SAAAPM Contributes to FAER and IARS

In 2015 SAAAPM donated $75,000 each to IARS and FAER to create partnerships to fund research on education topics. The donation to each organization is linked to those organizations also designating an identical amount of money for the same effort, doubling the value of our donation. Each organization has agreed to brand these funding mechanisms to recognize SAAAPM for its support on their website, annual report and to the grant recipients. The SAAAPM Council appreciates the willingness of FAER and IARS to use their own review and administrative infrastructure to identify the best recipients for these funding opportunities.

FAER

(View FAER Announcement)
The recipients of the 2015 FAER and SAAAPM co-sponsored Research in Education Grants include:

Meredith Adams, MD
Medical College of Wisconsin
Creation and validation of an anesthesiology pain educational app: Delivering ABA pain content to the millennial learner
Mentor: Thomas J. Ebert, MD, PhD

Dr. Adams’s research will assess whether using an app to transform core pain-domain knowledge into smaller elements and solidifying mastery of this material using testing with novel gamification techniques will improve engagement, learning and performance. Ultimately, the project aims to create a curated mobile educational app to support learners in building their pain knowledge.

Robert B. Maniker, MD
Columbia University
Validation of an objective, practical and real-time assessment of regional anesthesia procedural skills
Mentor(s): Boyd Richards, PhD, Charles W. Emala, MS, MD

Dr. Maniker’s research will provide anesthesia programs with a standardized instrument to document evidence of milestone achievement and allow early identification of trainees who fall below threshold performance levels. Future studies will aim to validate additional milestone assessment tools and evaluate the effect of their widespread implementation on educational outcomes.

Glenn Woodworth, MD
Oregon Health & Science University
Trajectory, predictive value and significance of milestone achievement during anesthesiology training
Mentor(s): Patricia A. Carney, PhD, Nicole M. Deiorio, MD

Dr. Woodworth’s research will provide insights into the utility of the milestones developed for the 25 anesthesiology sub-competencies, lay the foundation for anesthesia residency programs to implement strategies to take action to correct substandard performance, and provide valuable information in the continuing evolution of the milestones project.

IARS

(View IARS Announcement)
The IARS matched the SAAAPM contribution to create a $150,000 educational grant to support the IARS and SAAAPM mission of enhancing academic anesthesiology, education, research, and quality clinical care. The SAAAPM-IARS Research Grant was awarded in 2016 to Dr. Eric Vu.

Eric Vu, MD
Predictive Analytic Tool for Diagnosis of Coronary Allograft Vasculopathy
Baylor College of Medicine
Houston, Texas

The objective of this project is to develop and study a new predictive algorithm for pediatric transplant associated coronary allograft vasculopathy (CAV), an immunologic phenomenon affecting 50% of patients 5-15 years after orthotopic heart transplants. Diagnosis of disease remains difficult due to nonspecific symptomatology, and many patients are subjected to the increased morbidity and mortality of numerous cardiac catheterizations and exposure to anesthesia when disease is suspected. To improve diagnosis, the performance of a novel electrocardiogram (ECG) algorithm in distinguishing CAV will be retrospectively tested in patients undergoing cardiac catheterization after heart transplantation. The algorithm has the capability of measuring dynamic ST segment changes of a reconstructed 3-dimensional ST segment vector from standard 5 lead ECG in real-time. In addition, biomarker panel testing utilizing markers of inflammation and myocyte injury will be performed to establish a multivariate model to improve the predictive power in CAV diagnosis. Finally, utilizing discrete laboratory and real time physiologic variables obtained in the cardiac catheterization lab (heart rate, heart rate variability, ST instability), a predictive analytic algorithm will be developed as a risk-assessment tool for CAV in comparison to the current gold standard of diagnosis, angiography. Because CAV remains one of the leading causes of morbidity after pediatric orthotopic heart transplantation, a predictive analytic tool will aid in the earlier diagnosis of this critical disease, and in the future may guide therapies, such as medical management, revascularization, and alert the need for retransplantation.