Modeling the consistency of hypoglycemic symptoms: high variability in diabetes

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.

Factors associated with non-adherence to insulin and non-insulin medications in patients with poorly controlled diabetes

OBJECTIVES

To evaluate differences in factors associated with self-reported medication non-adherence to insulin and non-insulin medications in patients with uncontrolled type 2 diabetes.

METHODS

In this secondary analysis of a randomized trial in patients with obesity and uncontrolled type 2 diabetes, multivariable logistic regression was used to evaluate associations between several clinical factors (measured with survey questionnaires at study baseline) and self-reported non-adherence to insulin and non-insulin medications.

RESULTS

Among 263 patients, reported non-adherence was 62% (52% for insulin, 55% for non-insulin medications). Reported non-adherence to non-insulin medications was less likely in white versus non-white patients (odds ratio (OR) = 0.42; 95%CI: 0.22,0.80) and with each additional medication taken (OR = 0.75; 95%CI: 0.61,0.93). Non-adherence to non-insulin medications was more likely with each point increase in a measure of diabetes medication intensity (OR = 1.43; 95%CI: 1.01,2.03), the Problem Areas in Diabetes (PAID) score (OR = 1.06; 95%CI: 1.02,1.12), and in men versus women (OR = 3.03; 95%CI: 1.06,8.65). For insulin, reporting non-adherence was more likely (OR = 1.02; 95%CI: 1.00,1.04) with each point increase in the PAID.

DISCUSSION

Despite similar overall rates of reported non-adherence to insulin and non-insulin medications, factors associated with reported non-adherence to each medication type differed. These findings may help tailor approaches to supporting adherence in patients using different types of diabetes medications.

The Impact of Hypoglycemia on Patients with Diabetes Mellitus: A Cross-Sectional Analysis

The increasing mortality and morbidity in patients with diabetes mellitus constitute a severe public health problem. The condition is recognized as a cause of impaired quality of life, high costs, and diminished productivity. In this study, we performed a cross-sectional analysis among 300 Polish participants with type 1 and type 2 diabetes to determine and classify risk factors associated with increased incidences of hypoglycemia. Including an open-access knowledge about the correlations between diabetes rates and human’s lifestyle, we confirm that the frequency of smoking and drinking alcohol, low BMI, inappropriate diet, low physical activity, lack of vaccination against influenza and pneumococci, and co-existence of other comorbidities such as cardiovascular diseases, thyroid diseases, hyperlipidemia, retinopathy, and asthma elevate the risk of hypoglycemia. Furthermore, hypoglycemic patients were more often malnourished, depressed, irritated, and exposed to stress. In sum, the analysis of the interaction between diabetes and sociodemographic, environmental, or other disease-related risk factors provides strategies to optimize glycemic control and reduce the incidence of hypoglycemia. Furthermore, we believe our findings may constitute a basis for promoting health by adjusting available and implementing new preventive services reducing hypoglycemic episodes in diabetic patients.

Clinical associations of an updated medication effect score for measuring diabetes treatment intensity

OBJECTIVES

The medication effect score reflects overall intensity of a diabetes regimen by consolidating dosage and potency of agents used. Little is understood regarding how medication intensity relates to clinical factors. We updated the medication effect score to account for newer agents and explored associations between medication effect score and patient-level clinical factors.

METHODS

Cross-sectional analysis of baseline data from a randomized controlled trial involving 263 Veterans with type 2 diabetes and hemoglobin A1c levels ≥8.0% (≥7.5% if under age 50). Medication effect score was calculated for all patients at baseline, alongside additional measures including demographics, comorbid illnesses, hemoglobin A1c, and self-reported psychosocial factors. We used multivariable regression to explore associations between baseline medication effect score and patient-level clinical factors.

RESULTS

Our sample had a mean age of 60.7 (SD = 8.2) years, was 89.4% male, and 57.4% non-White. Older age and younger onset of diabetes were associated with a higher medication effect score, as was higher body mass index. Higher medication effect score was significantly associated with medication nonadherence, although not with hemoglobin A1c, self-reported hypoglycemia, diabetes-related distress, or depression.

