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33 results on '"YATSYNOVICH, YAN"'

13. Neural Net Modeling of Checkpoint Inhibitor Related Myocarditis and Steroid Response

Author

Stefanovic,Filip, Gomez-Caminero,Andres, Jacobs,David M, Subramanian,Poornima, Puzanov,Igor, Chilbert,Maya R, Feuerstein,Steven G, Yatsynovich,Yan, Switzer,Benjamin, Schentag,Jerome J, Stefanovic,Filip, Gomez-Caminero,Andres, Jacobs,David M, Subramanian,Poornima, Puzanov,Igor, Chilbert,Maya R, Feuerstein,Steven G, Yatsynovich,Yan, Switzer,Benjamin, and Schentag,Jerome J

Abstract

Filip Stefanovic,1,2 Andres Gomez-Caminero,3 David M Jacobs,2,4 Poornima Subramanian,2 Igor Puzanov,5,6 Maya R Chilbert,4 Steven G Feuerstein,4 Yan Yatsynovich,6,7 Benjamin Switzer,5 Jerome J Schentag2,4,5 1Department of Biomedical Engineering, University at Buffalo School of Engineering and Applied Sciences, Buffalo, NY, USA; 2CPL Associates LLC, Buffalo, NY, USA; 3Worldwide Health Economic and Outcomes Research, Bristol Myers Squibb, Princeton, NJ, USA; 4Department of Pharmacy Practice, University at Buffalo School of Pharmacy and Pharmaceutical Sciences, Buffalo, NY, USA; 5Department of Medicine, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA; 6Department of Medicine, University at Buffalo Jacobs School of Medicine, Buffalo, NY, USA; 7Kettering Medical Center, Kettering, OH, USACorrespondence: Jerome J Schentag, CPL Associates LLC, 73 High St. Suite 310, Buffalo, NY, 14203, USA, Tel +1 716-867-0550, Fax +1 716-633-3331, Email Jerome.schentag@live.comBackground: Serious but rare side effects associated with immunotherapy pose a difficult problem for regulators and practitioners. Immune checkpoint inhibitors (ICIs) have come into widespread use in oncology in recent years and are associated with rare cardiotoxicity, including potentially fatal myocarditis. To date, no comprehensive model of myocarditis progression and outcomes integrating time-series based laboratory and clinical signals has been constructed. In this paper, we describe a time-series neural net (NN) model of ICI-related myocarditis derived using supervised machine learning.Methods: We extracted and modeled data from electronic medical records of ICI-treated patients who had an elevation in their troponin. All data collection was performed using an electronic case report form, with approximately 300 variables collected on as many occasions as available, yielding 6000 data elements per patient over their clinical course. Key variables were scored 0– 5 and sequential assessments were used

Published
2022

17. Clinical characteristics, time course, treatment and outcomes of patients with immune checkpoint inhibitor-associated myocarditis

Author

Puzanov, Igor, primary, Subramanian, Poornima, additional, Yatsynovich, Yan V, additional, Jacobs, David M, additional, Chilbert, Maya R, additional, Sharma, Umesh C, additional, Ito, Fumito, additional, Feuerstein, Steven G, additional, Stefanovic, Filip, additional, Switzer, Benjamin, additional, Hicar, Mark D, additional, Curtis, Anne B, additional, Spangenthal, Edward J, additional, Dy, Grace K, additional, Ernstoff, Marc S, additional, Vachhani, Pankit, additional, Page, Brian J, additional, Agrawal, Nikhil, additional, Khunger, Arjun, additional, Kapoor, Ankita, additional, Hattoum, Alexander, additional, and Schentag, Jerome J, additional

Published
2021
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23. Aortic Paravalvular Leak Repair

Author

Abdel-Aal Ahmed, Mohamed, primary, Yatsynovich, Yan, additional, Ramanan, Tharmathai, additional, Colern, Gerald, additional, Hansen, Rosemary, additional, Cimato, Thomas, additional, Graham, Susan, additional, Page, Brian, additional, and Iyer, Vijay, additional

Published
2019
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25. Evaluation of YouTube as a reliable source for patient education on aortic valve stenosis

Author

Khalil, Charl, primary, Megaly, Michael, additional, Ekladios, Catherine, additional, Ibrahim, Amira, additional, Mosleh, Wassim, additional, Tawadros, Mariam, additional, Yatsynovich, Yan, additional, Ramanan, Tharmathai, additional, Youssef, Mina, additional, Hanna, Nader, additional, Khalil, Mofid, additional, Al-Azizi, Karim M., additional, Shamoun, Fadi, additional, Page, Brian, additional, and Corbelli, John, additional

Published
2019
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32. Neural Net Modeling of Checkpoint Inhibitor Related Myocarditis and Steroid Response.

