Skip to main content
  • Research article
  • Open access
  • Published:

Optimising the accuracy of blood pressure monitoring in chronic kidney disease: the utility of BpTRU

Abstract

Background

Accurate blood pressure monitoring is critical for the management of chronic kidney disease, but changes in management in secondary care clinics may be based on a single blood pressure reading, with a subsequent lack of accuracy. The aim of this study was to evaluate a fully automated sphygmomanometer for optimising the accuracy of blood pressure measurements in the setting of secondary care renal clinics.

Methods

Patients had routine blood pressure measurements with a calibrated DINAMAP PRO400 monitor in a clinical assessment room. Patients then underwent repeat assessment with a DINAMAP PRO400 monitor and BpTRU device and subsequent 24 hour ambulatory blood pressure monitoring (ABPM).

Results

The BpTRU systolic (± SD) reading (117.3 ± 14.1 mmHg) was significantly lower than the routine clinic mean systolic blood pressure (143.8 ± 15.5 mmHg; P < 0.001) and the repeat blood pressure taken with a DINAMAP PRO400 monitor in a quiet room (129.9 ± 19.9 mmHg; P < 0.001). The routine clinic mean diastolic (82.4 ± 11.2 mmHg) was significantly higher than the BpTRU reading (78.4 ± 10.0 mmHg; P < 0.001). Clinic BpTRU measurements were not significantly different to the daytime mean or overall mean of 24 hour ABPM.

Conclusions

In patients with CKD, routine clinic blood pressure measurements were significantly higher than measurements using a BpTRU machine in a quiet room, but there was no significant difference in this setting between BpTRU readings and 24 hour ABPM. Adjusting clinic protocols to utilise the most accurate blood pressure technique available is a simple manoeuvre that could deliver major improvements in clinical practice.

Peer Review reports

Background

Chronic kidney disease (CKD) affects up to 15% of the adult population [14] and is associated with a high morbidity and mortality. Hypertension is present in up to 90% of people with CKD [5, 6] and is the most important modifiable risk factor in the clinical management of people with CKD [79]. Accurate blood pressure (BP) monitoring is therefore a critical component of the management of people with CKD both for risk stratification and for the appropriate use of anti-hypertensive therapy and lifestyle modification to manage BP to recommended levels [10].

Patients at highest risk from CKD are managed in secondary care renal clinics; however, the management changes that clinicians recommend in this setting are often based on a single clinic BP reading. Use of a single clinic measurement may over-diagnose hypertension in up to 30% of the general population [1113]; in many patients identified by conventional criteria as having hypertension, this increase in BP is confined to the clinic setting and described as 'white-coat hypertension’ [14, 15]. If 'white-coat hypertension’ is not correctly identified, patients may subsequently receive unnecessary antihypertensive treatment [16]. Conversely, some patients with a normal clinic BP reading have a high awake ambulatory BP, described as 'masked hypertension’; the prevalence of this varies, but a meta-analysis carried out by Bangash & Agarwal reported a prevalence of 33% in CKD patients [1720]; therefore use of a single clinic BP measurement may also lead to under-treatment in high-risk patients [13].

In addition to the shortfalls of a single BP measurement, inaccuracies may be caused by operator errors; these include incorrect positioning of the patient, inappropriate cuff usage, an inadequate rest period and overly rapid deflation rate [13, 2125]. Independently validated, fully automated sphygmomanometers may eliminate many of the factors contributing to inaccurate BP readings in clinical practice [2628].

Ambulatory BP monitoring allows BP to be measured over a prolonged period (normally 24 hours) and is currently considered the 'gold standard’ for the diagnosis of hypertension [29, 30]. An additional consideration is blunting of sleep-time decline in BP ('non-dipping’), as identified by ABPM; this is very common in patients with CKD and may be an important determinant of increased cardiovascular disease mortality [3151]. However, there is a significant resource implication from 24 hour ABPM, so although it is considered cost-effective for diagnosis of hypertension [30], it is neither cost-effective nor practical for regular routine monitoring of BP, or for guiding changes in antihypertensive treatment. Furthermore, patients prefer home self-measurement or clinic measurement over ABPM, mainly due to the discomfort and disturbance of life and sleep caused by the ABPM [52].

The BpTRU device is a fully automated sphygmomanometer that takes six sequential BP readings at pre-set intervals; it automatically discards the first reading and produces an average BP from the last five readings. The BpTRU device has been clinically validated to British Hypertension Society (BHS) A/A grade accuracy [26]. Studies carried out in primary care have shown that BpTRU readings correlate more closely with ambulatory BP readings than routine clinic readings [29, 5355]. A single study carried out in secondary care CKD clinics showed that BpTRU readings are lower than routine clinic BP measurements [56]. However, the use of BpTRU monitors has not been fully evaluated in the setting of high-risk CKD in secondary care; this is an important shortfall in evidence, as optimisation of BP assessment is crucial for accurate outcomes in patients with CKD.

The aim of this study was to investigate the clinical utility of the BpTRU device in people with CKD who are attending secondary care clinics. To address this, we have assessed the relationship between i) routinely taken single BP measurements and clinic BpTRU measurements and ii) clinic BpTRU measurements and 24 hour ambulatory BP measurements.

Methods

Study design

This study was registered with the Trust Research & Development at University Hospital Birmingham as part of a clinical service evaluation (CA2-03382-10), and fully complies with the Declaration of Helsinki. The patients were adults attending nephrology outpatient clinics at the Queen Elizabeth Hospital Birmingham. Each patient had a routine clinic BP taken by a clinic nurse in a multi-use clinical assessment room, using a calibrated DINAMAP PRO400 monitor (GE Healthcare, UK). The DINAMAP PRO monitor series have been validated [57] and shown to exceed the Association for the Advancement of Medical Instrumentation (AAMI) standards. Subjects were seated with their back supported, and the cuff applied to the non-dominant arm at heart level. A single routine clinic BP reading was taken for each individual.

After the routine clinic BP check, patients were approached (by SB) and asked to participate in an assessment of the accuracy of BP measurements. All of the patients who were approached gave informed consent; they were then allocated into one of two groups: the first 45 consecutive patients are reported as 'Group A', a further 25 consecutive patients are reported as 'Group B’. Twenty one consecutive patients attending the outpatient department for ambulatory BP monitoring and who underwent BpTRU evaluation immediately before ambulatory BP monitoring are reported as 'Group C’. A flow diagram summarising the BP measurement schedule is shown in Figure 1.

Figure 1
figure 1

Flow diagram showing the order of different BP measurements for Groups A, B and C.

