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Editorial
. 2023 Dec;25(12):2312-2315.
doi: 10.1002/ejhf.3069. Epub 2023 Dec 13.

A machine-learning-based prediction model in patients with takotsubo syndrome: 'You can't stop change any more than you can stop the suns from setting!'

Domenico D'Amario  1   2 , Josip Angelo Borovac  3   4 , Giuseppe Patti  1   2
Affiliations
Free article
Editorial

A machine-learning-based prediction model in patients with takotsubo syndrome: 'You can't stop change any more than you can stop the suns from setting!'

Domenico D'Amario et al. Eur J Heart Fail. 2023 Dec.
Free article
No abstract available

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Conflict of interest statement

Conflict of interest: none declared.

Comment on

  • Machine learning-based prediction of in-hospital death for patients with takotsubo syndrome: The InterTAK-ML model.
    De Filippo O, Cammann VL, Pancotti C, Di Vece D, Silverio A, Schweiger V, Niederseer D, Szawan KA, Würdinger M, Koleva I, Dusi V, Bellino M, Vecchione C, Parodi G, Bossone E, Gili S, Neuhaus M, Franke J, Meder B, Jaguszewski M, Noutsias M, Knorr M, Jansen T, Dichtl W, von Lewinski D, Burgdorf C, Kherad B, Tschöpe C, Sarcon A, Shinbane J, Rajan L, Michels G, Pfister R, Cuneo A, Jacobshagen C, Karakas M, Koenig W, Pott A, Meyer P, Roffi M, Banning A, Wolfrum M, Cuculi F, Kobza R, Fischer TA, Vasankari T, Airaksinen KEJ, Napp LC, Dworakowski R, MacCarthy P, Kaiser C, Osswald S, Galiuto L, Chan C, Bridgman P, Beug D, Delmas C, Lairez O, Gilyarova E, Shilova A, Gilyarov M, El-Battrawy I, Akin I, Poledniková K, Toušek P, Winchester DE, Massoomi M, Galuszka J, Ukena C, Poglajen G, Carrilho-Ferreira P, Hauck C, Paolini C, Bilato C, Kobayashi Y, Kato K, Ishibashi I, Himi T, Din J, Al-Shammari A, Prasad A, Rihal CS, Liu K, Schulze PC, Bianco M, Jörg L, Rickli H, Pestana G, Nguyen TH, Böhm M, Maier LS, Pinto FJ, Widimský P, Felix SB, Braun-Dullaeus RC, Rottbauer W, Hasenfuß G, Pieske BM, Schunkert H, Budnik M, Opolski G, Thiele H, Bauersachs J, Horowitz JD, Di Mario C, Bruno F, Kong W, Dalak… See abstract for full author list ➔ De Filippo O, et al. Eur J Heart Fail. 2023 Dec;25(12):2299-2311. doi: 10.1002/ejhf.2983. Epub 2023 Sep 18. Eur J Heart Fail. 2023. PMID: 37522520

References

    1. De Filippo O, Cammann VL, Pancotti C, Vece DD, Silverio A, Schweiger V, et al. Machine-learning based prediction of in-hospital death for patients with takotsubo syndrome: The InterTAK-ML model. Eur J Heart Fail 2023;25:2299-2311. https://doi.org/10.1002/ejhf.2983
    1. Omerovic E, Citro R, Bossone E, Redfors B, Backs J, Bruns B, et al. Pathophysiology of Takotsubo syndrome - A joint scientific statement from the Heart Failure Association Takotsubo Syndrome Study Group and Myocardial Function Working Group of the European Society of Cardiology - Part 1: Overview and the central role for catecholamines and sympathetic nervous system. Eur J Heart Fail 2022;2:257-273. https://doi.org/10.1002/ejhf.2400
    1. Omerovic E, Citro R, Bossone E, Redfors B, Backs J, Bruns B, et al. Pathophysiology of Takotsubo syndrome - A joint scientific statement from the Heart Failure Association Takotsubo Syndrome Study Group and Myocardial Function Working Group of the European Society of Cardiology - Part 2: Vascular pathophysiology, gender and sex hormones, genetics, chronic cardiovascular problems and clinical implications. Eur J Heart Fail 2022;24:274-286. https://doi.org/10.1002/ejhf.2368
    1. Redfors B, Vedad R, Angerås O, Råmunddal T, Petursson P, Haraldsson I, et al. Mortality in takotsubo syndrome is similar to mortality in myocardial infarction - A report from the SWEDEHEART registry. Int J Cardiol 2015;185:282-289. https://doi.org/10.1016/j.ijcard.2015.03.162
    1. Butt JH, Bang LE, Rørth R, Schou M, Kristensen SL, Yafasova A, et al. Long-term risk of death and hospitalization in patients with heart failure and Takotsubo syndrome: Insights from a nationwide cohort. J Card Fail 2022;28:1534-1544. https://doi.org/10.1016/j.cardfail.2022.02.002

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