Journal
EUROPEAN HEART JOURNAL-CARDIOVASCULAR IMAGING
Volume 24, Issue 7, Pages 961-971Publisher
OXFORD UNIV PRESS
DOI: 10.1093/ehjci/jeac254
Keywords
congestion; heart failure; renal venous flow; lung ultrasound; inferior vena cava; prognosis
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This study investigated the prevalence and clinical value of assessing multi-organ congestion by ultrasound in heart failure outpatients. It found that patients with multiple ultrasound signs of congestion had the worst prognosis.
Aims We investigated the prevalence and clinical value of assessing multi-organ congestion by ultrasound in heart failure (HF) outpatients. Methods and results Ultrasound congestion was defined as inferior vena cava of >= 21 mm, highest tertile of lung B-lines, or discontinuous renal venous flow. Associations with clinical characteristics and prognosis were explored. We enrolled 310 HF patients [median age: 77 years, median NT-proBNP: 1037 ng/L, 51% with a left ventricular ejection fraction (LVEF) <50%], and 101 patients without HF. There were no clinical signs of congestion in 224 (72%) patients with HF, of whom 95 (42%) had at least one sign of congestion by ultrasound (P < 0.0001). HF patients with >= 2 ultrasound signs were older, and had greater neurohormonal activation, lower urinary sodium concentration, and larger left atria despite similar LVEF. During a median follow-up of 13 (interquartile range: 6-15) months, 77 patients (19%) died or were hospitalized for HF. HF patients without ultrasound evidence of congestion had a similar outcome to patients without HF [reference; hazard ratio (HR) 1.02, 95% confidence interval (CI) 0.86-1.35], while those with >= 2 ultrasound signs had the worst outcome (HR 26.7, 95% CI 12.4-63.6), even after adjusting for multiple clinical variables and NT-proBNP. Adding multi-organ assessment of congestion by ultrasound to a clinical model, including NT-proBNP, provided a net reclassification improvement of 28% (P = 0.03). Conclusion Simultaneous assessment of pulmonary, venous, and kidney congestion by ultrasound is feasible, fast, and identifies a high prevalence of sub-clinical congestion associated with poor outcomes.
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