Clinical and life style factors related to the nighttime blood pressure, nighttime dipping and their phenotypes in Korean hypertensive patients

Sleep and blood pressure variability: A systematic literature review

BACKGROUND

Blood pressure variability (BPV) is a prognostic marker of cardiovascular disease (CVD). Sleep is recognized as a significant risk factor for CVD; however, little is known about the relationship between sleep characteristics and BPV.

OBJECTIVE

In this systematic review, we aimed to (1) describe methods used to measure BPV and sleep and (2) describe the current evidence in the literature on the association between sleep and BPV.

METHODS

A systematic search was conducted using the search terms "sleep" AND ("blood pressure variability" OR "ambulatory blood pressure monitor") in CINAHL, PubMed, Web of Science, and PsycINFO databases.

RESULTS

Twenty-two studies were included in this systematic review. Sleep was measured using various methods, including polysomnography, actigraphy, sleep diaries, and questionnaires, while BPV was measured over various time intervals using different monitoring devices such as a beat-to-beat blood pressure (BP) monitoring device, a 24-h ambulatory BP monitor, or an automatic upper arm BP monitor. The studies demonstrated mixed results on the associations between sleep parameters (sleep quality, architecture, and duration) and increased BPV.

CONCLUSIONS

Although the mechanisms that explain the relationship between sleep and BPV are still unclear, accumulating evidence suggests potential associations between increased BPV with poor sleep quality and longer sleep duration. Given the recent development of sleep and BP monitoring technologies, further research is warranted to assess sleep and BPV under free-living conditions. Such studies will advance our understanding of complex interactions between sleep and CVD risk.

Nocturnal systolic blood pressure dipping among people living with HIV and people without HIV: a cross-sectional study in Rural Uganda

Background

In this study, we investigated sleep quality, depression and stress symptoms as hypothesized factors affecting the association between HIV status and nocturnal blood pressure dipping status in rural Uganda.

Methods

Individuals living with HIV (PLHIV) and people without HIV (PwoHIV) underwent 24-hour ambulatory blood pressure monitoring (ABPM) and classified as extreme dippers, dippers and non-dippers based on a percentage nocturnal drop in mean systolic and diastolic blood pressure. Ordinal logistic regression models were used to assess the effect of different exposure variables (HIV status, sleep quality and other covariates) on the outcome (dipping status).

Results

The median age was 45 years (IQR: 35-54) and 80% of the participants were female. 24% of PwoHIV and 16% of PLHIV were overweight, 10% of HIV negative and 3% of the HIV positive individuals were obese. Depression was prevalent in both PLHIV and PwoHIV. Additionally, poor sleep quality was more prevalent in PLHIV compared to PwoHIV (70% versus 58%, P= 0.046). The study found that 53% of participants had normal dipping, while 35.1% were non-dippers, with non-dipping being more prevalent in PwoHIV individuals (34.9% vs 29.7%, P<0.001). PLHIV had 3.6 times the odds of being extreme dippers compared to PwoHIV (OR 3.64, 95% CI: 1.40 - 9.44).

Conclusion

This study identified high proportions of non-dipping BP profiles among both PLHIV and PwoHIV. However, the odds of being extreme dippers were higher among PLHIV compared to PwoHIV. Further research is needed to understand the underlying mechanisms contributing to extreme dipping patterns in PLHIV.

Associations of sleep-related variables with reverse dipping patterns of blood pressure in α-synucleinopathies

INTRODUCTION

The reverse dipping blood pressure (BP) pattern is very common in α-synucleinopathies. We aimed to explore the associations of sleep-related variables with abnormal BP circadian rhythms in Parkinson's disease (PD) and multiple system atrophy (MSA).

METHODS

A total of 126 patients, 76 with PD and 50 with MSA, were included. All participants underwent ambulatory BP monitoring and full-night polysomnography (PSG). We analyzed abnormal dipping patterns and sleep-related parameters, including moderate to severe obstructive sleep apnea (OSA), rapid eye movement behavior disorder (RBD), average oxygen saturation (SaO2%), lowest SaO2%, duration of SaO2% <90%, and apnea-hypopnea index (AHI). Binary logistic regression was performed to explore the associations between paraclinical variables, sleep-related variables, and reverse dipping patterns.

RESULTS

Reverse dipping patterns were predominant in patients with PD (58.5 %) and MSA (68.0 %). Patients with MSA had higher AHI, RBD, and lower average SaO2% than those with PD. Taking both diseases together as a whole group of α-synucleinopathies, logistic regression analysis indicates the Hoehn-Yahr stage (odds ratio [OR] = 2.00 for reverse systolic and 2.34 for reverse diastolic dipping patterns), moderate to severe OSA (OR = 2.71 for reverse systolic and 2.53 for reverse diastolic dipping patterns), average SaO2% (OR = 1.35 for reverse systolic dipping patterns), and male sex (OR = 2.70 for reverse diastolic dipping patterns) were independently associated with reverse dipping patterns.

CONCLUSIONS

Reverse dipping patterns were common in patients with PD and MSA. Hoehn-Yahr stage, moderate to severe OSA, average SaO2%, and male sex were associated with reverse dipping patterns in α-synucleinopathy.