Research Efforts

The long-term area of focus is in the relationship between stress and arrhythmogenesis, which boils down to the relationship between substrate, trigger, and event.

“Why did he die on a Tuesday and not on a Monday?”
Douglas Zipes

In the 50 years since the advent of the coronary care unit (Lown and Selzer 1968), our ability to prevent arrhythmogenesis has not made a significant difference in clinical outcomes (with a stable 1 out of 5 deaths being secondary to arrhythmia (Hayashi, Shimizu, and Albert 2015; Lown, Verrier, and Rabinowitz 1977). This topic fascinates me, and has led me to continue to explore this path, with a mixed focus between atrial and ventricular arrhythmias.

Current projects

This serves as a summary of current/active research projects and relevant updates on progress.

  1. Weekly T32/F32 research-in-progress updates along with T32/F32 mentorship meetings agends
  2. Weekly K23 research-in-progress updates along with K23 mentorship meetings agends
MSIMI and CV Mortality A large prospective cohort study measuring myocardial ischemia in response to mental stress, with extensive follow-up. Analytical skills included the development of recurrent event models (AG, PWP, MSM, marginal, conditional). Recurrent event software in R was developed. Middle-author Publication in JAMA 2019-2020
HRV and Myocardial Perfusion Evaluated circadian patterns in autonomic function using 24-hour Holter data, generating HRV with a focus on spectral density analyses. Compared these patterns with CFR on quantitate PET, finding a relationship with CFR and early morning low HRV. First-author publication in IJC 2017-2020
GEH and Diabetes Using the CARRS cohort, evaluated ECG-based patterns of GEH and diabetes, finding a strong relationship with cardiac fibrosis and widening of specific GEH parameters. WIP 2018-2019
HRV and Psychosocial Factors Evaluated changes in HRV from baseline to several years later in the ARIC Study. Found that psychosomatic stress (in the form of vital exhaustion) led to a persistent decrease in high frequency HRV, a surrogate of vagal tone. First-author Publication in JAHA 2016-2020
AFL and Family History Statistical analysis of relationship between early onset AFL and family history, which notably yields different phenotypes in Whites and Blacks. WIP 2022
Disturbances of Neurocardiac Axis TL1 and F32 grant focused on evaluating of myocardial ischemia and changes in autonomic function using HRV. Pilot study with completed recruitment. Publication of Thesis and WIP 2019-now
Vagolysis and Arrhythmogenesis Measurement of vagolysis in arrhythmogenesis in the electrophysiology lab and using clinical and epidemiological data. Currently working on the development/progress towards a K23 award, including pilot data collection. 2022-now

GEH = global electrical heterogeneity; HRV = heart rate variability; CV = cardiovascular; SCD = sudden cardiac death; AFL = family history; MSIMI = mental stress induced myocardial ischemia; PET = positron emission tomography

Research skills

Technical research skills:

  • epidemiology and biostatistics
  • study design (IRB, informed consent, subjection enrollment)
  • digital signal processing (HRV, ECG)
  • programming in R, MATLAB
  • harmonic regression
  • advanced survival models with recurrent events

Previous work

Stress and Cardiovascular Epidemiology

Physiological and psychological stress and cardiovascular mortality, from a neurocardiac perspective

  • Effect of autonomic reactivity and resting vagal tone in cardiovascular mortality
  • Depression and dysregulation of the autonomic nervous system, published in JAHA
  • Circadian variability in autonomic function and microvascular coronary disease, published in IJC
  • Atrial fibrillation recurrence after catheter ablation
  • Family history and genetic basis of atrial flutter
  • Cardiovascular biorepository for computational assessment of trajectories/history

Stress and Arrhythmognesis

Mechanisms behind stress and arrhythmia generation (or degeneration) in a pre-clinical and clinical electrophysiology context

  • Murine models of vagolysis leading to triggered arrhythmias, which was initially proposed as an AHA IPA, but then withdrawn

Computational Neurocardiology and Biostatistics

Programming-based approaches in signal processing and biostatistics

Clinical Projects

Work being done as a cardiology fellow at UIC/JBVA

  • Atrial fibrillation and efficacy of cardioversion
  • Pulmonary embolism management with a coordinated response team (PERT)
  • Endocarditis lesion characteristics in a gain-independent manner using pixel density changes
  • Arrhythmia and device management in setting of endocarditis

References

Hayashi, Meiso, Wataru Shimizu, and Christine M. Albert. 2015. “The Spectrum of Epidemiology Underlying Sudden Cardiac Death.” Circulation Research 116 (12): 1887–1906. https://doi.org/10.1161/CIRCRESAHA.116.304521.
Lown, Bernard, and Arthur Selzer. 1968. “The Coronary Care Unit.” The American Journal of Cardiology 22 (4): 597–602. https://doi.org/10.1016/0002-9149(68)90167-7.
Lown, Bernard, Richard L. Verrier, and Stephen H. Rabinowitz. 1977. “Neural and Psychologic Mechanisms and the Problem of Sudden Cardiac Death.” The American Journal of Cardiology 39 (6): 890–902. https://doi.org/10.1016/S0002-9149(77)80044-1.