tbuckley/cabot-search huggingface dataset:
Deep Learning Analysis of Surgical Video Recordings to Assess Nontechnical Skills
Authors: Rayan Ebnali Harari, Roger D. Dias, Lauren R. Kennedy-Metz, Giovanna Varni, Matthew Gombolay, Steven Yule, Eduardo Salas, Marco A. Zenati
Journal: JAMA Network Open (2024)

Importance Assessing nontechnical skills in operating rooms (ORs) is crucial for enhancing surgical performance and patient safety. However, automated and real-time evaluation of these skills remains challenging. Objective To explore the feasibility of using motion features extracted from surgical video recordings to automatically assess nontechnical skills during cardiac surgical procedures. Design, Setting, and Participants This cross-sectional study used video recordings of cardiac surgical procedures at a tertiary academic US hospital collected from January 2021 through May 2022. The OpenPose library was used to analyze videos to extract body pose estimations of team members and compute various team motion features. The Non-Technical Skills for Surgeons (NOTSS) assessment tool was employed for rating the OR team’s nontechnical skills by 3 expert raters. Main Outcomes and Measures NOTSS overall score, with motion features extracted from surgical videos as measures. Results A total of 30 complete cardiac surgery procedures were included: 26 (86.6%) were on-pump coronary artery bypass graft procedures and 4 (13.4%) were aortic valve replacement or repair procedures. All patients were male, and the mean (SD) age was 72 (6.3) years. All surgical teams were composed of 4 key roles (attending surgeon, attending anesthesiologist, primary perfusionist, and scrub nurse) with additional supporting roles. NOTSS scores correlated significantly with trajectory ( r = 0.51, P = .005), acceleration ( r = 0.48, P = .008), and entropy ( r = −0.52, P = .004) of team displacement. Multiple linear regression, adjusted for patient factors, showed average team trajectory (adjusted R 2 = 0.335; coefficient, 10.51 [95% CI, 8.81-12.21]; P = .004) and team displacement entropy (adjusted R 2 = 0.304; coefficient, −12.64 [95% CI, −20.54 to −4.74]; P = .003) were associated with NOTSS scores. Conclusions and Relevance This study suggests a significant link between OR team movements and nontechnical skills ratings by NOTSS during cardiac surgical procedures, suggesting automated surgical video analysis could enhance nontechnical skills assessment. Further investigation across different hospitals and specialties is necessary to validate these findings.
Social Determinants of Health and Surgical Desirability of Outcome Ranking in Older Veterans
Authors: Michael A. Jacobs, Yubo Gao, Susanne Schmidt, Paula K. Shireman, Michael Mader, Carly A. Duncan, Leslie R. M. Hausmann, Karyn B. Stitzenberg, Lillian S. Kao, Mary Vaughan Sarrazin, Daniel E. Hall
Journal: JAMA Surgery (2024)

