Literature DB >> 22695505

Automated office blood pressure is associated with urine albumin excretion in hypertensive subjects.

Emmanuel A Andreadis1, Gerasimos D Agaliotis, Epameinondas T Angelopoulos, Athanasios P Tsakanikas, George N Kolyvas, George P Mousoulis.   

Abstract

BACKGROUND: We aimed to investigate the association between automated office blood pressure (AOBP) readings and urine albumin excretion (UAE), and to assess if this association is as close as that between 24-h ambulatory blood pressure (ABP) and UAE. A strong association would suggest that AOBP may serve as an indicator of early renal impairment.
METHODS: In a sample of 162 hypertensives, we compared AOBP with ABP measurements and their associations with UAE in two consecutive 24-h urine collections measured by an immunoturbidimetric assay. Microalbuminuria was defined as UAE of 30-300 mg/24 h.
RESULTS: The age of the subjects was 53 ± 13 (mean ± s.d.) years. Twenty-two were microalbuminuric. In those, AOBP and 24-h ABP were higher than in the normoalbuminuric subjects: 152 ± 19 and 147 ± 20 vs. 138 ± 15 and 130 ± 11 mm Hg for systolic blood pressure (SBP), and 97 ± 15 and 92 ± 14 vs. 86 ± 10 and 82 ± 8 mm Hg for diastolic blood pressure (DBP) (P < 0.001). Correlations between AOBP and 24-h ABP with log-transformed urine albumin were 0.30 (P < 0.001) and 0.43 (P < 0.001) for SBP and 0.27 (P < 0.001) and 0.33 (P < 0.001) for DBP. Adjusting for age, sex, body mass index, and estimated glomerular filtration rate, both AOBP and 24-h ABP were independently associated with urine albumin (P < 0.001 for both associations). Receiver operating characteristics curve analysis showed a similar predictive ability for microalbuminuria for AOBP and for 24-h ABP (area under the curve: 0.819 (P < 0.001) for SBP, 0.836 (P < 0.001) for DBP vs. 0.830 (P < 0.001) for SBP and 0.845 (P < 0.001) for DBP).
CONCLUSIONS: In this study, microalbuminuria correlated similarly with high-quality AOBP and ABP readings, further supporting the use of AOBP in the clinical setting.

Entities:  

Mesh:

Year:  2012        PMID: 22695505     DOI: 10.1038/ajh.2012.76

Source DB:  PubMed          Journal:  Am J Hypertens        ISSN: 0895-7061            Impact factor:   2.689


  9 in total

Review 1.  Automated Office-Based Blood Pressure Measurement: an Overview and Guidance for Implementation in Primary Care.

Authors:  Romsai T Boonyasai; Erika L McCannon; Joseph E Landavaso
Journal:  Curr Hypertens Rep       Date:  2019-04-04       Impact factor: 5.369

2.  Hypertension Canada's 2016 Canadian Hypertension Education Program guidelines for pharmacists: An update.

Authors:  Yazid N Al Hamarneh; Sherilyn K D Houle; Raj Padwal; Ross T Tsuyuki
Journal:  Can Pharm J (Ott)       Date:  2016-10-06

Review 3.  The 2017 Focused Update of the Guidelines of the Taiwan Society of Cardiology (TSOC) and the Taiwan Hypertension Society (THS) for the Management of Hypertension.

Authors:  Chern-En Chiang; Tzung-Dau Wang; Tsung-Hsien Lin; Hung-I Yeh; Ping-Yen Liu; Hao-Min Cheng; Ting-Hsing Chao; Chen-Huan Chen; Kou-Gi Shyu; Kwo-Chang Ueng; Chung-Yin Chen; Pao-Hsien Chu; Shih-Hsien Sung; Kang-Ling Wang; Yi-Heng Li; Kuo-Yang Wang; Fu-Tien Chiang; Wen-Ter Lai; Jyh-Hong Chen; Wen-Jone Chen; San-Jou Yeh; Ming-Fong Chen; Shing-Jong Lin; Jiunn-Lee Lin
Journal:  Acta Cardiol Sin       Date:  2017-05       Impact factor: 2.672

4.  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

5.  Unattended versus attended automated office blood pressure: Systematic review and meta-analysis of studies using the same methodology for both methods.

Authors:  Anastasios Kollias; Emelina Stambolliu; Konstantinos G Kyriakoulis; Areti Gravvani; George S Stergiou
Journal:  J Clin Hypertens (Greenwich)       Date:  2018-12-25       Impact factor: 3.738

Review 6.  The optimal use of automated office blood pressure measurement in clinical practice.

Authors:  Emmanuel A Andreadis; Charalampia V Geladari; Epameinondas T Angelopoulos
Journal:  J Clin Hypertens (Greenwich)       Date:  2020-02-28       Impact factor: 3.738

Review 7.  Choosing the optimal method of blood pressure measurement for limited-resource rural communities in the "Community Health Assessment Program-Philippines".

Authors:  Dale Guenter; Ricardo Angeles; Janusz Kaczorowski; Gina Agarwal; Fortunato L Cristobal; Rosemarie Arciaga; John F Smith; Pattapong Kessomboon; Faical Jarraya; Rodelin Agbulos; Floro Dave Arnuco; Jerome Barrera; Susan Dimitry; Elgie Gregorio; Servando Halili; Norvie T Jalani; Nusaraporn Kessomboon; Maita Ladeza; Lisa Dolovich
Journal:  J Clin Hypertens (Greenwich)       Date:  2017-05-30       Impact factor: 3.738

8.  Out-of-office blood pressure measurement for the diagnosis of hypertension in pregnancy: Survey of Canadian Obstetric Medicine and Maternal Fetal Medicine specialists.

Authors:  K C Tran; J Potts; J Robertson; K Ly; N Dayan; N A Khan; W Chan
Journal:  Obstet Med       Date:  2019-01-13

9.  Attended and Unattended Automated Office Blood Pressure Measurements Have Better Agreement With Ambulatory Monitoring Than Conventional Office Readings.

Authors:  Emmanuel A Andreadis; Charalampia V Geladari; Epameinondas T Angelopoulos; Florentia S Savva; Anna I Georgantoni; Vasilios Papademetriou
Journal:  J Am Heart Assoc       Date:  2018-04-07       Impact factor: 5.501

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.