Number and timing of ambulatory blood pressure monitoring measurements

Nocturnal hypertension represents an uncontrolled burden in patients with metabolic dysfunction-associated steatotic liver disease

BACKGROUNDAIMS

Metabolic dysfunction-associated steatotic liver disease (MASLD) is an independent risk factor for cardiovascular morbidity and mortality. Another critical risk factor in these patients is arterial hypertension (AH). Although it is estimated that 50% of MASLD patients are suffering from AH, 24-h ambulatory blood pressure monitoring (24-h-ABPM), the gold standard for diagnosing hypertension, is often neglected. However, only 24-h-ABPM can identify hypertension subtypes, particularly nocturnal hypertension (NH), which is a stronger predictor of cardiovascular mortality than daytime or 24-h blood pressure. The aim of this study was to investigate the prevalence of NH in MASLD patients and to identify associated risk factors.

METHODS

To this end, 226 MASLD patients with or without known AH were prospectively recruited in an outpatient liver department and underwent 24-h-ABPM together with repeated office-blood-pressure measurements.

RESULTS

24-h-ABPM datasets from 218 patients were included in the final analysis. NH was observed in 112 patients (51.3%), of whom 54 (48.2%) were receiving antihypertensive treatment (uncontrolled hypertension). Univariable regression analysis showed that age, increased waist-to-hip ratio, a waist-to-height ratio ≥0.5, type 2 diabetes mellitus (T2DM), dyslipidemia, a lower estimated glomerular filtration rate and increased liver stiffness were significantly associated with a higher risk of NH. In multivariable regression analysis, T2DM [odds ratio (OR) 2.56; 95% confidence interval (CI) 1.09-6.23; P  = 0.033], dyslipidemia (OR 3.30; 95% CI, 1.67-6.73; P  = 0.001) and liver stiffness (OR 1.09; 95% CI, 1.02-1.18; P  = 0.021) were identified as independent risk factors.

CONCLUSIONS

In conclusion, particularly MASLD patients with accompanying T2DM, dyslipidemia, and increased liver stiffness should undergo 24-h-ABPM to detect and treat NH, as they are at the highest risk of adverse cardiovascular events.

CLINICAL TRIAL

NCT-04543721.

Blood Pressure on Ambulatory Monitoring and Risk for Cardiovascular Disease and All-Cause Mortality: Ecological Validity or Measurement Reliability?

BACKGROUND

The association with cardiovascular disease (CVD) is stronger for mean systolic blood pressure (SBP) estimated using ambulatory blood pressure monitoring (ABPM) vs. office measurements. Determining whether this is due to ABPM providing more measurement reliability or greater ecological validity can inform its use.

METHODS

We estimated the association of mean SBP based on 2 office measurements and 2, 5, 10, and 20 measurements on ABPM with incident CVD in the Jackson Heart Study (n = 773). Hazard ratios (HRs) for CVD were estimated per standard deviation higher mean SBP. CVD events were defined by incident fatal or non-fatal stroke, non-fatal myocardial infarction, or fatal coronary heart disease.

RESULTS

There were 80 CVD events over a median of 15 years. The adjusted HRs for incident CVD were 1.03 (95% CI: 0.90-1.19) for mean office SBP and 1.30 (95% CI: 1.12-1.50), 1.34 (95% CI: 1.15-1.56), 1.36 (95% CI: 1.17-1.59), and 1.38 (95% CI: 1.17-1.63) for mean SBP using the first 2, 5, 10, and 20 ABPM readings. The difference in the HRs for incident CVD ranged from 0.26 (95% CI: 0.07-0.46) to 0.35 (95% CI: 0.15-0.54) when comparing mean office SBP vs. 2, 5, 10, or 20 sequential ABPM readings. The association with incident CVD was also stronger for mean SBP based on 2, 5, 10, and 20 randomly selected ABPM readings vs. 2 office readings.

CONCLUSIONS

Mean SBP based on 2 ABPM readings vs. 2 office measurements had a stronger association with CVD events. The increase in the strength of the association with more ABPM readings was small.

