Skip to main content

Comparison between central and ambulatory blood pressure measurements in early detection of end organ damage: a single-center prospective non-randomized controlled trial



Both ambulatory blood pressure (AMBP) and non-invasive central blood pressure (NCBP) monitoring could be used as predictors for early detection of hypertensive end organ damage (EOD). However, the comparison between these two methods needs more clarification. Our cross-sectional study included 100 hypertensive patients with a mean age of 47.52 ± 8.35 years on regular antihypertensive treatment for ≥ 1 year (50 controlled, 50 uncontrolled). We compared associations, sensitivity, and specificity of EOD parameters with office, AMBP, and NCBP measurements. We measured left ventricular mass index (LVMI), carotid intimal medial thickness (CIMT), ankle-brachial index (ABI), serum creatinine, glomerular filtration rate (GFR), and pulse wave velocity (PWV).


We found a significant relation between SBP of NCBP, AMBP and LVMI, and CIMT, PWV, and GFR respectively (P < 0.05) while office SBP showed no significant relation. Systolic AMBP showed a high sensitivity to ABI (98%) and CIMT (92%) while systolic NCBP had 92% specificity and DBP showed 90% sensitivity for ABI.


AMBP and NCBP show a significant relation to LVMI, CIMT, PWV, and GFR with little superiority of central BP while office BP does not. Systolic ABPM has high sensitivity to ABI and CIMT and systolic NCBP has a high sensitivity and specificity to ABI.


Reliability of brachial blood pressure (BP) measurement in the physician’s office has its own limitations, while out-of-office BP measurement, using either home BP monitoring or ambulatory BP monitoring (ABPM) techniques, is devoid of such limitations and is gaining importance in the management of hypertension.

It is now generally accepted that ABPM is an important adjunct to conventional office BP measurement, and ABPM became the “gold standard” for screening, diagnosis, and management of hypertension against the important limitations of office BP which have led to the increasingly frequent suggestion that ABPM [1]. Among the numerous benefits of ABPM, the avoidance of potential BP measurement errors such as observer bias, terminal digit preference, and provision of more comprehensive information on BP behavior is possible with office or home BP. Ambulatory blood pressure monitors overcome this problem by obtaining multiple readings over the 24-h period and capturing the blood pressure variability [2].

Current non-invasive strategies for evaluating central aortic BP require recording of a blood vessel weight wave utilizing the MOBIL-O-GRAPH BP device which utilizes brachial BP waves for a non-invasive estimation of central BP [3]. When brachial artery blood pressure was used to stratify blood pressure measurements, a considerable overlap in aortic systolic pressure was observed, such that over 70% of individuals were categorized as having “high-normal” brachial systolic pressure based on Joint European Cardiology and Hypertension Society guidelines [4], and the authors postulated that we may be treating some patients with relatively low central pressures and not treating individuals with elevated central pressures, because they have brachial systolic pressures under current treatment thresholds. McEniery et al. [5] suggested that NICBP will have important clinical implications if central pressure turns out to be a better predictor of cardiovascular risk, because it suggests that. The Dicomano Study in Italy [6] and a Taiwanese study [7] also observed a stronger association between cardiovascular events and central, rather than brachial pressure. The heart, kidneys, and major arteries supplying the brain are exposed to aortic rather than brachial pressure. Therefore, there is a strong rationale to believe that cardiovascular events may ultimately be more closely related to central rather than brachial pressure. Evidence published over the last 12 years is concerning the relationship between central pressures [8].


The study group included 100 hypertensive patients recruited from the hypertension clinic in Assiut University Hospital, during the period from June 2016 to July 2017. Patients were divided into two groups, either controlled or uncontrolled office BP according to the European Society of Cardiology (ESC) guidelines 2013 (≥ 140 mmHg systolic BP (SBP) and/or ≥ 90 mmHg diastolic BP (DBP).

A detailed history was obtained, and complete clinical examination was performed including patients’ weight and height to calculate body mass index (BMI).

Office pressure blood pressure measurement was done according to ESC 2013; we measured the systolic and diastolic blood pressure and compared the results with those of ABPM and NICBP.

For measurements of ABPM, we used NICE recommendations to ensure that at least two measurements per hour are taken during the person’s usual waking hours. We used the average value of at least 14 measurements taken during the person's usual waking hours to confirm a diagnosis of hypertension. The device was programmed to obtain BP readings at 30-min interval during the day (08:00–22:00 h) and at 60-min intervals during the night (22:00–08:00 h) [9]. We measured systolic and diastolic blood pressure and compared the results with those of office BP and NICBP.