Group A (n = 45) underwent repeat assessment with a separate calibrated DINAMAP PRO400 monitor and then assessment by a BpTRU device (BpTRU Medical Devices, Coquitlam, BC, Canada) in a quiet clinic room with only the operator present. Of this group, 24 patients had BP re-measured with the DINAMAP PRO400 monitor. They then had BP taken with a one-off reading with the BpTRU monitor. This was followed by a five-minute rest period (consistent with BHS guidelines), and then BP measurement with the BpTRU device, using the full six minute protocol. For BpTRU measurements, the patient was seated (back supported) and the appropriate cuff size, according to measurements on the BpTRU cuffs, was applied to the non-dominant arm (same arm as used for routine clinic BP measurement), at the level of the heart. The BpTRU device is a fully automated sphygmomanometer, which uses the oscillometric technique, and has been clinically validated to BHS A/A accuracy [26]. It is designed to take a series of six readings, at intervals of one minute. The initial reading verifies that the cuff is properly positioned to obtain valid readings; this reading is then discarded and an average of the last five readings is calculated and displayed. In this study, the interval between individual readings was set to one minute (from the start of one reading to the start of the next), as recent studies have shown similar readings at one or two minute intervals [58]. The operator was present throughout all six of the BpTRU readings; however, the patient and operator did not interact during the BP recordings (the reason for this was explained to the patient prior to commencing recordings). All six of the individual BpTRU readings, plus the final average reading, were recorded for each patient.

Group B (n = 25) underwent immediate repeat assessment in a quiet clinic room with the BpTRU monitor, using the full six minute protocol and with no five minute rest. Group C (n = 21) also underwent immediate repeat assessment with the BpTRU monitor in a quiet room (six minute protocol, no five minute rest); the patients in Group C then returned to the clinical assessment room to have their ambulatory BP device (ABPM-04 device, Meditech Ltd., Hungary) fitted. After fitting the ABPM monitor, an initial BP reading was taken (patients sitting with their back supported and the cuff at the level of the heart). The ABPM device was then set to obtain automatic BP readings in accordance with published guidelines [59]. The ABPM readings all took place on weekdays, and patients were advised to work and behave as usual. Patients returned to clinic after 24 hours and data from the ABPM was downloaded.

Data analysis

Descriptive statistics were calculated for all patients involved in the study (n = 91) and the three groups. Continuous variables are reported as mean ± standard deviation throughout where normally distributed. The analysis focused on comparisons of different BP readings: i) BP measured with a DINAMAP PRO400 monitor in a clinical assessment room as part of routine clinic proceedings; ii) BP measured with DINAMAP PRO400 monitor in a quiet clinic room; iii) BP measured with a BpTRU device in a quiet room, with or without a five minute rest beforehand and iv) BP measured with the ABPM device.

GraphPad Prism (Version 4, San Diego, CA, USA) was used for all statistical analysis. Data were checked for Gaussian distribution prior to further analysis. For data that were normally distributed, we used analysis of variance (ANOVA; repeated measures if paired data) to reveal significant differences overall; Bonferroni’s multiple comparisons post hoc tests were then used to show specific differences between groups. Non-Gaussian data (descriptive statistics only) were analysed with non-parametric Kruskal-Wallis ANOVA tests. Paired Student’s t-tests were used to reveal significant differences between routine clinic and BpTRU BP readings (comparing two different readings only); noted in the relevant Figure legends. Correlation between eGFR and nocturnal ambulatory BP blunting was assessed using Pearson’s correlation coefficient (the data were confirmed as Gaussian prior to using this method). A critical P value of P < 0.05 was considered significant for the statistical tests used throughout this study. Graphically, P < 0.05 is denoted as *, P < 0.01 as **, and P < 0.001 as ***.

Results

Ninety one patients were included in the study; 34 female (37.4%) and 57 male (62.6%). The mean age was 49 years (± 18.4), with a range of 16 – 83 years. There was no significant difference in age or gender between the groups.

The overall mean estimated glomerular filtration rate (eGFR) was 45.1 ± 24.2 (range 4 – 92) ml/ min/1.73 m2. The overall mean albumin:creatinine ratio (ACR) was 54.6 ± 146.3 (0 – 1203.6) mg/mmol. There was no significant difference in eGFR or ACR between each group (Table 1).

Table 1 Demographic and clinical characteristics of study population

Measurements with BpTRU are significantly lower than routine clinic BP measurements

The BpTRU systolic reading (122.0 ± 13.9 (96 – 150) mmHg) was significantly lower than the routine clinic systolic BP (149.7 ± 18.5 (117 – 209) mmHg; n = 45; P < 0.0001). The BpTRU diastolic reading (78.4 ± 10.0 (53 - 97) mmHg) was significantly lower than the routine clinic diastolic BP (82.4 ± 11.2 (49 – 100) mmHg; n = 45; P = 0.0033; Figure 2).

Figure 2
figure 2

Comparison between routine clinic BP and BpTRU measurements. A. Bar graph showing comparison between routine clinic systolic BP and mean systolic BP measured with BpTRU. Routine clinic systolic was significantly higher than BpTRU systolic (P < 0.0001; paired t-test; 'n’ in parentheses). B. Bar graph showing comparison between routine clinic diastolic BP and mean diastolic BP measured with BpTRU. Routine clinic diastolic was significantly higher than BpTRU diastolic (P = 0.0033; paired t-test; 'n’ in parentheses).

Measurements with BpTRU are significantly lower than DINAMAP PRO400 measurements

The mean BpTRU systolic reading (117.3 ± 14.1 mmHg) was significantly lower than both routine clinic systolic (143.8 ± 15.5 mmHg) and systolic BP taken with a DINAMAP PRO400 monitor in a quiet room (129.9 ± 19.9 mmHg; n = 24; P < 0.001). The mean BpTRU diastolic reading (74.1 ± 9.2 mmHg) was also significantly lower than both the routine clinic mean diastolic (78.9 ± 12.2 mmHg) and diastolic recorded with a DINAMAP PRO400 monitor in a quiet room (73.8 ± 10.0 mmHg; n = 24; P < 0.05; Figure 3).

Figure 3
figure 3

Comparison between DINAMAP PRO400 and BpTRU measurements. A. Bar graph showing comparison between routine clinic systolic BP, systolic BP measured with the DINAMAP PRO400 monitor in a quiet room, and systolic BP recorded with BpTRU. ANOVA (repeated measures) showed a significant overall difference (P < 0.0001); Bonferroni’s multiple comparison post hoc test showed that the routine clinic reading was significantly higher than both the reading with the DINAMAP PRO400 monitor in the quiet room (P < 0.001) and the BpTRU reading (P < 0.001). The BpTRU reading was also significantly lower than the reading with a DINAMAP PRO400 monitor in the quiet room (P < 0.001). B. Bar graph showing comparison between mean diastolic BP values, measured as described in A. ANOVA (repeated measures) showed a significant overall difference (P = 0.0073); Bonferroni’s multiple comparison post hoc test showed that the routine clinic reading was significantly higher than both the reading taken with the DINAMAP PRO400 monitor in a quiet room (P < 0.05) and the reading taken with BpTRU (P < 0.05).

The first BpTRU reading is significantly higher than the average BpTRU reading

In our study, where the operator was present throughout all six BpTRU readings, the mean first BpTRU measurement (134 ± 23 / 81 ± 13 mmHg) was significantly higher than the mean BpTRU average final reading (128 ± 19 80 ± 13 mmHg; n = 91; P < 0.001; Figure 4).

