Hypoglycemia from a cardiologist's perspective

Machine learning-based prediction of risk factors for abnormal glycemic control in diabetic cancer patients receiving nutrition support: a case-control study

PURPOSE

To date, risk factors affecting abnormal glycemic control have not been investigated. This study aimed to analyze risk factors for hypoglycemia or hyperglycemia in diabetic cancer patients receiving nutritional support by using machine learning methods.

METHODS

This retrospective two-center study was performed using medical records. Odds ratios and adjusted odds ratios were estimated from univariate and multivariate analyses, respectively. Machine learning algorithms, including five-fold cross-validated multivariate logistic regression, elastic net, and random forest, were developed to predict risk factors for hypoglycemia and hyperglycemia.

RESULTS

Data from 127 patients were analyzed. The use of sulfonylurea (SU) and blood urea nitrogen (BUN) level > 20 mg/dL increased hypoglycemia by 6.3-fold (95% CI 1.30-30.47) and 5.0-fold (95% CI 1.06-23.46), respectively. In contrast, patients who received an actual energy intake/total energy expenditure (TEE) ≥ 120% and used dipeptidyl peptidase-4 (DPP-4) inhibitors had a higher risk of hyperglycemia by 19.3- (95% CI 1.46-254.78) and 3.3-fold (95% CI 1.23-8.61), respectively. An initial blood glucose level ≥ 182.5 mg/dL also increased the risk of hyperglycemia by 15.3-fold. AUROC values for all machine learning methods indicated acceptable and excellent performance for hypoglycemia and hyperglycemia.

CONCLUSION

The use of SU and BUN level > 20 mg/dL increased the risk of hypoglycemia, whereas an initial blood glucose level ≥ 182.5 mg/dL, a supplied actual energy intake/ TEE ≥ 120%, and the use of DPP-4 inhibitors increased the risk of hyperglycemia.

Glucagon-like peptide 1(GLP-1) receptor agonists in the management of the patient with type 2diabetes mellitus and chronic kidney disease: an approach for the nephrologist

Diabetic kidney disease, a common complication in patients with type 2 diabetes mellitus, is associated with a markedly increased morbidity and mortality, especially of cardiovascular origin, and faster progression to end-stage renal disease. To date, reducing cardiovascular and renal risk in this population was based on strict control of cardiovascular risk factors and the renin-angiotensin system blockade. More recently, sodium-glucose cotransporter type 2 inhibitors have demonstrated to offer cardiovascular and renal protection, but the residual risk remains high and their antihyperglycemic efficacy is limited in moderate-severe CKD. Therefore, drugs with a potent antihyperglycemic effect, independent of the glomerular filtration rate, with a low risk of hypoglycemia, that reduce weight in overweight/obese patients and that provide cardiovascular and renal protection, such as GLP-1 receptor agonists, are needed. However, these drugs require subcutaneous administration, which may limit their early use. The recent availability of oral semaglutide may facilitate the early introduction of this family with proven cardiovascular and renal benefits and excellent safety profile. In this review the family is analyzed as well as their cardiovascular and renal effects.

The Role of Platelets in Hypoglycemia-Induced Cardiovascular Disease: A Review of the Literature

Cardiovascular diseases (CVDs) are the leading cause of death globally as well as the leading cause of mortality and morbidity in type 2 diabetes (T2D) patients. Results from large interventional studies have suggested hyperglycemia and poor glycemic control to be largely responsible for the development of CVDs. However, the association between hypoglycemia and cardiovascular events is also a key pathophysiological factor in the development of CVDs. Hypoglycemia is especially prevalent in T2D patients treated with oral sulfonylurea agents or exogenous insulin, increasing the susceptibility of this population to cardiovascular events. The adverse cardiovascular risk of hypoglycemia can persist even after the blood glucose levels have been normalized. Hypoglycemia may lead to vascular disease through mechanisms such as enhanced coagulation, oxidative stress, vascular inflammation, endothelial dysfunction, and platelet activation. In the following review, we summarize the evidence for the role of hypoglycemia in platelet activation and the subsequent effects this may have on the development of CVD. In addition, we review current evidence for the effectiveness of therapies in reducing the risk of CVDs.

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.

Sudden cardiac arrest in commercial airports: Incidence, responses, and implications

Billions of travelers pass through airports around the world every year. Airports are a relatively common location for sudden cardiac arrest when compared with other public venues. An increased incidence of cardiac arrest in airports may be due to the large volume of movement, the stress of travel, or adverse effects related to the physiological environment of airplanes. Having said that, airports are associated with extremely high rates of witnessed arrests, bystander interventions (eg. CPR and AED use), shockable arrest rhythms, and survival to hospital discharge. Large numbers of people, a high density of public-access AEDs, and on-site emergency medical services (EMS) resources are probably the major reasons why cardiac arrest outcomes are so favorable at airports. The success of the chain of survival found at airports may imply that applying similar practices to other public venues will translate to improvements in cardiac arrest survival. Airports might, therefore, be one model of cardiac arrest preparedness that other public areas should emulate.

