Host genetics and COVID-19 severity: increasing the accuracy of latest severity scores by Boolean quantum features

The impact of common and rare variants in COVID-19 host genetics has been widely studied. In particular, in Fallerini et al. (Human genetics, 2022, 141, 147–173), common and rare variants were used to define an interpretable machine learning model for predicting COVID-19 severity. First, variants were converted into sets of Boolean features, depending on the absence or the presence of variants in each gene. An ensemble of LASSO logistic regression models was used to identify the most informative Boolean features with respect to the genetic bases of severity. After that, the Boolean features, selected by these logistic models, were combined into an Integrated PolyGenic Score (IPGS), which offers a very simple description of the contribution of host genetics in COVID-19 severity.. IPGS leads to an accuracy of 55%–60% on different cohorts, and, after a logistic regression with both IPGS and age as inputs, it leads to an accuracy of 75%. The goal of this paper is to improve the previous results, using not only the most informative Boolean features with respect to the genetic bases of severity but also the information on host organs involved in the disease. In this study, we generalize the IPGS adding a statistical weight for each organ, through the transformation of Boolean features into “Boolean quantum features,” inspired by quantum mechanics. The organ coefficients were set via the application of the genetic algorithm PyGAD, and, after that, we defined two new integrated polygenic scores (IPGSph1 and IPGSph2). By applying a logistic regression with both IPGS, (IPGSph2 (or indifferently IPGSph1) and age as inputs, we reached an accuracy of 84%–86%, thus improving the results previously shown in Fallerini et al. (Human genetics, 2022, 141, 147–173) by a factor of 10%

Working conditions for healthcare workers at a Swedish university hospital infectious disease department during the COVID-19 pandemic: barriers and facilitators to maintaining employee wellbeing

BackgroundHealthcare workers (HCWs) at infectious disease departments have held the frontline during the COVID-19 pandemic. This study aimed to identify barriers and facilitators to maintaining the employees’ wellbeing that may be used to increase preparedness for future pandemics within ID Departments.MethodsIn September 2020, a web-based survey on demographics and work environment was distributed to all HCWs at the Infectious Disease Department at Sahlgrenska University Hospital. Results were compared with a pre-COVID-19 survey from October 2019. A quantitative analysis of the overall effects of the pandemic on the working conditions of HCWs was conducted; in addition, a qualitative content analysis of open-ended responses was performed.ResultsIn total, 222 and 149 HCWs completed the pre-COVID-19 and COVID-19 surveys (84 and 54% response rate), respectively. Overall, we found significant changes regarding increased workload, lack of emotional support in stressful work situations, and inability to recover after shifts. These factors correlated both with younger age and concern of becoming infected. The open-ended answers (n = 103, 69%) revealed five generic categories (Workload; Organizational support; Worry and ethical stress; Capability; and Cooperation and unity) with a total of 14 identified factors representing plausible individual and organizational-level barriers or facilitators to sustained employee wellbeing.ConclusionYounger HCWs as well as those expressing worries about contracting the infection were found to be particularly affected during the COVID-19 pandemic and these groups may require additional support in future outbreaks. Factors both increasing and decreasing the pandemic-induced negative health consequences for HCWs were identified; this knowledge may be utilized in the future

Resilience Capability and Capacity in Unexpected Crises: Experiences and Lessons Learned in a Healthcare Organisation during the COVID-19 Pandemic

Aim. The current article aims to gain insight into (a) what characterises organisational resilience during an unexpected crisis such as COVID-19 and (b) how organisations respond to developments in their environments. Background. In times of societal crises, such as the COVID-19 pandemic, the resilience of the healthcare organisation is tested. Method. This research is based on a case study in a university hospital and a county hospital in Sweden using surveys with both structured and open answers. Results. The result shows ambiguity and “polarised” experiences, emphasising flexibility vs. structure, clear hierarchical information vs. spaces for peer learning through dialogue, and focus on acute care vs. determination to continue with core operations. Conclusion. The article concludes that the pandemic resulted in paradoxes, tensions, and new experiences in organisational processes and interactions. These create opportunities for learning not only during crises but also for improving nursing management in both acute and planned care. Three relations are important in building organisational resilience in crises: resilience capability, resilience capacity, and sustainable resilience practices. Implications for Nursing Management. Organisational resilience under extraordinary circumstances, such as a pandemic, as well as enhancing the previous literature on nursing management that offer a more individually oriented perspective