Hypoglycemia and risk of vascular events and mortality: a systematic review and meta-analysis

Malglycemia in the critical care setting. Part II: Relative and absolute hypoglycemia

INTRODUCTION

The relationship between critical care mortality and hypoglycemia, both relative (>30% below average preadmission glycemia) and absolute (blood glucose (BG) <70 mg/dL (<10 mmol/L)) requires further definition.

METHODS

We assessed the risk-adjusted relationship between hospital mortality with relative hypoglycemia using the Glycemic Ratio (GR), and with absolute hypoglycemia using BG in a retrospective cohort investigation (n = 4790).

RESULTS

Relative hypoglycemia excursions below GR 0.7 with a of 24-h non-exposure period between excursions in those with HbA1c ≥ 8% were independently associated with mortality (n = 373, OR 2.49, 95% CI 1.54-4.04, p = 0.0002) but not those with HbA1c < 8% (n = 4417, OR 0.98 95% CI 0.89-1.08, p = 0.70). Hours below GR 0.7 (1.0037, 0.9995-1.0080, 0.0846) or minimum GR (0.0896, 0.0030-2.6600, 0.1632) were not independently associated with outcome. Absolute hypoglycemia occurred across the HbA1c spectrum in a U-shaped pattern. There was no difference in mortality associated with exposure to BG < 70 mg/dL for HbA1c ≥ 6.5% vs <6.5% (29.7% vs 24.3%, p = 0.77). Hours below 70 mg/dL demonstrated strongest association with outcome, while minimum BG, and excursions below 70 mg/dL were also independently associated.

CONCLUSIONS

Relative hypoglycemia represented by excursions below GR 0.7 in those with HbA1c ≥ 8% occurred commonly and was independently associated with mortality. Absolute hypoglycemia had similar association with mortality regardless of HbA1c.

Drug-induced hypoglycemia: a disproportionality analysis of the FAERS database

BACKGROUND

Hypoglycemia is an adverse event (AE) that cannot be ignored in clinical practice. This study aimed to identify the most common and top drugs associated with the risk of hypoglycemia based on the United States Food and Drug Administration (FDA) Adverse Event Reporting System (FAERS) database.

RESEARCH DESIGN AND METHODS

We used OpenVigil 2.1 pharmacovigilance analytics platform to query FAERS database and data from 2004 to 2023 were retrieved. The Medical Dictionary for Regulatory Activities (MedDRA) was used to identify hypoglycemia cases, and DrugBank database was used to determine drug generic names.

RESULTS

A total of 11,155,106 AEs reports were identified, of which 28,443 (0.25%) were related to hypoglycemia. Metformin (6926 cases) was associated with most cases of hypoglycemia. According to the disproportionality analysis, the top five drugs with the highest ROR and PRR were penamecillin, nikethamide, sotagliflozin, norethandrolone, glimepiride/pioglitazone. Nineteen of the top 50 drugs did not have hypoglycemia indicated in the package insert.

CONCLUSIONS

By analyzing the FAERS database, we listed drugs with a strong hypoglycemic signal for which the label does not provide a reminder. Notably, the potential hypoglycemia risks are of great importance and should be closely monitored in medical practice.

Association of hypoglycaemia with the risks of arrhythmia and mortality in individuals with diabetes - a systematic review and meta-analysis

Background

Hypoglycaemia has been linked to an increased risk of cardiac arrhythmias by causing autonomic and metabolic alterations, which may be associated with detrimental outcomes in individuals with diabetes(IWD), such as cardiovascular diseases (CVDs) and mortality, especially in multimorbid or frail people. However, such relationships in this population have not been thoroughly investigated. For this reason, we conducted a systematic review and meta-analysis.

Methods

Relevant papers published on PubMed, Embase, Cochrane, Web of Knowledge, Scopus, and CINHAL complete from inception to December 22, 2022 were routinely searched without regard for language. All of the selected articles included odds ratio, hazard ratio, or relative risk statistics, as well as data for estimating the connection of hypoglycaemia with cardiac arrhythmia, CVD-induced death, or total death in IWD. Regardless of the heterogeneity assessed by the I2 statistic, pooled relative risks (RRs) and 95% confidence intervals (CI) were obtained using random-effects models.

Results

After deleting duplicates and closely evaluating all screened citations, we chose 60 studies with totally 5,960,224 participants for this analysis. Fourteen studies were included in the arrhythmia risk analysis, and 50 in the analysis of all-cause mortality. Hypoglycaemic patients had significantly higher risks of arrhythmia occurrence (RR 1.42, 95%CI 1.21-1.68), CVD-induced death (RR 1.59, 95% CI 1.24-2.04), and all-cause mortality (RR 1.68, 95% CI 1.49-1.90) compared to euglycaemic patients with significant heterogeneity.

Conclusion

Hypoglycaemic individuals are more susceptible to develop cardiac arrhythmias and die, but evidence of potential causal linkages beyond statistical associations must await proof by additional specifically well planned research that controls for all potential remaining confounding factors.

Glycaemic control in people with diabetes following acute myocardial infarction

Diabetes is a highly prevalent disease associated with considerable cardiovascular end organ damage and mortality. Despite significant changes to the management of acute myocardial infarction over the last two decades, people with diabetes remain at risk of complications and mortality following a myocardial infarct for a multitude of reasons, including increased coronary atherosclerosis, associated coronary microvascular dysfunction, and diabetic cardiomyopathy. Dysglycaemia causes significant endothelial dysfunction and upregulation of inflammation within the vasculature and epigenetic changes mean that these deleterious effects may persist despite subsequent efforts to tighten glycaemic control. Whilst clinical guidelines advocate for the avoidance of both hyper- and hypoglcyaemia in the peri-infarct period, the evidence base is lacking, and currently there is no consensus on the benefits of glycaemic control beyond this period. Glycaemic variability contributes to the glycaemic milieu and may have prognostic importance following myocardial infarct. The use of continuous glucose monitoring means that glucose trends and parameters can now be captured and interrogated, and its use, along with newer medicines, may provide novel opportunities for intervention after myocardial infarction in people with diabetes.

Multicenter Randomized Trial of Intermittently Scanned Continuous Glucose Monitoring Versus Self-Monitoring of Blood Glucose in Individuals With Type 2 Diabetes and Recent-Onset Acute Myocardial Infarction: Results of the LIBERATES Trial

OBJECTIVE

To analyze the impact of modern glucose-monitoring strategies on glycemic and patient-related outcomes in individuals with type 2 diabetes (T2D) and recent myocardial infarction (MI) and assess cost effectiveness.

RESEARCH DESIGN AND METHODS

LIBERATES was a multicenter two-arm randomized trial comparing self-monitoring of blood glucose (SMBG) with intermittently scanned continuous glucose monitoring (isCGM), also known as flash CGM, in individuals with T2D and recent MI, treated with insulin and/or a sulphonylurea before hospital admission. The primary outcome measure was time in range (TIR) (glucose 3.9-10 mmol/L/day) on days 76-90 post-randomization. Secondary and exploratory outcomes included time in hypoglycemia, hemoglobin A1c (HbA1c), clinical outcome, quality of life (QOL), and cost effectiveness.

