Revisiting the Diabetes-Heart Failure Connection

Applying an Improved Stacking Ensemble Model to Predict the Mortality of ICU Patients with Heart Failure

Cardiovascular diseases have been identified as one of the top three causes of death worldwide, with onset and deaths mostly due to heart failure (HF). In ICU, where patients with HF are at increased risk of death and consume significant medical resources, early and accurate prediction of the time of death for patients at high risk of death would enable them to receive appropriate and timely medical care. The data for this study were obtained from the MIMIC-III database, where we collected vital signs and tests for 6699 HF patient during the first 24 h of their first ICU admission. In order to predict the mortality of HF patients in ICUs more precisely, an integrated stacking model is proposed and applied in this paper. In the first stage of dataset classification, the datasets were subjected to first-level classifiers using RF, SVC, KNN, LGBM, Bagging, and Adaboost. Then, the fusion of these six classifier decisions was used to construct and optimize the stacked set of second-level classifiers. The results indicate that our model obtained an accuracy of 95.25% and AUROC of 82.55% in predicting the mortality rate of HF patients, which demonstrates the outstanding capability and efficiency of our method. In addition, the results of this study also revealed that platelets, glucose, and blood urea nitrogen were the clinical features that had the greatest impact on model prediction. The results of this analysis not only improve the understanding of patients' conditions by healthcare professionals but allow for a more optimal use of healthcare resources.

Insomnia symptoms and incident heart failure: a population-based cohort study

AIMS

Heart failure (HF) is an ongoing epidemic and a serious clinical and public health issue. Currently, little is known about prospective associations between insomnia symptoms and HF incidence. We investigated the longitudinal associations between time-varying insomnia symptoms (difficulty initiating sleep, difficulty maintaining sleep, early-morning awakening, non-restorative sleep) and incident HF.

METHODS AND RESULTS

Data were obtained from the Health and Retirement Study in the US for a population-representative sample of 12,761 middle-aged and older adults (age ≥ 50 years; mean [SD] age, 66.7 [9.4] years; 57.7% females) who were free from HF at baseline in 2002. Respondents were followed for 16 years for incident HF. We employed marginal structural discrete-time survival analyses to adjust for potential time-varying biological, psycho-cognitive, and behavioral factors and to account for bias due to differential loss to follow-up. At baseline, 38.4% of the respondents reported experiencing at least one insomnia symptom. During the 16-year follow-up, 1,730 respondents developed incident HF. Respondents experiencing one (hazard ratio [HR]=1.22; 95% CI: 1.08-1.38), two (HR=1.45; 95% CI: 1.21-1.72), three (HR=1.66; 95% CI: 1.37-2.02), or four (HR=1.80; 95% CI: 1.25-2.59) insomnia symptoms had a higher hazard of incident HF than asymptomatic respondents. Respondents that had trouble initiating sleep (HR=1.17; 95%CI: 1.01-1.36), maintaining sleep (HR=1.14; 95% CI: 1.01-1.28), early-morning awakening (HR=1.20; 95% CI: 1.02-1.43), or non-restorative sleep (HR=1.25; 95% CI: 1.06-1.46) had a higher hazard of incident HF than asymptomatic respondents.

CONCLUSION

Insomnia symptoms, both cumulatively and individually, are associated with incident HF. Public health awareness and screening for insomnia symptoms in at-risk populations should be encouraged to reduce HF incidence.

Diabetes and Heart Failure: Multi-Omics Approaches

Diabetes and heart failure, as important global issues, cause substantial expenses to countries and medical systems because of the morbidity and mortality rates. Most people with diabetes suffer from type 2 diabetes, which has an amplifying effect on the prevalence and severity of many health problems such as stroke, neuropathy, retinopathy, kidney injuries, and cardiovascular disease. Type 2 diabetes is one of the cornerstones of heart failure, another health epidemic, with 44% prevalence. Therefore, finding and targeting specific molecular and cellular pathways involved in the pathophysiology of each disease, either in diagnosis or treatment, will be beneficial. For diabetic cardiomyopathy, there are several mechanisms through which clinical heart failure is developed; oxidative stress with mediation of reactive oxygen species (ROS), reduced myocardial perfusion due to endothelial dysfunction, autonomic dysfunction, and metabolic changes, such as impaired glucose levels caused by insulin resistance, are the four main mechanisms. In the field of oxidative stress, advanced glycation end products (AGEs), protein kinase C (PKC), and nuclear factor kappa-light-chain-enhancer of activated B cells (NF-κB) are the key mediators that new omics-driven methods can target. Besides, diabetes can affect myocardial function by impairing calcium (Ca) homeostasis, the mechanism in which reduced protein phosphatase 1 (PP1), sarcoplasmic/endoplasmic reticulum Ca2+ ATPase 2a (SERCA2a), and phosphorylated SERCA2a expressions are the main effectors. This article reviewed the recent omics-driven discoveries in the diagnosis and treatment of type 2 diabetes and heart failure with focus on the common molecular mechanisms.

