Elliott
Shi

Statistical Modeling of Interstage Outcomes in Infants with Single Ventricle Heart Disease Using Data from the SVR Trial. STEM

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Authors:

Elliott Shi

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Single ventricle heart disease is a rare congenital heart defect where a child is born with only one functioning ventricle, the heart's pumping chamber, instead of two. Although previous research has shown no significant difference in mortality between the two primary surgical approaches, the Modified Blalock-Taussig (MBT) shunt and the Right Ventricle to Pulmonary Artery (RVPA) shunt, the factors that most influence survival remain unclear. The purpose of this study is to provide a better understanding of this heart defect and its treatment options. This research aimed to develop a statistical model to discern which components are influential in a patient's health status. Using data from the Pediatric Heart Network's Single Ventricle Reconstruction trial, we analyzed 447 infants who were randomized to one of the two shunt types and followed until approximately 14 months of age. Echocardiographic data and neurodevelopmental assessments were collected at the end of this period. We intend to examine composite outcome variables, initially focusing on death, and then augmenting this approach as we proceed. We expect to find, regardless of variable data streams, some predictors of outcome, and we will probe their statistical significance and importance in anticipating poor outcomes for patients during this interstage period. This research offers a more in-depth analysis of single- ventricle heart disease and its adverse outcomes. Further study includes more advanced statistical modeling. Keywords: Health; Congenital Heart Defect; Echocardiography; Predictors; Composite Outcomes

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Purdue University / 2025

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Elliott Shi

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