A5050044642- Organ Donation and Transplantation
- Health Systems, Economic Evaluations, Quality of Life
- Organ Transplantation Techniques and Outcomes
- Renal Transplantation Outcomes and Treatments
- Healthcare professionals’ stress and burnout
- Liver Disease and Transplantation
- Opioid Use Disorder Treatment
- Advanced Causal Inference Techniques
- Blood Pressure and Hypertension Studies
- Cardiac Health and Mental Health
- Substance Abuse Treatment and Outcomes
- Liver Disease Diagnosis and Treatment
- Prenatal Substance Exposure Effects
- Lipoproteins and Cardiovascular Health
- Optimism, Hope, and Well-being
- Health and Medical Research Impacts
- Neurological Complications and Syndromes
- Alcohol Consumption and Health Effects
- Renal and Vascular Pathologies
- Machine Learning in Healthcare
- BRCA gene mutations in cancer
- Diversity and Career in Medicine
- Pharmaceutical Economics and Policy
- HIV, Drug Use, Sexual Risk
- Impact of AI and Big Data on Business and Society
Dartmouth College
2022-2024
Dartmouth Hospital
2024
Harvard University
2021-2022
University of Michigan
2015-2021
MGH Institute of Health Professions
2021
NIHR Clinical Research Network
2019
Lymphatic Education & Research Network
2019
Center for Naval Analyses
2016
VA Center for Clinical Management Research
2016
Nonalcoholic steatohepatitis (NASH) cirrhosis is the fastest growing indication for liver transplantation (LT) in United States. We aimed to determine temporal trend behind rise obesity and NASH‐related additions LT waitlist States make projections future NASH burden on waitlist. used data from Organ Procurement Transplantation Network database 2000 2014 obtain number of additions. The obese population was estimated using U.S. Census Bureau National Health Nutrition Examination Survey. Based...
Renal transplantation is a lifesaving intervention for end-stage renal disease. The demand outweighs the availability of organs; however, up to 20% recovered kidneys are discarded before transplantation. We aimed better characterize risk factors deceased donor kidney discard.We performed secondary analysis Organ Procurement and Transplantation Network database from 2000 2012 all solid organ donors. cohort was split into training (80%) validation (20%) subsets. stepwise logistic regression...
With the aging US population, demographic shifts, and obesity epidemic, there is potential for further exacerbation of current liver donor shortage. We aimed to project availability grafts in United States. performed a secondary analysis Organ Procurement Transplantation Network database all adult donors from 2000 2012 calculated total number available transplanted livers stratified by age, race, body mass index (BMI) group per year. used National Health Nutrition Examination Survey Centers...
Treatment for opioid use disorder (OUD), particularly medication OUD, is highly effective; however, retention in OUD treatment a significant challenge. We aimed to identify key risk factors premature exit from treatment. analyzed 2,381,902 cross-sectional episodes individuals the U.S., discharged between Jan/1/2015 and Dec/31/2019. developed classification models (Random Forest, Classification Regression Trees (CART), Bagged CART, Boosted CART), 31 potential exit, including characteristics,...
Problem definition: Effective hypertension management is critical to reducing the consequences of atherosclerotic cardiovascular disease, a leading cause death in United States. Clinical guidelines for can be enhanced using decision-analytic approaches capable capturing complexities treatment planning. However, model-generated recommendations may uninterpretable/unintuitive, limiting their clinical acceptability. We address this challenge by investigating interpretable plans....
<h3>Importance</h3> Presumed consent, or an opt-out organ transplant policy, has been adopted by many countries worldwide to increase donation. The implication of such a policy for transplants in the United States is uncertain, however. <h3>Objective</h3> To simulate potential implications presumed consent States. <h3>Design, Setting, and Participants</h3> In decision analytical model, simulation model was developed using cohort data from January 1, 2004, December 31, 2014, Organ Procurement...
Organ transplant is a life-saving procedure for patients with end-stage organ failure. In the US, procurement organizations (OPOs) are responsible evaluation and of organs from donors who have died; however, there controversy regarding what measures should be used to evaluate their performance.To OPO performance metrics using combined mortality donation data quantify associations population demographics metrics.This national cohort study includes US transplantation system January 2008...
