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

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.

The optimal night-time home blood pressure monitoring schedule: agreement with ambulatory blood pressure and association with organ damage.

OBJECTIVE: Night-time home blood pressure (HBP) monitoring has emerged as a feasible, reliable and low-cost alternative to ambulatory blood pressure (ABP) monitoring. This study evaluated the optimal schedule of night-time HBP monitoring in terms of agreement with night-time ABP and association with preclinical target-organ damage. METHODS: Untreated hypertensive adults were evaluated with ABP (24-h) and HBP monitoring (daytime: six days, duplicate morning and evening measurements; night-time: three nights, three-hourly automated measurements/night), and determination of left ventricular mass index, common carotid intima-media thickness and urinary albumin excretion. RESULTS: A total of 94 patients with all nine night-time HBP measurements were analysed [mean age 51.8 ±â€Š11.1 (SD) years, men 57%). By averaging an increasing number of night-time systolic HBP readings, there was a consistent trend towards stronger association of night-time HBP with night-time ABP (correlation coefficients r increased from 0.69 to 0.81), and with target-organ damage indices (for left ventricular mass index r increased from 0.13 to 0.22, carotid intima-media thickness 0.12-0.25, urinary albumin excretion 0.33-0.41). However, no further improvement in the association was observed by averaging more than four to six night-time readings. The diagnostic agreement between HBP and ABP in detecting nondippers was improved by averaging more readings, with a plateau at four readings (single reading: agreement 81%, kappa 0.37; four readings: 88%, 0.49; nine readings: 84%, 0.40). CONCLUSION: A two-night HBP schedule (six readings) appears to be the minimum requirement for a reliable assessment of night-time HBP, which gives reasonable agreement with ABP and association with preclinical organ damage.

Home, automated office, and conventional office blood pressure as predictors of cardiovascular risk.

Automated office blood pressure (AOBP) has recently been shown to closely predict cardiovascular (CV) events in the elderly. Home blood pressure (HBP) has also been accepted as a valuable method in the prediction of CV disease. This study aimed to compare conventional office BP (OBP), HBP, and AOBP in order to evaluate their value in predicting CV events and deaths in hypertensives. We assessed 236 initially treatment naïve hypertensives, examined between 2009 and 2013. The end points were any CV and non-CV event including mortality, myocardial infarction, coronary heart disease, hospitalization for heart failure, severe arrhythmia, stroke, and intermittent claudication. We fitted proportional hazards models using the different modalities as predictors and evaluated their predictive performance using three metrics: time-dependent receiver operating characteristics curves, the Akaike's Information Criterion, and Harrell's C-index. After a mean follow-up of 7 years, 23 participants (39% women) had experienced ≥1 CV event. Conventional office systolic (hazard ratio [HR] per 1 mm Hg increase in BP, 1.028; 95% confidence interval [CI], 1.009-1.048), automated office systolic (HR per 1 mm Hg increase in BP, 1.031; 95% CI, 1.008-1.054), and home systolic (HR, 1.025; 95% CI, 1.003-1.047) were predictive of CV events. All systolic BP measurements were predictive after adjustment for other CV risk factors (P < .05). The predictive performance of the different modalities was similar. Conventional OBP was significantly higher than AOBP and average HBP. AOBP predicts equally well to OBP and HBP CV events. It appears to be comparable to HBP in the assessment of CV risk, and therefore, its introduction into guidelines and clinical practice as the reference method for assessing BP in the office seems reasonable after verification of these findings by randomized trials.

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

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.