7 research outputs found

    Clinical correlates and prognostic impact of neurologic disorders in Takotsubo syndrome

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    © The Author(s) 2021. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.Cardiac alterations are frequently observed after acute neurological disorders. Takotsubo syndrome (TTS) represents an acute heart failure syndrome and is increasingly recognized as part of the spectrum of cardiac complications observed after neurological disorders. A systematic investigation of TTS patients with neurological disorders has not been conducted yet. The aim of the study was to expand insights regarding neurological disease entities triggering TTS and to investigate the clinical profile and outcomes of TTS patients after primary neurological disorders. The International Takotsubo Registry is an observational multicenter collaborative effort of 45 centers in 14 countries (ClinicalTrials.gov, identifier NCT01947621). All patients in the registry fulfilled International Takotsubo Diagnostic Criteria. For the present study, patients were included if complete information on acute neurological disorders were available. 2402 patients in whom complete information on acute neurological status were available were analyzed. In 161 patients (6.7%) an acute neurological disorder was identified as the preceding triggering factor. The most common neurological disorders were seizures, intracranial hemorrhage, and ischemic stroke. Time from neurological symptoms to TTS diagnosis was ≤ 2 days in 87.3% of cases. TTS patients with neurological disorders were younger, had a lower female predominance, fewer cardiac symptoms, lower left ventricular ejection fraction, and higher levels of cardiac biomarkers. TTS patients with neurological disorders had a 3.2-fold increased odds of in-hospital mortality compared to TTS patients without neurological disorders. In this large-scale study, 1 out of 15 TTS patients had an acute neurological condition as the underlying triggering factor. Our data emphasize that a wide spectrum of neurological diseases ranging from benign to life-threatening encompass TTS. The high rates of adverse events highlight the need for clinical awareness.The International Takotsubo Registry was supported by the Biss Davies Charitable Trust. Dr. Scheitz has been supported by the Corona Foundation. Dr. Templin has been supported by the H.H. Sheikh Khalifa bin Hamad Al-Thani Research Programme and the Swiss Heart Foundation.info:eu-repo/semantics/publishedVersio

    Prognostic impact of acute pulmonary triggers in patients with Takotsubo syndrome : new insights from the International Takotsubo Registry

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    © 2021 The Authors. ESC Heart Failure published by John Wiley & Sons Ltd on behalf of European Society of Cardiology. This is an open access article under the terms of the Creative Commons Attribution-NonCommercial License.Aims: Acute pulmonary disorders are known physical triggers of takotsubo syndrome (TTS). This study aimed to investigate prevalence of acute pulmonary triggers in patients with TTS and their impact on outcomes. Methods and results: Patients with TTS were enrolled from the International Takotsubo Registry and screened for triggering factors and comorbidities. Patients were categorized into three groups (acute pulmonary trigger, chronic lung disease, and no lung disease) to compare clinical characteristics and outcomes. Of the 1670 included patients with TTS, 123 (7%) were identified with an acute pulmonary trigger, and 194 (12%) had a known history of chronic lung disease. The incidence of cardiogenic shock was highest in patients with an acute pulmonary trigger compared with those with chronic lung disease or without lung disease (17% vs. 10% vs. 9%, P = 0.017). In-hospital mortality was also higher in patients with an acute pulmonary trigger than in the other two groups, although not significantly (5.7% vs. 1.5% vs. 4.2%, P = 0.13). Survival analysis demonstrated that patients with an acute pulmonary trigger had the worst long-term outcome (P = 0.002). The presence of an acute pulmonary trigger was independently associated with worse long-term mortality (hazard ratio 2.12, 95% confidence interval 1.33-3.38; P = 0.002). Conclusions: The present study demonstrates that TTS is related to acute pulmonary triggers in 7% of all TTS patients, which accounts for 21% of patients with physical triggers. The presence of acute pulmonary trigger is associated with a severe in-hospital course and a worse long-term outcome.C. T. has been supported by the H.H. Sheikh Khalifa binHamad Al-Thani Research Programme and the Swiss HeartFoundation. The InterTAK Registry is supported by the BissDavies Charitable Trust. L. S. M. has been supported by EUHORIZON 2020(SILICOFCM ID777204)info:eu-repo/semantics/publishedVersio

    Vorbereitende Willensbildung und Entscheidungsprozess beim Abschluss multilateraler voelkerrechtlicher Vertraege

