In 1733, Stephen Hales was the first individual to measure blood pressure (BP) levels by inserting a glass tube into an artery of a horse1. Importantly, he also noted that the blood “would rise and fall at and after each pulse by 2, 3 or 4 inches”1, an observation that has since largely been overlooked. This observation not only signifies the pulsatility of blood flow, but also indicates the variable nature of BP levels. Over the past centuries, substantial efforts have been made to develop non-invasive devices that could accurately measure BP levels in humans (Fig. 1), leading to the development of methods that capture a single snapshot BP reading. From the first landmark 1967 Veterans Administration Cooperative Study2 to the 2021 SPRINT trial3, all outcome trials in hypertension have used the average of snapshot BP levels to demonstrate the efficacy of antihypertensive drug therapy in reducing cardiovascular events. As such, the variable nature of BP levels that was first demonstrated by Hales more than 200 years ago has largely been ignored1.

Fig. 1: History of blood pressure assessment and technology development.
figure 1

a | The timeline depicts the key milestones in the history of blood pressure (BP) measurement, beginning with the first recorded measurement of BP levels, performed in a horse in 1733. b | The number of registered patents with the words ‘blood pressure’ in their title has risen steadily since 1897. The data for the graph were extracted from ABPM, ambulatory blood pressure monitoring; HBPM, home blood pressure monitoring.

At present, office BP measurement is arguably the most common procedure in medical practice. However, the intrinsic dynamic nature of BP remains underappreciated. On a beat-to-beat basis, BP levels can vary markedly (from –24 mmHg to 33 mmHg) in response to usual extrinsic and behavioural factors4 (Table 1). The degree of BP variability (BPV) also differs between individuals in the short term and long term. Therefore, BP levels are different from all other components of absolute cardiovascular risk calculation such as age, sex, smoking status and cholesterol levels, which are all constant or stable. In an attempt to overcome the variability in BP readings, a standardized office BP measurement procedure is recommended by numerous guidelines5,6, which systematically addresses factors that contribute to BP fluctuations.

Table 1 Factors that influence office systolic BP readings

In clinical practice, BP values with a large deviation from the average are usually regarded as being outliers or noise7. Furthermore, an elevated BP reading usually prompts a repeat measurement, with the lower value often used for decision-making and the higher reading disregarded. An average of several office and out-of-office BP measurements is used to diagnose and manage hypertension. However, the presence of BPV complicates this process. Accumulating evidence has highlighted the clinical relevance of BPV, beyond the effect of average BP levels on cardiovascular and mortality outcomes8, but the practical implications of BPV remain uncertain. The question remains: what is the clinical relevance of BPV as an add-on to average BP? The highly variable nature of BP has been widely acknowledged; however, to date, BPV is largely ignored in clinical practice. In this Review, we aim to increase awareness of BPV, not as a vital sign, but as an additional measure to quantify the long-term effect of variable BP levels on the risk of cardiovascular disease. We also outline both conventional and novel techniques to assess ‘average’ BP levels and BPV, and comment on the utility and potential of these methods to improve medical practice. Novel cuffless wearable technologies have been developed to overcome the downsides of office BP measurements, such as the artificial and standardized medical setting, and the limited number of BP readings. These technologies can provide a detailed assessment of BP levels over 24 h and for weeks or months. However, the utility and reliability of such technologies, and whether they offer useful additional information on BPV for clinical practice, remain to be seen.

The clinical relevance of ‘average’ BP levels

Raised BP levels affect more than 1 billion people globally and constitute the leading modifiable risk factor for preventable death9. Thousands of patents involving BP measurement are registered each year (Fig. 1). In this section, we describe the most commonly used method to capture office BP levels and how the snapshot BP readings obtained from this method form the basis of classification, diagnostic and treatment thresholds for hypertension.

The gold standard technique

The Riva–Rocci–Korotkoff auscultatory method, which incorporates a cuff sphygmomanometer to assess brachial arterial BP level, was the result of refinement of the crude method used by Hales1 and has been employed in medical practice for more than 100 years (Fig. 1). Over time, BP thresholds, treatment targets and therapies have changed, but this technique (nowadays incorporated into automatic oscillometric devices with a brachial cuff) remains the dominant BP assessment method and its data form the basis of recommendations by the WHO10 and clinical hypertension guidelines5,6,11,12.