DISCUSSION

We observed several expected associations between an updated medication effect score and patient-level clinical factors. These associations support the medication effect score as an appropriate measure of diabetes regimen intensity in clinical and research contexts.

Hypoglycemia symptoms are reduced in hospitalized patients with diabetes

AIMS

Hospitalized patients with diabetes are have an impaired ability to detect hypoglycemia events. The purpose of this study was to compare hypoglycemia symptom scores (HSS) in hospitalized patients with diabetes after a documented blood glucose (BG) <70mg/dl with recalled HSS with outpatient hypoglycemia events.

METHODS

Non-critically ill hospitalized patients with diabetes grouped as symptomatic (n=23) or asymptomatic (n=32) at time of index hypoglycemia completed a standardized HSS-Questionnaires (HSS-Q) related to the inpatient event and to recall of symptoms with outpatient hypoglycemia.

RESULTS

After controlling for BG at time of index hypoglycemia (49.8±11.4 vs. 57.4±6.8mg/dl, p=0.02), symptomatic patients reported higher HSS than asymptomatic patients with the inpatient event (11.6±7.3 vs. 1.5±3.4, p<0.001) and in the outpatient setting (13.9±8.6 vs. 10.1±10.6, p<0.01). Recurrent hypoglycemia was more frequent in asymptomatic patients (13% vs. 44%, p=0.015) during the hospitalization.

CONCLUSIONS

Compared to symptomatic patients, asymptomatic patients had lower inpatient and outpatient HSS and more frequent recurrent hypoglycemia events. These results suggest modification of glycemic management strategies in high risk patients to reduce risk for hypoglycemia events.

Hypoglycaemia detection and prediction techniques: A systematic review on the latest developments

The main objective of diabetes control is to correct hyperglycaemia while avoiding hypoglycaemia, especially in insulin-treated patients. Fear of hypoglycaemia is a hurdle to effective correction of hyperglycaemia because it promotes under-dosing of insulin. Strategies to minimise hypoglycaemia include education and training for improved hypoglycaemia awareness and the development of technologies to allow their early detection and thus minimise their occurrence. Patients with impaired hypoglycaemia awareness would benefit the most from these technologies. The purpose of this systematic review is to review currently available or in-development technologies that support detection of hypoglycaemia or hypoglycaemia risk, and identify gaps in the research. Nanomaterial use in sensors is a promising strategy to increase the accuracy of continuous glucose monitoring devices for low glucose values. Hypoglycaemia is associated with changes on vital signs, so electrocardiogram and encephalogram could also be used to detect hypoglycaemia. Accuracy improvements through multivariable measures can make already marketed galvanic skin response devices a good noninvasive alternative. Breath volatile organic compounds can be detected by dogs and devices and alert patients at hypoglycaemia onset, while near-infrared spectroscopy can also be used as a hypoglycaemia alarms. Finally, one of the main directions of research are deep learning algorithms to analyse continuous glucose monitoring data and provide earlier and more accurate prediction of hypoglycaemia. Current developments for early identification of hypoglycaemia risk combine improvements of available 'needle-type' enzymatic glucose sensors and noninvasive alternatives. Patient usability will be essential to demonstrate to allow their implementation for daily use in diabetes management.

Toward an Optimal Definition of Hypoglycemia with Continuous Glucose Monitoring

BACKGROUND AND OBJECTIVE

As continuous glucose monitoring (CGM) becomes common in research and clinical practice, there is a need to understand how CGM-based hypoglycemia relates to hypoglycemia episodes defined conventionally as patient reported hypoglycemia (PRH). Data show that CGM identify many episodes of low interstitial glucose (LIG) that are not experienced by patients, and so the aim of this study is to use different PRH simulations to optimize CGM parameters of threshold (h) and duration (d) to provide the best PRH detection performance.

METHODS

The algorithm uses particle Markov chain Monte Carlo optimization to identify the optimal h and d which maximize an objective function for detecting PRH. We tested our algorithm by creating three different cases of PRH simulations.

