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Role Of Serum Biomarkers In Early Detection Of Non-Alcoholic Steatohepatitis And Fibrosis In West Virginian Children, Komal Sodhi, Lucas Bracero, Andrew S. Feyh, Alexandra Nichols, Krithika Srikanthan, Tariq M. Latif, Deborah L. Preston, Joseph I. Shapiro, Yoram Elitsur

Joseph I Shapiro MD

Background: Obesity, an epidemic among West Virginia children, as well as insulin resistance (IR), is wellestablished contributors to nonalcoholic steatohepatitis (NASH). Progression of NASH can lead to hepatic fibrosis and cirrhosis, making early detection imperative. The standard for diagnosing NASH is histologically via liver biopsy, which is highly invasive and generally contraindicated in children. By studying serum biomarkers associated with NASH, we aim to identify high risk children who can benefit from a less invasive, alternative approach to the early detection of NASH.

Methods: Seventy one children were prospectively recruited and divided into 3 groups: normal weight without IR …

Role Of Serum Biomarkers In Early Detection Of Non-Alcoholic Steatohepatitis And Fibrosis In West Virginian Children, Komal Sodhi, Lucas Bracero, Andrew S. Feyh, Alexandra Nichols, Krithika Srikanthan, Tariq M. Latif, Deborah L. Preston, Joseph I. Shapiro, Yoram Elitsur

Joseph I Shapiro MD

Background: Obesity, an epidemic among West Virginia children, as well as insulin resistance (IR), is wellestablished contributors to nonalcoholic steatohepatitis (NASH). Progression of NASH can lead to hepatic fibrosis and cirrhosis, making early detection imperative. The standard for diagnosing NASH is histologically via liver biopsy, which is highly invasive and generally contraindicated in children. By studying serum biomarkers associated with NASH, we aim to identify high risk children who can benefit from a less invasive, alternative approach to the early detection of NASH.

Methods: Seventy one children were prospectively recruited and divided into 3 groups: normal weight without IR …

Outcomes Of Transcutaneous Aortic Valve Replacement Among High Risk Wv Sample Population., George M. Yousef, Julia Poe, Cameron Killmer, Basel Edris, Jason Mader, Ellen A. Thompson, Daniel Snavely, Silvestre Cansino, Joseph I. Shapiro, Mark A. Studeny

Joseph I Shapiro MD

Introduction:Transcatheter aortic valve replacement (TAVR) is a relatively new strategy for replacing the aortic valve. We elected to review our early experience to see if we could identify clinical characteristics at baseline or immediately following the procedure that would predict death within one year.

Methods:Charts for all patients assigned to receive TAVR procedure at St Mary’s medical center, Huntington, West Virginia between April, 2013 till November, 2016 were identified and reviewed. A total of seventy-two (72) cases were included.

Results: All cause mortality rate at index hospitalization, 30 days, and 12 months was 5.6%(N=4), 6.9%(N=5), 19.4%(N=14) respectively. Stroke …

Role Of Serum Biomarkers In Early Detection Of Diabetic Cardiomyopathy In The West Virginian Population, Adam Shaver, Alexandra Nichols, Ellen A. Thompson, Amrita Mallick, Nandini Manne, Shanmuga Sundaram, Joseph I. Shapiro Md, Komal Sodhi

Joseph I Shapiro MD

Objectives: Diabetic cardiomyopathy (DCM) is an established complication of diabetes mellitus. In West Virginia, the especially high incidence of diabetes and heart failure validate the necessity of developing new strategies for earlier detection of DCM. Since most DCM patients remain asymptomatic until the later stages of the disease when the fibrotic complications become irreversible, we aimed to explore biomarkers that can identify early-stage DCM.

Methods: The patients were grouped into 4 categories based on clinical diabetic and cardiac parameters: Control, Diabetes (DM), Diastolic dysfunction (DD), and Diabetes with diastolic dysfunction (DM+DD), the last group being the preclinical DCM group.

Results: …

Predicting Adverse Outcomes In End Stage Renal Disease: Machine Learning Applied To The United States Renal Data System, Zeid Khitan, Alexis D. Jacob, Courtney Balentine, Adam N. Jacob, Juan R. Sanabria, Joseph I. Shapiro

Joseph I Shapiro MD

We examined machine learning methods to predict death within six months using data derived from the United States Renal Data System (USRDS). We specifically evaluated a generalized linear model, a support vector machine, a decision tree and a random forest evaluated within the context of K-10 fold validation using the CARET package available within the open source architecture R program. We compared these models with the feed forward neural network strategy that we previously reported on with this data set.

Predicting Adverse Outcomes In End Stage Renal Disease: Machine Learning Applied To The United States Renal Data System, Zeid Khitan, Alexis D. Jacob, Courtney Balentine, Adam N. Jacob, Juan R. Sanabria, Joseph I. Shapiro

Joseph I Shapiro MD

We examined machine learning methods to predict death within six months using data derived from the United States Renal Data System (USRDS). We specifically evaluated a generalized linear model, a support vector machine, a decision tree and a random forest evaluated within the context of K-10 fold validation using the CARET package available within the open source architecture R program. We compared these models with the feed forward neural network strategy that we previously reported on with this data set.