Use of disease-modifying drugs in diabetic patients with heart failure with reduced ejection fraction

Type 2 diabetes mellitus and heart failure are closely related, patients with type 2 diabetes mellitus have a higher risk of developing heart failure, and those with heart failure are at increased risk of developing type 2 diabetes. Although no specific randomized clinical trials have been conducted to test the effect of cardiovascular therapies (drugs and/or devices) in diabetic patients with heart failure, a lot of evidence shows that all interventions effective in improving prognosis in patients with heart failure reduced ejection fraction are equally beneficial in patients with and without diabetes. However, the use of disease-modifying drugs in patients with diabetes and heart failure reduced ejection fraction is a clinical challenge due to the increased risk of adverse effects. For example, β-blockers are underutilized in diabetic patients due to the theoretical unfavorable effects on glucose metabolism as well as the use of drugs that interact with the renin-angiotensin system can be challenged in patients with diabetic nephropathy because of the risk of hyperkalemia. This review outlines the current use of disease-modifying drugs in diabetic patients with heart failure reduced ejection fraction. In addition, the role of novel pharmacologic agents as type 2 sodium-glucose co-transporter inhibitors (SGLT2ii) is discussed.

The Use of β-Blockers in Heart Failure with Reduced Ejection Fraction

Treatment with β-blockers is the main strategy for managing patients with heart failure and reduced ejection fraction because of their ability to reverse the neurohumoral effects of the sympathetic nervous system, with consequent prognostic and symptomatic benefits. However, to date, they are underused, mainly because of the misconception that hypotension and bradycardia may worsen the haemodynamic status of patients with HFrEF and because of the presence of comorbidities falsely believed to be absolute contraindications to their use. To promote proper use of β-blockers in this article, we review the clinical pharmacology of β-blockers, the evidence of the beneficial effects of these drugs in heart failure with reduced ejection fraction, and the current guidelines for their use in clinical practice and in the presence of comorbidities (e.g., pulmonary disease, diabetes, atrial fibrillation, peripheral arterial disease, etc.). It is hoped that the practical approach discussed in this review will allow for a proper diffusion of knowledge about the correct use of β-blockers and the drug-disease interactions to achieve their increased use and titration, as well as for the selection of a specific agent with a view to a properly tailored approach for HFrEF patients.

Beyond A1C-Standardization of Continuous Glucose Monitoring Reporting: Why It Is Needed and How It Continues to Evolve

Continuous glucose monitoring (CGM) systems are becoming part of standard care for type 1 diabetes, and their use is increasing for type 2 diabetes. Consensus has been reached on standardized metrics for reporting CGM data, with time in range of 70-180 mg/dL and time below 54 mg/dL recognized as the key metrics of focus for diabetes management. The ambulatory glucose profile report has emerged as the standard for visualization of CGM data and will continue to evolve to incorporate other elements such as insulin, food, and exercise data to support glycemic management.

Hypoglycemia in the emergency, is there any effect on endothelial and diastolic functions?

INTRODUCTION

Several homeostatic changes like an increase in sympathoadrenal response and oxidative stress occur in hypoglycemia. As a result of these findings, an increase in inflammation and preatherogenic factors is observed, and these changes may lead to endothelial dysfunction.

AIM

Our study aims to reveal possible cardiac risks (systolic-diastolic functions and endothelial dysfunctions) in patients who have applied to the emergency department with hypoglycemia.

METHODS

This cross-sectional, case-control study included 46 hypoglycemia patients who admitted to the emergency with symptoms compatible with hypoglycemia and diagnosed with hypoglycemia and 30 healthy volunteers. All patients were evaluated with baseline echocardiography, tissue-Doppler imaging (carotid and brachial artery). Also, the fasting blood tests of the patients referred to the internal medicine department were examined.

RESULTS

There were no differences between the groups regarding age, weight, body mass index, and systolic blood pressure. Total cholesterol, LDL, HDL, Vitamin B12, TSH, and fasting blood glucose levels were similar in the groups' blood tests (all P values > .05). We observed a statistically significant decrease in diastolic dysfunction parameters: E/A and E/e' ratios (respectively, P = .020 and 0.026). It was shown that insulin resistance was influential in forming these considerable differences. The patient group observed that the carotid intima-media thickness was more remarkable (P = .001), and the brachial flow-mediated dilatation value was smaller (P = .003), giving an idea about endothelial functions.

CONCLUSION

As a message, we can say that hypoglycemia may affect diastolic functions in addition to endothelial dysfunction. Therefore, even young individuals without any chronic diseases may need follow-up in terms of possible risks.

