Background. Recently lung ultrasound (LUS) based on B-lines measurement has been proposed as an effective tool for assessment of pulmonary congestion (PC) in patients with decompensated heart failure (DHF). Objective: to assess the incidence, in-hospital changes and prognostic significance of PC assessed by LUS in DHF patients. Materials and methods . Routine clinical assessment and eight-zone LUS were performed in 162 patients with DHF (men 66%, mean age 68±12 years, hypertension 97%, history of myocardial infarction 44%, atrial fibrillation 60%, ejection fraction [EF] 40±14%, EF<40% 46%, baseline NT-proBNP 4 246 [1741; 6 837] pg/ml). Sum of B-lines ≤5 was considered as normal, 6-15, 16-30 and >30 - as mild, moderate and severe PC, respectively. Results. Using LUS on admission PC was diagnosed in all patients (moderate and severe in 31.5 and 67.3%, respectively). At discharge normal LUS profile was observed in 48.2% of patients. In 33.3, 14.8 and 3.7% of patients PC was mild, moderate, and severe, respectively. According to multivariable Cox regression analysis including age, sex, EF, NYHA functional class, and jugular venous distension sum of B-lines >5 at discharge was associated with higher probability of 12-month all-cause death (hazard ratio [HR] 2.86, 95% confidence interval [CI] 1.15-7.13, p=0.024), sum of B-lines >15 - with higher probability of HF readmission (HR 2.83, 95%CI 1.41-5.67, p=0.003). Conclusion. During hospital stay the incidence of PC as assessed by LUS decreased from 100 to 52% of patients. Sum of B-lines >5 at discharge was independently associated with higher risk of 12-month all-cause death, >15 - with higher risk of 12-month HF readmission.
CITATION STYLE
Kobalava, Zh. D., Safarova, A. F., Soloveva, A. E., Cabello, F. E., Meray, I. A., Shavarova, E. K., & Villevalde, S. V. (2019). Pulmonary congestion by lung ultrasound in decompensated heart failure: associations, in-hospital changes, prognostic value. Kardiologiia, 59(8), 5–14. https://doi.org/10.18087/cardio.2019.8.n534
Mendeley helps you to discover research relevant for your work.