The relationship between glycaemic control and heart failure in 83,021 patients with type 2 diabetes

The association of glycaemic risk factors and diabetes duration with risk of heart failure in people with type 2 diabetes: A systematic review and meta-analysis

AIMS

To conduct a systematic review in order to better understand the association of glycaemic risk factors and diabetes duration with risk of heart failure (HF) in individuals with type 2 diabetes (T2D).

METHODS

We identified longitudinal studies investigating the association of glycaemic factors (glycated haemoglobin [HbA1c], HbA1c variability, and hypoglycaemia) and diabetes duration with HF in individuals with T2D. Hazard ratios and odds ratios were extracted and meta-analysed using a random-effects model where appropriate. Risk of bias assessment was carried out using a modified Newcastle-Ottawa Scale. Egger's test along with the trim-and-fill method were used to assess and account for publication bias.

RESULTS

Forty studies representing 4 102 589 people met the inclusion criteria. The risk of developing HF significantly increased by 15% for each percentage point increase in HbA1c, by 2% for each additional year of diabetes duration, and by 43% for having a history of severe hypoglycaemia. Additionally, variability in HbA1c levels was associated with a 20%-26% increased risk of HF for each unit increase in the metrics of variability (HbA1c standard deviation, coefficient of variation, and average successive variability). All included studies scored high in the risk of bias assessment. Egger's test suggested publication bias, with trim-and-fill analyses revealing a significant 14% increased risk of HF per percentage point increase in HbA1c.

CONCLUSIONS

Glycaemic risk factors and diabetes duration significantly contribute to the heightened risk of HF among individuals with T2D. A reduction in risk of HF is anticipated with better management of glycaemic risk factors.

The WATCH-DM risk score estimates clinical outcomes in type 2 diabetic patients with heart failure with preserved ejection fraction

The coexistence of heart failure is frequent and associated with higher mortality in patients with type 2 diabetes (T2DM), and its management is a critical issue. The WATCH-DM risk score is a tool to predict heart failure in patients with type 2 diabetes mellitus (T2DM). We investigated whether it could estimate outcomes in T2DM patients with heart failure with preserved ejection fraction (HFpEF). The WATCH-DM risk score was calculated in 418 patients with T2DM hospitalized for HFpEF (male 49.5%, age 80 ± 9 years, HbA1c 6.8 ± 1.0%), and they were divided into the "average or lower" (≤ 10 points), "high" (11-13 points) and "very high" (≥ 14 points) risk groups. We followed patients to observe all-cause death for 386 days (median). We compared the area under the curve (AUC) of the WATCH-DM score for predicting 1-year mortality with that of the Meta-Analysis Global Group in Chronic Heart Failure (MAGGIC) score and of the Barcelona Bio-Heart Failure Risk (BCN Bio-HF). Among the study patients, 108 patients (25.8%) had average or lower risk scores, 147 patients (35.2%) had high risk scores, and 163 patients (39.0%) had very high risk scores. The Cox proportional hazard model selected the WATCH-DM score as an independent predictor of all-cause death (HR per unit 1.10, 95% CI 1.03 to 1.19), and the "average or lower" risk group had lower mortality than the other groups (p = 0.047 by log-rank test). The AUC of the WATCH-DM for 1-year mortality was 0.64 (95% CI 0.45 to 0.74), which was not different from that of the MAGGIC score (0.72, 95% CI 0.63 to 0.80, p = 0.08) or that of BCN Bio-HF (0.70, 0.61 to 0.80, p = 0.25). The WATCH-DM risk score can estimate prognosis in T2DM patients with HFpEF and can identify patients at higher risk of mortality.

Risk Factors for and Risk of Peripheral Artery Disease in Swedish Individuals With Type 2 Diabetes: A Nationwide Register-Based Study

OBJECTIVE

To investigate to what extent having control of peripheral artery disease (PAD) risk factors is associated with the risk of incident PAD in individuals with type 2 diabetes.

RESEARCH DESIGN AND METHODS

A total of 148,096 individuals with type 2 diabetes in the Swedish National Diabetes Register between 2005 and 2009 were included and matched with 320,066 control subjects on the basis of age, sex, and county. A few control subjects who developed type 2 diabetes after recruitment, during wash-in (<0.2%), were not censored but instead matched with two new control subjects. Individuals with type 2 diabetes were evaluated according to the number of PAD risk factors beyond recommended guideline levels at baseline, including LDL cholesterol, blood pressure, smoking, glycated hemoglobin, and estimated glomerular filtration rate. Incident PAD events were ascertained from 2006 to 2019.

RESULTS

A graded association was observed between the number of PAD risk factors not at target and incident PAD in individuals with type 2 diabetes. The adjusted hazard ratio for PAD was 1.41 (95% CI 1.23-1.63) for those with type 2 diabetes with all PAD risk factors within target compared with control subjects matched for sex, age, and county but not risk factor status, in contrast with 9.28 (95% CI 3.62-23.79) for those with all five PAD risk factors not at target.

CONCLUSIONS

A graded association was observed between increasing number of PAD risk factors not at target and incident PAD in individuals with type 2 diabetes.

Biomarkers for the Diagnosis of Heart Failure in People with Diabetes: A Consensus Report from Diabetes Technology Society

Diabetes Technology Society assembled a panel of clinician experts in diabetology, cardiology, clinical chemistry, nephrology, and primary care to review the current evidence on biomarker screening of people with diabetes (PWD) for heart failure (HF), who are, by definition, at risk for HF (Stage A HF). This consensus report reviews features of HF in PWD from the perspectives of 1) epidemiology, 2) classification of stages, 3) pathophysiology, 4) biomarkers for diagnosing, 5) biomarker assays, 6) diagnostic accuracy of biomarkers, 7) benefits of biomarker screening, 8) consensus recommendations for biomarker screening, 9) stratification of Stage B HF, 10) echocardiographic screening, 11) management of Stage A and Stage B HF, and 12) future directions. The Diabetes Technology Society panel recommends 1) biomarker screening with one of two circulating natriuretic peptides (B-type natriuretic peptide or N-terminal prohormone of B-type natriuretic peptide), 2) beginning screening five years following diagnosis of type 1 diabetes (T1D) and at the diagnosis of type 2 diabetes (T2D), 3) beginning routine screening no earlier than at age 30 years for T1D (irrespective of age of diagnosis) and at any age for T2D, 4) screening annually, and 5) testing any time of day. The panel also recommends that an abnormal biomarker test defines asymptomatic preclinical HF (Stage B HF). This diagnosis requires follow-up using transthoracic echocardiography for classification into one of four subcategories of Stage B HF, corresponding to risk of progression to symptomatic clinical HF (Stage C HF). These recommendations will allow identification and management of Stage A and Stage B HF in PWD to prevent progression to Stage C HF or advanced HF (Stage D HF).

Incidence and risks of coronary heart disease and heart failure in Japanese patients with type 2 diabetes mellitus: the Fukuoka Diabetes Registry

AIMS

We prospectively investigated the incidence of coronary heart disease (CHD) and heart failure (HF), risk factors and prognosis in Japanese patients with type 2 diabetes.

METHODS

A total of 4,874 outpatients with type 2 diabetes (mean age 65 years, male 57%, previous CHD 14%) were registered at multicenter diabetes clinics of a prefecture in 2008-2010 and followed for the development of CHD and HF requiring hospitalization for a median of 5.3 years (follow-up rate 98%). Risk factors were evaluated using multivariable adjusted Cox proportional models.

RESULTS

The incidence rates per 1,000 person-years were 12.3 for CHD (silent myocardial ischemia 5.8, angina pectoris 4.3, myocardial infarction 2.1) and 3.1 for hospitalized HF, respectively. New-onset CHD was significantly associated with higher serum adiponectin [the highest quartile vs. the lowest quartile HR 1.6 (95%CI 1.0-2.6)]. HF was significantly associated with higher serum adiponectin [the highest quartile vs. the lowest quartile HR 2.4 (95%CI 1.1-5.2)], and lower serum creatinine/cystatin C ratio, a surrogate marker for sarcopenia [lowest quartile vs. the highest quartile HR 4.6 (95%CI 1.9-11.1)].

CONCLUSIONS

The incidence of heart disease was low and circulating adiponectin and sarcopenia may predict the development of heart disease in Japanese patients with type 2 diabetes.