A new look at brittle diabetes

"Brittle diabetes" was first used to describe a life "disrupted by episodes of hypoglycemia or hyperglycemia." Early descriptions focused on small case reports of mostly young women with psycho-social instability, recurrent diabetic ketoacidosis, poor patient compliance or maladaptation. We redefine "brittle diabetes" as occurring in four specific life stages each with distinct characteristics and associated conditions resulting in severely erratic glycemic control and poor outcomes. Once identified however these factors can often be reversed or significantly mitigated. The first group includes younger patients with associated psychiatric diseases such as bulimia and depression which require specific therapy and are treatable. A second group includes individuals who have another underlying medical condition resulting in disruption of insulin sensitivity or glucose utilization which must be sought. A third group, the largest we believe, has "geriatric type 1 diabetes" and develops severe glycemic instability due to frailty, chronic renal failure, dementia, vision loss, loss of counterregulation and other diseases of aging which lead to unintentional omission of insulin, insulin dosing errors and increasing insulin sensitivity. The fourth group, now seen around the world, suffers lack of insulin access and associated food insecurity. All four of these groups are described.

Acute glycaemic management before, during and after exercise for cardiac rehabilitation participants with diabetes mellitus: a joint statement of the British and Canadian Associations of Cardiovascular Prevention and Rehabilitation, the International Council for Cardiovascular Prevention and Rehabilitation and the British Association of Sport and Exercise Sciences

Type 1 (T1) and type 2 (T2) diabetes mellitus (DM) are significant precursors and comorbidities to cardiovascular disease and prevalence of both types is still rising globally. Currently,~25% of participants (and rising) attending cardiac rehabilitation in Europe, North America and Australia have been reported to have DM (>90% have T2DM). While there is some debate over whether improving glycaemic control in those with heart disease can independently improve future cardiovascular health-related outcomes, for the individual patient whose blood glucose is well controlled, it can aid the exercise programme in being more efficacious. Good glycaemic management not only helps to mitigate the risk of acute glycaemic events during exercising, it also aids in achieving the requisite physiological and psycho-social aims of the exercise component of cardiac rehabilitation (CR). These benefits are strongly associated with effective behaviour change, including increased enjoyment, adherence and self-efficacy. It is known that CR participants with DM have lower uptake and adherence rates compared with those without DM. This expert statement provides CR practitioners with nine recommendations aimed to aid in the participant's improved blood glucose control before, during and after exercise so as to prevent the risk of glycaemic events that could mitigate their beneficial participation.

Review of the veteran affairs diabetes trial: Lessons learned

Despite robust evidence linking long-term hyperglycemia with cardiovascular complications, several large randomized trials found only modest benefits from intensive compared to standard glucose control. Of these trials, the Veteran Affairs Diabetes Trial (VADT), offers a unique long-term perspective in that there were analyses of outcomes at the end of the intervention trial, 5-years post-trial, and after 10-years post-trial. From the VADT and other large trials, we draw several valuable lessons that are relevant to the care of patients with type 2 diabetes. Intensive glucose control reduces development of nephropathy and retinopathy but not neuropathy, though evaluations of neuropathy are less consistent and conclusions regarding outcomes less reliable. While the VADT did not demonstrate reduction in cardiovascular outcomes at completion of the glucose lowering intervention, it did demonstrate a 17% reduction 5-years post-trial, which waned by 10-years post-trial observation. Of interest, the 5-year post trial period included 3 additional years of HbA1c separation between treatment groups which suggests that longer-term glucose control may be needed before benefits are seen. Other factors including hypoglycemia and increased glucose variation are also associated with cardiovascular events and are more prevalent during intensive glucose control, potentially lessening the benefit of lowering average glucose levels. Finally, intensive glucose control requires substantial effort from both the patient and clinician perspective. All of these factors must be kept in mind when considering the benefits of aggressive glucose control for each patient.

Glycemia and Atherosclerotic Cardiovascular Disease: Exploring the Gap Between Risk Marker and Risk Factor

There is consistent, unequivocal and reproducible epidemiological evidence derived from diverse populations that various indices of glycemia (fasting plasma glucose, post-prandial or post oral glucose challenge plasma glucose, HbA1c) are associated with an increased risk of atherosclerotic cardiovascular disease (ASCVD), even in the prediabetic state. Furthermore, there is abundant experimental evidence demonstrating that hyperglycemia per se accelerates and aggravates the atherosclerotic process, providing biological plausibility to the concept that hyperglycemia is causally related or a true risk factor for ASCVD. Two studies in particular, DCCT and UKPDS, that enrolled a younger cohort of patients with type 1 diabetes or an older cohort with newly diagnosed type 2 diabetes, respectively, showed trends toward a reduction in ASCVD. The reductions in ASCVD reached statistical significance only after prolonged follow up, and when differences in HbA1c were no longer maintained (referred to by some as a “legacy effect”). More recent studies in those with established type 2 diabetes, in which glycemic control was improved by a variety of strategies, failed to demonstrate reductions in ASCVD. The gap in evidence supporting hyperglycemia as a true causative risk factor for ASCVD or simply a risk marker for some other confounding causative factor is discussed in this review. We conclude that hyperglycemia does appear to be at least partially causative of ASCVD (i.e., an ASCVD risk factor). We discuss how this evidence can be incorporated into an overall therapeutic strategy to prevent ASCVD in those with prediabetes and established diabetes.

