection.

CRITICAL RELEVANCE STATEMENT

Pancreatic CT perfusion exhibited promising diagnostic performance in insulinoma detection, particularly among junior radiologists, demonstrating the potential to complement conventional imaging modalities and serve as a valuable clinical tool for the detection and localization of insulinoma.

KEY POINTS

Accurate preoperative identification and localization of insulinomas is important for appropriate treatment. Peak enhancement, blood flow, and mean transit time outperformed blood volume and time to peak in insulinoma detection. Pancreatic CT perfusion has the potential to complement conventional imaging modalities for insulinoma detection.

Enhancing Diabetes Treatment: Comparing Pioglitazone/Metformin with Dapagliflozin Versus Basal Insulin/Metformin in Type 2 Diabetes

Aim

The aim of this study was to compare the efficacy and safety of fixed-dose combination (FDC) of pioglitazone and metformin supplemented with dapagliflozin (test group) with those of basal insulin supplemented with metformin (control group) in patients with inadequately controlled type 2 diabetes mellitus (T2DM).

Methods

This 16-week, prospective, randomized, open-label study enrolled patients aged 18-75 years with glycated hemoglobin (HbA1c) levels between ≥ 8% and ≤ 11%. The primary endpoint was the proportion of patients who achieved HbA1c < 7% at week 16 without hypoglycemia or weight gain. The secondary endpoints included blood glucose, lipid profile, body weight, body mass index, inflammatory markers, bone Gla-protein, liver enzymes, and patient satisfaction.

Results

Among the full analysis set of 147 participants, no significant difference was observed in the primary endpoint between the test group and the control group. However, the test group had a higher percentage of patients who achieved HbA1c <7% at week 16 without hypoglycemia and experienced a weight loss of ≥3% (31.51% vs 13.51%, P=0.009). Patients in the test group whose BMI≥24 kg/m2 also achieved a substantial achievement rate (36.73% vs 15.79%, P=0.014). The test group also exhibited a greater reduction in body weight and improvements in 2-hour postprandial glucose level, systolic blood pressure, and lipid profile. Notably, combination therapy did not increase the risk of hypoglycemia or weight gain. Patients in the test group were more satisfied than those in the control group with continuing to accept pioglitazone/metformin FDC combined with dapagliflozin.

Conclusion

In the absence of contraindications, pioglitazone/metformin FDC supplemented with dapagliflozin may serve as a safe and effective alternative to basal insulin combined with metformin for rectifying inadequate glucose control, as the former enables metabolic improvements without compromising safety.

Chinese Clinical Trial Registry Number

CHiCTR2000036076. https://www.chictr.org.cn/showproj.html?proj=58825.

A Review of Carbohydrate Supplementation Approaches and Strategies for Optimizing Performance in Elite Long-Distance Endurance

Carbohydrate supplementation is a common practice among endurance athletes participating in long-distance competitions. However, glycogen storage regulation, in-competition blood glucose levels, and their relationship with athletic performance are influenced by multiple factors. This review summarizes the recent research progress on carbohydrate supplementation, addressing its applications in the pre-, during-, and post-competition phases. It explores variables that influence the effectiveness of carbohydrate supplementation and provides a summary of strategies, based on six key aspects: carbohydrate properties, multi-nutrient interactions, gastrointestinal function, individual differences (such as age and gender), environmental conditions, and psychological factors. The combination of different types, ratios, and concentrations of carbohydrates has been demonstrated to enhance the efficiency of carbohydrate digestion and absorption. The synergistic combination of protein, sodium, and caffeine intake demonstrates enhanced efficacy in carbohydrate supplementation strategies. Gastrointestinal tolerance training for carbohydrate supplementation has been identified as an effective measure to alleviate gastrointestinal discomfort during high-dose carbohydrate intake. The adjustment of the carbohydrate-to-fat ratio and the type of carbohydrate intake has been found to mitigate the impact of gender and menstrual cycles on glycogen storage and substrate utilization. Modifying the timing of glycogen storage and regulating the concentration and temperature of carbohydrate solutions during competition have been demonstrated to facilitate coping with the elevated energy expenditure and metabolic substrate shift from fat to carbohydrates, triggered by a combination of environmental and psychological factors, including special environmental and climatic conditions (e.g., high altitude, high temperature, high humidity, and cold) and emotional states (e.g., pre-competition stress and anxiety during the competition). To achieve precise carbohydrate supplementation for athletes in major events under various competitive environments, it is necessary to quantitatively assess the effects of carbohydrate supplementation, supported by mechanistic studies. This can be achieved by utilizing wearable devices to monitor the entire competition, coupled with data collection technologies, such as high-throughput profiling. Furthermore, emerging data analytics techniques, such as machine learning and causal inference, should be leveraged to refine supplementation strategies.

Efficacy and safety of switching to insulin glargine 300 U/mL in people with type 2 diabetes uncontrolled on basal insulin in China: A post hoc subpopulation analysis of the INITIATION study

AIMS

To evaluate the efficacy and safety of insulin glargine 300 U/mL (Gla-300) in people with uncontrolled type 2 diabetes (T2D) switching from another basal insulin (BI).

MATERIALS AND METHODS

INITIATION was an interventional, single-arm, phase IV study conducted in China. In this post hoc subpopulation analysis, the efficacy and safety of switching to Gla-300 was investigated in individuals with uncontrolled T2D (HbA1c 7.5%-11.0% [58-97 mmol/mol]) with previous BI. The primary endpoint was HbA1c change at week 24. Other measures of glycaemia, hypoglycaemia, insulin dose and weight change were assessed.

RESULTS

Three hundred and two participants switched to Gla-300 from another BI, including 232 from insulin glargine 100 U/mL (Gla-100) and 55 from insulin degludec (IDeg). At week 24, the mean ± standard error (SE) HbA1c change from baseline was -0.87% ± 0.06% (-9.5 ± 0.7 mmol/mol; p <0.001). Significant reductions in fasting plasma glucose (least-squares mean [LSM] change -1.13 mmol/L) and fasting self-measured blood glucose (LSM change -1.36 mmol/L) were also observed (both p <0.001). The mean daily BI dose increased from 18.86 U (0.27 U/kg) at baseline to 28.83 U (0.41 U/kg) at week 24. During the 24-week treatment period, the incidence of any hypoglycaemia was 43.8% for all hypoglycaemia and 15.1% for nocturnal hypoglycaemia; the incidence of severe hypoglycaemia was low (0.7%). Minimal body weight change was documented.

CONCLUSIONS

Gla-300 improved glycaemic control with a relatively low hypoglycaemia risk and minimal weight gain in Chinese people with T2D uncontrolled on previous BI.

Relationship between severe hypoglycemia or impaired awareness of hypoglycemia and diabetes-related health status, global cognition and executive functions in adults with type 1 diabetes without severe anxiety or depression

AIMS

To explore the relationship between impaired awareness of hypoglycemia (IAH) or severe hypoglycemia (SH), and health status and cognition in adults with type 1 diabetes (T1D).

METHODS

T1D adults attending a tertiary diabetes service were recruited into this cross-sectional study. People screening positive for severe anxiety or depression were not included. Hypoglycemia awareness status was assessed using the full-scale and factor 1 of the Minimally Modified Clarke Hypoglycemia Survey (MMCHS; ≥4 and ≥2 = IAH); and data collected on health status (Diabetes Health Profile: barriers to activity, BA; psychological distress, PD; disinhibited eating); global cognition (Montreal Cognitive Assessment); and executive functions (EF; INECO Frontal Screening, IFS). A score of reduced awareness in item 3 and/or 4 of the MMCHS defined experience of ≥1 SH in past 6-12 months.

RESULTS

In 165 T1D adults, prevalences of SH, IAH by MMCHS full-scale and factor 1 were 35%, 13% and 28%. Participants with IAH by factor 1 had higher scores for PD (p = 0.008). Participants with SH and IAH (full-scale or factor 1) had higher BA scores (all p < 0.05) but no impairment of global cognition or EF. Participant Z-score IFS was lower than in non-diabetic individuals (p < 0.001).

CONCLUSIONS

In our cohort, executive dysfunction in T1D was not associated with SH or IAH. IAH was associated with PD, and both SH and IAH were related to behavioral dysfunction.

Towards standardization of person-reported outcomes (PROs) in pediatric diabetes research: A consensus report

BACKGROUND

Diabetes ranks among the most common chronic conditions in childhood and adolescence. It is unique among chronic conditions, in that clinical outcomes are intimately tied to how the child or adolescent living with diabetes and their parents or carers react to and implement good clinical practice guidance. It is widely recognized that the individual's perspective about the impact of trying to manage the disease together with the burden of self-management should be addressed to achieve optimal health outcomes. Standardized, rigorous assessment of behavioural and mental health outcomes is crucial to aid understanding of person-reported outcomes alongside, and in interaction with, physical health outcomes. Whilst tempting to conceptualize person-reported outcomes as a focus on perceived quality of life, the reality is that health-related quality of life is multi-dimensional and covers indicators of physical or functional health status, psychological well-being and social well- being.

METHODS

In this context, this Consensus Statement has been developed by a collection of experts in diabetes to summarize the central themes and lessons derived in the assessment and use of person-reported outcome measures in relation to children and adolescents and their parents/carers, helping to provide a platform for future standardization of these measures for research studies and routine clinical use.

RESULTS

This consensus statement provides an exploration of person-reported outcomes and how to routinely assess and incorporate into clincial research.