Figure 4
figure 4

Comparison between first BpTRU reading and average BpTRU reading. A. Combined data for all patients, showing mean individual and average BpTRU systolic readings. ANOVA (repeated measures) showed a significant difference (P < 0.0001). Bonferroni’s multiple comparison post hoc test showed that the mean first BpTRU systolic measurement (± SD) (133.8 ± 22.5 mmHg) was significantly higher than the final average BpTRU systolic measurement (127.9 ± 19.0 mmHg; n = 91; P < 0.001). B. Combined data showing mean individual and average BpTRU diastolic readings. ANOVA (repeated measures) showed a significant difference (P < 0.0001); the subsequent Bonferroni’s post hoc test showed that the mean first BpTRU diastolic reading (81.2 ± 13.3 mmHg) was significantly higher than the final average BpTRU diastolic reading (80.2 ± 13.0 mmHg; n = 91; P < 0.001).

Measurements with BpTRU do not require a five minute rest period

Group A had a five-minute rest period between routine clinic BP readings and BpTRU readings, whereas Group B did not. The BpTRU systolic measurements were significantly lower than routine clinic measurements (P < 0.001 for both Group A and Group B). However, there was no significant difference between BpTRU systolic readings from Group A (122.0 ± 13.9 mmHg; n = 45) and Group B (129.2 ± 16.9 mmHg; n = 25; P > 0.05; Figure 5). The five-minute rest period did not have a significant effect on the diastolic BP (P = 0.32).

Figure 5
figure 5

Effect of five minute rest period on systolic BP. Bar graph showing the difference between routine clinic systolic and BpTRU systolic, with or without a 5 minute rest period prior to BpTRU measurements. ANOVA showed a significant overall difference (P < 0.0001); Bonferroni’s multiple comparison post hoc test showed significant differences between routine clinic systolic and BpTRU average systolic for both Group A (P < 0.001) and Group B (P < 0.001). The mean systolic BpTRU readings were not significantly different between Group A and Group B (P > 0.05).

Routine clinic BP readings are significantly higher than ambulatory BP

In Group C patients, the routine clinic systolic reading (159.6 ± 23.5 mmHg) was significantly higher than the ABPM daytime mean systolic (147.5 ± 17.0 mmHg; P < 0.05) and the ABPM overall mean systolic (143.1 ± 17.5 mmHg; P < 0.001). The routine clinic diastolic reading (90.5 ± 16.2 mmHg) was significantly higher than the ABPM overall mean diastolic value (81.8 ± 15.0 mmHg; P < 0.05; Figure 6).

Figure 6
figure 6

Comparison between routine clinic readings and ambulatory BP. A. Bar graph comparing routine clinic systolic BP with the daytime and overall mean systolic readings obtained through ABPM. ANOVA (repeated measures) showed a significant overall difference (P < 0.0001). Bonferroni’s multiple comparisons post hoc tests showed that the routine clinic systolic reading was significantly higher than the ABPM daytime (P < 0.05) and ABPM overall (P < 0.001) systolic readings. B. Bar graph comparing routine clinic diastolic BP with the daytime and overall mean diastolic readings obtained through ABPM. ANOVA (repeated measures) showed a significant overall difference (P < 0.0001). Bonferroni’s multiple comparisons post hoc tests showed that the routine clinic diastolic reading was significantly higher than ABPM overall diastolic reading (P < 0.05).

BpTRU readings are not significantly different to ambulatory BP measurements

Group C patients also had their BP measured with BpTRU prior to 24 hour ABPM. The BpTRU mean systolic reading (140.3 ± 25.7 mmHg) was not significantly different to either the ABPM daytime mean systolic (147.5 ± 17.0 mmHg; P > 0.05), or the ABPM overall mean systolic (143.1 ± 17.5 mmHg; P > 0.05). There was no significant difference between the BpTRU diastolic reading (89.1 ± 16.9 mmHg) and the ABPM daytime mean (85.4 ± 15.4 mmHg; P > 0.05) or ABPM overall mean diastolic measurements (81.8 ± 15.0 mmHg; P > 0.05; Figure 7).

Figure 7
figure 7

Comparison between BpTRU measurements and ambulatory BP. A. Bar graph comparing systolic BpTRU readings with the daytime and overall mean systolic readings obtained through ABPM. ANOVA (repeated measures) showed no significant differences between the BpTRU readings and either the daytime mean or overall mean ABPM readings (P > 0.05). B. Bar graph comparing diastolic BpTRU readings with the daytime and overall mean diastolic readings obtained through ABPM. ANOVA (repeated measures) showed no significant differences (P > 0.05).

Night-time ambulatory BP is significantly lower than day-time and overall ambulatory BP, but there is a high prevalence of nocturnal blunting

Patients in Group C (n = 21) underwent routine clinic BP measurements, followed by BpTRU readings, prior to having 24 hour ABPM. The night-time mean ambulatory systolic BP (135.6 ± 20.1 mmHg) was significantly lower than both the day-time (147.5 ± 17.0 mmHg; P < 0.001) and overall (143.1 ± 17.5 mmHg; P < 0.001) ambulatory systolic BP readings (denoted as *** in Table 2). Similarly, the night-time mean ambulatory diastolic BP (75.3 ± 16.2 mmHg) was significantly lower than both the day-time (85.4 ± 15.4 mmHg; P < 0.001) and overall (81.8 ± 15.0 mmHg; P < 0.001) ambulatory diastolic BP readings (denoted as *** in Table 2). However, 66.7% of patients showed blunting of nocturnal systolic BP. The mean difference between night-time and day-time systolic BP was 6.44 ± 9.0% for patients with an eGFR <30 ml/min/ 1.71 m2 (n = 5); 6.28 ± 2.83% for patients with an eGFR from 30-59 ml/ min/ 1.73 m2 (n = 10) and 12.80 ± 8.12% for patients with an eGFR ≥60 ml/min/ 1.73 m2 (n = 6). There was a positive correlation (non-significant) between eGFR and difference between day-time and night-time systolic BP (Pearson’s correlation coefficient = 0.31; P = 0.17); the lack of statistical significance may reflect the relatively small numbers who underwent ABPM in the study.

Table 2 Comparison between ambulatory BP readings

Discussion

This study showed that the use of BpTRU in an outpatient CKD clinic leads to significantly more accurate BP measurement (using 24 hour ABPM as a gold standard) than BP obtained with a conventional BP monitor (DINAMAP PRO400); in this study, there was no significant statistical difference between BP readings taken with BpTRU and daytime and overall 24 hour ABPM. The results show a hierarchy of increasing accuracy from single clinic BP measurements to BpTRU on full protocol; these differences in BP, when measured under different conditions, have important clinical implications and may lead to inaccurate BP management.

In addition, we have shown that BpTRU measurements taken in a quiet clinic room are significantly lower than the readings obtained with a DINAMAP PRO400 device in the same setting. We have also demonstrated that, in the presence of an operator, the first BpTRU reading is still significantly higher than the average BpTRU reading.

