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Background: Congestion is an essential issue in patients with heart failure (HF). Standard treatments do not usually achieve decongestion, and various strategies have been proposed to guide treatment, such as determination of natriuresis. After starting treatment with loop diuretics, we postulate that initial natriuresis might help treatment titration, decongestion, and improve prognosis. Methods: It was a prospective and observational study. Patients admitted with the diagnosis of HF decompensation were eligible. An assessment of congestion was performed during the first 48 h. Results: A total of 113 patients were included. A poor diuretic response was observed in 39.8%. After the first 48 h, patients with a greater diuretic response on admission (NaU > 80 mmol/L) showed fewer pulmonary b lines (12 vs. 15; p = 0.084), a lower IVC diameter (18 mm vs. 22 mm; p = 0.009), and lower IAP figures (11 mmHg vs. 13 mmHg; p = 0.041). Survival analysis tests demonstrated significant differences showing a higher proportion of all-cause mortality (ACM) and HF rehospitalization in the poor-diuretic-response group (log-rank test = 0.020). Conclusions: Up to 40% of the patients presented a poorer diuretic response at baseline, translating into worse outcomes. Patients with an optimal diuretic response showed significantly higher abdominal decongestion at 48 h and a better prognosis regarding ACM and/or HF rehospitalizations. [ABSTRACT FROM AUTHOR]

Background: Lung ultrasound is feasible for assessing lung injury caused by coronavirus disease 2019 (COVID-19). However, the prognostic meaning and time-line changes of lung injury assessed by lung ultrasound in COVID-19 hospitalised patients are unknown., Methods: Prospective cohort study designed to analyse prognostic value of lung ultrasound in COVID-19 patients by using a quantitative scale (lung ultrasound Zaragoza (LUZ)-score) during the first 72 h after admission. The primary end-point was in-hospital death and/or admission to the intensive care unit. Total length of hospital stay, increase of oxygen flow and escalation of medical treatment during the first 72 h were secondary end-points., Results: 130 patients were included in the final analysis; mean±sd age was 56.7±13.5 years. Median (interquartile range) time from the beginning of symptoms to admission was 6 (4-9) days. Lung injury assessed by LUZ-score did not differ during the first 72 h (21 (16-26) points at admission versus 20 (16-27) points at 72 h; p=0.183). In univariable logistic regression analysis, estimated arterial oxygen tension/inspiratory oxygen fraction ratio (PAFI) (hazard ratio 0.99, 95% CI 0.98-0.99; p=0.027) and LUZ-score >22 points (5.45, 1.42-20.90; p=0.013) were predictors for the primary end-point., Conclusions: LUZ-score is an easy, simple and fast point-of-care ultrasound tool to identify patients with severe lung injury due to COVID-19, upon admission. Baseline score is predictive of severity along the whole period of hospitalisation. The score facilitates early implementation or intensification of treatment for COVID-19 infection. LUZ-score may be combined with clinical variables (as estimated by PAFI) to further refine risk stratification., Competing Interests: Conflict of interest: J. Rubio-Gracia has nothing to disclose. Conflict of interest: I. Giménez-López has nothing to disclose. Conflict of interest: V. Garcés-Horna has nothing to disclose. Conflict of interest: D. López-Delgado has nothing to disclose. Conflict of interest: J.L. Sierra-Monzón has nothing to disclose. Conflict of interest: L. Martínez-Lostao has nothing to disclose. Conflict of interest: C. Josa-Laorden has nothing to disclose. Conflict of interest: F. Ruiz-Laiglesia has nothing to disclose. Conflict of interest: J.I. Pérez-Calvo has nothing to disclose. Conflict of interest: S. Crespo-Aznarez has nothing to disclose. Conflict of interest: J. García-Lafuente has nothing to disclose. Conflict of interest: N. Peña-Fresneda has nothing to disclose. Conflict of interest: B. Amores Arriaga has nothing to disclose. Conflict of interest: B. Gracia-Tello has nothing to disclose. Conflict of interest: M. Sánchez-Marteles has nothing to disclose., (Copyright ©The authors 2021.)