Treatment of congestion is one of the main goals in patients hospitalized for acute heart failure. Nevertheless, current evidence shows that decongestion is often not achieved and that residual congestion at discharge is strongly associated with poor outcomes. While this association has been demonstrated, previous studies have primarily focused on single parameters of congestion (physical examination, biomarkers, or imaging features). The aim of the study is to assess residual congestion at discharge using a multiparametric approach and to compare the prognostic value of each evaluation strategy. Additionally, the analysis will be supported by artificial intelligence to develop a multiparametric prognostic algorithm that can provide an improved predictive model compared to standard statistical approaches.
Study Type
OBSERVATIONAL
Enrollment
500
Evaluation of residual congestion at discharge will be made using: * Clinical variables: composite congestion score calculated by summing the individual scores for orthopnoea, jugular venous distension and pedal oedema; * Imaging variables: non-invasive left ventricular filling pressure, number of LUS B lines and the presence of pleural effusion, Venous Excess UltraSound (VExUS) score; * Laboratory variables: hemoglobin and hematocrit, NT-proBNP, CA-125, ST2, troponin T, creatinine, AST, ALT, Na, K, urea, bilirubin, C-reactive protein.
Complex Hospitalari Universitari Moisès Broggi
Sant Joan Despí, Barcelona, Spain
RECRUITINGWorsening heart failure or cardiovascular death
Occurrence of the composite of cardiovascular death and worsening heart failure (defined as unplanned hospitalization or urgent visit resulting in diuretic intravenous therapy)
Time frame: 6 months after hospital discharge
all-cause death
Time frame: 6 months after hospital discharge
time to first heart failure event
Time frame: 6 months after hospital discharge
number of heart failure events
Time frame: 6 months after hospital discharge
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