Blood pressure varies over 24 h with a number of well-recognized patterns. Dippers are individuals characterized by at least a 10% decline in nocturnal BP compared to their awake BP [10]. Most of the patients are dippers. Non-dippers are individuals having blunted or absent blood pressures which decline during sleep [11]. Approximately 10–30% of patients are “non-dippers,” and in our study, non-dippers represent 34% of our patients.

We obtained the central blood pressure curve of our patients in a quiet, temperature-controlled examination room at the hypertension clinic. Three measurements were taken with a 2-min break between them by using Mobilograph device. The procedure was performed with the patient in a supine position and using an adequately sized cuff (the Mobil-O-Graph 24 h PWA ABPM device (IEM, Stolberg, Germany) [12, 13]).

We measured systolic and diastolic blood pressures and compared them with the measurements of both office and ABPM.

We measured pulse wave velocity (m/s) (PWV) by Mobilograph and compared the result and age to detect the degree of arterial thickness related to hypertension. The slower the pulse wave velocity is, the better the heart health is. However, normal pulse wave velocity values vary according to age. We measured also the mean arterial pressure (MAP) and augmentation index (AI).

Blood samples were collected to measure serum creatinine and to exclude patients with a glomerular filtration rate of < 30 ml/min/1.73 m2. The measurement of GFR was obtained by the Cockcroft-Gault formula study equation.

ECG was used to measure the left ventricular hypertrophy (LVH) using “Sokolow-Lyon ≥ 38 mm [14]. Echocardiography using Phillips IE33 ultrasound system was performed to all patients in addition to controls. Images were obtained from the short-axis view and longitudinal parasternal 4-chamber, 2-chamber, and 5-chamber slices. LV mass (LVM) and LVMI were calculate using LVMI = LV mass/BSA calculated by the Mosteller formula [15]. Ejection fraction (EF %) was calculated using Simpson’s method [16].

Carotid intimal medial thickness (CIMT) was measured with Doppler ultrasound (US) on the carotid artery to detect increased thickness related to hypertension. The intima-media complex can easily be distinguished from the surrounding tissue in US images, and the distinct borders allow for manual as well as automatic measurements of the CIMT. Damage is defined as the presence of CIMT > 0.9 mm or plaque [17].

ABI was calculated by measuring the systolic blood pressure from both brachial arteries and from both the dorsalis pedis and posterior tibial arteries at rest in the supine position. The systolic pressures were recorded with a handheld 5- or 10-mHz Doppler instrument [18, 19]. Normal ABI ranges from 1.0 to 1.4; values above 1.4 suggest a non-compressible calcified vessel. However, a value below 0.9 is considered diagnostic of peripheral arterial disease (PAD).

Statistical analysis

The data were tested for normality using the Anderson-Darling test and for homogeneity variances prior to the further statistical analysis. Categorical variables were described by the number and percent (N, %), where continuous variables are described by mean and standard deviation (mean, SD). The chi-square test and Fisher exact test were used to compare categorical variables where comparisons between continuous variables were done by t test and independent samples t test ANOVA. A two-tailed p < 0.05 was considered statistically significant. We used the Pearson and Spearman correlation to determine the association between variables. All analyses were performed with the IBM SPSS 20.0 software. The receiver operating characteristic (ROC) curve was done for the most powerful predictors for determination of cutoff point to be a risk factor for end organ damage. Post hoc tests are run to confirm where the differences occurred between groups; they should only be run when you have a shown an overall statistically significant difference in group means (i.e., a statistically significant one-way ANOVA result).


The demographic and clinical characteristics of the study population are presented in Tables 1, 2, 3, 4 and 5, (Figs. 1, 2, 3 and 4).

Table 1 Characteristics of the controlled versus uncontrolled groups with office blood pressure measurement
Table 2 Blood pressure variability
Table 3 Relation between SBP measured by different tools monitoring and early hypertensive end organ damage
Table 4 The correlation between each blood pressure monitoring and hypertensive end organ damage parameters
Table 5 Logistic regression models for hypertensive end organ damage
Fig. 1
figure 1

High sensitivity of ABPM DBP with CIMT (92.9%)

Fig. 2
figure 2

High sensitivity of ABPM SBP with ABI (98.2%)

Fig. 3
figure 3

High specificity of central SBP with PWV (97.6%)

Fig. 4
figure 4

High sensitivity of central DBP with ABI (90.3%)


In our study, we found that 24 h ABPM and non-invasive central BP monitoring are good predictable measures for early detection of hypertensive end organ damage.

