Emmanuel A Andreadis1,2, Charalampia V Geladari3,4, Epameinondas T Angelopoulos3, George N Kolyvas3, Vasilios Papademetriou5. 1. Hypertension and Cardiovascular Disease Prevention Outpatient Center, Evangelismos General Hospital, AHEPA Building, 5th Floor, Room 528, Ipsilantou 45-47 Street, Attiki, Athens, Greece. andreadise@usa.net. 2. Fourth Department of Internal Medicine, Evangelismos General Hospital, Athens, Greece. andreadise@usa.net. 3. Hypertension and Cardiovascular Disease Prevention Outpatient Center, Evangelismos General Hospital, AHEPA Building, 5th Floor, Room 528, Ipsilantou 45-47 Street, Attiki, Athens, Greece. 4. Fourth Department of Internal Medicine, Evangelismos General Hospital, Athens, Greece. 5. Department of Cardiology, Georgetown University and Veterans Affairs Medical Center, Athens, Greece.
Abstract
INTRODUCTION: Automated office blood pressure (AOBP) has been recently shown to predict equally well to ambulatory blood pressure (ABP), conventional office blood pressure (OBP) and home blood pressure (HBP), cardiovascular (CV) events among hypertensives. AIM: To compare AOBP recording and ABP monitoring in order to evaluate morning blood pressure (BP) peak in predicting CV events and deaths in hypertensives. METHODS: We assessed 236 initially untreated hypertensives, examined between 2009 and 2013. The end points were CV and non-CV death and any CV event including myocardial infarction, evidence of coronary heart disease, heart failure hospitalization, severe arrhythmia, stroke, and symptomatic peripheral artery disease. We fitted proportional hazards models using the different modalities as predictors and evaluated their predictive performance using two metrics: the Akaike's Information Criterion, and Harrell's C-index. RESULTS: After a mean follow-up of 7 years, 23 subjects (39% women) had at least one CV event. In Cox regression models, systolic conventional OBP, AOBP and peak morning BP were predictive of CV events (p < 0.05). The Akaike Information Criterion showed smaller values for AOBP than peak morning BP, indicating a better performance in predicting CV events (227.2736 and 238.7413, respectively). The C-index was 0.6563 for systolic AOBP and 0.6243 for peak morning BP indicating a better predicting ability for AOBP. CONCLUSION: In initially untreated hypertensives, AOBP appears to be at least equally reliable to 24-h monitoring in the evaluation of morning BP peak in order to detect CV disease whereas the sleep-trough and preawakening morning BP surge did not indicate such an effect.
INTRODUCTION: Automated office blood pressure (AOBP) has been recently shown to predict equally well to ambulatory blood pressure (ABP), conventional office blood pressure (OBP) and home blood pressure (HBP), cardiovascular (CV) events among hypertensives. AIM: To compare AOBP recording and ABP monitoring in order to evaluate morning blood pressure (BP) peak in predicting CV events and deaths in hypertensives. METHODS: We assessed 236 initially untreated hypertensives, examined between 2009 and 2013. The end points were CV and non-CV death and any CV event including myocardial infarction, evidence of coronary heart disease, heart failure hospitalization, severe arrhythmia, stroke, and symptomatic peripheral artery disease. We fitted proportional hazards models using the different modalities as predictors and evaluated their predictive performance using two metrics: the Akaike's Information Criterion, and Harrell's C-index. RESULTS: After a mean follow-up of 7 years, 23 subjects (39% women) had at least one CV event. In Cox regression models, systolic conventional OBP, AOBP and peak morning BP were predictive of CV events (p < 0.05). The Akaike Information Criterion showed smaller values for AOBP than peak morning BP, indicating a better performance in predicting CV events (227.2736 and 238.7413, respectively). The C-index was 0.6563 for systolic AOBP and 0.6243 for peak morning BP indicating a better predicting ability for AOBP. CONCLUSION: In initially untreated hypertensives, AOBP appears to be at least equally reliable to 24-h monitoring in the evaluation of morning BP peak in order to detect CV disease whereas the sleep-trough and preawakening morning BP surge did not indicate such an effect.
Authors: Paolo Verdecchia; Fabio Angeli; Giovanni Mazzotta; Marta Garofoli; Elisa Ramundo; Giorgio Gentile; Giuseppe Ambrosio; Gianpaolo Reboldi Journal: Hypertension Date: 2012-05-14 Impact factor: 10.190
Authors: Emmanuel A Andreadis; Gerasimos D Agaliotis; Epameinondas T Angelopoulos; Athanasios P Tsakanikas; Ioannis A Chaveles; George P Mousoulis Journal: Am J Hypertens Date: 2011-03-17 Impact factor: 2.689
Authors: Emmanuel A Andreadis; Vasilios Papademetriou; Charalampia V Geladari; George N Kolyvas; Epameinondas T Angelopoulos; Konstantinos N Aronis Journal: J Am Soc Hypertens Date: 2017-02-03
Authors: Emmanuel A Andreadis; Gerasimos D Agaliotis; Epameinondas T Angelopoulos; Athanasios P Tsakanikas; George N Kolyvas; George P Mousoulis Journal: Am J Hypertens Date: 2012-06-14 Impact factor: 2.689
Authors: Anthony W Baross; Robert D Brook; Anthony D Kay; Reuben Howden; Ebony C Gaillard; Ben D H Gordon; Kevin J Milne; Cheri L M McGowan; Ian L Swaine Journal: Sci Rep Date: 2022-01-10 Impact factor: 4.379