Hypoglycemia

Pharmacological effect of Heritiera fomes on Long Evans rats against Postprandial Hyperglycemia and adsorption in vitro

Background

Natural restoratives from traditional medicinal plants are considered to be a convenient, potent, and risk-free substitute treatment for hyperglycaemia. Our objective was to explore the activity of the crude extract of Heritiera fomes on postprandial hyperglycaemia by assessing relative measurements in a laboratory animal model.

Methods

The Streptozotocin induced diabetic rat (n = 88, twenty-two per group) was used for the glucose tolerance test as an initial support for the study. BaSO4 was administered orally as a marker to measure gut motility after one hour of methanolic extract (500 mg/kg body weight) administration where, only purified water (10 ml/kg) was used to treat the control group (n = 12) and a dose (500 mg/kg) of H. fomes extract was used for the test group (n = 12 in each group). After 60 min of incubation of the mixture of extract and glucose with 10% (v/v) yeast cell suspension, the absorbance was measured to determine the capacity of glucose absorption by yeast cells. Sixty Long Evans rats (n = 12 in each group) were used to assess disaccharidase enzyme activity as µmol/mg protein per hour by Lowry's protein estimation method. The carbohydrate absorption investigation was executed to evaluate the leftover sucrose content in the gastrointestinal system (n = 64).

Results

After oral administration of MHFL (71.84%), MHFB (71.41%), and MHFR (72.55%), GI motility (%) increased significantly (p < 0.001) compared to the control group (59.06%). A significant increase in glucose uptake and adsorption capacity measured by different concentrations of glucose ensures the decrease of glucose bound rate and a significant drop in blood glucose concentration. The significant (p < 0.001) decrease in intestinal disaccharidase activity of MHFL (1.40), MHFB (1.36), and MHFR (1.20) in comparison to the control group (1.50) indicates that the presence of H. fomes may reduce glucose absorption in the small bowel. Significant (p < 0.001 & p < 0.05) accumulation of sucrose content in the six different parts of the GI tract suggests the absorption of sucrose was decreased.

Conclusions

The findings of this study provide evidence on probable mechanisms for the anti-diabetic characteristics of H. fomes, and it is predicted that this plant will be studied further for the development of strong anti-hyperglycemic medicines.

Inter-relationships between gastric emptying and glycaemia: Implications for clinical practice

Gastric emptying (GE) exhibits a wide inter-individual variation and is a major determinant of postprandial glycaemia in health and diabetes; the rise in blood glucose following oral carbohydrate is greater when GE is relatively more rapid and more sustained when glucose tolerance is impaired. Conversely, GE is influenced by the acute glycaemic environment acute hyperglycaemia slows, while acute hypoglycaemia accelerates it. Delayed GE (gastroparesis) occurs frequently in diabetes and critical illness. In diabetes, this poses challenges for management, particularly in hospitalised individuals and/or those using insulin. In critical illness it compromises the delivery of nutrition and increases the risk of regurgitation and aspiration with consequent lung dysfunction and ventilator dependence. Substantial advances in knowledge relating to GE, which is now recognised as a major determinant of the magnitude of the rise in blood glucose after a meal in both health and diabetes and, the impact of acute glycaemic environment on the rate of GE have been made and the use of gut-based therapies such as glucagon-like peptide-1 receptor agonists, which may profoundly impact GE, in the management of type 2 diabetes, has become commonplace. This necessitates an increased understanding of the complex inter-relationships of GE with glycaemia, its implications in hospitalised patients and the relevance of dysglycaemia and its management, particularly in critical illness. Current approaches to management of gastroparesis to achieve more personalised diabetes care, relevant to clinical practice, is detailed. Further studies focusing on the interactions of medications affecting GE and the glycaemic environment in hospitalised patients, are required.

The association of dietary glycemic index and glycemic load with the risk of insomnia in the adult population

BACKGROUND

A dietary pattern with a high glycemic index (GI) and glycemic load (GL) can be a precursor to sleep disorders that link to many chronic diseases. We aimed to assess the association of dietary GI and GL with the risk of insomnia in Iranian adults.

METHODS

A total of 111 newly diagnosed insomnia cases and 333 controls aged 18-60 years were included in this case-control study. The participants' dietary intakes were collected using a valid and reliable food frequency questionnaire. The diagnosis of insomnia in subjects was performed by a neurologist using the Insomnia Severity Index (ISI) questionnaire. Multivariable logistic regression models, adjusted for the potential confounders, were used to determine the risk of insomnia according to tertiles of dietary glycemic indices.

RESULTS

The mean (SD) age and BMI of the study population (78.6% female) were 31.8 (10.0) years and 24.70 (3.62) kg/m², respectively. The median (IQR) of dietary GI and GL in subjects was 62.7 (57.0-68.6) and 213.5(167.4-268.5), respectively. Based on the multivariable-adjusted model, after controlling for age, sex, physical activity, obesity, smoking, socioeconomic score, general health questionnaire (GHQ) score, and dietary energy intake, the odds of insomnia were increased across tertiles of dietary GL[(OR:2.72,95%CI:1.10-6.70),(P_trend = 0.017)], however, no significant association was observed between high GI diet and insomnia risk [(OR:1.38,95%CI:0.77-2.47),(P_trend = 0.298)].