In accordance with our results, Hansen et al. compare between 24 h ABPM and office BP. ABPM and office BP were entered in the same multivariate models, only the ABPM was a significant predictor of all-cause mortality and cardiovascular mortality; however, the relative risks of cardiovascular mortality were lower for office blood pressure, and office blood pressure did not predict all-cause mortality [20]. Wang et al. showed that central BP is more valuable than other blood pressure variables in predicting cardiovascular mortality [7].

After the analysis of our data, we found that all tools of BP measurements (Office –ABPM – Central) are correlated significantly with ECG changes (LVH or LBBB). ABPM SBP and DBP parameters are significantly correlated with ECG changes caused by hypertension. Central SBP, DBP, and PWV parameters are significantly correlated with ECG changes caused by hypertension.

We found that 24 h APBM and central BP are strong predictors for increasing in LVM as assessed by echocardiography. de Luca et al. showed the superiority of central SBP over brachial SBP as a major determinant of LVM regression which has recently been shown in 52 hypertensive patients treated with low-dose perindopril/indapamide and atenolol [21].

Central BP is more closely correlated with widely accepted surrogate measures of cardiovascular risk such as LVMI; a closer association of central pressure with LVMI was also found in the population-based Strong Heart Study [22] in which central systolic BP was more strongly associated with LVH determined by echocardiography. ABPM SBP and DBP parameters are significantly correlated with LVMI changes caused by hypertension. Central SBP and PWV parameters are significantly correlated with LVMI changes caused by hypertension.

Central BP and 24 h ABPM are significantly related to the changes in CIMT which are caused by hypertension. Mancia et al. had found that the end organ damage was determined not only by the degree of the high BP level but also by the 24 h ABPM. In our study, we found that both ABPM and central BP are also good predictors for CIMT changes but office BP is not conclusive for hypertensive CIMT changes. ABPM SBP and DBP parameters are significantly correlated with CIMT changes caused by hypertension. Central SBP and PWV parameters are significantly correlated with CIMT changes caused by hypertension.

PWV is an important marker for cardiovascular changes, and in our study, we find that both ABPM and central BP are significantly related to PWV with some superiority to central BP. In accordance with our results, Spronck et al. stated that office and out-of-office BP are independent predictors of aortic PWV in hypertension.

Elevated BP values over the 24 h are associated with increased aortic stiffness, so ABPM is a good predictor [23]. ABPM SBP and DBP parameters are significantly correlated with PWV changes caused by hypertension. Central SBP parameter is significantly correlated with PWV changes caused by hypertension.

In our study, we found that both 24 h ABPM and central BP are more predictable than office BP; however, Wittke et al. showed that the variability of systolic blood pressure over time derived from ABPM is associated with the ankle-brachial index [24]. ABPM SBP and DBP parameters are significantly correlated with ABI changes caused by hypertension. Central SBP, DBP, and PWV parameters are significantly correlated with ABI changes caused by hypertension.

Both ABPM and Central BP are correlated with changes in Cr level and GFR caused by hypertension in our study. However, this point is controversial with many studies, such as the Framingham Heart Study, which failed to identify an association between central BP and renal function [25] while Karras et al. [26] demonstrated that central hemodynamic and arterial stiffness parameters are associated with renal impairment. ABPM SBP and DBP parameters are significantly correlated with Cr level changes caused by hypertension. Central SBP, DBP, and PWV parameters are significantly correlated with Cr level changes caused by hypertension.


AMBP and NCBP show a significant relation to LVMI, CIMT, PWV, and GFR with little superiority of central BP while office BP does not. Systolic AMBP has high sensitivity to ABI and CIMT and systolic NCBP has a high sensitivity and specificity to ABI.

Availability of data and materials

The data and materials are available in our cardiology department.



