AimsResidual pulmonary congestion at discharge is associated with poor prognosis in heart failure (HF), but its quantification through physical examination is challenging. Ultrasound imaging of lung comets (B-lines) could improve congestion evaluation. The aim of this study was to assess the short-term prognostic value of B-lines after discharge from HF hospitalisation compared with other indices of haemodynamic congestion (BNP, E/e', and inferior vena cava diameter) or clinical status (NYHA class Methods and resultsSixty consecutive HF inpatients underwent clinical examination, echocardiography, and lung ultrasound at discharge, independently of, and in addition to routine management by the attending physicians. The median B-line count was 8.5 (5-34). Three-month event-free survival for the primary endpoint (all-cause death or HF hospitalisation) was 27 ± 10% in patients with ≥30 B-lines and 88 ± 5% in those with <30 B-lines (P < 0.0001). In a multivariable model, ≥30 B-lines significantly predicted the combined endpoint (hazard ratio 5.66, 95% confidence interval 1.74-18.39, P = 0.04), along with NYHA ≥III and inferior vena cava diameter, while other indirect measures of congestion (BNP and E/e' ≥15) were not retained in the model; furthermore ≥30 B-lines independently also predicted the secondary outcomes (HF hospitalisation and death). Importantly, B-line addition to NYHA class and BNP was associated with improved risk classification (integrated discrimination improvement 15%, P = 0.02; continuous net reclassification improvement 65%, P = 0.03).

Congestion is one of the main predictors of poor patient outcome in patients with heart failure. However, congestion is difficult to assess, especially when symptoms are mild. Although numerous clinical scores, imaging tools, and biological tests are available to assist physicians in ascertaining and quantifying congestion, not all are appropriate for use in all stages of patient management. In recent years, multidisciplinary management in the community has become increasingly important to prevent heart failure hospitalizations. Electronic alert systems and communication platforms are emerging that could be used to facilitate patient home monitoring that identifies congestion from heart failure decompensation at an earlier stage. This paper describes the role of congestion detection methods at key stages of patient care: pre-admission, admission to the emergency department, in-hospital management, and lastly, discharge and continued monitoring in the community. The multidisciplinary working group, which consisted of cardiologists, emergency physicians, and a nephrologist with both clinical and research backgrounds, reviewed the current literature regarding the various scores, tools, and tests to detect and quantify congestion. This paper describes the role of each tool at key stages of patient care and discusses the advantages of telemedicine as a means of providing true integrated patient care.