This study aimed to evaluate the effect of the COVID-19 outbreak on emergencies and pain among orthodontic patients attending a teaching hospital. The study was conducted among orthodontic patients receiving active orthodontic treatment or in a retention period at the College of Dentistry, University of Baghdad, Iraq. Their participation was voluntary, and they filled out an Arabic-translated questionnaire. The survey included general information, orthodontic problems, and a numerical rating scale for pain assessment. We used descriptive and inferential statistics (frequencies and intersecting frequencies), chi-square test and linear regression. Out of 75 orthodontic patients, only 54 (15 males and 39 females) were included in the study. The most encountered orthodontic problem was broken or movable bracket (55.6%), followed by long pocking wire 35.2%. In addition, 55.6% of the participants preferred to wait for the next appointment to see their orthodontist, and only 5.6% tried to treat the problem personally. There was no significant relationship between pain level, gender and age, whereas a strong significant association was found between pain intensity and orthodontic problems or emergencies. COVID-19 had a negative impact on orthodontic follow-up visits. The intensity of pain was strongly correlated with orthodontic problems or emergencies. Therefore, more attention should be given to patients, focusing on teaching them how to manage orthodontic emergencies during situations such as an outbreak.
Background: The spleen is the most common solid
organ injured in patients who had sustained abdominal
trauma. Such injuries to the spleen represent
approximately one quarter of all blunt injuries of the
abdominal viscera.
Due to its remarkable vasculature and its fragile
structure, splenic rupture is the most widespread cause
of intra-abdominal hemorrhage.
Objective: To assess the magnitude of splenic injury,
the management of splenic injury, and to evaluate the
postoperative complications.
Methods: A prospective study of 57 cases of splenic
injury was performed in Al-Kadhimiya Teaching
Hospital during the period between the 1st of October
2004 and the 1st of October 2006. Statistical analysis
The research aims to explain the role of the flexible budget in assessing the feedback resulting from deviations by comparing the actual results with the planned performance in light of the economic crisis that the world witnessed during the spread of Corona disease. As most companies, including the Electronic Industries Company, face the problem of controlling production costs and are trying hard to reduce these costs to the lowest level starting from measuring these costs and allocating them and distributing them to products. This helps in controlling deviations and thus the flexible budget becomes a tool that helps in controlling elements Costs
BACKGROUND: The number of coronavirus disease-19 (COVID-19) positive patients and fatalities keeps rising. It is important to recognize risk factors for severe outcomes. Evidence linking vitamin D deficiency and the severity of COVID-19 is tangential but substantial – relating to race, obesity, and institutionalization. OBJECTIVE: This study aims to examine the function of vitamin D and nutritional defense against infections such as COVID-19, which is the goal of this research. METHODS: This study includes observational cohort, cross-sectional, and case-control studies that estimated variances in serum levels of vitamin D among patients with mild or severe forms of COVID-19, and in patients who died or were discharged from hospit
... Show MoreCOVID 19 has spread rapidly around the world due to the lack of a suitable vaccine; therefore the early prediction of those infected with this virus is extremely important attempting to control it by quarantining the infected people and giving them possible medical attention to limit its spread. This work suggests a model for predicting the COVID 19 virus using feature selection techniques. The proposed model consists of three stages which include the preprocessing stage, the features selection stage, and the classification stage. This work uses a data set consists of 8571 records, with forty features for patients from different countries. Two feature selection techniques are used in