Ankle-brachial index


Ambulatory blood pressure monitoring


Blood pressure


Blood pressure variability


Carotid intimal medial thickness






Diastolic BP




European Society of Cardiology


Glomerular filtration ratio


Intimal medial thickness


Left ventricular


Left ventricular hypertrophy


Left ventricular mass index


Pulse wave velocity


Systolic blood pressure


  1. O’brien E, Parati G, Stergiou G, Asmar R, Beilin L, Bilo G et al (2013) European Society of Hypertension position paper on ambulatory blood pressure monitoring. J Hypertens 31(9):1731–1768

    Article  Google Scholar 

  2. Anwar YA, White WB. Ambulatory monitoring of blood pressure. Blood pressure monitoring in cardiovascular medicine and therapeutics: Springer; 2001. p. 57-75.

  3. Lim SS, Vos T, Flaxman AD, Danaei G, Shibuya K, Adair-Rohani H et al (2012) A comparative risk assessment of burden of disease and injury attributable to 67 risk factors and risk factor clusters in 21 regions, 1990–2010: a systematic analysis for the Global Burden of Disease Study 2010. The lancet. 380(9859):2224–2260

    Article  Google Scholar 

  4. Mancia G, Laurent S, Agabiti-Rosei E, Ambrosioni E, Burnier M, Caulfield MJ et al (2009) Reappraisal of European guidelines on hypertension management: a European Society of Hypertension Task Force document. Blood pressure. 18(6):308–347

    Article  CAS  Google Scholar 

  5. McEniery CM, Cockcroft JR, Roman MJ, Franklin SS, Wilkinson IB (2014) Central blood pressure: current evidence and clinical importance. European heart journal. 35(26):1719–1725

    Article  Google Scholar 

  6. Pini R, Cavallini MC, Palmieri V, Marchionni N, Di Bari M, Devereux RB et al (2008) Central but not brachial blood pressure predicts cardiovascular events in an unselected geriatric population: the ICARe Dicomano Study. J Am Coll Cardiol 51(25):2432–2439

    Article  Google Scholar 

  7. Wang K-L, Cheng H-M, Chuang S-Y, Spurgeon HA, Ting C-T, Lakatta EG et al (2009) Central or peripheral systolic or pulse pressure: which best relates to target-organs and future mortality. Journal of hypertension. 27(3):461

    Article  CAS  Google Scholar 

  8. Laurent S, Boutouyrie P (2007) Arterial stiffness: a new surrogate end point for cardiovascular disease? J Nephrol 20:S45–S50

    PubMed  Google Scholar 

  9. McCormack T, Krause T, O'Flynn N (2012) Management of hypertension in adults in primary care: NICE guideline. Br J Gen Pract. 62(596):163–164

    Article  Google Scholar 

  10. Snyder F, Hobson JA, Morrison DF, Goldfrank F (1964) Changes in respiration, heart rate, and systolic blood pressure in human sleep. Journal of Applied Physiology. 19(3):417–422

    Article  CAS  Google Scholar 

  11. Staessen JA, Thijs L, Fagard R, O'brien ET, Clement D, de Leeuw PW et al (1999) Predicting cardiovascular risk using conventional vs ambulatory blood pressure in older patients with systolic hypertension. Jama. 282(6):539–546

    Article  CAS  Google Scholar 

  12. Jones CR, Taylor K, Chowienczyk P, Poston L, Shennan AH (2000) A validation of the Mobil O Graph (version 12) ambulatory blood pressure monitor. Blood pressure monitoring. 5(4):233–238

    Article  CAS  Google Scholar 

  13. Franssen PM, Imholz BP (2010) Evaluation of the Mobil-O-Graph new generation ABPM device using the ESH criteria. Blood Press Monit 15(4):229–231

    Article  Google Scholar 

  14. Okin PM, Roman MJ, Devereux RB, Pickering TG, Borer JS, Kligfield P (1998) Time-voltage QRS area of the 12-lead electrocardiogram. Hypertension. 31(4):937–942

    Article  CAS  Google Scholar 

  15. Mosteller RD. Simplified calculation of body surface area. N Engl J Med. 1987;317:1098.

    CAS  PubMed  Google Scholar 

  16. Lang RM, Badano LP, Mor-Avi V, Afilalo J, Armstrong A, Ernande L et al (2015) Recommendations for cardiac chamber quantification by echocardiography in adults: an update from the American Society of Echocardiography and the European Association of Cardiovascular Imaging. European Heart Journal-Cardiovascular Imaging. 16(3):233–271

    Article  Google Scholar 

  17. Pignoli P, Tremoli E, Poli A, Oreste P, Paoletti R (1986) Intimal plus medial thickness of the arterial wall: a direct measurement with ultrasound imaging. circulation. 74(6):1399–1406

    Article  CAS  Google Scholar 

  18. WOCN CPWS. Ankle brachial index: quick reference guide for clinicians. J Wound Ostomy Continence Nurs 2012;39(2 Suppl):S21.