A number of primary care studies have investigated the difference between routine office BP measurements and average BpTRU readings. Three studies restricted their subjects to patients with an existing diagnosis of hypertension [29, 33, 34]; one study included both hypertensive and normotensive patients [39]. Beckett & Godwin showed that average BpTRU readings were significantly lower than the average of the routine office BP measurements taken at the last three clinic visits [29]. Myers et al. (2011) compared BpTRU readings with the most recent manual routine office BP. Their study also showed that average BpTRU readings were significantly lower than the routine office BP readings [34]. Myers et al. (2008) compared BpTRU readings with mean office manual BP readings taken on the same day. For the office readings in their study, four consecutive readings were taken at one minute intervals; the first reading was then discarded and the mean of the last three readings was recorded. Their results showed that the average BpTRU reading was significantly lower than the mean office BP [39]. Another study, also restricted to hypertensive patients, compared average BpTRU readings with the mean of three BP measurements auscultated simultaneously by a Hypertension Nurse Specialist using an aneroid sphygmomanometer (linked to the same cuff using 'Y’ tubing). This study found that, although there was 92% agreement between BpTRU readings and those measured by the Hypertension Nurse Specialist, there was still a significant difference in the readings [25]. The results that we present from this current study are therefore consistent with these previously published studies.

However, there are several differences between this study and previous studies carried out in primary care. Firstly, our measurements were taken in a secondary care outpatient clinic. Secondly, patients in this study were attending for routine appointments, rather than to participate in the study. Thirdly, all the patients had CKD; accurate BP assessment and management is particularly important in this patient group, as people with CKD are at very high risk of cardiovascular disease and hypertension is the major treatable risk factor for this complication. Finally, routine office BP measurements in previous studies have been taken with manual sphygmomanometers; this study compared average BpTRU readings to BP measurements taken with a DINAMAP PRO400 device, an automated sphygmomanometer which, like the BpTRU device, also uses the oscillometric technique.

A recent study compared BpTRU readings with routine clinic BP measurements in secondary care clinics [35]. The patients involved in the study had existing diagnoses of CKD and hypertension, and were attending for routine clinic appointments. Patients had their BP recorded with a BpTRU device (no five minute rest) prior to having their routine clinic BP measured with an automated monitor. The study showed that routine clinic BP readings were significantly higher than BpTRU readings, which is consistent with the results of our study and previously published work from primary care. However, there are differences between this study and our current work. Firstly, our study does not limit the patient population to those with existing hypertension. Secondly, in our study, an observer was present throughout the recordings; this is more practical for routine use in the busy outpatient setting. Finally, our work further investigates the potential use of BpTRU in secondary care clinics by comparing BpTRU readings to ABPM (gold standard) measurements collected on the same day.

Several previous studies showing a significant difference between BpTRU and routine clinic measurements have included a five-minute rest prior to carrying out measurements with BpTRU, as per the BHS guidelines [25, 29, 54, 60]. However, recent studies have shown that, in the absence of the five-minute rest, the significant difference between average BpTRU readings and routine clinic readings persists [55, 56]. Our results indicate that, in the setting in which this current study was carried out, average BpTRU readings are significantly lower than routine clinic readings in the presence or absence of the five-minute rest period, confirming that the five minute rest period is not essential with BpTRU. Furthermore, there was no significant difference detected between average BpTRU readings obtained without a five minute rest period, and the daytime mean or overall mean of 24 hour ABPM demonstrating the accuracy of the BpTRU readings without the five minute rest.

The first BpTRU reading was significantly higher than the average BpTRU reading. This is in agreement with results reported by previous studies [29, 55, 61]. In these studies, however, the operator was present for the first BpTRU reading, but then left the patient alone from the second reading onwards. One study reported that the initial reading with BpTRU (observer present) was not significantly different to the manual office reading (observer also present), but that the average BpTRU reading (observer absent) was significantly lower than both of these [61]. This difference between the first and average BpTRU readings has therefore been attributed to the white coat effect, with the conclusion that it is the act of the observer leaving the patient, which results in the subsequently lower BP readings. Indeed, Myers et al. (2011) commented “the simple presence of an observer seems to increase BP, as marked decreases in automated office BP are evident within two minutes of the observer leaving the room” [55]. A separate study included mean BP measurements taken with a home automated sphygmomanometer, self-activated (five times, at one minute intervals) by patients sitting alone in a quiet room. They found that, in hypertensive patients, the mean of these self-measured BP readings was significantly higher than both BpTRU readings and awake ABPM readings [53], suggesting that the differences between BpTRU and other methods of BP measurement are not only down to the fact that the BpTRU device enables the observer to be absent during the BP recordings. In our study, the operator was present throughout all six of the BpTRU readings, although there was no interaction between the operator and patient during the readings. In the busy outpatient setting, it is not possible to have separate rooms for each patient having their BP measured. Our results confirm that, even in the presence of an operator, the average BpTRU reading is still significantly lower than the first BpTRU reading, and there is still a marked decrease in BP within the first three BpTRU readings.

Night-time ambulatory BP readings were significantly lower than the daytime and overall ambulatory BP readings. However, a blunted sleep-time decline (“non-dipping”; <10% difference between day-time and night-time systolic BP) in BP was common; a finding consistent with other studies that have assessed people with CKD [3135]. Blunted sleep-time decline has been associated with an increased incidence of cardiovascular disease in CKD and other settings [3551]; this has important implications for the management of BP in people with CKD [35, 36, 40, 45, 46, 6276]. The current study was cross-sectional and not powered to assess the relationship between blunting and clinical outcomes or the impact of optimisation of BP management on nocturnal blunting.

In this study, there was no detectable difference between average BpTRU readings obtained in outpatient clinics and the daytime mean or overall mean readings from 24 hour ABPM; again, this is consistent with other published studies [29, 5355]. Beckett & Godwin found that there was no significant difference between average BpTRU readings and the daytime mean of ABPM carried out on the same day [29]. A second study showed that average BpTRU readings correlate better with awake ambulatory readings than mean routine office BP measurements [54]. A third study also found that the correlation between BpTRU readings and awake ambulatory BP was stronger than that between routine office BP readings and awake ambulatory BP, although there was still a significant difference between BpTRU and ABPM readings [55]. However, the ABPM readings in this study were obtained at an unspecified length of time prior to patients having their BpTRU readings taken [55]. The data that we report in this paper provide the first evidence that, in a true clinical setting involving patients with CKD attending outpatient clinics, there is no discernible difference between average BpTRU readings and the daytime mean of 24 hour ambulatory BP monitoring carried out on the same day. Regular, accurate BP assessment and management is particularly important in these patients, as hypertension is a major treatable risk factor for cardiovascular disease.

One shortfall of the study is the absence of 48-hour ABPM data. A recent consensus recommendation concluded that 48-hour ABPM should be utilised for assessment of hypertension, including patients with CKD [76]. The data presented in this study predate that recommendation; the recently updated European Hypertension guidelines only refer to 24-hr ABPM [77], as does the UK NICE Hypertension guideline [78]. Therefore, for most clinicians, 24-hr ABPM remains the clinical standard of care for ambulatory BP assessment and the data shown in this paper should be of practical value. However, clinicians should be aware that 48-hr ABPM may give additional valuable information and is an important option for investigation.

