Querying Art History Data on the Web (7): Considerations: Art historical data and research questions

Where do we find Art History Data for our research? What are data-based research questions and how can we answer them? What example projects exist and what are ideas for own research? This video is part of the series Querying Museum Data/ Art History Data on the Web. It was created by PD Dr. Angela Dreßen (Andrew W. Mellon Librarian) and Elodie Sacher as a cooperation of the I TATTI Harvard University Center for Italian Renaissance Studies, the Technische Universität Dresden and the Project Digital4Humanities at the Friedrich-Schiller-Universität Jena. For further information visit the Digital4Humanities-website: https://www.gw.uni-jena.de/fakultaet/juniorprofessur-fuer-digital-humanities-bild-objekt/forschung/Digital4Humanitie

Querying Art History Data on the Web (4): Practical example: Developing research questions with API query and Jupyter Notebook

What is the link between API queries and the museum`s data base? How can you develop a research question out of this and carry out research including data querying, processing and result generation with the help of Jupyter Notebook? This video is part of the series Querying Museum Data/ Art History Data on the Web. It was created by Elodie Sacher (University Jena) and PD Dr. Angela Dreßen (Andrew W. Mellon Librarian) as a cooperation of the I TATTI Harvard University Center for Italian Renaissance Studies, the Technische Universität Dresden and the Project Digital4Humanities at the Friedrich-Schiller-Universität Jena. For further information visit the Digital4Humanities-website: https://www.gw.uni-jena.de/fakultaet/juniorprofessur-fuer-digital-humanities-bild-objekt/forschung/Digital4Humanitie

Querying Art History Data on the Web (5): Modelling Data with OpenRefine

What is OpenRefine? Why should you use it and what are requirements and examples for this? This video is part of the series Querying Museum Data/ Art History Data on the Web. It was created by PD Dr. Angela Dreßen (Andrew W. Mellon Librarian) and Elodie Sacher as a cooperation of the I TATTI Harvard University Center for Italian Renaissance Studies, the Technische Universität Dresden and the Project Digital4Humanities at the Friedrich-Schiller-Universität Jena. For further information visit the Digital4Humanities-website: https://www.gw.uni-jena.de/fakultaet/juniorprofessur-fuer-digital-humanities-bild-objekt/forschung/Digital4Humanitie

Querying Art History Data on the Web (3): Practical example: Developing research questions with SPARQL

What is SPARQL? How can it be used for own research questions in the context of Art History data? Which research questions are suitable that can be processed with SPARQL? This video is part of the series Querying Museum Data/ Art History Data on the Web. It was created by PD Dr. Angela Dreßen (Andrew W. Mellon Librarian) and Elodie Sacher as a cooperation of the I TATTI Harvard University Center for Italian Renaissance Studies, the Technische Universität Dresden and the Project Digital4Humanities at the Friedrich-Schiller-Universität Jena. For further information visit the Digital4Humanities-website: https://www.gw.uni-jena.de/fakultaet/juniorprofessur-fuer-digital-humanities-bild-objekt/forschung/Digital4Humanitie

Querying Art History Data on the Web (6): Working with digital images and IIIF

What is IIIF? How can you work with it in connection with your own (image-related) projects? This video is part of the series Querying Museum Data/ Art History Data on the Web. It was created by PD Dr. Angela Dreßen (Andrew W. Mellon Librarian), Gianmarco Spinaci (Digital Humanities Research Associate at I Tatti) and Elodie Sacher as a cooperation of the I TATTI Harvard University Center for Italian Renaissance Studies, the Technische Universität Dresden and the Project Digital4Humanities at the Friedrich-Schiller-Universität Jena. For further information visit the Digital4Humanities-website: https://www.gw.uni-jena.de/fakultaet/juniorprofessur-fuer-digital-humanities-bild-objekt/forschung/Digital4Humanitie

Wearable electrocardiogram devices in patients with congenital long QT syndrome: The SMART-QT study

International audienceBackground: In patients with congenital long QT syndrome (LQTS), the risk of ventricular arrhythmia is correlated with the duration of the corrected QT interval and the changes in the ST-T wave pattern on the 12-lead surface electrocardiogram (12L-ECG). Remote monitoring of these variables could be useful.Aim: To evaluate the abilities of two wearable electrocardiogram devices (Apple Watch and KardiaMobile 6L) to provide reliable electrocardiograms in terms of corrected QT interval and ST-T wave patterns in patients with LQTS.Methods: In a prospective multicentre study (ClinicalTrials.gov identifier: NCT04728100), a 12L-ECG, a 6-lead KardiaMobile 6L electrocardiogram and two single-lead Apple Watch electrocardiograms were recorded in patients with LQTS. The corrected QT interval and ST-T wave patterns were evaluated manually.Results: Overall, 98 patients with LQTS were included; 12.2% were children and 92.8% had a pathogenic variant in an LQTS gene. The main genotypes were LQTS type 1 (40.8%), LQTS type 2 (36.7%) and LQTS type 3 (7.1%); rarer genotypes were also represented. When comparing the ST-T wave patterns obtained with the 12L-ECG, the level of agreement was moderate with the Apple Watch (k = 0.593) and substantial with the KardiaMobile 6L (k = 0.651). Regarding the corrected QT interval, the correlation with 12L-ECG was strong for the Apple Watch (r = 0.703 in lead II) and moderate for the KardiaMobile 6L (r = 0.593). There was a slight overestimation of corrected QT interval with the Apple Watch and a subtle underestimation with the KardiaMobile 6L.Conclusions: In patients with LQTS, the corrected QT interval and ST-T wave patterns obtained with the Apple Watch and the KardiaMobile 6L correlated with the 12L-ECG. Although wearable electrocardiogram devices cannot replace the 12L-ECG for the follow-up of these patients, they could be interesting additional monitoring tools