RESULTS

Of 141 participants randomly assigned (median age 63 years; interquartile range 53, 70), 73% of whom were men, isCGM was associated with increased TIR by 17 min/day (95% credible interval -105 to +153 min/day), with 59% probability of benefit. Users of isCGM showed lower hypoglycemic exposure (<3.9 mmol/L) at days 76-90 (-80 min/day; 95% CI -118, -43), also evident at days 16-30 (-28 min/day; 95% CI -92, 2). Compared with baseline, HbA1c showed similar reductions of 7 mmol/mol at 3 months in both study arms. Combined glycemic emergencies and mortality occurred in four isCGM and seven SMBG study participants. QOL measures marginally favored isCGM, and the intervention proved to be cost effective.

CONCLUSIONS

Compared with SMBG, isCGM in T2D individuals with MI marginally increases TIR and significantly reduces hypoglycemic exposure while equally improving HbA1c, explaining its cost effectiveness. Studies are required to understand whether these glycemic differences translate into longer-term clinical benefit.

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.

Revisiting 'intensive' blood glucose control: A causal directed acyclic graph-guided systematic review of randomized controlled trials

AIM

To clarify the importance of HbA1c reduction and antidiabetic drug use in preventing major adverse cardiovascular events (MACE) for patients with type 2 diabetes (T2D).

MATERIALS AND METHODS

We conducted an updated systematic review of contemporary large randomized controlled trials assessing the relative efficacy and safety of antidiabetic drugs with less hypoglycaemia risk in adult T2D patients. Mixed-effects meta-regression was performed to examine the associations of HbA1c reduction with subsequent risk of macrovascular and microvascular events. We evaluated the potential mediating role of HbA1c reduction in the relationship between antidiabetic drugs and MACE.

RESULTS

Eighteen placebo-controlled trials comprising 155 610 participants were included. The effects of treatment differed among antidiabetic drug classes for most adverse outcomes with high heterogeneity (I2 : 63.7%-95.8%). Mean HbA1c reduction was lowest with dipeptidyl peptidase-4 inhibitors (0.30%), followed by sodium-glucose co-transporter-2 inhibitors (0.46%), and was highest with glucagon-like peptide-1 receptor agonists (0.58%) and thiazolidinediones (0.60%). Lower relative risks of MACE were significantly associated with larger reductions in achieved HbA1c (β -0.3182; 95% CI: -0.5366 to -0.0998; P = .0043), even after adjusting for drug classes. When considering HbA1c lowering as a mediator to be controlled, beneficial effects owing to specific antidiabetic treatment for MACE were not observed (χ2  = 1.4494; P = .6940). The proportion mediated by HbA1c reduction was 50.0%-63.5% for these antidiabetic agents.

CONCLUSIONS

The main benefits of antidiabetic agents might result from the reduction in blood sugar levels and are generally independent of drugs used. Risk reduction in MACE was proportional to the magnitude of HbA1c decrease conferred by antidiabetic agents with less hypoglycaemic hazard.

Physiological Mechanisms of Hypertension and Cardiovascular Disease in End-Stage Kidney Disease

PURPOSE OF REVIEW

In this article, we summarize recent advances in understanding hypertension and cardiovascular disease in patients with end-stage kidney disease.

RECENT FINDINGS

Factors such as anemia, valvular and vascular calcification, vasoconstrictors, uremic toxins, hypoglycemia, carbamylated proteins, oxidative stress, and inflammation have all been associated with the progression of cardiovascular disease in end-stage kidney disease but the causality of these mechanisms has not been proven. The high risk of cardiovascular mortality has not improved as in the general population despite many advancements in cardiovascular care over the last two decades. Mechanisms that increase hypertension risk in these patients are centered on the control of extracellular fluid volume; however, over-correction of volume with dialysis can increase risks of intradialytic hypotension and death in these patients. This review presents both recent and classic work that increases our understanding of hypertension and cardiovascular disease in end-stage kidney disease.

Gradient variability coefficient: a novel method for assessing glycemic variability and risk of hypoglycemia

OBJECTIVE

Despite the clinical importance of glycemic variability and hypoglycemia, thus far, there is no consensus on the optimum method for assessing glycemic variability and risk of hypoglycemia simultaneously.

RESEARCH DESIGN AND METHODS

A novel metric, the gradient variability coefficient (GVC), was proposed for characterizing glycemic variability and risk of hypoglycemia. A total of 208 daily records of CGM encompassing 104 patients with T1DM and 2380 daily records from 1190 patients with T2DM were obtained in our study. Simulated CGM waveforms were used to assess the ability of GVC and other metrics to capture the amplitude and frequency of glucose fluctuations. In addition, the association between GVC and the risk of hypoglycemia was evaluated by receiver operating characteristic (ROC) curve.

RESULTS

The results of simulated CGM waveforms indicated that, compared with the widely used metrics of glycemic variability including standard deviation of sensor glucose (SD), coefficient of variation (CV), and mean amplitude of glycemic excursion (MAGE), GVC could reflect both the amplitude and frequency of glucose oscillations. In addition, the area under the curve (AUC) of ROC was 0.827 in T1DM and 0.873 in T2DM, indicating good performance in predicting hypoglycemia.

CONCLUSIONS

The proposed GVC might be a clinically useful tool in characterizing glycemic variability and the assessment of hypoglycemia risk in patients with diabetes.

A higher non-severe hypoglycaemia rate is associated with an increased risk of subsequent severe hypoglycaemia and major adverse cardiovascular events in individuals with type 2 diabetes in the LEADER study

AIMS/HYPOTHESIS

Hypoglycaemia is a common side effect of insulin and some other antihyperglycaemic agents used to treat diabetes. Severe hypoglycaemia has been associated with adverse cardiovascular events in trials of intensive glycaemic control in type 2 diabetes. The relationship between non-severe hypoglycaemic episodes (NSHEs) and severe hypoglycaemia in type 2 diabetes has been documented. However, an association between more frequent NSHEs and cardiovascular events has not been verified. This post hoc analysis of the LEADER (Liraglutide Effect and Action in Diabetes: Evaluation of Cardiovascular Outcome Results) trial aimed to confirm whether there is an association between NSHEs and severe hypoglycaemic episodes in individuals with type 2 diabetes. In addition, the possible association between NSHEs and major adverse cardiac events (MACE), cardiovascular death and all-cause mortality was investigated.

METHODS

LEADER was a double-blind, multicentre, placebo-controlled trial that found that liraglutide significantly reduced the risk of MACE compared with the placebo. In this post hoc analysis, we explored, in all LEADER participants, whether the annual rate of NSHEs (defined as self-measured plasma glucose <3.1 mmol/l [56 mg/dl]) was associated with time to first severe hypoglycaemic episode (defined as an episode requiring the assistance of another person), time to first MACE, time to cardiovascular death and time to all-cause mortality. Participants with <2 NSHEs per year were used as reference for HR estimates. Cox regression with a time-varying covariate was used.