Diabetes and cardiovascular risk according to sex: An overview of epidemiological data from the early Framingham reports to the cardiovascular outcomes trials

Male sex is a major cardiovascular risk factor in the general population, with men showing higher age-adjusted prevalence of cardiovascular disease than women. Diabetes, another major cardiovascular risk factor, affects cardiovascular risk differentially between men and women. Data from prospective observational studies showed that women with diabetes had greater relative risk of cardiovascular events than men with diabetes, leading to a smaller difference between diabetic men and women than between non-diabetic men and women in terms of cardiovascular disease. This excess relative risk concerns cardiovascular death, coronary heart disease, stroke and heart failure. It is greatest in the youngest age group and decreases gradually with age. Although many mechanisms have been proposed to explain the greater cardiovascular burden in women with diabetes, little is known about the impact of diverse anti-hyperglycemic drugs on cardiovascular events according to sex. Hence, cardiovascular outcomes trials provide a unique opportunity to study the impact of novel anti-hyperglycemic drugs on cardiovascular outcomes in men and women with type-2 diabetes. Here, we present an overview of the epidemiological data concerning sex-related differences in cardiovascular disease in people with diabetes, with a focus on the effects of novel anti-hyperglycemic drugs on cardiovascular outcomes in men and women. In addition, we summarize proposed mechanisms to explain these differences, with relevant references for the interested reader.

The significance of chronic kidney disease, heart failure and cardiovascular disease for mortality in type 1 diabetes: nationwide observational study

People with type 1 diabetes have a substantially increased risk of premature death. This nationwide, register-based cohort study evaluated the significance of risk factors and previous cardiovascular disease (CVD), heart failure and chronic kidney disease (CKD), for mortality in type 1 diabetes. Nationwide, longitudinal, register-based cohort study. Patients (n = 36,303) listed in the Swedish National Diabetes Register between January 1 2015 and December 31 2017 were included and followed until December 31, 2018. Data were retrieved from national health registries through each patient's unique identifier, to capture data on clinical characteristics, outcomes, or deaths, to describe mortality rates in risk groups. The mean follow-up time was 3.3 years, with 119,800 patient years of observation and 1127 deaths, corresponding to a crude overall mortality of 0.92% deaths/year. Statistically significant increased risk in multivariate analyzes was found in older age groups, in men, and in underweight or people with normal BMI, high HbA1c or blood pressure. A history of CVD, albuminuria and advanced stages of CKD was associated with an increased risk of mortality. Each combination of these conditions further increased the risk of mortality. These results emphasize the importance of risk factors and cardiovascular and renal diabetes complications. People with a combination of CKD, CVD, and heart failure, exhibit a markedly increased risk of dying prematurely. These findings provide strong arguments for optimized and individualized treatment of these groups of people with type 1 diabetes in clinical everyday life.

Heart Failure: An Underappreciated Complication of Diabetes. A Consensus Report of the American Diabetes Association

Heart failure (HF) has been recognized as a common complication of diabetes, with a prevalence of up to 22% in individuals with diabetes and increasing incidence rates. Data also suggest that HF may develop in individuals with diabetes even in the absence of hypertension, coronary heart disease, or valvular heart disease and, as such, represents a major cardiovascular complication in this vulnerable population; HF may also be the first presentation of cardiovascular disease in many individuals with diabetes. Given that during the past decade, the prevalence of diabetes (particularly type 2 diabetes) has risen by 30% globally (with prevalence expected to increase further), the burden of HF on the health care system will continue to rise. The scope of this American Diabetes Association consensus report with designated representation from the American College of Cardiology is to provide clear guidance to practitioners on the best approaches for screening and diagnosing HF in individuals with diabetes or prediabetes, with the goal to ensure access to optimal, evidence-based management for all and to mitigate the risks of serious complications, leveraging prior policy statements by the American College of Cardiology and American Heart Association.

Effects of sacubitril/valsartan on glycemia in patients with diabetes and heart failure: the PARAGON-HF and PARADIGM-HF trials

BACKGROUND

Compared with enalapril, sacubitril/valsartan lowered HbA1c and reduced new insulin therapy in patients with heart failure with reduced ejection fraction (HFrEF) and diabetes in the PARADIGM-HF trial. We sought to assess the glycemic effects of sacubitril/valsartan in heart failure with preserved ejection fraction (HFpEF) and diabetes, and across the spectrum of left ventricular ejection fraction (LVEF) in heart failure and diabetes.

METHODS

We compared the effect of sacubitril/valsartan, relative to valsartan, on HbA1c, new insulin therapy and hypoglycemia in the randomized controlled trial PARAGON-HF, and performed pooled analyses of PARAGON-HF and PARADIGM-HF.

RESULTS

Among 2395 patients with HFpEF and diabetes in PARAGON-HF, sacubitril/valsartan compared with valsartan reduced HbA1c (baseline-adjusted between-group difference in HbA1c change at 48 weeks: - 0.24%, 95% CI - 0.33 to - 0.16%, P < 0.001). Numerically, new insulin treatment was initiated less often in the sacubitril/valsartan group than in the valsartan group, but the difference was not statistically significant (12.8% vs. 16.1%; HR: 0.80, 95% CI 0.62-1.02, P = 0.07). Hypoglycemia adverse event reports were low, but more frequent in those receiving sacubitril/valsartan than in the valsartan group (4.2% vs. 2.6%; HR: 1.64, 95% CI 1.05-2.56, P = 0.030). In a pooled analysis of PARAGON-HF and PARADIGM-HF, the effect of sacubitril/valsartan on change in HbA1c was not significantly modified by LVEF (Pinteraction = 0.56). Across the spectrum of LVEF, sacubitril/valsartan reduced new insulin therapy (HR: 0.75, 95% CI 0.63-0.89, P = 0.001), compared with enalapril or valsartan.

CONCLUSIONS

Sacubitril/valsartan reduced HbA1c and new insulin therapy in patients with heart failure and diabetes across the spectrum of LVEF but may be associated with a slightly higher risk for hypoglycemia. Trial registration ClinicalTrials.gov NCT01920711.

Association between glycemic control and cardiovascular events in older Japanese adults with diabetes mellitus: An analysis of the Japanese medical administrative database

AIMS/INTRODUCTION

The relationship between glycated hemoglobin (HbA1c) and cardiovascular events in older adults was investigated using a Japanese administrative medical database.

MATERIALS AND METHODS

Anonymized medical data on patients with diabetes mellitus aged ≥65 years for the period from January 2010 to December 2019 were extracted from the EBM Provider database. The primary end-point was a composite of cardiovascular events, whereas the other end-points included severe hypoglycemia and fracture. The association between cardiovascular events and HbA1c at the index date (i.e., approximately 10 months after initial diabetes mellitus diagnosis) was evaluated using the Cox proportional hazards model.

RESULTS

Among the 3,186,751 patients in the database, 3,946 older adults with diabetes mellitus were eligible for inclusion and were subsequently grouped according to HbA1c quartiles at the index date. Cardiovascular events occurred in 142 patients. Patients with HbA1c in the highest quartile had significantly higher risk of hospitalization for cardiovascular disease than those with HbA1c in the lowest quartile (hazard ratio 1.948; 95% confidence interval 1.252-3.031, P = 0.003). However, the events risk was similar across subgroups with HbA1c <7.2%. The incidence of hypoglycemia and fracture was not significantly associated with the level of glycemic control.

CONCLUSIONS

Among older adults with diabetes mellitus, those with poor glycemic control were at higher risk for cardiovascular events compared with those with better glycemic control. However, strict glycemic control had no effect on cardiovascular risk in patients with HbA1c <7.2%.

Association of serum uric acid with biventricular myocardial dysfunction in patients with type 2 diabetes mellitus

BACKGROUND AND AIMS

Increased serum uric acid (SUA) is common in type 2 diabetes mellitus (T2DM) and is associated with left ventricular (LV) myocardial dysfunction. Nonetheless the association of SUA with right ventricular (RV) function in T2DM has not been studied. This study aimed to investigate the association of SUA with biventricular myocardial function in patients with T2DM.

