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1. Integrative multi-omics profiling in human decedents receiving pig heart xenografts

Author

Schmauch, Eloi, Piening, Brian, Mohebnasab, Maedeh, Xia, Bo, Zhu, Chenchen, Stern, Jeffrey, Zhang, Weimin, Dowdell, Alexa K., Kim, Jacqueline I., Andrijevic, David, Khalil, Karen, Jaffe, Ian S., Loza, Bao-Li, Gragert, Loren, Camellato, Brendan R., Oliveira, Michelli F., O’Brien, Darragh P., Chen, Han M., Weldon, Elaina, Gao, Hui, Gandla, Divya, Chang, Andrew, Bhatt, Riyana, Gao, Sarah, Lin, Xiangping, Reddy, Kriyana P., Kagermazova, Larisa, Habara, Alawi H., Widawsky, Sophie, Liang, Feng-Xia, Sall, Joseph, Loupy, Alexandre, Heguy, Adriana, Taylor, Sarah E. B., Zhu, Yinan, Michael, Basil, Jiang, Lihua, Jian, Ruiqi, Chong, Anita S., Fairchild, Robert L., Linna-Kuosmanen, Suvi, Kaikkonen, Minna U., Tatapudi, Vasishta, Lorber, Marc, Ayares, David, Mangiola, Massimo, Narula, Navneet, Moazami, Nader, Pass, Harvey, Herati, Ramin S., Griesemer, Adam, Kellis, Manolis, Snyder, Michael P., Montgomery, Robert A., Boeke, Jef D., and Keating, Brendan J.

Published
2024
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2. Pig-to-human heart xenotransplantation in two recently deceased human recipients

Author

Moazami, Nader, Stern, Jeffrey M., Khalil, Karen, Kim, Jacqueline I., Narula, Navneet, Mangiola, Massimo, Weldon, Elaina P., Kagermazova, Larisa, James, Les, Lawson, Nikki, Piper, Greta L., Sommer, Philip M., Reyentovich, Alex, Bamira, Daniel, Saraon, Tajinderpal, Kadosh, Bernard S., DiVita, Michael, Goldberg, Randal I., Hussain, Syed T., Chan, Justin, Ngai, Jennie, Jan, Thomas, Ali, Nicole M., Tatapudi, Vasishta S., Segev, Dorry L., Bisen, Shivani, Jaffe, Ian S., Piegari, Benjamin, Kowalski, Haley, Kokkinaki, Maria, Monahan, Jeffrey, Sorrells, Lori, Burdorf, Lars, Boeke, Jef D., Pass, Harvey, Goparaju, Chandra, Keating, Brendan, Ayares, David, Lorber, Marc, Griesemer, Adam, Mehta, Sapna A., Smith, Deane E., and Montgomery, Robert A.

Published
2023
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3. AWAreness during REsuscitation - II: A multi-center study of consciousness and awareness in cardiac arrest

Author

Parnia, Sam, Keshavarz Shirazi, Tara, Patel, Jignesh, Tran, Linh, Sinha, Niraj, O'Neill, Caitlin, Roellke, Emma, Mengotto, Amanda, Findlay, Shannon, McBrine, Michael, Spiegel, Rebecca, Tarpey, Thaddeus, Huppert, Elise, Jaffe, Ian, Gonzales, Anelly M., Xu, Jing, Koopman, Emmeline, Perkins, Gavin D, Vuylsteke, Alain, Bloom, Benjamin M., Jarman, Heather, Nam Tong, Hiu, Chan, Louisa, Lyaker, Michael, Thomas, Matthew, Velchev, Veselin, Cairns, Charles B., Sharm, Rahul, Kulstad, Erik, Scherer, Elizabeth, O'Keeffe, Terence, Foroozesh, Mahtab, Abe, Olumayowa, Ogedegbe, Chinwe, Girgis, Amira, Pradhan, Deepak, and Deakin, Charles D.

Published
2023
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4. Single center utilization and post‐transplant outcomes of thoracoabdominal normothermic regional perfusion deceased cardiac donor organs

Author

Motter, Jennifer D., primary, Jaffe, Ian S., additional, Moazami, Nader, additional, Smith, Deane E., additional, Kon, Zachary N., additional, Piper, Greta L., additional, Sommer, Philip M., additional, Reyentovich, Alex, additional, Chang, Stephanie H., additional, Aljabban, Imad, additional, Montgomery, Robert A., additional, Segev, Dorry L., additional, Massie, Allan B., additional, and Lonze, Bonnie E., additional