RESULTS

We added three types of simulated PRH events to 10 weeks of anonymized CGM data from 96 type 1 diabetes people to see if the algorithm can detect the optimal parameters set out in the simulations. In simulation 1, we changed the locations of PRHs with respect to LIG episodes in the CGM signal to simulate random optimal LIG parameters for every individual. In simulation 2, the PRHs are CGM glucose <3.9 mmol/L followed by at least 20 min of rise > 0.11 mmol/L/min. Simulation 3 is like simulation 2 but with glucose threshold of 3.0 mmol/L. The median [interquartile range] of deviation between the optimized (found by the algorithm) and the optimal (known) h and d are -0.07% [-0.4, 1.9] and -1.3% [-5.9, 6.8], respectively across the subjects for simulation 1. The mean [min max] of the optimized LIG parameters are h = 3.8 [3.7, 3.8] mmol/L and d = 12 [10, 14] min for simulation 2 and they are h = 3.0 [2.9, 3] mmol/L and d = 10 [8, 14] min for simulation 3 across a 10-fold cross validation.

CONCLUSIONS

This work demonstrates the feasibility of the algorithm to find the best-fit definition of CGM-based hypoglycemia for PRH detection. In a prospective clinical study collecting CGM and PRH, the current algorithm will be used to optimize the definition of hypoglycemia with respect to PRH with the ambition of using the resulted definition as a surrogate for PRH in clinical practice.

Experimental Models of Impaired Hypoglycaemia-Associated Counter-Regulation

Impaired awareness of hypoglycaemia (IAH) affects around a quarter of patients with diabetes who receive insulin treatment. This condition is characterised by a progressive reduction in symptomatic and behavioural responses to hypoglycaemia, increasing risk of deeper drops in blood glucose, unconsciousness, and collapse. Thus, patients with IAH experience severe hypoglycaemic episodes more frequently, resulting in significant morbidity and mortality. IAH is thought to develop as a consequence of whole-body adaptations to repeated insulin-induced hypoglycaemia (RH), with widespread deficits in the hypoglycaemia counter-regulatory response (CRR). Despite this important insight, the precise pathophysiology by which RH leads to an attenuated CRR is unknown. Studies into the underlying mechanisms of IAH have employed a variety of protocols in humans and experimental species. The use of animal models has many investigational benefits, including the unprecedented increase in the availability of transgenic strains. However, modelling impaired hypoglycaemia-associated counter-regulation remains challenging and appropriate interpretation of findings across species and protocols even more so. Here, we review the experimental modelling of IAH and impaired hypoglycaemia-associated counter-regulation, with a focus on understanding species-specific variation in glucose homeostasis. This review will aid investigators in interpreting outputs from different studies in IAH and aid progress in the field.

Comparison of Group Medical Visits Combined With Intensive Weight Management vs Group Medical Visits Alone for Glycemia in Patients With Type 2 Diabetes: A Noninferiority Randomized Clinical Trial

IMPORTANCE

Traditionally, group medical visits (GMVs) for persons with diabetes improved glycemia by intensifying medications, which infrequently led to weight loss. Incorporating GMVs with intensive dietary change could enable weight loss and improve glycemia while decreasing medication intensity.

OBJECTIVE

To examine whether a program of GMVs combined with intensive weight management (WM) is noninferior to GMVs alone for change in glycated hemoglobin (HbA1c) level at 48 weeks (prespecified margin of 0.5%) and superior to GMVs alone for hypoglycemic events, diabetes medication intensity, and weight loss.

DESIGN, SETTING, AND PARTICIPANTS

This randomized clinical trial identified via the electronic medical record 2814 outpatients with type 2 diabetes, uncontrolled HbA1c, and body mass index (BMI; calculated as weight in kilograms divided by height in meters squared) of 27 or higher from Veterans Affairs Medical Center clinics in Durham and Greenville, North Carolina. Between January 12, 2015, and May 30, 2017, 263 outpatients started the intervention.