The Role of Ultra-Rapid-Acting Insulin Analogs in Diabetes: An Expert Consensus

Ultra-rapid-acting insulin analogs (URAA) are a further development and refinement of rapid-acting insulin analogs. Because of their adapted formulation, URAA provide an even faster pharmacokinetics and thus an accelerated onset of insulin action than conventional rapid-acting insulin analogs, allowing for a more physiologic delivery of exogenously applied insulin. Clinical trials have confirmed the superiority of URAA in controlling postprandial glucose excursions, with a safety profile that is comparable to the rapid-acting insulins. Consequently, many individuals with diabetes mellitus may benefit from URAA in terms of prandial glycemic control. Unfortunately, there are only few available recommendations from authoritative sources for use of URAA in clinical practice. Therefore, this expert consensus report aims to define populations of people with diabetes mellitus for whom URAA may be beneficial and to provide health care professionals with concrete, practical recommendations on how best to use URAA in this context.

Comprehensive Assessment of Neuropathy and Metabolic Parameters in Type 1 Diabetic Patients with or Without Using Continuous Glucose Sensors

The present study was conducted in type 1 diabetic (T1DM) patients to evaluate the metabolic and glycemic control as well as the manifestations of neuropathy. The impact of continuous glucose monitoring (CGM) on the measured parameters was also analyzed. A total of 61 T1DM patients (age: 42.5 ± 1.8 years, DM duration: 22.8 ± 1.6 years, mean ± SE) participated in the study. In total, 24 patients had CGM sensors and 37 did not. Cardiovascular autonomic neuropathy was assessed using cardiovascular reflex tests. Peripheral sensory function was evaluated by a Neurometer and calibrated tuning fork on the upper and lower limbs. Metabolic status was characterized by the determination of triglycerides, high-density lipoprotein (HDL), low-density lipoprotein (LDL), total cholesterol, and glycated haemoglobin (HbA1c). A positive correlation was found between HbA1c and triglyceride levels (r = 0.28, p < 0.05). CGM users and non-users differed in triglyceride (0.9 ± 0.1 vs. 1.24 ± 0.12 mmol/L, p < 0.05), HDL cholesterol (1.7 ± 0.1 vs. 1.4 ± 0.1 p < 0.05 mmol/L), and HbA1c (7.5 ± 0.2 vs. 8.3 ± 0.3%, p < 0.05) levels as well. Significant differences were found for the Valsalva ratio, Neurometer, and calibrated tuning fork results between CGM users and non-users. This study found a significant correlation between HbA1c and triglyceride levels in T1DM. CGM use resulted in improved metabolic parameters and less autonomic and sensory nerve damage. As a novel finding, CGM is presumed to prevent both micro-, and macrovascular complications and, by this way, potentially reducing mortality rates.

Impact of glucose fluctuations on white matter hyperintensity in type 2 diabetic patients

OBJECTIVES

The mean amplitude of glycemic excursion (MAGE) is widely recognized for representing glucose fluctuation extent, its implications in cerebral small vessel disease remain unclear. This study aims to investigate the correlation between MAGE and white matter hyperintensity (WMH).

MATERIALS AND METHODS

This cross-sectional study, spanning from March 2021 to October 2022, included 212 type 2 diabetic patients aged between 50 and 80. Participants underwent MRI scans and continuous glucose monitoring. Clinical and laboratory data were compiled for analysis. WMH volumes were evaluated using both the Fazekas visual rating scale and a quantitative approach. Based on Fazekas scores, patients were categorized into low level of WMH (L-WMH, n = 88) and high level of WMH (H-WMH, n = 124) groups.

RESULTS

MAGE levels were significantly higher in the H-WMH group compared to the L-WMH group. Time below range [TBR< 3.9] emerged as an independent risk factor for elevated MAGE. Both MAGE and TBR< 3.9 independently correlated with an increased WMH burden. Additionally, MAGE was identified as a partial mediator in the relationship between TBR< 3.9 and WMH volumes.

CONCLUSION

MAGE and hypoglycemia exhibit independent associations with WMH in diabetic patients. Moreover, hypoglycemia may indirectly influence WMH progression through the augmentation of glucose fluctuations.

Glucose control and variability assessed by continuous glucose monitoring in patients with type 1 diabetes and diabetic kidney disease

Continuous glucose monitoring (CGM) has emerged as a superior method to glycated hemoglobin (HbA1c) monitoring for glycemic control assessment in type 1 diabetes (T1D). The association between CGM parameters and diabetic kidney disease (DKD) has not been extensively researched. The aim of the present study was to compare CGM metrics between patients with stable and progressive DKD and T1D. A cross-sectional study was performed with 75 patients with T1D, of which 28 had progressive DKD, defined as an estimated glomerular filtration rate decrease of ≥3 ml/min/year or an increased albuminuria stage over the median follow-up time of 7.46 (6.50-8.16) years. FreeStyle Libre ProiQ Sensors were used for CGM. Insulin sensitivity was calculated according to the estimated glucose disposal rate (eGDR) formula. The results revealed that as compared with subjects with stable DKD, individuals with progressive DKD exhibited a higher average glucose level (P=0.03), spent more time above the target range (P=0.05), less time in time in range (TIR; P=0.03), had a higher median estimated HbA1c (P=0.02) and glucose management indicator (P=0.03), as well as a longer duration of hypoglycemic events (P=0.03). There were no differences in compliance levels and recognition of hypoglycemia between the DKD study groups. Differences in correlation patterns between CGM parameters in patients with stable and progressive DKD were observed. For example, glucose variability was significantly positively correlated with TIR in subjects with DKD (Ρ=0.390; P=0.04) but not in individuals without DKD. The progression of DKD was statistically significantly associated with several CGM parameters in multivariate logistic regression models. Collectively, associations between CGM metrics and DKD status were demonstrated in patients with T1D. The findings of the present study indicate the necessity for regular CGM in patients with progressive DKD for improvement of their glycemic control and DKD outcomes but also call for the development of a personalized approach to CGM data interpretation and establishing therapeutic targets in these subjects.

The Impact of Pregestational Diabetes on Maternal Morbidity and Mortality: Trends, Challenges, and Future Directions

Maternal mortality in the United States is on the rise, demonstrating a concerning trend that stands in stark contrast to the falling rates in other developed countries. A key challenge facing the improvement of maternal care is the mounting prevalence of chronic health conditions such as hypertension and diabetes, which are often linked to poor diet and sedentary lifestyle. Pregestational diabetes now impacts 1 to 2% of pregnancies, while gestational diabetes affects another 7.8%. Both type 1 and type 2 diabetes elevate the risk of severe maternal morbidity and mortality (SMM), including severe cardiac morbidity, hypertensive disorders of pregnancy, hemorrhage, infection, and mental health conditions. The increase in diabetes is thought to account for 17% of the increase in maternal mortality between 1997 and 2012. Another critical issue facing maternal care is the significant disparity in pregnancy outcomes among populations facing greater burdens of adverse social determinants of health, including socioeconomic characteristics, chronic stress, and systemic racism. For example, non-Hispanic Black women are 2.5 times more likely to die during pregnancy and the postpartum period than non-Hispanic White women. Vulnerable populations, often minorities, are also more likely to develop risk factors for SMM, such as type 2 diabetes. As pregestational diabetes is a particularly morbid condition in pregnancy, examining its complications and evidence-based treatments could significantly impact both maternal mortality rates and disparities in pregnancy outcomes in the United States. This review explores the relationship between pregestational diabetes and SMM, how the risk of SMM can be modified by disparities, and avenues for advancing care through future research. KEY POINTS: · Diabetes during pregnancy greatly increases the risk of SMM.. · Comprehensive care can improve outcomes in high-risk pregnancies with diabetes.. · Adverse social determinants of health worsen outcomes in pregnancies affected by diabetes.. · Improving diabetes care in pregnancy offers an opportunity to enhance maternal outcomes..

Continuous Glucose Monitoring in Comorbid Dementia and Diabetes: The Evidence So Far

BACKGROUND

Type 2 diabetes mellitus (T2DM) and dementia are two of the leading chronic diseases in aging and are known to influence each other's disease progression. There is well-established evidence that T2DM increases the risk for cognitive decline and dementia. At the same time, people with cognitive changes or dementia can find it difficult to manage their diabetes, resulting in hyper- or hypoglycemic events which can exacerbate the dementia disease progression further. Monitoring of glucose variability is, therefore, of critical importance during aging and when people with T2DM develop dementia. The advent of continuous glucose monitoring (CGM) has allowed the monitoring of glucose variability in T2DM more closely. The CGM seems to be highly feasible and acceptable to use in older people with T2DM and has been shown to significantly reduce their hypoglycemic events, often resulting in falls. Less is known as to whether CGM can have a similar beneficial effect on people with T2DM who have cognitive impairment or dementia in community or hospital settings.

AIMS

The current perspective will explore how CGM has made an impact on T2DM management in older people and those with comorbid cognitive impairment or dementia. We will further explore opportunities and challenges of using CGM in comorbid T2DM and dementia in community and hospital settings.

Impaired Awareness and Symptomatology of Hypoglycemia in Adults with Type 1 Diabetes using Continuous Glucose Monitoring

CONTEXT & OBJECTIVE

Sparse large-scale studies have characterized hypoglycemia symptomatology in adults with type 1 diabetes (T1D) who use continuous glucose monitoring (CGM). This research aimed to evaluate the relationship of impaired awareness of hypoglycemia (IAH) with hypoglycemia symptomatology and frequency in this population.

DESIGN

A cross-sectional survey was conducted in 2023. HypoA-Q was used to evaluate hypoglycemia frequency, symptomatology, and awareness.

SETTING & PARTICIPANTS

Registrants who used CGM in the T1D Exchange, a U.S. national T1D registry.

RESULTS

Surveys were completed by 1,480 adults with T1D who used CGM (53% female; mean diabetes duration 26 years). Compared to those with intact hypoglycemia awareness, IAH was associated with less frequent hypoglycemia symptom presentation across various glucose levels and lower glucose concentrations for first presenting hypoglycemia symptoms when awake (P<0.05 for all). More than 70% of individuals with IAH did not regularly experience symptoms during episodes with glucose <54 mg/dL. When asleep, those with IAH were less frequently awoken by symptoms, more frequently awoken by others who recognized their hypoglycemia, and more frequently acknowledged hypoglycemia after an episode (P<0.05 for all) despite using CGM. With reduced symptoms, both when awake and asleep, those with IAH experienced more hypoglycemic episodes that they were unable to self-treat than those with intact awareness (P<0.05).