Other limitations to this study include: i) this study was performed in a clinical setting, rather than a research setting, unlike the majority of previously published work in this area. Therefore, BpTRU readings were always carried out following the routine clinic BP measurements; ii) previous studies have taken routine clinic BP measurements and BpTRU measurements in random order; this is clearly a more accurate way to compare the two techniques, and iii) routine clinic BP measurements were not consistently carried out following a five-minute rest period, unlike those reported in the literature. In a busy outpatient setting, some patients had their routine clinic BP measured as soon as they arrived at clinic; others had their routine clinic BP measured after sitting in the waiting room for a variable amount of time. This lack of control over the technique used for the routine clinic BP measurements may be responsible for some of the difference observed between these readings and the subsequent BpTRU readings. It is also important to emphasise that data from a single study carried out in one setting may not be applicable to other settings. However, in previous studies, where routine clinic BP measurements were carried out in a more controlled manner, average BpTRU readings were also significantly lower than routine clinic readings, suggesting that the data we present are broadly consistent with previous findings and also confirming that previous work carried out in a research setting may be applicable to routine clinical practice.

Conclusions

In conclusion, our study demonstrates that routine clinic BP measurements are significantly higher than measurements using a BpTRU machine in a quiet room, and there is no significant detectable difference between BpTRU readings and the day-time mean of 24 hour ABPM in patients with CKD. Adjusting clinic protocols to utilise the most accurate BP device available is a simple manoeuvre that could deliver major improvements in clinical practice.

References

  1. Coresh J, Astor BC, Greene T, Eknoyan G, Levey AS: Prevalence of chronic kidney disease and decreased kidney function in the adult US population: Third National Health and Nutrition Examination Survey. Am J Kidney Dis. 2003, 41: 1-12.

    Article  PubMed  Google Scholar 

  2. Gansevoort RT, Matsushita K, van der Velde M, Astor BC, Woodward M, Levey AS, de Jong PE, Coresh J, the Chronic Kidney Disease Prognosis Consortium: Lower estimated GFR and higher albuminuria are associated with adverse kidney outcomes: A collaborative meta-analysis of general and high-risk population cohorts. Kidney Int. 2011, 80: 93-104. 10.1038/ki.2010.531.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  3. Levey AS, de Jong PE, Coresh J, El Nahas M, Astor BC, Matsushita K, Gansevoort RT, Kasiske BL, Eckardt K-U: The definition, classification, and prognosis of chronic kidney disease: a KDIGO Controversies Conference report. Kidney Int. 2011, 80: 17-28. 10.1038/ki.2010.483.

    Article  PubMed  Google Scholar 

  4. Tangri N, Stevens LA, Griffith J, Tighiouart H, Djurdjev O, Naimark D, Levin A, Levey AS: A Predictive Model for Progression of Chronic Kidney Disease to Kidney Failure. JAMA. 2011, 305 (15): 1553-1559. 10.1001/jama.2011.451.

    Article  CAS  PubMed  Google Scholar 

  5. Coresh J, Wei GL, McQuillan G, Brancati FL, Levey AS, Jones C, Klag MJ: Prevalence of high blood pressure and elevated serum creatinine level in the United States: findings from the third National Health and Nutrition Examination Survey (1988–1994). Arch Intern Med. 2001, 161: 1207-1216. 10.1001/archinte.161.9.1207.

    Article  CAS  PubMed  Google Scholar 

  6. Sarafidis PA, Li S, Chen SC, Collins AJ, Brown WW, Klag MJ, Bakris GL: Hypertension awareness, treatment, and control in chronic kidney disease. Am J Med. 2008, 121: 332-340. 10.1016/j.amjmed.2007.11.025.

    Article  PubMed  Google Scholar 

  7. Klahr S, Levey AS, Beck GJ, Caggiula AW, Hunsicker L, Kusek JW, Striker G: The effects of dietary protein restriction and blood pressure control on the progression of chronic renal disease. N Engl J Med. 1994, 330: 877-884. 10.1056/NEJM199403313301301.

    Article  CAS  PubMed  Google Scholar 

  8. Jacobsen P, Rossing K, Tarnow L, Rossing P, Mallet C, Poirier O, Cambien F, Parving HH: Progression of diabetic nephropathy in normotensive type 1 diabetic patients. Kidney Int. 1999, 56 (Suppl 71): 101-105.

    Article  Google Scholar 

  9. Ravera M, Re M, Deferrari L, Vettoretti S, Deferrari G: Importance of blood pressure control in chronic kidney disease. J Am Soc Nephrol. 2006, 17 (Suppl 2): 98-103.

    Article  Google Scholar 

  10. National Institute for Health and Clinical Excellence (NICE) clinical guideline 73: Chronic kidney disease: Early identification and management of chronic kidney disease in adults in primary and secondary care. 2008

    Google Scholar 

  11. Reeves RA: Does this patient have hypertension? How to measure blood pressure. JAMA. 1995, 273: 1211-1218. 10.1001/jama.1995.03520390071036.

    Article  CAS  PubMed  Google Scholar 

  12. Birkett NJ: The effect of alternative criteria for hypertension on estimates of prevalence and control. J Hypertens. 1997, 15: 237-244. 10.1097/00004872-199715030-00004.

    Article  CAS  PubMed  Google Scholar 

  13. McAlister FA, Straus SE: Evidence based treatment of hypertension. Measurement of blood pressure: an evidence based review. BMJ. 2001, 322 (7291): 908-911. 10.1136/bmj.322.7291.908.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  14. Pickering TG: Blood pressure measurement and detection of hypertension. Lancet. 1994, 344 (8914): 31-35. 10.1016/S0140-6736(94)91053-7.

    Article  CAS  PubMed  Google Scholar 

  15. Agarwal R, Anderson MJ: Prognostic importance of clinic and home blood pressure recordings in patients with chronic kidney disease. Kidney Int. 2006, 69: 406-411. 10.1038/sj.ki.5000081.

    Article  CAS  PubMed  Google Scholar 

  16. Staessen JA, Byttebier G, Buntinx F, Celis H, O’Brien ET, Fagard R: Antihypertensive treatment based on conventional or ambulatory blood pressure measurement: a randomized controlled trial. JAMA. 1997, 278: 1065-1072. 10.1001/jama.1997.03550130039034.

    Article  CAS  PubMed  Google Scholar 

  17. Pickering TG, Davidson K, Gerin W, Schwartz JE: Masked hypertension. Hypertension. 2002, 40: 795-796. 10.1161/01.HYP.0000038733.08436.98.

    Article  CAS  PubMed  Google Scholar 

  18. Lorgelly P, Siatis I, Brooks A, Slinn B, Millar-Craig MW, Donnelly R, Manning G: Is ambulatory blood pressure monitoring cost-effective in the routine surveillance of treated hypertensive patients in primary care?. Br J Gen Pract. 2003, 53 (495): 794-796.

    PubMed  PubMed Central  Google Scholar 

  19. Andersen MJ, Khawandi W, Agarwal R: Home blood pressure monitoring in CKD. Am J Kidney Dis. 2005, 45: 994-1001. 10.1053/j.ajkd.2005.02.015.

    Article  PubMed  Google Scholar 

  20. Bangash F, Agarwal R: Masked hypertension and white-coat hypertension in chronic kidney disease: a meta-analysis. Clin J Am Soc Nephrol. 2009, 4 (3): 656-664. 10.2215/CJN.05391008.