Malignant Purkinje Ectopy induced by Sodium-channel Blocker

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Sex differences in the origin of Purkinje ectopy-initiated idiopathic ventricular fibrillation

International audienceBackground: Purkinje ectopics (PurkEs) are major triggers of idiopathic ventricular fibrillation (VF). Identifying clinical factors associated with specific PurkE characteristics could yield insights into the mechanisms of Purkinje-mediated arrhythmogenicity.Objective: The purpose of this study was to examine the associations of clinical, environmental, and genetic factors with PurkE origin in patients with PurkE-initiated idiopathic VF.Methods: Consecutive patients with PurkE-initiated idiopathic VF from 4 arrhythmia referral centers were included. We evaluated demographic characteristics, medical history, clinical circumstances associated with index VF events, and electrophysiological characteristics of PurkEs. An electrophysiology study was performed in most patients to confirm the Purkinje origin.Results: Eighty-three patients were included (mean age 38 ± 14 years; 44 [53%] women), of whom 32 had a history of syncope. Forty-four patients had VF at rest. PurkEs originated from the right ventricle (RV) in 41 patients (49%), from the left ventricle (LV) in 36 (44%), and from both ventricles in 6 (7%). Seasonal and circadian distributions of VF episodes were similar according to PurkE origin. The clinical characteristics of patients with RV vs LV PurkE origins were similar, except for sex. RV PurkEs were more frequent in men than in women (76% vs 24%), whereas LV and biventricular PurkEs were more frequent in women (81% vs 19% and 83% vs 17%, respectively) (P < .0001).Conclusion: PurkEs triggering idiopathic VF originate dominantly from the RV in men and from the LV or both ventricles in women, adding to other sex-related arrhythmias such as Brugada syndrome or long QT syndrome. Sex-based factors influencing Purkinje arrhythmogenicity warrant investigation

Type 3 long QT syndrome: Is the effectiveness of treatment with beta-blockers population-specific?

International audienceBackground: The efficacy of beta-blocker treatment in type 3 long QT syndrome (LQT3) remains debated.Objectives: The purpose of this study was to test the hypothesis that beta-blocker use is associated with cardiac events (CEs) in a French cohort of LQT3 patients.Methods: All patients with a likely pathogenic/pathogenic variant in the SCN5A gene (linked to LQT3) were included and followed-up. Documented ventricular tachycardia/ventricular fibrillation, torsades de pointes, aborted cardiac arrest, sudden death, and appropriate shocks were considered as severe cardiac events (SCEs). CEs also included syncope.Results: We included 147 patients from 54 families carrying 23 variants. Six of the patients developed symptoms before the age of 1 year and were analyzed separately. The 141 remaining patients (52.5% male; median age at diagnosis 24.0 years) were followed-up for a median of 11 years. The probabilities of a CE and an SCE from birth to the age of 40 were 20.5% and 9.9%, respectively. QTc prolongation (hazard ratio [HR] 1.12 [1.0-1.2]; P = .005]) and proband status (HR 4.07 [1.9-8.9]; P <.001) were independently associated with the occurrence of CEs. Proband status (HR 8.13 [1.7-38.8]; P = .009) was found to be independently associated with SCEs, whereas QTc prolongation (HR 1.11 [1.0-1.3]; P = .108) did not reach statistical significance. The cumulative probability of the age at first CE/SCE was not lower in patients treated with a beta-blocker.Conclusion: In agreement with the literature, proband status and lengthened QTc were associated with a higher risk of CEs. Our data do not show a protective effect of beta-blocker treatment

Testing the burden of rare variation in arrhythmia-susceptibility genes provides new insights into molecular diagnosis for Brugada syndrome

International audienceThe Brugada syndrome (BrS) is a rare heritable cardiac arrhythmia disorder associated with ventricular fibrillation and sudden cardiac death. Mutations in the SCN5A gene have been causally related to BrS in 20-30% of cases. Twenty other genes have been described as involved in BrS, but their overall contribution to disease prevalence is still unclear. This study aims to estimate the burden of rare coding variation in arrhythmia-susceptibility genes among a large group of patients with BrS. We have developed a custom kit to capture and sequence the coding regions of 45 previously reported arrhythmia-susceptibility genes and applied this kit to 167 index cases presenting with a Brugada pattern on the electrocardiogram as well as 167 individuals aged over 65-year old and showing no history of cardiac arrhythmia. By applying burden tests, a significant enrichment in rare coding variation (with a minor allele frequency below 0.1%) was observed only for SCN5A, with rare coding variants carried by 20.4% of cases with BrS versus 2.4% of control individuals (P = 1.4 × 10(-7)). No significant enrichment was observed for any other arrhythmia-susceptibility gene, including SCN10A and CACNA1C. These results indicate that, except for SCN5A, rare coding variation in previously reported arrhythmia-susceptibility genes do not contribute significantly to the occurrence of BrS in a population with European ancestry. Extreme caution should thus be taken when interpreting genetic variation in molecular diagnostic setting, since rare coding variants were observed in a similar extent among cases versus controls, for most previously reported BrS-susceptibility gene