View clinical trials related to Heart Failure Acute.
Filter by:This study will explore the potential benefits of sodium-glucose cotransporter 2 (SGLT2) inhibitors in preventing cardiac ischemia and cardiopulmonary edema in patients with acute decompensated heart failure during weaning from ventilators.
Acutely decompensated heart failure (ADHF) is highly prevalent and has a high (financial) burden on the health care system. Treatment often consists of the administration of IV decongestive agents. Adequate dosing is difficult due to varying diuretic resistance and inadequate parameters to evaluate the response. Urine sodium is a promising biomarker to evaluate the diuretic response. It is hypothesized that a tailored, urine sodium guided diuretic algorithm will result in faster and more complete decongestion and therefore lead to better survival (in terms of mortality and heart failure events) while being non-inferior in terms of safety (mainly regression of kidney function).
The goal of Lesser Poland Cracovian Heart Failure Registry (LECRA-HF) is to expand the knowledge about acute heart failure (AHF) and its long-term prognosis. The main questions are: - assessment of long-term prognosis of AHF and its determinants - determination of the optimal AHF treatment methods - assessment of indications for invasive coronary arteries diagnostics and revascularization and their long-term effects - analysis of the particular HF subtypes (HFimpEF, HFpEF, HFsnEF, HFrEF, HFmrEF)
Heart failure (HF) is a leading cause of hospitalisation and disability-adjusted life years lost, with mortality rates exceeding most cancers. Despite compelling evidence and recommendations, less than 20% of the HF patients are followed-up by the specialist healthcare after hospital discharge. Due to limited outpatient capacity, human resources and increasing incidence of HF over the next decades, new care models are obviously needed. Remote monitoring (i.e. telemonitoring) encompasses the use of audio, video and other telecommunication technologies to monitor patient status at a distance. Remote monitoring is a promising strategy that can facilitate rapid access to care when needed and reduce patient travel to hospital consultations. It also promotes self-care behaviour, psychosocial support, and early detection of cardiac decompensation. Despite intensive research for >10 years, randomised trials show conflicting results, and European HF guidelines are confined to a weak (class IIb, level of evidence B) recommendation. More knowledge about the role of remote monitoring strategies in HF management, especially in the transition from hospital to home, is thus requested in the most recent European and US guidelines. In particular, studies of high-risk patients integrating the community health services are largely lacking. Furthermore, the components of the intervention that mediate the effect need to be identified. The proposed study aims to address these gaps in evidence and assess whether individually tailored remote monitoring at home (IT-HEART) is improves clinical outcomes in patients hospitalized with decompensated HF. We also aim to identify modifiable clinical and behavioural (drug adherence, self-care, psychological factors) outcome predictors. A prospective, multicentre, randomized, open-label, blinded endpoint adjudication (PROBE) intervention study is designed and powered to include about 368 patients with at least one HF hospitalization in the 12 months preceding enrolment. To ensure generalizability, patients will be included regardless of comorbidity, frailty and ejection fraction. We have conducted a pilot-study providing empirical evidence for the expected participation rate, readmission rate and barriers to HF management in current clinical practice that will be targets for the intervention. This will promote high adherence to the intervention and positive long-term clinical and health economic effects.
Acute heart failure (AHF) is one of the most common causes of hospitalization and life-threatening medical condition around worldwide. The AHF patients admitted to the intensive care unit (ICU) usually be critically ill with multiorgan failure, in which the kidneys are most frequently involved. The goals of treatment of AHF in ICU were to improve hemodynamic stability and organ perfusion, alleviate symptoms, and limit cardiac and renal damage, which can be achieved by continuous renal replacement therapy (CRRT), a continuous extracorporeal blood purification. CRRT can mimic urine output to slowly and continuously remove patient's plasma water, providing accurate volume control and hemodynamic stability. Acute Heart Failure Global Survey of Standard Treatment (ALARM-HF) study showed that hospital mortality of AHF patients was about 17.8% in the intensive care unit (ICU). But the patients undergoing CRRT, the mortality up to 45%-62.1%. For this reason, an early model or score to a screening of AHF patients undergoing CRRT who at high mortality risk is crucial, which can help clinicians to rapidly intervene and ameliorate disease outcomes. The most popular tools, especially that can predict mortality for critically ill patients, are the Acute Physiology Assessment and Chronic Health Evaluation II (APACHE II) scoring systems, and Simplified Acute Physiologic Score II (SAPS II). But variables in these scoring systems are complex, which was not convenient to assess at any time. Modified Early Warning Score (MEWS) , much more concise than APACHE II and SAPS II, not only can be used for early warning of the onset of AHF in patients with the risk of heart failure but also has a positive correlation with mortality in these patients. However, up to our knowledge, there was no scores or model to predict the in-hospital mortality of AHF patient undergoing CRRT. Based on the acute heart failure unit (AHFU) of Qilu Hospital and the medical information mart for intensive care III (MIMIC III) database, the investigators collected the data of AHF adults undergoing CRRT. The present study aimed to develop and validate a simple-to-use nomogram model comprised of independent prognostic variables for predicting in-hospital mortality in AHF adults undergoing CRRT by using multivariate logistic regression analysis. With this model, the investigators can guide the early screening of high-risk patients in in-hospital mortality.
A single-arm study to observe NeuroTronik Cardiac Autonomic Nerve Stimulation (CANS) Therapy System hemodynamic and other physiologic effects.
A feasibility study to investigate the safety and performance of the NeuroTronik Cardiac Autonomic Nerve Stimulation (CANS) Therapy System