Impact of sitagliptin combination therapy and hypoglycemia in Japanese patients with type 2 diabetes: a multi-center retrospective observational cohort study

Background

Patients with diabetes are at higher risk of developing polypharmacy because of the high frequency of comorbidities. There have been several reports on the hypoglycemic risk of the combination of hypoglycemic agents and other medications. This study aimed to investigate the hypoglycemic risk of drug-drug interaction between sitagliptin and other oral hypoglycemic agents or antihypertensive agents in Japanese patients with type 2 diabetes.

Methods

From January 2010 to March 2012, a total of 3247 patients were recruited and evaluated at outpatient clinics at Juntendo University Hospital, other satellite hospitals, and private clinics. This study was a sub-analysis of the Sitagliptin Registration Type 2 Diabetes-Juntendo Collaborating Project. Participants were limited to those treated with oral hypoglycemic agents, excluding insulin users, to investigate the association of the first hypoglycemic events with oral hypoglycemic agents or other medications within 6 months after starting sitagliptin. The factors related to the first hypoglycemic event were analyzed using Cox regression analysis.

Results

In total, 2956 patients with a mean age of 65.1 ± 11.3 years were included. A total of 46 hypoglycemic events (1.6%) were observed. One patient had severe hypoglycemia followed by emergency transport to the hospital. Sitagliptin was not associated with hypoglycemia, but its combination with sulfonylurea (hazard ratio: 4.42, 95% confidential interval: 1.36–14.42) or β-blocker (hazard ratio, 3.50, 95% confidential interval: 1.54–7.96) was significantly associated with hypoglycemia.

Conclusions

The drug-drug interactions between sitagliptin and sulfonylurea or β-blocker likely increases the hypoglycemic risk in Japanese patients with type 2 diabetes. Pharmacists should consider potential adverse events from drug-drug interaction in type 2 diabetes with polypharmacy, particularly those who are managed by several doctors or clinics.

Hypoglycemic cardiac arrest and rapid return-of-spontaneous circulation (ROSC) with dextrose

Hypoglycemia was part of the "H's and T's" in the 2005 American Heart Association ACLS guidelines for reversible causes of cardiac arrest but was removed in subsequent editions. We present a case of return of spontaneous circulation in a patient with cardiac arrest after administration of dextrose for hypoglycemia. Routine administration of dextrose to patients in cardiac arrest has been shown to be associated with increased mortality and worse neurological outcomes. However, this case reminds the clinician to consider hypoglycemia in patients with cardiac arrest, and to attempt correcting a low blood glucose if noted.

Day-to-day fasting self-monitored blood glucose variability is associated with risk of hypoglycaemia in insulin-treated patients with type 1 and type 2 diabetes: A post hoc analysis of the SWITCH Trials

AIMS

To investigate the association between day-to-day fasting self-monitored blood glucose (SMBG) variability and risk of hypoglycaemia in type 1 (T1D) and type 2 diabetes (T2D), and to compare day-to-day fasting SMBG variability between treatments with insulin degludec (degludec) and insulin glargine 100 units/mL (glargine U100).

MATERIALS AND METHODS

Data were retrieved from two double-blind, randomized, treat-to-target, two-period (32 weeks each) crossover trials of degludec vs glargine U100 in T1D (SWITCH 1, n = 501) and T2D (SWITCH 2, n = 720). Available fasting SMBGs were used to determine the standard deviation (SD) of day-to-day fasting SMBG variability for each patient and the treatment combination. The association between day-to-day fasting SMBG variability and overall symptomatic, nocturnal symptomatic and severe hypoglycaemia was analysed for the pooled population using linear regression, with fasting SMBG variability included as a three-level factor defined by population tertiles. Finally, day-to-day fasting SMBG variability was compared between treatments.

RESULTS

Linear regression showed that day-to-day fasting SMBG variability was significantly associated with overall symptomatic, nocturnal symptomatic and severe hypoglycaemia risk in T1D and T2D (P < 0.05). Day-to-day fasting SMBG variability was significantly associated (P < 0.01) with all categories of hypoglycaemia risk, with the exception of severe hypoglycaemia in T2D when analysed within tertiles. Degludec was associated with 4% lower day-to-day fasting SMBG variability than glargine U100 in T1D (P = 0.0082) and with 10% lower day-to-day fasting SMBG variability in T2D (P < 0.0001).

CONCLUSIONS

Higher day-to-day fasting SMBG variability is associated with an increased risk of overall symptomatic, nocturnal symptomatic and severe hypoglycaemia. Degludec has significantly lower day-to-day fasting SMBG variability vs glargine U100.

The Association of Biochemical Hypoglycemia with the Subsequent Risk of a Severe Hypoglycemic Event: Analysis of the DCCT Data Set

OBJECTIVE

To evaluate the association of biochemical hypoglycemia with subsequent severe hypoglycemia (SH) events using the Diabetes Control and Complications Trial (DCCT) data set.

RESEARCH DESIGN AND METHODS

The frequency of biochemical hypoglycemia (percentage of values <70 and <54 mg/dL [3.9 and 3.0 mmol/L) was assessed using DCCT blood glucose concentrations measured at a central laboratory from seven finger-stick samples (7-point testing: pre- and 90-min postmeals and at bedtime) collected during 1 day every 3 months. SH events required a change in mental status necessitating the involvement of another individual to provide treatment. A Poisson model accounting for repeated measures from each participant was used to assess the association of biochemical hypoglycemia frequency, computed from the 7-point finger-stick data, with the development of SH events.

