Cardiovascular autonomic nervous function in children conceived by assisted reproductive technology with frozen or fresh embryo transfer

Mizrak, Ikram; Lund, Morten A. V.; Landgrebe, Ann V.; Asserhøj, Louise L.; Holstein-Rathlou, Niels-Henrik; Greisen, Gorm; Clausen, Tine D.; Main, Katharina M.; Vejlstrup, Niels G.; Jensen, Rikke B.; Pinborg, Anja; Madsen, Per L.

doi:10.1152/ajpheart.00680.2023

Cited by 1 publication

(1 citation statement)

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“…For example, in COVID-19, a decrease in HRV has been observed to predict cardiac injury earlier than myocardial markers, suggesting that its early detection could potentially enhance patient prognosis ( 2 ). In the context of cardiovascular abnormalities, studies have suggested that decreased resting HRV in children conceived through assisted reproduction techniques may predispose them to premature cardiovascular aging ( 3 ). Abnormal HRV parameters have also been suggested to be associated with the development of congestive heart failure in asymptomatic individuals ( 4 ).…”

Section: Introductionmentioning

confidence: 99%

Exploring sleep heart rate variability: linear, nonlinear, and circadian rhythm perspectives

Hasegawa,

Sasaki,

Umemoto

et al. 2024

Front. Vet. Sci.

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BackgroundHeart rate variability (HRV) is believed to possess the potential for disease detection. However, early identification of heart disease remains challenging, as HRV analysis in dogs primarily reflects the advanced stages of the disease.Hypothesis/objectiveThe aim of this study is to compare 24-h HRV with sleep HRV to assess the potential utility of sleep HRV analysis.AnimalsThirty healthy dogs with no echocardiographic abnormalities were included in the study, comprising 23 females and 7 males ranging in age from 2 months to 8 years (mean [standard deviation], 1.4 [1.6]).MethodsThis study employed a cross-sectional study. 24-h HRV and sleep HRV were measured from 48-h Holter recordings. Both linear analysis, a traditional method of heart rate variability analysis, and nonlinear analysis, a novel approach, were conducted. Additionally, circadian rhythm parameters were assessed.ResultsIn frequency analysis of linear analysis, the parasympathetic index nHF was significantly higher during sleep compared to the mean 24-h period (mean sleep HRV [standard deviation] vs. mean 24 h [standard deviation], 95% confidence interval, p value, r-family: 0.24 [0.057] vs. 0.23 [0.045], 0.006–0.031, p = 0.005, r = 0.49). Regarding time domain analysis, the parasympathetic indices SDNN and RMSSD were also significantly higher during sleep (SDNN: 179.7 [66.9] vs. 156.6 [53.2], 14.5–31.7, p < 0.001, r = 0.71 RMSSD: 187.0 [74.0] vs. 165.4 [62.2], 13.2–30.0, p < 0.001, r = 0.70). In a geometric method of nonlinear analysis, the parasympathetic indices SD1 and SD2 showed significantly higher values during sleep (SD1: 132.4 [52.4] vs. 117.1 [44.0], 9.3–21.1, p < 0.001, r = 0.70 SD2: 215.0 [80.5] vs. 185.9 [62.0], 17.6–40.6, p < 0.001, r = 0.69). Furthermore, the circadian rhythm items of the parasympathetic indices SDNN, RMSSD, SD1, and SD2 exhibited positive peaks during sleep.ConclusionThe findings suggest that focusing on HRV during sleep can provide a more accurate representation of parasympathetic activity, as it captures the peak circadian rhythm items.

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Section: Introductionmentioning

confidence: 99%