1. Risk-guided strategy for reducing readmissions for acute decompensated heart failure: The Risk-HF study
- Author
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Zisis, Georgios and Zisis, Georgios
- Abstract
Background: Congestion is the hallmark clinical manifestation of heart failure (HF) syndrome and a strong predictor of poor outcomes. Despite rapid improvements in volume status during the hospital course, about half of all patients are discharged with residual congestion, which significantly increases the risk of readmission and affects survival. Although nurse-led disease management programs (DMP) improve outcomes, patients may not be offered this level of support, often because of limited resources. Risk stratification to target DMP to high risk patients is essential; nevertheless, despite DMP and risk assessment, readmission due to re-congestion remains frequent, possibly linked to insufficient decongestion at index discharge. Thus, there is an imperative to ensure euvolemia pre-discharge and monitor post-discharge for early detection of re-congestion. To date, pre-discharge euvolemia is usually based on subjective clinical assessment, which is sometimes inaccurate. Therefore, applying sensitive congestion assessments pre-discharge may help to detect residual congestion and guide the administration of diuretic treatment before and after hospital discharge, during DMP home visits – we call this strategy “DMP-plus”. The primary focus of this thesis was guided decongestion and early detection of deterioration. Hypothesis It is hypothesised that targeting high risk patients (i.e., 33% risk or more) at an enhanced post-discharge, nurse-led DMP, comprised of ultrasound-guided decongestion and constant patient monitoring using mobile health (m-Health), will improve short-term adverse outcomes in patients admitted for ADHF. Objectives: i. To evaluate novel non-invasive congestion assessments and establish the most practical that can be applied to all patients by any health practitioner. ii. To use technological advances to: a) detect, track and eliminate congestion with a portable, non-invasive assessment and b) enhance patient monitoring with an m-Health digital HF ava
- Published
- 2022