CONCLUSION

IAH continues to be associated with a significant reduction in detection of hypoglycemia symptoms, both when awake and asleep, in adults using CGM. Current diabetes technologies do not fully protect adults with type 1 diabetes from hypoglycemia.

The status of blood glucose monitoring and its influencing factors in Chinese patients with type 2 diabetes initiating premixed insulin: A prospective real-world study

OBJECTIVE

This study aimed to assess the current state of self-monitoring of blood glucose (SMBG) in Chinese patients initiating premixed insulin and its influential factors.

RESEARCH DESIGN AND METHODS

This is a single-arm, multi-center, prospective real-world study enrolling a total of 8214 adult patients with type 2 diabetes mellitus (T2DM) newly initiated premixed insulin analogues. Each patient was followed up for 12 weeks, and the data related to SMBG was collected at week 1, week 4, week 8 and week 12, while data related to glycated hemoglobin were collected at week 1 and week 12. The primary outcome was the frequency of SMBG over 12 weeks.

RESULTS

At week 12, 83.3 % monitored blood glucose at least once, while 20.3 % of participants continued SMBG every week. The average monitoring frequency was 4.78 times/week over the first 4 weeks and 3.33 times/week over 12 weeks. The patients with a higher frequency of SMBG had better control of blood glucose.

CONCLUSIONS

This study found that most T2DM patients would take SMBG but the adherence decreased over time. The adherence to SMBG in Chinese T2DM patients was influenced by age, insulin dosage, education level, and diabetes duration. SMBG benefited the improvement of glycemic control.

Automated insulin delivery systems in elderly patients with brittle type 2 diabetes

PURPOSE

Geriatric diabetes is complicated by the frailty of this population, and hypoglycemia with insulin is not uncommon in these patients. Automated Insulin Delivery (AID) systems may provide better glycemic control in elderly patients with brittle type 2 diabetes.

METHODS

Thirty-four patients (≥ 60 years) including cancer patients with brittle diabetes were switched to an AID system from multiple-dose insulin (MDI) treatment. HbA1c level, weight, total daily insulin requirement, and C-peptide, creatinine, and lipids were followed for at least six months.

RESULTS

There were 34 patients (14 male, 41.2 %) with a median age of 67 (IQR 63.0-75.5). Six patients (17.6 %) were on chemotherapy and/or steroids (Ch/S). The patients' initial median HbA1c % was 9.3 (IQR 7.6-11.0), c-peptide level was 0.9 (IQR 0.5-2.2) ng/mL, and median total daily insulin dose was 41 IU (IQR 32-53). Six months after the patients were switched to an AID system their HbA1c % decreased to 7.1 (IQR 6.5-8.1), p < 0.001 and c-peptide increased to 1.21 (IQR 0.2-1.7) ng/mL, p = 0.878. Total insulin dose decreased with AID systems [32 IU (IQR 23.9-37.8)), p < 0.001]. There was a decrease in median HbA1c % in patients on Ch/S [8.7 (IQR 7.0-11.5) to 6.9 (IQR 6.3-9.2)] however it didn't reach statistical significance p = 0.225. Total insulin dose also decreased without statistical significance [33 IU (IQR 41-28) to 28 (IQR 23-35), p = 0.173]. The mean time in range (TIR) percent of the patients with AID systems were as follows; <54 mg/dL was 0.5 %, 56-70 mg/dL was 1.3 %, 70-180 mg/dL was 64.8 %, >180 mg/dL was 26.7 % and > 250 mg/dL was 6.7 %.

CONCLUSION

Although AID systems are tested mostly in young type 1 patients our results show that elderly patients with brittle type 2 diabetes also benefit from an AID system. Even in very frail patients such as cancer patients, improvement can be seen.

Acupuncture and Drug Combination Therapy for Abnormal Glucose Metabolism: Exploring Synergistic Enhancement and Reduced Toxicity Mechanisms

This review examines the impact of combining acupuncture with drug therapy on abnormal glucose metabolism and investigates their underlying mechanisms. Conditions like diabetes pose significant health risks due to irregular glucose metabolism. Traditional drug treatments often encounter challenges related to side effects and drug resistance. Acupuncture, as a non-pharmacological intervention, is thought to enhance glucose metabolism and mitigate medication side effects. We selected the relevant studies of acupuncture or electroacupuncture combined with drugs in the treatment of abnormal glucose metabolism in the past five years, and the results indicate that the combination of acupuncture or electroacupuncture and drug therapy markedly enhances glucose metabolism and mitigates medication-related side effects such as gastrointestinal discomfort and hypoglycemia. Overall, this review underscores the synergistic benefits of acupuncture and drug therapy in improving treatment efficacy and reducing adverse effects, offering promising new approaches for managing abnormal glucose metabolism. Our review provides evidence for the potential benefits of combining acupuncture with drug therapy for abnormal glucose metabolism, which could lead to improved treatment outcomes and reduced side effects for patients with type 2 diabetes mellitus.

Decoding the Significance of Alpha Cell Function in the Pathophysiology of Type 1 Diabetes

Alpha cells in the pancreas, traditionally known for their role in secreting glucagon to regulate blood glucose levels, are gaining recognition for their involvement in the pathophysiology of type 1 diabetes (T1D). In T1D, autoimmune destruction of beta cells results in insulin deficiency, which in turn may dysregulate alpha cell function, leading to elevated glucagon levels and impaired glucose homeostasis. This dysfunction is characterized by inappropriate glucagon secretion, augmenting the risk of life-threatening hypoglycemia. Moreover, insulin deficiency and autoimmunity alter alpha cell physiological responses, further exacerbating T1D pathophysiology. Recent studies suggest that alpha cells undergo transdifferentiation and interact with beta cells through mechanisms involving gamma-aminobutyric acid (GABA) signaling. Despite these advances, the exact pathways and interactions remain poorly understood and are often debated. Understanding the precise role of alpha cells in T1D is crucial, as it opens up avenues for developing new therapeutic strategies for T1D. Potential strategies include targeting alpha cells to normalize glucagon secretion, utilizing glucagon receptor antagonists, enhancing GABA signaling, and employing glucagon-like peptide-1 (GLP-1) receptor agonists. These approaches aim to improve glycemic control and reduce the risk of hypoglycemic events in individuals with T1D. This review provides an overview of alpha cell function in T1D, highlighting the emerging focus on alpha cell dysfunction in the context of historically well-developed beta cell research.

Lactate supplementation after hypoglycemia alleviates cognitive dysfunction induced by recurrent non-severe hypoglycemia in diabetic mice

Recurrent non-severe hypoglycemia (RH) in diabetes is an independent risk factor for cognitive dysfunction. However, the mechanisms and potential therapeutic strategies remain poorly understood. In this study, we aimed to elucidate the mechanisms underlying RH-induced diabetic cognitive impairment. We investigated the effects of RH on lactate metabolism and cognitive function in male C57BL/6 J diabetic mice. After RH, diabetic mice showed decreased brain lactate and adenosine triphosphate levels, decreased expression of lactate transporter proteins MCT1 and MCT4, increased neuroapoptosis, and decreased astrocyte glycolysis in vitro. This was accompanied by increased neuronal mitochondrial reactive oxygen species levels, decreased mitochondrial COX IV activity, impaired mitochondrial morphology and function, impaired synaptic morphology, and decreased expression of synaptic plasticity proteins. Intraperitoneal lactic acid injection improved lactate transport restored neuronal mitochondrial morphology and function, upregulated synaptic plasticity proteins brain-derived neurotrophic factor and early growth response 1, enhanced synaptic ultrastructure, and ultimately improved cognitive dysfunction following RH in diabetic mice. These findings provide insights into the prevention and treatment of cognitive dysfunction in patients with diabetes mellitus caused by RH.

Incidence and influencing factors for hypoglycemia in maintenance hemodialysis patients with diabetic kidney disease: a meta-analysis

The objective of this study was to evaluate the incidence of hypoglycemia in patients with diabetic kidney disease (DKD) undergoing maintenance hemodialysis (MHD) and to identify key factors influencing its occurrence. A comprehensive literature search was conducted across databases including CNKI, Wanfang data, VIP, SinoMed, PubMed, Cochrane Library, Web of Science and Embase from their inception to March 31, 2023. The search focused on studies addressing the incidence and influencing factors for hypoglycemia in DKD patients receiving hemodialysis. Eligible studies were selected based on predefined inclusion and exclusion criteria, and data were analyzed using Stata 15.0 software. A total of 24 studies involving 2388 patients were included in this meta-analysis, with 22 studies from China and 2 studies from English-speaking countries. The findings indicated that the incidence of hypoglycemia among hemodialysis patients with DKD was 41.7% (95% confidence interval (CI): 32.6% to 50.9%). Influencing factors associated with hypoglycemia in hemodialysis patients with DKD included age (odds ratio (OR) = 4.507, 95% CI: 3.272 to 6.209), course of DKD (OR = 3.547, 95% CI: 2.523 to 4.988), use of oral hypoglycemic drugs (OR = 4.643, 95% CI: 2.566 to 8.402), fasting plasma glucose (FPG) levels (risk ratio (RR) = 4.033, 95% CI: 2.594 to 6.269), insulin use (OR = 8.242, 95% CI: 4.517 to 15.042), application of glucose-free dialysate (RR = 7.987, 95% CI: 4.605 to 13.855), coefficient of variation in blood glucose (CVBG) (OR = 3.241, 95% CI: 2.071 to 5.071), mean blood glucose (MBG) (OR = 2.930, 95% CI: 1.635 to 5.248), medication compliance (OR = 4.300, 95% CI: 2.047 to 9.031) and self-care ability (OR = 3.543, 95% CI: 1.766 to 7.108). Specifically, risk factors identified were age > 60 years, DKD course > 1 year, use of oral hypoglycemic drugs, FPG < 6.1 mmol/L, insulin administration before dialysis, application of glucose-free dialysate, CVBG ≥ 0.26, MBG < 8.92 mmol/L, poor medication compliance, and poor self-care ability.