RESULTS

We demonstrate that there is an association between NSHEs (2-11 NSHEs per year and ≥12 NSHEs per year) and severe hypoglycaemic episodes (unadjusted HRs 1.98 [95% CI 1.43, 2.75] and 5.01 [95% CI 2.84, 8.84], respectively), which was consistent when baseline characteristics were accounted for. Additionally, while no association was found between participants with 2-11 NSHEs per year and adverse cardiovascular outcomes, higher rates of NSHEs (≥12 episodes per year) were associated with higher risk of MACE (HR 1.50 [95% CI 1.01, 2.23]), cardiovascular death (HR 2.08 [95% CI 1.17, 3.70]) and overall death (HR 1.80 [95% CI 1.11, 2.92]).

CONCLUSIONS/INTERPRETATION

The analysis of data from the LEADER trial demonstrated that higher rates of NSHEs were associated with both a higher risk of severe hypoglycaemia and adverse cardiovascular outcomes in individuals with type 2 diabetes. Therefore, irrespective of the cause of this association, it is important that individuals with high rates of hypoglycaemia are identified so that the potentially increased risk of cardiovascular events can be managed and steps can be taken to reduce NSHEs.

TRIAL REGISTRATION

ClinicalTrials.gov (NCT01179048).

The effects of a leaflet-based intervention, 'Hypos can strike twice', on recurrent hypoglycaemic attendances by ambulance services: A non-randomised stepped wedge study

AIMS

We aimed to investigate the effect of an intervention in which ambulance personnel provided advice supported by a booklet-'Hypos can strike twice'-issued following a hypoglycaemic event to prevent future ambulance attendances.

METHODS

We used a non-randomised stepped wedge-controlled design. The intervention was introduced at different times (steps) in different areas (clusters) of operation within East Midlands Ambulance Service NHS Trust (EMAS). During the first step (T0), no clusters were exposed to the intervention, and during the last step (T3), all clusters were exposed. Data were analysed using a general linear mixed model (GLMM) and an interrupted-time series analysis (ITSA).

RESULTS

The study included 4825 patients (mean age 65.42 years, SD 19.42; 2,166 females) experiencing hypoglycaemic events attended by EMAS. GLMM indicated a reduction in the number of unsuccessful attendances (i.e., attendance followed by a repeat attendance) in the final step of the intervention when compared to the first (odds ratio OR: 0.50, 95%CI: 0.33-0.76, p = 0.001). ITSA indicated a significant decrease in repeat ambulance attendances for hypoglycaemia-relative to the pre-intervention trend (p = 0.008). Furthermore, the hypoglycaemia care bundle was delivered in 66% of attendances during the intervention period, demonstrating a significant level of practice change (p < 0.001).

CONCLUSION

The 'Hypos can strike twice' intervention had a positive effect on reducing numbers of repeat attendances for hypoglycaemia and in achieving the care bundle. The study supports the use of information booklets by ambulance clinicians to prevent future attendances for recurrent hypoglycaemic events.

'Never again will I be carefree': a qualitative study of the impact of hypoglycemia on quality of life among adults with type 1 diabetes

INTRODUCTION

Achieving glycemic targets and optimizing quality of life (QoL) are important goals of type 1 diabetes care. Hypoglycemia is a common barrier to achieving targets and can be associated with significant distress. However, the impact of hypoglycemia on QoL is not fully understood. The aim of this study was to explore how adults with type 1 diabetes are impacted by hypoglycemia in areas of life that are important to their overall QoL.

RESEARCH DESIGN AND METHODS

Participants responded to a web-based qualitative survey involving a novel 'Wheel of Life' activity. Responses were analyzed using reflexive thematic analysis.

RESULTS

The final sample included 219 adults with type 1 diabetes from Denmark, Germany, the Netherlands, and the UK. They had a mean±SD age of 39±13 years and diabetes duration of 20±14 years. Participants identified eight areas of life important to their overall QoL, including relationships and social life, work and studies, leisure and physical activity, everyday life, sleep, sex life, physical health, and mental health. Participants reported emotional, behavioral, cognitive, and social impacts of hypoglycemia within domains. Across domains, participants described interruptions, limited participation in activities, exhaustion, fear of hypoglycemia, compensatory strategies to prevent hypoglycemia, and reduced spontaneity.

CONCLUSIONS

The findings emphasize the profound impact of hypoglycemia on QoL and diabetes self-care behaviors. Diabetes services should be aware of and address the burden of hypoglycemia to provide person-centered care. Clinicians could ask individuals how hypoglycemia affects important areas of their lives to better understand the personal impact and develop tailored management plans.

Effect of hypoglycaemia on measures of myocardial blood flow and myocardial injury in adults with and without type 1 diabetes: A prospective, randomised, open-label, blinded endpoint, cross-over study

AIMS

This study examined the effect of experimentally-induced hypoglycaemia on measures of myocardial blood flow and myocardial injury in adults with, and without, type 1 diabetes.

METHODS

In a prospective, randomised, open-label, blinded, endpoint cross-over study, 17 young adults with type 1 diabetes with no cardiovascular risk factors, and 10 healthy non-diabetic volunteers, underwent hyperinsulinaemic-euglycaemic (blood glucose 4.5-5.5 mmol/L) and hypoglycaemic (2.2-2.5 mmol/L) clamps. Myocardial blood flow was assessed using transthoracic echocardiography Doppler coronary flow reserve (CFR) and myocardial injury using plasma high-sensitivity cardiac troponin I (hs-cTnI) concentration.

RESULTS

During hypoglycaemia, coronary flow reserve trended non-significantly lower in those with type 1 diabetes than in the non-diabetic participants (3.54 ± 0.47 vs. 3.89 ± 0.89). A generalised linear mixed-model analysis examined diabetes status and euglycaemia or hypoglycaemia as factors affecting CFR. No statistically significant difference in CFR was observed for diabetes status (p = .23) or between euglycaemia and hypoglycaemia (p = .31). No changes in hs-cTnI occurred during hypoglycaemia or in the recovery period (p = .86).

CONCLUSIONS

A small change in CFR was not statistically significant in this study, implying hypoglycaemia may require more than coronary vasomotor dysfunction to cause harm. Further larger studies are required to investigate this putative problem.

The association between glycaemic control during hospitalization and risk of adverse events: A retrospective cohort study

Introduction

Hyperglycaemia is common during hospitalization; glycaemic targets in non‐critical care settings have not been well studied. We assessed associations between inpatient glycaemic control and adverse events.

