Comparison Between Automated Office Blood Pressure Measurements and Manual Office Blood Pressure Measurements–Implications in Individual Patients: a Systematic Review and Meta-analysis
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AbstractPurpose of Review
Automated office blood pressure (AOBP) measurements may provide more accurate estimation of blood pressure (BP) than manual office blood pressure (MOBP) measurements. This systematic review investigated the diagnostic
performance of AOBP and MOBP using ambulatory blood pressure measurement (ABPM) as reference. Several databases including MEDLINE, Embase, Scopus, and China Academic Journals were searched. Data were extracted, double-checked by two investigators, and were analysed using a random effects model.

Recent Findings
A total of 26 observational studies were included. The mean systolic/diastolic BP obtained by AOBP was not
significantly different from that obtained by ABPM. The sensitivity and specificity of AOBP to detect elevated BP were
approximately 70%. Fewer participants had white-coat hypertension on AOBP measurement than on MOBP measurement (7% versus 14%); however, about 13% had masked hypertension on AOBP measurement. The width of the limit of agreement comparing (i) AOBP and ABPM and (ii) MOBP and ABPM was comparable.

Summary
AOBP may reduce the rate of the observed white-coat effect but undermine masked hypertension. The current
recommendation, however, is limited by the absence of high-quality studies and the high heterogeneity of our results. More high-quality studies using different AOBP machines and in different population are therefore needed.
Acceptance Date26/10/2020
All Author(s) ListBo YC, Kwok KO, Chu KK, Leung EY, Yu CP, Wong SYS, Lee EKP
Journal nameCurrent Hypertension Reports
Year2021
Month1
Volume Number23
Issue Number1
Article number4
Pages1 - 12
ISSN1522-6417
eISSN1534-3111
LanguagesEnglish-United Kingdom
KeywordsAutomated office blood pressure . Ambulatory blood pressure measurement . Manual office blood pressure .
Meta-analysis .White-coat hypertension . Masked hypertension

Last updated on 2021-11-10 at 23:57