INTERVENTIONS

Participants randomized to the GMV group (n = 136) received counseling about diabetes-related topics with medication optimization every 4 weeks for 16 weeks, then every 8 weeks (9 visits). Participants randomized to the WM/GMV group (n = 127) received low-carbohydrate diet counseling with baseline medication reduction and subsequent medication optimization every 2 weeks for 16 weeks followed by an abbreviated GMV intervention every 8 weeks (13 visits).

MAIN OUTCOMES AND MEASURES

Outcomes included HbA1c level, hypoglycemic events, diabetes medication effect score, and weight at 48 weeks analyzed using hierarchical generalized mixed models to account for clustering within group sessions.

RESULTS

Among 263 participants (mean [SD] age, 60.7 [8.2] years; 235 [89.4%] men; 143 [54.4%] black), baseline HbA1c level was 9.1% (1.3%) and BMI was 35.3 (5.1). At 48 weeks, HbA1c level was improved in both study arms (8.2% in the WM/GMV arm and 8.3% in the GMV arm; mean difference, -0.1%; 95% CI, -0.5% to 0.2%; upper 95% CI, <0.5% threshold; P = .44). The WM/GMV arm had lower diabetes medication use (mean difference in medication effect score, -0.5; 95% CI, -0.6 to -0.3; P < .001) and greater weight loss (mean difference, -3.7 kg; 95% CI, -5.5 to -1.9 kg; P < .001) than did the GMV arm at 48 weeks and approximately 50% fewer hypoglycemic events (incidence rate ratio, 0.49; 95% CI, 0.27 to 0.71; P < .001) during the 48-week period.

CONCLUSIONS AND RELEVANCE

In GMVs for diabetes, addition of WM using a low-carbohydrate diet was noninferior for lowering HbA1c levels compared with conventional medication management and showed advantages in other clinically important outcomes.

TRIAL REGISTRATION

ClinicalTrials.gov identifier: NCT01973972.

Design and development of the Hypoglycaemia Symptom Rating Questionnaire (HypoSRQ)

AIMS

To evaluate the Hypoglycaemia Symptom Rating Questionnaire (HypoSRQ©) and relationships between self-reported hypoglycaemia and hypoglycaemia measured using blinded continuous glucose monitoring (CGM).

METHODS

Diabetes outpatients (n = 113) recruited from Ashford and St. Peter's Hospital completed the HypoSRQ (recent weeks version) and provided clinical information. Thirty participants used blinded CGM for six days and completed the HypoSRQ (24-hour version) for seven days, at the end of each week (7-day version), and after four weeks (recent weeks version).

RESULTS

The HypoSRQ had a single-factor structure and excellent internal consistency (α = 0.90). There was high correspondence in recalled symptoms, bother ratings and hypoglycaemic episodes across one week and four weeks (r = 0.84-0.98, p < 0.001). HypoSRQ-reported hypoglycaemia correlated significantly with CGM-measured hypoglycaemia (interstitial glucose ≤ 3.9 mmol/l) frequency (r = 0.72, p < 0.001) across six days. The magnitude of the correlation increased when the person's own threshold for detecting hypoglycaemia was used (r = 0.78, p < 0.001). The number of days (out of six) a person reported symptoms of hypoglycaemia was associated with the number of days CGM detected hypoglycaemia (interstitial glucose ≤ 3.9 mmol/l) (r = 0.83, p < 0.001) and remained significant after controlling for covariates.

CONCLUSIONS

Psychometric properties of the HypoSRQ make it attractive for use in people with insulin-treated diabetes. The HypoSRQ may be a less-invasive and more-economical alternative to CGM.

Are we missing hypoglycaemia? Elderly patients with insulin-treated diabetes present to primary care frequently with non-specific symptoms associated with hypoglycaemia

INTRODUCTION

We assessed if patients with known hypoglycaemia present on other occasions with non-specific symptoms associated with (but not diagnosed as) hypoglycaemia, potentially representing missed hypoglycaemia.

METHODS

335 primary care records (5/2/12-4/2/13) from patients aged >65 (79 on insulin, 85 on sulphonylureas, 121 on metformin only, 50 without diabetes) were assessed for hypoglycaemia episodes and consultations with non-specific symptoms, "hypo clues".

