Management of hypertension associated with cardiovascular failure

Role of Vascular Function in the Prognosis of Heart Failure Patients

Background: Blood vessels have the Windkessel effect and are involved in blood circulation. The breakdown of this mechanism is also involved in the pathogenesis of heart failure (HF); however, the relationship between vascular dysfunction and HF prognosis is not fully understood. Methods: We evaluated 214 patients hospitalized for HF at our institution who underwent a cardio-ankle vascular index (CAVI), which evaluates vascular function, between January 2012 and July 2018. To investigate factors (including CAVI) associated with major adverse cardiac events (MACE) during 1 year after patients with HF were discharged, we evaluated clinical profiles, blood tests, chest X-P, 12-lead electrocardiography, and transthoracic echocardiographic findings. MACE was defined as cardiovascular death or readmission for HF. Results: The severity of HF between the MACE and non-MACE was not significantly different. Previous HF and chronic kidney disease were significantly more common in the MACE group. CAVI and % mean atrial pressure in the MACE group were statistically higher than those in the non-MACE group. The cardiac shadow as shown by chest X-P and left ventricular size in the MACE group were significantly bigger, and HF preserved ejection fraction (EF) (EF > 50%) was significantly more common in the MACE group. In multivariate analysis, CAVI was an independent predictive factor for the occurrence of MACE (model 1; hazard ratio (HR): 1.33, 95% confidence interval (CI): 1.05-1.68, p = 0.018; model 2; HR: 1.31, 95% CI: 1.07-1.60, p = 0.009). Conclusions: Because high CAVI is associated with poor prognosis of HF, these patients require more careful treatment.

The Prevention of the New Onset of Heart Failure in Hypertensive Patients

In 2014, Japan was estimated to have approximately 27 million patients with hypertension (HT), and the ultimate goal of treatment is to prevent complications of HT, including heart failure (HF). The major structural changes in the heart that cause HF are left ventricular (LV) hypertrophy (LVH) and the resulting LV diastolic dysfunction. However, in patients with HT with well-controlled blood pressure (BP), whether they are in HF stage A (only HT) or B (with organic heart disease) is often unclear. It has been reported that strict BP control suppresses LVH, and the improvement of LVH leads to the suppression of cardiovascular complications. Thus, detecting HF stage B HT and providing appropriate treatment lead to the suppression of HF onset. This review focuses on the detection and treatment of organic heart disease in HT.

Bisphenol A (BPA) and Cardiovascular or Cardiometabolic Diseases

Bisphenol A (BPA; 4,4'-isopropylidenediphenol) is a well-known endocrine disruptor. Most human exposure to BPA occurs through the consumption of BPA-contaminated foods. Cardiovascular or cardiometabolic diseases such as diabetes, obesity, hypertension, acute kidney disease, chronic kidney disease, and heart failure are the leading causes of death worldwide. Positive associations have been reported between blood or urinary BPA levels and cardiovascular or cardiometabolic diseases. BPA also induces disorders or dysfunctions in the tissues associated with these diseases through various cell signaling pathways. This review highlights the literature elucidating the relationship between BPA and various cardiovascular or cardiometabolic diseases and the potential mechanisms underlying BPA-mediated disorders or dysfunctions in tissues such as blood vessels, skeletal muscle, adipose tissue, liver, pancreas, kidney, and heart that are associated with these diseases.

Derivation and validation of a machine learning-based risk prediction model in patients with acute heart failure

BACKGROUND

Risk stratification is important in patients with acute heart failure (AHF), and a simple risk score that accurately predicts mortality is needed. The aim of this study is to develop a user-friendly risk-prediction model using a machine-learning method.

METHODS

A machine-learning-based risk model using least absolute shrinkage and selection operator (LASSO) regression was developed by identifying predictors of in-hospital mortality in the derivation cohort (REALITY-AHF), and its performance was externally validated in the validation cohort (NARA-HF) and compared with two pre-existing risk models: the Get With The Guidelines risk score incorporating brain natriuretic peptide and hypochloremia (GWTG-BNP-Cl-RS) and the acute decompensated heart failure national registry risk (ADHERE).

RESULTS

In-hospital deaths in the derivation and validation cohorts were 76 (5.1 %) and 61 (4.9 %), respectively. The risk score comprised four variables (systolic blood pressure, blood urea nitrogen, serum chloride, and C-reactive protein) and was developed according to the results of the LASSO regression weighting the coefficient for selected variables using a logistic regression model (4 V-RS). Even though 4 V-RS comprised fewer variables, in the validation cohort, it showed a higher area under the receiver operating characteristic curve (AUC) than the ADHERE risk model (AUC, 0.783 vs. 0.740; p = 0.059) and a significant improvement in net reclassification (0.359; 95 % CI, 0.10-0.67; p = 0.006). 4 V-RS performed similarly to GWTG-BNP-Cl-RS in terms of discrimination (AUC, 0.783 vs. 0.759; p = 0.426) and net reclassification (0.176; 95 % CI, -0.08-0.43; p = 0.178).

CONCLUSIONS

The 4 V-RS model comprising only four readily available data points at the time of admission performed similarly to the more complex pre-existing risk model in patients with AHF.

Blood pressure in heart failure management and prevention

Hypertension is a leading cause of heart failure and other cardiovascular diseases. Its role in the pathogenesis of heart failure with reduced ejection fraction (HFrEF) differs from that in heart failure with preserved ejection fraction (HFpEF). Moreover, rigorous blood pressure control may reduce the incidence of heart failure. However, once heart failure develops, prognosis is affected by blood pressure, which may differ between patients with and without heart failure. Therefore, the association between guideline-directed medical therapy (GDMT) for heart failure and its uptitration must be considered for blood pressure management and should not be overlooked. Heart failure medications affect the blood pressure and efficacy per baseline blood pressure value. This review discusses the potential mechanisms by which hypertension leads to HFrEF or HFpEF, the impact of hypertension on incident heart failure, and the recommended approaches for blood pressure management in patients with heart failure. Comparison between patients with and without heart failure regarding blood pressure The association between CV events and SBP is linear in patients without heart failure; however, it becomes J-shaped or inverse linear in those with heart failure. The management of BP, including optimal BP or pharmacotherapy, differs between the two populations. ACEi angiotensin-converting enzyme inhibitors, ARB angiotensin II receptor blockers; ARNi angiotensin receptor-neprilysin inhibitors, BB beta-blockers, BP blood pressure, CV cardiovascular, DASH Dietary Approaches to Stop Hypertension, GDMT guideline-directed medical therapy, HF heart failure, HFrEF heart failure with reduced ejection fraction, MRA mineralocorticoid receptor antagonists, SBP systolic blood pressure, SGLT2i sodium-glucose cotransporter 2 inhibitors.