To date, all major outcome clinical trials that evaluate the efficacy of pharmacotherapy in reducing BP levels have measured office BP levels using the upper-arm-cuff method13. The pharmacological treatment of hypertension has been hailed as arguably the most evidence-based and cost-effective medical intervention, with clear benefits of reduced morbidity and mortality14. These conclusions were made using data obtained from the standardized measurement of BP levels in the office (which involves three subsequent readings per visit taken according to a standard procedure and using the average of the last two or all three for decision-making6), demonstrating that despite the many caveats of this technique, it has considerable prognostic value for cardiovascular outcomes. Although this standard technique seems simple, in reality, many consequential steps are required to produce a reliable and reproducible result15. Indeed, clinicians and other health practitioners often deviate from this technique in clinical practice, prompting continued publications of practice guidelines6 and position statements15,16. The implications of inaccurate testing are dire, as a 5 mmHg difference in systolic BP would correspond to an incorrect classification of hypertension status in 84 million individuals worldwide15.

Classification, diagnostic and treatment thresholds

Given that most major BP clinical trials obtain data predominantly from conventional office BP measurements, this method remains the only approach to classify BP (as normal, high-normal or hypertension grade 1–3) and to determine the thresholds and targets for treatment. In most countries and clinical settings, in-office BP measurement is the only method used to obtain BP readings owing to its affordability and wide availability, and is likely to remain the most common method for several decades to come.

In addition to the ‘snapshot’ nature of office BP readings, which does not take into account any fluctuations in BP levels, office BP measurements have numerous caveats. The devices used for office BP measurements have mostly not been validated for accuracy (STRIDE BP). A detailed evaluation of home BP monitoring (HBPM) devices available online in Australia reported that only 18.3% of upper-arm-cuff devices have been validated for accuracy, and that validated cuff BP devices are more expensive than non-validated devices17. To date, no regulatory requirements exist for independent validation of all BP devices that are put on the market (using the universally accepted International Organization for Standardization (ISO) standard), despite increasing calls to mandate validation of these devices16.

The limitations of office BP measurements were recognized as far back as 1940 (ref.18) (Fig. 1). Ayman and Goldshire18 reported that BP levels measured at home were consistently lower than BP levels measured in the office. Indeed, office BP levels are now well-known to be subject to the ‘white-coat effect’. Approximately 15–25% of treated or untreated individuals with hypertension who attend BP clinics have white-coat hypertension (elevated office BP levels but normal out-of-office BP levels)6. Although the white-coat effect can be gradually minimized with standardized measurements over repeated visits, the phenomenon remains present and pronounced in many individuals19. Office BP assessment also misses masked hypertension (defined as normal BP levels in the office but elevated BP levels outside of the office), a condition present in 10–20% of individuals attending BP clinics20. Collectively, the challenge is that office BP assessment is a crude measurement and when used in isolation might often result in an incorrect or a missed diagnosis of hypertension. Furthermore, given that office BP assessment cannot capture variability in BP levels, a substantial risk of cardiovascular disease might be missed in many individuals.

BP snapshots versus BP profile

As mentioned above, a major limitation of only assessing a snapshot BP reading is that such measurements completely disregard the dynamic fluctuations in BP levels (Fig. 2). These variations can be caused by ambient (seasonal) temperature change or an acutely stressful experience5. Acute BP responses to physical or mental stress are known to vary substantially between individuals, with exaggerated cardiovascular reactions associated with less favourable cardiovascular risk status21.

Fig. 2: Short-term and long-term blood pressure variability.
figure 2

Blood pressure (BP) patterns are evident across both the short term and the long term, with overall higher BP levels in colder versus warmer months, in daytime versus the night-time and during exposure to acutely stressful events. The different ranges of BP variability are presented in two individuals (with BP readings shown as red and blue circles) over seconds, hours and months.

Across a 24 h period, different diurnal BP profiles, including a nocturnal non-dipping BP pattern22, extreme nocturnal dipping in selected individuals23, an exaggerated morning BP surge24 or maximal systolic BP levels25, can predict an increased risk of adverse cardiovascular outcomes. These disrupted diurnal profiles seem to provide independent prognostic information beyond that of average BP levels. Although such variations and peaks in BP level might be regarded as acute or short-term, some individuals show larger fluctuations in BP level over time than others, while maintaining a similar overall average BP level (Fig. 3). The concept of cumulative BP or BP load, defined as the percentage of abnormally elevated BP readings over a period of time, although not identical to BPV, also illustrates how frequent elevations in BP levels are linked with increased cardiovascular risk26. Mounting evidence, including data from the CARDIA study27 and the ARIC cohort28, indicates that individuals with high cumulative systolic BP levels over many years have worse cardiac function and increased risk of incident heart failure in later life compared with individuals with lower cumulative systolic BP levels. Furthermore, patients treated for hypertension show marked differences in the degree of BP level fluctuation29. Very few of the patients newly diagnosed with hypertension can maintain target BP levels for a complete year29. Individuals who remained at target BP levels for a higher proportion of time seemed to have a lower risk of incident cardiovascular diseases, which was independent of the widely used office BP ‘control’ indicators29. This finding was confirmed in the SPRINT trial30, which demonstrated that the time spent within target BP levels was significantly associated with a decreased risk of major adverse cardiovascular events, independent of average systolic BP levels.