Published
2024
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5. C-33 | Clinical Outcomes After Percutaneous Mechanical Thrombectomy in Acute Pulmonary Embolism: A Real-World Single Center Experience

Author

Zhang, Robert S., primary, Yuriditsky, Eugene, additional, Alam, Usman, additional, Jaffe, Ian, additional, Grossman, Kelsey, additional, Singh, Arushi, additional, Greco, Allison A., additional, Postelnicu, Radu, additional, Mukherjee, Vikramjit, additional, Keller, Norma, additional, Alviar, Carlos L., additional, and Bangalore, Sripal, additional

Published
2023
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6. Evaluating ChatGPT in Information Extraction: A Case Study of Extracting Cognitive Exam Dates and Scores

Author

Jethani, Neil, primary, Jones, Simon, additional, Genes, Nicholas, additional, Major, Vincent J., additional, Jaffe, Ian S., additional, Cardillo, Anthony B., additional, Heilenbach, Noah, additional, Ali, Nadia Fazal, additional, Bonanni, Luke J., additional, Clayburn, Andrew J., additional, Khera, Zain, additional, Sadler, Erica C., additional, Prasad, Jaideep, additional, Schlacter, Jamie, additional, Liu, Kevin, additional, Silva, Benjamin, additional, Montgomery, Sophie, additional, Kim, Eric J., additional, Lester, Jacob, additional, Hill, Theodore M., additional, Avoricani, Alba, additional, Chervonski, Ethan, additional, Davydov, James, additional, Small, William, additional, Chakravartty, Eesha, additional, Grover, Himanshu, additional, Dodson, John, additional, Brody, Abraham A., additional, Aphinyanaphongs, Yindalon, additional, and Razavian, Narges, additional

Published
2023
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7. Awareness During Resuscitation - II: A Multi-Center Study of Consciousness and Awareness in Cardiac Arrest

Author

parnia, sam, primary, Keshavarz Shirazi, Tara, additional, Patel, Jignesh K., additional, Tran, Linh, additional, Sinha, Niraj, additional, Caitlin, O'Neill, additional, Roellke, Emma, additional, Mengotto, Amanda, additional, Findlay, Shannon, additional, McBrine, Michael, additional, Spiegel, Rebecca, additional, Tarpey, Thaddeus, additional, Huppert, Elise, additional, Jaffe, Ian S., additional, Gonzales, Anelly M., additional, Xu, Jing, additional, Koopman, Emmeline, additional, Perkins, Gavin D., additional, Vuylsteke, Alain, additional, Bloom, Ben, additional, Jarman, Heather, additional, Nam Tong, Hiu, additional, Chan, Louisa, additional, Michael, Lyaker, additional, Thomas, Matthew, additional, Velchev, Veselin, additional, Cairns, Charles, additional, Sharma, Rahul, additional, Kulstad, Erik, additional, Schrerer, Elizabeth, additional, O'Keeffe, Terence, additional, Foroozesh, Mahtab, additional, Abe, Olumayowa, additional, Ogedegbe, Chinwe, additional, Girgis, Amira, additional, Pradhan, Deepak, additional, and Deakin, Charles, additional

Published
2023
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8. 888: COMPARISON OF THE PROGNOSTIC VALUE OF PULMONARY DEAD SPACE PROXIES IN COVID-19 ARDS OUTCOMES

Author

Jaffe, Ian, primary, Malviya, Niharika, additional, Kelleher, Andrew, additional, Fuligni, Gabriel, additional, Belsky, Mikaela, additional, Ross, Joshua, additional, Rost, Jonathan, additional, Thakore, Nitya, additional, Nohria, Ambika, additional, Hill, Alexander, additional, Pimentel, Sydney, additional, Chkhikvadze, Tamta, additional, and Kaufman, David, additional

Published
2022
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9. 912: VENTILATORY RATIO IDENTIFIES ORGAN FAILURE RISK IN COVID-19 ARDS REQUIRING MECHANICAL VENTILATION

Author

Jaffe, Ian, primary, Malviya, Niharika, additional, Chkhikvadze, Tamta, additional, Ross, Joshua, additional, Rost, Jonathan, additional, Thakore, Nitya, additional, Kelleher, Andrew, additional, Fuligni, Gabriel, additional, Hill, Alexander, additional, Belsky, Mikaela, additional, Nohria, Ambika, additional, Pimentel, Sydney, additional, and Kaufman, David, additional

Published
2022
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10. 887: INFLUENCE OF INFLAMMATORY MARKERS AND ACUTE PHASE REACTANTS ON PULMONARY DEAD SPACE IN COVID-19 ARDS