    Article  PubMed  PubMed Central  Google Scholar 

  21. Silverberg DS, Shemesh E, Iaina A: The unsupported arm: a cause of falsely raised blood pressure readings. BMJ. 1977, 2: 1331-

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  22. Linfors EW, Feussner JR, Blessing CL, Starmer CF, Neelon FA, McKee PA: Spurious hypertension in the obese patient. Effect of sphygmomanometer cuff size on prevalence of hypertension. Arch Intern Med. 1984, 144: 1482-1485. 10.1001/archinte.1984.00350190188032.

    Article  CAS  PubMed  Google Scholar 

  23. Cushman WC, Cooper KM, Horne RA, Meydrech EF: Effect of back support and stethoscope head position on seated blood pressure determinations. Am J Hypertens. 1990, 3: 240-241.

    CAS  PubMed  Google Scholar 

  24. Veerman DP, Van Montfrans GA, Wieling W: Effects of cuff inflation on self-recorded blood pressure. Lancet. 1990, 335: 451-453. 10.1016/0140-6736(90)90676-V.

    Article  CAS  PubMed  Google Scholar 

  25. Graves JW, Nash C, Burger K, Bailey K, Sheps SG: Clinical decision-making in hypertension using an automated (BpTRU) measurement device. J Hum Hypertens. 2003, 17 (12): 823-827. 10.1038/sj.jhh.1001626.

    Article  CAS  PubMed  Google Scholar 

  26. Wright JM, Mattu GS, Perry TL, Gelfer ME, Strange KD, Zorn A, Chen Y: Validation of new algorithm for the BPM-100 electronic oscillometric office blood pressure monitor. Blood Press Monit. 2001, 6: 161-165. 10.1097/00126097-200106000-00008.

    Article  CAS  PubMed  Google Scholar 

  27. White WG, Anwar YA: Evaluation of the overall efficacy of the Omron office digital blood pressure HEM-907 monitor in adults. Blood Press Monit. 2001, 6: 107-110. 10.1097/00126097-200104000-00007.

    Article  CAS  PubMed  Google Scholar 

  28. Stergiou GS, Tzamouranis D, Protogerou A, Nasothimiou E, Kapralos C: Validation of Microlife Watch BP Office Professional device for office blood pressure measurement according to the international protocol. Blood Press Monit. 2008, 13: 299-303. 10.1097/MBP.0b013e3283057af6.

    Article  PubMed  Google Scholar 

  29. Beckett L, Godwin M: The BpTRU automatic blood pressure monitor compared to 24-h ambulatory blood pressure monitoring in the assessment of blood pressure in patients with hypertension. BMC Cardiovasc Disord. 2005, 5: 18-10.1186/1471-2261-5-18.

    Article  PubMed  PubMed Central  Google Scholar 

  30. Lovibond K, Jowett S, Barton P, Caulfield M, Heneghan C, Hobbs FDR, Hodgkinson J, Mant J, Martin U, Williams B, Wonderling D, McManus RJ: Cost-effectiveness of options for the diagnosis of high blood pressure in primary care: a modelling study. Lancet. 2011, 378: 1219-1230. 10.1016/S0140-6736(11)61184-7.

    Article  PubMed  Google Scholar 

  31. Agarwal R, Andersen MJ: Correlates of systolic hypertension in patients with chronic kidney disease. Hypertension. 2005, 46: 514-520. 10.1161/01.HYP.0000178102.85718.66.

    Article  CAS  PubMed  Google Scholar 

  32. Agarwal R, Peixoto AJ, Santos SFF, Zoccali C: Out-of-office blood pressure monitoring in chronic kidney disease. Blood Press Monit. 2009, 14: 2-11. 10.1097/MBP.0b013e3283262f58.

    Article  PubMed  Google Scholar 

  33. Davidson MB, Hix JK, Vidt DG, Brotman DJ: Association of impaired diurnal blood pressure variation with a subsequent decline in glomerular filtration rate. Arch Intern Med. 2006, 166: 846-852. 10.1001/archinte.166.8.846.

    Article  PubMed  Google Scholar 

  34. Pogue V, Rahman M, Lipkowitz M, Toto R, Miller E, Faulkner M, Rostand S, Hiremath L, Sika M, Kendrick C, Hu B, Greene T, Appel L, Phillips RA: African American study of kidney disease and hypertension collaborative research group: disparate estimates of hypertension control from ambulatory and clinic blood pressure measurements in hypertensive kidney disease. Hypertension. 2009, 53: 20-27. 10.1161/HYPERTENSIONAHA.108.115154.

    Article  CAS  PubMed  Google Scholar 

  35. Mojón A, Ayala DE, Piñeiro L, Otero A, Crespo JJ, Moyá A, Bóveda J, Pérez de Lis J, Fernández JR, Hermida RC: Comparison of Ambulatory Blood Pressure Parameters of Hypertensive Patients With and Without Chronic Kidney Disease. Chronobiol Int. 2013, 30 (1–2): 145-158.

    Article  PubMed  Google Scholar 

  36. Hermida RC, Ayala DE, Mojón A, Fernández JR: Bedtime dosing of antihypertensive medications reduces cardiovascular risk in CKD. J Am Soc Nephrol. 2011, 22: 2313-2321. 10.1681/ASN.2011040361.

    Article  PubMed  PubMed Central  Google Scholar 

  37. Liu M, Takahashi H, Morita Y: Non-dipping is a potent predictor of cardiovascular mortality and is associated with autonomic dysfunction in haemodialysis patients. Nephrol Dial Transplant. 2003, 18: 563-569. 10.1093/ndt/18.3.563.

    Article  PubMed  Google Scholar 

  38. Minutolo R, Agarwal R, Borrelli S, Chiodini P, Bellizzi V, Nappi F, Cianciaruso B, Zamboni P, Conte G, Gabbai FB, De Nicola L: Prognostic role of ambulatory blood pressure measurement in patients with nondialysis chronic kidney disease. Arch Intern Med. 2011, 171: 1090-1098. 10.1001/archinternmed.2011.230.

    Article  PubMed  Google Scholar 

  39. Tripepi G, Fagugli RM, Dattolo P, Parlongo G, Mallamaci F, Buoncristiani U, Zoccali C: Prognostic value of 24-hour ambulatory blood pressure monitoring and of night/day ratio in nondiabetic, cardiovascular events-free hemodialysis patients. Kidney Int. 2005, 68: 1294-1302. 10.1111/j.1523-1755.2005.00527.x.

    Article  PubMed  Google Scholar 

  40. Crespo JJ, Piñeiro L, Otero A, Castiñeira C, Ríos MT, Regueiro A, Mojón A, Lorenzo S, Ayala DE, Hermida RC: Administration-time-dependent effects of hypertension treatment on ambulatory blood pressure in patients with chronic kidney disease. Chronobiol Int. 2013, 30 (1–2): 159-175.

    Article  CAS  PubMed  Google Scholar 

  41. Boggia J, Li Y, Thijs L, Hansen TW, Kikuya M, Björklund-Bodegård K, Richart T, Ohkubo T, Kuznetsova T, Torp-Pedersen CH, Lind L, Ibsen H, Imai Y, Wang J, Sandoya E, O’Brien E, Staessen JA: Prognostic accuracy of day versus night ambulatory blood pressure: a cohort study. Lancet. 2007, 370: 1219-1229. 10.1016/S0140-6736(07)61538-4.