Development of beat-by-beat blood pressure monitoring device and nocturnal sec-surge detection algorithm

The nocturnal blood pressure (BP) surge in seconds (sec-surge) is defined as a brief, acute transient BP elevation over several tens of seconds, triggered by obstructive sleep apnea (OSA) and sympathetic hyperactivity. Sec-surge imposes a significant strain on the cardiovascular system, potentially triggering cardiovascular events. Quantitative evaluation of sec-surge level could be valuable in assessing cardiovascular risks. To accurately measure the detailed sec-surge, including its shape as BP rises and falls, we developed a beat-by-beat (BbB) BP monitoring device using tonometry. In addition, we developed an automatic sec-surge detection algorithm to help identify sec-surge cases in the overnight BbB BP data. The device and algorithm successfully detected sec-surges in patients with OSA. Our results demonstrated that sec-surge was associated with left ventricular hypertrophy and arterial stiffness independently of nocturnal BP level or variability. Sec-surge would be worth monitoring for assessing cardiovascular risks, in addition to nocturnal BP level. Nocturnal blood pressure (BP) surge in seconds (sec-surge) places heavy load on the cardiovascular system and can trigger cardiovascular events. To identify sec-surges, we developed a beat-by-beat BP monitoring device and a sec-surge detection algorithm. Furthermore, sec-surge was more related to cardiovascular risks than conventional nocturnal BP parameters.

Later circadian timing and increased sleep timing variability are associated with attenuations in overnight blood pressure dipping among chronic nightshift workers

OBJECTIVE

Determine relationships between overnight blood pressure, circadian phase, and sleep variability among dayshift and chronic nightshift nurses.

METHODS

Twenty participants working dayshift (n = 10) or nightshift (n = 10) schedules participated in a 7-day cross-sectional study. Participants underwent an evening in-laboratory melatonin assessment and wore ambulatory blood pressure devices to assess 24-hour blood pressure patterns. Overnight blood pressure dipping was calculated from sleeping/waking systolic blood pressure ratio and salivary dim-light melatonin onset determined circadian phase. Sleep variability was assessed using the standard deviation of 7-day sleep onset.

RESULTS

Nightshift workers had later circadian phase, greater sleep onset variability, and an attenuated overnight blood pressure dipping pattern. Later circadian phase was associated with attenuated dipping patterns and sleep onset variability was negatively correlated with blood pressure dipping magnitude in nightshift, but not dayshift workers.

CONCLUSIONS

Chronic circadian disruption via higher sleep onset variability among nightshift workers may contribute to attenuated blood pressure dipping and cardiovascular risk in this population.

High versus low measurement frequency during 24-h ambulatory blood pressure monitoring - a randomized crossover study

Ambulatory blood pressure monitoring (ABPM) may be stressful and associated with discomfort, possibly influenced by the number of cuff inflations. We compared a low frequency (LF-ABPM) regimen with one cuff inflation per hour, with a high frequency (HF-ABPM) regimen performed according to current guidelines using three cuff-inflations per hour during daytime and two cuff-inflations during night time. In a crossover study, patients underwent ABPMs with both frequencies, in a randomized order, within an interval of a few days. Patients reported pain (visual analogue scale from 0 to 10) and sleep disturbances after each ABPM. The primary endpoint was the difference in mean 24 h systolic BP (SBP) between HF-ABPM and LF-ABPM. A total of 171 patients were randomized, and data from 131 (age 58 ± 14 years, 47% females, 24% normotensive, 53% mildly hypertensive, and 22% moderately-severely hypertensive) completing both ABPMs were included in the analysis. Mean SBP was 137.5 mmHg (95% CI, 134.8;140.2) for HF-ABPM and 138.2 mmHg (95%CI, 135.2;141.1) for LF-ABPM. The 95% limits of agreement were -15.3 mmHg and +14.0 mmHg. Mean 24 h SBP difference between HF-ABPM and LF-ABPM was -0.7 mmHg (95%CI, -2.0;0.6). Coefficients of variation were similar for LF-ABPM and HF-ABPM. Pain scores (median with interquartile range), for HF-ABPM and LF-ABPM were 1.5 (0.6;3.0) and 1.3 (0.6;2.9) during daytime, and 1.3 (0.4:3.4) and 0.9 (0.4;2.0) during nighttime (P < 0.05 for both differences). We conclude that LF-ABPM and HF-ABPM values are in good agreement without any clinically relevant differences in BP. Furthermore, LF-ABPM causes a relatively modest reduction in procedure-related pain.

