Assistant Professor of Surgery (Vascular Surgery) and of Medicine (BMIR)


  • Real-world Experience With Drug-coated Balloon Angioplasty in Dysfunctional Arteriovenous Fistulae Martinez-Singh, K., Harris, E., Lee, J. T., Stern, J. R., Ross, E. MOSBY-ELSEVIER. 2022: E302
  • Disparities in peripheral artery disease care: A review and call for action. Seminars in vascular surgery Demsas, F., Joiner, M. M., Telma, K., Flores, A. M., Teklu, S., Ross, E. G. 2022; 35 (2): 141-154


    Peripheral artery disease (PAD), the pathophysiologic narrowing of arterial blood vessels of the lower leg due to atherosclerosis, is a highly prevalent disease that affects more than 6 million individuals 40 years and older in the United States, with sharp increases in prevalence with age. Morbidity and mortality rates in patients with PAD range from 30% to 70% during the 5- to 15-year period after diagnosis and PAD is associated with poor health outcomes and reduced functionality and quality of life. Despite advances in medical, endovascular, and open surgical techniques, there is striking variation in care among population subgroups defined by sex, race and ethnicity, and socioeconomic status, with concomitant differences in preoperative medication optimization, amputation risk, and overall health outcomes. We reviewed studies from 1995 to 2021 to provide a comprehensive analysis of the current impact of disparities on the treatment and management of PAD and offer action items that require strategic partnership with primary care providers, researchers, patients, and their communities.With new technologies and collaborative approaches, optimal management across all population subgroups is possible.

    View details for DOI 10.1053/j.semvascsurg.2022.05.003

    View details for PubMedID 35672104

  • Clustering cancers by shared transcriptional risk reveals novel targets for cancer therapy. Molecular cancer Gao, H., Baylis, R. A., Luo, L., Kojima, Y., Bell, C. F., Ross, E. G., Wang, F., Leeper, N. J. 2022; 21 (1): 116

    View details for DOI 10.1186/s12943-022-01592-y

    View details for PubMedID 35585548

  • Machine Learning Can Predict Recurrence Patterns After Liver Transplantation in Hepatocellular Carcinoma Patients: Analysis from the US Multicenter HCC Transplant Consortium Narayan, R. R., Safarnejad, L., Tran, B., Nguyen, M., Ross, E., Agopian, V., Melcher, M. SPRINGER. 2022: 348-349
  • Development of a polygenic risk score to improve detection of peripheral artery disease. Vascular medicine (London, England) Wang, F., Ghanzouri, I., Leeper, N. J., Tsao, P. S., Ross, E. G. 2022: 1358863X211067564


    INTRODUCTION: Peripheral artery disease (PAD) is a major cause of cardiovascular morbidity and mortality, yet timely diagnosis is elusive. Larger genome-wide association studies (GWAS) have now provided the ability to evaluate whether genetic data, in the form of genome-wide polygenic risk scores (PRS), can help improve our ability to identify patients at high risk of having PAD.METHODS: Using summary statistic data from the largest PAD GWAS from the Million Veteran Program, we developed PRSs with genome data from UK Biobank. We then evaluated the clinical utility of adding the best-performing PRS to a PAD clinical risk score.RESULTS: A total of 487,320 participants (5759 PAD cases) were included in our final genetic analysis. Compared to participants in the lowest 10% of PRS, those in the highest decile had 3.1 higher odds of having PAD (95% CI, 3.06-3.21). Additionally, a PAD PRS was associated with increased risk of having coronary artery disease, congestive heart failure, and cerebrovascular disease. The PRS significantly improved a clinical risk model (Net Reclassification Index = 0.07, p < 0.001), with most of the performance seen in downgrading risk of controls. Combining clinical and genetic data to detect risk of PAD resulted in a model with an area under the curve of 0.76 (95% CI, 0.75-0.77).CONCLUSION: We demonstrate that a genome-wide PRS can discriminate risk of PAD and other cardiovascular diseases. Adding a PAD PRS to clinical risk models may help improve detection of prevalent, but undiagnosed disease.

    View details for DOI 10.1177/1358863X211067564

    View details for PubMedID 35287516