Your browser doesn't support javascript.
loading
Show: 20 | 50 | 100
Results 1 - 2 de 2
Filter
Add more filters

Database
Language
Affiliation country
Publication year range
1.
Am J Emerg Med ; 49: 100-103, 2021 11.
Article in English | MEDLINE | ID: mdl-34098327

ABSTRACT

INTRODUCTION: The initial surge of critically ill patients in the COVID-19 pandemic severely disrupted processes at acute care hospitals. This study examines the frequency and causes for patients upgraded to intensive care unit (ICU) level care following admission from the emergency department (ED) to non-critical care units. METHODS: The number of ICU upgrades per month was determined, including the percentage of upgrades noted to have non-concordant diagnoses. Charts with non-concordant diagnoses were examined in detail as to the ED medical decision-making, clinical circumstances surrounding the upgrade, and presence of a diagnosis of COVID-19. For each case, a cognitive bias was assigned. RESULTS: The percentage of upgraded cases with non-concordant diagnoses increased from a baseline range of 14-20% to 41.3%. The majority of upgrades were due to premature closure (72.2%), anchoring (61.1%), and confirmation bias (55.6%). CONCLUSION: Consistent with the behavioral literature, this suggests that stressful ambient conditions affect cognitive reasoning processes.


Subject(s)
COVID-19 , Decision Making, Organizational , Pandemics , Surge Capacity/organization & administration , Cognition , Critical Care , Critical Illness , Emergency Service, Hospital , Humans , Intensive Care Units , Retrospective Studies , Tertiary Care Centers
2.
West J Emerg Med ; 22(3): 580-586, 2021 Apr 02.
Article in English | MEDLINE | ID: mdl-34125030

ABSTRACT

INTRODUCTION: As of October 30, 2020, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has infected over 44 million people worldwide and killed over 1.1 million people. In the emergency department (ED), patients who need supplemental oxygen or respiratory support are admitted to the hospital, but the course of normoxic patients with SARS-CoV-2 infection is unknown. In our health system, the policy during the coronavirus 2019 (COVID-19) pandemic was to admit all patients with abnormal chest imaging (CXR) regardless of their oxygen level. We also admitted febrile patients with respiratory complaints who resided in congregate living. We describe the rate of decompensation among patients admitted with suspected SARS-CoV-2 infection but who were not hypoxemic in the ED. METHODS: This is a retrospective observational study of patients admitted to our health system between March 1-May 5, 2020 with suspected SARS-CoV-2 infection. We queried our registry to find patients who were admitted to the hospital but had no recorded oxygen saturation of <92% in the ED and received no supplemental oxygen prior to admission. Our primary outcome was decompensation at 72 hours, defined by the need for respiratory support (oxygen, high-flow nasal cannula, non-invasive ventilation, or intubation). RESULTS: A total of 840 patients met our inclusion criteria. Of those patients, 376 (45%) tested positive for SARS-CoV-2. Sixty patients (7.1%) with suspected COVID-19 required respiratory support at 72 hours including 27 (3%) of confirmed SARS-CoV-2 positive patients. Among the 376 patients who tested positive for SARS-CoV-2, 54 patients (14%) had normal CXR in the ED. One-third of patients with normal CXRs decompensated at 72 hours. Seven SARS-CoV-2 positive patients in our cohort died during their hospitalization, of whom five had normal CXRs on admission. CONCLUSION: Sixty (7.1%) of suspected COVID-19 patients hospitalized at 72 hours required respiratory support despite being normoxic in the ED. Further research should look to identify the normoxic SARS-CoV-2 patients at risk for decompensation.


Subject(s)
COVID-19/diagnosis , Emergency Service, Hospital/statistics & numerical data , Oxygen/blood , Respiration, Artificial/statistics & numerical data , COVID-19/epidemiology , COVID-19/therapy , Disease Progression , Female , Hospitalization/statistics & numerical data , Humans , Male , Middle Aged , Pandemics , Registries , Retrospective Studies , SARS-CoV-2
SELECTION OF CITATIONS
SEARCH DETAIL