Emergencias
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Letter Review Case Reports
Diffuse alveolar hemorrhage induced by inhalation of chemicals: a case report and review of the literature.
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Multicenter Study Observational Study
Early assessment of patients with COVID-19 and dyspnea using lung ultrasound scoring.
The main objective was to evaluate the precision of the Modified Lung Ultrasound (MLUS score) for predicting the need for respiratory support in the first 48 hours in patients with dyspnea due to the coronavirus disease 2019 (COVID-19). The secondary objectives were 1) to compare the MLUS and National Early Warning Score 2 (NEWS2), as well as the combination of both scores, as predictors of severity according to the World Health Organization (WHO) Ordinal Scale for Clinical Improvement; and 2) to compare severity assessed by ultrasound scoring to severity assessed by lung computed tomography (CT). ⋯ An early lung ultrasound score can predict clinical severity in patients with dyspnea due to COVID-19.
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Observational Study
Potential capacity of an emergency dispatch center to predict COVID-19-related hospital and intensive care unit admissions.
To analyze the association between the perceived care demand in the emergency call center of Castilla La Mancha (and hospital and ICU admissions for COVID-19, as well as their temporal characteristics, to explore its potential capacity as a predictive tool for COVID hospital admissions. ⋯ We have found an association between the number of calls to a CCUE due to dyspnea, fever, general discomfort, diarrhea and the number of calls with hospital admissions and ICU for COVID-SARS-2 2 weeks in advance, mainly due to general discomfort and diarrhea. The design of predictive expert systems and their automation using artificial intelligence could be part of the preparation, planning and anticipation programs of health systems in the near future in the event of future pandemics.