Medicine and Health Sciences Commons^™

Sociodemographic Background Characteristics Of Patients Who Participate In A Lung Cancer Screening Program, Amber Zhang, Marcella Pimpinelli, Brooke Ruane, Russell K. Mcintire, Julie Barta, Md, Hee-Soon Juon, Bridget Jackson

Phase 1

Introduction: Despite decreasing lung cancer incidence and mortality rates, disparities in prevalence and outcomes persist between Black and White patients. Secondary analysis of the National Lung Screening Trial found screening with low-dose CT (LDCT) reduced lung cancer mortality more in Blacks than Whites. However, it is unknown if racial disparities exist in screening results, and the involved sociodemographic factors.

Objective: The study aims to analyze characteristics that may predict screening outcomes (Lung-RADS category) in patients who received LDCT through the Jefferson Lung Cancer Screening Program (LCSP).

Methods: Retrospective data (n=733, May 2015 to July 2017) were merged with prospective …

Bova Is Superior To Spesi In Identification Of High Risk Pulmonary Embolism Patients, J. Dibello, P. Khaing, E. Gupta, C. Au, T. Chengsupanimit, B. K. Awsare, M. Baram, F. M. West, G. C. Kane

Phase 1

Introduction: Prognostic models exist for the purpose of stratifying patients with acute pulmonary embolism. Of these, the Pulmonary Embolism Severity Index (PESI) and the simplified PESI (sPESI) are the most well-known, although more recent composite models, like the BOVA score, are now being studied and implemented. Comparative efficacy of these scores to predict long term mortality is not well established.

Methods: We performed a retrospective analysis of all consecutive patients diagnosed with PE using computed tomography scan from 2014-2016 at an urban tertiary-referral medical center. Cox proportional hazard analyses were performed to compare the performance of two prognostic …