RESULTS

The risk of SH during a 3-month period was substantially higher (P < 0.001) when there was at least one hypoglycemic blood glucose value in the preceding 7-point profile, with similar results seen for both the 70 mg/dL (rate ratio = 3.0 [95% confidence interval: 2.6-3.3]) and 54 mg/dL (rate ratio = 2.7 [95% confidence interval: 2.4-3.1]) thresholds.

CONCLUSIONS

The occurrence of biochemical hypoglycemia <70 or <54 mg/dL is associated with an increased risk of SH. For this reason as well as the deleterious effects of hypoglycemia on glucose counter-regulation and hypoglycemia awareness, cognition, quality of life, and arrhythmias, it is important in diabetes management to avoid hypoglycemic glucose levels as much as possible.

Glucagon secretion determined by the RIA method is lower in patients with low left ventricular ejection fraction: The new glass study

AIMS

We investigated the glucagon levels in patients with heart failure (HF), using long oral glucose tolerance test (OGTT).

METHODS

In this prospective observational study, we enrolled 30 undiagnosed diabetes patients (age 69 ± 10 years, 70% males, HbA1c 43 mmol/mol). A 4-h OGTT was performed. Glucose, insulin, and glucagon (radioimmunoassay [RIA] and sandwich ELISA [S-W] methods) were evaluated during 4-h. We compared glucagon levels between HF and non-HF patients.

RESULTS

There were 11 HF and 19 non-HF patients. In patients with HF, glucagon (S-W) during 4-h was lower than in patients without HF, with no significant difference. The area under the curve (AUC) of glucagon (RIA) during 4-h was significantly lower among HF patients. Moreover, in patients with reduced left ventricular ejection fraction (LVEF) (<40%), AUC glucagon (RIA) was significantly lower than in patients with non-reduced EF (≥40%). However, there was no difference in glucagon values between the high E/e' (≥13.0) and low E/e' (<13.0) groups.

CONCLUSIONS

Although glucagon (S-W) showed no significant difference in patients with and without HF, especially reduced LVEF, glucagon (RIA) secretion was significantly lower in HF patients than in patients without HF. It is suggested that low glucagon secretion might be correlated with low EF.

Pathophysiology and aetiology of hypoglycaemic crises

Hypoglycaemia is a common, life-threatening complication that occurs as a component of a wide variety of disease processes. Despite its frequent occurrence, information concerning the aetiology, characteristics and outcomes of hypoglycaemic crises in veterinary medicine is limited. This review summarises the current understanding of the pathophysiology of hypoglycaemia, the body's counter-regulatory response, underlying aetiologies, diagnosis and treatment. Disease mechanisms are discussed and published evidence in veterinary literature regarding prognostic indicators, prevalence, diagnosis and treatment is examined for hypoglycaemia-related disease processes including insulinoma, glucose-lowering toxins and medications.

Have we really demonstrated the cardiovascular safety of anti-hyperglycaemic drugs? Rethinking the concepts of macrovascular and microvascular disease in type 2 diabetes

A primary goal of the treatment of type 2 mellitus is the prevention of morbidity and mortality associated with cardiovascular disease; however, anti-hyperglycaemic drugs have the capacity to cause deleterious effects on the circulation, a risk that is not adequately reflected by the endpoints selected for emphasis in large-scale clinical trials that are designed to evaluate cardiovascular safety. The primary endpoint of the large-scale studies mandated by regulatory authorities focuses only on 3 to 4 events that depict only a limited view of the circulatory system. One of the most serious adverse effects of many glucose-lowering drugs is new-onset or worsening heart failure. Most antidiabetic drugs can aggravate heart failure because they exert anti-natriuretic actions, and possibly, adverse effects on the myocardium. In addition, certain anti-hyperglycaemic agents may worsen peripheral vascular disease and trigger cardiac arrhythmias that may lead to sudden death. Initiation of treatment with antidiabetic medications may also cause deterioration of the function of the kidneys, retina and peripheral nerves, which are typically regarded as reflecting microvascular disease. The current confusion about the cardiovascular effects of glucose-lowering drugs may be exacerbated by conceptual uncertainties about the classification of large and small vessel disease in determining the clinical course of diabetes. Physicians should not be falsely reassured by claims that a new treatment appears to have passed a narrowly defined regulatory test. The management of people with diabetes often carries with it the risk of important cardiovascular consequences, even for drugs that do not overtly increase the risk of myocardial infarction or stroke.