Author

Malviya, Niharika, primary, Jaffe, Ian, additional, Ross, Joshua, additional, Hill, Alexander, additional, Belsky, Mikaela, additional, Nohria, Ambika, additional, Pimental, Sydney, additional, Rost, Jonathan, additional, Thakore, Nitya, additional, Kelleher, Andrew C., additional, Fuligni, Gabriel, additional, Chkhikvadze, Tamta, additional, and Kaufman, David, additional

Published
2022
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16. The frontlines of protecting journalism

Author

Jaffe, Ian

Subjects
Disinformation, Journalism, Organizations, Violence, Journalists, News, opinion and commentary, Sports and fitness
Abstract

Byline: Ian Jaffe My four years at Duke University have been characterized by political tumult and global uncertainty, undergirded by a growing mistrust in journalism--and more fundamentally, disbelief in the [...]

Published
2020

18. Two tournaments in Brooklyn resemble roller coaster of college

Author

Jaffe, Ian

Subjects
College basketball, Journalists, Basketball teams, News, opinion and commentary, Sports and fitness
Abstract

Byline: Ian Jaffe What's up with Duke's basketball team? That's the question my cousin asked me after the Blue Devils' 74-69 loss to North Carolina in the ACC semifinals last [...]

Published
2019

19. The frontlines of protecting journalism

Author

Jaffe, Ian

Subjects
Journalism, Disinformation, Violence, Organizations, Journalists, News, opinion and commentary, Sports and fitness
Abstract

Byline: Ian Jaffe My four years at Duke University have been characterized by political tumult and global uncertainty, undergirded by a growing mistrust in journalism--and more fundamentally, disbelief in the [...]

Published
2019

20. Pediatric Antibacterial and Antifungal Trials From 2007 to 2017

Author

Thaden, Joshua T., primary, Chiswell, Karen, additional, Jaffe, Ian, additional, Bergin, Stephen P., additional, Yang, William E., additional, Romaine, Andrew, additional, Roberts, Jamie, additional, Nambiar, Sumathi, additional, Farley, John, additional, Benjamin, Daniel K., additional, Smith, P. Brian, additional, and Tsalik, Ephraim L., additional

Published
2018
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21. The Chronicle's Year in Photos RELATED CONTENT: EDITOR'S PICKS ONLINE POLL

Author

Jaffe, Ian

Subjects
Photography, Editors, News, opinion and commentary, Sports and fitness
Abstract

Byline: Ian Jaffe Our Photography Editor Ian Jaffe takes a look back at some of the best photos of 2017. 1. Duke gets a new president: Charles York The inauguration [...]

Published
2018

22. 912: VENTILATORY RATIO IDENTIFIES ORGAN FAILURE RISK IN COVID-19 ARDS REQUIRING MECHANICAL VENTILATION.

Author

Jaffe, Ian, Malviya, Niharika, Chkhikvadze, Tamta, Ross, Joshua, Rost, Jonathan, Thakore, Nitya, Kelleher, Andrew, Fuligni, Gabriel, Hill, Alexander, Belsky, Mikaela, Nohria, Ambika, Pimentel, Sydney, and Kaufman, David

Subjects
*ARTIFICIAL respiration, *ADULT respiratory distress syndrome, *COVID-19
Abstract

B Introduction: b Ventilatory ratio (VR) is a simple bedside index of carbon dioxide removal. We hypothesized that high VR would identify COVID-19 ARDS patients with higher risk for death and organ failure. [Extracted from the article]

Published
2023
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23. 888: COMPARISON OF THE PROGNOSTIC VALUE OF PULMONARY DEAD SPACE PROXIES IN COVID-19 ARDS OUTCOMES.

Author

Jaffe, Ian, Malviya, Niharika, Kelleher, Andrew, Fuligni, Gabriel, Belsky, Mikaela, Ross, Joshua, Rost, Jonathan, Thakore, Nitya, Nohria, Ambika, Hill, Alexander, Pimentel, Sydney, Chkhikvadze, Tamta, and Kaufman, David

Subjects
*PROGNOSIS, *ADULT respiratory distress syndrome, *COVID-19
Abstract

B Introduction: b Mortality and morbidity associated with COVID-19 acute respiratory distress syndrome (ARDS) has been associated with pulmonary vasculopathy, which has been hypothesized to increase pulmonary dead space (VD/VT). The VD/Vt proxies examined were 1) ventilatory ratio (VR), 2) estimation of VD/VT using the Harris-Benedict equation for energy expenditure (VD/VT-HB), 3) direct estimation of VD/VT using Beitler et. al.'s formula (VD/VT-Dir), and 4) corrected minute ventilation (VECorr). B Results: b For 139 subjects, mean VR was 2.08 (SD±0.80), mean VD/VT-HB was 0.614 (±0.15), mean VD/VT-Dir was 0.657 (±0.08), and mean VECorr was 12.2 (±4.6) L/min. [Extracted from the article]

Published
2023
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24. 887: INFLUENCE OF INFLAMMATORY MARKERS AND ACUTE PHASE REACTANTS ON PULMONARY DEAD SPACE IN COVID-19 ARDS.

