Key result
Blood pressure variability parameters exhibited >30% dispersion at a 30-minute sampling interval, whereas 24-hour average blood pressure was less sensitive to sampling rate changes.
Why the study?
Lack of normal threshold values and inconsistency in recording sampling rates are hurdles to the wider usage of ambulatory blood pressure monitoring.
Does sampling rate influence measures of blood pressure variability in ambulatory blood pressure monitoring in healthy subjects?
Observational (n=47)
Does sampling rate influence measures of blood pressure variability in ambulatory blood pressure monitoring in healthy subjects?
Blood pressure variability parameters are highly sensitive to ABPM sampling rates, suggesting higher sampling rates are desirable around the time of awakening.
Answers are grounded in this paper and cite their sources.
Standard ABPM sampling may distort BPV estimates in practice; leaves open denser protocols for prognostic research.
BACKGROUND: Ambulatory blood pressure monitoring (ABPM) is a valuable tool in the diagnosis and management of hypertension and it is a good predictor of future cardiovascular events. Lack of normal threshold values of ABPM parameters and inconsistency in the sampling rate of recording are hurdles in its wider usage. The aim of the present investigation was to study the influence of sampling rate on ABPM. METHODS: ABPM was performed in 47 healthy subjects and the effect of different sampling rates was studied on ABPM parameters. RESULTS: When data were down-sampled, there was a trend towards decreased concordance and increased dispersion with less frequent recordings. Percent dispersion of MESOR, 24-h average, 24 h standard deviation (SD), awake hours average and sleep hours average of systolic BP (SBP) were around 10% for a sampling interval of 1 h. While average real variability (ARV), morning surge and percent dip in SBP exhibited more than 30% dispersion at a sampling interval of 30 min. CONCLUSION: 24-h average blood pressure (BP) is less sensitive to sampling rate whereas BP variability parameters such as ARV, morning surge and percent dip in SBP are highly sensitive. We suggest that for improving the accuracy of BP variability parameters, a higher sampling rate is desirable around the time of awakening (~2 h before and after the expected time of awakening). At other times, a lower sampling rate may be used for maximizing patient comfort without compromising measurement accuracy.
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A 2022 study conducted an observational in Healthy subjects (n=47). Sampling rate in ambulatory blood pressure monitoring was evaluated on Dispersion of ambulatory blood pressure monitoring parameters. Blood pressure variability parameters exhibited >30% dispersion at a 30-minute sampling interval, whereas 24-hour average blood pressure was less sensitive to sampling rate changes.
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