Revisiting the Diabetes-Heart Failure Connection

Wallner, Markus; Eaton, Deborah; Lewinski, Dirk von; Sourij, Harald

doi:10.1007/s11892-018-1116-z

Cited by 12 publications

(5 citation statements)

References 132 publications

(127 reference statements)

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“…Figure 6 lists the different explanatory variables according to their contribution to each model. We can observe that the clinical characteristics of Platelets, Glucose, Blood Urea Nitrogen, Age, Heart Rate, Systolic Blood Pressure, and Diastolic Blood Pressure are important factors influencing the prediction of HF, and previous studies of HF Similar results have been found in previous studies of HF [ 74 , 75 , 76 ]. However, the effects of GCS eye, GCS motor, GCS verbal, Red Blood Cell, International Normalized Ratio and Gender were not as significant.…”

Section: Resultssupporting

confidence: 84%

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

Chiu

Chien

et al. 2022

JCM

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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.

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Section: Resultssupporting

confidence: 84%

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

Chiu

Chien

et al. 2022

JCM

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“…"DC" is the term that is used for the presence of myocardial dysfunction in the absence of CV associated risk factors (Lehrke and Marx, 2017). The metabolism, function, and structure of the cardiac system may be affected by the underlying pathways of both diabetes and HF (Wallner et al, 2018). In the early stages of DC, structure and morphology changes are not considerable, but in the late stages, both systolic and diastolic function may be affected with greater increases in size and wall thickness of the left ventricular mass (Jia et al, 2016).…”

Section: Coexistence Of T2dm and Hfmentioning

confidence: 99%

Diabetes and Heart Failure: Multi-Omics Approaches

et al. 2021

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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.

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“…Ide však o správy z observačných štúdií, kde je skreslenie spôsobené tým, že diabetici, čo užívajú inzulín, majú ťažšie formy SZ ako diabetici bez inzulínu. V každom prípade sa však nezdá, že by liečba inzulínom mala u diabetikov so SZ priaznivý vplyv na mortalitu (25).…”

Section: Manažment Diabetu Pri Srdcovom Zlyhávaníunclassified

Srdcové zlyhávanie a diabetes mellitus. Nebezpečné spojenie / Heart failure and diabetes mellitus. Dangerous association

Gonçalvesová¹

2020

Cardiol

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Increased risk of cardiovascular disease in type 2 diabetes mellitus (DM II) is generally understood in association with the higher incidence of atherosclerotic vascular occlusive events such as myocardial infarction, stroke and atherosclerotic peripheral artery disease. However, one of the most common and serious cardiovascular disorders in patients with diabetes is heart failure (HF). Patients-men with DM II are at more than three times higher risk of developing HF; in women with diabetes the risk is up to five times higher. After the clinical manifestation of HF in a diabetic patient, prognosis is much worse than without HF. Some surveys show that in diabetic patients over 65 years of age, the one-year mortality after HF manifestation is almost nine times higher than in comparable subjects without HF. Arterial hypertension, coronary disease and metabolic disorders resulting from diabetes itself play a role in the development of HF. Thus, we can in general speak of damage to the heart due to diabetes and associated disorders. The pharmacological treatment of heart failure in patients with DM II is not different in comparison with non-diabetics. Thorough control of blood glucose and other risk factors of cardiovascular disease reduces the risk of developing HF in diabetic patients. In patients with DM II who have already developed HF, the strategy of strict control of DM II no longer reduces the risk of death or other cardiovascular events. In patients with DM II who are at risk of developing HF (patients with hypertension and / or myocardial infarction treatment), treatment with SGLT2 inhibitors reduces the risk of cardiovascular death, incidence and hospitalization for HF. Other antidiabetic drugs have a negative or neutral effect on HF. These unique properties of SGLT2 inhibitors have also been reflected in the 2019 Guidelines of European Society of Cardiology which recognize them as first-line drugs in patients with DM II and atherosclerotic cardiovascular disease, or at very high or high risk of atherosclerotic cardiovascular disease. Fig. 2, Tab.1, Ref. 31, on-line full text (Free, PDF) www.cardiologyletters.sk

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Revisiting the Diabetes-Heart Failure Connection

Cited by 12 publications

References 132 publications

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

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

Diabetes and Heart Failure: Multi-Omics Approaches

Srdcové zlyhávanie a diabetes mellitus. Nebezpečné spojenie / Heart failure and diabetes mellitus. Dangerous association

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