A Prognostic Survival Model Incorporating Patient-Reported Outcomes for Transplant-Ineligible Patients With Multiple Myeloma
Oncologist. 2024 Apr 18:oyae041. doi: 10.1093/oncolo/oyae041. Online ahead of print.ABSTRACTDeveloping prognostic tools specifically for patients themselves represents an important step in empowering patients to engage in shared decision-making. Incorporating patient-reported outcomes may improve the accuracy of these prognostic tools. We conducted a retrospective population-based study of transplant-ineligible (TIE) patients with multiple myeloma (MM) diagnosed between January 2007 and December 2018. A multivariable Cox regression model was developed to predict the risk of death within 1-year period from the index date. W...
Source: The Oncologist - April 18, 2024 Category: Cancer & Oncology Authors: Hira Mian Hsien Seow Amaris K Balitsky Matthew C Cheung Anastasia Gayowsky Jason Tay Tanya M Wildes Arleigh McCurdy Alissa Visram Irwindeep Sandhu Rinku Sutradhar Source Type: research
Diagnosis and Management of Cardiac Sarcoidosis: A Scientific Statement From the American Heart Association
Circulation. 2024 Apr 18. doi: 10.1161/CIR.0000000000001240. Online ahead of print.ABSTRACTCardiac sarcoidosis is an infiltrative cardiomyopathy that results from granulomatous inflammation of the myocardium and may present with high-grade conduction disease, ventricular arrhythmias, and right or left ventricular dysfunction. Over the past several decades, the prevalence of cardiac sarcoidosis has increased. Definitive histological confirmation is often not possible, so clinicians frequently face uncertainty about the accuracy of diagnosis. Hence, the likelihood of cardiac sarcoidosis should be thought of as a continuum (d...
Source: Circulation - April 18, 2024 Category: Cardiology Authors: Richard K Cheng Michelle M Kittleson Craig J Beavers David H Birnie Ron Blankstein Paco E Bravo Nisha A Gilotra Marc A Judson Kristen K Patton Leonie Rose-Bovino American Heart Association Heart Failure and Transplantation Committee of the Council on Clin Source Type: research
Long ‐term efficacy and safety of tailored immunosuppressive therapy in immune‐mediated biopsy‐proven myocarditis: A propensity‐weighted study
ConclusionsProlonged tailored IS is effective and safe in BP immune-mediated myocarditis irrespective of histology and clinical presentation. (Source: European Journal of Heart Failure)
Source: European Journal of Heart Failure - April 17, 2024 Category: Cardiology Authors: Alida Linda Patrizia Caforio,
Andrea Silvio Giordani,
Anna Baritussio,
Davide Marcolongo,
Cristina Vicenzetto,
Giuseppe Tarantini,
Massimo Napodano,
Giuseppe Toscano,
Dario Gregori,
Gloria Brigiari,
Patrizia Bartolotta,
Elisa Carturan,
Monica Tags: Research Article Source Type: research
Can artificial intelligence help Heart Teams make decisions?
EuroIntervention. 2024 Apr 15;20(8):e465-e466. doi: 10.4244/EIJ-E-24-00016.NO ABSTRACTPMID:38629423 | DOI:10.4244/EIJ-E-24-00016 (Source: EuroIntervention)
Source: EuroIntervention - April 17, 2024 Category: Cardiovascular & Thoracic Surgery Authors: Valentin Koch Source Type: research
A study of ChatGPT in facilitating Heart Team decisions on severe aortic stenosis
CONCLUSIONS: The use of LLMs offers promising opportunities to improve the HT decision-making process. This study showed that ChatGPT's decisions were consistent with those of the HT in a large proportion of cases. This technology could serve as a failsafe, highlighting potential areas of discrepancy when its decisions diverge from those of the HT. Further research is necessary to solidify our understanding of how AI can be integrated to enhance the decision-making processes of HTs.PMID:38629422 | DOI:10.4244/EIJ-D-23-00643 (Source: EuroIntervention)
Source: EuroIntervention - April 17, 2024 Category: Cardiovascular & Thoracic Surgery Authors: Adil Salihu David Meier Nathalie Noirclerc Ioannis Skalidis Sarah Mauler-Wittwer Frederique Recordon Matthias Kirsch Christan Roguelov Alexandre Berger Xiaowu Sun Emmanuel Abbe Carlo Marcucci Valentina Rancati Lorenzo Rosner Emanuelle Scala David C Rotzin Source Type: research
Mechanism Exploration on the Immunoregulation of Allogeneic Heart Transplantation Rejection in Rats With Exosome miRNA and Proteins From Overexpressed IDO1 BMSCs
This study aims to elucidate the immune-related functional mechanisms of exosomes (Exos) derived from bone marrow-derived mesenchymal stem cells (BMSCs) overexpressing IDO1 in the context of allogeneic heart transplantation (HTx) rejection. A rat model of allogeneic HTx was established. Exos were extracted after transfection with oe-IDO1 and oe-NC from rat BMSCs. Exos were administered via the caudal vein for treatment. The survival of rats was analyzed, and reverse transcription qualitative PCR (RT-qPCR) and immunohistochemistry (IHC) were employed to detect the expression of related genes. Histopathological examination w...