RESULTS

27/79(34%) insulin-treated patients had >1 documented hypoglycaemia episode, compared to 4/85(5%) sulphonylurea-treated patients, 2/121(2%) metformin-only treated patients, and none without diabetes, p<0.001. "Hypo clue" consultations were common: 1.37 consultations/patient/year in insulin-treated patients, 0.98/patient/year in sulphonylurea-treated, 0.97/patient/year in metformin only-treated, and 0.78/patient/year in non-diabetic patients, p=0.34. In insulin-treated patients with documented hypoglycaemia, 20/27(74%) attended on another occasion with a "hypo clue" symptom, compared to 21/52(40%) of those without hypoglycaemia, p=0.008. No significant difference in the other treatment groups. Nausea, falls and unsteadiness were the most discriminatory symptoms: 7/33(21%) with hypoglycaemia attended on another occasion with nausea compared to 14/302(5%) without hypoglycaemia, p=0.002; 10/33(30%) vs 36/302(12%) with falls, p=0.007; and 5/33(15%) vs 13/302(4%) with unsteadiness, p=0.023.

CONCLUSIONS

Non-specific symptoms are common in those >65 years. In insulin-treated patients at high hypoglycaemia risk, nausea, falls and unsteadiness should prompt consideration of hypoglycaemia.

Hypoglycemia evaluation and reporting in diabetes: Importance for the development of new therapies

Hypoglycemia complicating diabetes therapy is well recognized to be an ever-present threat to patients, their families, providers, payers, and regulators. Despite this being widely acknowledged, the regulatory stance on hypoglycemia as an endpoint in clinical trials to support new product registration has not evolved in any meaningful way since the publication of a position paper by an American Diabetes Association (ADA) Workgroup in 2005. As the impact of hypoglycemia on persons affected by diabetes is of major importance when assessing new treatments, the historical position of regulatory agencies on hypoglycemia is reviewed with respect to product approvals. The purpose of this article is to present proposals for facilitating development of therapies that reduce hypoglycemia risk through (1) development of composite measures of benefit for regulatory endpoints and (2) facilitation of the fulfillment of an unmet clinical need for reducing hypoglycemia. In view of greater comprehension of the effects of hypoglycemia, coupled with improved methodology to assess its frequency, the authors recommend: (1) a numerical cut point of <54 mg/dl (<3.0 mmol/L) as a clinically relevant level with which to define meaningful hypoglycemia for trials of diabetes therapies; (2) utilization in clinical trials of mature glucose monitoring technologies for purposes of regulatory evaluation and clinical decision-making; and (3) development of primary efficacy endpoint composites that include hypoglycemia rates and glycemic control.

Jump starting shared medical appointments for diabetes with weight management: Rationale and design of a randomized controlled trial

BACKGROUND

Rates of glycemic control remain suboptimal nationwide. Medication intensification for diabetes can have undesirable side effects (weight gain, hypoglycemia), which offset the benefits of glycemic control. A Shared Medical Appointment (SMA) intervention for diabetes that emphasizes weight management could improve glycemic outcomes and reduce weight while simultaneously lowering diabetes medication needs, resulting in less hypoglycemia and better quality of life. We describe the rationale and design for a study evaluating a novel SMA intervention for diabetes that primarily emphasizes low-carbohydrate diet-focused weight management.

METHODS

Jump Starting Shared Medical Appointments for Diabetes with Weight Management (Jump Start) is a randomized, controlled trial that is allocating overweight Veterans (body mass index≥27kg/m²) with type 2 diabetes into two arms: 1) a traditional SMA group focusing on medication management and self-management counseling; or 2) an SMA group that combines low-carbohydrate diet-focused weight management (WM/SMA) with medication management. Hemoglobin A1c reduction at 48weeks is the primary outcome. Secondary outcomes include hypoglycemic events, diabetes medication use, weight, medication adherence, diabetes-related quality of life, and cost-effectiveness. We hypothesize that WM/SMA will be non-inferior to standard SMA for glycemic control, and will reduce hypoglycemia, diabetes medication use, and weight relative to standard SMA, while also improving quality of life and costs.