Risk factors for type 2 diabetes mellitus in Chinese rheumatoid arthritis patients from 2018 to 2022: a real-world, single-center, retrospective study

Introduction

In patients with rheumatoid arthritis (RA), the increased risk of concomitant type 2 diabetes mellitus (T2D) is an important contributor to increased mortality and decreased quality of life; however, the mechanisms and pathogenetic factors remain unknown.

Methods

In this study, we aimed to assess the risk factors for T2D in patients with RA. We recruited 206 healthy controls and 488 patients with RA, 160 of whom had comorbid T2D. General clinical information, disease characteristics, and circulating lymphocyte levels detected using modified flow cytometry were collected from all participants. Logistic regression models adjusted for confounders were fitted to estimate the risk factors of T2D in patients with RA.

Results

The incidence of RA in patients with T2D was 15.6%. Patients with RA and T2D had a longer disease duration, higher BMI, and a higher incidence of hypertension and a family history of diabetes than those with RA but no T2D. The absolute numbers of T helper 2 cell (Th2) and Regulatory T cells (Treg) decreased in patients with RA and T2D, which led to an increase in the ratios of Th1/Th2 and Th17/Treg cells. Multivariate logistic regression analysis showed that a family history of diabetes, a higher incidence of hypertension, higher neutrophil-lymphocyte ratio (NLR) levels, lower platelet-lymphocyte ratio (PLR) levels, and fewer circulating Th2 and Treg cells were associated with an increased risk of T2D in patients with RA.

Discussion

The levels of peripheral lymphocytes, especially Th2 and Treg cells, are closely related to the occurrence of T2D in patients with RA; however, the influence of body mass index (BMI), family history of diabetes, and systemic inflammation should not be ignored.

The impact of hypoglycaemia on daily functioning among adults with diabetes: a prospective observational study using the Hypo-METRICS app

AIMS/HYPOTHESIS

The aim of this work was to examine the impact of hypoglycaemia on daily functioning among adults with type 1 diabetes or insulin-treated type 2 diabetes, using the novel Hypo-METRICS app.

METHODS

For 70 consecutive days, 594 adults (type 1 diabetes, n=274; type 2 diabetes, n=320) completed brief morning and evening Hypo-METRICS 'check-ins' about their experienced hypoglycaemia and daily functioning. Participants wore a blinded glucose sensor (i.e. data unavailable to the participants) for the study duration. Days and nights with or without person-reported hypoglycaemia (PRH) and/or sensor-detected hypoglycaemia (SDH) were compared using multilevel regression models.

RESULTS

Participants submitted a mean ± SD of 86.3±12.5% morning and 90.8±10.7% evening check-ins. For both types of diabetes, SDH alone had no significant associations with the changes in daily functioning scores. However, daytime and night-time PRH (with or without SDH) were significantly associated with worsening of energy levels, mood, cognitive functioning, negative affect and fear of hypoglycaemia later that day or while asleep. In addition, night-time PRH (with or without SDH) was significantly associated with worsening of sleep quality (type 1 and type 2 diabetes) and memory (type 2 diabetes). Further, daytime PRH (with or without SDH), was associated with worsening of fear of hyperglycaemia while asleep (type 1 diabetes), memory (type 1 and type 2 diabetes) and social functioning (type 2 diabetes).

CONCLUSIONS/INTERPRETATION

This prospective, real-world study reveals impact on several domains of daily functioning following PRH but not following SDH alone. These data suggest that the observed negative impact is mainly driven by subjective awareness of hypoglycaemia (i.e. PRH), through either symptoms or sensor alerts/readings and/or the need to take action to prevent or treat episodes.

Estimating risk of consequences following hypoglycaemia exposure using the Hypo-RESOLVE cohort: a secondary analysis of pooled data from insulin clinical trials

AIMS/HYPOTHESIS

Whether hypoglycaemia increases the risk of other adverse outcomes in diabetes remains controversial, especially for hypoglycaemia episodes not requiring assistance from another person. An objective of the Hypoglycaemia REdefining SOLutions for better liVEs (Hypo-RESOLVE) project was to create and use a dataset of pooled clinical trials in people with type 1 or type 2 diabetes to examine the association of exposure to all hypoglycaemia episodes across the range of severity with incident event outcomes: death, CVD, neuropathy, kidney disease, retinal disorders and depression. We also examined the change in continuous outcomes that occurred following a hypoglycaemia episode: change in eGFR, HbA1c, blood glucose, blood glucose variability and weight.

METHODS

Data from 84 trials with 39,373 participants were pooled. For event outcomes, time-updated Cox regression models adjusted for age, sex, diabetes duration and HbA1c were fitted to assess association between: (1) outcome and cumulative exposure to hypoglycaemia episodes; and (2) outcomes where an acute effect might be expected (i.e. death, acute CVD, retinal disorders) and any hypoglycaemia exposure within the last 10 days. Exposures to any hypoglycaemia episode and to episodes of given severity (levels 1, 2 and 3) were examined. Further adjustment was then made for a wider set of potential confounders. The within-person change in continuous outcomes was also summarised (median of 40.4 weeks for type 1 diabetes and 26 weeks for type 2 diabetes). Analyses were conducted separately by type of diabetes.

RESULTS

The maximally adjusted association analysis for type 1 diabetes found that cumulative exposure to hypoglycaemia episodes of any level was associated with higher risks of neuropathy, kidney disease, retinal disorders and depression, with risk ratios ranging from 1.55 (p=0.002) to 2.81 (p=0.002). Associations of a similar direction were found when level 1 episodes were examined separately but were significant for depression only. For type 2 diabetes cumulative exposure to hypoglycaemia episodes of any level was associated with higher risks of death, acute CVD, kidney disease, retinal disorders and depression, with risk ratios ranging from 2.35 (p<0.0001) to 3.00 (p<0.0001). These associations remained significant when level 1 episodes were examined separately. There was evidence of an association between hypoglycaemia episodes of any kind in the previous 10 days and death, acute CVD and retinal disorders in both type 1 and type 2 diabetes, with rate ratios ranging from 1.32 (p=0.017) to 2.68 (p<0.0001). These associations varied in magnitude and significance when examined separately by hypoglycaemia level. Within the range of hypoglycaemia defined by levels 1, 2 and 3, we could not find any evidence of a threshold at which risk of these consequences suddenly became pronounced.

CONCLUSIONS/INTERPRETATION

These data are consistent with hypoglycaemia being associated with an increased risk of adverse events across several body systems in diabetes. These associations are not confined to severe hypoglycaemia requiring assistance.

Association of hypoglycemia problem-solving abilities with severe hypoglycemia in adults with type 1 diabetes: a Poisson regression analysis

Background

Severe hypoglycemia (SH) poses a significant challenge in the management of type 1 diabetes (T1D); however, the factors that offer protection other than diabetes technologies are under-studied. The primary objective of this study was to examine the association between hypoglycemia problem-solving (HPS) abilities and severe hypoglycemic events in adults with T1D using Poisson regression analysis.

Methods

In this cross-sectional study, 287 adults with T1D (mean age: 50.3 ± 14.5 years, male: 36.2%, diabetes duration: 17.5 ± 11.2 years, mean HbA1c: 7.7 ± 0.9%) were included and categorized into two groups: non-SH (n = 262) and SH (n = 25). Data on diabetic complications, the hypoglycemia problem-solving scale (HPSS), and treatment details were collected. Impaired awareness of hypoglycemia (IAH) was evaluated using Gold's method. Univariate and multivariable Poisson regression models were used for the analysis, and the findings were presented as incidence rate ratios (IRRs) at 95% confidence interval (CI).

Results

The incidence of SH was 16.7 (95% CI 7.5-26.0) per 100 person-years. In the univariate Poisson regression analysis, findings revealed associations between IAH, diabetic peripheral neuropathy (DPN), and HPSS1. On the other hand, the multivariate Poisson regression analysis, utilizing stepwise variable selection, identified DPN (IRR: 4.65, 95% CI 1.96-11.04; P < 0.001) and HPSS1 score (IRR: 0.51, 95% CI 0.34, 0.76; P = 0.001) as factors significantly associated with SH.

Conclusion

We identified HPS abilities, in addition to DPN, were associated with SH in adults with T1D.

Trial registration

University Hospital Medical Information Network (UMIN) Center: UMIN000039475), approval date: February 13, 2020.

Mitigating Severe Hypoglycemia in Users of Advanced Diabetes Technologies: Impaired Awareness of Hypoglycemia and Unhelpful Hypoglycemia Beliefs as Targets for Interventions

Objective: A subgroup analysis of the Hypoglycemia Awareness Restoration Programme for people with type 1 diabetes and problematic hypoglycemia persisting despite optimized care (HARPdoc) trial was conducted to explore the impact of Blood Glucose Awareness Training (BGAT, a hypoglycemia awareness training program) and the HARPdoc (a psychoeducation addressing unhelpful hypoglycemia beliefs) in reducing severe hypoglycemia (SH) in individuals using advanced diabetes technologies (ADTs). Methods: Data from trial participants who utilized ADTs, including continuous glucose monitors or automated insulin delivery systems, were extracted. Generalized linear mixed-effects models with Poisson distribution or linear mixed-effects models were used to evaluate SH incidence, and Gold questionnaire, Attitudes to Awareness of Hypoglycemia (A2A), Problem Areas in Diabetes (PAID), Hospital Anxiety and Depress Scale (HADS)-anxiety, and HADS-depression scores as measures of hypoglycemia awareness, unhelpful hypoglycemia beliefs, diabetes distress, and anxiety and depression symptoms, respectively. Results: In the 45 participants using ADTs, the BGAT and HARPdoc interventions both reduced SH incidence by more than 50% (P < 0.0001) and yielded improvements in hypoglycemia awareness (P < 0.05). HARPdoc outperformed BGAT in reducing SH at month 24 (P = 0.01). HARPdoc also mitigated unhelpful hypoglycemia beliefs (P < 0.0001), diabetes distress (P < 0.05), and anxiety symptoms (P < 0.05); BGAT demonstrated no significant impacts in these respects. Neither HARPdoc nor BGAT had significant effects on depression symptoms. Conclusion: Psychoeducation (BGAT and HARPdoc) was effective in reducing SH in people using ADTs. HARPdoc may also provide greater long-term SH reduction and improves psychological well-being in this patient group.

