Why the study?
When measurement devices change over time in longitudinal studies, devices should be calibrated to ensure measurements remain comparable.
How do blood pressure measurements from an oscillometric device compare to a random-zero sphygmomanometer, and what is the optimal calibration method?
How do blood pressure measurements from an oscillometric device compare to a random-zero sphygmomanometer, and what is the optimal calibration method?
Robust regression provides an effective method for calibrating blood pressure measurements when switching from a random-zero sphygmomanometer to an oscillometric device in longitudinal studies.
Device calibration enables consistent JHS BP trends across exams; leaves open generalizability to other cohorts.
BACKGROUND: In longitudinal research studies with follow-up examinations, the devices used to measure phenotypes may change over time. When a device change occurs, the two devices should be calibrated to each other to ensure that measurements are comparable. This paper details the Jackson Heart Study (JHS) blood pressure (BP) comparability study. PARTICIPANTS AND METHODS: During its second clinic exam (2005-2008), the JHS switched from a random-zero sphygmomanometer (RZS) BP measurement device to an oscillometric device (OD). During this exam, BP measurements from both an RZS and an OD were taken simultaneously in 2117 participants for the purpose of calibration. Five methods for calibrating systolic BP (SBP) and diastolic BP (DBP) were considered: ignoring the change, ordinary least squares regression, adding the average difference, Deming regression, and robust regression. RESULTS: Using the RZS and OD, the mean (SD) SBP was 125.5 (19.2) and 126.5 (19.9), respectively, and the mean (SD) DBP was 76.4 (10.6) and 74.0 (11.0), respectively. The correlation between RZS and the OD was 0.90 for SBP and 0.80 for DBP. The prevalence of high BP and hypertension and associations with albuminuria were similar when applying each of the five calibration methods. Robust regression was chosen for calibration, giving the following equations:(Equation is included in full-text article.)These equations had a higher R statistic than using calibration equations from the Coronary Artery Risk Development in Young Adults Study and the Heinz Nixdorf Recall Study. CONCLUSIONS: The JHS BP data have been calibrated using the above equations for use in future analyses.
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Seals et al. (2019) studied this question.
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