Importance Evaluating how social determinants of health (SDOH) influence veteran outcomes is crucial, particularly for quality improvement. Objective To measure associations between SDOH, care fragmentation, and surgical outcomes using a Desirability of Outcome Ranking (DOOR). Design, Setting, And Participants This was a cohort study of US veterans using data from the Veterans Affairs (VA) Surgical Quality Improvement Program (VASQIP; 2013-2019) limited to patients aged 65 years or older with inpatient stays between 2 and 30 days, merged with multiple data sources, including Medicare. Race and ethnicity data were retrieved from VASQIP, Medicare and Medicaid beneficiary summary files, the Veterans Health Administration Corporate Data Warehouse, and the United States Veterans Eligibility Trends and Statistics file. Data were analyzed between September 2023 and February 2024. Exposure Living in a highly deprived neighborhood (Area Deprivation Index &amp;amp;gt;85), race and ethnicity used as a social construct, rurality, and care fragmentation (percentage of non-VA care days). Main Outcomes and Measures DOOR is a composite, patient-centered ranking of 26 outcomes ranging from no complication (1, best) to 90-day mortality or near-death complications (6, worst). A series of proportional odds regressions was used to assess the impact of SDOH and care fragmentation adjusted for clinical risk factors, including presentation acuity (presenting with preoperative acute serious conditions and urgent or emergent surgical procedures). Results The cohort had 93 644 patients (mean [SD] age, 72.3 [6.2] years; 91 443 [97.6%] male; 74 624 [79.7%] White). Veterans who identified as Black (adjusted odds ratio [aOR], 1.06; 95% CI, 1.02-1.10; P = .048) vs White and veterans with higher care fragmentation (per 20% increase in VA care days relative to all care days: aOR, 1.01; 95% CI, 1.01-1.02; P &amp;amp;lt; .001) were associated with worse (higher) DOOR scores until adjusting for presentation acuity. Living in rural geographic areas was associated with better DOOR scores than living in urban areas (aOR, 0.93; 95% CI, 0.91-0.96; P &amp;amp;lt; .001), and rurality was associated with lower presentation acuity (preoperative acute serious conditions: aOR, 0.88; 95% CI, 0.81-0.95; P = .001). Presentation acuity was higher in veterans identifying as Black, living in deprived neighborhoods, and with increased care fragmentation. Conclusions and Relevance Veterans identifying as Black and veterans with greater proportions of non-VA care had worse surgical outcomes. VA programs should direct resources to reduce presentation acuity among Black veterans, incentivize veterans to receive care within the VA where possible, and better coordinate veterans’ treatment and records between care sources.
POS0961 BIMEKIZUMAB MAINTAINED EFFICACY RESPONSES THROUGH 52 WEEKS IN PATIENTS WITH ACTIVE PSORIATIC ARTHRITIS: RESULTS FROM TWO PHASE 3 STUDIES
Authors: W. Tillett, Y. Tanaka, D. Thaçi, B. Ink, V. Taieb, H. Edens, R. Bajracharya, J. A. Walsh
Journal: Annals of the Rheumatic Diseases (2024)
Image-level supervision and self-training for transformer-based cross-modality tumor segmentation
Authors: Malo Alefsen de Boisredon d’Assier, Aloys Portafaix, Eugene Vorontsov, William Trung Le, Samuel Kadoury
Journal: Medical Image Analysis (2024)

Deep neural networks are commonly used for automated medical image segmentation, but models will frequently struggle to generalize well across different imaging modalities. This issue is particularly problematic due to the limited availability of annotated data, both in the target as well as the source modality, making it difficult to deploy these models on a larger scale. To overcome these challenges, we propose a new semi-supervised training strategy called MoDATTS. Our approach is designed for accurate cross-modality 3D tumor segmentation on unpaired bi-modal datasets. An image-to-image translation strategy between modalities is used to produce synthetic but annotated images and labels in the desired modality and improve generalization to the unannotated target modality. We also use powerful vision transformer architectures for both image translation (TransUNet) and segmentation (Medformer) tasks and introduce an iterative self-training procedure in the later task to further close the domain gap between modalities, thus also training on unlabeled images in the target modality. MoDATTS additionally allows the possibility to exploit image-level labels with a semi-supervised objective that encourages the model to disentangle tumors from the background. This semi-supervised methodology helps in particular to maintain downstream segmentation performance when pixel-level label scarcity is also present in the source modality dataset, or when the source dataset contains healthy controls. The proposed model achieves superior performance compared to other methods from participating teams in the CrossMoDA 2022 vestibular schwannoma (VS) segmentation challenge, as evidenced by its reported top Dice score of 0.87±0.04 for the VS segmentation. MoDATTS also yields consistent improvements in Dice scores over baselines on a cross-modality adult brain gliomas segmentation task composed of four different contrasts from the BraTS 2020 challenge dataset, where 95% of a target supervised model performance is reached when no target modality annotations are available. We report that 99% and 100% of this maximum performance can be attained if 20% and 50% of the target data is additionally annotated, which further demonstrates that MoDATTS can be leveraged to reduce the annotation burden.
Single-cell profiling of sarcomas from archival tissue reveals programs associated with resistance to immune checkpoint blockade.
Authors: Karan Luthria, Parin Shah, Blake Caldwell, Johannes C. Melms, Sinan Abuzaid, Viktoria Jakubikova, D. Zack Brodtman, Sminu Bose, Amit Dipak Amin, Patricia Ho, Jana Biermann, Somnath Tagore, Matthew Ingham, Gary K. Schwartz, Benjamin Izar
Journal: Clinical Cancer Research (2024)