CONCLUSIONS

Our results revealed that greater adherence to dietary pattern with high GL could be increased the odds of insomnia in Iranian adults.

Pathophysiology and management of hypoglycemia in diabetes

In the century since the discovery of insulin, diabetes has changed from an early death sentence to a manageable chronic disease. This change in longevity and duration of diabetes coupled with significant advances in therapeutic options for patients has fundamentally changed the landscape of diabetes management, particularly in patients with type 1 diabetes mellitus. However, hypoglycemia remains a major barrier to achieving optimal glycemic control. Current understanding of the mechanisms of hypoglycemia has expanded to include not only counter-regulatory hormonal responses but also direct changes in brain glucose, fuel sensing, and utilization, as well as changes in neural networks that modulate behavior, mood, and cognition. Different strategies to prevent and treat hypoglycemia have been developed, including educational strategies, new insulin formulations, delivery devices, novel technologies, and pharmacologic targets. This review article will discuss current literature contributing to our understanding of the myriad of factors that lead to the development of clinically meaningful hypoglycemia and review established and novel therapies for the prevention and treatment of hypoglycemia.

Reporting and methodological quality of systematic reviews of DPP-4 inhibitors for patients with type 2 diabetes mellitus: an evidence-based mapping

AIMS

To evaluate the reporting and methodological quality of relevant systematic reviews (SRs) and meta-analyses (MAs) on Dipeptidyl peptidase-4 inhibitors (DPP-4I) for Type 2 diabetes mellitus (T2DM).

METHODS

Relevant SRs and MAs on T2DM and DPP-4I published between 2017 and November 2021 were retrieved from PubMed, Embase, Cochrane Library, Web of Science, VIP, CNKI, CBM, and WanFang databases. Two independent reviewers performed the search, selection, and data extraction. The reporting and methodological quality of the reviewers was performed according to the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) and Assessing the Methodological Quality of Systematic Reviews 2 (AMSTAR 2) tools. The relationship between reporting and methodological quality score was assessed with the Spearman correlation test.

RESULTS

Twenty-one studies involving 151,715 participants were included in the study. This overview showed that DPP-4I was safer and more efficacious than other anti-hyperglycemic drugs (OADs) in treating T2DM. The methodological quality of one SR was low, while the rest were very low. Thus, refinements are needed in the quality of protocol and registration information, a complete search strategy, the summary of the evidence, the listing of excluded studies, assessing the potential impact of risk of bias in RCTs, and discussing the RoB on MA results, and the funding of RCTs need improvement for generating SR. In addition, the reporting and methodological quality scores were moderately correlated (r_S = 0.66, P = 0.001).

CONCLUSIONS

DPP-4I is safer and more efficacious than OADs in treating T2DM. However, the reporting and methodological quality of the related SRs was unsatisfactory. Therefore, PRISMA and AMSTAR 2 analyses should be followed to enhance the overall quality of future SRs.

Acceleration of Gastric Emptying by Insulin-Induced Hypoglycemia is Dependent on the Degree of Hypoglycemia

CONTEXT

Hypoglycemia is a major barrier to optimal glycemic control in insulin-treated diabetes. Recent guidelines from the American Diabetes Association have subcategorized "non-severe" hypoglycemia into level 1 (<3.9 mmol/L) and 2 (<3 mmol/L) hypoglycemia. Gastric emptying of carbohydrate is a major determinant of postprandial glycemia but its role in hypoglycemia counter-regulation remains underappreciated. "Marked" hypoglycemia (~2.6 mmol/L) accelerates gastric emptying and increases carbohydrate absorption in health and type 1 diabetes, but the impact of "mild" hypoglycemia (3.0-3.9 mmol/L) is unknown.

OBJECTIVE

To determine the effects of 2 levels of hypoglycemia, 2.6 mmol/L ("marked") and 3.6 mmol/L ("mild"), on gastric emptying in health.

DESIGN, SETTING, AND SUBJECTS

Fourteen healthy male participants (mean age: 32.9 ± 8.3 years; body mass index: 24.5 ± 3.4 kg/m2) from the general community underwent measurement of gastric emptying of a radiolabeled solid meal (100 g beef) by scintigraphy over 120 minutes on 3 separate occasions, while blood glucose was maintained at either ~2.6 mmol/L, ~3.6 mmol/L, or ~6 mmol/L in random order from 15 minutes before until 60 minutes after meal ingestion using glucose-insulin clamp. Blood glucose was then maintained at 6 mmol/L from 60 to 120 minutes on all days.

RESULTS

Gastric emptying was accelerated during both mild (P = 0.011) and marked (P = 0.001) hypoglycemia when compared to euglycemia, and was more rapid during marked compared with mild hypoglycemia (P = 0.008). Hypoglycemia-induced gastric emptying acceleration during mild (r = 0.57, P = 0.030) and marked (r = 0.76, P = 0.0014) hypoglycemia was related to gastric emptying during euglycemia.

CONCLUSION

In health, acceleration of gastric emptying by insulin-induced hypoglycemia is dependent on the degree of hypoglycemia and baseline rate of emptying.

