Medicine and Health Sciences Commons^™

Factors Associated With Improved Outcome Of Inhaled Corticosteroid Use In Covid-19: A Single Institutional Study, A. Manfra, Claire Chen, Kavita Batra, Kyaw Min Tun, Mutsumi Kioka

Internal Medicine Faculty Publications

Asthmatics seem less prone to adverse outcomes in coronavirus disease 2019 (COVID-19) and some data shows that inhaled corticosteroids (ICS) are protective. We gathered data on anecdotal ICS and outcomes of patients hospitalized with COVID-19, given there is literature supporting ICS may reduce risk of severe infection. In addition, we fill gaps in current literature evaluating Charlson Comorbidity Index (CCI) as a risk assessment tool for COVID-19. This was a single-center, retrospective study designed and conducted to identify factors associated intubation and inpatient mortality. A multivariate logistic regression model was fit to generate adjusted odds ratios (OR). Intubation was associated …

The Impact Of High-Intensity Interval Training On Vascular Function In Adults: A Systematic Review And Meta-Analysis, Mousa Khalafi, Mohammad Hossein Sakhaei, Fatemeh Kazeminasab, Michael E. Symonds, Sara K. Rosenkranz

Kinesiology and Nutrition Sciences Faculty Publications

Aim: We performed a systematic review and meta-analysis to investigate the effects of high-intensity interval training (HIIT) compared with moderateintensity continuous training (MICT) or with no exercise (CON) on vascular function in adults who were free of cardiometabolic diseases and those with cardiometabolic diseases.

Methods: A search across three electronic databases including Scopus, PubMed, and Web of Science was conducted through February 2022 to identify the randomized trials evaluating HIIT vs. MICT and/or CON on vascular function as measured using brachial artery flow-mediated dilation (FMD) in adults. Separate analyses were conducted for HIIT vs. MICT and/or CON to calculate weighted …

Artificial Intelligence In The Radiomic Analysis Of Glioblastomas: A Review, Taxonomy, And Perspective, Ming Zhu, Sijia Li, Yu Kuang, Virigina B. Hill, Amy B. Heimberger, Lijie Zhai, Shenjie Zhai

Electrical & Computer Engineering Faculty Research

Radiological imaging techniques, including magnetic resonance imaging (MRI) and positron emission tomography (PET), are the standard-of-care non-invasive diagnostic approaches widely applied in neuro-oncology. Unfortunately, accurate interpretation of radiological imaging data is constantly challenged by the indistinguishable radiological image features shared by different pathological changes associated with tumor progression and/or various therapeutic interventions. In recent years, machine learning (ML)-based artificial intelligence (AI) technology has been widely applied in medical image processing and bioinformatics due to its advantages in implicit image feature extraction and integrative data analysis. Despite its recent rapid development, ML technology still faces many hurdles for its broader applications …

1485-Pub: Assessing Correlates Of Microvascular Complications Among Patients With Diabetes Mellitus, Kenneth Izuora, Amalie Alver, Arpita Basu, Kavita Batra, Shelley J. Williams, Jeffrey L. Ebersole

Internal Medicine Faculty Publications

Background: Microvascular complications associated with diabetes (DM) are important predictors of morbidity and mortality. Understanding the factors associated with these complications is important in reducing their burden. Method: Using a cross-sectional study design, seventy-one ambulatory patients with Type 2 DM (female 60.6%, white 36.6%, mean age 64.1± 10.3 years, and mean duration of DM 15.8±9.1 years) were recruited using an investigator-administered questionnaire and chart review. Variables of demographics, smoking, HbA1c, DM duration, and complications were collected. CRP was measured and oral health status was assessed by a clinical exam. Data were analyzed using Chi-square/Fisher exact tests and binomial logistic regression …

Mobile Health App For Adolescents: Motion Sensor Data And Deep Learning Technique To Examine The Relationship Between Obesity And Walking Patterns, Sungchul Lee, Eunmin Hwang, Yanghee Kim, Fatih Demir, Hyunhwa Lee, Joshua J. Mosher, Eunyoung Jang, Kiho Lim

Nursing Faculty Publications

With the prevalence of obesity in adolescents, and its long-term influence on their overall health, there is a large body of research exploring better ways to reduce the rate of obesity. A traditional way of maintaining an adequate body mass index (BMI), calculated by measuring the weight and height of an individual, is no longer enough, and we are in need of a better health care tool. Therefore, the current research proposes an easier method that offers instant and real-time feedback to the users from the data collected from the motion sensors of a smartphone. The study utilized the mHealth …