Medical trainee well-being is often met with generalized solutions that overlook substantial individual variations in mental health predisposition and stress reactivity. Precision medicine leverages environmental, genetic, lifestyle factors to tailor preventive therapeutic interventions. In addition, an exclusive focus on clinical illness tends disregard the importance of supporting positive aspects medical well-being. We introduce a novel precision framework for education built...
Background: Markov decision process (MDP) models are powerful tools. They enable the derivation of optimal treatment policies but may incur long computational times and generate rules that challenging to interpret by physicians. Methods: In an effort improve usability interpretability, we examined whether Poisson regression can approximate hypertension derived MDP for maximizing a patient's expected discounted quality-adjusted life years. Results: We found our approximation policy matched in...
Objectives. There are several approaches such as presumed consent and compensation for deceased donor organs that could reduce the gap between supply demand kidneys. Our objective is to evaluate magnitude of economic impact policies increase organ donation in United States. Methods. We built a Markov model simulate an open cohort end-stage renal disease patients awaiting kidney transplantation States over 20 years. Model inputs were derived from Renal Data System published literature. health...
In Brief Background To reduce the geographic heterogeneity in liver transplant allocation, United Network of Organ Sharing has proposed redistricting, which is impacted by both donor supply and transplantation demand. We aimed to determine impact demographic changes on redistricting proposal characterize causes behind supply. Methods analyzed adult donors from 2002 2014 database calculated regional donation utilization stratified age, race, body mass index. used US population data make...
Abstract The unintended biases introduced by optimization and machine learning (ML) models are a topic of great interest to medical professionals. Bias in healthcare decisions can cause patients from vulnerable populations (e.g., racially minoritized, low-income, or living rural areas) have lower access resources inferior outcomes, thus exacerbating societal unfairness. In this systematic literature review, we present structured overview the regarding fair decision making until April 2024....
Abstract Background Medical students frequently experience heightened levels of anxiety, depression, and burnout. These challenges are disproportionately borne by from underrepresented backgrounds, who exposed to systemic inequities, discrimination, reduced access supportive resources. While precision well-being approaches, characterized identifying distinct phenotypes for personalized interventions, hold promise, standard machine learning clustering algorithms such as K-Means may...
Optimizing organ yield (number of organs transplanted per donor) is a modifiable way to increase the number available for transplant. Historically, models predict donor have been developed based ordinary least squares regression and ordinal logistic regression; however, alternative modeling methodology may be superior conventional approaches.1,2 In this preliminary analysis, rather than treating as continuous outcome, we modeled counts. We aimed compare different linear nonlinear statistical...
Research Objective: Polygenic risk scores can improve prediction of first-time cardiovascular disease (CVD). Prediction future events is the central factor in statin use current guidelines Therefore, we hypothesized that if polygenic were added to scores, could become more efficient. We performed a cost-effectiveness analysis see genomic testing be cost-effective way prevent CVD. Study Design: Decision-analytic model for decision-making. Data sources: Published literature Time Horizon:...
Atherosclerotic cardiovascular disease (ASCVD) is among the leading causes of death in US. While it known that ASCVD has familial and genetic components, understanding role testing prevention treatment been limited. To this end, we develop a simulation framework to estimate risk for events due clinical factors. One controllable factor cholesterol level patients. Cholesterol plans are modeled using Markov decision processes. By simulating health trajectory patients, determine impact optimal...
Abstract Problem The escalating mental health crisis among medical students is often met with generalized solutions that overlook substantial individual variations. Furthermore, an exclusive focus on illness tends to overshadow the necessity of fostering positive aspects trainee well-being. This Innovation Report introduces a novel, data-driven precision well-being approach for education built more comprehensive and individualized view health. Approach Our centers categorizing into distinct...
Abstract Importance Medical students exhibit depression or depressive symptoms at a higher rate than the general population, with potential for reduced academic performance and increased risk of suicide physical health problems. Understanding factors contributing to severity is critical early detection creating support systems personalized mental challenges medical students. Objective To predict identify key biopsychosocial influencing in across United States using explainable machine...