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.

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

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

Nocturnal Hypoglycemia in the Era of Continuous Glucose Monitoring

Nocturnal hypoglycemia is a common acute complication of people with diabetes on insulin therapy. In particular, the inability to control glucose levels during sleep, the impact of external factors such as exercise, or alcohol and the influence of hormones are the main causes. Nocturnal hypoglycemia has several negative somatic, psychological, and social effects for people with diabetes, which are summarized in this article. With the advent of continuous glucose monitoring (CGM), it has been shown that the number of nocturnal hypoglycemic events was significantly underestimated when traditional blood glucose monitoring was used. The CGM can reduce the number of nocturnal hypoglycemia episodes with the help of alarms, trend arrows, and evaluation routines. In combination with CGM with an insulin pump and an algorithm, automatic glucose adjustment (AID) systems have their particular strength in nocturnal glucose regulation and the prevention of nocturnal hypoglycemia. Nevertheless, the problem of nocturnal hypoglycemia has not yet been solved completely with the technologies currently available. The CGM systems that use predictive models to warn of hypoglycemia, improved AID systems that recognize hypoglycemia patterns even better, and the increasing integration of artificial intelligence methods are promising approaches in the future to significantly minimize the risk of a side effect of insulin therapy that is burdensome for people with diabetes.

Risk of Dementia and Alzheimer's Disease Associated With Antidiabetics: A Bayesian Network Meta-Analysis

INTRODUCTION

Dementia risk is substantially elevated in patients with diabetes. However, evidence on dementia risk associated with various antidiabetic regimens is still limited. This study aims to comprehensively investigate the risk of dementia and Alzheimer's disease (AD) associated with various antidiabetic classes.

METHODS

Cochrane Central Register of Controlled Trials, Embase, MEDLINE (PubMed), and Scopus were searched from inception to March 2024 (PROSPERO CRD 42022365927). Observational studies investigating dementia and AD incidences after antidiabetic initiation were identified. Bayesian network meta-analysis was performed to determine dementia and AD risks associated with antidiabetics. Preferred Reporting Items for Systematic Reviews-Network Meta-Analyses (PRISMA-NMA) guidelines were followed. Statistical analysis was performed and updated in November 2023 and March 2024, respectively.

RESULTS

A total of 1,565,245 patients from 16 studies were included. Dementia and AD risks were significantly lower with metformin and sodium glucose co-transporter-2 inhibitors (SGLT2i). Metformin displayed the lowest risk of dementia across diverse antidiabetics, whereas α-glucosidase inhibitors demonstrated the highest risk. SGLT2i exhibited the lowest dementia risk across second-line antidiabetics. Dementia risk was significantly higher with dipeptidyl peptidase-4 inhibitor (DPP4i), metformin, sulfonylureas, and thiazolidinediones (TZD) compared to SGLT2i in the elderly (≥75 years). Dementia risk associated with metformin was substantially lower, regardless of diabetic complication status or baseline A1C.

DISCUSSION

Metformin and SGLT2i demonstrated lower dementia risk than other antidiabetic classes. Patient-specific factors may affect this relationship and cautious interpretation is warranted as metformin is typically initiated at an earlier stage with fewer complications. Hence, further large-scaled clinical trials are required.

Impact of Charlson Comorbidity Index on in-hospital mortality of patients with hyperglycemic crises: A propensity score matching analysis

AIM

This study was designed to investigate the association between Charlson Comorbidity Index (CCI) and in-hospital mortality and other clinical outcomes among patients with hyperglycemic crises.

METHOD

This retrospective cohort study was conducted using data from electric medical records. A total of 1668 diabetic patients with hyperglycemic crises from six tertiary hospitals met the inclusion criteria. CCI < 4 was defined as low CCI and CCI ≥ 4 was defined as high CCI. Propensity score matching (PSM) with the 1:1 nearest neighbour matching method and the caliper value of 0.02 was used to match the baseline characteristics of patients with high CCI and low CCI to reduce the confounding bias. In-hospital mortality, ICU admission, hypoglycemia, hypokalemia, acute kidney injury, length of stay (LOS), and hospitalisation expense between low CCI and high CCI were compared and assessed. Univariate and multivariate regression were applied to estimate the impact of CCI on in-hospital and other clinical outcomes.

OUTCOME

One hundred twenty-one hyperglycemic crisis (HC) patients died with a mortality rate of 7.3%. After PSM, compared with low CCI, patients with high CCI suffered higher in-hospital mortality, ICU admission, LOS, and hospitalisation expenses. After multivariate regression, age (aOR: 1.12, 95% confidence interval [CI]: 1.06-1.18, p < 0.001), CCI(aOR: 4.42, 95% CI: 1.56-12.53, p = 0.005), uninsured (aOR: 22.32, 95% CI: 4.26-116.94, p < 0.001), shock (aOR: 10.57, 95% CI: 1.41-79.09, p = 0.022), mechanical ventilation (aOR: 75.29, 95% CI: 12.37-458.28, p < 0.001), and hypertension (aOR: 4.34, 95% CI: 1.37-13.82, p = 0.013) were independent risk factors of in-hospital mortality of HC patients. Besides, high CCI was an independent risk factor for higher ICU Admission (aOR: 5.91, 95% CI: 2.31-15.08, p < 0.001), hypoglycemia (aOR: 2.19, 95% CI:1.01-4.08, p = 0.049), longer LOS (aOR: 1.23, 95% CI: 1.19-2.27, p = 0.021), and higher hospitalisation expense (aOR: 2089.97, 95% CI: 193.33-3988.61, p = 0.031) of HC patients.

CONCLUSION

CCI is associated with in-hospital mortality, ICU admission, hypoglycemia, LOS, and hospitalisation expense of HC patients. CCI could be an ideal indicator to identify, monitor, and manage chronic comorbidities among HC patients.

Fear of Hypoglycemia and Diabetes Distress: Expected Reduction by Glucose Prediction

BACKGROUND

Extended glucose predictions are novel in diabetes management. Currently, there is no solution widely available. People with diabetes mellitus (DM) are offered features like trend arrows and limited predictions linked to predefined situations. Thus, the impact of extended glucose predictions on the burden of diabetes and person-reported outcomes (PROs) is unclear.

METHODS

In this online survey, 206 people with type 1 and type 2 diabetes (T1D and T2D), 70.9% and 29.1%, respectively, who participated in the dia·link online panel and were current continuous glucose monitoring (CGM) users, were presented with different scenarios of hypothetical extended glucose predictions. They were asked to imagine how low glucose predictions of 30 minutes and overnight as well as glucose predictions up to 2 hours would influence their diabetes management. Subsequently, they completed the Hypoglycemia Fear Survey II (HFS-II) and the T1 Diabetes Distress Scale (T1-DDS) by rating each item on a 5-point scale (-2: strong deterioration to +2: strong improvement) according to the potential change due to using glucose predictions.

RESULTS

For all glucose prediction periods, 30 minutes, up to 2 hours, and at nighttime, the surveyed participants expected moderate improvements in both fear of hypoglycemia (HFS-II: 0.57 ± 0.49) and overall diabetes distress (T1-DDS = 0.44 ± 0.49). The T1-DDS did not differ for type of therapy or diabetes.

CONCLUSIONS

People with T1D and T2D would see glucose predictions as a potential improvement regarding reduced fear of hypoglycemia and diabetes distress. Therefore, glucose predictions represent a value for them in lowering the burden of diabetes and its management.

Genetic interactions and pleiotropy in metabolic diseases: Insights from a comprehensive GWAS analysis

This study offers insights into the genetic and biological connections between nine common metabolic diseases using data from genome-wide association studies. Our goal is to unravel the genetic interactions and biological pathways of these complex diseases, enhancing our understanding of their genetic architecture. We employed a range of advanced analytical techniques to explore the genetic correlations and shared genetic variants of these diseases. These methods include Linked Disequilibrium Score Regression, High-Definition Likelihood (HDL), genetic analysis combining multiplicity and annotation (GPA), two-sample Mendelian randomization analyses, analysis under the multiplicity-complex null hypothesis (PLACO), and Functional mapping and annotation of genetic associations (FUMA). Additionally, Bayesian co-localization analyses were used to examine associations of specific loci across traits. Our study discovered significant genomic correlations and shared loci, indicating complex genetic interactions among these metabolic diseases. We found several shared single nucleotide variants and risk loci, notably highlighting the role of the immune system and endocrine pathways in these diseases. Particularly, rs2476601 and its associated gene PTPN22 appear to play a crucial role in the connection between type 2 diabetes mellitus, hypothyroidism/mucous oedema and hypoglycaemia. These findings enhance our understanding of the genetic underpinnings of these diseases and open new potential avenues for targeted therapeutic and preventive strategies. The results underscore the importance of considering pleiotropic effects in deciphering the genetic architecture of complex diseases, especially metabolic ones.

