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Heart failure (HF) and venous thromboembolism (VTE) are common clinical entities, closely interrelated, sharing multiple pathophysiological mechanisms. Their co-incidence is associated with further worsening of the prognosis of one another. Despite their frequent co-existence, important clinical questions still remain unanswered. The risk of VTE especially in chronic HF patients appears to vary widely in clinical studies, while the VTE-associated risk in HF patients is still not well determined and cannot be accurately predicted. Although scientific guidelines recommend venous thromboprophylaxis in patients hospitalized with an acute HF syndrome, venous thromboprophylaxis has not been studied adequately in prospective trials in ambulatory HF patients. In the present review, we aimed to summarize the current knowledge on the epidemiology of VTE and HF, the risk prediction for VTE occurrence in HF patients, the impact on patient outcome, and the need for anticoagulation in certain HF subgroups to improve prognosis, while we sought to identify gaps in knowledge that need to be addressed in the future., (Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.net.)

Background/Objectives: Patient care in Cardiac Intensive Care Units (CICU) has evolved but data on patient characteristics and outcomes are sparse. This retrospective observational study aimed to define clinical characteristics and risk factors of CICU patients, their in-hospital and 30-day mortality, and compare it with established risk scores. Methods: Consecutive patients (n = 294, mean age 70 years, 74% males) hospitalized within 15 months were studied; APACHE II, EHMRG, GWTG-HF, and GRACE II were calculated on admission. Results: Most patients were admitted for ACS (48.3%) and acute decompensated heart failure (ADHF) (31.3%). Median duration of hospitalization was 2 days (IQR = 1, 4). In-hospital infection occurred in 20%, 18% needed mechanical ventilation, 10% renal replacement therapy and 4% percutaneous ventricular assist devices (33%, 29%, 20% and 4%, respectively, for ADHF). In-hospital and 30-day mortality was 18% and 11% for all patients (29% and 23%, respectively, for ADHF). Established scores (especially APACHE II) had a good diagnostic accuracy (area under the curve-AUC). In univariate and multivariate analyses in-hospital intubation and infection, history of coronary artery disease, hypotension, uremia and hypoxemia on admission were the most important risk factors. Based on these, a proposed new score showed a diagnostic accuracy of 0.954 (AUC) for in-hospital mortality, outperforming previous scores. Conclusions: Patients are admitted mainly with ACS or ADHF, the latter with worse prognosis. Several patients need advanced support; intubation and infections adversely affect prognosis. Established scores predict mortality satisfactorily, but larger studies are needed to develop CICU-directed scores to identify risk factors, improve prediction, guide treatment and staff training. [ABSTRACT FROM AUTHOR]

Background: Although impaired arterial function has been associated with adverse prognosis in chronic Heart Failure (HF), its role in Acute HF Syndromes (AHFS) has been little studied. We prospectively investigated the prognostic role of arterial function on mortality and HF Hospitalizations (HHF) in patients with AHFS. Design and Methods: A thorough assessment of arterial function was performed in patients hospitalized for AHFS 24–48 h before discharge and followed-up for 6 months for all-cause death and HHF. MAGGIC risk score was used to evaluate the additive predictive value of vascular biomarkers for clinical events. Results: One-hundred patients were studied; aged 70 ± 11 years, 78% males, 61% had left ventricular ejection fraction ≤40% and 24% ≥50%. Mean aortic Pulse Wave Velocity (PWV) was 11.2 m/s, mean augmentation index 21% and median brachial flow-mediated dilation 3.14%. Higher PWV was associated with all-cause mortality (Hazard Ratio [HR] 1.32 per 1 m/s, p < 0.001) and the combined clinical event of mortality and HHF (HR 1.12 per 1 m/s, p = 0.012) even after adjustment for MAGGIC score. MAGGIC score predicted mortality (HR 3.40 per group increase, Area under Curve [AUC] = 0.741, p = 0.017) in our population; addition of PWV to MAGGIC score increased the predictive accuracy (AUC = 0.911, C-statistic p < 0.01 vs. MAGGIC score alone) for mortality. Conclusion: In these AHFS patients, increased aortic stiffness was independently associated with mortality and further improved the predictive accuracy of an established risk model. Further research is needed to show whether a comprehensive assessment of AHFS patients focusing both on cardiac and vascular function, may improve management and ameliorate prognosis following an AHF hospitalization. Highlights: The interaction between the heart and the arteries is a determinant of cardiovascular function. Increased aortic Pulse Wave Velocity (PWV) predicts mortality in acute heart failure. Aortic PWV increases predictive accuracy of MAGGIC score. [ABSTRACT FROM AUTHOR]

The aim of this study was to address chronic heart failure (HF) diagnosis with the application of machine learning (ML) approaches. In the present study, we simulated the procedure that is followed in clinical practice, as the models we built are based on various combinations of feature categories, e.g., clinical features, echocardiogram, and laboratory findings. We also investigated the incremental value of each feature type. The total number of subjects utilized was 422. An ML approach is proposed, comprising of feature selection, handling class imbalance, and classification steps. The results for HF diagnosis were quite satisfactory with a high accuracy (91.23%), sensitivity (93.83%), and specificity (89.62%) when features from all categories were utilized. The results remained quite high, even in cases where single feature types were employed. [ABSTRACT FROM AUTHOR]