Fig. 3: The concept of time at target blood pressure levels.
figure 3

As blood pressure (BP) levels increase with age, the systolic BP of two individuals (depicted by the red and blue lines) might present similar average levels (black line), but owing to a greater BP load, the individual with the BP depicted by the red line will have a greater risk of cardiovascular disease over their lifetime. Adapted with permission from ref.26, Wolters Kluwer.

The question remains — how will the prognostic information provided by BPV data, which are independent of average BP readings, contribute to the improvement of the strategies for managing hypertension in clinical practice? Despite the obvious association between BPV and clinical outcomes, the most recent clinical practice guidelines for office and out-of-office BP measurement provide thresholds only for hypertension that is diagnosed with the use of an average calculation of the second and third office BP readings, an average of 24 h ambulatory BP monitoring (ABPM) readings or an average of HBPM readings taken for multiple days (at least 3 days with at least 12 readings)6. Ironically, all these approaches specifically aim to even out the fluctuations in BP levels. Therefore, although these guidelines acknowledge the evidence supporting the prognostic value of BPV, this knowledge has not yet been applied in clinical practice6.

Classic and novel BP monitoring methods

Both BP levels and BPV are linked to the arterial site at which the BP is recorded and the time that the reading is taken31. The quantification of the mechanical stress that BP exerts on a specific segment of the arterial tree can be directly assessed only via insertion of an intra-arterial catheter31, whereas non-invasive measurements using the arm-cuff method can only provide an estimated value. Moreover, systolic BP levels are subject to amplification from the aorta to the periphery, with central (aortic) systolic BP levels being lower than the respective brachial BP levels31. These methodology issues, in addition to the time-sensitive and arterial site-dependent elements of BPV, greatly reduce the accuracy in the assessment of BPV by both classic and novel BP monitoring methods. The currently available techniques allow measurements under standardized and static conditions, as well as during daily activities or even under dynamic conditions, and are associated with several advantages and disadvantages in the measurement of BPV (Fig. 4).

Fig. 4: Advantages and disadvantages of classic and novel blood pressure monitoring methods and capacity to capture blood pressure variability.
figure 4

Blood pressure (BP) monitoring methods enable the assessment of BP during static or dynamic conditions over different time windows, and thus can capture different aspects of BP variability.

Intra-arterial versus non-invasive cuff-based methods

The invasive intra-arterial method provides direct assessment of BP levels and is theoretically the gold standard for measuring BP levels and short-term BPV. Two studies that assessed 24 h intra-arterial BP recordings in patients hospitalized with essential hypertension showed that BPV was related to the rate and severity of target-organ damage and, more importantly, was predictive of disease progression32,33. However, data demonstrating the clinical relevance of BPV assessed by intra-arterial measurements remain scarce. Indeed, such studies can be performed only at a hospital or in a laboratory setting, and mostly in selected patients with conditions that require catheterization. Furthermore, invasive methodologies require technical expertise, are costly and can cause discomfort and potentially serious complications.

At present, a non-invasive upper-arm-cuff BP measurement is the reference method for the diagnosis and management of hypertension, despite not providing the same BP values as the more accurate intra-arterial BP readings34. A meta-analysis of studies that compared intra-arterial BP readings with brachial cuff BP readings showed that the latter underestimated systolic BP levels and overestimated intra-arterial diastolic BP levels (by 5–6 mmHg for each measurement), resulting in considerable underestimation of pulse pressure34. This difference applies not only to manual auscultatory methods, but also to automated oscillometric arm-cuff measurements, given that the latter have been developed to simulate auscultatory methods of BP rather than intra-arterial assessment of BP levels34. Of note, all the evidence on the risks of elevated BP levels and the benefits of therapeutic reduction of BP levels in preventing cardiovascular morbidity and mortality is derived from studies using upper-arm-cuff BP measurements, especially in the office setting. The implication of using only upper-arm-cuff BP measurements in previous studies is that this measurement will be automatically selected as the primary method for any new BP clinical trials to allow comparison of data between trials. In addition, any novel technologies for measuring BP levels will need to be assessed against reference, upper-arm-cuff auscultatory BP measurements.