Intestinal glucagon-like peptide-1: A new player associated with impaired counterregulatory responses to hypoglycaemia in type 1 diabetic mice

BACKGROUND

Impaired hypoglycaemic counterregulation has emerged as a critical concern for diabetic patients who may be hesitant to medically lower their blood glucose levels due to the fear of potential hypoglycaemic reactions. However, the patho-genesis of hypoglycaemic counterregulation is still unclear. Glucagon-like peptide-1 (GLP-1) and its analogues have been used as adjunctive therapies for type 1 diabetes mellitus (T1DM). The role of GLP-1 in counterregulatory dys-function during hypoglycaemia in patients with T1DM has not been reported.

AIM

To explore the impact of intestinal GLP-1 on impaired hypoglycaemic counterregulation in type 1 diabetic mice.

METHODS

T1DM was induced in C57BL/6J mice using streptozotocin, followed by intraperitoneal insulin injections to create T1DM models with either a single episode of hypoglycaemia or recurrent episodes of hypoglycaemia (DH5). Immunofluorescence, Western blot, and enzyme-linked immunosorbent assay were employed to evaluate the influence of intestinal GLP-1 on the sympathetic-adrenal reflex and glucagon (GCG) secretion. The GLP-1 receptor agonist GLP-1(7-36) or the antagonist exendin (9-39) were infused into the terminal ileum or injected intraperitoneally to further investigate the role of intestinal GLP-1 in hypoglycaemic counterregulation in the model mice.

RESULTS

The expression levels of intestinal GLP-1 and its receptor (GLP-1R) were significantly increased in DH5 mice. Consecutive instances of excess of intestinal GLP-1 weakens the sympathetic-adrenal reflex, leading to dysfunction of adrenal counterregulation during hypoglycaemia. DH5 mice showed increased pancreatic δ-cell mass, cAMP levels in δ cells, and plasma somatostatin concentrations, while cAMP levels in pancreatic α cells and plasma GCG levels decreased. Furthermore, GLP-1R expression in islet cells and plasma active GLP-1 levels were significantly increased in the DH5 group. Further experiments involving terminal ileal infusion and intraperitoneal injection in the model mice demonstrated that intestinal GLP-1 during recurrent hypoglycaemia hindered the secretion of the counterregulatory hormone GCG via the endocrine pathway.

CONCLUSION

Excessive intestinal GLP-1 is strongly associated with impaired counterregulatory responses to hypoglycaemia, leading to reduced appetite and compromised secretion of adrenaline, noradrenaline, and GCG during hypo-glycaemia.

Effect of hypoglycemic events on cognitive function in individuals with type 2 diabetes mellitus: a dose-response meta-analysis

Background

Type 2 diabetes mellitus (T2DM) is widely acknowledged as a vital warning sign contributing to cognitive dysfunction. However, there is still a lack of consensus on whether hypoglycemic events resulting from poor glycemic control increase the risk of cognitive dysfunction in people with diabetes, and the potential dose-response correlation between hypoglycemic events and cognitive dysfunction remains unexplored. The primary objective of the current study was to assess the contribution of hypoglycemic events to cognitive dysfunction in T2DM patients and the dose-response correlation between the two.

Methods

A comprehensive search of nine major databases was executed from inception to May 2023. We screened all observational studies examining the connection between hypoglycemia and cognitive dysfunction. The DerSimonian-Laird method was used to compute the combined risk ratio (RR) and its 95% confidence interval (CI). Additionally, dose-response analysis was employed to investigate the correlation between the frequency of hypoglycemia and the likelihood of cognitive dysfunction.

Results

A total of 30 studies of different levels in 17 articles with 3,961,352 participants were included in this review. The pooled RR for the connection of hypoglycemia and the likelihood of cognitive dysfunction was 1.47 (95% CI: 1.35-1.60). Subgroup analyses showed that the pooled RR for the likelihood of cognitive dysfunction was 1.20 (95% CI: 1.11-1.31) for one episode of hypoglycemia, 1.41 (95% CI: 1.05-1.88) for two episodes of hypoglycemia, and 1.62 (95% CI: 1.20-2.91) for three or more episodes of hypoglycemia. Dose-response analysis showed a linear dose-response relationship between hypoglycemia and the likelihood of cognitive dysfunction (exp (b) = 1.178694, z = 7.12, p < 0.001).

Conclusion

Our investigations demonstrated a 47% heightened likelihood of cognitive dysfunction in individuals with hypoglycemia compared to those without. Furthermore, the likelihood of cognitive dysfunction climbed by 17.87% for every subsequent episode of hypoglycemia. Therefore, long-term monitoring of blood glucose, periodic screening of cognitive function, and moderate health education should be encouraged, which will be beneficial for people with diabetes to prevent hypoglycemic events and cognitive dysfunction.

Systematic review registration

https://www.crd.york.ac.uk/PROSPERO/, CRD42023432352.

Risk factors and prediction of hypoglycaemia using the Hypo-RESOLVE cohort: a secondary analysis of pooled data from insulin clinical trials

AIMS/HYPOTHESIS

The objective of the Hypoglycaemia REdefining SOLutions for better liVES (Hypo-RESOLVE) project is to use a dataset of pooled clinical trials across pharmaceutical and device companies in people with type 1 or type 2 diabetes to examine factors associated with incident hypoglycaemia events and to quantify the prediction of these events.

METHODS

Data from 90 trials with 46,254 participants were pooled. Analyses were done for type 1 and type 2 diabetes separately. Poisson mixed models, adjusted for age, sex, diabetes duration and trial identifier were fitted to assess the association of clinical variables with hypoglycaemia event counts. Tree-based gradient-boosting algorithms (XGBoost) were fitted using training data and their predictive performance in terms of area under the receiver operating characteristic curve (AUC) evaluated on test data. Baseline models including age, sex and diabetes duration were compared with models that further included a score of hypoglycaemia in the first 6 weeks from study entry, and full models that included further clinical variables. The relative predictive importance of each covariate was assessed using XGBoost's importance procedure. Prediction across the entire trial duration for each trial (mean of 34.8 weeks for type 1 diabetes and 25.3 weeks for type 2 diabetes) was assessed.

RESULTS

For both type 1 and type 2 diabetes, variables associated with more frequent hypoglycaemia included female sex, white ethnicity, longer diabetes duration, treatment with human as opposed to analogue-only insulin, higher glucose variability, higher score for hypoglycaemia across the 6 week baseline period, lower BP, lower lipid levels and treatment with psychoactive drugs. Prediction of any hypoglycaemia event of any severity was greater than prediction of hypoglycaemia requiring assistance (level 3 hypoglycaemia), for which events were sparser. For prediction of level 1 or worse hypoglycaemia during the whole follow-up period, the AUC was 0.835 (95% CI 0.826, 0.844) in type 1 diabetes and 0.840 (95% CI 0.831, 0.848) in type 2 diabetes. For level 3 hypoglycaemia, the AUC was lower at 0.689 (95% CI 0.667, 0.712) for type 1 diabetes and 0.705 (95% CI 0.662, 0.748) for type 2 diabetes. Compared with the baseline models, almost all the improvement in prediction could be captured by the individual's hypoglycaemia history, glucose variability and blood glucose over a 6 week baseline period.

CONCLUSIONS/INTERPRETATION

Although hypoglycaemia rates show large variation according to sociodemographic and clinical characteristics and treatment history, looking at a 6 week period of hypoglycaemia events and glucose measurements predicts future hypoglycaemia risk.

Continuous Insulin Therapy to Prevent Post-Transplant Diabetes Mellitus: A Randomized Controlled Trial

Rationale & Objectives

Hyperglycemia is frequently observed early after transplantation and associated with development of post-transplant diabetes mellitus (PTDM). Here, we assessed continuous subcutaneous insulin infusion (CSII) targeting afternoon hyperglycemia.

Study Design

Open-label randomized parallel 3-arm design.

Settings & Participants

In total, 85 kidney transplant recipients without previous diabetes diagnosis were randomized to postoperative CSII therapy, basal insulin, or control.

Interventions

Insulin was to be initiated at afternoon capillary blood glucose level of ≥140 mg/dL (7.8 mmol/L; CSII and basal insulin) or fasting plasma glucose level of ≥200 mg/dL (11.1 mmol/L; control).

Outcomes

Hemoglobin A1c (HbA1c) levels at 3 months post-transplant (primary endpoint). PTDM assessed using oral glucose tolerance test at 12 and 24 months.

Results

CSII therapy lasted until median day 18 and maximum day 88. The median HbA1c value at month 3 was 5.6% (38 mmol/mol) in the CSII group versus 5.7% (39 mmol/mol) in the control group (P = 0.70) and 5.4% (36 mmol/mol) in the basal insulin group (P = 0.02). At months 12 and 24, the odds for PTDM were similar compared with the control group (odds ratios [95% confidence intervals], 0.80 [0.18-3.49] and 0.71 [0.15-3.16], respectively) and the basal insulin group (0.96 [0.18-5.68] and 1.51 [0.24-12.84], respectively). Mild hypoglycemia events occurred in the CSII and the basal insulin groups.

Limitations

This study is limited by outdated insulin pump technology, frequent discontinuations of CSII, a complex protocol, and concerns regarding reliability of HbA1c measurements.

Conclusions

CSII therapy was not superior at reducing HbA1c levels at month 3 or PTDM prevalence at months 12 and 24 compared with the control or basal insulin group.

