Faculty Bibliography

INTRODUCTION:The United States Medical Licensing Examination (USMLE) Step 1 and Step 2 Clinical Knowledge (CK) are important for trainee medical knowledge assessment and licensure, medical school program assessment, and residency program applicant screening. Little is known about how USMLE performance varies between institutions. This observational study attempts to identify institutions with above-predicted USMLE performance, which may indicate educational programs successful at promoting students' medical knowledge. METHODS:Self-reported institution-level data was tabulated from publicly available US News and World Report and Association of American Medical Colleges publications for 131 US allopathic medical schools from 2012-2014. Bivariate and multiple linear regression were performed. The primary outcome was institutional mean USMLE Step 1 and Step 2 CK scores outside a 95% prediction interval (≥2 standard deviations above or below predicted) based on multiple regression accounting for students' prior academic performance. RESULTS:Eighty-nine US medical schools (54 public, 35 private) reported complete USMLE scores over the three-year study period, representing over 39,000 examinees. Institutional mean grade point average (GPA) and Medical College Admission Test score (MCAT) achieved an adjusted R2 of 72% for Step 1 (standardized βMCAT 0.7, βGPA 0.2) and 41% for Step 2 CK (standardized βMCAT 0.5, βGPA 0.3) in multiple regression. Using this regression model, 5 institutions were identified with above-predicted institutional USMLE performance, while 3 institutions had below-predicted performance. CONCLUSIONS:This exploratory study identified several US allopathic medical schools with significant above- or below-predicted USMLE performance. Although limited by self-reported data, the findings raise questions about inter-institutional USMLE performance parity, and thus, educational parity. Additional work is needed to determine the etiology and robustness of the observed performance differences.

Introduction Pancreatic cancer is one of the leading causes of death in both males and females in the United States. Nearly 85% of pancreatic cancer is adenocarcinoma. Given the silent disease progression of pancreatic cancer, identifying at-risk populations will help diagnose these fatal cancers as early as possible. Methods The United States Cancer Statistics (USCS) registry was used to obtain data for pancreatic adenocarcinoma from 2001 to 2015. The incidence analysis was stratified based on sex, race, stage, and US regional location. Results The overall incidence of pancreatic adenocarcinoma from 2001 to 2015 was 5.2 per 100,000 people per year. The overall incidence rates were the greatest for each stratification in males, blacks, distant disease, and in the Northeast. The incidence in blacks continued to rise with an annual percent change (APC) of 2.28 between 2001 and 2015. Between 2001 and 2006, the incidence of distant disease increased at a rapid rate (APC 5.34). However, after 2006, the incidence continued to increase but no longer at the previously rapid rate (APC 1.91). For incidence based on US regional location, the overall incidence was greatest in the Northeast and Midwest. The incidence in the South was increasing at an expeditious rate (APC 2.70). Conclusion In our study, we analyzed the incidence of pancreatic adenocarcinoma using data from all 50 states in the US. Our findings showed that there was a worsening incidence in blacks, those with a distant stage at diagnosis, and those in the North and Midwest. Ultimately our findings help identify at-risk populations and can contribute to improving surveillance of this deadly disease.

Solid-state nanopores are an emerging biosensor for nucleic acid and protein characterization. For use in a clinical setting, solid-state nanopore sensing requires sample preparation and purification, fluid handling, a heating element, electrical noise insulators, and an electrical readout detector, all of which hamper its translation to a point-of-care diagnostic device. A stand-alone microfluidic-based nanopore device is described that combines a bioassay reaction/purification chamber with a solid-state nanopore sensor. The microfluidic device is composed of the high-temperature/solvent resistance Zeonex plastic, formed via micro-machining and heat bonding, enabling the use of both a heat regulator and a magnetic controller. Fluid control through the microfluidic channels and chambers is controlled via fluid port selector valves and allows up-to eight different solutions. Electrical noise measurements and DNA translocation experiments demonstrate the integrity of the device, with performance comparable to a conventional stand-alone nanopore setup. However, the microfluidic-nanopore setup is superior in terms of ease of use. To showcase the utility of the device, single molecule detection of a DNA PCR product, after magnetic bead DNA separation, is accomplished on chip.