Abstract Purpose: Sarcoma encompasses a diverse group of cancers that are typically resistant to current therapies, including immune checkpoint blockade (ICB), and underlying mechanisms are poorly understood. The contexture of sarcomas limits generation of high-quality data using cutting-edge molecular profiling methods, such as single-cell RNA-sequencing, thus hampering progress in understanding these understudied cancers. Experimental Design: Here, we demonstrate feasibility of producing multimodal single-cell genomics and whole-genome sequencing data from frozen tissues, profiling 75,716 cell transcriptomes of five undifferentiated pleomorphic sarcoma and three intimal sarcoma samples, including paired specimens from two patients treated with ICB. Results: We find that genomic diversity decreases in patients with response to ICB, and, in unbiased analyses, identify cancer cell programs associated with therapy resistance. Although interactions of tumor-infiltrating T lymphocytes within the tumor ecosystem increase in ICB responders, clonal expansion of CD8+ T cells alone was insufficient to predict drug responses. Conclusions: This study provides a framework for studying rare tumors and identifies salient and treatment-associated cancer cell intrinsic and tumor microenvironmental features in sarcomas.
Plant and algal lipidomes: Analysis, composition, and their societal significance
Authors: Juliette Jouhet, Eliana Alves, Yohann Boutté, Sylvain Darnet, Frédéric Domergue, Thierry Durand, Pauline Fischer, Laetitia Fouillen, Mara Grube, Jérôme Joubès, Uldis Kalnenieks, Joanna M Kargul, Inna Khozin-Goldberg, Catherine Leblanc, Sophia Letsiou, Josselin Lupette, Gabriel V Markov, Isabel Medina, Tânia Melo, Peter Mojzeš, Svetlana Momchilova, Sébastien Mongrand, Ana S P Moreira, Bruna B Neves, Camille Oger, Felisa Rey, Sergio Santaeufemia, Hubert Schaller, Guy Schleyer, Zipora Tietel, Gabrielle Zammit, Carmit Ziv, Rosário Domingues
Journal: Progress in Lipid Research (2024)