  19. Kim E, Wattanakit K, Gornik HL (2012) Using the ankle-brachial index to diagnose peripheral artery disease and assess cardiovascular risk. Cleve Clin J Med 79(9):651–661

    Article  Google Scholar 

  20. Hansen TW, Jeppesen J, Rasmussen S, Ibsen H, Torp-Pedersen C (2005) Ambulatory blood pressure and mortality. Hypertension. 45(4):499–504

    Article  CAS  Google Scholar 

  21. de Luca N, Asmar RG, London GM (2004) O'rourke MF, Safar ME. Selective reduction of cardiac mass and central blood pressure on low-dose combination perindopril/indapamide in hypertensive subjects. J Hypertens 22(8):1623–1630

    Article  Google Scholar 

  22. Roman MJ, Devereux RB, Kizer JR, Lee ET, Galloway JM, Ali T et al (2007) Central pressure more strongly relates to vascular disease and outcome than does brachial pressure. Hypertension. 50(1):197–203

    Article  CAS  Google Scholar 

  23. Spronck B, Heusinkveld MH, Vanmolkot FH, Op’t Roodt J, Hermeling E, Delhaas T et al (2015) Pressure-dependence of arterial stiffness: potential clinical implications. J Hypertens 33(2):330–338

    Article  CAS  Google Scholar 

  24. Wittke E, Fuchs SC, Fuchs FD, Moreira LB, Ferlin E, Cichelero FT et al (2010) Association between different measurements of blood pressure variability by ABP monitoring and ankle-brachial index. BMC cardiovascular disorders. 10(1):55

    Article  Google Scholar 

  25. Upadhyay A, Hwang S-J, Mitchell GF, Vasan RS, Vita JA, Stantchev PI et al (2009) Arterial stiffness in mild-to-moderate CKD. Journal of the American Society of Nephrology. 20(9):2044–2053

    Article  CAS  Google Scholar 

  26. Karras A, Haymann J-P, Bozec E, Metzger M, Jacquot C, Maruani G, Houillier P, Froissart M, Stengel B, Guardiola P (2012) Large artery stiffening and remodeling are independently associated with all-cause mortality and cardiovascular events in chronic kidney disease. Hypertension. 2012;60(6):1451–7

    Article  CAS  Google Scholar 

Download references


First of all, all gratitude is due to Allah the almighty that guided and aided me in bringing this thesis to light which would have never been crowned by success without the blessing of Allah to whom my faithful loyalty will remain however beyond any compromises. I would like to express my thanks to my professors, colleagues, and patients and their relatives for their great help.

My great appreciation and praise go to my family especially my father, my mother, and my wife for their support throughout the whole duration of the study.

Study limitations

  1. 1.

    The difference in time of measuring ABPM was done over 24 h while central blood pressure monitoring during only 30 min

  2. 2.

    Investigations were done over a period of several days which was an obstacle for some patients to continue in the study. These patients had to be excluded

  3. 3.

    Unawareness of the serious complications of hypertension for many patients

  4. 4.

    The small number of patient population


No funding was received for this study.

Author information

Authors and Affiliations



MA carried out the practical part of the research with AS, then HH and DF made the plan of the work and check every single detail in the research. All authors have read and approved the manuscript.

Corresponding author

Correspondence to Ahmed El-Sherif El-Kousy.

Ethics declarations

Ethics approval and consent to participate

Prior to subject recruitment, the study protocol was reviewed and approved by the research ethics committee of the Faculty of Medicine Assiut University. Oral and written consents were obtained from all the participants in the study.

Consent for publications

All participants in the study approved the publication.

Competing interest

No funding was received for this study; all materials were taken from the Department of Cardiology, Assiut Hospital. The authors declare that they have no competing interests.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (, which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Fouad, D.A., Al Araby, H.H., Ashraf, M. et al. Comparison between central and ambulatory blood pressure measurements in early detection of end organ damage: a single-center prospective non-randomized controlled trial. Egypt Heart J 71, 14 (2019).

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: