Publications by authors named "Terrence C Lee"
Purpose: To assess for risk factors for retinal vein occlusion (RVO) among participants in the National Institutes of Health database, particularly social risk factors that have not been well studied, including substance use.
Design: Retrospective, case-control study.
Participants: Data were extracted for 380 adult participants with branch retinal vein occlusion (BRVO), 311 adult participants with central retinal vein occlusion (CRVO), and 1520 controls sampled among 311 640 adult participants in the database.
Purpose: Inadequacies in healthcare access and utilization substantially impact outcomes for diabetic patients. The All of Us database offers extensive survey data pertaining to social determinants that is not routinely available in electronic health records. This study assesses whether social determinants were associated with an increased risk of developing proliferative diabetic retinopathy or related complications (e.
View Article and Find Full Text PDFPurpose: To quantify and characterize social determinants of health (SDoH) data coverage using single-center electronic health records (EHRs) and the National Institutes of Health All of Us research program.
Design: Retrospective cohort study from June 2014 through June 2021.
Participants: Adults 18 years of age or older with a diagnosis of diabetic retinopathy, glaucoma, cataracts, or age-related macular degeneration.
A functional genomics screen identifying blood cell development genes in Drosophila by undergraduates participating in a course-based research experience.
G3 (Bethesda)
January 2021
Article Synopsis
- - Undergraduate students at UCLA conducted research using RNA interference (RNAi) and fluorescent proteins to pinpoint genes crucial for blood cell development in fruit flies, screening around 3,500 genes and finding 137 that affected hematopoiesis.
- - By targeting RNAi to different cell types involved in blood cell maturation, the researchers identified specific gene subsets that either facilitate or inhibit this process, revealing new insights into gene functions related to RNA processing and vesicular trafficking.
- - The CURE (Course-Based Undergraduate Research Experience) model not only enhanced students' understanding and skills in science but also improved retention rates in STEM fields, demonstrating the value of hands-on research in education.
Predictive analytics using electronic health record (EHR) data have rapidly advanced over the last decade. While model performance metrics have improved considerably, best practices for implementing predictive models into clinical settings for point-of-care risk stratification are still evolving. Here, we conducted a systematic review of articles describing predictive models integrated into EHR systems and implemented in clinical practice.
View Article and Find Full Text PDFBackground: Mucosal healing (MH) in inflammatory bowel disease has been associated with improved long-term clinical outcomes. Uncertainty remains as to the magnitude of this effect and to how this association changes with time and degree of healing.
Methods: PubMed, EMBASE, and Web of Science searches identified 1570 citations.