niveau recherche, publiés ou non, émanant des établissements d'enseignement et de recherche français ou étrangers, des laboratoires publics ou privés.
Immunological Response Associated with Rhinovirus Viremia During Exacerbations in Preschool Wheezers
Authors: Stéphanie Lejeune, Antoine Deschildre, Constance Morel, Laurent Béghin, Elodie Drumez, Muriel Pichavant, Philippe Gosset, Ilka Engelmann, Stephanie Rogeau, Rodrigue Dessein, Sawsan El Mourad, Héloïse Ducoin, Guillaume Pouessel, Armelle Le Mee, Sophie Boileau, Juliette Roussel, Cecile Bonnel, Caroline Thumerelle, Clémence Mordacq, Camille Cisterne, Marie Moyart, Laure-Anne Huet, Cécile Evrard, Michael Hisbergues, Bertrand Accart, Gwenola Kervoaze, Eva Vilain, Timothée Becke, Marie Fourcot, Jimmy Vandel
Journal: American Journal of Respiratory and Critical Care Medicine (2024)
OP0012 AN INVESTIGATION OF THE DIFFERENTIAL THERAPEUTIC EFFECTS OF ROMOSOZUMAB ON POSTMENOPAUSAL OSTEOPOROSIS PATIENTS WITH OR WITHOUT RHEUMATOID ARTHRITIS COMPLICATIONS: A CASE-CONTROL STUDY
Authors: K. Ebina, Y. Nagayama, M. Kashii, H. Tsuboi, G. Okamura, A. Miyama, Y. Etani, T. Noguchi, M. Hirao, T. Miura, Y. Fukuda, T. Kurihara, K. Nakata, S. Okada
Journal: Annals of the Rheumatic Diseases (2024)
AB0506 ATRIAL FIBRILLATION OUTCOMES IN PATIENTS WITH RHEUMATOID ARTHIRITS COMPARED TO GENERAL POPULATION: INSIGHTS FROM NATIONAL INPATIENT SAMPLE 2015-2019
Authors: S. Piplani, Y. Chugh, V. Jelic, V. R. Bejugam, S. Kong, S. Chaturvedi, H. Sandhu, T. Simpson, A. Kostojchin, M. Radulovic, M. Kladas, D. Damania, B. Johnson, C. Tagoe
Journal: Annals of the Rheumatic Diseases (2024)
POS0611 BASELINE IL-10 LEVELS AS A PREDICTIVE BIOMARKER FOR ACHIEVING CLINICAL RESPONSE WITH ABATACEPT IN ACPA+ PATIENTS WITH EARLY RA
Authors: J. Liu, Y. LI, K. Fu, C. Wu, P. Schafer, S. Connolly, I. M. Catlett, M. A. Maldonado, R. Wong, P. Emery, Y. Tanaka, V. Bykerk, C. O. Bingham, T. Huizinga, R. Fleischmann
Journal: Annals of the Rheumatic Diseases (2024)
AB0455 PATIENTS WITH PSORIATIC ARTHRITIS-RELATED ENTHESITIS ARE MORE LIKELY TO PERSIST ON TOFACITINIB UNDER REAL-LIFE CONDITIONS
Authors: R. Queiro, I. Braña Abascal, M. Loredo Martinez, E. Pardo Campo, S. Burger, P. González del Pozo, P. Alvarez, S. Alonso-Castro, E. Fernández-Bretón, M. Alperi-López
Journal: Annals of the Rheumatic Diseases (2024)
AB0264 INFLAMMATORY MYOPATHIES-RELATED INTERSTITIAL LUNG DISEASE LINKED TO HIGHER INVOLVEMENT OF TGB1 mRNA EXPRESSION
Authors: V. Pulito-Cueto, B. Atienza-Mateo, D. Iturbe Fernández, V. M. Mora-Cuesta, J. Batista-Liz, M. Sebastián Mora-Gil, J. M. Cifrián-Martínez, R. Blanco, R. López-Mejías
Journal: Annals of the Rheumatic Diseases (2024)
POS1227 THE REPERTOIRE OF ANTI-MODIFIED PROTEIN ANTIBODIES AND THE THERAPEUTIC RESPONSE DEGREE IN ACPA+ RA PATIENTS TREATED WITH METHOTREXATE/ABATACEPT
Authors: P. Brevet, A. Gillibert, C. Lattard, L. Drouot, O. Boyer, T. Lequerré, M. Freret, O. Vittecoq
Journal: Annals of the Rheumatic Diseases (2024)
POS0636 EXPLORING POTENTIAL SCREENING TOOLS FOR INTERSTITIAL LUNG DISEASE IN RHEUMATOID ARTHRITIS
Authors: M. Vermant, A. Kalkanis, J. Jacob, T. Goos, E. E. Cortesi, H. Cypers, N. De Crem, S. Gogaert, B. Neerinckx, V. Taelman, N. Veyt, L. De Sadeleer, P. Verschueren, W. Wuyts
Journal: Annals of the Rheumatic Diseases (2024)
AB0383 IL11, A GENETIC BIOMARKER FOR THE ACCURATE DIAGNOSIS OF INTERSTITIAL LUNG DISEASE ASSOCIATED WITH AUTOIMMUNE DISEASES
Authors: V. Pulito-Cueto, D. Iturbe Fernández, V. M. Mora-Cuesta, M. Sebastián Mora-Gil, J. Batista-Liz, B. Atienza-Mateo, J. M. Cifrián-Martínez, R. Blanco, R. López-Mejías
Journal: Annals of the Rheumatic Diseases (2024)
Heart Failure—Together We Go Farther—Reply
Authors: Amber B. Tang, Nicholas K. Brownell, Gregg C. Fonarow
Journal: JAMA Cardiology (2024)