Central BP levels and variability

From a pathophysiological point of view, central (aortic) BP levels might be a more accurate representation of the haemodynamic stress on target organs than brachial BP levels. Large meta-analyses have shown that central systolic BP levels, compared with their brachial counterpart, are more closely associated with indices of target-organ damage and have independent prognostic value in terms of cardiovascular outcomes35,36. However, the predictive capacity of central systolic BP levels is only marginally but not significantly superior to that of peripheral BP levels35,36. The estimation of central BP is now feasible using commercially available non-invasive devices that enable measurements both in the office and with 24 h ABPM. However, these devices use different principles to record the pressure or surrogate signals (such as applanation tonometry, oscillometry and ultrasonography) and different calibration methods to obtain central BP readings37. Therefore, the BP readings obtained with these devices can be highly heterogeneous depending on the applied methodology. In addition, at present, a standardized validation protocol has not been established for assessing the accuracy of these devices, and thus their accuracy and clinical usefulness remain questionable37. Several studies have reported findings on the clinical relevance of BPV assessed with ambulatory central BP monitoring using the Mobil-O-Graph device. The SAFAR study38,39 showed that in individuals with hypertension, 24 h central systolic BPV had a significant and a slightly stronger association with carotid damage and left ventricular structural and functional abnormalities than brachial BPV. In another study, central and brachial ambulatory BPV were elevated in individuals with hypertension and target-organ damage, but central BPV did not add relevant information beyond that provided by brachial BPV40.

Office BP readings and BPV

Office BP readings are used for assessing long-term, visit-to-visit BPV and the consistency of BP control in patients treated for hypertension41,42. Although more data are available for office BPV in predicting cardiovascular outcomes than for home or ambulatory BPV, the prognostic value of office BPV is dependent on the measurement methodology (for example, the number of visits or the use of standardized protocols) and drug treatment (dosing time and compliance)43. Importantly, office BP levels do not provide insight into the dynamic changes in BPV induced by routine daily activities.

Home BP monitoring and BPV

At-home monitoring of BP levels provides multiple BP readings in the usual environment of an individual and avoids the white-coat and masked hypertension phenomena6. HBPM devices are widely used in many countries, and this method is relatively low cost and well accepted by patients for long-term use6. HBPM is currently recommended as the best method for long-term follow-up of patients who are being treated for hypertension6,12,44. HBPM requires training of the users and should be applied under medical supervision6. Although the importance of using validated devices is widely known, most devices on the market have not been properly validated for accuracy, and inappropriate cuff sizes are often used17,45. In addition, this method also provides only static snapshot measurements and not BP readings of the individual at work or during routine daily activity or sleep. Of note, some novel low-cost HBPM devices can obtain automated BP measurements during sleep6,44.

HBPM devices are mostly used for assessing mid-term BPV (over days) but might also provide information on long-term BPV. HBPM provides a more accurate portrayal of BPV than in-office BP measurement, given that it can provide a much larger number of readings over time. However, both methods obtain BP measurements under restrictive conditions (specifically the setting, body position and protocol used), which buffer and thereby underestimate true BPV41,42.

Ambulatory BP monitoring and BPV

At present, 24 h ABPM is recommended as the best available method for diagnosing hypertension6,12. This method generates numerous objective BP readings over 24 h, including during daily activities and sleep6. As with HBPM measurements, ABPM readings are not influenced by the white-coat effect or masked hypertension. ABPM is the best-studied, non-invasive method for assessing BP fluctuations within a 24 h window, but it only provides a small fraction of the BP readings generated during this time (measurements every 15–30 min). Moreover, the activities of an individual can vary considerably from day to day. Therefore, although the reproducibility of ABPM data is superior to that of office measurements, a single 24 h recording might not be adequate for reliable assessment of average BP levels during the daytime and night-time, the dipping status classification (a non-dipping pattern is defined by a fall in nocturnal BP levels of <10%) and for making diagnoses on the basis of these measures (such as isolated daytime or nocturnal hypertension46,47,48,49).