Amylin deposition activates HIF1α and 6-phosphofructo-2-kinase/fructose-2, 6-biphosphatase 3 (PFKFB3) signaling in failing hearts of non-human primates

Hyperamylinemia induces amylin aggregation and toxicity in the pancreas and contributes to the development of type-2 diabetes (T2D). Cardiac amylin deposition in patients with obesity and T2D was found to accelerate heart dysfunction. Non-human primates (NHPs) have similar genetic, metabolic, and cardiovascular processes as humans. However, the underlying mechanisms of cardiac amylin in NHPs, particularly related to the hypoxia inducible factor (HIF)1α and 6-phosphofructo-2-kinase/fructose-2,6-biphosphatase 3 (PFKFB3) signaling pathways, are unknown. Here, we demonstrate that in NHPs, amylin deposition in heart failure (HF) contributes to cardiac dysfunction via activation of HIF1α and PFKFB3 signaling. This was confirmed in two in vitro cardiomyocyte models. Furthermore, alterations of intracellular Ca2+, reactive oxygen species, mitochondrial function, and lactate levels were observed in amylin-treated cells. Our study demonstrates a pathological role for amylin in the activation of HIF1α and PFKFB3 signaling in NHPs with HF, establishing amylin as a promising target for heart disease patients.

Usefulness of estimated average glucose (eAG) in glycemic control and cardiovascular risk reduction

OBJECTIVE

One of the 8 regional health authority (RHA) zones in New Brunswick, Canada has implemented eAG since 2010. We sought to evaluate the clinical outcomes of glycemic control and cardiovascular risk levels before and after the eAG implementation in this zone; and to compare the overall outcomes of this zone with other 7 zones of the province.

METHODS

Data (838,407 HbA1c values and 612,314 LDL-c values) was extracted from all adult diabetic patients in the provincial Diabetes Registry from 2008 to 2014. The Kruskal-Wallis statistic was conducted to compare the medians and inter quartile ranges of HbA1c and LDL-c from different zones. The proportion of patients achieving therapeutic targets, the distribution of HbA1c and LDL-c values pre/post the eAG implementation in RHA Zone 1.1 were assessed by Chi-square analysis.

RESULTS

The proportion of patients achieving targets in Zone 1.1 were at an intermediate level among all 8 zones and the trends of Zone 1.1 were no different than other zones. There were statistically significant differences for Zone 1.1 in the distribution of HbA1c (Z = -12.5190, P < 0.001) and LDL-c (Z = 16.4410, P < 0.001) before and after the eAG reported. The proportion of patients with HbA1c < 53 mmol/mol (7.0%) of the RHA Zone 1.1 was significantly lower after eAG reported (49.85% vs. 47.24%, P < 0.001); while the proportion of patients with LDL-c < 2.6 mmol/L showed statistically significant increase (68.56% vs. 71.90%, P < 0.001).

CONCLUSION

The utilization of eAG has demonstrated no significant impact on glycemic control and cardiovascular risk reduction.

Empagliflozin protects heart from inflammation and energy depletion via AMPK activation

AIMS

Sodium-glucose co-transporter 2 (SGLT2) were originally developed as kidney-targeting anti-diabetic drugs. However, due to their beneficial cardiac off-target effects (as SGLT2 is not expressed in the heart), these antagonists currently receive intense clinical interest in the context of heart failure (HF) in patients with or without diabetes mellitus (DM). Since the mechanisms by which these beneficial effects are mediated are still unclear yet, inflammation that is present in DM and HF has been proposed as a potential pharmacological intervention strategy. Therefore, we tested the hypothesis that the SGLT2 inhibitor, empagliflozin, displays anti-inflammatory potential along with its glucose-lowering property.

METHODS AND RESULTS

Lipopolysaccharide (LPS) was used to induce inflammation in vitro and in vivo. In cardiomyocytes and macrophages empagliflozin attenuated LPS-induced TNFα and iNOS expression. Analysis of intracellular signalling pathways suggested that empagliflozin activates AMP kinase (AMPK) in both cell types with or without LPS-treatment. Moreover, the SGLT2 inhibitor increased the expression of anti-inflammatory M2 marker proteins in LPS-treated macrophages. Additionally, empagliflozin-mediated AMPK activation prevented LPS-induced ATP/ADP depletion. In vivo administration of LPS in mice impaired cardiac contractility and aortic endothelial relaxation in response to acetylcholine, whereby co-administration of empagliflozin preserved cardiovascular function. These findings were accompanied by improved cardiac AMPK phosphorylation and ATP/ADP, reduced cardiac iNOS, plasma TNFα and creatine kinase MB levels.

CONCLUSION

Our data identify a novel cardio protective mechanism of SGLT2 inhibitor, empagliflozin, suggesting that AMPK activation-mediated energy repletion and reduced inflammation contribute to the observed cardiovascular benefits of the drug in HF.

Heart Failure and Diabetes Mellitus: Defining the Problem and Exploring the Interrelationship

Type 2 diabetes mellitus and congestive heart failure are highly prevalent diseases with significant morbidity and mortality. These 2 diseases often occur concurrently because of shared risk factors such as coronary artery disease, and also because type 2 diabetes mellitus has direct cardiotoxic effects. Type 2 diabetes mellitus likely has a causative role in the development and prognosis of patients with heart failure. Optimal prevention and treatment of type 2 diabetes mellitus and heart failure likely involves identifying and treating their shared pathophysiologic features. Novel drug therapies, such as sodium-glucose co-transporter 2 inhibitors, offer an exciting potential to better understand the relationship between type 2 diabetes mellitus and heart failure, and may prove to have beneficial effects on cardiovascular outcomes in patients affected by these diseases.