    Article  PubMed  Google Scholar 

  42. Brotman DJ, Davidson MB, Boumitri M, Vidt DG: Impaired diurnal blood pressure variation and all-cause mortality. Am J Hypertens. 2008, 21: 92-97. 10.1038/ajh.2007.7.

    Article  PubMed  Google Scholar 

  43. Dolan E, Stanton A, Thijs L, Hinedi K, Atkins N, McClory S, Den Hond E, McCormack P, Staessen JA, O’Brien E: Superiority of ambulatory over clinic blood pressure measurement in predicting mortality: the Dublin outcome study. Hypertension. 2005, 46: 156-161. 10.1161/01.HYP.0000170138.56903.7a.

    Article  CAS  PubMed  Google Scholar 

  44. Eguchi K, Pickering TG, Hoshide S, Ishikawa J, Ishikawa S, Schwartz J, Shimada K, Kario K: Ambulatory blood pressure is a better marker than clinic blood pressure in predicting cardiovascular events in patients with/without type 2 diabetes. Am J Hypertens. 2008, 21: 443-450. 10.1038/ajh.2008.4.

    Article  PubMed  Google Scholar 

  45. Hermida RC, Ayala DE, Mojón A, Fernández JR: Sleep-time blood pressure as a therapeutic target for cardiovascular risk reduction in type 2 diabetes. Am J Hypertens. 2012, 25: 325-334. 10.1038/ajh.2011.231.

    Article  PubMed  Google Scholar 

  46. Hermida RC, Ayala DE, Fernández JR, Mojón A: Sleep-time blood pressure: prognostic value and relevance as a therapeutic target for cardiovascular risk reduction. Chronobiol Int. 2013, 30: 68-86. 10.3109/07420528.2012.702581.

    Article  PubMed  Google Scholar 

  47. Hermida RC, Ayala DE, Mojón A, Fernández JR: Blunted sleep-time relative blood pressure decline increases cardiovascular risk independent of blood pressure level—the “normotensive nondipper” paradox. Chronobiol Int. 2013, 30: 87-98. 10.3109/07420528.2012.701127.

    Article  PubMed  Google Scholar 

  48. Nakano S, Fukuda M, Hotta F, Ito T, Ishii T, Kitazawa M, Nishizawa M, Kigoshi T, Uchida K: Reversed circadian blood pressure rhythm is associated with occurrences of both fatal and nonfatal events in NIDDM subjects. Diabetes. 1998, 47: 1501-1506. 10.2337/diabetes.47.9.1501.

    Article  CAS  PubMed  Google Scholar 

  49. Ohkubo T, Hozawa A, Yamaguchi J, Kikuya M, Ohmori K, Michimata M, Matsubara M, Hashimoto J, Hoshi H, Araki T, Tsuji I, Satoh H, Hisamichi S, Imai Y: Prognostic significance of the nocturnal decline in blood pressure in individuals with and without high 24-h blood pressure: the Ohasama study. J Hypertens. 2002, 20: 2183-2189. 10.1097/00004872-200211000-00017.

    Article  CAS  PubMed  Google Scholar 

  50. Sturrock ND, George E, Pound N, Stevenson J, Peck GM, Sowter H: Non-dipping circadian blood pressure and renal impairment are associated with increased mortality in diabetes mellitus. Diabet Med. 2000, 17: 360-364. 10.1046/j.1464-5491.2000.00284.x.

    Article  CAS  PubMed  Google Scholar 

  51. Verdecchia P, Porcellati C, Schillaci G, Borgioni C, Ciucci A, Battistell M, Guerrieri M, Gatteschi C, Zampi I, Santucci A, Santucci C, Reboldi G: Ambulatory blood pressure: an independent predictor of prognosis in essential hypertension. Hypertension. 1994, 24: 793-801. 10.1161/01.HYP.24.6.793.

    Article  CAS  PubMed  Google Scholar 

  52. Little P, Barnett J, Barnsley L, Marjoram J, Fitzgerald-Barron A, Mant D: Comparison of acceptability and preferences for different methods of measuring blood pressure in primary care. BMJ. 2002, 325: 258-259. 10.1136/bmj.325.7358.258.

    Article  PubMed  PubMed Central  Google Scholar 

  53. Myers MG, Valdivieso M, Chessman M, Kiss A: Can sphygmomanometers designed for self-measurement of blood pressure in the home be used in office practice?. Blood Press Monit. 2010, 15 (6): 300-304. 10.1097/MBP.0b013e328340d128.

    Article  PubMed  Google Scholar 

  54. Godwin M, Birtwhistle R, Delva D, Lam M, Casson I, MacDonald S, Seguin R: Manual and automated office measurements in relation to awake ambulatory blood pressure monitoring. Fam Pract. 2011, 28: 110-117. 10.1093/fampra/cmq067.

    Article  PubMed  Google Scholar 

  55. Myers MG, Godwin M, Dawes M, Kiss A, Tobe SW, Grant FC, Kaczorowski J: Conventional versus automated measurement of blood pressure in primary care patients with systolic hypertension: randomised parallel design controlled trial. BMJ. 2011, 342: d286-10.1136/bmj.d286.

    Article  PubMed  PubMed Central  Google Scholar 

  56. O’Shaughnessy MM, Newman CA, Kinsella SM, Reddan DN, Lappin DW: In-office assessment of blood pressure in chronic kidney disease: usual measurement versus automated BpTRU measurement. Blood Press Monit. 2011, 16 (3): 124-128. 10.1097/MBP.0b013e328346e0db.

    Article  PubMed  Google Scholar 

  57. Ni K, Wu C, Prineas R, Shea S, Liu K, Kronmal R, Bild D: Comparison of Dinamap Pro-100 and mercury sphygmomanometer blood pressure measurements in a population based study. Am J Hypertension. 2006, 19: 353-360. 10.1016/j.amjhyper.2005.10.020.

    Article  Google Scholar 

  58. Myers MG, Valdivieso M, Kiss A: Optimum frequency of office blood pressure measurement using an automated sphygmomanometer. Blood Press Monit. 2008, 13 (6): 333-338. 10.1097/MBP.0b013e3283104247.

    Article  PubMed  Google Scholar 

  59. O’Brien E, Asmar R, Beilin L, Imai Y, Mallion JM, Mancia G, Mengden T, Myers M, Padfield P, Palatini P, Parati G, Pickering T, Redon J, Staessen J, Stergiou G, Verdecchia P, the European Society of Hypertension Working Group on Blood Pressure Monitoring: European Society of Hypertension recommendations for conventional, ambulatory and home blood pressure measurement. J Hypertension. 2003, 21: 821-848. 10.1097/00004872-200305000-00001.

    Article  Google Scholar 

  60. Myers MG, McInnis NH, Fodor GJ, Leenen FH: Comparison between an automated and manual sphygmomanometer in a population survey. Am J Hypertens. 2008, 21 (3): 280-283. 10.1038/ajh.2007.54.