Machine Learning Techniques for Hypoglycemia Prediction: Trends and Challenges

(1) Background: the use of machine learning techniques for the purpose of anticipating hypoglycemia has increased considerably in the past few years. Hypoglycemia is the drop in blood glucose below critical levels in diabetic patients. This may cause loss of cognitive ability, seizures, and in extreme cases, death. In almost half of all the severe cases, hypoglycemia arrives unannounced and is essentially asymptomatic. The inability of a diabetic patient to anticipate and intervene the occurrence of a hypoglycemic event often results in crisis. Hence, the prediction of hypoglycemia is a vital step in improving the life quality of a diabetic patient. The objective of this paper is to review work performed in the domain of hypoglycemia prediction by using machine learning and also to explore the latest trends and challenges that the researchers face in this area; (2) Methods: literature obtained from PubMed and Google Scholar was reviewed. Manuscripts from the last five years were searched for this purpose. A total of 903 papers were initially selected of which 57 papers were eventually shortlisted for detailed review; (3) Results: a thorough dissection of the shortlisted manuscripts provided an interesting split between the works based on two categories: hypoglycemia prediction and hypoglycemia detection. The entire review was carried out keeping this categorical distinction in perspective while providing a thorough overview of the machine learning approaches used to anticipate hypoglycemia, the type of training data, and the prediction horizon.

Gastrointestinal autonomic neuropathy in diabetes

Gastrointestinal autonomic neuropathy represents an important and diverse, but poorly appreciated, manifestation of diabetic autonomic neuropathy that impacts negatively on quality of life. There is no test to assess gastrointestinal autonomic nerve damage directly in humans; cardiovascular autonomic reflex tests are often used as a surrogate, but are suboptimal. Gastrointestinal symptoms are common in diabetes, but usually correlate only weakly with disordered motility. Diabetic gastroparesis, or abnormally delayed gastric emptying, occurs frequently and is the best characterized manifestation of gastrointestinal autonomic neuropathy. There is a bi-directional relationship between postprandial glycaemia and the rate of gastric emptying. However, autonomic neuropathy can affect the function of any gut segment from the esophagus to the anus. Current management options for gastrointestinal autonomic neuropathy are, for the main part, empirical and sub-optimal.

Multiple predictively equivalent risk models for handling missing data at time of prediction: With an application in severe hypoglycemia risk prediction for type 2 diabetes

The presence of missing data at the time of prediction limits the application of risk models in clinical and research settings. Common ways of handling missing data at the time of prediction include measuring the missing value and employing statistical methods. Measuring missing value incurs additional cost, whereas previously reported statistical methods results in reduced performance compared to when all variables are measured. To tackle these challenges, we introduce a new strategy, the MMTOP algorithm (Multiple models for Missing values at Time Of Prediction), which does not require measuring additional data elements or data imputation. Specifically, at model construction time, the MMTOP constructs multiple predictively equivalent risk models utilizing different risk factor sets. The collection of models are stored and to be queried at prediction time. To predict an individual's risk in the presence of incomplete data, the MMTOP selects the risk model based on measurement availability for that individual from the collection of predictively equivalent models and makes the risk prediction with the selected model. We illustrate the MMTOP with severe hypoglycemia (SH) risk prediction based on data from the Action to Control Cardiovascular Risk in Diabetes (ACCORD) study. We identified 77 predictively equivalent models for SH with cross-validated c-index of 0.77 ± 0.03. These models are based on 77 distinct risk factor sets containing 12-17 risk factors. In terms of handling missing data at the time of prediction, the MMTOP outperforms all four tested competitor methods and maintains consistent performance as the number of missing variables increase.

High glycemic index and glycemic load diets as risk factors for insomnia: analyses from the Women's Health Initiative

BACKGROUND

Previous studies have shown mixed results on the association between carbohydrate intake and insomnia. However, any influence that refined carbohydrates have on risk of insomnia is likely commensurate with their relative contribution to the overall diet, so studies are needed that measure overall dietary glycemic index (GI), glycemic load, and intakes of specific types of carbohydrates.

OBJECTIVE

We hypothesized that higher GI and glycemic load would be associated with greater odds of insomnia prevalence and incidence.

METHODS

This was a prospective cohort study with postmenopausal women who participated in the Women's Health Initiative Observational Study, investigating the relations of GI, glycemic load, other carbohydrate measures (added sugars, starch, total carbohydrate), dietary fiber, and specific carbohydrate-containing foods (whole grains, nonwhole/refined grains, nonjuice fruits, vegetables, dairy products) with odds of insomnia at baseline (between 1994 and 1998; n = 77,860) and after 3 y of follow-up (between 1997 and 2001; n = 53,069).

RESULTS

In cross-sectional and longitudinal analyses, higher dietary GI was associated with increasing odds of prevalent (fifth compared with first quintile OR: 1.11; CI: 1.05, 1.16; P-trend = 0.0014) and incident (fifth compared with first quintile OR: 1.16; CI: 1.08, 1.25; P-trend < 0.0001) insomnia in fully adjusted models. Higher intakes of dietary added sugars, starch, and nonwhole/refined grains were each associated with higher odds of incident insomnia. By contrast, higher nonjuice fruit and vegetable intakes were significantly associated with lower odds of incident insomnia. Also, higher intakes of dietary fiber, whole grains, nonjuice fruit, and vegetables were significantly associated with lower odds of prevalent insomnia.

CONCLUSIONS

The results suggest that high-GI diets could be a risk factor for insomnia in postmenopausal women. Substitution of high-GI foods with minimally processed, whole, fiber-rich carbohydrates should be evaluated as potential treatments of, and primary preventive measures for, insomnia in postmenopausal women.