METHODS AND RESULTS

A total of 560 patients with T2DM were enrolled and divided into four groups according to sex-specific quartiles of SUA. Transthoracic echocardiography was performed and two-dimensional speckle tracking was used to measure biventricular myocardial strain, including LV global longitudinal strain (GLS), circumferential strain (CS), radial strain (RS), and RV free wall longitudinal strain (RV-FWLS). The absolute value of all biventricular strain parameters showed a stepwise decrease across SUA quartiles (all P < 0.01). In particular, LV assessment by GLS, CS and RS demonstrated that those in the 4th quartile were impaired compared with the other quartiles (all P < 0.05). Similarly, RV-FWLS of the 4th quartile was significantly impaired compared with the 1st and 2nd quartiles (all P < 0.05). The same reduction in biventricular strain across SUA quartiles was observed in patients with estimated glomerular filtration rate < or ≥60 ml/min/1.73 m², and glycated hemoglobin < or ≥7.0% (all P < 0.05). Multivariable linear regression analysis demonstrated that higher quartile of SUA was independently associated with impaired biventricular myocardial strain (all P < 0.05).

CONCLUSIONS

SUA was independently associated with biventricular myocardial dysfunction in asymptomatic T2DM patients, regardless of renal function or diabetic control.

Diagnostic Performance of Serum Biomarkers Fibroblast Growth Factor 21, Galectin-3 and Copeptin for Heart Failure with Preserved Ejection Fraction in a Sample of Patients with Type 2 Diabetes Mellitus

More than half of the patients with heart failure have preserved ejection fraction (HFpEF), however evidence shows a mortality rate comparable to those with reduced ejection fraction. The aim of this study was to evaluate whether FGF21, galectin-3 and copeptin can be used as biomarkers to identify HFpEF in patients with confirmed type 2 diabetes mellitus (DM). Sixty-nine diabetic patients were enrolled and divided into two groups: patients with HFpEF (n = 40) and those without HFpEF (n = 29). The ability of the studied biomarkers to discriminate HFpEF cases from non-HFpEF subjects were evaluated by the area under the Receiver Operating Characteristics (ROC) curve and the 95% confidence interval (CI). Compared to patients without heart failure, those with HFpEF had significantly higher levels of FGF21 (mean 146.79 pg/mL vs. 298.98 pg/mL). The AUC value of FGF21 was 0.88, 95% CI: [0.80, 0.96], Se = 85% [70.2, 94.3], Sp = 79.3% [60.3, 92.0], at an optimal cut-off value of 217.40 pg/mL. There was no statistical significance associated with galectin-3 and copeptin between patient cohorts. In conclusion, galectin-3 and copeptin levels were not effective for detecting HFpEF, while FGF21 is a promising biomarker for diagnosing HFpEF in DM patients.

Diabetes and heart failure notions from epidemiology including patterns in low-, middle- and high-income countries

About 463 million people are currently living with diabetes and 64 million with heart failure and in addition, substantial proportions of both diseases are undiagnosed. At ages above 65 years prevalence of diabetes is estimated to be around 19% and heart failure at least 10%. In the western world, incidence of both diabetes and heart failure are slightly decreasing while prevalent cases are increasing in high as well as middle and low-income countries due to a general increased longevity and successful prevention and treatment of cardiac disease and of diabetes complications. Therefore, we will see an increase of epidemic proportions of both diabetes and heart failure if novel preventive strategies are not appropriately introduced. Type 1 and type 2 diabetes are both major contributors to the development of heart failure and the combination of diabetes and heart failure severely affects prognosis. In addition, the changing faces of diabetes complications have resulted in heart failure more often being the first manifestation of cardiac complications. An updated scenario on diabetes and heart failure epidemiology to health care providers is important in order to direct resources towards effective preventive strategies.

Trajectories in HbA1c and other risk factors among adults with type 1 diabetes by age at onset

INTRODUCTION

In type 1 diabetes, potential loss of life-years is greatest in those who are youngest at the time of onset. Using data from a nationwide cohort of patients with type 1 diabetes, we aimed to study risk factor trajectories by age at diagnosis.

RESEARCH DESIGN AND METHODS

We stratified 30 005 patients with type 1 diabetes aged 18-75 years into categories based on age at onset: 0-10, 11-15, 16-20, 21-25, and 26-30 years. HbA1c, albuminuria, estimated glomerular filtration rate (eGFR), body mass index (BMI), low-denisty lipoprotein (LDL)-cholesterol, systolic blood pressure (SBP), and diastolic blood pressure trends were analyzed using mixed models. Variable importance for baseline HbA1c was analyzed using conditional random forest and gradient boosting machine approaches.

RESULTS

Individuals aged ≥16 years at onset displayed a relatively low mean HbA1c level (~55-57 mmol/mol) that gradually increased. In contrast, individuals diagnosed at ≤15 years old entered adulthood with a mean HbA1c of approximately 70 mmol/mol. For all groups, HbA1c levels stabilized at a mean of approximately 65 mmol/mol by about 40 years old. In patients who were young at the time of onset, albuminuria appeared at an earlier age, suggesting a more rapid decrease in eGFR, while there were no distinct differences in BMI, SBP, and LDL-cholesterol trajectories between groups. Low education, higher age, and poor risk factor control were associated with higher HbA1c levels.

CONCLUSIONS

Young age at the diabetes onset plays a substantial role in subsequent glycemic control and the presence of albuminuria, where patients with early onset may accrue a substantial glycemic load during this period.

Diabetic heart disease: A clinical update

Diabetes mellitus (DM) significantly increases the risk of heart disease, and DM-related healthcare expenditure is predominantly for the management of cardiovascular complications. Diabetic heart disease is a conglomeration of coronary artery disease (CAD), cardiac autonomic neuropathy (CAN), and diabetic cardiomyopathy (DCM). The Framingham study clearly showed a 2 to 4-fold excess risk of CAD in patients with DM. Pathogenic mechanisms, clinical presentation, and management options for DM-associated CAD are somewhat different from CAD among nondiabetics. Higher prevalence at a lower age and more aggressive disease in DM-associated CAD make diabetic individuals more vulnerable to premature death. Although common among diabetic individuals, CAN and DCM are often under-recognised and undiagnosed cardiac complications. Structural and functional alterations in the myocardial innervation related to uncontrolled diabetes result in damage to cardiac autonomic nerves, causing CAN. Similarly, damage to the cardiomyocytes from complex pathophysiological processes of uncontrolled DM results in DCM, a form of cardiomyopathy diagnosed in the absence of other causes for structural heart disease. Though optimal management of DM from early stages of the disease can reduce the risk of diabetic heart disease, it is often impractical in the real world due to many reasons. Therefore, it is imperative for every clinician involved in diabetes care to have a good understanding of the pathophysiology, clinical picture, diagnostic methods, and management of diabetes-related cardiac illness, to reduce morbidity and mortality among patients. This clinical review is to empower the global scientific fraternity with up-to-date knowledge on diabetic heart disease.

Association of Mean and Variability of HbA1c with Heart Failure in Patients with Type 2 Diabetes

Heart failure (HF) is a common presentation in patients with type 2 diabetes mellitus (T2DM). Previous studies revealed that the HbA1c level is significantly associated with HF. However, little is known about the association between HbA1c variability and HF. We aimed to evaluate the association of mean and variability of HbA1c with HF in patients with T2DM. Using Diabetes Share Care Program data, patients with T2DM who had mean HbA1c (HbA1c-Mean), and HbA1c variability (tertiles of HbA1c-SD and HbA1c-adjSD) within 12–24 months during 2001–2008 were included. The cutoffs of HbA1c-Mean were set at <7%, 7–7.9%, and ≥8%. Hazard ratios (HRs) for HF during 2008–2018 were estimated using Cox proportional hazard models. A total of 3824 patients were included, of whom 315 patients developed HF during the observation period of 11.72 years. The associated risk of HF increased with tertiles of HbA1c variability and cutoffs of HbA1c-Mean. In mutually adjusted models, HbA1c-Mean showed a consistent dose-response association with HF, while the association of HbA1c variability with HF disappeared. Among patients with HbA1c-Mean <7%, the associated risk of HF in patients with HbA1c variability in tertile 3 was comparable to patients with HbA1c-Mean ≥8%. In conclusion, mean HbA1c was an independent predictor of HF and not explained by HbA1c variability. In addition to absolute HbA1c level, targeting on stability of HbA1c in patients with good glycemic control was also important for the development of HF in patients with T2DM.

