ABSTRACT
Objective: Evaluate the impact of real life use of remdesivir (RDV) as treatment for hypoxemic SarsCoV2 Pneumonia. Method(s): Of 1155 consecutive adult subjects hospitalised with SarsCov2 infection, we selected only those with cumulative evidence of: 1. positive PCR test;2. Radiologically confirmed pneumonia;3. Hypoxemia and need of supplementary O2 (>= 24%). We compared those treated with RDV versus those receiving Standard of Care (SoC), in terms of mortality, length of hospital stay and secondary effects of treatment. Result(s): 843 subjects were treated with RDV and 312 with SoC. In the RDV group, 97.1% patients were also receiving Dexamethasone (DEXA) and mean age was 69.7 (+/-14.4) years with 61.8% male prevalence, as opposed to the SoC group that registered 73.9 (+/-14.5) years and 49.7% male prevalence. Both groups had similar prevalence of Diabetes, Hypertension and Chronic Lung Disease;Overweight was more prevalent in the RDV group whereas Immunosuppressant conditions and Smoking were more frequent in the SoC subjects. Concerning the proposed outcomes: a) RDV patients had a mean Hospital Stay 4.25 days inferior than SOC subjects (p=0.002);b)The relative risk of death during hospital stay in the RDV group was 0.47 [0.38;0.60] when compared to those in the SoC group;c) 9 subjects in the SoC group (0.03%) and 12 patients in the RDV group (0.014%) had secondary effects attributable to treatment drugs, all resolved with treatment interruption. Conclusion(s): The use of RDV with DEXA in SARSCoV-2 Hypoxemic Pneumonia significantly reduced mortality and hospital stay, and registered no significant side effects in a real life cohort of consecutively enrolled patients.
ABSTRACT
Optimizing the configuration of a microgrid allows to reduce energy losses and costs. Due to the new demand profile that emerged with the covid-19 pandemic with remote work, it is important to study its impact on the dimensioning of a microgrid, as well as the way in which renewable resources are distributed and dimensioned, in order to promote its use. Thus, this paper aims to propose the optimal configuration of distributed energy resources that meet two scenarios, pre-pandemic and post-pandemic, of electricity demand in a household in Salvador, Brazil. Therefore, an optimization problem was formulated in GAMS using environmental data and electricity demand, as well as the costs involved in the implementation and operation of the system, considering the resources of solar, wind and biogas energy. There was a change in the post-pandemic scenario, with the tendency to increase the use of solar energy, due to the demand being distributed throughout the day. It was observed for both scenarios that biogas energy had the greatest participation in domestic energy generation, followed by solar and wind energy. Therefore, the use of biogas in combination with other renewable resources can minimize costs and, at the same time, meeting the energy demand of a residence. In addition, this contributes to the environmental and economic sustainability of the region, as consumers begin to produce their own energy using renewable resources. © 2021 IEEE