Associations Between Hypoglycemia Awareness Status and Symptoms of Hypoglycemia Among Adults with Type 1 or Insulin-Treated Type 2 Diabetes Using the Hypo-METRICS Smartphone Application

Introduction: This study examined associations between hypoglycemia awareness status and hypoglycemia symptoms reported in real-time using the novel Hypoglycaemia-MEasurement, ThResholds and ImpaCtS (Hypo-METRICS) smartphone application (app) among adults with insulin-treated type 1 (T1D) or type 2 diabetes (T2D). Methods: Adults who experienced at least one hypoglycemic episode in the previous 3 months were recruited to the Hypo-METRICS study. They prospectively reported hypoglycemia episodes using the app for 10 weeks. Any of eight hypoglycemia symptoms were considered present if intensity was rated between "A little bit" to "Very much" and absent if rated "Not at all." Associations between hypoglycemia awareness (as defined by Gold score) and hypoglycemia symptoms were modeled using mixed-effects binary logistic regression, adjusting for glucose monitoring method and diabetes duration. Results: Of 531 participants (48% T1D, 52% T2D), 45% were women, 91% white, and 59% used Flash or continuous glucose monitoring. Impaired awareness of hypoglycemia (IAH) was associated with lower odds of reporting autonomic symptoms than normal awareness of hypoglycemia (NAH) (T1D odds ratio [OR] 0.43 [95% confidence interval {CI} 0.25-0.73], P = 0.002); T2D OR 0.51 [95% CI 0.26-0.99], P = 0.048), with no differences in neuroglycopenic symptoms. In T1D, relative to NAH, IAH was associated with higher odds of reporting autonomic symptoms at a glucose concentration <54 than >70 mg/dL (OR 2.18 [95% CI 1.21-3.94], P = 0.010). Conclusion: The Hypo-METRICS app is sensitive to differences in hypoglycemia symptoms according to hypoglycemia awareness in both diabetes types. Given its high ecological validity and low recall bias, the app may be a useful tool in research and clinical settings. The clinical trial registration number is NCT04304963.

Long-Term Sulfonylurea Use and Impaired Awareness of Hypoglycemia Among Patients With Type 2 Diabetes in Taiwan

PURPOSE

We undertook a study to investigate the relationship between duration of medication use and prevalence of impaired awareness of hypoglycemia (IAH) among patients with insulin-treated or sulfonylurea-treated type 2 diabetes in Taiwan.

METHODS

A total of 898 patients (41.0% insulin users, 65.1% sulfonylurea users; mean [SD] age = 59.9 [12.3] years, 50.7% female) were enrolled in pharmacies, clinics, and health bureaus of Tainan City, Taiwan. Presence of IAH was determined with Chinese versions of the Gold questionnaire (Gold-TW) and Clarke questionnaire (Clarke-TW). Sociodemographics, disease and treatment histories, diabetes-related medical care, and health status were collected. We used multiple logistic regression models to assess the relationship between duration of medication use and IAH.

RESULTS

Overall IAH prevalence was 41.0% (Gold-TW) and 28.2% (Clarke-TW) among insulin users, and 65.3% (Gold-TW) and 51.3% (Clarke-TW) among sulfonylurea users. Prevalence increased with the duration of sulfonylurea use, whereas it decreased with the duration of insulin use. After controlling for potential confounders, 5 or more years of sulfonylurea use was significantly associated with 3.50-fold (95% CI, 2.39-5.13) and 3.06-fold (95% CI, 2.11-4.44) increases in the odds of IAH based on the Gold-TW and Clarke-TW criteria, respectively. On the other hand, regular blood glucose testing and retinal examinations were associated with reduced odds in both insulin users and sulfonylurea users.

CONCLUSIONS

The prevalence of IAH was high among patients using sulfonylureas long term, but the odds of this complication were attenuated for those who received regular diabetes-related medical care. Our study suggests that long-term sulfonylurea use and irregular follow-up increase risk for IAH. Further prospective studies are needed to confirm the observed associations.Annals Early Access article.

Hydrogel-Encapsulated Pancreatic Islet Cells as a Promising Strategy for Diabetic Cell Therapy

Islet transplantation has now become a promising treatment for insulin-deficient diabetes mellitus. Compared to traditional diabetes treatments, cell therapy can restore endogenous insulin supplementation, but its large-scale clinical application is impeded by donor shortages, immune rejection, and unsuitable transplantation sites. To overcome these challenges, an increasing number of studies have attempted to transplant hydrogel-encapsulated islet cells to treat diabetes. This review mainly focuses on the strategy of hydrogel-encapsulated pancreatic islet cells for diabetic cell therapy, including different cell sources encapsulated in hydrogels, encapsulation methods, hydrogel types, and a series of accessorial manners to improve transplantation outcomes. In addition, the formation and application challenges as well as prospects are also presented.

Hyperglycemia impairs EAAT2 glutamate transporter trafficking and glutamate clearance in islets of Langerhans: implications for type 2 diabetes pathogenesis and treatment

Pancreatic endocrine cells employ a sophisticated system of paracrine and autocrine signals to synchronize their activities, including glutamate, which controls hormone release and β-cell viability by acting on glutamate receptors expressed by endocrine cells. We here investigate whether alteration of the excitatory amino acid transporter 2 (EAAT2), the major glutamate clearance system in the islet, may occur in type 2 diabetes mellitus and contribute to β-cell dysfunction. Increased EAAT2 intracellular localization was evident in islets of Langerhans from T2DM subjects as compared with healthy control subjects, despite similar expression levels. Chronic treatment of islets from healthy donors with high-glucose concentrations led to the transporter internalization in vesicular compartments and reduced [H3]-d-glutamate uptake (65 ± 5% inhibition), phenocopying the findings in T2DM pancreatic sections. The transporter relocalization was associated with decreased Akt phosphorylation protein levels, suggesting an involvement of the phosphoinositide 3-kinase (PI3K)/Akt pathway in the process. In line with this, PI3K inhibition by a 100-µM LY294002 treatment in human and clonal β-cells caused the transporter relocalization in intracellular compartments and significantly reduced the glutamate uptake compared to control conditions, suggesting that hyperglycemia changes the trafficking of the transporter to the plasma membrane. Upregulation of the glutamate transporter upon treatment with the antibiotic ceftriaxone rescued hyperglycemia-induced β-cells dysfunction and death. Our data underscore the significance of EAAT2 in regulating islet physiology and provide a rationale for potential therapeutic targeting of this transporter to preserve β-cell survival and function in diabetes.NEW & NOTEWORTHY The glutamate transporter SLC1A2/excitatory amino acid transporter 2 (EAAT2) is expressed on the plasma membrane of pancreatic β-cells and controls islet glutamate clearance and β-cells survival. We found that the EAAT2 membrane expression is lost in the islets of Langerhans from type 2 diabetes mellitus (T2DM) patients due to hyperglycemia-induced downregulation of the phosphoinositide 3-kinase/Akt pathway and modification of its intracellular trafficking. Pharmacological rescue of EAAT2 expression prevents β-cell dysfunction and death, suggesting EAAT2 as a new potential target of intervention in T2DM.

Impact of Flash Glucose Monitoring on the Fear of Hypoglycemia Phenomenon in Adults with Type 1 Diabetes

Objective: To assess the clinical impact of flash glucose monitoring (FGM) systems on fear of hypoglycemia (FoH) and quality of life in adults with type 1 diabetes mellitus (T1DM). Methods: Prospective quasi-experimental study with a 12-month follow-up. People with T1DM (18-80 years old) and self-monitoring by blood capillary glycemia controls were included. The FH15 questionnaire, a survey validated in Spanish in a comparable study population, was used to diagnose FoH with a cutoff point of 28 points. Results: A total of 181 participants were included, with a FoH prevalence of 69% (n = 123). A mean reduction in FH15 score of -4 points (95% confidence interval [-5.5 to -3]; P < 0.001) was observed, along with an improvement in quality of life (EsDQOL-test (Diabetes Quality of Life, Spanish version), -7 points [-10; -4], P < 0.001) and satisfaction with treatment (Diabetes Treatment Satisfaction questionnaire, self-reported version [DTSQ-s] test, +4.5 points [4; 5.5], P < 0.001). At the end of the follow-up, 64.2% of the participants saw an improved FoH intensity, compared to 35.8% who scored the same or higher. This improvement in FoH status was associated with a higher time-in-range at the end of the follow-up (P = 0.003), as well as a lower time spent in hyperglycemia (P = 0.005). In addition, it was linked to participants with a high baseline FoH levels (P < 0.001) and those who were university degree holders (P = 0.07). Conclusions: FGM is associated with an overall reduction of FoH in adults with T1DM and with an increase in their quality of life. Nevertheless, a significant percentage of patients may experience an increase of this phenomenon leading to clinical repercussions and a profound impact on quality of life.

Anti-obesity and anti-diabetic bioactive peptides: A comprehensive review of their sources, properties, and techno-functional challenges

The scourge of obesity arising from obesogens and poor dieting still ravages our planet as half of the global population may be overweight and obese by 2035. This metabolic disorder is intertwined with type 2 diabetes (T2D), both of which warrant alternative therapeutic options other than clinically approved drugs like orlistat with their tendency of abuse and side effects. In this review, we comprehensively describe the global obesity problem and its connection to T2D. Obesity, overconsumption of fats, the mechanism of fat digestion, obesogenic gut microbiota, inhibition of fat digestion, and natural anti-obesity compounds are discussed. Similar discussions are made for diabetes with regard to glucose regulation, the diabetic gut microbiota, and insulinotropic compounds. The sources and production of anti-obesity bioactive peptides (AOBPs) and anti-diabetic bioactive peptides (ADBPs) are also described while explaining their structure-function relationships, gastrointestinal behaviors, and action mechanisms. Finally, the techno-functional applications of AOBPs and ADBPs are highlighted.

Glucose Prediction Using Population-based Models and Genetic Data in Type 1 Diabetes Patients

Type 1 Diabetes (T1D) is a chronic autoimmune disorder causing dys-glycaemia. Technological advancements, such as continuous glucose sensors and closed-loop insulin delivery systems, are potential solutions to more efficient disease management. Hyperglycaemia contributes to the development of long-term micro-or macro-vascular complications; on the other hand, hypoglycaemia remains an acute and potentially life-threatening challenge impacting the quality of life for individuals with T1D. This study is a prodromal analysis of how specific genetic variants related to hypoglycaemia can be introduced to short-term predictive modelling methods of subcutaneous glucose concentration prediction in people with T1D, aiming at improving prediction errors, especially, in hypoglycaemic regions. We employed a K-mode-based clustering of study participants based on their genetic data and we developed separate population-based univariate long short-term memory (LSTM) models per cluster. Cluster-wise population models, developed and tested on a dataset of 47 T1D patients, exhibited a MAPE of 11.6%, 12.8% and 12.0% on the 3 identified clusters, respectively, for a prediction horizon of 30 min. Cluster-wise predictions outperformed global population models for the case of Group 0 which possess an increased percentage of very low (<54 mg/dL) and very high (>250 mg/dL) glucose values. This finding shows that incorporating genetic data into the pipeline of population-based glucose predictive modelling in T1D can improve the prediction error.