National diabetes registries: do they make a difference?

AIMS

The global epidemic of diabetes mellitus continues to expand, including its large impact on national health care. Measuring diabetes outcomes and their causes of variation highlights areas for improvement in care and efficiency gains; large registries carry this potential. By means of a systematic review, we aimed to give an overview of national registries worldwide by quantifying their data and assessing their influence on diabetes care.

METHODS

The literature on MEDLINE up to March 31, 2020, was searched, using keywords diabetes mellitus, national, registry, registration, and/or database. National disease-specific registries from corresponding articles were included. Database characteristics and clinical variables were obtained. All registries were compared to the ICHOM standard set of outcomes.

RESULTS

We identified 12 national clinical diabetes registries, comprising a total of 7,181,356 diabetic patients worldwide. Nearly all registries recorded weight, HbA1c, lipid profile, and insulin treatment; the recording of other variables varied to a great extent. Overall, registries corresponded fairly well with the ICHOM set. Most registries proved to monitor and improve the quality of diabetes care using guidelines as a benchmark. The effects on national healthcare policy were more variable and often less clear.

CONCLUSIONS

National diabetes registries confer clear insights into diagnostics, complications, and treatment. The extent to which registries influenced national healthcare policy was less clear. A globally implemented standard outcome set has the potential to improve concordance between national registries, enhance the comparison and exchange of diabetes outcomes, and allocate resources and interventions where most needed.

Diabetes and Heart Failure: A Marriage of Inconvenience

Type 2 diabetes and congestive heart failure are growing public health problems and are expected to worsen in the next decade. There is an inarguable link between diabetes and heart failure but only recently has there been an effort to elucidate the underlying pathophysiologic connection resulting in diabetic cardiomyopathy. Traditionally, diabetes and heart failure have been treated as 2 distinct disease entities, but recent advances in individual therapies have shown remarkable concomitant improvements in both diabetes and cardiovascular outcomes. This article aims to review the key connections in the epidemiology and etiopathophysiology of type 2 diabetes and heart failure.

Consensus document: management of heart failure in type 2 diabetes mellitus

Type 2 diabetes mellitus (T2DM) is a known predisposing factor for heart failure (HF). The growing burden of these two conditions and their impact on health of the individual and on society in general needs urgent attention from the health care professionals. Availability of multiple treatment choices for managing T2DM and HF may make therapeutic decisions more complex for clinicians. Recent cardiovascular outcome trials of antidiabetic drugs have added very robust evidence to effectively manage subjects with this dual condition. This consensus statement provides the prevalence trends and the impact of this dual burden on patients. In addition, it concisely narrates the types of HF, the different treatment algorithms, and recommendations for physicians to comprehensively manage such patients.

Age at Diagnosis of Type 2 Diabetes Mellitus and Associations With Cardiovascular and Mortality Risks

BACKGROUND

Risk of cardiovascular disease (CVD) and mortality for patients with versus without type 2 diabetes mellitus (T2DM) appears to vary by the age at T2DM diagnosis, but few population studies have analyzed mortality and CVD outcomes associations across the full age range.

METHODS

With use of the Swedish National Diabetes Registry, everyone with T2DM registered in the Registry between 1998 and 2012 was included. Controls were randomly selected from the general population matched for age, sex, and county. The analysis cohort comprised 318 083 patients with T2DM matched with just <1.6 million controls. Participants were followed from 1998 to 2013 for CVD outcomes and to 2014 for mortality. Outcomes of interest were total mortality, cardiovascular mortality, noncardiovascular mortality, coronary heart disease, acute myocardial infarction, stroke, heart failure, and atrial fibrillation. We also examined life expectancy by age at diagnosis. We conducted the primary analyses using Cox proportional hazards models in those with no previous CVD and repeated the work in the entire cohort.

RESULTS

Over a median follow-up period of 5.63 years, patients with T2DM diagnosed at ≤40 years had the highest excess risk for most outcomes relative to controls with adjusted hazard ratio (95% CI) of 2.05 (1.81-2.33) for total mortality, 2.72 (2.13-3.48) for cardiovascular-related mortality, 1.95 (1.68-2.25) for noncardiovascular mortality, 4.77 (3.86-5.89) for heart failure, and 4.33 (3.82-4.91) for coronary heart disease. All risks attenuated progressively with each increasing decade at diagnostic age; by the time T2DM was diagnosed at >80 years, the adjusted hazard ratios for CVD and non-CVD mortality were <1, with excess risks for other CVD outcomes substantially attenuated. Moreover, survival in those diagnosed beyond 80 was the same as controls, whereas it was more than a decade less when T2DM was diagnosed in adolescence. Finally, hazard ratios for most outcomes were numerically greater in younger women with T2DM.

CONCLUSIONS

Age at diagnosis of T2DM is prognostically important for survival and cardiovascular risks, with implications for determining the timing and intensity of risk factor interventions for clinical decision making and for guideline-directed care. These observations amplify support for preventing/delaying T2DM onset in younger individuals.

Risk of first stroke in people with type 2 diabetes and its relation to glycaemic control: A nationwide observational study

AIMS

To compare stroke incidence in people with type 2 diabetes (T2D) with that in a matched control group, and to investigate whether glucose exposure in people with T2D can predict a first-time stroke event and mortality.

MATERIAL AND METHODS

In a nationwide observational cohort study, individuals with T2D were linked in the Swedish National Diabetes Register and matched with five individual population-based control subjects. We calculated crude incidence rates and 95% confidence intervals (CIs), and used Cox regression and multivariable hazard ratios (HRs), to estimate the risk of stroke and mortality in relation to glycated haemoglobin (HbA1c) levels.

RESULTS

A total of 406 271 people with T2D (age 64.1 ± 12.4 years, 45.7% women) and 2086 440 control subjects (age 64.0 ± 12.4 years, 45.7% women) were included. During a median follow-up of 7.3 years, 26 380 people with T2D (6.5%) versus 92 375 control subjects (4.4%) were diagnosed with a stroke. The incidence rate was 10.12 events per 1000 person-years versus 7.26 events per 1000 person-years (HR 1.54, 95% CI 1.52-1.56). In the T2D group after multivariable adjustments, the HRs for stroke stratified by HbA1c level were: 54-64 mmol/mol: 1.27 (95% CI 1.22-1.32); 65-75 mmol/mol: 1.68 (95% CI 1.60-1.76); 76-86 mmol/mol: 1.89 (95% CI, 1.75-2.05); and > 87 mmol/mol: 2.14 (95% CI 1.90-2.42), respectively, compared with the reference category of HbA1c ≤53 mmol/mol. There was a stepwise increased risk of death after stroke, for every 10-mmol/mol categorical increment of HbA1c (HR 1.71; 95% CI 1.47-2.00) for the highest HbA1c category.

CONCLUSIONS

An increased risk of stroke and death was associated with poor glycaemic control in people with T2D.

Risk of atrial fibrillation in persons with type 2 diabetes and the excess risk in relation to glycaemic control and renal function: a Swedish cohort study

Background

To examine the incidence of atrial fibrillation in individuals with type 2 diabetes compared with age- and sex-matched controls from the general population and its variation in relation to glycaemic control and renal function.

Methods

A total of 421,855 patients with type 2 diabetes from the Swedish National Diabetes Registry and 2,131,223 controls from the Swedish Population Registry, matched for age, sex and county, were included and followed from January 1, 2001 to December 31, 2013.

Results

Overall, 8.9% of individuals with type 2 diabetes and 7.0% of controls were diagnosed with atrial fibrillation during follow-up, unadjusted incidence risk ratio (IRR) 1.35 (95% 1.33–1.36). Women < 55 years old with type 2 diabetes had an IRR of 2.36 (95% CI 2.10–2.66), in relation to controls, whereas the corresponding value for men < 55 years old with type 2 diabetes was IRR 1.78 (95% CI 1.67–1.90). In the fully adjusted Cox regression, the risk of type 2 diabetes on incident atrial fibrillation was 28% greater vs controls, hazard ratio (HR) 1.28 (95% CI 1.26–1.30), p < 0.0001. The excess risk of atrial fibrillation in individuals with type 2 diabetes increased with worsening glycaemic control and renal complications. For individuals with HbA1c ≤ 6.9% (≤ 52 mmol/mol) and normoalbuminuria the excess risk vs controls was still increased, adjusted HR 1.16 (95% CI 1.14–1.19); p < 0.0001.

