2023 Scientific Poster Session - Wednesday

Authors:  Shivam Damani, Keerthy Gopalakrishnan, Keirthana Aedma, Pratyusha Muddaloor, Vinay Chandrasekhara, Alexander Ryu, Christopher Aakre and Shivaram Arunachalam

Authors:  Steve Baird, Greg Smock, Draeke Weseman and Jake Abdo

Authors:  Samson Galvin, Samantha Scarpinella, Shawn Safford, Scarlett Miller and Jason Moore

Each year there are hundreds of thousands of emergency department visits for hip fractures. Hip fracture repair is a common surgical procedure that residents learn early in their careers. Efficient fluoroscopy use and the precision of fixation can have an important influence on patient outcomes. This study used a wire navigation simulator to assess patterns in behavior between novice and experienced surgeons. The hypothesis was that experienced surgeons would have more controlled hand motions, higher accuracy in obtaining and entry point, and use less fluoroscopy than novice surgeons.  

A new simulation module for the cephalomedullary nail wire navigation task was developed, including a solid Sawbones model and visually and haptically realistic soft tissue. Second- and fifth-year residents found an appropriate entry point and drive their k-wire into the femoral shaft. Each participant repeated this task twice.  

Experienced surgeons had a starting point on average 1.77 mm more accurate than novices (p = 0.045), and experienced surgeons were more consistent in their starting point. Neither group used significantly more images or time (p = 0.097 and p = 0.121, respectively). Surgeons who consistently used larger corrections typically required more images to find their entry point. Each corrective movement with a swept area larger than 1329.7 mm² was estimated to add between 1.53-2.25 images to the total needed.

Authors: Evan Williams, Geb Thomas, Steven Long, Donald Anderson and Matthew Karam

Authors:  Allyson Mitchell, Amirhossein Majidirad and George Pujalte

Authors:  Margaret Krieger, Aayod Kaul, Dailen Brown, Haroula Tzamaras, Jason Moore and Scarlett Miller

Authors:  Hang-Ling Wu, Dailen Brown, Scarlett Miller and Jason Moore

Authors:  Jason Robinson, Vishakh Shewalker, Isaiah Rigo, Asaiah Rock, Lucy Cinnamon, Daniella Chapman-Rienstra, Jooyoung Hong, Joohyung Kim and Holly Golecki

Authors:  Shivam Damani, Devanshi Damani, Renisha Redij, Arshia Sethi, Pratyusha Muddaloor, Anoushka Kapoor, Anjali Rajagopal, Keerthy Gopalakrishnan, Xiao Wang, Victor Chedid, Alexander Ryu, Christopher Aakre and Shivaram Arunachalam

Authors:  Ethan Krings, Sequoia Truong, Kiersten Resser, Benjamin Hage, Gregory Bashford and Eric Markvicka

Authors:  Josh Adams, Phillip Demarest, Kara Donovan, Peter Brunner, Harold Burton, Simon Haroutounian, Eric Leuthardt and Jenna Gorlewicz

Authors:  Carine Rizk, Neil Koby Reid, Khue Tran and Hannah Bass

Kangaroo care (KC), or skin-to-skin contact between a mother and her infant, has been shown to have positive impacts on both members of the dyad. To understand the physiological response of the mother before, during, and after KC, it is proposed that the mother wear a smartwatch to gather vital signs data. Several NICUs do not allow accessories to be worn on the wrist, so it was necessary to determine whether the smartwatch can accurately measure vitals elsewhere on the body. The results of comparing the heartrate measured on the wrist to the heartrate measured at the ankle and bicep indicate that the bicep is a suitable location to wear the smartwatch other than the wrist.

Authors:  Sam Carlson, Farhanuddin Kazi, Abigail Clarke-Sather, Jomara Sandbulte and Sonya Wang

Authors:  Oguz Yetkin, Brian B. Terry, Joshua Baptist, Alex Nielsen, Jessica Cordner and Sanjay Gowda

CHF exacerbations are the second leading cause of hospitalizations in the United States. The two most common causes of CHF exacerbations are medication and diet nonadherence. BioinformatX is a patient-facing application whose aim is to improve heart failure management and decrease hospitalizations. Specifically, BioinformatX incorporates biological patient data from a wearable device directly into the EMR. With remote access to patients’ activity, HR, oxygen saturation, EKG, and fluid status, providers can detect and intervene on acute, decompensated CHF exacerbations before patients need to be hospitalized.

Authors:  Ryan Reichert, Rohan Bhattaram and Yusairah Basheer

Authors:  Charmaine Nieves, Sandra Edward, Mayura Kulkarni and Holly Golecki

Authors:  Alireza Golgouneh, Robert Pettys-Baker, Lucy E. Dunne and Brad Holschuh

Authors:  Youness Arjoune, Tyler Salvador, Trong Nguyen, Anha Telluri, Titus John, Jonathan Schroder, Dinesh Pillai, Stephen Teach, Shilpa Patel, Robin Doroshow and Raj Shekhar

Abstract: Hypertrophic Cardiomyopathy (HCM) is an inheritable heart disease with the highest rate of sudden cardiac death (SCD) in young adults. Implantable Cardioverter Defibrillator (ICD) therapy is recommended for HCM patients at high risk for SCD. Reviewing the recent clinical literature revealed the potential to improve the selection of candidates for ICD implantation. The current study uses information extracted from echocardiography reports to evaluate HCM patients with ICD and aims to provide a comparative insight into patients who benefited the most from the device therapy, including shock and anti-tachycardia pacing (ATP). The proposed interpretable machine learning approach has used the XGboost algorithm. The model's performance was considered satisfactory, as evidenced by an accuracy score of 81% and an area under the receiver operating characteristic curve (AUC) value of 69% and SHapley Additive exPlanations (SHAP) identified common properties of HCM patients in each category and provided high-level reasoning and foundation for a clinical decision support tool.

Authors: Nasibeh Zanjirani Farahani, PhD; Moein Enayati, PhD; Andredi Pumarejo Medina, MD; Mathew Alzate Aguirre, MD; Chris Scott, MS; Konstantinos Siontis, MD;  Johan M. Bos, MD, PhD; Jeffrey Geske, MD; Michael Ackerman, MD, PhD; Adelaide Arruda-Olson, MD, PhD