Methods

We conducted a retrospective cohort study on non‐critically ill medical patients hospitalized in a tertiary care hospital between 2015 and 2018. Mean glycaemia during the first four days of hospitalization was categorized as 4.0–7.0 mmol/L, 7.1–10.0 mmol/L and >10.0 mmol/L. The primary outcome was a composite of adverse events including mortality, infections, acute kidney injury, thromboembolic and cardiovascular events. The secondary outcome was hypoglycaemia, defined as any glycaemia <4.0 mmol/L. Logistic regression was used to assess adverse events, and a Cox proportional hazards model was used to estimate hypoglycaemia risk.

Results

Our cohort included 1,368 patients, of whom 407 (29.8%) experienced an adverse event. We did not find associations between glycaemia of 4.0–7.0 mmol/L (adjusted odds ratio [OR]: 0.88, 95% confidence interval [CI]: 0.63–1.23) or glycaemia of >10.0 mmol/L (adjusted OR: 0.98, 95% CI: 0.75–1.28) and the occurrence of adverse events, compared to a glycaemia of 7.1–10.0 mmol/L. Glycaemia of >10.0 mmol/L was associated with an increased risk of hypoglycaemia (adjusted hazard ratio [HR]: 1.72, 95% CI: 1.21–2.45). Hypoglycaemia was associated with adverse events (adjusted OR 1.85, 95% CI 1.31–2.60).

Conclusions

Neither glycaemia of 4.0–7.0 mmol/L nor glycaemia of >10.0mmol/L during non‐critical care hospitalization was associated with increased adverse events. Glycaemia of >10.0 mmol/L was associated with increased hypoglycaemia, likely due to aggressive glucose lowering. These findings highlight the need for further studies to discern optimal inpatient glycaemic targets.

Hypoglycaemia and Cardiovascular Disease Risk in Patients with Diabetes

Hypoglycaemia represents an important side effect of insulin therapy and insulin secretagogues. It can occur in both type 1 and type 2 diabetes mellitus patients. Also, some associations between hypoglycaemia and cardiovascular (CV) risk have been reported. Several mechanisms may be involved, including the sympathoadrenal system, hypokalaemia, endothelial dysfunction, coagulation, platelets, inflammation, atherothrombosis and impaired autonomic cardiac reflexes. This narrative review discusses the associations of hypoglycaemia with CV diseases, including coronary heart disease (CHD), cardiac arrhythmias, stroke, carotid disease and peripheral artery disease (PAD), as well as with dementia. Severe hypoglycaemia has been related to CHD, CV and all-cause mortality. Furthermore, there is evidence supporting an association between hypoglycaemia and cardiac arrhythmias, potentially predisposing to sudden death. The data linking hypoglycaemia with stroke, carotid disease and PAD is limited. Several factors may affect the hypoglycaemia-CV relationships, such as the definition of hypoglycaemia, patient characteristics, co-morbidities (including chronic kidney disease) and antidiabetic drug therapy. However, the association between hypoglycaemia and dementia is bilateral. Both the disorders are more common in the elderly; thus, glycaemic goals should be carefully selected in older patients. Further research is needed to elucidate the impact of hypoglycaemia on CV disease.

A systematic review of quantitative bias analysis applied to epidemiological research

BACKGROUND

Quantitative bias analysis (QBA) measures study errors in terms of direction, magnitude and uncertainty. This systematic review aimed to describe how QBA has been applied in epidemiological research in 2006-19.

METHODS

We searched PubMed for English peer-reviewed studies applying QBA to real-data applications. We also included studies citing selected sources or which were identified in a previous QBA review in pharmacoepidemiology. For each study, we extracted the rationale, methodology, bias-adjusted results and interpretation and assessed factors associated with reproducibility.

RESULTS

Of the 238 studies, the majority were embedded within papers whose main inferences were drawn from conventional approaches as secondary (sensitivity) analyses to quantity-specific biases (52%) or to assess the extent of bias required to shift the point estimate to the null (25%); 10% were standalone papers. The most common approach was probabilistic (57%). Misclassification was modelled in 57%, uncontrolled confounder(s) in 40% and selection bias in 17%. Most did not consider multiple biases or correlations between errors. When specified, bias parameters came from the literature (48%) more often than internal validation studies (29%). The majority (60%) of analyses resulted in >10% change from the conventional point estimate; however, most investigators (63%) did not alter their original interpretation. Degree of reproducibility related to inclusion of code, formulas, sensitivity analyses and supplementary materials, as well as the QBA rationale.

CONCLUSIONS

QBA applications were rare though increased over time. Future investigators should reference good practices and include details to promote transparency and to serve as a reference for other researchers.

Association Between Intra-Hospital Uncontrolled Glycemia and Health Outcomes in Patients with Diabetes: A Systematic Review of Observational Studies

BACKGROUND

Many people are still getting affected by uncontrolled glycemic events during hospital admission, which encompasses hypoglycemia, hyperglycemia, and high glycemic variability.

INTRODUCTION

Primary studies have shown an association of glycemic dysregulation with increased length of hospital stay and mortality among overall patients, however, there is no systematic review of current evidence on the association between uncontrolled in-hospital glycemia in patients with diabetes and health outcomes. This study aimed to systematically review the current evidence on the association between uncontrolled in-hospital glycemia in patients with diabetes and health outcomes.

METHODS

The association between glycemic dysregulation and health outcomes for inpatients with diabetes was systematically reviewed. PubMed, Embase, and LILACS databases were searched. Two independent reviewers were involved in each of the following steps: screening titles, abstracts, and fulltexts; assessing the methodological quality; and extracting data from included reviews. Descriptive analysis method was used.

RESULTS

Seven cohort studies were included, and only two had a prospective design, consisting of 7,174 hospitalized patients with diabetes. In-hospital occurrence of hypoglycemia, hyperglycemia, and glycemic variability were assessed, and outcomes were mortality, infections, renal complications, and adverse events. Among the exposure and outcomes, an association was observed between severe hypoglycemia and mortality, hyperglycemia and infection, and hyperglycemia and adverse events.

CONCLUSION

In-hospital uncontrolled glycemia in patients with diabetes is associated with poor health outcomes. More studies should be conducted for proper investigation because diabetes is a complex condition. Effects of glycemic dysregulation should be investigated on the basis of overall health of a patient instead from only organ-target perspective, which makes the investigation difficult.

Hospitalization costs with degludec versus glargine U100 for patients with type 2 diabetes at high cardiovascular risk: Canadian costs applied to SAEs from a randomized outcomes trial

OBJECTIVES

The present cost-consequence analysis compared estimated hospitalization costs in a Canadian setting with insulin degludec (degludec) versus insulin glargine 100 units/mL (glargine U100) in patients with type 2 diabetes (T2D) at high cardiovascular (CV) risk.

METHODS

Medical terms were mapped across the different vocabularies, in order to assign unit costs from eligible hospital abstracts in Canadian Institute for Health Information data (International Statistical Classification of Diseases and Related Health Problems, 10^th Revision, Canada) to serious adverse events (SAEs; Medical Dictionary for Regulatory Activities) from the randomized DEVOTE trial comparing the two insulins degludec and glargine. Mean annual costs of SAE-related hospitalizations were estimated by treatment, the cost difference (degludec - glargine U100) was bootstrapped to compute confidence intervals (CIs) and p-values, and the cost ratio (degludec/glargine U100) was estimated using a Tweedie distribution.

