Comparison of autonomic stress reactivity in young healthy versus aging subjects with heart disease

Nil Z Gurel, Andrew M Carek, Omer T Inan, Oleksiy Levantsevych, Naser Abdelhadi, Muhammad Hammadah, Wesley T O'Neal, Heval Kelli, Kobina Wilmot, Laura Ward, Steven Rhodes, Brad D Pearce, Puja K Mehta, Michael Kutner, Ernest Garcia, Arshed Quyyumi, Viola Vaccarino, Paolo Raggi, J Douglas Bremner, Amit J Shah, Nil Z Gurel, Andrew M Carek, Omer T Inan, Oleksiy Levantsevych, Naser Abdelhadi, Muhammad Hammadah, Wesley T O'Neal, Heval Kelli, Kobina Wilmot, Laura Ward, Steven Rhodes, Brad D Pearce, Puja K Mehta, Michael Kutner, Ernest Garcia, Arshed Quyyumi, Viola Vaccarino, Paolo Raggi, J Douglas Bremner, Amit J Shah

Abstract

Background: The autonomic response to acute emotional stress can be highly variable, and pathological responses are associated with increased risk of adverse cardiovascular events. We evaluated the autonomic response to stress reactivity of young healthy subjects and aging subjects with coronary artery disease to understand how the autonomic stress response differs with aging.

Methods: Physiologic reactivity to arithmetic stress in a cohort of 25 young, healthy subjects (< 30 years) and another cohort of 25 older subjects (> 55 years) with CAD was evaluated using electrocardiography, impedance cardiography, and arterial pressure recordings. Stress-related changes in the pre-ejection period (PEP), which measures sympathetic activity, and high frequency heart rate variability (HF HRV), which measures parasympathetic activity, were analyzed as primary outcomes.

Results: Mental stress reduced PEP in both groups (p<0.01), although the decrease was 50% greater in the healthy group. Mean HF HRV decreased significantly in the aging group only (p = 0.01).

Discussion: PEP decreases with stress regardless of health and age status, implying increased sympathetic function. Its decline with stress may be attenuated in CAD. The HF HRV (parasympathetic) stress reactivity is more variable and attenuated in younger individuals; perhaps this is related to a protective parasympathetic reflex.

Trial registration: ClinicalTrials.gov Identifier: NCT02657382.

Conflict of interest statement

The authors have declared that no competing interests exist.

Figures

Fig 1. CONSORT diagram for aging group…
Fig 1. CONSORT diagram for aging group with CAD.
Fig 2
Fig 2
a) Signal processing steps. ICG and Continuous BP signals were segmented using the R-peak onset of ECG signal. Signal processing algorithms described in text were used for feature extraction for each interval (rest and stress). ICG: Impedance cardiography, ECG: Electrocardiography, Continuous BP: Continuous blood pressure, BPF: Bandpass filter, PEP: Pre-ejection period, HR: Heart rate, std HR: Standard deviation of HR, HF HRV: High-frequency heart rate variability, SBP: Systolic Blood Pressure, DBP: Diastolic Blood Pressure, PP: Pulse pressure. b) Waveforms showing extracted features. HR was calculated using R-R intervals of ECG. PEP was calculated as the time interval between the R-onset of ECG and ICG B-point. SBP and DBP were calculated by detecting the global maximum and minimum of continuous BP beats, respectively.
Fig 3. Changes in HR HRV and…
Fig 3. Changes in HR HRV and PEP responses, shown as ΔHF HRV vs. ΔPEP.
Values show difference between stress and rest, as stress-rest. Each quadrant shows the number of aging and young/healthy subjects.

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