Yujia Feng

in pursuit of a Ph.D. opportunity

Wuhan University

Biography

Welcome to my personal website. I am a student from mainland China. I graduated with a Bachelor’s degree in Clinical Medicine from Wuhan University and completed my Master’s degree in Internal Medicine with a specialization in Cardiovascular Medicine at Wuhan University.

Interests

Biomedical Experiment
Bioinformatics Analysis
Randomized Controlled Trials
Clinical Cohort Studies
Meta-analyses
Latent Class Analyses

Education

MMed in Cardiovascular Medicine, 09/2020 – 06/2023
Second School of Clinical Medicine, Wuhan University
MBBS in Clinical Medicine, 09/2015 – 06/2020
School of Medicine, Wuhan University
High School, 09/2012 – 06/2015
High school affiliated to Yunnan Normal University

Research Experience

Cohort Study:the The Relationship Between atherogenic index of plasma (AIP) and the severity of coronary artery disease (CAD)

Led a retrospective cohort study focusing on the relationship between blood lipid indicators and the severity of coronary artery disease (CAD).

Cohort Study:the The Relationship Between atherogenic index of plasma (AIP) and Collateral Circulation Formation in chronic total occlusive (CTO) patients

Led a retrospective cohort study focusing on the relationship between blood lipid indicators and Collateral Circulation Formation in chronic total occlusive (CTO) patients.

Latent Class Analysis (LCA) & Bioinformatics Analysis

Utilized R and Mplus software for latent class analysis (LCA) and bioinformatics analysis of the association between blood lipids and coronary atherosclerosis

Cohort Study:the optimal timing for non-culprit coronary artery PCI

Designed and led a retrospective cohort study within the Department of Cardiovascular Medicine and enrolled 980 patients with STEMI who underwent primary percutaneous coronary intervention (PPCI) from January 1st, 2016 to December 31st, 2019. The study aimed to compare the impact of four strategies of non-culprit coronary artery intervention (i.e., CR, staged revascularization during hospitalization (SR-in), staged complete revascularization after discharge (SR-out), COR) on the long-term prognosis of patients

Latent Class Analysis (LCA)

Conducting latent class analysis using the poLCA package in R

Network Meta-Analysis

Designed and performed a network meta-analysis to compare the three intervention strategies (i.e., complete revascularization (CR), staged revascularization (SR), and culprit-only revascularization (COR)). The study aimed to determine the optimal strategy for revascularization in ST-segment elevation myocardial infarction (STEMI) patients with multivessel CAD

MIMIC-III database

Utilized Navicat software to conduct analysis on the MIMIC-III database, aiming to study the influence of blood lipids on the prognosis of patients with coronary heart disease (CAD)

Bioinformatics Analysis

Utilizing R for the GEO datasets for bioinformatics analysis of bladder cancer

Featured Publications

The optimal timing for non-culprit percutaneous coronary intervention in patients with multivessel coronary artery disease: A Pairwise and Network Meta-Analysis of Randomized Trials

Abstract Background and aims: Recently, several randomized trials have shown that patients with multivessel disease (MVD) often pursue complete revascularization during percutaneous coronary intervention (PCI) to improve their prognosis. However, the optimal time for the non-culprit artery has been controversial.

Feng Y, Li S, Hu S, Wan J, Shao H

The optimal timing for non-culprit percutaneous coronary intervention in patients with multivessel coronary artery disease: A Pairwise and Network Meta-Analysis of Randomized Trials

Publications

Quickly discover relevant content by filtering publications.

Li Y, Feng Y, Zhong Y, Li S, Lin J, Fang P, Wan J, Zhao M (2023). The Atherogenic Index of Plasma is a Predictor for Chronic Total Occlusion and Coronary Collateral Circulation Formation in CTOs Patients. Rev. Cardiovasc. Med. 2023, 24(10), 305.

PDF Cite Project DOI

Hu S, Feng Y, Liu S, Wan J (2023). One year prognosis of chronic complete occlusive disease after percutaneous coronary intervention. Medical Journal of Wuhan University. Accepted.

Cite

Li Y, Feng Y, Li S, Ma Y, Lin J, Wan J, Zhao M (2023). The atherogenic index of plasma (AIP) is a predictor for the severity of coronary artery disease. Front Cardiovasc Med. (2023)10:1140215.

PDF Cite Project DOI

Liu C, Li Z, Zhao B, Dai Z, Wang J, Feng Y, Peng A, Xiang H (2023). Ambient ozone exposure and the severity of coronary heart disease: a predicting role of aspartate aminotransferase. Medical Journal of Wuhan University (2023):1-7.

Cite

Feng Y, Li S, Hu S, Wan J (2022). Performing latent class analysis using R poLCA package. Chinese Journal of Health Statistics. Accepted.

Cite Project

See all publications

Skills

Throughout the course of conducting bioinformatics analyses and meta-analyses, I attained a comprehensive understanding of the R programming language

SQL & Navicat

During the analysis of the MIMIC database, I acquired proficiency in using the SQL language and Navicat software

STATA & Rev Man

Through engagement in meta-analysis and the analysis of MIMIC database, I have gained proficiency in utilizing the STATA software

SPSS & PASS

In the context of clinical cohort studies, I have acquired proficiency in utilizing the SPSS software

Mplus

Throughout the process of latent class analysis, I gained proficiency in utilizing the Mplus software

Cytoscape

During the course of conducting bioinformatics analysis, I learned to use the Cytoscape software

Internship & rotation

Resident training in Internal Medicine

Zhongnan Hospital of Wuhan University

September 2020 – May 2023 Wuhan

Residency training for 3 years
Obtained the certification as a licensed medical practitioner in China
Annual Outstanding Resident Physician of Zhongnan Hospital of Wuhan University in 2021

Internship

Zhongnan Hospital of Wuhan University

June 2019 – June 2020 Wuhan

Completed Internship rotations in the fields of Internal Medicine, Surgery, Obstetrics and Gynecology, and Pediatrics