Source: Cell Transplantation - April 17, 2024 Category: Cytology Authors: Rui Zheng Xinxin Wu Si Li Xinhao Chen Dan Yan Jigang He Source Type: research
Mechanism Exploration on the Immunoregulation of Allogeneic Heart Transplantation Rejection in Rats With Exosome miRNA and Proteins From Overexpressed IDO1 BMSCs
This study aims to elucidate the immune-related functional mechanisms of exosomes (Exos) derived from bone marrow-derived mesenchymal stem cells (BMSCs) overexpressing IDO1 in the context of allogeneic heart transplantation (HTx) rejection. A rat model of allogeneic HTx was established. Exos were extracted after transfection with oe-IDO1 and oe-NC from rat BMSCs. Exos were administered via the caudal vein for treatment. The survival of rats was analyzed, and reverse transcription qualitative PCR (RT-qPCR) and immunohistochemistry (IHC) were employed to detect the expression of related genes. Histopathological examination w...
Source: Cell Transplantation - April 17, 2024 Category: Cytology Authors: Rui Zheng Xinxin Wu Si Li Xinhao Chen Dan Yan Jigang He Source Type: research
Can artificial intelligence help Heart Teams make decisions?
EuroIntervention. 2024 Apr 15;20(8):e465-e466. doi: 10.4244/EIJ-E-24-00016.NO ABSTRACTPMID:38629423 | PMC:PMC11017220 | DOI:10.4244/EIJ-E-24-00016 (Source: EuroIntervention)
Source: EuroIntervention - April 17, 2024 Category: Cardiovascular & Thoracic Surgery Authors: Valentin Koch Source Type: research
A study of ChatGPT in facilitating Heart Team decisions on severe aortic stenosis
CONCLUSIONS: The use of LLMs offers promising opportunities to improve the HT decision-making process. This study showed that ChatGPT's decisions were consistent with those of the HT in a large proportion of cases. This technology could serve as a failsafe, highlighting potential areas of discrepancy when its decisions diverge from those of the HT. Further research is necessary to solidify our understanding of how AI can be integrated to enhance the decision-making processes of HTs.PMID:38629422 | PMC:PMC11017225 | DOI:10.4244/EIJ-D-23-00643 (Source: EuroIntervention)
Source: EuroIntervention - April 17, 2024 Category: Cardiovascular & Thoracic Surgery Authors: Adil Salihu David Meier Nathalie Noirclerc Ioannis Skalidis Sarah Mauler-Wittwer Frederique Recordon Matthias Kirsch Christan Roguelov Alexandre Berger Xiaowu Sun Emmanuel Abbe Carlo Marcucci Valentina Rancati Lorenzo Rosner Emanuelle Scala David C Rotzin Source Type: research
Can artificial intelligence help Heart Teams make decisions?