Importantly, ABPM seems to be the ideal method for evaluating true BPV because it records BP levels during all daily activities, including work and sleep. Moreover, ABPM can be used to evaluate the effect of drug treatment on diurnal BP variation, such as the smoothness index, which reflects the homogeneity and size of BP reduction over the 24 h period, and the trough-to-peak effect ratio, which is an indicator of the duration of the drug-induced, post-dosing, BP-lowering effects within the 24 h period50,51. Despite these advantages, 24 h ambulatory BPV has inconsistent prognostic value, probably owing to the imperfect reproducibility of 24 h ABPM and the variable day-to-day activities of individuals. Monitoring ambulatory BP levels for 48 h and with more frequent readings (every 15 min) might improve the clinical relevance of estimated BPV52,53.

Complementary roles of ABPM and HBPM

Both ABPM and HBPM enable multiple BP measurements to be obtained within the usual environment of each individual, thereby providing a more comprehensive and representative assessment of the BP profile than that obtained with snapshot office measurements. However, these two methods have been shown to be inconsistent in the diagnosis of white-coat or masked hypertension in approximately 15–20% of individuals, in which a diagnosis of hypertension was confirmed by one method only6,11. This finding is not surprising given the imperfect reproducibility of the two methods and the fact that they assess different aspects of the BP profile and behaviour (for example, a rise in BP level might specifically occur at work, at home or during sleep). Therefore, ABPM and HBPM should be regarded as complementary rather than interchangeable methods and, ideally, both should be performed for a more complete evaluation of average BP level and BPV. Aside from traditional ABPM and HBPM devices, wearable watch-like BP devices with a thin wrist-cuff have been developed, which can take BP measurements when prompted by the individual at any time of day, and are currently being validated for accuracy54.

Cuffless wearable BP devices and BPV

Cuffless BP devices are a rapidly evolving group of novel technologies. These devices use several different parameters and techniques to assess BP levels, including pulse transit time, pulse wave analysis, photoplethysmography and applanation tonometry, and have different intended uses (such as wearable devices for occasional use or for short-term continuous monitoring in an intensive care unit)55,56. Cuffless BP technologies embedded in wearable devices and smartphones can obtain multiple or even continuous measurements during routine activities for days, weeks or months, without the discomfort of cuff-induced limb compression. Therefore, these devices can provide detailed information on true BP profile and behaviour over time, as well as all types of BPV (including short-term to long-term BPV6,55,56,57), and have great potential for use in screening, early diagnosis, close monitoring and optimal management of hypertension.

A large number of cuffless BP devices are currently available on the market, with several different technologies and different intended uses6,17,55,56. Most of these devices require initial calibration in each user, which is usually performed by inputting a BP value measured using an upper-arm-cuff device or by inputting simple demographic data that are known to correlate with BP level (such as age and sex), with periodic recalibration required over time (every few hours, days or weeks). However, cuffless devices have specific accuracy issues that are not present in the automated cuff BP devices, such as the need for individual user calibration and their questionable accuracy in tracking BP changes after calibration55,56.

Importantly, the established validation standards used to evaluate the accuracy of cuff BP devices are inappropriate for cuffless devices58,59. At present, the ISO is developing a new standard specific for validating continuous cuffless BP devices (ISO 81060-3)60. Until appropriate standards for validating cuffless BP devices have been established, and the accuracy and clinical usefulness of cuffless BP devices have been adequately investigated, they should not be recommended for medical decision-making, diagnosis or treatment6. Furthermore, although cuffless wearable devices seem to be ideal for evaluating both short-term and long-term BPV, to date, the data on their clinical value and utility are limited. When all the above research and accuracy issues of cuffless devices are adequately addressed and resolved, they might become the preferred technique for assessing both average BP levels and BPV.

Clinical relevance of BPV

Types and indices of BPV

The continuous dynamic fluctuations in BP levels are dependent on endogenous rhythms and, to a greater extent, on the physical and mental exertion associated with routine daily activities. Given that several aspects of BPV depend on the time window over which it is assessed, BPV is classified and measured in different BP ranges: very short-term (beat-to-beat), short-term (within 24 h, minute-to-minute, hour-to-hour and day-to-night), mid-term (day-to-day) and long-term (visit-to-visit over weeks, months and years)41,42. All these classifications of BPV represent complex, continuous and dynamic interactions between intrinsic (regulatory neurohormonal and cardiovascular) mechanisms and extrinsic (environmental and behavioural) factors and are essential for maintaining BP ‘homeostasis’ to ensure adequate vital organ perfusion under varying conditions41,42. Conversely, increased BPV might also reflect alterations in functional and structural cardiovascular and renal regulatory mechanisms, subclinical or established cardiovascular damage, or underlying pathological conditions associated with autonomic dysfunction, which in turn are linked to poor prognosis41,42. Regardless of what an increase in BPV implies, the dynamic nature of BP has inevitably led to challenges in the accurate evaluation of BP levels and hypertension diagnosis and classification (Fig. 5).