RESULTS

The mean annual cost per patient for SAE-related hospitalizations was 4,074 CAD with degludec and 4,569 CAD with glargine U100 (cost difference: -495, 95% confidence interval [CI]: -966; -24, p = .039), for a cost ratio of 0.89 (95% CI: 0.81; 0.98, p = .016). Overall, cost ratios from sensitivity analyses varying individual methodological assumptions were consistent with the main analysis. Of the system organ classes from DEVOTE SAEs, cardiac disorders were the largest contributor to the costs savings with degludec versus glargine U100.

CONCLUSIONS

In patients with T2D at high CV risk, our findings suggest that there are likely to be lower hospitalization costs with degludec versus glargine U100 based on the SAEs observed in DEVOTE and in a Canadian setting.

Limited impact of impaired awareness of hypoglycaemia and severe hypoglycaemia on the inflammatory profile of people with type 1 diabetes

AIM

To investigate whether a history of severe hypoglycaemia (SH) or the associated presence of impaired awareness of hypoglycaemia (IAH) is characterized by a pro-inflammatory profile in people with type 1 diabetes.

RESEARCH DESIGN AND METHODS

We measured circulating inflammatory markers and pro- and anti-inflammatory cytokine production after ex vivo stimulation of peripheral blood mononuclear cells (PBMCs) in a well-characterized cohort of individuals with type 1 diabetes (n = 239) and in people without diabetes (n = 56). Data were corrected for confounders by using multivariate linear regression models.

RESULTS

People with type 1 diabetes had higher circulating concentrations of high-sensitivity C-reactive protein (hs-CRP; 0.91 [0.36-2.25] vs. 0.52 [0.20-0.98] pg/mL, P < 0.001 and interleukin-18-binding protein (IL-18BP; 1746 [1304-2112] vs. 1381 [1191-1807] pg/mL; P = 0.001) than those without diabetes. In multivariate analysis, only higher hs-CRP concentrations persisted. Neither circulating immune cells nor ex vivo cytokine levels produced by PBMCs in response to an extensive panel of stimuli differed in groups defined by awareness state or a history of SH, apart from elevated IL-18BP in people with, versus those without, history of SH (1524 [1227-1903] vs. 1913 [1459-2408] pg/mL; P < 0.001).

CONCLUSIONS

IAH or history of SH in people with type 1 diabetes was not associated with altered inflammatory profiles, arguing against chronically elevated inflammatory activity mediating the increased cardiovascular risk associated with hypoglycaemia. The finding of higher circulating concentrations of IL-18BP in individuals with a history of SH requires further investigation.

Single prognostic cut-off value for admission glycemia in acute myocardial infarction has been used although high-risk stems from hyperglycemia as well as from hypoglycemia (a narrative review)

All original articles and meta-analysis use the single cut-off value to distinguish high-risk hyperglycemic from other acute myocardial infarction (AMI) patients. The mortality rate is 3.9 times higher in non-diabetic AMI patients with admission glycemia ≥6.1mmol compared to normoglycemic non-diabetic AMI patients. On the other hand, admission hypoglycemia in AMI is an important predictor of mortality. Because both admission hypo- and hyperglycemia correspond to higher in-hospital mortality, this graph is recognized as "J or U shaped curve". The review suggests two cut-off values for admission glycemia for risk assessment in AMI instead of single one because hypoglycemia as well as hyperglycemia represents a high-risk factor.

Fasting blood glucose and risk of Stroke: A Dose-Response meta-analysis

BACKGROUND & PURPOSE

A growing number of studies have shown that fasting blood glucose is related to the risk of stroke, however, the dose-response association between fasting blood glucose and the risk of stroke is still unclear. Accordingly, we conducted a dose-response meta-analysis to evaluate the relationship between fasting blood glucose and the risk of stroke by summarizing cohort studies.

METHODS

PubMed and Embase databases were searched for related studies (until October 2020). Cohort studies examining the influence of fasting blood glucose on stroke risk were summarized. A dose-response relationship was determined using a random-effect model.

RESULTS

Eighteen cohort studies involving 2,555,666 participants were included. The pooled relative risk for the high-versus-low categories was 1.79 (95% CI: 1.68-1.91) in all people, and 1.16 (95% CI: 1.11-1.21) in non-diabetic people. In addition, there was a non-linear relationship between fasting blood glucose and stroke risk. The incidence of stroke was reduced to its lowest point when fasting blood glucose level was 70-100 mg/dL.

CONCLUSION

Fasting blood glucose was positively related to stroke risk, with a non-linear dose-response relationship.

Comparable efficacy with similarly low risk of hypoglycaemia in patient- vs physician-managed basal insulin initiation and titration in insulin-naïve type 2 diabetic subjects: The Italian Titration Approach Study

AIMS

People with uncontrolled type 2 diabetes (T2DM) often delay initiating and titrating basal insulin. Patient-managed titration may reduce such deferral. The Italian Titration Approach Study (ITAS) compared the efficacy and safety of insulin glargine 300 U/mL (Gla-300) initiation and titration using patient- (nurse-supported) or physician-management in insulin-naïve patients with uncontrolled T2DM.

MATERIALS AND METHODS

ITAS was a multicentre, phase IV, 24-week, open-label, randomized (1:1), parallel-group study. Insulin-naïve adults with T2DM for ≥1 year with poor metabolic control initiated Gla-300 after discontinuation of SU/glinides, and were randomized to self-titrate insulin dose (nurse-assisted) or have it done by the physician. The primary endpoint was change in HbA_1c . Secondary outcomes included hypoglycaemia incidence and rate, change in fasting self-monitored plasma glucose, patient-reported outcomes (PROs), and adverse events.

RESULTS

Three hundred and fifty five participants were included in the intention-to-treat population. At Week 24, HbA_1c reduction from baseline was non-inferior in patient- vs physician-managed arms [least squares mean (LSM) change (SE): -1.60% (0.06) vs -1.49% (0.06), respectively; LSM difference: -0.11% (95% CI: -0.26 to 0.04)]. The incidence and rates of hypoglycaemia were similarly low in both arms: relative risk of confirmed and/or severe nocturnal (00:00-05:59 hours) hypoglycaemia was 0.77 (95% CI: 0.27 to 2.18). No differences were observed for improvement in PROs. No safety concerns were reported.

CONCLUSIONS

In the T2DM insulin-naïve, SU/glinides discontinued population, patient-managed (nurse-assisted) titration of Gla-300 may be a suitable option as it provides improved glycaemic control with low risk of hypoglycaemia, similar to physician-managed titration.

