Objective
Dynamic pupillometry (DP) is a simple, non-invasive computerized technique for assessment of pupillary light response which provides data concerning the balance of both branches of autonomous nervous system (ANS). Heart rate (HR) recovery (HRR) after graded exercise reflects cardiac autonomic activity and predicts cardiovascular events. In this study, we aimed to evaluate utility of DP as a predictor of cardiac autonomic activity assessed by HRR.
Methods
A total of 62 consecutive healthy subjects (mean age= 33.7±8.6 years, 39 males and 23 females) were enrolled. Pupil diameters (R0, R1, R2 and R%): latency (Lc), amplitude (Ac), velocity (Vc) and duration of pupil contraction (Tc): latency (Ld), velocity (Vd) and duration of pupil dilatation (Td) were measured in DP. HRR indices were calculated by subtracting 1st (HRR1), 2nd (HRR2) and 3rd (HRR3) minute HR from the maximal HR during treadmill exercise stress test.
Methods
A total of 62 consecutive healthy subjects (mean age= 33.7±8.6 years, 39 males and 23 females) were enrolled. Pupil diameters (R0, R1, R2 and R%): latency (Lc), amplitude (Ac), velocity (Vc) and duration of pupil contraction (Tc): latency (Ld), velocity (Vd) and duration of pupil dilatation (Td) were measured in DP. HRR indices were calculated by subtracting 1st (HRR1), 2nd (HRR2) and 3rd (HRR3) minute HR from the maximal HR during treadmill exercise stress test.
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