CONCLUSIONS

Jump Start targets two common problems that are closely related but infrequently managed together: diabetes and obesity. By focusing on diet and weight loss as the primary means to control diabetes, this intervention may improve several meaningful patient-centered outcomes related to diabetes.

Reduction in N-methyl-D-aspartate Receptor-mediated Cell Death in Hippocampal Neurons by Glucose Reduction Preconditioning

BACKGROUND

Repeated episodes of reduced glucose availability can precondition the brain against damage caused by severe hypoglycemia. Because N-methyl-D-aspartate (NMDA) receptor activation may contribute to neuronal loss in the hippocampus following glucose deprivation, we tested the hypothesis that preconditioning with reduced glucose decreased NMDA receptor-mediated cell death in hippocampal neurons.

METHODS

Hippocampal slice cultures from 7-day old rats were used to study glucose reduction preconditioning and N-methyl-D-aspartate receptor (NMDAR)-mediated cell death. Preconditioning involved reductions in glucose to the following levels: 0.1 mM, 0.5, or 1.0 mM for 30 minutes, 60 minutes, or 90 minutes on 3 consecutive days. Cell death following 1-hour total glucose deprivation was measured with a vital dye technique (SYTOX fluorescence). As an index of NMDAR activity, cell death following application of 1 mM NMDA, was also measured.

RESULTS

A preconditioning protocol of 30 minutes of 0.1 mM glucose per day for 3 days reduced cell death following 1-hour total glucose by 65% to 70%, depending on cellular region. No reduction in NMDAR-mediated cell death was seen following any of the preconditioning treatments. However, when NMDAR-mediated cell death was assessed following preconditioning combined with subsequent total glucose deprivation, cell death was reduced in the cultures that had been preconditioned with 0.1 mM glucose for 30 minutes×3 days.

CONCLUSIONS

We found that that glucose reduction preconditioning protects hippocampal neurons against severe glucose deprivation-induced neuronal damage. This preconditioning was not associated with reductions in NMDAR-mediated cell death except when the preconditioning was combined with an additional exposure to a period of total glucose deprivation.

Development and validation of the hypoglycaemia problem-solving scale for people with diabetes mellitus

OBJECTIVE

To develop and psychometrically test a new instrument, the hypoglycaemia problem-solving scale (HPSS), which was designed to measure how well people with diabetes mellitus manage their hypoglycaemia-related problems.

METHODS

A cross-sectional survey design approach was used to validate the performance assessment instrument. Patients who had a diagnosis of type 1 or type 2 diabetes mellitus for at least 1 year, who were being treated with insulin and who had experienced at least one hypoglycaemic episode within the previous 6 months were eligible for inclusion in the study.

RESULTS

A total of 313 patients were included in the study. The initial draft of the HPSS included 28 items. After exploratory factor analysis, the 24-item HPSS consisted of seven factors: problem-solving perception, detection control, identifying problem attributes, setting problem-solving goals, seeking preventive strategies, evaluating strategies, and immediate management. The Cronbach's α for the total HPSS was 0.83.

CONCLUSIONS

The HPSS was verified as being valid and reliable. Future studies should further test and improve the instrument to increase its effectiveness in helping people with diabetes manage their hypoglycaemia-related problems.

Survey of Hypoglycemia in Elderly People With Type 2 Diabetes Mellitus in Japan

Background

The number of elderly type 2 diabetes mellitus (T2DM) patients in Japan is increasing continuously. Hypoglycemia is a significant issue in their treatment. However, the actual situation and related details of their hypoglycemia remain unclear. In order to elucidate them, the Japan Physicians Association conducted a large-scale questionnaire survey for physicians and their outpatients all over Japan.

Methods

Targeted elderly T2DM outpatients were 65 years old or older in 2011. Specialized questionnaire survey forms were distributed to both of physicians and patients. The forms for physicians included questions whether patient had hypoglycemia in the last 1 month or 1 year; those for patients included whether they experienced it in the same durations and any of the 28 symptoms that are suggestive of hypoglycemia or pertaining to geriatric syndrome in the last 1 month, as well as questions about knowledge regarding hypoglycemia. We analyzed associations between hypoglycemia and the symptoms, and between hypoglycemia and medications.