Conclusions

Individuals with type 2 diabetes had an overall 35% higher risk of atrial fibrillation compared to age- and sex-matched controls from the general population. The excess risk for atrial fibrillation increased with renal complications or with poor glycaemic control. Individuals with type 2 diabetes with good glycaemic control and normoalbuminuria had slightly increased risk.

Linking observational data from general practice, hospital admissions and diabetes clinic databases: can it be used to predict hospital admission?

BACKGROUND

Linking process of care data from general practice (GP) and hospital data may provide more information about the risk of hospital admission and re-admission for people with type-2 diabetes mellitus (T2DM). This study aimed to extract and link data from a hospital, a diabetes clinic (DC). A second aim was to determine whether the data could be used to predict hospital admission for people with T2DM.

METHODS

Data were extracted using the GRHANITE™ extraction and linkage tool. The data from nine GPs and the DC included data from the two years prior to the hospital admission. The date of the first hospital admission for patients with one or more admissions was the index admission. For those patients without an admission, the census date 31/03/2014 was used in all outputs requiring results prior to an admission. Readmission was any admission following the index admission. The data were summarised to provide a comparison between two groups of patients: 1) Patients with a diagnosis of T2DM who had been treated at a GP and had a hospital admission and 2) Patients with a diagnosis of T2DM who had been treated at a GP and did not have a hospital admission.

RESULTS

Data were extracted for 161,575 patients from the three data sources, 644 patients with T2DM had data linked between the GPs and the hospital. Of these, 170 also had data linked with the DC. Combining the data from the different data sources improved the overall data quality for some attributes particularly those attributes that were recorded consistently in the hospital admission data. The results from the modelling to predict hospital admission were plausible given the issues with data completeness.

CONCLUSION

This project has established the methodology (tools and processes) to extract, link, aggregate and analyse data from general practices, hospital admission data and DC data. This study methodology involved the establishment of a comparator/control group from the same sites to compare and contrast the predictors of admission, addressing a limitation of most published risk stratification and admission prediction studies. Data completeness needs to be improved for this to be useful to predict hospital admissions.

Heart Failure and a Plant-Based Diet. A Case-Report and Literature Review

A 54-year-old female with grade 3 obesity body mass index (BMI 45.2 kg/m2) and type II diabetes (hemoglobin A1c 8.1%) presented to her primary care physician in May 2017 with a chief complaint of left lower extremity edema. Work-up revealed heart failure with depressed left ventricular systolic function. Upon diagnosis, she substantially altered her lifestyle, changing her diet from a "healthy western" one to a whole food plant-based one. Guideline directed medical therapy for heart failure was also utilized. Over five and a half months, she lost 22.7 kg and reversed her diabetes without the use of diabetes medications. Her left ventricular systolic function normalized. Although causality cannot be determined, this case highlights the potential role of a plant-based diet in helping to reverse heart failure with reduced ejection fraction. This article will review how a minimally processed whole food plant-based dietary pattern and similar dietary patterns, such as the Dietary Approach to Stop Hypertension diet, may contribute to the reversal of left ventricular dysfunction.

Type 2 Diabetes Mellitus and Heart Failure: A Scientific Statement From the American Heart Association and the Heart Failure Society of America: This statement does not represent an update of the 2017 ACC/AHA/HFSA heart failure guideline update

Type 2 diabetes mellitus is a risk factor for incident heart failure and increases the risk of morbidity and mortality in patients with established disease. Secular trends in the prevalence of diabetes mellitus and heart failure forecast a growing burden of disease and underscore the need for effective therapeutic strategies. Recent clinical trials have demonstrated the shared pathophysiology between diabetes mellitus and heart failure, the synergistic effect of managing both conditions, and the potential for diabetes mellitus therapies to modulate the risk of heart failure outcomes. This scientific statement on diabetes mellitus and heart failure summarizes the epidemiology, pathophysiology, and impact of diabetes mellitus and its control on outcomes in heart failure; reviews the approach to pharmacological therapy and lifestyle modification in patients with diabetes mellitus and heart failure; highlights the value of multidisciplinary interventions to improve clinical outcomes in this population; and outlines priorities for future research.

Type 2 Diabetes Mellitus and Heart Failure, A Scientific Statement From the American Heart Association and Heart Failure Society of America

Type 2 diabetes mellitus is a risk factor for incident heart failure and increases the risk of morbidity and mortality in patients with established disease. Secular trends in the prevalence of diabetes mellitus and heart failure forecast a growing burden of disease and underscore the need for effective therapeutic strategies. Recent clinical trials have demonstrated the shared pathophysiology between diabetes mellitus and heart failure, the synergistic effect of managing both conditions, and the potential for diabetes mellitus therapies to modulate the risk of heart failure outcomes. This scientific statement on diabetes mellitus and heart failure summarizes the epidemiology, pathophysiology, and impact of diabetes mellitus and its control on outcomes in heart failure; reviews the approach to pharmacological therapy and lifestyle modification in patients with diabetes mellitus and heart failure; highlights the value of multidisciplinary interventions to improve clinical outcomes in this population; and outlines priorities for future research.

Interrelationship between diabetes mellitus and heart failure: the role of peroxisome proliferator-activated receptors in left ventricle performance

Heart failure (HF) is a common cardiac syndrome, whose pathophysiology involves complex mechanisms, some of which remain unknown. Diabetes mellitus (DM) constitutes not only a glucose metabolic disorder accompanied by insulin resistance but also a risk factor for cardiovascular disease and HF. During the last years though emerging data set up, a bidirectional interrelationship between these two entities. In the case of DM impaired calcium homeostasis, free fatty acid metabolism, redox state, and advance glycation end products may accelerate cardiac dysfunction. On the other hand, when HF exists, hypoperfusion of the liver and pancreas, b-blocker and diuretic treatment, and autonomic nervous system dysfunction may cause impairment of glucose metabolism. These molecular pathways may be used as therapeutic targets for novel antidiabetic agents. Peroxisome proliferator-activated receptors (PPARs) not only improve insulin resistance and glucose and lipid metabolism but also manifest a diversity of actions directly or indirectly associated with systolic or diastolic performance of left ventricle and symptoms of HF. Interestingly, they may beneficially affect remodeling of the left ventricle, fibrosis, and diastolic performance but they may cause impaired water handing, sodium retention, and decompensation of HF which should be taken into consideration in the management of patients with DM. In this review article, we present the pathophysiological data linking HF with DM and we focus on the molecular mechanisms of PPARs agonists in left ventricle systolic and diastolic performance providing useful insights in the molecular mechanism of this class of metabolically active regiments.

Excess risk of hospitalisation for heart failure among people with type 2 diabetes

AIMS/HYPOTHESIS

Type 2 diabetes is an established risk factor for heart failure, but age-specific data are sparse. We aimed to determine excess risk of heart failure, based on age, glycaemic control and kidney function in comparison with age- and sex-matched control individuals from the general population.

METHODS

Individuals with type 2 diabetes registered in the Swedish National Diabetes Registry 1998-2012 (n = 266,305) were compared with age-, sex- and county-matched control individuals without diabetes (n = 1,323,504), and followed over a median of 5.6 years until 31 December 2013.

RESULTS

We identified 266,305 individuals with type 2 diabetes (mean age 62.0 years, 45.3% women) and 1,323,504 control individuals. Of the individuals with type 2 diabetes and control individuals, 18,715 (7.0%) and 50,157 (3.8%) were hospitalised with a diagnosis of heart failure, respectively. Comparing individuals with diabetes with those in the control group, men and women with type 2 diabetes who were younger than 55 years of age had HRs for hospitalisation for heart failure of 2.07 (95% CI 1.73, 2.48) and 4.59 (95% CI 3.50, 6.02), respectively, using analyses adjusted for socioeconomic variables and associated conditions. Younger age, poorer glycaemic control and deteriorating renal function were all associated with increased excess risk of heart failure in those with type 2 diabetes compared with the control group. However, people with diabetes who were ≥75 years and without albuminuria or with good glycaemic control (HbA_1c ≤52 mmol/mol [≤6.9%]) had a similar risk of hospitalisation for heart failure as control individuals in the same age group.