Author

Stefanovic F, Gomez-Caminero A, Jacobs DM, Subramanian P, Puzanov I, Chilbert MR, Feuerstein SG, Yatsynovich Y, Switzer B, and Schentag JJ

Abstract

Background: Serious but rare side effects associated with immunotherapy pose a difficult problem for regulators and practitioners. Immune checkpoint inhibitors (ICIs) have come into widespread use in oncology in recent years and are associated with rare cardiotoxicity, including potentially fatal myocarditis. To date, no comprehensive model of myocarditis progression and outcomes integrating time-series based laboratory and clinical signals has been constructed. In this paper, we describe a time-series neural net (NN) model of ICI-related myocarditis derived using supervised machine learning., Methods: We extracted and modeled data from electronic medical records of ICI-treated patients who had an elevation in their troponin. All data collection was performed using an electronic case report form, with approximately 300 variables collected on as many occasions as available, yielding 6000 data elements per patient over their clinical course. Key variables were scored 0-5 and sequential assessments were used to construct the model. The NN model was developed in MatLab and applied to analyze the time course and outcomes of treatments., Results: We identified 23 patients who had troponin elevations related to their ICI therapy, 15 of whom had ICI-related myocarditis, while the remaining 8 patients on ICIs had other causes for troponin elevation, such as myocardial infarction. Our model showed that troponin was the most predictive biomarker of myocarditis, in line with prior studies. Our model also identified early and aggressive use of steroid treatment as a major determinant of survival for cases of grade 3 or 4 ICI-related myocarditis., Conclusion: Our study shows that a supervised learning NN can be used to model rare events such as ICI-related myocarditis and thus provide clinical insight into drivers of progression and treatment outcomes. These findings direct attention to early detection biomarkers and clinical symptoms as the best means of implementing early and potentially life-saving steroid treatment., Competing Interests: Dr Andres Gomez-Caminero is an employee of Bristol Myers Squibb. Dr Igor Puzanov reports he has received consulting fees from Iovance, Nektar, Oncorus, Merck in past 2 years. Dr Jerome J Schentag reports grants from Bristol Myers Squibb, during the conduct of the study. The authors acknowledge Bristol Myers Squibb funded this work but have no other competing interests., (© 2022 Stefanovic et al.)

Published
2022
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33. Uncommon Coronary Abnormalities in a Patient with Discoid Lupus Erythematosus.

Author

Valencia D, Linares J, Das S, Valencia V, and Yatsynovich Y

Abstract

A 43-year-old male presented with shortness of breath and palpitations. Physical examination was significant for skin lichenification, an erythematous maculopapular rash with annular plaques, a fissured tongue, and digital clubbing. Electrocardiogram captured a supraventricular tachycardia and right bundle branch block. Left heart catheterization found several proximal left coronary artery branch aneurysms, a right coronary-pulmonary artery fistula, venous-luminal vessels between the right heart chambers and cardiac veins, and thebesian venous lakes. Functional cardiac capacity was reduced, with left ventricular ejection fraction of 35 to 40%, on ventriculogram. A diagnosis of discoid lupus erythematosus was established after skin biopsies revealed systemic lupus erythematosus-like features but negative anti-nuclear, anti-Smith, anti-ds-deoxyribonucleic acid, anti-Ro, and anti-La antibodies. The case reported is unique, in that while our patient had pathologic electrophysiologic changes typically seen with autoimmune disease, the patient had many anatomical cardiac anomalies without atherosclerotic coronary disease. It is uncertain whether these findings are purely incidental or are related to an underlying genetic disorder., Competing Interests: Conflict of Interest None., (International College of Angiology. This article is published by Thieme.)

Published
2020
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