Type 2 Diabetes Screening Test by Means of a Pulse Oximeter

In this paper, we propose a method for screening for the presence of type 2 diabetes by means of the signal obtained from a pulse oximeter. The screening system consists of two parts: the first analyzes the signal obtained from the pulse oximeter, and the second consists of a machine-learning module. The system consists of a front end that extracts a set of features form the pulse oximeter signal. These features are based on physiological considerations. The set of features were the input of a machine-learning algorithm that determined the class of the input sample, i.e., whether the subject had diabetes or not. The machine-learning algorithms were random forests, gradient boosting, and linear discriminant analysis as benchmark. The system was tested on a database of [Formula: see text] subjects (two samples per subject) collected from five community health centers. The mean receiver operating characteristic area found was [Formula: see text]% (median value [Formula: see text]% and range [Formula: see text]%), with a specificity =  [Formula: see text]% for a threshold that gave a sensitivity = [Formula: see text]%. We present a screening method for detecting diabetes that has a performance comparable to the glycated haemoglobin (haemoglobin A1c HbA1c) test, does not require blood extraction, and yields results in less than 5 min.

Hypoglycemia in Older Adults with Type 1 Diabetes

BACKGROUND

Hypoglycemia is a major concern in older adults with type 1 diabetes (T1D) and there is limited knowledge in this population. We examined data from 199 adults, ≥60 years of age, who participated in a T1D Exchange study assessing factors associated with severe hypoglycemia (SH) in older adults with T1D: 100 with SH in the prior year and 99 with no SH in prior 3 years (mean age 68; mean diabetes duration 40 years; 47% female; 92% non-Hispanic white). Hypoglycemia was assessed with up to 14 days of blinded continuous glucose monitoring (CGM). Linear regression models were performed to assess the association between biochemical hypoglycemia [defined as percentage of time below specific cutoffs (<70/60/50 mg/dL)] and various factors.

RESULTS

Overall, participants had CGM values <70 mg/dL for a median of 91 min per day. On 53% of days, glucose levels continuously were <70 mg/dL for ≥20 min. Hypoglycemia was found to be strongly associated with glucose variability (r = 0.76; P < 0.001). Time spent in hypoglycemia was greater in those who were younger (P = 0.004), had shorter diabetes duration (P = 0.008), lower HbA1c (P < 0.001), and undetectable C-peptide (P = 0.001), but did not differ by insulin method, education level, number of blood glucose checks per day, cognition, activities of daily living, or fear of hypoglycemia.

INNOVATION

This study adds valuable data on the frequency of hypoglycemia in older adults with T1D.

CONCLUSION

Future studies need to focus on how to prevent hypoglycemia in this vulnerable population of older adults with long-standing T1D.

Outcomes and healthcare resource utilization associated with medically attended hypoglycemia in older patients with type 2 diabetes initiating basal insulin in a US managed care setting

OBJECTIVE

To assess health outcomes and the economic burden of hypoglycemia in older patients with type 2 diabetes initiating basal insulin (BI).

RESEARCH DESIGN AND METHODS

Medicare Advantage claims data were extracted for patients with type 2 diabetes initiating BI and patients were stratified into two groups: those with medically attended hypoglycemia during the first year of BI treatment (HG group) and those without (non-HG group). Main outcome measures were hospitalization, mortality, healthcare utilization and costs 1 year before and 1 year after BI initiation.

RESULTS

Of 31,035 patients included (mean age 72 years [SD 9.2]), 3066 (9.9%; HG group) experienced hypoglycemia during 1 year post-BI initiation. After adjustment for demographic, comorbidity and medication history, hypoglycemia was associated with risk of hospitalization (HR 1.59; 95% CI: 1.53-1.65) and death (HR 1.50; 95% CI: 1.40-1.60). Healthcare utilization was higher pre-index and showed greater increases post-BI initiation in the HG vs. the non-HG group. Per-patient healthcare costs were substantially higher for the HG group than the non-HG group, both pre-index ($54,057 vs. $30,249, respectively) and post-BI initiation ($75,398 vs. $27,753, respectively).

CONCLUSIONS

Based on available claims data, hypoglycemia during the first year of BI treatment is associated with risk of hospitalization or death in older people, increasing healthcare utilization and costs. Due to the observational nature of this study, causality cannot be attributed, and further prospective studies into the effect of hypoglycemia on health outcomes in this population are warranted.

β1-Adrenergic receptor deficiency in ghrelin-expressing cells causes hypoglycemia in susceptible individuals

Ghrelin is an orexigenic gastric peptide hormone secreted when caloric intake is limited. Ghrelin also regulates blood glucose, as emphasized by the hypoglycemia that is induced by caloric restriction in mouse models of deficient ghrelin signaling. Here, we hypothesized that activation of β1-adrenergic receptors (β1ARs) localized to ghrelin cells is required for caloric restriction-associated ghrelin release and the ensuing protective glucoregulatory response. In mice lacking the β1AR specifically in ghrelin-expressing cells, ghrelin secretion was markedly blunted, resulting in profound hypoglycemia and prevalent mortality upon severe caloric restriction. Replacement of ghrelin blocked the effects of caloric restriction in β1AR-deficient mice. We also determined that treating calorically restricted juvenile WT mice with beta blockers led to reduced plasma ghrelin and hypoglycemia, the latter of which is similar to the life-threatening, fasting-induced hypoglycemia observed in infants treated with beta blockers. These findings highlight the critical functions of ghrelin in preventing hypoglycemia and promoting survival during severe caloric restriction and the requirement for ghrelin cell-expressed β1ARs in these processes. Moreover, these results indicate a potential role for ghrelin in mediating beta blocker-associated hypoglycemia in susceptible individuals, such as young children.

