Abstract

BackgroundQ-Sweat is a model used for evaluating the post-ganglionic sudomotor function by assessing sweat response. This study aimed to establish the normative database of Q-Sweat test among Chinese individuals since this type of information is currently lacking.ResultsOne hundred and fifty (150) healthy volunteers, 76 men and 74 women with age range of 22–76 years were included. Skin temperature and sweat onset latency measured at the four sites (i.e., the forearm, proximal leg, distal leg, and the foot) did not significantly correlate with age, gender, body height (BH), body weight (BW), and body mass index (BMI) but the total sweat volume measured in all four sites significantly correlated with sex, BH, and BW. Except for the distal leg, the total sweat volume measured at the other three sites had a significant correlation with BMI. In terms of gender, men had larger total sweat volume, with median differences at the forearm, proximal leg, distal leg, and foot of 0.591 μl, 0.693 μl, 0.696 μl, and 0.358 μl, respectively. Regarding BW difference (≥62 and < 62 Kg), those with BW ≥62 Kg had larger total sweat volume. Median differences at the forearm, proximal leg, distal leg, and foot were 0.538 μl, 0.744 μl, 0.695 μl, and 0.338 μl, respectively. There was an uneven distribution of male and female participants in the two BW groups. In all conditions, the total sweat volume recorded at the foot site was the smallest.ConclusionThis is the first report to show the normative database of sweat response in Chinese participants evaluated using Q-Sweat device. This normative database can help guide further research on post-ganglionic sudomotor or related clinical practice involving a Chinese population.

Highlights

  • Q-Sweat is a model used for evaluating the post-ganglionic sudomotor function by assessing sweat response

  • The total volume of sweat response measured on all four sites significantly correlated to gender, body height (BH), body mass index (BMI) and body weight (BW)

  • After multiple linear regression analysis, BW was the factor that influenced the sweat volume measured on all four sites and was the only factor that positively correlated with the total volume of sweat response measured at the forearm, and proximal and distal leg

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Summary

Introduction

Q-Sweat is a model used for evaluating the post-ganglionic sudomotor function by assessing sweat response. Sweat production, a sudomotor response of ANS, can be measured using several tools such as thermoregulatory sweat testing (TST), quantitative sudomotor axon reflex testing (QSART), silicone impressions, under identical conditions in healthy normal controls shows significantly lower volumes in each of the four measured sites. This comparative result can be used to estimate the expected QSART volume given an observed Q-Sweat volume, it is preferable to use the Q-Sweat normative database directly. The aim of this study was to establish the normal databases of sudomotor function among the Chinese using the Q-Sweat device, and to examine the factors that may influence the total volume of sweat response

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