Analysis on Related Factors of Hospitalization Days of Patients with Novel Coronavirus Pneumonia in Fangcang Shelter Hospitals

Objective:To study the factors influencing the length of stay in patients with COVID-19.Methods:The clinical data of 110 patients with COVID-19 who were infected with Omicron virus for more than 10 days from April to May 2022 were collected.Their gender,age,smoking status,clinical manifestations related to pneumonia,whether they were combined with other basic diseases and vaccination status were analyzed.The above influencing factors were analyzed by single factor regression analysis,followed by Cox regression model analysis.Results:The age of patients had an effect on the length of hospital stay.The median length of hospital stay of patients that are<50 years old,50-64 years old and≥65 years old were 14,14,and 17 days respectively(χ^(2)=9.346,P=0.009).The presence of coronavirus-related symptoms also affects the length of hospital stay(χ^(2)=4.840,P=0.028).The results of multivariate regression model showed that age(χ^(2)=8.669,P=0.006)and coronavirus-related symptoms(χ^(2)=5.424,P=0.020)were independent factors affecting the length of hospital stay.Conclusion:During the development of COVID-19,the age of patients and whether they have coronavirus-related symptoms are positively correlated with the length of stay.Gender,habit of smoking,presence of other basic diseases and vaccination are not related to the length of stay.

Association between Air Cane Field Burning Pollution and Respiratory Diseases:A Bayesian Approach

Respiratory diseases and air pollution are the goals of many scientific works, but studies of the relations between these diseases and cane field burning pollution are still not well studied in the literature. In this work, we consider the times between days of extrapolations of the number of daily hospitalizations due to respiratory diseases as our data. To analyze this data set, we introduce different statistical models related to burning focus pollution and their relations with the counting of hospitalizations due to respiratory diseases. Under a Bayesian approach and with the help of the free available WinBUGS software, we get posterior summaries of interest using standard MCMC (Markov Chain Monte Carlo) methods.

Psychiatric Day Hospital and Its Impact on Patients Clinical Stability: The Reality of Faro (Portugal) Unit

Psychiatric Day Hospitals are alternatives to classic hospitalization, staying in an intermediate position between full-time hospitalization and outpatient treatment. The main purpose of this work was to investigate the impact of the therapeutic program developed in a Psychiatric Day Hospital (of Faro-Portugal) on the clinical stability of the patients. It is a descriptive-correlational retrospective study, implemented through the consultation of the SCLINIC computer platform regarding the years 2015, 2016 and 2017. The records of 127 users were analysed. There was a predominance of mood disorders (n = 55;43.3%), followed by schizophrenia, schizotypal and delusional disorders (n = 43, 33.9%). The majority of patients had a structured occupational plan after discharge (n = 106, 83.46%). In the year following the frequency of Day Hospital, compared to the year prior to admission, there was a reduction in the number of full-time hospitalizations, outpatient visitations/consultations, prescribed drugs and emergency episodes, with statistically significant differences. The positive impact of the frequency of Day Hospital had on patients’ clinical stability was the improvement in all studied variables. The Psychiatric Day Hospital of Faro-Portugal contributes to decreasing the number of full time hospitalizations, outpatient visitations/consultations and emergency episodes, maintaining patients’ clinical stability and reducing the public financial costs related to their therapeutic intervention.