CONCLUSIONS/INTERPRETATION

Men and women aged <55 years with type 2 diabetes are at markedly elevated excess risk of heart failure. The excess risk declined with age, but persisted even with good glycaemic control. However, among those who were 75 years and older, diabetic individuals with well controlled glucose levels or without albuminuria had a risk of heart failure that was on a par with individuals without diabetes.

Cardiovascular disease in diabetes type 2: current concepts

Type 2 diabetes is a major and accelerating public health challenge. Between 1980 and 2014, a period of just 35 years, the number of adults with diabetes globally is estimated to have increased from 108 to 422 million, due not only to sharply rising obesity rates, but also to increasing population size, longer life expectancy, and rising prevalence of diabetes worldwide. Overall, worldwide age-standardized adult diabetes prevalence doubled from 4.3% to 9.0% in men and from 5.0% to 7.9% in women. The largest increases in diabetes type 2 have been demonstrated in low- and middle-income countries, whilst rises in high-income countries have been less marked, or even flat. Diabetes type 2 rates in low- and middle-income countries now in many instances surpass those in high-income countries, in response to changes in lifestyle. One factor of particular concern are the large relative increases in type 2 diabetes amongst young individuals observed in many countries, their higher overall risk factor burden, long exposure to hyperglycaemia and greater risk of complications over the life course. Type 2 diabetes is increasingly found to be a heterogeneous condition, where risk of cardiovascular disease that traditionally has been estimated at 2-4 times that of the nondiabetic population varies substantially with diabetes phenotype and accordingly diabetes does not confer the same increase in relative or absolute risk in all people. New research shows that excess risk varies substantially with type of outcome, age, glycaemic control, the presence of renal complications and other factors. Heart failure, previously less recognized that other cardiovascular conditions, is increasingly coming into focus, because of strong links with poor glycaemic control and obesity. The knowledge about risk of cardiovascular disease in diabetes is almost entirely derived from high-income countries, whereas there is comparatively very little data from low- and middle income countries, where the majority of persons with type 2 diabetes live, and where management in many cases is far from optimal. The reductions in cardiovascular disease incidence and mortality now observed in high-income countries are encouraging, because this reinforces the fact that improvement is possible and that a near-normal, or even normal life-expectancy can be achieved in subtypes of type 2 diabetes.

Cardiovascular Outcomes Trials of Glucose-Lowering Drugs or Strategies in Type 2 Diabetes

As recently as 20 years ago there were no randomized controlled trials of potentially cardiovascular protective therapies in people with type 2 diabetes. The ongoing cardiovascular trials bring needed evidence. Both primary and subsidiary analyses have transformed diabetes from a largely eminence based specialty to one that is firmly evidence based. These studies have provided evidence supporting glucose-lowering drugs for patients with cardiovascular risk factors. Randomized controlled trials such as those described here will continue to challenge assumptions and create new approaches and paradigms that can be pursued to reduce and hopefully eliminate serious cardiovascular and other consequences of diabetes.

Poor glycaemic control and its metabolic and demographic risk factors in a Malaysian community-based study

OBJECTIVES

The lack of population-based evidence on the risk factors for poor glycaemic control in diabetics, particularly in resource-poor settings, is a challenge for the prevention of long-term complications. This study aimed to identify the metabolic and demographic risk factors for poor glycaemic control among diabetics in a rural community in Malaysia.

METHODS

A total of 1844 (780 males and 1064 females) known diabetics aged ≥ 35 years were identified from the South East Asia Community Observatory (SEACO) health and demographic surveillance site database.

RESULTS

41.3% of the sample had poor glycaemic control. Poor glycaemic control was associated with age and ethnicity, with older participants (65+) better controlled than younger adults (45-54), and Malaysian Indians most poorly controlled, followed by Malay and then Chinese participants. Metabolic risk factors were also highly associated with poor glycaemic control.

CONCLUSIONS

There is a critical need for evidence for a better understanding of the mechanisms of the associations between risk factors and glycaemic control.

Reduced Long-Term Risk of Aortic Aneurysm and Aortic Dissection Among Individuals With Type 2 Diabetes Mellitus: A Nationwide Observational Study

BACKGROUND

No studies have examined long-term risks for aortic aneurysm (AA) and aortic dissection (AD) or mortality after AA or AD hospitalization among patients with type 2 diabetes mellitus (T2DM).

METHODS AND RESULTS

In this observational cohort study, we linked data for patients with T2DM in the Swedish National Diabetes Register, and 5 individually matched population-based control subjects (CSs) without diabetes mellitus (on the basis of sex, age, and county), to other national databases to capture hospitalizations and death. We examined the risk of hospitalization for AA and AD, as well as mortality risk after AA and AD using Kaplan-Meier curves and Cox regression hazards models. Data on 448 319 patients with T2DM and 2 251 015 CSs were obtained between 1998 and 2015. Mean follow-up time was 7.0 years for the T2DM group and 7.2 years for the CS group. Patients with T2DM had a relative risk reduction of 28% (hazard ratio, 0.72; 95% confidence interval, 0.68-0.76; P<0.0001) for AA and a 47% relative risk reduction (hazard ratio, 0.53; 95% confidence interval, 0.42-0.65; P<0.0001) for AD compared with CSs. Patients with T2DM had a relative risk reduction of 12% (hazard ratio, 0.88; 95% confidence interval, 0.82-0.94; P<0.0001) for mortality after hospitalization for AA, and unaltered risk (hazard ratio, 1.07; 95% confidence interval, 0.85-1.34; P=0.5859) for mortality after AD, up to 2 years compared with CSs.

CONCLUSIONS

Patients with T2DM had significantly reduced risks of AA and AD as well as reduced risk of mortality after hospitalization for AA, compared to CS. Data suggest that glycated cross-links in aortic tissue may play a protective role in the progression of aortic diseases among patients with T2DM.

Variables associated with HbA1c and weight reductions when adding liraglutide to multiple daily insulin injections in persons with type 2 diabetes (MDI Liraglutide trial 3)

OBJECTIVE

To evaluate variables associated with hemoglobin A1c (HbA1c) and weight reduction when adding liraglutide to persons with type 2 diabetes treated with multiple daily insulin injections (MDI).

RESEARCH DESIGN AND METHODS

This was a reanalysis of a previous trial where 124 patients were enrolled in a double-blind, placebo-controlled, multicenter randomized trial carried out over 24 weeks. Predictors for effect on change in HbA1c and weight were analyzed within the treatment group and with concurrent interaction analyses. Correlation analyses for change in HbA1c and weight from baseline to week 24 were made.

RESULTS

The mean age at baseline was 63.7 years, 64.8% were men, the mean number of insulin injections was 4.4 per day, the mean daily insulin dose was 105 units and the mean HbA1c was 74.5 mmol/mol (9.0%). The mean HbA1c and weight reductions were 12.3 mmol/mol (1.13%; P<0.001) and 3.8 kg (P<0.001) greater in liraglutide than placebo-treated persons. There was no significant predictor for greater effect on HbA1c that existed in all analyses (univariate, multivariate and interaction analyses against controls). For a greater weight reduction when adding liraglutide, a lower HbA1c level at baseline was a predictor (liraglutide group P=0.002, P=0.020 for liraglutide group vs placebo). During follow-up in the liraglutide group, no significant correlation was found between change in weight and change in HbA1c (r=0.09, P=0.46), whereas a correlation existed between weight and insulin dose reduction (r=0.44, P<0.001).

CONCLUSION

Weight reduction becomes greater when adding liraglutide in patients with type 2 diabetes treated with MDI who had a lower HbA1c level compared with those with a higher HbA1c level. There was no correlation between reductions in HbA1c and weight when liraglutide was added, that is, different patient groups responded with HbA1c and weight reductions.

TRIAL REGISTRATION NUMBER

EudraCT nr: 2012-001941-42.

Comorbidity of chronic kidney disease, diabetes and lower glycated hemoglobin predicts support/care-need certification in community-dwelling older adults

AIM

Chronic kidney disease (CKD), diabetes and lower glycated hemoglobin (HbA_1c ) range in diabetes patients are associated with higher mortality. We investigated whether these conditions were associated with the risk of loss of independence in community-dwelling older adults.