2020 Consensus of Taiwan Society of Cardiology on the pharmacological management of patients with type 2 diabetes and cardiovascular diseases

The global incidence and prevalence of type 2 diabetes have been escalating in recent decades. The total diabetic population is expected to increase from 415 million in 2015 to 642 million by 2040. Patients with type 2 diabetes have an increased risk of atherosclerotic cardiovascular disease (ASCVD). About two-thirds of patients with type 2 diabetes died of ASCVD. The association between hyperglycemia and elevated cardiovascular (CV) risk has been demonstrated in multiple cohort studies. However, clinical trials of intensive glucose reduction by conventional antidiabetic agents did not significantly reduce macrovascular outcomes.In December 2008, U.S. Food and Drug Administration issued a mandate that every new antidiabetic agent requires rigorous assessments of its CV safety. Thereafter, more than 200,000 patients have been enrolled in a number of randomized controlled trials (RCTs). These trials were initially designed to prove noninferiority. It turned out that some of these trials demonstrated superiority of some new antidiabetic agents versus placebo in reducing CV endpoints, including macrovascular events, renal events, and heart failure. These results are important in clinical practice and also provide an opportunity for academic society to formulate treatment guidelines or consensus to provide specific recommendations for glucose control in various CV diseases.In 2018, the Taiwan Society of Cardiology (TSOC) and the Diabetes Association of Republic of China (DAROC) published the first joint consensus on the "Pharmacological Management of Patients with Type 2 Diabetes and Cardiovascular Diseases." In 2020, TSOC appointed a new consensus group to revise the previous version. The updated 2020 consensus was comprised of 5 major parts: (1) treatment of diabetes in patients with multiple risk factors, (2) treatment of diabetes in patients with coronary heart disease, (3) treatment of diabetes in patients with stage 3 chronic kidney disease, (4) treatment of diabetes in patients with a history of stroke, and (5) treatment of diabetes in patients with heart failure. The members of the consensus group thoroughly reviewed all the evidence, mainly RCTs, and also included meta-analyses and real-world evidence. The treatment targets of HbA1c were finalized. The antidiabetic agents were ranked according to their clinical evidence. The consensus is not mandatory. The final decision may need to be individualized and based on clinicians' discretion.

Current status of insulin degludec in type 1 and type 2 diabetes based on randomized and observational trials

Insulin degludec is a new ultra-long-action basal insulin. Using treat-to-target protocols, controlled trials have shown comparable HbA_1c reductions with insulin degludec and comparators in both type 1 and type 2 diabetes. Most studies identify, however, better control of fasting plasma glucose with insulin degludec vs. either insulin glargine U100 or detemir, and all have consistently demonstrated clinically relevant decreases in (nocturnal) hypoglycaemic episodes. These characteristics have provided added therapeutic value for insulin degludec in clinical practice. Thus, the aim of this review is to discuss, within the context of randomized and observational studies, the clinical effects of insulin degludec use in type 1 and type 2 diabetes.

Fasting insulin levels correlate with the frequency of hypoglycemic events in people with type 2 diabetes on treatment with sulfonylureas: A pilot study

AIMS AND OBJECTIVES:

We aimed to explore whether fasting insulin levels correlate with the risk of hypoglycemia in people with Type 2 diabetes (T2D) receiving sulfonylureas (SUs).

MATERIALS AND METHODS:

Our study included 58 individuals with T2D who had been on treatment with SUs, but not insulin, for more than 2 years. Confirmed hypoglycemic episodes during the past year were self-reported by the patients, and a potential relationship of hypoglycemic event frequency with fasting insulin levels was investigated.

RESULTS:

Fasting insulin concentrations were found to have a low positive and statistically significant correlation with the number of cases of mild hypoglycemia per year (ρ = 0.279/P = 0.034) and a moderately positive and statistically significant correlation with the number of severe hypoglycemic events per month (ρ = 0.349/P = 0.007) and per year (ρ = 0.39/P = 0.002).

CONCLUSION:

Our results suggest that fasting insulin levels might be a predictor of the risk of hypoglycemia in people with T2D on treatment with SUs.

Role of Composite Glycemic Indices: A Comparison of the Comprehensive Glucose Pentagon Across Diabetes Types and HbA1c Levels

Background: Complex changes of glycemia that occur in diabetes are not fully captured by any single measure. The Comprehensive Glucose Pentagon (CGP) measures multiple aspects of glycemia to generate the prognostic glycemic risk (PGR), which constitutes the relative risk of hypoglycemia combined with long-term complications. We compare the components of CGP and PGR across type 1 and type 2 diabetes. Methods: Participants: n = 60 type 1 and n = 100 type 2 who underwent continuous glucose monitoring (CGM). Mean glucose, coefficient of variation (%CV), intensity of hypoglycemia (INT_hypo), intensity of hyperglycemia (INT_hyper), time out-of-range (TOR <3.9 and >10 mmol/L), and PGR were calculated. PGR (median, interquartile ranges [IQR]) for diabetes types, and HbA1c classes were compared. Results: While HbA1c was lower in type 1 (type 1 vs. type 2: 8.0 ± 1.6 vs. 8.6 ± 1.7, P = 0.02), CGM-derived mean glucoses were similar across both groups (P > 0.05). TOR, %CV, INT_hypo, and INT_hyper were all higher in type 1 [type 1 vs. type 2: 665 (500, 863) vs. 535 (284, 823) min/day; 39% (33, 46) vs. 29% (24, 34); 905 (205, 2951) vs. 18 (0, 349) mg/dL × min²; 42,906 (23,482, 82,120) vs. 30,166 (10,276, 57,183) mg/dL × min², respectively, all P < 0.05]. Across each HbA1c class, the PGR remained consistently and significantly higher in type 1. While mean glucose remained the same across HbA1c classes, %CV, TOR, INT_hyper, and INT_hypo were significantly higher for type 1. Even within the same HbA1c class, the variation (IQR) of each parameter in type 1 was wider. The PGR increased across diabetes groups; type 2 on orals versus type 2 on insulin versus type 1 (PGR: 1.6 vs. 2.2 vs. 2.9, respectively, P < 0.05). Conclusion: Composite indices such as the CGP capture significant differences in glycemia independent of HbA1c and mean glucose. The use of such indices must be explored in both the clinical and research settings.

Association between Clinical and Laboratory Markers and 5-year Mortality among Patients with Stroke

Factors influencing long-term stroke mortality have not been comprehensively investigated. This study aimed to identify the baseline clinical, laboratory, demographic/socioeconomic, and hospital factors influencing 5-year mortality in patients with first stroke. Total 3,956 patients with first-stroke hospitalization from 2004 to 2008 were connected to the longitudinal National Health Insurance Research Database. Post-admission baseline data that significantly increased 5-year mortality were red cell distribution width (RDW) >0.145 (adjusted hazard ratio [aHR] = 1.71), hemoglobin <120 g/L (aHR = 1.25), blood sugar <3.89 mmol/L (70 mg/dL)(aHR = 2.57), serum creatinine >112.27 μmol/L (aHR = 1.76), serum sodium <134 mmol/L (aHR = 1.73), body mass index (BMI) < 18.5 kg/m² (aHR = 1.33), Glasgow Coma Scale <15 (aHR = 1.43), Stroke Severity Index ≥20 (aHR = 3.92), Charlson–Deyo Comorbidity Index ≥3 (aHR = 4.21), no rehabilitation (aHR = 1.86), and age ≥65 years (aHR = 2.25). Hemoglobin, RDW, blood sugar, serum creatinine and sodium, BMI, consciousness, stroke severity, comorbidity, rehabilitation, and age were associated with 5-year mortality in patients with first stroke.