Fig. 5: Capacity of classic blood pressure monitoring methods to assess blood pressure variability.
figure 5

Classic methods to measure blood pressure (BP) are inadequate to capture BP variability across the spectrum of very short-term to long-term variability.

BPV indices are aimed to quantify overall variability and take into account the dispersion, sequence and irregularity of BP values or evaluate specific BPV patterns, such as nocturnal BP decline, ratio of night-to-day BP levels and morning BP surge7,41,42. Numerous indices have been proposed for the evaluation and quantification of BPV. Standard deviation is most often used because it estimates the dispersion of the raw BP values and is straightforward to calculate. However, the standard deviation of BP levels is highly dependent on the average BP value41,42. Furthermore, the coefficient of variation (the standard deviation divided by the corresponding mean) is another widely used parameter of BPV because it is independent of the association with the average BP levels and thus enables the comparison between data with different average values41,42. Given that both the standard deviation and the coefficient of variation are affected by diurnal BP variation, these parameters should be weighted for the duration of the awake and asleep periods when assessing 24 h BPV61.

Other BPV indices that are used exclusively in research include: average real variability (ARV), which assesses the sequence of BP readings and is computed as the average of the absolute differences between consecutive BP measurements; variability independent of the mean (VIM), which is derived from nonlinear regression analysis (but is impractical for use at an individualized level because it requires previous derivation of equation coefficients for the given population); time rate index, which considers the sequence and the slope of BP changes and is useful whenever multiple changes in BP trends occur between measurements; and maximum and minimum BP values7,41,42,62. All these indices assess different aspects of the complex BPV phenomenon and do not have uniform clinical and prognostic values. For example, individuals with the same standard deviation in BP levels might present different values for coefficient of variation owing to different average BP levels, whereas individuals with the same values for coefficient of variation might present different profiles of the direction of BP changes reflected in the time rate index41,42. Furthermore, some indices are more affected by the accuracy of the BP monitoring method than others. For example, ARV is more dependent on the number of ambulatory BP readings than the standard deviation41,42,53.

Clinical implications of BPV

The clinical implications of BPV in terms of hypertension diagnosis are obvious, given the challenges associated with making an accurate diagnosis in clinical practice using traditional methods. As mentioned above, these challenges include continuous fluctuations in BP levels (especially important when BP levels are close to diagnostic thresholds), the imperfect reproducibility of BP data assessed with all the common BP measurement methods, and the heterogeneity of individuals and hypertension phenotypes.

The challenge of data reproducibility

BP readings obtained using traditional methods show only moderate reproducibility, with out-of-office BP measurements being more reproducible than those taken in the office63. The disagreement between office and out-of-office BP monitoring methods has resulted in the identification of the ‘intermediate hypertension’ phenotypes of white-coat hypertension and masked hypertension6,20. These phenotypes also have only moderate reproducibility, which is attributable to inherent BPV6,20. In the ELSA study64, only one-third of 1,664 patients treated for hypertension classified as white-coat or masked hypertension maintained the same classification in repeated annual assessments in the 4-year follow-up. The reproducibility of specific diurnal BP patterns identified by 24 h ABPM, including nocturnal BP dipping and the morning BP surge, is also less than optimal46,47,48,49. Together, these observations demonstrate the inherent challenges in reliably assessing the BP profile. To overcome the diagnostic uncertainties in clinical practice owing to BPV, both European6 and US65 expert panels recommend standardization of the protocols for office and out-of-office BP measurements. Furthermore, the panels propose that any disagreement in diagnosis on the basis of BP levels obtained with different methods should be confirmed with repeat measurements.

