Articles: emergency-services.
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Multicenter Study
Impact of coronavirus disease 2019 (COVID-19) emergency on Italian radiologists: a national survey.
To perform an online survey aimed at evaluating the impact of COVID-19 on Italian radiology departments. ⋯ • More than two-thirds of institutions had trouble getting PPE for health workers, with public hospitals and southern institutions that presented more procurement problems • A substantial drop of imaging volumes was observed in the vast majority of Italian radiology departments, mostly due to the decrease of ultrasound, mammography, and MRI, especially in private practice were working activity was stopped in 13.3% of institutions • RT-PCR swab to health workers was reported as the most suggested measure by Italian radiologists to improve safety at work, as more than 80% of them believed that it should be performed to all health workers, although less than 30% were subjected to this test.
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Multicenter Study
Management of cardiovascular emergencies during the COVID-19 pandemic.
It has been reported that patients attending the emergency department with other pathologies may not have received optimal medical care due to the lockdown measures in the early phase of the COVID-19 pandemic. ⋯ The COVID-19 pandemic has led to delays in patients seeking care for cardiac problems and also affected the use of optimum therapy in our institutions.
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Long lengths of stay (also called waiting times) in emergency departments (EDs) are associated with higher patient mortality and worse outcomes. ⋯ These results suggest that tackling patient flow and capacity in the wider hospital, particularly very high bed occupancy levels and patient discharge, is important to reduce ED waiting times and improve patient outcomes.
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Emergency radiology · Dec 2020
Multicenter StudyChest CT for triage during COVID-19 on the emergency department: myth or truth?
We aimed to investigate the diagnostic performance of chest CT compared with first RT-PCR results in adult patients suspected of COVID-19 infection in an ED setting. We also constructed a predictive machine learning model based on chest CT and additional data to improve the diagnostic accuracy of chest CT. ⋯ Chest CT, using the CO-RADS scoring system, is a sensitive and specific method that can aid in the diagnosis of COVID-19, especially if RT-PCR tests are scarce during an outbreak. Combining a predictive machine learning model could further improve the accuracy of diagnostic chest CT for COVID-19. Further candidate predictors should be analyzed to improve our model. However, RT-PCR should remain the primary standard of testing as up to 9% of RT-PCR positive patients are not diagnosed by chest CT or our machine learning model.