Low fasting glucose and future risks of major adverse outcomes in people without baseline diabetes or cardiovascular disease: a systematic review and meta-analysis

OBJECTIVE

To investigate the link between low fasting blood glucose levels and all-cause mortality and cardiovascular outcomes among people without baseline diabetes or cardiovascular disease.

DESIGN

Systematic review and meta-analysis.

DATA SOURCES

PubMed and Embase (1966-February 2019).

SELECTION CRITERIA

Prospective cohort studies were included for meta-analysis if they reported adjusted HRs with 95% CIs for associations between risk of all-cause mortality, stroke, major cardiovascular events, coronary heart disease and low fasting glucose levels (<4.6 mmol/L and/or 4.0 mmol/L, respectively) versus normal fasting glucose levels.

DATA EXTRACTION AND STATISTICAL ANALYSIS

Two independent reviewers extracted data from eligible studies. Heterogeneity was assessed by p value of χ² tests and I². We assessed four characteristics for each included study based on items developed by the US Preventive Task Force, as well as the modified checklist used in previous studies.

RESULTS

Eleven articles (consisting of 129 prospective cohort studies) with 2 674 882 participants without diabetes and cardiovascular disease at baseline were included in this meta-analysis. Pooled results from the random effects model showed increased risks of all-cause mortality (HR: 1.56; 95% CI 1.09 to 2.23), total stroke (HR: 1.08, 95% CI 1.03 to 1.13) and ischaemic stroke (HR: 1.06, 95% CI 1.01 to 1.10), and major cardiovascular events (HR: 1.05, 95% CI 1.03 to 1.07) among people with a fasting glucose <4.0 mmol/L, as compared with people with normal fasting glucose. The less stringent low fasting glucose level, <4.6 mmol/L, was not associated with increased risk of any endpoints.

DISCUSSION AND CONCLUSIONS

Among people without baseline diabetes or cardiovascular disease, a fasting blood glucose level of <4.0 mmol/L is associated with increased risk of all-cause mortality, major cardiovascular events and stroke.

Hypoglycaemia, cardiovascular disease, and mortality in diabetes: epidemiology, pathogenesis, and management

Hypoglycaemia has long been recognised as a dangerous side-effect of treatment of diabetes with insulin or insulin secretagogues. With its potential to disrupt cerebral function, hypoglycaemia can have a major effect on peoples' lives. Study findings have suggested that hypoglycaemia is associated with an increased risk of cardiovascular events and mortality. Different mechanisms by which hypoglycaemia might provoke cardiovascular events have been identified in experimental studies, and in clinical studies cardiac arrhythmias have been reported to be induced by hypoglycaemia, with one report describing sudden death during a severe episode. Emerging evidence suggests that the association between hypoglycaemia and cardiovascular events and mortality is likely to be multifactorial. The association is probably partly caused by confounding, with hypoglycaemia occurring more frequently in people with comorbidities who are also more likely to die than those without. However, people with type 1 or type 2 diabetes also seem at risk of hypoglycaemia-induced cardiovascular effects. This risk should be recognised by clinicians when agreeing glycaemic goals with patients and choosing appropriate glucose-lowering therapies.

Fasting plasma glucose variability levels and risk of adverse outcomes among patients with type 2 diabetes: A systematic review and meta-analysis

AIM

This systematic review and meta-analysis assessed the association between fasting plasma glucose (FPG) variability levels and the risk of retinopathy and all-cause mortality in patients with type 2 diabetes.

METHODS

PubMed and EMBASE were searched to identify studies that evaluated the association between FPG variability and retinopathy and all-cause mortality in patients with type 2 diabetes mellitus. The hazard ratios (HRs) and 95% confidence intervals (CIs) were pooled with the random-effects model.

RESULTS

Eight studies were included in our meta-analysis. Five studies evaluated the impact of FPG variability on all-cause mortality and showed that high FPG variability was associated with the risk of all-cause mortality (HR 1.28, 95% CI 1.12-1.46; three studies). For median or mean FPG variability levels under 20%, the relationship between all-cause mortality and FPG variability was not significant. Three studies evaluated FPG variability and the risk of diabetic retinopathy and showed that high FPG variability was strongly associated with the risk of retinopathy (odds ratio (OR) = 3.68; 95% CI 1.01-13.4).

CONCLUSION

High FPG variability levels were positively associated with the risk of retinopathy and all-cause mortality in patients with type 2 diabetes.

Blood glucose reduction by diabetic drugs with minimal hypoglycaemia risk for cardiovascular outcomes: Evidence from meta-regression analysis of randomized controlled trials

AIMS

To investigate the effects of blood glucose control with antihyperglycaemic agents with minimal hypoglycaemia risk on cardiovascular outcomes in patients with type 2 diabetes (T2D).

MATERIALS AND METHODS

Randomized controlled trials (RCTs) comparing the relative efficacy and safety of antidiabetic drugs with less hypoglycaemia risk were comprehensively researched in MEDLINE, Embase and the Cochrane Library up to January 27, 2018. Mixed-effects meta-regression analysis was conducted to explore the relationship between haemoglobin A1c (HbA1c) reduction and the risk of major adverse cardiovascular events (MACE), myocardial infarction, stroke, cardiovascular death, all-cause death, and hospitalization for heart failure.

RESULTS

Ten RCTs comprising 92 400 participants with T2D were included and provided information on 9773 MACE during a median follow-up of 2.6 years. The mean HbA1c concentration was 0.42% lower (range, 0.27%-0.86%) for participants given antihyperglycaemic agents than those given placebo. The meta-regression analysis demonstrated that HbA1c reduction was significantly associated with a decreased risk of MACE (β value, -0.39 to -0.55; P < 0.02) even after adjusting for possible confounding factors including age, sex, baseline HbA1c, duration of follow-up, difference in achieved systolic blood pressure, difference in achieved body weight, and risk difference in hypoglycaemia. Lowering HbA1c by 1% conferred a significant risk reduction of 30% (95% confidence interval, 17%-40%) for MACE. By contrast, the meta-regression analysis for trials using conventional agents failed to demonstrate a significant relationship between achieved HbA1c difference and MACE risk (P > 0.74).

CONCLUSIONS

Compared with placebo, newer T2D agents with less hypoglycaemic hazard significantly reduced the risk of MACE. The MACE reduction appears to be associated with HbA1c reduction in a linear relationship.