EuroIntervention. 2024 Apr 15;20(8):e465-e466. doi: 10.4244/EIJ-E-24-00016.NO ABSTRACTPMID:38629423 | PMC:PMC11017220 | DOI:10.4244/EIJ-E-24-00016 (Source: EuroIntervention)
Source: EuroIntervention - April 17, 2024 Category: Cardiovascular & Thoracic Surgery Authors: Valentin Koch Source Type: research
A study of ChatGPT in facilitating Heart Team decisions on severe aortic stenosis
CONCLUSIONS: The use of LLMs offers promising opportunities to improve the HT decision-making process. This study showed that ChatGPT's decisions were consistent with those of the HT in a large proportion of cases. This technology could serve as a failsafe, highlighting potential areas of discrepancy when its decisions diverge from those of the HT. Further research is necessary to solidify our understanding of how AI can be integrated to enhance the decision-making processes of HTs.PMID:38629422 | PMC:PMC11017225 | DOI:10.4244/EIJ-D-23-00643 (Source: EuroIntervention)
Source: EuroIntervention - April 17, 2024 Category: Cardiovascular & Thoracic Surgery Authors: Adil Salihu David Meier Nathalie Noirclerc Ioannis Skalidis Sarah Mauler-Wittwer Frederique Recordon Matthias Kirsch Christan Roguelov Alexandre Berger Xiaowu Sun Emmanuel Abbe Carlo Marcucci Valentina Rancati Lorenzo Rosner Emanuelle Scala David C Rotzin Source Type: research
Can artificial intelligence help Heart Teams make decisions?
EuroIntervention. 2024 Apr 15;20(8):e465-e466. doi: 10.4244/EIJ-E-24-00016.NO ABSTRACTPMID:38629423 | PMC:PMC11017220 | DOI:10.4244/EIJ-E-24-00016 (Source: EuroIntervention)
Source: EuroIntervention - April 17, 2024 Category: Cardiovascular & Thoracic Surgery Authors: Valentin Koch Source Type: research
A study of ChatGPT in facilitating Heart Team decisions on severe aortic stenosis
CONCLUSIONS: The use of LLMs offers promising opportunities to improve the HT decision-making process. This study showed that ChatGPT's decisions were consistent with those of the HT in a large proportion of cases. This technology could serve as a failsafe, highlighting potential areas of discrepancy when its decisions diverge from those of the HT. Further research is necessary to solidify our understanding of how AI can be integrated to enhance the decision-making processes of HTs.PMID:38629422 | PMC:PMC11017225 | DOI:10.4244/EIJ-D-23-00643 (Source: EuroIntervention)
Source: EuroIntervention - April 17, 2024 Category: Cardiovascular & Thoracic Surgery Authors: Adil Salihu David Meier Nathalie Noirclerc Ioannis Skalidis Sarah Mauler-Wittwer Frederique Recordon Matthias Kirsch Christan Roguelov Alexandre Berger Xiaowu Sun Emmanuel Abbe Carlo Marcucci Valentina Rancati Lorenzo Rosner Emanuelle Scala David C Rotzin Source Type: research
Can artificial intelligence help Heart Teams make decisions?
EuroIntervention. 2024 Apr 15;20(8):e465-e466. doi: 10.4244/EIJ-E-24-00016.NO ABSTRACTPMID:38629423 | PMC:PMC11017220 | DOI:10.4244/EIJ-E-24-00016 (Source: EuroIntervention)
Source: EuroIntervention - April 17, 2024 Category: Cardiovascular & Thoracic Surgery Authors: Valentin Koch Source Type: research
A study of ChatGPT in facilitating Heart Team decisions on severe aortic stenosis
CONCLUSIONS: The use of LLMs offers promising opportunities to improve the HT decision-making process. This study showed that ChatGPT's decisions were consistent with those of the HT in a large proportion of cases. This technology could serve as a failsafe, highlighting potential areas of discrepancy when its decisions diverge from those of the HT. Further research is necessary to solidify our understanding of how AI can be integrated to enhance the decision-making processes of HTs.PMID:38629422 | PMC:PMC11017225 | DOI:10.4244/EIJ-D-23-00643 (Source: EuroIntervention)
Source: EuroIntervention - April 17, 2024 Category: Cardiovascular & Thoracic Surgery Authors: Adil Salihu David Meier Nathalie Noirclerc Ioannis Skalidis Sarah Mauler-Wittwer Frederique Recordon Matthias Kirsch Christan Roguelov Alexandre Berger Xiaowu Sun Emmanuel Abbe Carlo Marcucci Valentina Rancati Lorenzo Rosner Emanuelle Scala David C Rotzin Source Type: research