Hypoglycaemia when adding sulphonylurea to metformin: a systematic review and network meta-analysis

AIMS

The risk of hypoglycaemia may differ among sulphonylureas (SUs), but evidence from head-to-head comparisons is sparse. Performing a network meta-analysis to use indirect evidence from randomized controlled trials (RCTs), we compared the relative risk of hypoglycaemia with newer generation SUs when added to metformin.

METHODS

A systematic review identified RCTs lasting 12-52 weeks and evaluating SUs added to inadequate metformin monotherapy (≥1000 mg/day) in type 2 diabetes. Adding RCTs investigating the active comparators from the identified SU trials, we established a coherent network. Hypoglycaemia of any severity was the primary end point.

RESULTS

Thirteen trials of SUs and 14 of oral non-SU antihyperglycaemic agents (16 260 patients) were included. All reported hypoglycaemia only as adverse events. Producing comparable reductions in HbA_1C of -0.66 to -0.84% (-7 to -9 mmol/mol), the risk of hypoglycaemia was lowest with gliclazide compared to glipizide (OR 0.22, CrI: 0.05 to 0.96), glimepiride (OR 0.40, CrI: 0.13 to 1.27), and glibenclamide (OR 0.21, CrI: 0.03 to 1.48). A major limitation is varying definitions of hypoglycaemia across studies.

CONCLUSIONS

When added to metformin, gliclazide was associated with the lowest risk of hypoglycaemia between the newer generation SUs. Clinicians should consider the risk of hypoglycaemia agent-specific when selecting an SU agent.

Diabetes for Cardiologists: Practical Issues in Diagnosis and Management

Diabetes mellitus (DM), a chronic metabolic disease characterized by hyperglycemia, is a profound cardiovascular (CV) risk factor. It compounds the effects of all other risk factors, leads to premature micro- and macrovascular disease, facilitates development of heart failure, worsens the clinical course of all CV diseases, and shortens life expectancy. Established DM, unrecognized DM, and dysglycemia that may progress to DM are all commonly present at the time of presentation of overt CV disease. Thus, CV specialists and trainees frequently treat patients with dysglycemia. The traditional and proven role of cardiologists in reducing the risk of macrovascular events in this population is through aggressive lipid and blood pressure treatment. However, a more proactive role in the detection and management of DM is likely to become increasingly important as the prevalence continues to increase and therapies continue to improve. The latter include antihyperglycemic therapies with proven cardiovascular safety profiles and CV event reduction properties not yet fully elucidated and not necessarily related to glycemic control. Accordingly, the purpose of this article is to (1) expand the interest of cardiologists in earlier stages of the natural history of DM, when prevention or early detection might help achieve greatest benefit; (2) highlight principles of optimal glycemic management, with an emphasis on add-on choices showing promising reduction of CV events and lacking CV adverse effects; and (3) encourage cardiologists to become proactive partners in the multidisciplinary care needed to ensure optimal lifelong vascular health in patients with, or who are at risk of, DM.

Design Considerations for Artificial Pancreas Pivotal Studies

The development of artificial pancreas systems has evolved to the point that pivotal studies designed to assess efficacy and safety are in progress or soon to be initiated. These pivotal studies are intended to provide the necessary data to gain clearance from the U.S. Food and Drug Administration, coverage by payers, and adoption by patients and clinicians. Although there will not be one design that is appropriate for every system, there are certain aspects of protocol design that will be considerations in all pivotal studies designed to assess efficacy and safety. One key aspect of study design is the intervention to be used by the control group. A case can be made that the control group should use the currently available best technology, which is sensor-augmented pump therapy. However, an equally, if not more, compelling case can be made that the control intervention should be usual care. In this Perspective, we elaborate on this issue and provide a pragmatic approach to the design of clinical trials of artificial pancreas systems.

Metabolic memory and all-cause death in community-based patients with type 2 diabetes: the Fremantle Diabetes Study

AIMS

To validate the findings, in a usual care setting, of glycaemic intervention trials, which have shown that tight control in patients with recently diagnosed type 2 diabetes protects against death during post-study monitoring, but that it may be deleterious in long-duration diabetes with vascular complications.

METHODS

A subset of 531 patients with type 2 diabetes from the community-based observational Fremantle Diabetes Study Phase 1, who attended ≥5 annual reviews (mean follow-up 15.9 years), were categorized by baseline diabetes duration [<1 year (Group 1); 1 to <5 years (Group 2); and ≥5 years (Group 3)]. Glycated haemoglobin (HbA1c) trajectories over the first 5 years were determined [low, medium and high; equivalent to mean HbA1c ≤6.6% (<49 mmol/mol), 6.7-8.0% (50-64 mmol/mol) and ≥8.0% (>64 mmol/mol), respectively]. Kaplan-Meier analysis was used to assess survival by duration and HbA1c trajectory. Cox proportional hazards modelling identified predictors of all-cause death.