Cost-effectiveness of a Novel Hypoglycaemia Programme: The 'HARPdoc vs BGAT' RCT

AIMS

To assess the cost-effectiveness of HARPdoc (Hypoglycaemia Awareness Restoration Programme for adults with type 1 diabetes and problematic hypoglycaemia despite optimised care), focussed upon cognitions and motivation, versus BGAT (Blood Glucose Awareness Training), focussed on behaviours and education, as adjunctive treatments for treatment-resistant problematic hypoglycaemia in type 1 diabetes, in a randomised controlled trial.

METHODS

Eligible adults were randomised to either intervention. Quality of life (QoL, measured using EQ-5D-5L); cost of utilisation of health services (using the adult services utilization schedule, AD-SUS) and of programme implementation and curriculum delivery were measured. A cost-utility analysis was undertaken using quality-adjusted life years (QALYs) as a measure of trial participant outcome and cost-effectiveness was evaluated with reference to the incremental net benefit (INB) of HARPdoc compared to BGAT.

RESULTS

Over 24 months mean total cost per participant was £194 lower for HARPdoc compared to BGAT (95% CI: -£2498 to £1942). HARPdoc was associated with a mean incremental gain of 0.067 QALYs/participant over 24 months post-randomisation: an equivalent gain of 24 days in full health. The mean INB of HARPdoc compared to BGAT over 24 months was positive: £1521/participant, indicating comparative cost-effectiveness, with an 85% probability of correctly inferring an INB > 0.

CONCLUSIONS

Addressing health cognitions in people with treatment-resistant hypoglycaemia achieved cost-effectiveness compared to an alternative approach through improved QoL and reduced need for medical services, including hospital admissions. Compared to BGAT, HARPdoc offers a cost-effective adjunct to educational and technological solutions for problematic hypoglycaemia.

Severe Hypoglycemia and Impaired Awareness of Hypoglycemia Persist in People With Type 1 Diabetes Despite Use of Diabetes Technology: Results From a Cross-sectional Survey

OBJECTIVE

To determine how diabetes technologies, including continuous glucose monitoring (CGM) and automated insulin delivery (AID) systems, impact glycemic metrics, prevalence of severe hypoglycemic events (SHEs), and impaired awareness of hypoglycemia (IAH) in people with type 1 diabetes in a real-world setting within the U.S.

RESEARCH DESIGN AND METHODS

In this retrospective, observational study with cross-sectional elements, participants aged ≥18 years were enrolled from the T1D Exchange Registry/online community. Participants completed a one-time online survey describing glycemic metrics, SHEs, and IAH. The primary objective was to determine the proportions of participants who reported achieving glycemic targets (assessed according to self-reported hemoglobin A1c) and had SHEs and/or IAH. We performed additional subgroup analyses focusing on the impact of CGM and insulin delivery modality.

RESULTS

A total of 2,074 individuals with type 1 diabetes were enrolled (mean ± SD age 43.0 ± 15.6 years and duration of type 1 diabetes 26.3 ± 15.3 years). The majority of participants (91.7%) were using CGM, with one-half (50.8%) incorporating AID. Despite high use of diabetes technologies, only 57.7% reported achieving glycemic targets (hemoglobin A1c <7%). SHEs and IAH still occurred, with ∼20% of respondents experiencing at least one SHE within the prior 12 months and 30.7% (95% CI 28.7, 32.7) reporting IAH, regardless of CGM or AID use.

CONCLUSIONS

Despite use of advanced diabetes technologies, a high proportion of people with type 1 diabetes do not achieve glycemic targets and continue to experience SHEs and IAH, suggesting an ongoing need for improved treatment strategies.

Healthcare and health situation of adults with type 2 diabetes in Germany: The study GEDA 2021/2022-Diabetes

Background

The nationwide study German Health Update (GEDA) 2021/2022-Diabetes was conducted to assess the current healthcare and health situation of adults with diabetes in Germany.

Methods

GEDA 2021/2022-Diabetes comprises a sample of adults with diagnosed diabetes from the general population. The analysis focuses on adults aged 45 years and over with type 2 diabetes (N = 1,448) and provides selected indicators on diabetes care as well as mental, social and general health.

Results

87.5 % of participants aged 45 years and over with type 2 diabetes are treated with blood glucose-lowering medication. 36.5 % receive insulin alone or in combination with other antidiabetics; 0.7 % use an insulin pump. Almost 96 % had an HbA1c measurement in the last year and about two thirds each report annual foot and eye examinations, participation in a diabetes self-management education programme and self-monitoring of their feet and of blood glucose (12.0 % with continuous glucose monitoring). On average, the quality of diabetes care is perceived as moderate. 23.8 % rate their mental health as excellent/very good. More than a tenth each have anxiety or depressive symptoms and feelings of loneliness. Half rate their general health as very good/good.

Conclusions

There is a potential for improvement in the quality of diabetes care and the mental and physical health of adults with type 2 diabetes.

Counterregulatory hormone and symptom responses to hypoglycaemia in people with type 1 diabetes, insulin-treated type 2 diabetes or without diabetes: the Hypo-RESOLVE hypoglycaemic clamp study

AIM

The sympathetic nervous and hormonal counterregulatory responses to hypoglycaemia differ between people with type 1 and type 2 diabetes and may change along the course of diabetes, but have not been directly compared. We aimed to compare counterregulatory hormone and symptom responses to hypoglycaemia between people with type 1 diabetes, insulin-treated type 2 diabetes and controls without diabetes, using a standardised hyperinsulinaemic-hypoglycaemic clamp.

MATERIALS

We included 47 people with type 1 diabetes, 15 with insulin-treated type 2 diabetes, and 32 controls without diabetes. Controls were matched according to age and sex to the people with type 1 diabetes or with type 2 diabetes. All participants underwent a hyperinsulinaemic-euglycaemic-(5.2 ± 0.4 mmol/L)-hypoglycaemic-(2.8 ± 0.13 mmol/L)-clamp.

RESULTS

The glucagon response was lower in people with type 1 diabetes (9.4 ± 0.8 pmol/L, 8.0 [7.0-10.0]) compared to type 2 diabetes (23.7 ± 3.7 pmol/L, 18.0 [12.0-28.0], p < 0.001) and controls (30.6 ± 4.7, 25.5 [17.8-35.8] pmol/L, p < 0.001). The adrenaline response was lower in type 1 diabetes (1.7 ± 0.2, 1.6 [1.3-5.2] nmol/L) compared to type 2 diabetes (3.4 ± 0.7, 2.6 [1.3-5.2] nmol/L, p = 0.001) and controls (2.7 ± 0.4, 2.8 [1.4-3.9] nmol/L, p = 0.012). Growth hormone was lower in people with type 2 diabetes than in type 1 diabetes, at baseline (3.4 ± 1.6 vs 7.7 ± 1.3 mU/L, p = 0.042) and during hypoglycaemia (24.7 ± 7.1 vs 62.4 ± 5.8 mU/L, p = 0.001). People with 1 diabetes had lower overall symptom responses than people with type 2 diabetes (45.3 ± 2.7 vs 58.7 ± 6.4, p = 0.018), driven by a lower neuroglycopenic score (27.4 ± 1.8 vs 36.7 ± 4.2, p = 0.012).

CONCLUSION

Acute counterregulatory hormone and symptom responses to experimental hypoglycaemia are lower in people with type 1 diabetes than in those with long-standing insulin-treated type 2 diabetes and controls.

Hypoglycemia Unawareness and Recurrent Severe Hypoglycemia in an Individual With Type 1 Diabetes Mellitus on Insulin

Background/Objective

Hypoglycemia unawareness is a complication of recurrent hypoglycemia that can complicate diabetes management and impact quality of life. We present the case of an individual with type 1 diabetes with hypoglycemia unawareness and recurrent severe hypoglycemia requiring emergency intervention.

Case Report

A 55-year-old man with type 1 diabetes was referred for hypoglycemia unawareness and recurrent hypoglycemia with seizures. Over the prior 4 years he had >400 paramedic responses with 56 hospitalizations. Blood glucose levels ranged between 0.7 and 2.4 mmol/L during these episodes and presenting Hemoglobin A1c (HbA1c) was 4.6% (28 mmol/mol). He was taking insulin glargine daily and aspart with meals via insulin pens with no alternative etiology for his hypoglycemia was identified. The patient expressed difficulty with self-management, social instability, and limited appointment attendance. He was provided a continuous glucose monitor, educational support, and glycemic targets were broadened. After 6 months, HbA1c was 4.6% (28 mmol/mol) and he had 65 paramedic responses. A multidisciplinary team was organized for biweekly follow-up, community outreach, remote technological support, and psychological counseling. After 2 years, the patient had 2 emergency responses and HbA1c was 7.2% (55.2 mmol/mol).

Discussion

Permissive hyperglycemia, educational interventions, and continuous glucose monitoring are validated strategies for prevention of hypoglycemia. Limiting hypoglycemia is crucial to restore hypoglycemia awareness, and in severe cases may require high intensity follow-up, community outreach, and psychosocial support.

Conclusion

Hypoglycemia unawareness can complicate hypoglycemia prevention. Severe refractory cases are often multifaceted and may warrant a multidisciplinary approach to identify and target patient-specific needs.