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Objectives To evaluate whether the Enhanced Feedback for Effective Cardiac Treatment ( EFFECT) scale for 30-day prediction of mortality is applicable to elderly adults with acute heart failure ( AHF) in emergency departments ( EDs) and whether discriminatory power is added with the inclusion of the Barthel Index ( BI) to this scale ( BI- EFFECT scale). Design BI-EFFECT is a multipurpose, nonintervention, multicenter cohort study. Setting Twenty EDs. Participants Individuals aged 65 and older with AHF. Measurements Information on baseline and episode characteristics and 30-day mortality was collected, and participants were categorized according to the EFFECT scale. Baseline degree of functional dependence was measured using the BI. Receiver operating characteristic ( ROC) curves were made of the EFFECT and BI- EFFECT scales to predict mortality. Results One thousand sixty-eight participants were included. Thirty-day mortality was 5.1% and was directly and independently associated with high and very high risk categories of the EFFECT scale and with severe dependence. These two variables remained significant after adjustment of the model for both ( OR = 4.5, 95% CI = 1.8-11.1 and OR = 2.9, 95% CI = 1.6-5.4, respectively). The EFFECT and the BI- EFFECT scales had significant ROC curves (area under the ROC curve ( AUC) = 0.69, 95% CI = from 0.62 to 0.76; and AUC = 0.75, 95% CI = 0.69-0.81, respectively), and the difference in discriminatory power between the second and the first was also statistically significant ( P = .02). Conclusion The EFFECT scale may be applied in the elderly population, and inclusion of functional status according to the BI in the new BI- EFFECT scale significantly improves the model for the prediction of 30-day mortality. [ABSTRACT FROM AUTHOR]

Objective: Changes in Public Health recommendations may have changed the number of emergency visits and COVID-19 diagnosed cases in an Emergency Department in Madrid., Methods: This retrospective case series study included all consecutive patients in a tertiary and urban ED in Madrid from 1st to 31st March. The sample was divided: NonCOVID-19, Non-investigated COVID-19, Possible COVID-19, Probable COVID-19, Confirmed COVID-19. Differences between public health periods were tested by ANOVA for each cohort, and by ANCOVA including the number of PCR tests (%) as covariate., Results: A total of 7,163 (4,071 Non-COVID-19, 563 Non-investigated COVID-19, 870 Possible, 648 Probable and 1,011 Confirmed COVID-19) cases were included. Public Health measurements applied during each period showed a clear effect on the case proportion for the five cohorts., Conclusions: The variability of case definitions and diagnostic test criteria may have impact on the number of emergency visits and COVID-19 diagnosed cases in Emergency Department., (©The Author 2020. Published by Sociedad Española de Quimioterapia. This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)(https://creativecommons.org/licenses/by-nc/4.0/).)