    Article  PubMed  Google Scholar 

  61. Myers MG: Automated blood pressure measurement in routine clinical practice. Blood Press Monit. 2006, 11: 59-62. 10.1097/01.mbp.0000200481.64787.c0.

    Article  PubMed  Google Scholar 

  62. Hermida RC, Smolensky MH: Chronotherapy of hypertension. Curr Opin Nephrol Hypertens. 2004, 13: 501-505. 10.1097/00041552-200409000-00004.

    Article  PubMed  Google Scholar 

  63. Hermida RC, Ayala DE, Calvo C: Administration time-dependent effects of antihypertensive treatment on the circadian pattern of blood pressure. Curr Opin Nephrol Hypertens. 2005, 14: 453-459. 10.1097/01.mnh.0000174144.07174.74.

    Article  CAS  PubMed  Google Scholar 

  64. Hermida RC, Ayala DE, Calvo C, Portaluppi F, Smolensky MH: Chronotherapy of hypertension: administration-time dependent effects of treatment on the circadian pattern of blood pressure. Adv Drug Deliv Rev. 2007, 59: 923-939. 10.1016/j.addr.2006.09.021.

    Article  CAS  PubMed  Google Scholar 

  65. Hermida RC, Ayala DE, Fontao MJ, Mojón A, Fernández JR: Chronotherapy with valsartan/amlodipine combination in essential hypertension: improved blood pressure control with bedtime dosing. Chronobiol Int. 2010, 27: 1287-1303. 10.3109/07420528.2010.489167.

    Article  CAS  PubMed  Google Scholar 

  66. Hermida RC, Ayala DE, Fernández JR, Portaluppi F, Fabbian F, Smolensky MH: Circadian rhythms in blood pressure regulation and optimization of hypertension treatment with ACE inhibitor and ARB medications. Am J Hypertens. 2011, 24: 383-391. 10.1038/ajh.2010.217.

    Article  CAS  PubMed  Google Scholar 

  67. Hermida RC, Ayala DE, Mojón A, Fontao MJ, Fernández JR: Chronotherapy with valsartan/hydrochlorothiazide combination in essential hypertension: improved sleep-time blood pressure control with bedtime dosing. Chronobiol Int. 2011, 28: 601-610. 10.3109/07420528.2011.589935.

    Article  CAS  PubMed  Google Scholar 

  68. Hermida RC, Ayala DE, Fernández JR, Mojón A, Smolensky MH, Fabbian F, Portaluppi F: Administration-time differences in effects of hypertension medications on ambulatory blood pressure regulation. Chronobiol Int. 2013, 30: 280-314. 10.3109/07420528.2012.709448.

    Article  CAS  PubMed  Google Scholar 

  69. Hermida RC, Ayala DE, Mojón A, Fernández JR: Cardiovascular risk of essential hypertension: influence of class, number, and treatment-time regimen of hypertension medications. Chronobiol Int. 2013, 30: 315-327. 10.3109/07420528.2012.701534.

    Article  PubMed  Google Scholar 

  70. Portaluppi F, Smolensky MH: Perspectives on the chronotherapy of hypertension based on the results of the MAPEC study. Chronobiol Int. 2010, 27: 1652-1667. 10.3109/07420528.2010.510788.

    Article  CAS  PubMed  Google Scholar 

  71. Smolensky MH, Hermida RC, Ayala DE, Tiseo R, Portaluppi F: Administration-time-dependent effect of blood pressure-lowering medications: basis for the chronotherapy of hypertension. Blood Press Monit. 2010, 15: 173-180. 10.1097/MBP.0b013e32833c7308.

    Article  PubMed  Google Scholar 

  72. Ayala DE, Hermida RC, Mojón A, Fernández JR: Cardiovascular risk of resistant hypertension: dependence on treatment-time regimen of blood pressure-lowering medications. Chronobiol Int. 2013, 30: 340-352. 10.3109/07420528.2012.701455.

    Article  CAS  PubMed  Google Scholar 

  73. Hermida RC, Ayala DE, Mojón A, Fernández JR: Influence of circadian time of hypertension treatment on cardiovascular risk: results of the MAPEC study. Chronobiol Int. 2010, 27: 1629-1651. 10.3109/07420528.2010.510230.

    Article  PubMed  Google Scholar 

  74. Hermida RC, Ayala DE, Mojón A, Fernández JR: Decreasing sleep-time blood pressure determined by ambulatory monitoring reduces cardiovascular risk. J Am Coll Cardiol. 2011, 58: 1165-1173. 10.1016/j.jacc.2011.04.043.

    Article  CAS  PubMed  Google Scholar 

  75. Hermida RC, Ayala DE, Mojón A, Fernández JR: Influence of time of day of blood pressure lowering treatment on cardiovascular risk in hypertensive patients with type 2 diabetes. Diabetes Care. 2011, 34: 1270-1276. 10.2337/dc11-0297.

    Article  PubMed  PubMed Central  Google Scholar 

  76. Hermida RC, Smolensky MH, Ayala DE, Portaluppi F, Crespo JJ, Fabbian F, Haus E, Manfredini R, Mojón A, Moyá A, Piñeiro L, Ríos MT, Otero A, Balan H, Fernández JR: 2013 Ambulatory blood pressure monitoring recommendations for the diagnosis of adult hypertension, assessment of cardiovascular and other hypertension-associated risk, and attainment of therapeutic goals. Chronobiology Int. 2013, 30 (3): 355-410. 10.3109/07420528.2013.750490.

    Article  CAS  Google Scholar 

  77. The Task Force for the management of arterial hypertension of the European Society of Hypertension (ESH) and of the European Society of Cardiology (ESC): 2013 ESH/ ESC Guidelines for the management of arterial hypertension. Eur Heart J. 2013, 10.1093/eurheartj/eht151

    Google Scholar 

  78. National Institute for Health and Clinical Excellence (NICE) clinical guideline 127: Clinical management of primary hypertension in adults. 2011

    Google Scholar 

Pre-publication history

Download references

Acknowledgements

The authors gratefully acknowledge the support of the staff in both the nephrology outpatient department and the Trust Research and Development department at University Hospital Birmingham. We would also like to thank the Sir Arthur Thomson Charitable Trust for the Vacation Studentship (awarded to SB), which funded part of this study.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Paul Cockwell.

Additional information

Competing interests

The authors declare that they have no competing interests.

Authors’ contributions

SB contributed to the design and co-ordination of the study; undertook data collection and statistical analysis and drafted the manuscript. MD helped co-ordinate the study and reviewed the manuscript. CF critically reviewed the draft manuscript. PC and SS contributed to the conception and design of the study and helped to draft the manuscript. All authors read and approved the final manuscript.

Authors’ original submitted files for images

Rights and permissions

Open Access This article is published under license to BioMed Central Ltd. This is an Open Access article is distributed under the terms of the Creative Commons Attribution License ( https://creativecommons.org/licenses/by/2.0 ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Reprints and permissions

About this article

Cite this article

Brothwell, S., Dutton, M., Ferro, C. et al. Optimising the accuracy of blood pressure monitoring in chronic kidney disease: the utility of BpTRU. BMC Nephrol 14, 218 (2013). https://doi.org/10.1186/1471-2369-14-218

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/1471-2369-14-218

Keywords