Local guidelines for drug treatment of patients with COVID-19

COVID-19 is defined as a respiratory infection which is spread by droplets and immediate contact with an infected person. The first case of COVID-19 infection in Serbia was reported on March 6th, 2020. Herein, we present the case of confirmed COVID-19 infection in a previously healthy man, whose three other family members showed mild symptoms of coronavirus disease, without the need for hospitalization. The patient was treated at the tertiary medical center, four days after the onset of symptoms. During the hospitalization, he developed serious complications and fatal outcome. In this case, hypoxia-induced cardiac arrest was secondary to severe COVID-19 pneumonia with the development of acute respiratory distress syndrome and sepsis. Laboratory and flow cytometry results indicate the presence of the cytokine storm, while the mechanical ventilation might potentially increase the risk of lethal outcome. This case report is important because it should give clinicians the insight into the treatment of the previously healthy individuals with COVID-19, especially in terms of possible laboratory markers that could indicate the presence of the cytokine storm phenomenon.

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Lethal Outcome in a Healthy Man Infected with COVID-19

Opančina

Sazdanović

Baskić

et al. 2020

Serbian Journal of Experimental and Clinical Research

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Epidemiological Predictive Modeling of COVID-19 Infection: Development, Testing, and Implementation on the Population of the Benelux Union

Šušteršič

Blagojevic

Cvetković

et al. 2021

Front. Public Health

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Since the outbreak of coronavirus disease-2019 (COVID-19), the whole world has taken interest in the mechanisms of its spread and development. Mathematical models have been valuable instruments for the study of the spread and control of infectious diseases. For that purpose, we propose a two-way approach in modeling COVID-19 spread: a susceptible, exposed, infected, recovered, deceased (SEIRD) model based on differential equations and a long short-term memory (LSTM) deep learning model. The SEIRD model is a compartmental epidemiological model with included components: susceptible, exposed, infected, recovered, deceased. In the case of the SEIRD model, official statistical data available online for countries of Belgium, Netherlands, and Luxembourg (Benelux) in the period of March 15 2020 to March 15 2021 were used. Based on them, we have calculated key parameters and forward them to the epidemiological model, which will predict the number of infected, deceased, and recovered people. Results show that the SEIRD model is able to accurately predict several peaks for all the three countries of interest, with very small root mean square error (RMSE), except for the mild cases (maximum RMSE was 240.79 ± 90.556), which can be explained by the fact that no official data were available for mild cases, but this number was derived from other statistics. On the other hand, LSTM represents a special kind of recurrent neural network structure that can comparatively learn long-term temporal dependencies. Results show that LSTM is capable of predicting several peaks based on the position of previous peaks with low values of RMSE. Higher values of RMSE are observed in the number of infected cases in Belgium (RMSE was 535.93) and Netherlands (RMSE was 434.28), and are expected because of thousands of people getting infected per day in those countries. In future studies, we will extend the models to include mobility information, variants of concern, as well as a medical intervention, etc. A prognostic model could help us predict epidemic peaks. In that way, we could react in a timely manner by introducing new or tightening existing measures before the health system is overloaded.

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Influence of COVID-19 pandemic on the intensity of anxiety in patients with mental disorders

Đukić¹,

Lalović²,

Latas³

2021

Engrami

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Introduction: There is still a great lack of results regarding research on the impact of the Kovid 19 pandemic on the mental health of psychiatric patients. Objective: Assessment of the intensity of anxiety symptoms in patients with mental disorders during the Kovid 19 pandemic. Examination of the relationship between sociodemographic and clinical characteristics of patients and the intensity of anxiety during the Kovid 19 pandemic. Method: The research was conducted as a cross-sectional study by a 65 psychiatrist tasked to examin their 40 consecutive patients who had already been diagnosed with a psychiatric disorder using three assessment tools: a sociodemographic questionnaire, a clinical questionnaire and a GAD-7 to assess anxiety symptoms. Results: The sample consisted of 1,785 patients. The average value of GAD-7 score was 12.6 (SD = 4.4) and 78.2% of patients had an anxiety intensity greater than or equal to 10. Statistical analysis showed a significant difference in scores on the GAD-7 among groups of subjects who differed in some socio-demographic factors (employment, region), while such a difference was not observed in respondents who differed in gender, education, place of residence or marital status. Patients diagnosed with F3X or F4X diagnoses (mood disorders and neurotic, stressful and body manifest disorders) have the greatest anxiety, but this difference does not reach statistical significance. When asked from the Questionnaire: "During the Kovid pandemic, what worries you the most?", most respondents chose the answer: "That I or someone in the family will get sick", but respondents with the highest level of anxiety said they were worried about "something else". Conclusion: Research has shown that according to the self-assessment of their symptoms, anxiety is present in more than half of the psychiatric patients examined during the Kovid 19 pandemic. Further research in this area is needed to gain a more detailed picture basis for developing more suitable protocols for their treatment.

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Local guidelines for drug treatment of patients with COVID-19

Cited by 3 publications

References 8 publications

Lethal Outcome in a Healthy Man Infected with COVID-19

Lethal Outcome in a Healthy Man Infected with COVID-19

Epidemiological Predictive Modeling of COVID-19 Infection: Development, Testing, and Implementation on the Population of the Benelux Union

Influence of COVID-19 pandemic on the intensity of anxiety in patients with mental disorders

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