Our website uses cookies to enhance your experience. By continuing to use our site, or clicking "Continue," you are agreeing to our Cookie Policy | Continue JAMA Cardiology HomeNew OnlineCurrent IssueFor Authors Podcast Journals JAMA JAMA Network Open JAMA Cardiology JAMA Dermatology JAMA Health Forum JAMA Internal Medicine JAMA Neurology JAMA Oncology JAMA Ophthalmology JAMA Otolaryngology–Head & Neck Surgery JAMA Pediatrics JAMA Psychiatry JAMA Surgery Archives of Neurology & Psychiatry (1919-1959) JN Learning / CMESubscribeJobsInstitutions / LibrariansReprints & Permissions Terms of Use | Privacy Policy | Accessibility Statement 2024 American Medical Association. All Rights Reserved Search All JAMA JAMA Network Open JAMA Cardiology JAMA Dermatology JAMA Forum Archive JAMA Health Forum JAMA Internal Medicine JAMA Neurology JAMA Oncology JAMA Ophthalmology JAMA Otolaryngology–Head & Neck Surgery JAMA Pediatrics JAMA Psychiatry JAMA Surgery Archives of Neurology & Psychiatry Input Search Term Sign In Individual Sign In Sign inCreate an Account Access through your institution Sign In Purchase Options: Buy this article Rent this article Subscribe to the JAMA Cardiology journal
Change to Open Access Status
Journal: JAMA Cardiology (2024)

Kirsty McDowell, MBChB; Toru Kondo, MD, PhD; Atefeh Talebi, PhD; Ken Teh, MMath, MSc, BMBS; Erasmus Bachus, MD, PhD, FHFA; Rudolf A. de Boer, MD, PhD; Ross T. Campbell, MBChB, PhD; Brian Claggett, PhD; Ashkay S. Desai, MD; Kieran F. Docherty, MBChB, PhD; Adrian F. Hernandez, MD; Silvio E. Inzucchi, MD; Mikhail N. Kosiborod, MD; Carolyn S. P. Lam, MD; Felipe Martinez, MD; Joanne Simpson, MBChB, PhD; Muthiah Vaduganathan, MD; Pardeep S. Jhund, MBChB, MSc, PhD; Scott D. Solomon, MD; John J. V. McMurray, MD
Extending Maintenance Dosing Intervals for Guselkumab in the Treatment of Patients With Psoriasis
Authors: Andrew Blauvelt, Curdin Conrad, Megan H. Noe
Journal: JAMA Dermatology (2024)

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GLP-1 Agonists for Obesity
Authors: Johan Dellgren, Ezekiel J. Emanuel, Govind Persad
Journal: JAMA (2024)

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GLP-1 Agonists for Obesity—Reply
Authors: Dariush Mozaffarian
Journal: JAMA (2024)

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Upadacitinib for Treatment of Granulomatous Cheilitis
Authors: Axel De Greef, Caroline Peeters, Olivier Dewit, Laurence de Montjoye, Marie Baeck
Journal: JAMA Dermatology (2024)

This case series examines the effectiveness of the Janus kinase inhibitor upadacitinib for the treatment of granulomatous cheilitis.
Acute Myocardial Infarction Admissions During the COVID-19 Peak
Authors: Vinay Guduguntla, Robert O. Bonow, Clyde W. Yancy
Journal: JAMA Cardiology (2024)

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Heart Failure—Together We Go Farther
Authors: Lorenz Van der Linden, Wilfried Mullens
Journal: JAMA Cardiology (2024)

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