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Author

Tuija Vasankari

Other affiliations: University of Turku
Bio: Tuija Vasankari is an academic researcher from Turku University Hospital. The author has contributed to research in topics: Atrial fibrillation & Cardioversion. The author has an hindex of 18, co-authored 58 publications receiving 2246 citations. Previous affiliations of Tuija Vasankari include University of Turku.

Papers published on a yearly basis

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Journal ArticleDOI
TL;DR: Patients with takotsubo cardiomyopathy had a higher prevalence of neurologic or psychiatric disorders than did those with an acute coronary syndrome and physical triggers, acute neurologics or psychiatric diseases, high troponin levels, and a low ejection fraction on admission were independent predictors for in-hospital complications.
Abstract: BackgroundThe natural history, management, and outcome of takotsubo (stress) cardiomyopathy are incompletely understood. MethodsThe International Takotsubo Registry, a consortium of 26 centers in Europe and the United States, was established to investigate clinical features, prognostic predictors, and outcome of takotsubo cardiomyopathy. Patients were compared with age- and sex-matched patients who had an acute coronary syndrome. ResultsOf 1750 patients with takotsubo cardiomyopathy, 89.8% were women (mean age, 66.8 years). Emotional triggers were not as common as physical triggers (27.7% vs. 36.0%), and 28.5% of patients had no evident trigger. Among patients with takotsubo cardiomyopathy, as compared with an acute coronary syndrome, rates of neurologic or psychiatric disorders were higher (55.8% vs. 25.7%) and the mean left ventricular ejection fraction was markedly lower (40.7±11.2% vs. 51.5±12.3%) (P<0.001 for both comparisons). Rates of severe in-hospital complications including shock and death were ...

1,721 citations

Journal ArticleDOI
Jelena-R. Ghadri1, Ken Kato1, Victoria L. Cammann1, Sebastiano Gili1, Stjepan Jurisic1, Davide Di Vece1, Alessandro Candreva1, Katharina J. Ding1, Jozef Micek1, Konrad A. Szawan1, Beatrice Bacchi1, Rahel Bianchi1, Rena A. Levinson2, Manfred Wischnewsky3, Burkhardt Seifert1, Susanne A. Schlossbauer1, Rodolfo Citro, Eduardo Bossone, Thomas Münzel, Maike Knorr, Susanne Heiner, Fabrizio D'Ascenzo4, Jennifer Franke5, Annahita Sarcon6, L. Christian Napp7, Miłosz Jaguszewski8, Michel Noutsias9, Hugo A. Katus5, Christof Burgdorf, Heribert Schunkert10, Holger Thiele11, Johann Bauersachs7, Carsten Tschöpe12, Burkert Pieske12, Lawrence Rajan13, Guido Michels14, Roman Pfister14, Alessandro Cuneo, Claudius Jacobshagen15, Gerd Hasenfuß15, Mahir Karakas16, Wolfgang Koenig10, Wolfgang Rottbauer17, Samir M. Said18, Ruediger C. Braun-Dullaeus18, Adrian P. Banning19, Florim Cuculi, Richard Kobza, Thomas Fischer20, Tuija Vasankari21, K.E. Juhani Airaksinen21, Grzegorz Opolski22, Rafal Dworakowski13, Philip MacCarthy13, Christoph Kaiser23, Stefan Osswald23, Leonarda Galiuto24, Filippo Crea24, Wolfgang Dichtl, Klaus Empen25, Stephan B. Felix25, Clément Delmas, Olivier Lairez, Ibrahim El-Battrawy26, Ibrahim Akin26, Martin Borggrefe26, John D. Horowitz27, Martin Kozel28, Petr Tousek28, Petr Widimský28, Ekaterina Gilyarova, Alexandra Shilova, Mikhail Gilyarov, David E. Winchester29, Christian Ukena, Jeroen J. Bax30, Abhiram Prasad31, Michael Böhm, Thomas F. Lüscher32, Frank Ruschitzka1, Christian Templin1 
TL;DR: It is demonstrated that TTS can either be benign or a life-threating condition depending on the inciting stress factor, and a new classification based on triggers is proposed, which can serve as a clinical tool to predict short- and long-term outcomes of TTS.