Simple predictive score for nocturnal hypertension and masked nocturnal hypertension using home blood pressure monitoring in clinical practice

OBJECTIVE

The decision whether to measure night-time blood pressure (BP) is challenging as these values cannot be easily evaluated because of problems with measurement devices and related stress. Using the nationwide, practice-based Japan Morning Surge-Home BP Nocturnal BP study data, we developed a simple predictive score that physicians can use to diagnose nocturnal hypertension.

METHODS

We divided 2765 outpatients (mean age 63 years; hypertensive patients 92%) with cardiovascular risks who underwent morning, evening, and night-time home BP (HBP) measurements (0200, 0300, and 0400 h) into a calibration group ( n  = 2212) and validation group ( n  = 553). We used logistic-regression models in the calibration group to identify the predictive score for nocturnal hypertension (night-time HBP ≥120/70 mmHg) and then evaluated the score's predictive ability in the validation group.

RESULTS

In the logistic-regression model, male sex, increased BMI) (≥25 kg/m 2 ), diabetes, elevated urine-albumin creatinine ratio (UACR) (≥30 mg/g Cr), elevated office BP (≥140/90 mmHg) and home (average of morning and evening) BP (≥135/85 mmHg) had positive relationships with nocturnal hypertension. The predictive scores for nocturnal hypertension were 1 point (male, BMI, and UACR); 2 points (diabetes); 3 points (office BP ≥140/90 mmHg); 6 points (home BP ≥135/85 mmHg); total 14 points. Over 75% of the nocturnal hypertension cases in the validation group showed at least 10 points [AUC 0.691, 95% CI (0.647-0.735)]. We also developed a score for masked nocturnal hypertension, that is, nocturnal hypertension despite controlled daytime HBP.

CONCLUSION

We developed a simple predictive score for nocturnal hypertension that can be used in clinical settings and for diagnoses.

Nocturnal blood pressure surge in seconds is a new determinant of left ventricular mass index

Nocturnal blood pressure (BP) surge in seconds (sec‐surge), which is characterized as acute transient BP elevation over several tens of seconds, could be a predictor of target organ damage. However, it is not clear that the severity of sec‐surge is different between sec‐surges induced by sleep apnea (SA) (apnea/hypopnea detected by polysomnography (PSG) or oxygen desaturation) and those induced by non‐SA factors (rapid eye movement, micro arousal, etc.), and sec‐surge variables associate with left ventricular hypertrophy (LVH) independently of conventional BP variables. The authors assessed these points with 41 patients (mean age 63.2±12.6 years, 29% female) who underwent full PSG, beat‐by‐beat (BbB) BP, and cuff‐oscillometric BP measurement during the night. All patients were included for the analysis comparing sec‐surge severity between inducing factors (SA and non‐SA factors). There were no significant differences in the number of sec‐surges/night between SA‐related sec‐surges and non‐SA‐related sec‐surges (19.5±26.0 vs. 16.4±29.8 events/night). There were also no significant differences in the peak of sec‐surges, defined as the maximum systolic BPs (SBPs) in each sec‐surge, between SA‐related sec‐surges and non‐SA‐related sec‐surges (148.2±18.5 vs. 149.3±19.2 mm Hg). Furthermore, as a result of multiple regression analysis (n = 18), the peak of sec‐surge was significantly and strongly associated with the left ventricular mass index (standardized β = 0.62, p = .02), compared with the mean nocturnal SBPs measured by oscillometric method (β = −0.04, p = .87). This study suggests that peak of sec‐surge could be a better predictor of LVH compared to parameters derived from regular nocturnal oscillometric SBP.