Mental health impact of COVID-19 in frontline healthcare workers in a Belgian Tertiary care hospital: a prospective longitudinal study.

OBJECTIVES: A prospective longitudinal single-centre study to assess the mental health impact of COVID-19 on nurses working in the frontline during the first wave of COVID-19 hospitalizations in Belgium, 2020. PATIENTS AND METHODS: The study was performed between April 1st and 30 June 2020. Nurses who were actively and daily involved in the care of COVID-19 patients on selected intensive care units (ICU) and non-ICU wards were included. Depression, somatization, anxiety and distress scores were calculated using the Four-Dimensional Symptom Questionnaire (4DSQ). The Impact of Event Scale-Revised (IES-R) and Brief-COPE questionnaires were used to assess respectively the psychological impact and coping strategies. Participants were asked to fill in the questionnaire at the start of inclusion, 4 weeks later and 8 weeks later. RESULTS: In total, 39/42 included nurses participated in the study. 4DSQ results showed low rates of depression, anxiety and somatization with a declining trend over time. Distress scores however were high throughout the study period. A past history of stress symptoms was significantly associated with higher distress scores at the inclusion and one month follow-up. As major psychological impact, more participants experienced 'intrusion' compared to 'avoidance' specifically among nurses working on ICU. In 10% of participants, IES-R-scores were predictive for post-traumatic stress disorder. CONCLUSION: Healthcare workers dealing with COVID-19 patients during the pandemic reported high and enduring distress scores and experienced a major impact on mental health, especially when employed at ICU. These results highlight the importance of psychological support and proper long-term follow-up to mitigate this impact.

Differentiating influenza from COVID-19 in patients presenting with suspected sepsis.

There is a need for a quick assessment of severely ill patients presenting to the hospital. The objectives of this study were to identify clinical, laboratory and imaging parameters that could differentiate between influenza and COVID-19 and to assess the frequency and impact of early bacterial co-infection. A prospective observational cohort study was performed between February 2019 and April 2020. A retrospective cohort was studied early in the COVID-19 pandemic. Patients suspected of sepsis with PCR-confirmed influenza or SARS-CoV-2 were included. A multivariable logistic regression model was built to differentiate COVID-19 from influenza. In total, 103 patients tested positive for influenza and 110 patients for SARS-CoV-2, respectively. Hypertension (OR 6.550), both unilateral (OR 4.764) and bilateral (OR 7.916), chest X-ray abnormalities, lower temperature (OR 0.535), lower absolute leukocyte count (OR 0.857), lower AST levels (OR 0.946), higher LDH (OR 1.008), higher ALT (OR 1.044) and higher ferritin (OR 1.001) were predictive of COVID-19. Early bacterial co-infection was more frequent in patients with influenza (10.7% vs. 2.7%). Empiric antibiotic usage was high (76.7% vs. 84.5%). Several factors determined at presentation to the hospital can differentiate between influenza and COVID-19. In the future, this could help in triage, diagnosis and early management. Clinicaltrial.gov Identifier: NCT03841162.

Risk factors for mortality in hospitalized patients with COVID-19 at the start of the pandemic in Belgium: a retrospective cohort study.

BACKGROUND: Belgium was among the first countries in Europe with confirmed coronavirus disease 2019 (COVID-19) cases. Since the first diagnosis on February 3rd, the epidemic has quickly evolved, with Belgium at the crossroads of Europe, being one of the hardest hit countries. Although risk factors for severe disease in COVID-19 patients have been described in Chinese and United States (US) cohorts, good quality studies reporting on clinical characteristics, risk factors and outcome of European COVID-19 patients are still scarce. METHODS: This study describes the clinical characteristics, complications and outcomes of 319 hospitalized COVID-19 patients, admitted to a tertiary care center at the start of the pandemic in Belgium, and aims to identify the main risk factors for in-hospital mortality in a European context using univariate and multivariate logistic regression analysis. RESULTS: Most patients were male (60%), the median age was 74 (IQR 61-83) and 20% of patients were admitted to the intensive care unit, of whom 63% needed invasive mechanical ventilation. The overall case fatality rate was 25%. The best predictors of in-hospital mortality in multivariate analysis were older age, and renal insufficiency, higher lactate dehydrogenase and thrombocytopenia. Patients admitted early in the epidemic had a higher mortality compared to patients admitted later in the epidemic. In univariate analysis, patients with obesity did have an overall increased risk of death, while overweight on the other hand showed a trend towards lower mortality. CONCLUSIONS: Most patients hospitalized with COVID-19 during the first weeks of the epidemic in Belgium were admitted with severe disease and the overall case fatality rate was high. The identified risk factors for mortality are not easily amenable at short term, underscoring the lasting need of effective therapeutic and preventative measures.