Patient and physician preferences for type 2 diabetes medications: a systematic review

Background

There are several treatments to cure type 2 diabetes (T2D) and every one of them has certain attributes which is lead patients and specialists to have different preferences and select power. Therefore, we did this systematic study to evaluate patients̓ and physicians̓ preferences for type 2 diabetes medications by extracting attributes of anti-diabetic medications and identifying their relative importance.

Methods

We searched the PubMed, Ovid, Web of science, Scopus and Embase databases for articles which have been published on or before May 8th, 2018(The start time of the search in our study was May 8th, 2018).

Results

The searches identified 3346 studies, of which 17 (from 2009 to 2017) were included in the final synthesis and 27 attributes of type 2 anti-diabetic have been investigated. The most important attributes are changes of blood glucose and HbA1c level, hypoglycemia events, weight changes, gastrointestinal complications, cardiovascular effects, medicines cost, and administration mode and dosage of medicines.

Conclusion

physicians and patients prefer antidiabetics which is reduce blood glucose and HbA1c level effectively and have low side effects too (hypoglycemic event, cardiovascular and gastrointestinal). The effect of weight reduction, low cost, low dosing and low frequency of using. Health care providers, Specialist, and manufacturers should consider to these attributes in treatment process and marketing. It can increase adherence to management approaches, and reduce morbidity of patients with type 2 diabetes.

Effectiveness of insulin glargine U-300 versus insulin glargine U-100 on nocturnal hypoglycemia and glycemic control in type 1 and type 2 diabetes: a systematic review and meta-analysis

AIMS

To assess the effectiveness of insulin glargine 300 ui/ml (Gla-300) compared with insulin glargine 100 ui/ml (Gla-100) on reducing nocturnal hypoglycemia and improving glycemic control in type 1 and type 2 diabetes patients.

METHODS

We systematically searched in Medline, Embase, Web of Science, and Cochrane Central Register of Controlled Trials until July 4th, 2018. This study was registered with PROSPERO (CRD42017080134). We included randomized clinical trials comparing Gla-300 versus Gla-100 reporting the rate ratio or number of events of nocturnal hypoglycemia and HbA_1c levels percentage or mmol/mol^-1. The main outcome was the incidence rate ratio (RR) of nocturnal hypoglycemia events. The heterogeneity of results across studies was assessed using the I² statistic. Fixed- and random-effect models were used to estimate pooled RRs.

RESULTS

Nine studies were included in the meta-analysis, including 3977 adult patients. Compared with Gla-100, the use of Gla-300 reduced confirmed nocturnal hypoglycemia [RR = 0.81 (0.69, 0.95)] and clinically significant nocturnal hypoglycemia [RR = 0.75 (0.63, 0.91)]. Reductions in clinically significant nocturnal hypoglycemia events [RR = 0.64 (0.42, 0.97)] in type 1 diabetes patients were found. A small decrease in HbA_1c levels in favor of Gla-300 in the pooled sample was identified [ES = - 0.08 (95% CI - 0.14, - 0.01)].

CONCLUSIONS

The best current evidence indicates that Gla-300 reduces the incidence of nocturnal hypoglycemia with slight improvements in glycemic control compared with Gla-100 in both type 1 and type 2 diabetes adult patients.

Hypoglycaemia and gastric emptying

Hypoglycaemia is arguably the most important complication of insulin therapy in type 1 and type 2 diabetes. Counter-regulation of hypoglycaemia is dependent on autonomic function and frequent hypoglycaemia may lead to reductions in both autonomic warning signals and the catecholamine response, the so-called "impaired awareness of hypoglycaemia". It is now appreciated that gastric emptying is a major determinant of the glycaemic response to carbohydrate-containing meals in both health and diabetes, that disordered (especially delayed) gastric emptying occurs frequently in diabetes, and that acute hypoglycaemia accelerates gastric emptying substantially. However, the potential relevance of gastric emptying to the predisposition to, and counter-regulation of, hypoglycaemia has received little attention. In insulin-treated patients, the rate of gastric emptying influences the timing of the postprandial insulin requirement, and gastroparesis is likely to predispose to postprandial hypoglycaemia. Conversely, the marked acceleration of gastric emptying induced by hypoglycaemia probably represents an important counter-regulatory response to increase the rate of carbohydrate absorption. This review summarizes the current knowledge of the inter-relationships between hypoglycaemia and gastric emptying, with a focus on clinical implications.

Prognostic Significance of Blood Glucose Levels and Alterations Among Patients with Aluminium Phosphide Poisoning

Objectives

This study aimed to assess the prognostic significance of blood glucose levels and blood glucose alterations (i.e. hyper- or hypoglycaemia) among patients with aluminium phosphide (AlP) poisoning.

Methods

This prospective observational study was conducted at the Postgraduate Institute of Medical Education & Research, Chandigarh, India, between January 2010 and June 2011. All patients presenting to the emergency department with a definitive history of AlP ingestion or symptoms compatible with AlP poisoning were included in the study. Blood glucose levels were recorded at presentation and every six hours thereafter. Alterations in blood glucose levels and other clinical and laboratory variables were subsequently compared between survivors and non-survivors.