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    'Das Arbeitspapier befasst sich mit der vorbereitenden Willensbildung und dem Entscheidungsprozess beim Abschluss multilateraler voelkerrechtlicher Vertraege anhand von Beispielen wie etwa dem Seerechtsuebereinkommen der Vereinten Nationen und dem Antarktis-Schutzregime. Zunaechst wird die Frage aufgeworfen, wie es zur Identifikation eines regelungsbeduerftigen Themas kommt. Sodann werden die Gruende fuer die Anmeldung eines bestimmten Lebenssachverhalts zur Regelung auf der internationalen Ebene diskutiert. Schliesslich wird dargelegt, auf welchem Wege Verhandlungen letztlich zum Vertragsschluss fuehren. Als entscheidender Aspekt wird dabei die Herbeifuehrung und Aufrechterhaltung einer moeglichst umfassenden, prozedural und inhaltlich vermittelten Akzeptanz angefuehrt. In einem Ausblick wird auf die zunehmende Komplexitaet der zu regelnden Lebenssachverhalte verwiesen. Diese gehe mit einer Prozesshaftigkeit moderner voelkerrechtlicher Willensbildung einher, welche sich fuer neuartige Mechanismen der rechtlichen Durchsetzung nutzen lasse.' (Autorenreferat)SIGLEAvailable from UuStB Koeln(38)-20000106144 / FIZ - Fachinformationszzentrum Karlsruhe / TIB - Technische InformationsbibliothekDEGerman

    Age -Related Variations in Takotsubo Syndrome

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    © 2020 by the American College of Cardiology Foundation.BACKGROUND: Takotsubo syndrome (TTS) occurs predominantly in post-menopausal women but is also found in younger patients. OBJECTIVES: This study aimed to investigate age-related differences in TTS. METHODS: Patients diagnosed with TTS and enrolled in the International Takotsubo Registry between January 2011 and February 2017 were included in this analysis and were stratified by age (younger: #50 years, middle-age: 51 to 74 years, elderly: 75years).Baselinecharacteristics,hospitalcourse,aswellasshortandlongtermmortalitywerecomparedamonggroups.RESULTSOf2,098TTSpatients,242(11.575 years). Baseline characteristics, hospital course, as well as short- and long-term mortality were compared among groups. RESULTS Of 2,098 TTS patients, 242 (11.5%) patients were #50 years of age, 1,194 (56.9%) were 51 to 74 years of age, and 662 (31.6%) were 75 years of age. Younger patients were more often men (12.4% vs. 10.9% vs. 6.3%; p ¼ 0.002) and had an increased prevalence of acute neurological (16.3% vs. 8.4% vs. 8.8%; p ¼ 0.001) or psychiatric disorders (14.1% vs. 10.3% vs. 5.6%; p < 0.001) compared with middle-aged and elderly TTS patients. Furthermore, younger patients had more often cardiogenic shock (15.3% vs. 9.1% vs. 8.1%; p ¼ 0.004) and had a numerically higher in-hospital mortality (6.6% vs. 3.6% vs. 5.1%; p ¼ 0.07). At multivariable analysis, younger (odds ratio: 1.60; 95% confidence interval: 0.86 to 3.01; p ¼ 0.14) and older age (odds ratio: 1.09; 95% confidence interval: 0.66 to 1.80; p ¼ 0.75) were not independently associated with in-hospital mortality using the middle-aged group as a reference. There were no differences in 60-day mortality rates among groups. CONCLUSIONS: A substantial proportion of TTS patients are younger than 50 years of age. TTS is associated with severe complications requiring intensive care, particularly in younger patients.info:eu-repo/semantics/publishedVersio

    Machine-learning based prediction of in-hospital death for patients with takotsubo syndrome: the InterTAK-ML model

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    Aims: Takotsubo syndrome (TTS) is associated with a substantial rate of adverse events. We sought to design a machine-learning (ML) based model to predict the risk of in-hospital death and to perform a clustering of TTS patients to identify different risk profiles. Methods and results: A Ridge Logistic Regression-based ML model for predicting in-hospital death was developed on 3482 TTS patients from the International Takotsubo Registry, randomly split in a train and an internal validation cohort (75% and 25% of the sample size, respectively) and evaluated in an external validation cohort (1037 patients). 31 clinically relevant variables were included in the prediction model. Model performance represented the primary endpoint and was assessed according to area under the receiver-operating characteristic curve (AUC), Sensitivity and Specificity. As secondary endpoint, a K-Medoids clustering algorithm was designed to stratify patients into phenotypic groups based on the ten most relevant features emerging from the main model. The overall incidence of in-hospital death was 5.2%. The InterTAK-ML model showed an AUC of 0.89 (0.85-0.92), Sensitivity 0.85 (0.78-0.95) and Specificity 0.76 (0.74-0.79) in the internal validation cohort and an AUC of 0.82 (0.73-0.91), a sensitivity of 0.74 (0.61-0.87) and a specificity of 0.79 (0.77-0.81) in the external cohort for in-hospital death prediction. By exploiting the 10 variables showing the highest feature importance, TTS patients were clustered into six groups associated with different risks of in-hospital death (28.8% vs 15.5% vs 5.4% vs 0.8% vs 0.5%) which were consistent also in the external cohort. Conclusion: A ML-based approach for the identification of TTS patients at risk of adverse short-term prognosis is feasible and effective. The InterTAK-ML model showed unprecedented discriminative capability for the prediction of in-hospital death. This article is protected by copyright. All rights reserved
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