Author

Malviya, Niharika, Jaffe, Ian, Ross, Joshua, Hill, Alexander, Belsky, Mikaela, Nohria, Ambika, Pimental, Sydney, Rost, Jonathan, Thakore, Nitya, Kelleher, Andrew C., Fuligni, Gabriel, Chkhikvadze, Tamta, and Kaufman, David

Subjects
*ACUTE phase proteins, *ADULT respiratory distress syndrome, *COVID-19
Abstract

B Introduction: b Ventilatory ratio (VR) is a bedside index of impaired ventilation that can be used as a surrogate marker for pulmonary dead space fraction (VD/VT). VR was split into high (VR>2) and low (VR< 2) groups. D-dimer over 500 ng/mL was associated with higher VR (2.3 vs. 1.8, p=0.004) and procalcitonin over 0.5 ng/mL was moderately associated with higher VR (2.2 vs 1.9, p=0.052). [Extracted from the article]

Published
2023
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26. Evaluating Large Language Models in Extracting Cognitive Exam Dates and Scores.

Author

Zhang H, Jethani N, Jones S, Genes N, Major VJ, Jaffe IS, Cardillo AB, Heilenbach N, Ali NF, Bonanni LJ, Clayburn AJ, Khera Z, Sadler EC, Prasad J, Schlacter J, Liu K, Silva B, Montgomery S, Kim EJ, Lester J, Hill TM, Avoricani A, Chervonski E, Davydov J, Small W, Chakravartty E, Grover H, Dodson JA, Brody AA, Aphinyanaphongs Y, Masurkar A, and Razavian N

Abstract

Importance: Large language models (LLMs) are crucial for medical tasks. Ensuring their reliability is vital to avoid false results. Our study assesses two state-of-the-art LLMs (ChatGPT and LlaMA-2) for extracting clinical information, focusing on cognitive tests like MMSE and CDR., Objective: Evaluate ChatGPT and LlaMA-2 performance in extracting MMSE and CDR scores, including their associated dates., Methods: Our data consisted of 135,307 clinical notes (Jan 12th, 2010 to May 24th, 2023) mentioning MMSE, CDR, or MoCA. After applying inclusion criteria 34,465 notes remained, of which 765 underwent ChatGPT (GPT-4) and LlaMA-2, and 22 experts reviewed the responses. ChatGPT successfully extracted MMSE and CDR instances with dates from 742 notes. We used 20 notes for fine-tuning and training the reviewers. The remaining 722 were assigned to reviewers, with 309 each assigned to two reviewers simultaneously. Inter-rater-agreement (Fleiss' Kappa), precision, recall, true/false negative rates, and accuracy were calculated. Our study follows TRIPOD reporting guidelines for model validation., Results: For MMSE information extraction, ChatGPT (vs. LlaMA-2) achieved accuracy of 83% (vs. 66.4%), sensitivity of 89.7% (vs. 69.9%), true-negative rates of 96% (vs 60.0%), and precision of 82.7% (vs 62.2%). For CDR the results were lower overall, with accuracy of 87.1% (vs. 74.5%), sensitivity of 84.3% (vs. 39.7%), true-negative rates of 99.8% (98.4%), and precision of 48.3% (vs. 16.1%). We qualitatively evaluated the MMSE errors of ChatGPT and LlaMA-2 on double-reviewed notes. LlaMA-2 errors included 27 cases of total hallucination, 19 cases of reporting other scores instead of MMSE, 25 missed scores, and 23 cases of reporting only the wrong date. In comparison, ChatGPT's errors included only 3 cases of total hallucination, 17 cases of wrong test reported instead of MMSE, and 19 cases of reporting a wrong date., Conclusions: In this diagnostic/prognostic study of ChatGPT and LlaMA-2 for extracting cognitive exam dates and scores from clinical notes, ChatGPT exhibited high accuracy, with better performance compared to LlaMA-2. The use of LLMs could benefit dementia research and clinical care, by identifying eligible patients for treatments initialization or clinical trial enrollments. Rigorous evaluation of LLMs is crucial to understanding their capabilities and limitations.

Published
2024
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