Literature DB >> 30507862

Large discrepancy between unobserved automated office blood pressure and ambulatory blood pressure in a high cardiovascular risk cohort.

Jiwon Seo1, Chan Joo Lee2, Jaewon Oh1, Sang-Hak Lee1, Seok-Min Kang1, Sungha Park1.   

Abstract

OBJECTIVES: Automated office blood pressure (AOBP) measurement has been shown to eliminate the white-coat effect and to be more concordant with ambulatory blood pressure monitoring (ABPM) and home blood pressure (BP) measurements. This study aimed to compare AOBP with ABPM in patients with a high cardiovascular risk. METHODS AND
RESULTS: Participants were recruited from a prospective cohort study (Cardiovascular and Metabolic Disease Etiology Research Center-High Risk Cohort, clinicaltrials.gov: NCT02003781). A total of 1208 persons who had undergone both AOBP and ABPM within 7 days of each other were analyzed. The 95% limits of agreement between systolic AOBP and daytime ABPM SBP were -34.8 and 20.2 mmHg (mean difference = -7.3 ± 14.0). The mean differences in blood pressure across quintiles of AOBP distributions increased with decreasing systolic AOBP [-17.8 ± 11.2 (Q1, systolic AOBP <113 mmHg), -10.9 ± 11.1 (Q2, systolic AOBP 113-121 mmHg), -8.5 ± 10.7 (Q3, systolic AOBP 121-128 mmHg), -4.2 ± 11.8 (Q4, systolic AOBP 128-137 mmHg), 4.9 ± 14.2 (Q5, systolic AOBP >137 mmHg), P < 0.001]. The prevalence of masked hypertension phenomena was 310 (25.7%) and that of white-coat hypertension phenomena was 102 (8.4%). Large discrepancies were significantly associated with lower systolic AOBP, higher atherosclerotic cardiovascular disease risk score, and history of asymptomatic cardiovascular disease.
CONCLUSION: The lower range of systolic AOBP exhibited a large discrepancy with daytime ABPM SBP. Moreover, higher cardiovascular risk was independently associated with larger discrepancy between AOBP and ABPM. The status of blood pressure control should be confirmed using out-of-office blood pressure measurements, even when using AOBP as a clinical BP reference in high-risk patients.

Entities:  

Mesh:

Year:  2019        PMID: 30507862     DOI: 10.1097/HJH.0000000000001868

Source DB:  PubMed          Journal:  J Hypertens        ISSN: 0263-6352            Impact factor:   4.844


  7 in total

1.  Morning Surge and Peak Morning Ambulatory Blood Pressure Versus Automated Office Blood Pressure in Predicting Cardiovascular Disease.

Authors:  Emmanuel A Andreadis; Charalampia V Geladari; Epameinondas T Angelopoulos; George N Kolyvas; Vasilios Papademetriou
Journal:  High Blood Press Cardiovasc Prev       Date:  2019-04-15

Review 2.  A clinical algorithm to determine target blood pressure in the elderly: evidence and limitations from a clinical perspective.

Authors:  Jinho Shin; Kwang-Il Kim
Journal:  Clin Hypertens       Date:  2022-06-15

3.  Determination of optimal on-treatment diastolic blood pressure range using automated measurements in subjects with cardiovascular disease-Analysis of a SPRINT trial subpopulation.

Authors:  Piotr Sobieraj; Jacek Lewandowski; Maciej Siński; Zbigniew Gaciong
Journal:  J Clin Hypertens (Greenwich)       Date:  2019-06-06       Impact factor: 3.738

Review 4.  Key Points of the 2019 Japanese Society of Hypertension Guidelines for the Management of Hypertension.

Authors:  Kazuomi Kario
Journal:  Korean Circ J       Date:  2019-12       Impact factor: 3.243

5.  Prevalence and prognosis of the 2018 vs 2008 AHA definitions of apparent treatment-resistant hypertension in high-risk hypertension patients.

Authors:  Kyeong-Hyeon Chun; Chan Joo Lee; Jaewon Oh; Sang-Hak Lee; Seok-Min Kang; Kazuomi Kario; Sungha Park
Journal:  J Clin Hypertens (Greenwich)       Date:  2020-09-20       Impact factor: 3.738

6.  Diagnostic Accuracy of Unattended Automated Office Blood Pressure Measurement in Screening for Hypertension in Kenya.

Authors:  Anthony O Etyang; Antipa Sigilai; Emily Odipo; Robinson Oyando; Gerald Ong'ayo; Lawrence Muthami; Kenneth Munge; Fredrick Kirui; Jane Mbui; Zipporah Bukania; Judy Mwai; Andrew Obala; Edwine Barasa
Journal:  Hypertension       Date:  2019-10-07       Impact factor: 10.190

7.  Blood pressure measurement: Should technique define targets?

Authors:  Swapnil Hiremath; Tim Ramsay; Marcel Ruzicka
Journal:  J Clin Hypertens (Greenwich)       Date:  2021-07-16       Impact factor: 3.738

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.