We introduce the first comprehensive open-source R package, bp, that both analyzes and visualizes blood pressure data. There have been many proposed methods for characterizing this variability this package seeks to incorporate as many of these metrics as possible. BPV has been shown to be an important factor in predicting cardiovascular events and sudden death, especially during susceptible periods such as the first two hours of waking up. Of primary concern to researchers is the ability to accurately quantify blood pressure variability (BPV).
Unlike continuous heart rate monitors or continuous glucose monitors, there are currently no commercially-available continuous blood pressure monitors available for the middle to long term, posing a unique challenge for research. These factors almost always depend on the type of device used, where ABPM monitors are predominantly used for the short term (within 24 hours) and home monitoring devices or office readings are used for measuring variability over the medium and long term (day-to-day, visit-to-visit, etc). This package serves to visualize and quantify various aspects of hypertension in a more digestible format using various metrics proposed in the literature.īlood pressure data can be analyzed at varying degrees of granularity depending on the reading frequency, presence of a sleep indicator, and whether or not the temporal structure is accounted for. Hypertension, specifically, affects over 1.1 billion people annually according to the American Heart Association.
Despite the tremendous progress in the medical field, cardiovascular disease (CVD) remains the leading cause of death worldwide.
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