Results

A total of 116 patients with AlP poisoning were identified. Of these, 57 patients (49%) survived and 59 patients (51%) died. At presentation, the mean blood glucose levels of survivors and non-survivors were 119.9 ± 35.7 mg/dL and 159.7 ± 92.5 mg/dL, respectively (P <0.001). In comparison to the survivors, non-survivors had significantly higher heart rates, total leukocyte counts, blood glucose level alterations and serum creatinine levels (P <0.050). In addition, systolic blood pressure, Glasgow coma scale scores, arterial blood gas pH and bicarbonate values and duration of hospital stay was significantly lower compared to survivors (P <0.001). However, neither blood glucose levels at admission nor blood glucose alterations correlated independently with mortality in a multivariate analysis.

Conclusion

The role of blood glucose level alterations in predicting patient outcomes in AlP poisoning cases remains inconclusive. Further studies with larger sample sizes are required.

Development of a model to predict 5-year risk of severe hypoglycemia in patients with type 2 diabetes

OBJECTIVE

We constructed a predictive model of long-term risk for severe hypoglycemia (SH: hypoglycemia requiring assistance) in patients with type 2 diabetes (T2DM).

RESEARCH DESIGN AND METHODS

Data from the Action to Control Cardiovascular Risk in Diabetes (ACCORD) study (original n=10 251, n=5135 used in the current analysis), a randomized, multicenter, double 2×2 factorial design study examining the effect of glycemic, blood pressure, and lipid control on cardiovascular outcomes in patients with diagnosed T2DM, were used. Over the follow-up (3.76±1.12 years), the ACCORD participants experienced 607 incident SH events. Cox regression was used to identify the SH risk prediction model.

RESULTS

We identified 17 predictors-glycemic management, age, race, education, waist circumference, medications (insulin, antihypertensive, HMG-CoA reductase inhibitors, sulfonylurea, biguanide and meglitinide), years since diabetes diagnosis, history of hypoglycemia in the last week, systolic blood pressure, diastolic blood pressure, serum creatinine, and urinary albumin creatinine ratio-to construct a prediction model for SH (c-statistic=0.782). Using this information, we derived point scores to estimate the 5-year risk for SH in individual patients with T2DM. After adjusting for other variables in the model, the three strongest predictors for SH over 5 years were intensive glycemic management (HR=2.37, 95% CI 1.99 to 2.83), insulin use (HR=2.14, 95% CI 1.77 to 2.59), and antihypertensive medication use (HR=1.90, 95% CI 1.26 to 2.86).

CONCLUSION

Using the ACCORD data, we identified attributes to predict 5-year risk of SH in patients with T2DM, which warrant evaluation in broader populations to determine applicability.

Standardizing Clinically Meaningful Outcome Measures Beyond HbA1c for Type 1 Diabetes: A Consensus Report of the American Association of Clinical Endocrinologists, the American Association of Diabetes Educators, the American Diabetes Association, the Endocrine Society, JDRF International, The Leona M. and Harry B. Helmsley Charitable Trust, the Pediatric Endocrine Society, and the T1D Exchange

OBJECTIVE

To identify and define clinically meaningful type 1 diabetes outcomes beyond hemoglobin A1c (HbA1c) based upon a review of the evidence, consensus from clinical experts, and input from researchers, people with type 1 diabetes, and industry. Priority outcomes include hypoglycemia, hyperglycemia, time in range, diabetic ketoacidosis (DKA), and patient-reported outcomes (PROs). While priority outcomes for type 1 and type 2 diabetes may overlap, type 1 diabetes was the focus of this work.

RESEARCH AND METHODS

A Steering Committee-comprising representatives from the American Association of Clinical Endocrinologists, the American Association of Diabetes Educators, the American Diabetes Association, the Endocrine Society, JDRF International, The Leona M. and Harry B. Helmsley Charitable Trust, the Pediatric Endocrine Society, and the T1D Exchange-was the decision-making body for the Type 1 Diabetes Outcomes Program. Their work was informed by input from researchers, industry, and people with diabetes through Advisory Committees representing each stakeholder group. Stakeholder surveys were used to identify priority outcomes. The outcomes prioritized in the surveys were hypoglycemia, hyperglycemia, time in range, DKA, and PROs. To develop consensus on the definitions of these outcomes, the Steering Committee relied on published evidence, their clinical expertise, and feedback from the Advisory Committees.

RESULTS

The Steering Committee developed definitions for hypoglycemia, hyperglycemia, time in range, and DKA in type 1 diabetes. The definitions reflect their assessment of the outcome's short- and long-term clinical impact on people with type 1 diabetes. Knowledge gaps to be addressed by future research were identified. The Steering Committee discussed PROs and concluded that further type 1 diabetes-specific development is needed.

CONCLUSIONS

The Steering Committee recommends use of the defined clinically meaningful outcomes beyond HbA1c in the research, development, and evaluation of type 1 diabetes therapies.

Renal glucose metabolism in normal physiological conditions and in diabetes

The kidney plays an important role in glucose homeostasis via gluconeogenesis, glucose utilization, and glucose reabsorption from the renal glomerular filtrate. After an overnight fast, 20-25% of glucose released into the circulation originates from the kidneys through gluconeogenesis. In this post-absorptive state, the kidneys utilize about 10% of all glucose utilized by the body. After glucose ingestion, renal gluconeogenesis increases and accounts for approximately 60% of endogenous glucose release in the postprandial period. Each day, the kidneys filter approximately 180g of glucose and virtually all of this is reabsorbed into the circulation. Hormones (most importantly insulin and catecholamines), substrates, enzymes, and glucose transporters are some of the various factors influencing the kidney's role. Patients with type 2 diabetes have an increased renal glucose uptake and release in the fasting and the post-prandial states. Additionally, glucosuria in these patients does not occur at plasma glucose levels that would normally produce glucosuria in healthy individuals. The major abnormality of renal glucose metabolism in type 1 diabetes appears to be impaired renal glucose release during hypoglycemia.

