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Genetic variants in post myocardial infarction patients presenting with electrical storm of unstable ventricular tachycardia.
Rangaraju, Advithi; Krishnan, Shuba; Aparna, G; Sankaran, Satish; Mannan, Ashraf U; Rao, B Hygriv.
Afiliação
  • Rangaraju A; KIMS Foundation and Research Centre, Minister Road, Secunderabad, Telangana, India.
  • Krishnan S; STRAND Life Sciences, Bangalore, India.
  • Aparna G; STRAND Life Sciences, Bangalore, India.
  • Sankaran S; Division of Pacing & Electrophysiology, Krishna Institute of Medical Sciences, Minister Road, Secunderabad, Telangana, India.
  • Mannan AU; STRAND Life Sciences, Bangalore, India.
  • Rao BH; Division of Pacing & Electrophysiology, Krishna Institute of Medical Sciences, Minister Road, Secunderabad, Telangana, India; Arrhythmia Research & Training Society (ARTS), Hyderabad, India. Electronic address: hygriv@hotmail.com.
Indian Pacing Electrophysiol J ; 18(3): 91-94, 2018.
Article em En | MEDLINE | ID: mdl-29396286
ABSTRACT
Electrical storm (ES) is a life threatening clinical situation. Though a few clinical pointers exist, the occurrence of ES in a patient with remote myocardial infarction (MI) is generally unpredictable. Genetic markers for this entity have not been studied. In the present study, we carried out genetic screening in patients with remote myocardial infarction presenting with ES by next generation sequencing and identified 25 rare variants in 19 genes predominantly in RYR2, SCN5A, KCNJ11, KCNE1 and KCNH2, CACNA1B, CACNA1C, CACNA1D and desmosomal genes - DSP and DSG2 that could potentially be implicated in electrical storm. These genes have been previously reported to be associated with inherited syndromes of Sudden Cardiac Death. The present study suggests that the genetic architecture in patients with remote MI and ES of unstable ventricular tachycardia may be similar to that of Ion channelopathies. Identification of these variants may identify post MI patients who are predisposed to develop electrical storm and help in risk stratification.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2018 Tipo de documento: Article