RESULTS

There was greater mortality in patients with a medium versus those with a low trajectory in Group 1: hazard ratio (HR) 1.99 [95% confidence interval (CI) 1.003-3.94; p = 0.049], and in patients with a high versus a low trajectory in Group 2: HR 2.02 (95% CI 1.11-3.71; p = 0.022). In Group 3, both medium [HR 0.57 (95% CI 0.35-0.92; p = 0.022)] and high [HR 0.56 (95% CI 0.32-0.96); p = 0.035] trajectories were independently and inversely associated with death.

CONCLUSIONS

In community-based patients with newly or recently diagnosed type 2 diabetes, poor glycaemic control was an adverse prognostic indicator. Tight control was independently associated with death in patients with diabetes duration ≥5 years. These data parallel intervention trial findings and support individualization of HbA1c targets.

Association of silent hypoglycemia with cardiac events in non-diabetic subjects with acute myocardial infarction undergoing primary percutaneous coronary interventions

Background

Some studies have shown that hypoglycemic episodes in diabetic patients might be associated with increased cardiovascular events. It is not clear whether episodes of silent hypoglycemia had greater prognostic value on cardiac events compared with normoglycemia or hyperglycemia in non-diabetic patients, so the aim of this study was to investigate the association of silent hypoglycemia and cardiac events in non-diabetic patients with acute ST-segment elevation myocardial infarction (STEMI) who underwent primary percutaneous coronary intervention (p-PCI).

Methods

We enrolled non-diabetic patients with STEMI who underwent p-PCI and whose clinical and laboratory data were collected. Interstitial glucose values were recorded using a continuous glucose monitoring system (CGMS), and Holter monitoring was recorded for 3 days in parallel. Cardiac ischemia and ventricular arrhythmia was evaluated.

Results

Based on the inclusion and exclusion criteria, we enrolled 164 STEMI patients undergoing p-PCI for final analysis. A total of 280 episodes of silent hypoglycemia (CGMS glucose <70 mg/dl) were recorded. Episodes of silent cardiac ischemia were recorded in 50 of 280 hypoglycemic episodes. The incidence of silent cardiac ischemia during hypoglycemia was significantly higher than the incidence during both hyperglycemia and normoglycemia(P < 0.01). Moreover, we found a significantly higher frequency of ventricular extrasystoles (VESs) or nonsustained ventricular tachycardias (NSVTs) in patients with silent hypoglycemia. The average number of events of silent cardiac ischemia was also significantly increased in the silent hypoglycemia group (0.91 ± 0.82 vs. 0.35 ± 0.54, P < 0.01) compared with either hyperglycemia or normoglycemia group.

Conclusions

Hypoglycemia was frequent and most of the time asymptomatic in non-diabetic patients with STEMI undergoing p-PCI. Silent hypoglycemia was associated with silent cardiac ischemia. STEMI patients with silent hypoglycemia had a significantly higher frequency of VESs or NSVTs.

Management of diabetes in the elderly

Management of diabetes in the elderly necessitates careful consideration of concomitant geriatric syndromes and comorbid conditions that increase the risk of complications, including severe hypoglycemia. Whereas healthy older adults can use therapeutic approaches recommended for their younger counterparts, treatment plans for frail elderly patients need to be simplified and A1c and blood pressure goals relaxed with the development of impairments in function, cognition, vision, and dexterity. The goals of diabetes management in the elderly should be to maintain quality of life and minimize symptomatic hyperglycemia and drug side effects, including hypoglycemia.

Potential glycemic overtreatment in patients ≥75 years with type 2 diabetes mellitus and renal disease: experience from the observational OREDIA study

BACKGROUND

Few data exist examining the management of elderly patients with type 2 diabetes mellitus and renal impairment (RI). This observational study assessed the therapeutic management of this fragile population.

METHODS

Cross-sectional study: data from 980 diabetic patients ≥75 years with renal disease are presented.

RESULTS

Patients had a mean age of 81 years (range 75-101) with long-standing diabetes (15.4 years) often complicated (half with macrovascular disease). Mean estimated glomerular filtration rate was 43 mL/min/1.73 m(2) and 20% had severe RI. Mean hemoglobin A1c was 7.4%. Anti-diabetic therapy was oral based for 51% of patients (60% ≥2 oral anti-diabetic drugs [OAD]) and insulin based for 49% (combined with OAD in 59%). OAD included metformin (47%), sulfonylureas (26%), glinides (19%), and DPP-4 inhibitors (31%). Treatments were adjusted to increasing RI, with less use of metformin, sulfonylureas, and DPP-4 inhibitors, and more glinides and insulin in severe RI. In all, 579 (60%) of these elderly patients with comorbidities had hemoglobin A1c <7.5% (mean 6.7%) while being intensively treated: 69% under insulin-secretagogues and/or insulin, putting them at high risk for severe hypoglycemia. Only one-fourth were under oral monotherapy.

CONCLUSION

In clinical practice, a substantial proportion of elderly patients may be overtreated. RI is insufficiently taken into account when prescribing OAD.