Social vulnerability and hypoglycemia among patients with diabetes

Lower-income populations are hit harder by the diabetes epidemic as regards both prevalence and the risk of complications. Food Insecurity is one of the mechanisms through which poverty may predispose people with low socio-economic status to poorer control and higher complication rates. The United Nations Food and Agriculture Organization defined food security as "the right to have access to sufficient nutritional and culturally acceptable food choices." Adults suffering from diabetes with limited income have a 40% greater chance of having food insecurity and an inadequate blood glucose control. Such patients have a two-fold greater risk of developing severe hypoglycemia. In addition, several studies have shown that social vulnerability resulting from food insecurity, low socioeconomic status, low educational levels, and poor health education is an independent risk factor for hypoglycemia, even after conventional predictors are controlled. This review analyzes the literature available on social vulnerability as a non-conventional risk factor for development of hypoglycemia in diabetic subjects.

Hypoglycemia and diabetes: increased need for awareness

Hypoglycemia is an abnormally low plasma glucose concentration that may expose individuals to potential harm. It is associated with treatment of type 1 diabetes and type 2 diabetes. Diabetes-related hypoglycemia may result in various complications, reduced quality of life, and increased costs. Hypoglycemia, therefore, impacts patient management and must be considered by primary healthcare practitioners at the forefront of diabetes care. This paper reviews the impact of hypoglycemia on patients and healthcare practitioners in the clinical setting. Recognizing hypoglycemia and its risk factors and identifying high-risk patients can assist with prevention and management. Prevention rather than treatment of hypoglycemia is preferable by individualizing glycemic goals, considering hypoglycemia risk factors, and continuing professional support. Education of patients and healthcare practitioners is also a key factor in hypoglycemia prevention. Although several newer-generation therapies and treatment strategies for type 2 diabetes have a lower risk of hypoglycemia than established agents, long-term safety data are currently lacking. Thus, choice of therapy is important, with hypoglycemic risk varying according to drug selection.

Inhaled Formoterol Diminishes Insulin-Induced Hypoglycemia in Type 1 Diabetes

OBJECTIVE

Hypoglycemia is one of the major factors limiting implementation of tight glycemic control in patients with type 1 diabetes and is associated with increased morbidity and mortality during intensive insulin treatment. β-2 Adrenergic receptor (AR) agonists have been reported to diminish nocturnal hypoglycemia; however, whether long-acting inhaled β-2 AR agonists could potentially be used to treat or prevent hypoglycemia has not been established.

RESEARCH DESIGN AND METHODS

Seven patients with type 1 diabetes and seven healthy control subjects received inhaled formoterol (48 μg), a highly specific β-2 AR agonist, or a placebo during a hyperinsulinemic-hypoglycemic clamp study to evaluate its capacity to antagonize the effect of insulin. In a second set of studies, five subjects with type 1 diabetes received inhaled formoterol to assess its effect as a preventive therapy for insulin-induced hypoglycemia.

RESULTS

During a hyperinsulinemic-hypoglycemic clamp, compared with placebo, inhaled formoterol decreased the glucose infusion rate required to maintain plasma glucose at a target level by 45-50% (P < 0.05). There was no significant effect on glucagon, epinephrine, cortisol, or growth hormone release (P = NS). Furthermore, in volunteers with type 1 diabetes 1 h after increasing basal insulin delivery twofold, glucose levels dropped to 58 ± 5 mg/dL, whereas hypoglycemia was prevented by inhaled formoterol (P < 0.001).

CONCLUSIONS

Inhalation of the β-2 AR-specific agonist formoterol may be useful in the prevention or treatment of acute hypoglycemia and thus may help patients with type 1 diabetes achieve optimal glucose control more safely.

High glycemic index diet as a risk factor for depression: analyses from the Women's Health Initiative

BACKGROUND

The consumption of sweetened beverages, refined foods, and pastries has been shown to be associated with an increased risk of depression in longitudinal studies. However, any influence that refined carbohydrates has on mood could be commensurate with their proportion in the overall diet; studies are therefore needed that measure overall intakes of carbohydrate and sugar, glycemic index (GI), and glycemic load.

OBJECTIVE

We hypothesized that higher dietary GI and glycemic load would be associated with greater odds of the prevalence and incidence of depression.

DESIGN

This was a prospective cohort study to investigate the relations between dietary GI, glycemic load, and other carbohydrate measures (added sugars, total sugars, glucose, sucrose, lactose, fructose, starch, carbohydrate) and depression in postmenopausal women who participated in the Women's Health Initiative Observational Study at baseline between 1994 and 1998 (n = 87,618) and at the 3-y follow-up (n = 69,954).

