ABSTRACT
Introduction: Risk-taking behaviors may manifest in multiple ways, including disregarding public health recommendations. In the context of a pandemic, ignoring those recommendations may have devastating consequences for individuals, households, communities, and the healthcare system. Objective: The purpose of this study was to develop and validate a measure of COVID-related risk-taking (CrRT). Methodology: We investigated CrRT in 318 undergraduate students recruited from a Canadian university. With exploratory factor analysis (EFA), we identified a two-factor structure of CrRT: social non-avoidance and personal protection non-compliance, which is consistent with other related studies. Our scale was validated with results from multiple regression analyses showing that younger age, lower risk perception, lower stress, non-planning, and greater risk tolerance significantly predicted public health risk-taking behaviors, also validated by previous work. Results: Results from our study support the CrRT as a valid and reliable measure of pandemic-specific risk-taking. Conclusion: The CrRT may be of use to other researchers and clinicians as this pandemic continues to evolve and new ones occur.
ABSTRACT
SESSION TITLE: Biological Markers in Patients with COVID-19 Posters SESSION TYPE: Original Investigation Posters PRESENTED ON: 10/18/2022 01:30 pm - 02:30 pm PURPOSE: In December 2019, a disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) resulted in a global pandemic. The literature has been slowly growing in the subgroup of pregnant women but the metabolic derangements of pregnancy and SARS-CoV-2 have not been well described. METHODS: In this case series, we review 9 patients with severe SARS-CoV-2 infections admitted to the medical ICU at a single institution between 2020-2022, during the delta variant wave. RESULTS: Of the nine critically ill patients, the mean age was 32 ± 6.4 years with fetal age on admission of 27 ±2.81 weeks and 29 ±2.91 weeks at delivery. Average CRP of 114 ± 25 mg/L. In eight of 9 patients (89%), there was an anion gap metabolic acidosis (AGMA) on admission. The average albumin-corrected anion gap was 18±1.93. 75% of patients had mild ketonuria based on urinalysis. However, 50% had documented symptoms of nausea, vomiting, or diarrhea. While betahydroxybutyrate was checked in 2 patients, neither were abnormal. One had lactic acidosis, but none required vasopressors at time of identification. No renal failure or diabetes was noted and only two had abnormal glucose tolerance tests. At delivery, average PEEP was 10± 4 cmH2O with an average respiratory rate of 28 ± 4 breaths per minute. All patients with AGMA delivered early resulting in preterm delivery. 75% of the fetuses showed signs of distress at the time of delivery, which was the primary indication for delivery in 37.5% of deliveries. 37.5% of deliveries were due to significant maternal hypoxia. The only patient without AGMA did not deliver early. CONCLUSIONS: After excluding renal failure, toxin ingestion, and lactic acidosis, only ketosis can weakly explain the AGMA. There have been several studies that highlighted the association between COVID and ketone production. In pregnancy, placental production of glucagon and human placental lactogen and subsequent insulin resistance increases susceptibility to ketosis. A recent study posited that COVID could cause placental abnormalities. Therefore, pregnant women may be more susceptible to significant ketosis because of COVID infection. In one of our cases, the combination of hypoxia and acidosis could not be managed safely by the ventilator and resulted in early delivery. CLINICAL IMPLICATIONS: Ketosis and an elevated anion gap could be a marker for more severe outcomes in pregnant patients with COVID. This case series highlights the challenges of managing the metabolic demands of critically ill pregnant patients infected with SARS-CoV-2. DISCLOSURES: No relevant relationships by Calli Bertschy no disclosure on file for Joey Carlin;No relevant relationships by Jessica Ehrig No relevant relationships by Shekhar Ghamande no disclosure on file for Jordan Gray;No relevant relationships by Abirami Subramanian