Frequency of return visits to the emergency department in patients discharged following hypoglycemia episodes

BACKGROUND

In-hospital observation is typically recommended for patients who present to the emergency department with symptomatic hypoglycemia who are taking oral diabetes medications or long acting insulin. Individuals considered to be at low risk of further hypoglycemic episodes by treating providers are however on occasion discharged to home when a low suspicion of recurrence and close observation is available. We describe the frequency of hypoglycemia recurrence requiring further emergency department evaluation who have been recently discharged from the emergency department and are taking oral diabetes medications or long-acting insulin.

METHODS

A retrospective chart review was performed over a 2-year period of time at a large community-based academic emergency department for patients with an ICD-9 diagnosis of hypoglycemia who were taking oral or injectable diabetes medications. Patients were included with symptomatic blood sugar readings less than 55 mg/dL measured by prehospital or hospital providers. For those discharged from the emergency department, medical records from the study hospital and nearby health care facilities, Emergency Medical Service reports, and county death records were reviewed to determine recurrence of symptoms requiring care.

RESULTS

There were 196 patients discharged over the study period with 10 (5.1%) patients returning to the emergency department within 48 h with recurrent hypoglycemia. Return visits occurred in 4 of 144 taking insulin alone; 2.8% (CI 1.1-6.9%), in 3 of 19 patients taking oral agents alone; 15.8% (CI 5.5-37.5%), and in 3 of 33 patients taking both insulin and oral medications; 9.1% (CI 3.1-23.6%). Frequency of hypoglycemia recurrence requiring repeat ED visits was more common in those taking oral agents compared to individuals taking insulin alone (p = 0.04). All 7 individuals with recurrent hypoglycemia who were taking insulin were taking long-acting insulin preparations. No discharged patients were identified on Emergency Medical Service refusal of care reports or county death records.

CONCLUSION

Individuals discharged from the emergency department following hypoglycemic episodes who were taking oral diabetes medications are at a greater risk than individuals taking insulin alone of a return emergency department visit within 48 h for recurrent hypoglycemia.

Assessing the Impact of an Order Panel Utilizing Weight-Based Insulin and Standardized Monitoring of Blood Glucose for Patients With Hyperkalemia

Intravenous insulin with glucose is used in urgent treatment for hyperkalemia but has a significant risk of hypoglycemia. The authors developed an order panel within the electronic health record system that utilizes weight-based insulin dosing and standardized blood glucose monitoring to reduce hypoglycemia. As initial evaluation of this protocol, the authors retrospectively compared potassium and blood glucose lowering in patients treated with the weight-based (0.1 units/kg) insulin order panel (n = 195) with those given insulin based on provider judgment (n = 69). Serum potassium lowering did not differ between groups and there was no relationship between dose of insulin and amount of potassium lowering. There was a difference in hypoglycemia rates between groups ( P = .049), with fewer severe hypoglycemic events in the panel (2.56%) than in the non-panel group (10.14%). These data suggest weight-based insulin dosing is equally effective for lowering serum potassium and may lower risk of severe hypoglycemia.

Nonsevere Hypoglycemia Episode Clinical and Economic Outcomes: A Comparison between Sulfonylurea and Sodium-Glucose Cotransporter 2 Inhibitor as Add-On to Metformin from a Canadian Perspective

BACKGROUND

Nonsevere hypoglycemia episodes (NSHEs) are associated with clinically adverse outcomes, lower health-related quality of life, increased burden of disease, and reduced work productivity.

OBJECTIVE

To estimate prevalence of NSHEs and associated economic outcomes attributable to sulfonylurea (SU) versus sodium-glucose cotransporter 2 inhibitor (SGLT2i) initiation after metformin over one year for Canadian patients with type 2 diabetes (T2DM).

METHODS

Risk difference for NSHEs was calculated for SU and SGLT2i from RCT data. Estimation of NSHEs attributable to SU utilization in Canada was calculated from published data. Both direct and indirect costs associated with NSHEs were obtained from previous published studies in literature.

RESULTS

The number of patients with T2DM and exposure to SU in Canada in 2016 was estimated to be 1,246,438. The average underreported NSHEs in clinical settings were estimated at 67.7%. Risk difference for NSHEs for SU versus SGLT2i was estimated at 26.7%. Estimation of excess NSHEs attributable to SU utilization versus SGLT2i in Canada was estimated at 130,434 events per year (sensitivity analysis: minimum 80,680 and maximum 624,465). Total indirect costs including loss-of-work productivity and out-of-pocket costs secondary to excess NSHEs due to SU utilization versus SGLT2i after metformin were estimated at CDN$8.6M (M = millions) for 2016 (sensitivity analysis: minimum CDN$5.3M and maximum CDN$81.2M).

CONCLUSION

NSHE, which is a forgotten variable in economic evaluations for healthcare reimbursement models, occurs frequently in real-world clinical settings but is infrequently reported. NSHEs can lead to a significant loss-of-work productivity and out-of-pocket costs.

Glycated haemoglobin A1c as a risk factor of cardiovascular outcomes and all-cause mortality in diabetic and non-diabetic populations: a systematic review and meta-analysis

OBJECTIVE

To examine the relationship between glycated haemoglobin A1c (HbA1c) levels and the risk of cardiovascular outcomes and all-cause mortality based on data from observational studies and to determine the optimal levels of HbA1c for preventing cardiovascular events and/or mortality in diabetic and non-diabetic populations.

REVIEW METHODS

We systematically searched Medline, Embase, the Cochrane Central Register of Controlled Trials, the Cochrane Database of Systematic Reviews and Web of Science databases, from inception to July 2016, for observational studies addressing the association of HbA1c levels with mortality and cardiovascular outcomes. Random effects models were used to compute pooled estimates of HR and respective 95% CI for all-cause mortality, cardiovascular mortality and risk of cardiovascular events, separately for people with and without diabetes.

RESULTS

Seventy-four published studies were included in the systematic review, but only 46 studies could be incorporated in the meta-analysis. In both diabetic and non-diabetic populations, there was an increase in the risk of all-cause mortality when HbA1c levels were over 8.0% and 6.0%, respectively. The highest all-cause mortality in people with diabetes was HbA1c above 9.0% (HR=1.69; 95% CI 1.09 to 2.66) and in those without diabetes was HbA1c above 6.0% (HR=1.74; 95% CI 1.38 to 2.20). However, both diabetic and non-diabetic populations with lower HbA1c levels (below 6.0% HR=1.57; 95% CI 1.14 to 2.17 and below 5.0% HR=1.19; 95% CI 1.04 to 1.36, respectively) had higher all-cause mortality. Similar pooled estimates were found when cardiovascular mortality was the outcome variable.

CONCLUSION

HbA1c is a reliable risk factor of all-cause and cardiovascular mortality in both diabetics and non-diabetics. Our findings establish optimal HbA1c levels, for the lowest all-cause and cardiovascular mortality, ranging from 6.0% to 8.0% in people with diabetes and from 5.0% to 6.0% in those without diabetes.