RESULTS

We found a progressively higher dietary GI to be associated with increasing odds of incident depression in fully adjusted models (OR for the fifth compared with first quintile: 1.22; 95% CI: 1.09, 1.37), with the trend being statistically significant (P = 0.0032). Progressively higher consumption of dietary added sugars was also associated with increasing odds of incident depression (OR for the fifth compared with first quintile: 1.23; 95% CI: 1.07, 1.41; P-trend = 0.0029). Higher consumption of lactose, fiber, nonjuice fruit, and vegetables was significantly associated with lower odds of incident depression, and nonwhole/refined grain consumption was associated with increased odds of depression.

CONCLUSIONS

The results from this study suggest that high-GI diets could be a risk factor for depression in postmenopausal women. Randomized trials should be undertaken to examine the question of whether diets rich in low-GI foods could serve as treatments and primary preventive measures for depression in postmenopausal women.

Biomarkers related to severe hypoglycaemia and lack of good glycaemic control in ACCORD

AIMS/HYPOTHESIS

In patients with diabetes, intensive glycaemic control reduces microvascular complications. However, severe hypoglycaemia frequently complicates intensive glycaemic control. Blood biomarkers that predict successful intensification of glycaemic control in patients with type 2 diabetes without the development of severe hypoglycaemia would advance patient care. In patients who received intensive treatment for type 2 diabetes from the Action to Control Cardiovascular Risk in Diabetes (ACCORD) study, we hypothesised that insulin deficiency and islet autoantibodies would be associated with severe hypoglycaemia and failure to achieve near-normal glycaemia (HbA1c <6.0% [42 mmol/mol]).

METHODS

A nested case-control design was used. Cases (n = 326) were defined as participants having severe hypoglycaemia and failure to achieve an HbA1c level of <6.0% (42 mmol/mol) prior to the ACCORD transition or death. Controls (n = 1,075) were those who achieved an HbA1c level of <6.0% (42 mmol/mol) prior to the ACCORD transition or death without severe hypoglycaemia. Each case was matched (for race, age and BMI) by up to four controls. Baseline insulin deficiency (fasting C-peptide ≤0.15 nmol/l) and islet autoantibodies (glutamic acid decarboxylase [GAD], tyrosine phosphatase-related islet antigen 2 [IA2], insulin [IAA] and zinc transporter 8 [ZnT8]) were measured. Conditional logistic regression with and without adjustment for age, BMI and diabetes duration was used on the full cohort and after removal of patients who died and their respective controls.

RESULTS

Severe hypoglycaemia accompanied by an inability to achieve an HbA1c level of <6.0% (42 mmol/mol) was associated with insulin deficiency (adjusted OR 23.2 [95% CI 9.0, 59.5], p < 0.0001), the presence of IAA autoantibodies or baseline insulin use (adjusted OR 3.8 [95% CI 2.7, 5.3], p < 0.0001), GAD autoantibodies (OR 3.9 [95% CI 2.5, 6.0], p < 0.0001), IA2 autoantibodies (OR 16.7 [95% CI 3.9, 71.6], p = 0.0001) and ZnT8 autoantibodies (adjusted OR 3.9 [95% CI 1.2, 12.4], p = 0.02).

CONCLUSIONS

C-peptide and islet autoantibodies may serve as biomarkers to predict the risk of severe hypoglycaemia during intensification of type 2 diabetes treatment.

TRIAL REGISTRATION

ClinicalTrials.gov NCT00000620 (original ACCORD study).

Intensive individualized reinforcement education is important for the prevention of hypoglycemia in patients with type 2 diabetes

BACKGROUND

We investigated whether an intensive individualized reinforcement education program could influence the prevention of hypoglycemic events in patients with type 2 diabetes.

METHODS

From March 2013 to September 2013, patients aged 35 to 75 years with type 2 diabetes who had not previously participated in diabetes education, and treated with insulin or a sulfonylurea-containing regimen were included in the study. After structured group education, the patients assigned to the intensive individualized education group (IT) were requested to visit for reinforcement. All subjects in the IT were encouraged to self-manage dose adjustments. Participants in both groups (control group [CG, group education only; n=22] and IT [n=24]) attended follow-up visits at 2, 8, 12, and 24 weeks. At each visit, all patients were asked whether they had experienced hypoglycemia.

RESULTS

The total study population consisted of 20 men (43.5%; mean age and diabetic duration of 55.9±11.0 and 5.1±7.3 years, respectively). At 24 weeks, there were no significant differences in hemoglobin A1c values between the CG and IT. The total number of hypoglycemic events per patient was 5.26±6.5 in the CG and 2.58±2.3 times in the IT (P=0.004). Adherence to lifestyle modification including frequency of exercise, self-monitoring of blood glucose, or dietary habit was not significantly different between the groups. However, adherence to hypoglycemia management, especially the dose adjustment of medication, was significantly higher in the IT compared with the CG.

CONCLUSION

Compared with the structured group education, additional IT resulted in additional benefits in terms of avoidance of hypoglycemia and treating hypoglycemia in patients with type 2 diabetes.

Association between 7 years of intensive treatment of type 1 diabetes and long-term mortality

IMPORTANCE

Whether mortality in type 1 diabetes mellitus is affected following intensive glycemic therapy has not been established.

OBJECTIVE

To determine whether mortality differed between the original intensive and conventional treatment groups in the long-term follow-up of the Diabetes Control and Complications Trial (DCCT) cohort.

