Multiple approaches at admission based on lung ultrasound and biomarkers improves risk identification in COVID-19 patients

Background: Risk stratification of COVID-19 patients is fundamental to improving prognosis and selecting the right treatment. We hypothesized that a combination of lung ultrasound (LUZ-score), biomarkers (sST2), and clinical models (PANDEMYC score) could be useful to improve risk stratification. Methods: This was a prospective cohort study designed to analyze the prognostic value of lung ultrasound, sST2, and PANDEMYC score in COVID-19 patients. The primary endpoint was in-hospital death and/or admission to the intensive care unit. The total length of hospital stay, increase of oxygen flow, or escalated medical treatment during the first 72 h were secondary endpoints. Results: a total of 144 patients were included; the mean age was 57.5 ± 12.78 years. The median PANDEMYC score was 243 (52), the median LUZ-score was 21 (10), and the median sST2 was 53.1 ng/mL (30.9). Soluble ST2 showed the best predictive capacity for the primary endpoint (AUC = 0.764 (0.658–0.871); p = 0.001), towards the PANDEMYC score (AUC = 0.762 (0.655–0.870); p = 0.001) and LUZ-score (AUC = 0.749 (0.596–0.901); p = 0.002). Taken together, these three tools significantly improved the risk capacity (AUC = 0.840 (0.727–0.953); p = 0.001). Conclusions: The PANDEMYC score, lung ultrasound, and sST2 concentrations upon admission for COVID-19 are independent predictors of intra-hospital death and/or the need for admission to the ICU for mechanical ventilation. The combination of these predictive tools improves the predictive power compared to each one separately. The use of decision trees, based on multivariate models, could be useful in clinical practice. © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/)

Lack of clinical usefulness of interleukin-6 in long-term follow-up of acutely decompensated heart failure

ABSTRACT Introduction: Interleukin-6 (IL -6) has been identified as a predictor of death, new heart failure (HF) episodes and need for heart transplantation in patients with advanced HF. The aim of this study was to examine th

Unidad de Igualdad del Instituto de Carboquímica

Póster presentado en el 2º Encuentro de Grupos de Igualdad de Centros del CSIC, que tuvo lugar el 17 de noviembre de 2021, organizado por el Instituto de Física Teórica (IFT UAM-CSIC), en coordinación con la Comisión Delegada de Igualdad y la Comisión Mujeres y Ciencia del CSIC, y celebrado en el Centro de Física Teórica y Matemáticas (CFTMAT), localizado en el Campus de Excelencia UAM+CSIC en Madrid.UNIDAD DE IGUALDAD DEL INSTITUTO DE CARBOQUÍMICA: Aprobación en Junta de Instituto en Abril 2021. Presentación actividades hasta noviembre 2021.Peer reviewe