Statement Of Problem: Techniques for determining occlusal vertical dimension (OVD) have limitations, including the lack of reproducibility or invasiveness. Recently, a craniometry-based predictive model comparing OVD with eye-ear distance (EED) was developed in Chile. However, this study included a specific population and excluded patients with a history of orthodontics.
View Article and Find Full Text PDFBackground: The impact of diagnosis treatment and bronchial asthma on coronavirus disease 2019 (COVID-19) associated outcomes remains unclear.
Objective: To identify the prevalence and outcomes associated with asthma among hospitalized patients with COVID-19.
Methods: Electronic health records of 130 patients with asthma among hospitalized patients with COVID-19 were reviewed.
Objective: To determine the incidence, characteristics, and risk factors of pulmonary embolism (PE) among patients hospitalized for COVID-19.
Patients And Methods: We performed a prospective observational study of a randomly selected cohort of consecutive patients hospitalized for COVID-19 infection between March 8, 2020 through April 25, 2020. All eligible patients underwent a computed tomography pulmonary angiography independently of their PE clinical suspicion and were pre-screened for a baseline elevated D-dimer level.
Statement Of Problem: Craniometry is a method of determining the occlusal vertical dimension (OVD); the current prediction models do not consider factors such as facial type and sex or normalizing the OVD by using 1 main variable.
Purpose: The purpose of this clinical study was to determine whether sex, facial type, and age can influence the creation of a predictive model by using the right or left eye-to-ear distance to determine the OVD in dentate and edentate individuals.
Material And Methods: Healthy individuals (N=385) (238 women, 147 men) aged between 18 and 50 years were classified according to sex, age, and facial type.