DESIGN, SETTING, AND PARTICIPANTS

After the DCCT (1983-1993) ended, participants were followed up in a multisite (27 US and Canadian academic clinical centers) observational study (Epidemiology of Diabetes Control and Complications [EDIC]) until December 31, 2012. Participants were 1441 healthy volunteers with diabetes mellitus who, at baseline, were 13 to 39 years of age with 1 to 15 years of diabetes duration and no or early microvascular complications, and without hypertension, preexisting cardiovascular disease, or other potentially life-threatening disease.

INTERVENTIONS AND EXPOSURES

During the clinical trial, participants were randomly assigned to receive intensive therapy (n = 711) aimed at achieving glycemia as close to the nondiabetic range as safely possible, or conventional therapy (n = 730) with the goal of avoiding symptomatic hypoglycemia and hyperglycemia. At the end of the DCCT, after a mean of 6.5 years, intensive therapy was taught and recommended to all participants and diabetes care was returned to personal physicians.

MAIN OUTCOMES AND MEASURES

Total and cause-specific mortality was assessed through annual contact with family and friends and through records over 27 years' mean follow-up.

RESULTS

Vital status was ascertained for 1429 (99.2%) participants. There were 107 deaths, 64 in the conventional and 43 in the intensive group. The absolute risk difference was -109 per 100,000 patient-years (95% CI, -218 to -1), with lower all-cause mortality risk in the intensive therapy group (hazard ratio [HR] = 0.67 [95% CI, 0.46-0.99]; P = .045). Primary causes of death were cardiovascular disease (24 deaths; 22.4%), cancer (21 deaths; 19.6%), acute diabetes complications (19 deaths; 17.8%), and accidents or suicide (18 deaths; 16.8%). Higher levels of glycated hemoglobin (HbA1c) were associated with all-cause mortality (HR = 1.56 [95% CI, 1.35-1.81 per 10% relative increase in HbA1c]; P < .001), as well as the development of albuminuria (HR = 2.20 [95% CI, 1.46-3.31]; P < .001).

CONCLUSIONS AND RELEVANCE

After a mean of 27 years' follow-up of patients with type 1 diabetes, 6.5 years of initial intensive diabetes therapy was associated with a modestly lower all-cause mortality rate when compared with conventional therapy.

TRIAL REGISTRATION

clinicaltrials.gov Identifiers: NCT00360815 and NCT00360893.

The patient perspective of diabetes care: a systematic review of stated preference research

BACKGROUND

The importance of understanding the perspective of patients towards their own care is increasingly recognized, both in clinical practice and in pharmaceutical drug development. Stated preference methods to assess the preference of patients towards different aspects of diabetes treatment have now been applied for over a decade.

OBJECTIVE

Our goal was to examine how stated preference methods are applied in diabetes care, and to evaluate the value of this information in developing the patient perspective in clinical and policy decisions.

METHODS

A systematic review was conducted in accordance with the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) statement. The information sources were MEDLINE, EMBASE, Biosis, Current Contents, Web of Science, CINAHL, PsycINFO, and EconLit.

RESULTS

Three contingent valuation studies and 11 discrete choice experiments were retrieved. The majority of studies were conducted from 2009 onwards, but some date back to 1998. The reasons provided for applying the stated preference methods were to help differentiate between products, or to enable inclusion of the patient's perspective in treatment decisions. The main aspects of treatment examined were related to glucose control, adverse events, and drug administration. The majority of patients preferred glucose control over avoiding minor hypoglycemic events. Patient willingness to pay was above $US100/month for glucose control, avoiding immediate health hazards such as nausea, and oral or inhaled drug administration. Preference towards drug administration was highly associated with previous experience with injectable diabetes medicine.

CONCLUSIONS

The ability of a drug to lower glucose levels plays a decisive role in the choice between alternative treatments. Future research should strive to develop questionnaire designs relevant for the decision context of the study. That is, if the aim is to foster shared decision making, in clinical practice or drug development, this should guide the study design. Furthermore, concise reporting of all study dimensions-from the qualitative prework to the analysis stage-is warranted.

Effect of 2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD) on hormones of energy balance in a TCDD-sensitive and a TCDD-resistant rat strain

One of the hallmarks of the acute toxicity of 2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD) is a drastically reduced feed intake by an unknown mechanism. To further elucidate this wasting syndrome, we followed the effects of a single large dose (100 μg/kg) of TCDD on the serum levels of several energy balance-influencing hormones, clinical chemistry variables, and hepatic aryl hydrocarbon receptor (AHR) expression in two rat strains that differ widely in their TCDD sensitivities, for up to 10 days. TCDD affected most of the analytes in sensitive Long-Evans rats, while there were few alterations in the resistant Han/Wistar strain. However, analyses of feed-restricted unexposed Long-Evans rats indicated several of the perturbations to be secondary to energy deficiency. Notable increases in ghrelin and glucagon occurred in TCDD-treated Long-Evans rats alone, which links these hormones to the wasting syndrome. The newly found energy balance regulators, insulin-like growth factor 1 and fibroblast growth factor 21 (FGF-21), appeared to function in concert in body weight loss-induced metabolic state, and FGF-21 was putatively linked to increased lipolysis induced by TCDD. Finally, we demonstrate a reverse set of changes in the AHR protein and mRNA response to TCDD and feed restriction, suggesting that AHR might function also as a physiological regulator, possibly involved in the maintenance of energy balance.