Shubhayan Sanatani

 
Prospective Graduate Students / Postdocs

This faculty member is currently not actively recruiting graduate students or Postdoctoral Fellows, but might consider co-supervision together with another faculty member.

Professor

Research Classification

Arrhythmia

Research Interests

Sudden death, ion channelopathies, supraventricular tachycardia, autonomic nervous system

Relevant Degree Programs

Affiliations to Research Centres, Institutes & Clusters

 
 

Biography

As a pediatric electrophysiologist, my research focuses on the rhythm of the heart. Disturbances in the rhythm of the heart, or arrhythmias, can occur in otherwise healthy children or in children with heart disease. My research aims to improve the outcome of children who have arrhythmias.

Many potentially lethal conditions affecting the heart rhythm are inherited and I work on heritable conditions causing arrhythmias. This research involves collaborations with clinician and basic scientists from all over the world to improve our understanding of inherited heart rhythm disorders.

Graduate Student Supervision

Master's Student Supervision (2010 - 2020)
Catecholaminergic polymorphic ventricular tachycardia: a clinical and genetic analysis of pediatric patients based on age (2020)

No abstract available.

Texting and connecting in patients with dysautonomia of adolescence: a novel approach between patients and their health care providers (2020)

Rationale: Clinical digital messaging (CDM) (text messaging) improves communication and engagement between adolescent patients and their health care providers (HCP). Dysautonomia of Adolescence (DAOA) is a condition which results in transient dysfunction of the autonomic nervous system (ANS). Many adolescents who are affected withdraw from school, sport, recreational activities; experience social isolation; and have significant mental health challenges. Quality of life (QoL) is severely affected, symptoms are difficult to predict and control. Ongoing support by HCP is needed to support management of symptoms. We sought to implement CDM to support DAOA patients and evaluate patient engagement, satisfaction, QoL and symptom burden.Methods: A single-centre, 12-month intervention study was performed. CDM was supported by WelTel Inc. Participants received an automated weekly check-in text message asking “How are you?”. Responses were triaged by HCP. QoL and symptom data were collected at three 6-month intervals: T0 baseline, T1 CDM enrollment and T2 post-CDM intervention. Non-parametric Friedman tests were used to determine differences over time. Participant engagement with the CDM platform was assessed through response rate and number of care conversations (>2 text messages between participant and HCP). Participant satisfaction was assessed using surveys administered at T1 and T2. Frequency counts (%) were performed for categorical variables and a univariate analysis performed on continuous variables. Tests were two-sided and a p
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Publications

 
 

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