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SCN5A mutation is associated with a higher Shanghai Score in patients with type 1 Brugada ECG pattern.
Tonelli L, Balla C, Farnè M, Margutti A, Maniscalchi ET, De Feo G, Di Domenico A, De Raffele M, Percesepe A, Uliana V, Barili V, Serra W, Sassone B, Virzì S, De Maria E, Parmeggiani G, Assenza GE, Biagini E, Parisi V, Biffi M, Carinci V, Perugini E, Imbrici P, Ferlini A, Bertini M, Selvatici R, Gualandi F. Tonelli L, et al. Among authors: serra w. J Cardiovasc Med (Hagerstown). 2023 Dec 1;24(12):864-870. doi: 10.2459/JCM.0000000000001560. Epub 2023 Oct 30. J Cardiovasc Med (Hagerstown). 2023. PMID: 37942788
The Right Heart International Network (RIGHT-NET): Rationale, Objectives, Methodology, and Clinical Implications.
Ferrara F, Gargani L, Armstrong WF, Agoston G, Cittadini A, Citro R, D'Alto M, D'Andrea A, Dellegrottaglie S, De Luca N, Di Salvo G, Ghio S, Grünig E, Guazzi M, Kasprzak JD, Kolias TJ, Kovacs G, Lancellotti P, La Gerche A, Limongelli G, Marra AM, Moreo A, Ostenfeld E, Pieri F, Pratali L, Rudski LG, Saggar R, Saggar R, Scalese M, Selton-Suty C, Serra W, Stanziola AA, Voilliot D, Vriz O, Naeije R, Bossone E. Ferrara F, et al. Among authors: serra w. Heart Fail Clin. 2018 Jul;14(3):443-465. doi: 10.1016/j.hfc.2018.03.010. Heart Fail Clin. 2018. PMID: 29966641 Free article.
Feasibility of semi-recumbent bicycle exercise Doppler echocardiography for the evaluation of the right heart and pulmonary circulation unit in different clinical conditions: the RIGHT heart international NETwork (RIGHT-NET).
Ferrara F, Gargani L, Naeije R, Rudski L, Armstrong WF, Wierzbowska-Drabik K, Argiento P, Bandera F, Cademartiri F, Citro R, Cittadini A, Cocchia R, Contaldi C, D'Alto M, D'Andrea A, Grünig E, Guazzi M, Kolias TJ, Limongelli G, Marra AM, Mauro C, Moreo A, Ranieri B, Saggar R, Salzano A, Stanziola AA, Vriz O, Vannan M, Kasprzak JD, Bossone E; RIGHT Heart International NETwork (RIGHT-NET). Ferrara F, et al. Int J Cardiovasc Imaging. 2021 Jul;37(7):2151-2167. doi: 10.1007/s10554-021-02243-x. Epub 2021 Apr 18. Int J Cardiovasc Imaging. 2021. PMID: 33866467
49 results