Prognostic value of BPV

Despite the inaccuracies in the diagnosis of hypertension owing to the presence of BPV, accumulating evidence from clinical trials, large registries and meta-analyses of population studies shows that increased BPV is predictive of cardiovascular outcomes, independently of the average BP values8,25,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81. These findings have been confirmed with all types of BPV. Regarding short-term BPV, an analysis of 24 h systolic and diastolic ambulatory BPV (ARV) data from the IDACO database66 showed significant predictive value for total and cardiovascular mortality. Likewise, in the Ambulatory Blood Pressure International Study67, a nocturnal systolic BP standard deviation of ≥12.2 mmHg was associated with a higher risk of cardiovascular and all-cause death. Regarding mid-term BPV, data from the IDHOCO database68 showed that all indices of systolic and diastolic BPV (standard deviation, coefficient of variation, ARV and VIM) derived from day-to-day morning HBPM were independently associated with all-cause and cardiovascular mortality. However, all-cause and cardiovascular mortality was significantly increased only in the highest BPV decile, implying that the pattern of this association might not be linear. The prognostic value of long-term BPV has the greatest amount of evidence, according to post hoc analyses of clinical trials with large cohorts of patients, which demonstrated significant associations between visit-to-visit BPV (mainly measured as standard deviation) and cardiovascular end points25,69,70,71,72,73,74,75,76,77,78.

A 2016 meta-analysis of data from prospective cohort studies and clinical trials showed that increased long-term systolic BPV was associated with a higher risk of all-cause and cardiovascular death, cardiovascular events, coronary heart disease and stroke8. The limited data for mid-term and short-term BPV also showed similar associations8. Of note, these studies predominantly included adults at increased risk of cardiovascular disease in Europe and East Asia. Moreover, substantial heterogeneity was present in the BPV indices used across the studies included in the meta-analysis, with standard deviation being the most common parameter8.

Substantial heterogeneity is also present in the associations between BPV and cardiovascular outcomes across different patient subgroups. In the VALUE trial75, a higher visit-to-visit systolic BPV was associated with increased risk of cardiovascular events in patients with hypertension, irrespective of baseline cardiovascular risk, and this association was stronger in younger patients and those with lower systolic BP levels. Furthermore, in the ACCORD trial76, visit-to-visit BPV was associated with the primary cardiovascular outcome, but this relationship was dependent on baseline BP levels; a stronger association was more evident in patients with low and high strata of baseline systolic and diastolic BP levels. Interestingly, diastolic BPV was strongly associated with coronary heart disease, especially in patients with a history of cardiovascular disease and low baseline BP levels, which might indicate a pathophysiological mechanism of reduced coronary perfusion during diastole in patients with diastolic BPV76. In an analysis of the SPRINT trial77,78, which enrolled patients with hypertension and high cardiovascular risk, all-cause mortality was independently associated with visit-to-visit systolic BPV quantified using VIM or maximum minus minimum BP levels, but was not associated with systolic BPV quantified using the coefficient of variation. Of note, despite the discrepancies in the findings of these trials, accurate BP evaluation is even more crucial when targeting the lower BP goals proposed by the currently recommended intensive treatment strategy. BP levels evaluated exclusively using office measurements are often incomplete and might lead to overtreatment. As a result, these patients might experience adverse effects owing to excessive BP reduction, particularly in high-risk patients with limited autoregulation perfusion capacity.

Beyond the prognostic value of BPV for cardiovascular outcomes, mounting evidence indicates that BPV has implications for a broader range of disease outcomes and complications. In patients with acute intracerebral haemorrhage, high systolic BPV was predictive of poor outcome82. Furthermore, critically ill patients with COVID-19 who required transfer to other hospitals for further treatment, were admitted to the intensive care unit or died had greater systolic and diastolic BPV than patients with severe COVID-19 who recovered and were discharged from hospital (despite similar use of antihypertensive medication and similar mean BP levels)83. Furthermore, even in patients without hypertension, BPV has been associated with glaucomatous optic neuropathy, most probably via hypoperfusion of the optic nerve84.

A 2021 meta-analysis of 20 studies that involved 7.8 million participants showed that BPV had a stronger association with dementia and cognitive impairment than mean BP levels85. This finding was confirmed in a randomized trial showing that in old adults without major cognitive impairment, higher long-term, visit-to-visit BPV was associated with an increased risk of dementia and cognitive decline, independently of average BP levels and use of antihypertensive medication86. Together, these findings support the notion that reducing BPV might be a future target to prevent dementia.

Of note, although all types of BPV have a certain degree of clinical relevance and prognostic value, the association between the indices of different types of BPV, as well as their agreement in detecting individuals with high BPV, is moderate87,88. Therefore, all the measurement methods for assessing BPV should be regarded as complementary rather than interchangeable or competitive.