METHODS

We analyzed 1078 older adults with no history of support/care-need certification in Long-Term Care Insurance aged 65-94 years. Associations of baseline CKD, diabetes, and lower HbA_1c range of <6.0% in the diabetes patients, at baseline health checkup with risk of later certification and/or death for 5 years were estimated using the Cox proportional hazards regression model.

RESULTS

The prevalence of both CKD and diabetes in the total population increased with age, due to a net increase in the coexistence of CKD and diabetes. The prevalence of the lower HbA_1c range also increased with age in participants with the coexistence. During 5 years, 135 certifications and 53 deaths occurred. After adjustment, patients with comorbidity of the triad of CKD, diabetes and the lower HbA_1c range had significantly higher hazard ratios (HR) for certification (HR 3.52, 95% confidence interval [CI] 1.91-6.48, P < 0.001) and for death (HR 3.79, 95% CI 1.46-9.85, P = 0.006) compared with those without CKD and diabetes. The harmful impact of the lower HbA_1c range on later certification compared with higher HbA_1c range of ≥6.0% was maintained in diabetes patients with use of antidiabetic agents and CKD (HR 2.40, 95% CI 1.06-6.45, P = 0.036).

CONCLUSIONS

Excessive HbA_1c reduction might cause discontinuance of disability-free survival in community-dwelling older diabetes patients with CKD. Geriatr Gerontol Int 2018; 18: 521-529.

Interdisciplinary approach to compensation of hypoglycemia in diabetic patients with chronic heart failure

Diabetes mellitus is a chronic disease requiring lifelong control with hypoglycemic agents that must demonstrate excellent efficacy and safety profiles. In patients taking glucose-lowering drugs, hypoglycemia is a common cause of death associated with arrhythmias, increased thrombus formation, and specific effects of catecholamines due to sympathoadrenal activation. Focus is now shifting from merely glycemic control to multifactorial approach. In the context of individual drugs and classes, this article reviews interdisciplinary strategies evaluating metabolic effects of drugs for treatment of chronic heart failure (CHF) which can mask characteristic hypoglycemia symptoms. Hypoglycemia unawareness and cardiac autonomic neuropathy are discussed. Data suggesting that hypoglycemia modulates immune response are reviewed. The potential role of gut microbiota in improving health of patients with diabetes and CHF is emphasized. Reports stating that nondiabetic CHF patients can have life-threatening hypoglycemia associated with imbalance of thyroid hormones are discussed. Regular glycemic control based on HbA1c measurements and adequate pharmacotherapy remain the priorities in diabetes management. New antihyperglycemic drugs with safer profiles should be preferred in vulnerable CHF patients. Multidrug interactions must be considered. Emerging therapies with reduced hypoglycemia risk, telemedicine, sensor technologies, and genetic testing predicting hypoglycemia risk may help solving the challenges of hypoglycemia in CHF patients with diabetes. Interdisciplinary work may involve cardiologists, diabetologists/endocrinologists, immunologists, gastroenterologists, microbiologists, nutritionists, imaging specialists, geneticists, telemedicine experts, and other relevant specialists. This review emphasizes that systematic knowledge on pathophysiology of hypoglycemia in diabetic patients with CHF is largely lacking and the gaps in our understanding require further discoveries.

Cardiac Computed Tomography Angiographic Findings as Predictors of Late Heart Failure in an Asymptomatic Diabetic Cohort: An 8-Year Prospective Follow-Up Study

OBJECTIVES

Predictive models for heart failure (HF) in heterogeneous populations have had limited success. We examined cardiac computed tomography angiography (CTA) predictors of HF or cardiovascular death (HF-CVD) in a prospective study of asymptomatic diabetics undergoing baseline assessment by CTA.

METHODS

The subjects (n = 735, aged 55-74 years, 51.2% women) had no clinical history of cardiovascular disease at study entry. Coronary artery calcium (CAC) score, CTA-defined coronary atherosclerosis, cardiac chamber volumes, and clinical data were collected and late outcome events recorded over 8.4 ± 0.6 years (range 7.3-9.3).

RESULTS

HF-CVD occurred in 41 (5.6%) subjects, with HF occurring mostly (19/23, 82.6%) in subjects without preceding myocardial infarction. Baseline univariate clinical outcome predictors of HF-CVD included older age (p = 0.027), the duration of diabetes (p = 0.004), HbA1c (p < 0.0001), microvascular disease (retinopathy, microalbuminuria) (p < 0.0001), and systolic blood pressure (p = 0.035). Baseline univariate CTA predictors included CAC score (p = 0.004), coronary stenosis (p = 0.047), and a CTA-defined left/right atrial (LA/RA) volume ratio >1 (p < 0.0001). Independent predictors were an LA/RA volume ratio >1, microvascular disease, and systolic blood pressure (model C-statistic 0.792, 95% CI 0.758-0.824). Measures of the extent of coronary artery disease (CAD) were not independent predictors of HF-CVD.

CONCLUSIONS

In a low- to moderate-risk asymptomatic diabetic population, CTA LA enlargement (LA/RA volume ratio) but not the extent of CAD had independent prognostic value for HF-CVD in addition to the clinical variables.

Efficacy and safety of sitagliptin in elderly patients with type 2 diabetes mellitus and comparison of hypoglycemic action of concomitant medications: a subanalysis of the JAMP study

Purpose

To determine the efficacy and safety of sitagliptin when used with some therapeutic drugs to treat elderly patients.

Methods

Sitagliptin (50 mg/day) was added to the pre-existing therapy for type 2 diabetes. Changes in the glycated hemoglobin (HbA1c) level after 3 months of treatment were compared with the baseline, and exploratory analysis was performed. These analyses were conducted as subanalyses of the JAMP study, which was an open-label observational study.

Results

For patients who were ≥65 years of age, the change in HbA1c level from baseline ranged from -0.50 to -0.87% at 3 months after starting treatment. There was no significant difference in the change in HbA1c level between the patients treated with different concomitant drugs. No significant difference in HbA1c variations at 3 and 12 months from baseline was noted among the three age groups (≥75, 65-74, and <65 years). Multiple regression analysis was performed, and it revealed that patients with higher HbA1c levels at baseline were likely to show decreased HbA1c levels, while those with higher triglyceride (TG) levels were unlikely to show decreased HbA1c levels.

Conclusion

Sitagliptin has the potential to both improve glycemic control and prevent hypoglycemia, and can be considered a potent alternative drug.

Strategy to identify subjects with diabetes mellitus more suitable for selective echocardiographic screening: The DAVID-Berg study

BACKGROUND

Despite the burden of pre-clinical heart failure (HF) among diabetes mellitus (DM) patients, routine screening echocardiography is not currently recommended. We prospectively assessed risk prediction for HF/death of a screening strategy combining clinical data, electrocardiogram, NTproBNP, and echocardiogram, aiming to identify DM patients more suitable for selective echocardiography.

METHODS

Among 4047 screened subjects aged≥55/≤80years, the DAVID-Berg Study prospectively enrolled 623 outpatients with DM, or hypertension, or known cardiovascular disease but with no HF history/symptoms. The present analysis focuses on data obtained during a longitudinal follow-up of the 219 patients with DM.

RESULTS

Mean age was 68years, 61% were men, and median DM duration was 4.9years. During a median follow-up of 5.2years, 50 subjects developed HF or died. A predictive model using clinical data demonstrated moderate predictive power, which significantly improved by adding electrocardiogram (C-statistic 0.75 versus 0.70; p<0.05), but not NTproBNP (C-statistic 0.72, p=0.20). Subjects with normal clinical variables or abnormal clinical variables but normal electrocardiogram had low events rate (1.3 versus 2.4events/100-person-years, p=NS). Conversely, subjects with both clinical and electrocardiogram abnormalities (47%) carried higher risk (9.0events/100-person-years, p<0.001). The predictive power for mortality/HF development increased when echocardiography was added (13.6events/100-person-years, C-statistic 0.80, p<0.05).

CONCLUSIONS

Our prospective study found that a selective echocardiographic screening strategy guided by abnormal clinical/electrocardiogram data can reliably identify DM subjects at higher risk for incident HF and death. This screening approach may hold promise in guiding HF prevention efforts among DM patients.