Results

Of 15,892 T2DM patients (age, 74.2 ± 6.3 years; diabetes duration, 12.8 ± 8.9 years; HbA1c, 7.0±1.0%), dipeptidyl peptidase-4 inhibitor (DPP-4i) was the most prescribed medication among all oral hypoglycemic agents (OHAs). The frequencies of hypoglycemia in the last 1 month recognized by physicians and experienced by patients were 7.8% and 10.4% (P < 0.0001), and in the last 1 year were 15.5% and 21.1% respectively (P < 0.0001). The most common symptom was “weakness, fatigue/feeling languid” and the majority of all patients reported neuroglycopenic or autonomic symptoms. Regarding monotherapy, hypoglycemia was observed in 32.7% of the patients with insulin, 4% in sulfonylurea (SU), 3.8% in glinide, and 3.5% in pioglitazone. The questions asking knowledge about hypoglycemia revealed that SU or insulin users had significantly more knowledge of hypoglycemia than others (P < 0.001); however, 63% of patients using insulin, and 31% of patients using SU always carried glucose or a similar medication with them.

Conclusions

The present study suggested two types of “hidden hypoglycemia”, one is that physicians did not detect and the other one is that patients were not aware. It is vital that physicians strive to prevent hypoglycemia by paying closer attention to symptoms of “hidden hypoglycemia” in their elderly patients.

Hypoglycaemia, Abnormal Lipids, and Cardiovascular Disease among Chinese with Type 2 Diabetes

We recruited a group of 6713 consecutive Chinese patients with T2D but normal renal and liver function who were admitted to one of 81 top tertiary care hospitals in China. Mild hypoglycaemia was defined as having symptomatic hypoglycaemia in one month before hospitalization. Severe hypoglycaemia was defined as having hypoglycaemia that needed assistance from other people in three months before hospitalization. Prior cardiovascular disease (CVD) was defined as having coronary heart disease, stroke, or peripheral arterial disease. Of 6713 patients, 80 and 304 had severe and mild hypoglycaemia episodes, respectively, and 561 had CVD. Patients with severe and mild hypoglycaemia episodes were more likely to have prior CVD (32.5% versus 16.5% versus 7.7%, P < 0.0001). Both mild and severe hypoglycaemia were associated with increased risk of CVD (adjusted odds ratios (ORs): 2.64, 95% CI: 1.85–3.76 for mild hypoglycaemia; 6.59, 95% CI: 3.79–11.45 for sever hypoglycaemia) than those patients free of hypoglycaemia. Further adjustment for lipid profile did not change these two ORs. In the same way, the ORs of lipid profile for CVD were similar before and after adjustment for hypoglycaemia. We concluded that hypoglycaemia and lipid profile were independently associated with increased risk of CVD.

Hypoglycaemia symptoms and impaired awareness of hypoglycaemia in adults with Type 1 diabetes: the association with diabetes duration

AIMS

To examine the association between diabetes duration and hypoglycaemia symptom profiles and the presence of impaired awareness of hypoglycaemia.

METHODS

A cross-sectional study was performed, using validated methods for recording hypoglycaemia symptoms and assessing hypoglycaemia awareness. The associations between symptom intensity, hypoglycaemia awareness and diabetes duration were examined, and the prevalence of impaired awareness was ascertained for Type 1 diabetes of differing durations.

RESULTS

Questionnaires were mailed to 636 adults with Type 1 diabetes, of whom 445 (70%) returned them. A total of 440 completed questionnaires were suitable for analysis. Longer diabetes duration was associated with lower intensity of autonomic symptoms (P for trend <0.001), but no association was observed with neuroglycopenic symptoms. The overall prevalence of impaired awareness of hypoglycaemia in this cohort was 17% (95% CI 14-21%) and increased with diabetes duration, from 3% for duration 2-9 years to 28% for duration ≥30 years (P for trend <0.001). Low autonomic symptom scores were not associated with a higher prevalence of impaired awareness.