192 citations

Journal ArticleDOI
TL;DR: A smartphone-only solution for the detection of atrial fibrillation (AFib), which utilizes the built-in accelerometer and gyroscope sensors [inertial measurement unit, (IMU)] in the detection.
Abstract: We present a smartphone-only solution for the detection of atrial fibrillation (AFib), which utilizes the built-in accelerometer and gyroscope sensors [inertial measurement unit, (IMU)] in the detection. Depending on the patient's situation, it is possible to use the developed smartphone application either regularly or occasionally for making a measurement of the subject. The smartphone is placed on the chest of the patient who is adviced to lay down and perform a noninvasive recording, while no external sensors are needed. After that, the application determines whether the patient suffers from AFib or not. The presented method has high potential to detect paroxysmal (“silent”) AFib from large masses. In this paper, we present the preprocessing, feature extraction, feature analysis, and classification results of the envisioned AFib detection system based on clinical data acquired with a standard mobile phone equipped with Google Android OS. Test data was gathered from 16 AFib patients (validated against ECG), as well as a control group of 23 healthy individuals with no diagnosed heart diseases. We obtained an accuracy of 97.4% in AFib versus healthy classification (a sensitivity of 93.8% and a specificity of 100%). Due to the wide availability of smart devices/sensors with embedded IMU, the proposed methods could potentially also scale to other domains such as embedded body-sensor networks.

110 citations

Journal ArticleDOI
14 May 2019
TL;DR: The results indicate that the flexible and wearable wristband based on microelectromechanical sensor (MEMS) elements array could be useful in remote monitoring of cardiovascular diseases and personalized medicine.
Abstract: There is an unmet clinical need for a low cost and easy to use wearable devices for continuous cardiovascular health monitoring. A flexible and wearable wristband, based on microelectromechanical sensor (MEMS) elements array was developed to support this need. The performance of the device in cardiovascular monitoring was investigated by (i) comparing the arterial pressure waveform recordings to the gold standard, invasive catheter recording (n = 18), (ii) analyzing the ability to detect irregularities of the rhythm (n = 7), and (iii) measuring the heartrate monitoring accuracy (n = 31). Arterial waveforms carry important physiological information and the comparison study revealed that the recordings made with the wearable device and with the gold standard device resulted in almost identical (r = 0.9–0.99) pulse waveforms. The device can measure the heart rhythm and possible irregularities in it. A clustering analysis demonstrates a perfect classification accuracy between atrial fibrillation (AF) and sinus rhythm. The heartrate monitoring study showed near perfect beat-to-beat accuracy (sensitivity = 99.1%, precision = 100%) on healthy subjects. In contrast, beat-to-beat detection from coronary artery disease patients was challenging, but the averaged heartrate was extracted successfully (95% CI: −1.2 to 1.1 bpm). In conclusion, the results indicate that the device could be useful in remote monitoring of cardiovascular diseases and personalized medicine.

86 citations

Journal ArticleDOI
TL;DR: In patients undergoing transfemoral TAVI, the MANTA VCD showed a similar risk of VARC-2 vascular and bleeding complications compared to the ProGlide VCD, but it reduced significantly the need of additional VCDs for completion of hemostasis.

72 citations


Cited by
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Journal ArticleDOI
01 Nov 2016-Europace
TL;DR: The Task Force for the management of atrial fibrillation of the European Society of Cardiology has been endorsed by the European Stroke Organisation (ESO).
Abstract: The Task Force for the management of atrial fibrillation of the European Society of Cardiology (ESC) Developed with the special contribution of the European Heart Rhythm Association (EHRA) of the ESC Endorsed by the European Stroke Organisation (ESO)

5,255 citations

Journal ArticleDOI
TL;DR: The content of these European Society of Cardiology (ESC) Guidelines has been published for personal and educational use only and no commercial use is authorized.
Abstract: Supplementary Table 9, column 'Edoxaban', row 'eGFR category', '95 mL/min' (page 15). The cell should be coloured green instead of yellow. It should also read "60 mg"instead of "60 mg (use with caution in 'supranormal' renal function)."In the above-indicated cell, a footnote has also been added to state: "Edoxaban should be used in patients with high creatinine clearance only after a careful evaluation of the individual thromboembolic and bleeding risk."Supplementary Table 9, column 'Edoxaban', row 'Dose reduction in selected patients' (page 16). The cell should read "Edoxaban 60 mg reduced to 30 mg once daily if any of the following: creatinine clearance 15-50 mL/min, body weight <60 kg, concomitant use of dronedarone, erythromycin, ciclosporine or ketokonazole"instead of "Edoxaban 60 mg reduced to 30 mg once daily, and edoxaban 30 mg reduced to 15mg once daily, if any of the following: creatinine clearance of 30-50 mL/min, body weight <60 kg, concomitant us of verapamil or quinidine or dronedarone."

4,285 citations