Antihypertensive drugs and BPV

The cardiovascular benefits of drug-mediated BP lowering are well established12,89. However, although numerous classes of antihypertensive drugs have similar effects on BP levels, they have differential effects on BPV. The ASCOT trial90, which compared the calcium-channel blocker amlodipine with the β-blocker atenolol in 19,257 patients with hypertension and other cardiovascular risk factors, demonstrated that amlodipine reduced BPV compared with atenolol, which might explain the disparity between the observed effects on stroke risk and the effects expected by the mean BP change. Other studies have also confirmed a beneficial effect of calcium-channel blockers and diuretics in reducing BPV compared with other antihypertensive agents77,91,92,93,94. In a meta-analysis of data from several randomized clinical trials, inter-individual variation in systolic BP level (used as a surrogate index for within-individual BPV) was reduced by the greatest extent with calcium-channel blockers92. In addition, drug-class effects on inter-individual BPV seemed to account for differences in the effects of antihypertensive drugs on the risk of stroke, independently of their effects on average systolic BP level92. A separate analysis showed a trend towards larger reductions in odds ratios for numerous end points (including stroke) across several randomized clinical trials, with a larger decrease in the coefficient of intra-individual systolic BPV achieved with amlodipine compared with other drugs94. However, all these findings were indirectly derived from post hoc analyses; randomized cardiovascular outcome trials to specifically address the effect of various antihypertensive drug classes on BPV have not yet been performed.

Barriers in implementation

Despite the recognized prognostic value of BPV measurement in the prediction of cardiovascular outcomes, numerous challenges limit its implementation in routine clinical practice. First, although the methods currently used to estimate BPV indicate that increased BPV confers an adverse prognosis, its additive value over and beyond that of average BP levels and its role in risk stratification remain unknown. For example, in the aforementioned IDACO database66, multivariate analyses showed that ARV added only 0.1% to the risk of a composite cardiovascular event. Likewise, the IDHOCO analysis68 revealed only a minor and nonsignificant incremental improvement with use of home BPV monitoring in terms of net reclassification and integrated discrimination improvements. Second, the optimal method for assessing BPV is not known. Several indices have also been established for the quantification of BPV (some of them complex to calculate), but the clinical utility of these parameters has not been validated. Third, BPV threshold values for decision-making have not yet been established. Several studies have proposed thresholds to define increased risk, but these thresholds refer to different indices and types of BPV67,68. Finally, at present, no firm evidence has been found for the benefits of treatment-induced changes in BPV.


Raised BP levels continue to be the leading cause of death globally9, highlighting the importance of accurate, broad and frequent assessment of BP levels in the general population. However, the future of BP measurement will depend on medical needs and advances in technology. The long history of the development of BP monitoring methods and devices (Fig. 1) has been important for our understanding of the strengths and weaknesses of currently available tools and for defining unmet needs.

The key challenge is that BP is a continuous dynamic variable that is inadequately represented by the snapshot measurements provided by all the current clinically available methods. Therefore, the pulsative function of the circulation requires continuous high-definition video recording rather than snapshot photographs. However, given that snapshot office BP measurements have been extremely effective in predicting cardiovascular risk, the goal of improving cardiovascular risk prediction with existing out-of-office BP monitoring methods or BPV measurement methods remains a challenge.

For the reliable evaluation of the long-term BP profile, we need a new method that can provide more BP data (more recording days rather than more readings per day), can obtain readings during all routine daily activities (not only under static conditions), is comfortable for the user over a long period of time (the user should ideally not be aware of when a measurement is taken) and is acceptable for repeated long-term use. Novel technologies must have the accuracy validated using established international standards, well-defined thresholds for diagnosis and proven usefulness in improving patient care beyond that of the currently available methods.

If continuous, accurate recording of BP levels with novel technologies can improve risk prediction and patient care beyond that provided by conventional BP measurement methods, the next steps will be to ensure that the large amount of data derived from these technologies is efficiently used and converted into a simple format for clinical decision-making. Adoption of these types of newer approaches might meet resistance from the medical establishment owing to the wide availability and low cost of conventional office BP devices, especially in low-resource settings. Until accessible and more accurate novel technologies are developed, the currently available approaches require improvement (Box 1).

Cuffless wearable BP monitoring technologies have considerable potential for improving hypertension screening, diagnosis, control and long-term follow-up. Indeed, continuous cuffless BP monitoring can arguably provide a more complete BP profile than current methods and might pave the way for improved and effective implementation of BPV data into clinical practice. Cuffless devices are likely to replace all other methods once their accuracy and clinical usefulness have been established. The intense efforts by medical engineers over the past decade towards this goal indicate that the transition from cuff to cuffless BP measurement is no easy feat. Regardless of the advances in novel technologies in this field, BP measurement remains the only method for the diagnosis and management of hypertension.