Effects on Subclinical Heart Failure in Type 2 Diabetic Subjects on Liraglutide Treatment vs. Glimepiride Both in Combination with Metformin: A Randomized Open Parallel-Group Study

OBJECTIVE

We aimed to investigate the effect of liraglutide treatment on heart function in type 2 diabetes (T2D) patients with subclinical heart failure.

METHODS

Randomized open parallel-group trial. 62 T2D patients (45 male) with subclinical heart failure were randomized to either once daily liraglutide 1.8 mg, or glimepiride 4 mg, both add on to metformin 1 g twice a day. Mitral annular systolic (s') and early diastolic (e') velocities were measured at rest and during bicycle ergometer exercise, using tissue Doppler echocardiography. The primary endpoint was 18-week treatment changes in longitudinal functional reserve index (LFRI_{diastolic/systolic}).

RESULTS

Clinical characteristics between groups (liraglutide = 33 vs. glimepiride = 29) were well matched. At baseline left ventricle ejection fraction (53.7 vs. 53.6%) and global longitudinal strain (-15.3 vs. -16.5%) did not differ between groups. There were no significant differences in mitral flow velocities between groups. For the primary endpoint, there was no treatment change [95% confidence interval] for: LFRI_diastolic (-0.18 vs. -0.53 [-0.28, 2.59; p = 0.19]), or LFRI_systolic (-0.10 vs. -0.18 [-1.0, 1.7; p = 0.54]); for the secondary endpoints, there was a significant treatment change in respect of body weight (-3.7 vs. -0.2 kg [-5.5, -1.4; p = 0.001]), waist circumference (-3.1 vs. -0.8 cm [-4.2, -0.4; p = 0.019]), and heart rate (HR) (6.3 vs. -2.3 bpm [-3.0, 14.2; p = 0.003]), with no such treatment change in hemoglobin A1c levels (-11.0 vs. -9.2 mmol/mol [-7.0, 2.6; p = 0.37]), between groups.

CONCLUSION

18-week treatment of liraglutide compared with glimepiride did not improve LFRI_{diastolic/systolic}, but however increased HR. There was a significant treatment change in body weight reduction in favor for liraglutide treatment.

Heart Failure: a Major Cardiovascular Complication of Diabetes Mellitus

Heart failure (HF) is a major cardiovascular complication of diabetes mellitus (DM). The greatest risk factor for HF is age, and data indicate that 6 to 10 % of individuals over the age of 65 years suffer from HF. Patients with DM have a 2.5-fold increased risk for developing HF than individuals without DM. The 25 to 40 % of patients with HF who have DM have worse outcome (death from cardiovascular disease or hospitalization for worsening HF) than patients without DM. Hyperglycemia is a risk factor for the development of HF with an increase in incidence of HF rising from 10 % at hemoglobin A1c (HbA1c) 8.0 to 9.0 % to 71 % at a HbA1c > 10 %. Patients with DM and HF are equally distributed between those with low ejection fractions and those with normal ejection fractions. The HF treatment regimens for patients with HF and DM (blockade of angiotensin II synthesis or action, cardioselective β-adrenergic blockade, mineralocorticoid receptor blockade, and diuretics) are the same as for HF patients without DM, though the benefit on clinical outcomes is not as great. The new angiotensin-neprilysin inhibitors appear to provide increase outcome benefits in both HF patients with or without DM. Glycemic control impacts the clinical outcomes in patients with HF and DM in a U-shaped relationship with poorer survival at low and high mean HbA1c levels. The optimal chronic glycemic control occurs at an HbA1c of 7.5 to 8.0 % for patients with DM who have symptoms of HF.

Contemporary risk estimates of three HbA1c variables in relation to heart failure following diagnosis of type 2 diabetes

BACKGROUND

We evaluated the association between glycaemic control and the risk of heart failure (HF) in a contemporary cohort of persons followed after diagnosis of type 2 diabetes (T2D).

METHODS AND RESULTS

Persons with T2D diagnosed between 1998 and 2012 were retrieved from the Clinical Practice Research Data Link in the UK and followed from diagnosis until the event of HF, mortality, drop out from the database due to any other reason, or the end of the study on 1 July 2015. The association between each of three different haemoglobin A_1C (HbA_1c) metrics and HF was estimated using adjusted proportional hazard models. In the overall cohort (n=94 332), the increased risk for HF per 1% (10 mmol/mol) increase in HbA_1c was 1.15 (95% CI 1.13 to 1.18) for updated mean HbA_1c, and 1.06 (1.04 to 1.07) and 1.06 (1.04 to 1.08) for baseline HbA_1c and updated latest HbA_1c, respectively. When categorised, the hazard risk (HR) for the updated mean HbA_1c in relation to HF became higher than for baseline and updated latest HbA_1c above HbA_1c levels of 9%, but did not differ at lower HbA_1c levels. The updated latest variable showed an increased risk for HbA_1c <6% (42 mmol/mol) of 1.16 (1.07 to 1.25), relative category 6-7%, while the HRs for updated mean and baseline HbA_1c showed no such J-shaped pattern.

CONCLUSIONS

Hyperglycaemia is still a risk factor for HF in persons with T2D of similar magnitude as in earlier cohorts. Such a relationship exists for current glycaemic levels, at diagnosis and the overall level but the pattern differs for these variables.

Single, community-based blood glucose readings may be a viable alternative for community surveillance of HbA1c and poor glycaemic control in people with known diabetes in resource-poor settings

Background

The term HbA_1c (glycated haemoglobin) is commonly used in relation to diabetes mellitus. The measure gives an indication of the average blood sugar levels over a period of weeks or months prior to testing. For most low- and middle-income countries HbA_1c measurement in community surveillance is prohibitively expensive. A question arises about the possibility of using a single blood glucose measure for estimating HbA_1c and therefore identifying poor glycaemic control in resource-poor settings.

Design

Using data from the 2011–2012 US National Health and Nutrition Examination Surveys, we examined the relationship between HbA_1c and a single fasting measure of blood glucose in a non-clinical population of people with known diabetes (n=333). A linear equation for estimating HbA_1c from blood glucose was developed. Appropriate blood glucose cut-off values were set for poor glycaemic control (HbA_1c≥69.4 mmol/mol).

Results

The HbA_1c and blood glucose measures were well correlated (r=0.7). Three blood glucose cut-off values were considered for classifying poor glycaemic control: 8.0, 8.9, and 11.4 mmol/L. A blood glucose of 11.4 had a specificity of 1, but poor sensitivity (0.37); 8.9 had high specificity (0.94) and moderate sensitivity (0.7); 8.0 was associated with good specificity (0.81) and sensitivity (0.75).

Conclusions

Where HbA_1c measurement is too expensive for community surveillance, a single blood glucose measure may be a reasonable alternative. Generalising the specific results from these US data to low resource settings may not be appropriate, but the general approach is worthy of further investigation.

Knowledge, Attitude, and Self Care Practices Amongsts Patients WithType 2 Diabetes in Pakistan

Background:

In this age, diabetes is one of the most prevalent, incurable diseases present. The aim of this study was to assess knowledge, attitude and self-care practicesrelated to diabetes in an urban population in Pakistan.

Methods:

A cross sectional survey to assess the knowledge and practices of people with diabetes was conducted in general urbanpopulace. People with diabetes were interviewed using a structured questionnaire from which data was collected. A total of 139 diabetics were included into the study. Basic knowledge about diabetes and its complications were assessed as well as the frequency of practices such as keeping a blood glucometer at home and checking blood sugar with it.

Results:

A total of n=139 participants fulfilling the inclusion criteria were recruited in the survey. Only 18.7% had knowledge regarding the complications of diabetes mellitus. Only 8.6% of participants checked their blood glucose levels at homeregularly, and only 4.3% visited their physiciansregularlyfor check-ups. With regard to practices, a minority attested to have changed their lifestyle and commit to basic practices in order to reduce diabetes related complications with women being more prone to changes than men.

Conclusion:

The results show that most participants had a negative attitude and very little knowledge regarding diabetes. There is a need for increased diabetes related education and for developing positive attitudes towards reduction of diabetes related complications. The Pakistani population is seen to be almost completely unprepared to fight against an increase in type 2 diabetes prevalence.