The following is a summary of “Pulse rate variability predicted cardiovascular disease in sleep disordered breathing: The Guangdong sleep health study,” published in the November 2023 issue of Pulmonology by Lao, et al.
For a study, researchers sought to explore the relationship between pulse rate variability (PRV) and cardiovascular disease (CVD) in individuals with sleep-disordered breathing (SDB), a condition associated with stroke risk.
The study was conducted among community residents in Guangdong. Type IV sleep monitoring was employed to assess participants, and PRV parameters were derived from the pulse waveforms obtained during sleep monitoring.
A total of 3,747 participants were included in the study, with an average age of 53.9 ± 12.7 years. Of these, 1,149 (30.7%) were diagnosed with SDB. PRV parameters, except for the averages of pulse-to-pulse intervals (ANN), were higher in participants with SDB than those without. After adjusting for traditional CVD risk factors, the deceleration capacity of rate (DC), ANN, and the percentage of pulse-to-pulse interval differences greater than 50 ms (PNN50) were correlated with CVD risk in participants with SDB (with respective odds ratios of 0.826, 1.002, and 1.285; P-values of 0.003, 0.009, and 0.010). However, these correlations were not observed in participants without SDB. There was no interaction effect between DC, ANN, PNN50, and the oxygen desaturation index. In further analysis, DC and ANN were found to predict CVD in SDB patients under 60 years old, males, those who were overweight, had diabetes, and had normal lipid metabolism. On the other hand, PNN50 was a predictor for CVD risk in elderly SDB patients without overweight, diabetes, or dyslipidemia.
PRV parameters may serve as specific predictors for CVD in individuals with SDB. Notably, PNN50 emerged as a potent biomarker for CVD risk in elderly individuals with SDB, even in the absence of traditional CVD risk factors.
Source: resmedjournal.com/article/S0954-6111(23)00296-2/fulltext