CONCLUSIONS

Longer diabetes duration was associated with lower intensity of autonomic symptoms and a higher prevalence of impaired awareness of hypoglycaemia, suggesting that subjective symptoms of hypoglycaemia change over time. These observations underline the need for regular patient education about hypoglycaemia symptomatology and clinical screening for impaired awareness of hypoglycaemia.

Hypoglycemia

Hypoglycemia is a common, potentially avoidable consequence of diabetes treatment and is a major barrier to initiating or intensifying antihyperglycemic therapy in efforts to achieve better glycemic control. Therapy regimen and a history of hypoglycemia are the most important predictors of future events. Other risk factors include renal insufficiency, older age, and history of hypoglycemia-associated autonomic failure. Reported rates of hypoglycemia vary considerably among studies because of differences in study design, definitions used, and population included, among other factors. Although occurring more frequently in type 1 diabetes, hypoglycemia also is clinically important in type 2 diabetes. Symptoms experienced by patients vary among individuals, and many events remain undiagnosed. The incidence of severe events is unevenly distributed, with only a small proportion (∼ 5%) of individuals accounting for >50% of events. Consequently, clinicians must be conscientious in obtaining thorough patient histories, because an accurate picture of the frequency and severity of hypoglycemic events is essential for optimal diabetes management. Severe hypoglycemia in particular is associated with an increased risk of mortality, impairments in cognitive function, and adverse effects on patients' quality of life. Economically, hypoglycemia burdens the healthcare system and adversely affects workplace productivity, particularly after a nocturnal event. Ongoing healthcare reform efforts will result in even more emphasis on reducing this side effect of diabetes treatment. Therefore, improving patients' self-management skills and selecting or modifying therapy to reduce the risk of hypoglycemia will increase in importance for clinicians and patients alike.

Defective counterregulation and hypoglycemia unawareness in diabetes: mechanisms and emerging treatments

For people with diabetes, hypoglycemia remains the limiting factor in achieving glycemic control. This article reviews recent advances in how the brain senses and responds to hypoglycemia. Novel mechanisms by which individuals with insulin-treated diabetes develop hypoglycemia unawareness and impaired counterregulatory responses are outlined. Prevention strategies for reducing the incidence of hypoglycemia are discussed.

Recurrent/moderate hypoglycemia induces hippocampal dendritic injury, microglial activation, and cognitive impairment in diabetic rats

BACKGROUND

Recurrent/moderate (R/M) hypoglycemia is common in type 1 diabetes. Although mild or moderate hypoglycemia is not life-threatening, if recurrent, it may cause cognitive impairment. In the present study, we sought to determine whether R/M hypoglycemia leads to neuronal death, dendritic injury, or cognitive impairment.

METHODS

The experiments were conducted in normal and in diabetic rats. Rats were subjected to moderate hypoglycemia by insulin without anesthesia. Oxidative stress was evaluated by 4-Hydroxy-2-nonenal immunostaining and neuronal death was determined by Fluoro-Jade B staining 7 days after R/M hypoglycemia. To test whether oxidative injury caused by NADPH oxidase activation, an NADPH oxidase inhibitor, apocynin, was used. Cognitive function was assessed by Barnes maze and open field tests at 6 weeks after R/M hypoglycemia.

RESULTS

The present study found that oxidative injury was detected in the dendritic area of the hippocampus after R/M hypoglycemia. Sparse neuronal death was found in the cortex, but no neuronal death was detected in the hippocampus. Significant cognitive impairment and thinning of the CA1 dendritic region was detected 6 weeks after hypoglycemia. Oxidative injury, cognitive impairment, and hippocampal thinning after R/M hypoglycemia were more severe in diabetic rats than in non-diabetic rats. Oxidative damage in the hippocampal CA1 dendritic area and microglial activation were reduced by the NADPH oxidase inhibitor, apocynin.

CONCLUSION

The present study suggests that oxidative injury of the hippocampal CA1 dendritic region by R/M hypoglycemia is associated with chronic cognitive impairment in diabetic patients. The present study further suggests that NADPH oxidase inhibition may prevent R/M hypoglycemia-induced hippocampal dendritic injury.