| Literature DB >> 35322181 |
D Konstantinidis1, P Iliakis2, F Tatakis2, K Thomopoulos3, K Dimitriadis2, D Tousoulis2, K Tsioufis2.
Abstract
Out-of-office blood pressure (BP) measurement is considered an integral component of the diagnostic algorithm and management of hypertension. In the era of digitalization, a great deal of wearable BP measuring devices has been developed. These digital blood pressure monitors allow frequent BP measurements with minimal annoyance to the patient while they do promise radical changes regarding the diagnostic accuracy, as the importance of making an accurate diagnosis of hypertension has become evident. By increasing the number of BP measurements in different conditions, these monitors allow accurate identification of different clinical phenotypes, such as masked hypertension and pathological BP variability, that seem to have a negative impact on cardiovascular prognosis. Frequent measurements of BP and the incorporation of new features in BP variability, both enable well-rounded interpretation of BP data in the context of real-life settings. This article is a review of all different technologies and wearable BP monitoring devices.Entities:
Year: 2022 PMID: 35322181 PMCID: PMC8942176 DOI: 10.1038/s41371-022-00675-z
Source DB: PubMed Journal: J Hum Hypertens ISSN: 0950-9240 Impact factor: 3.012
Fig. 1Wearable devices used for blood pressure measurement, using various technologies.
Wearable devices Trials.
| Device | Technique | Author | Date | Methodology | Results | Conclusion | |
|---|---|---|---|---|---|---|---|
| Omron Heartguide BP8000-M (HEM-6410T-ZM) | Oscillometric wrist cuffs | Kikuya M (19) | 2002 | 173 | Human observation (2 observers) Crossover comparison: auscultation vs - the mercury standard (one arm) - the device - (opposite arm/wrist) Grading based on criteria of British Hypertension Society | Good inter-observer agreement for the auscultation method Mean difference minimal both in arm-cuff and wrist devices −2.1/1.2 ± 9.7/7.3, Grading: C/B | Inadequate - self-measurement - clinical and practical use |
| Omron Heartguide BP8000-M (HEM-6410T-ZM) | Oscillometric wrist cuffs | Kario K (20) | 2020 | 50 | Comparison: BP by device (WBPM) vs. - office BP measurements the office (total of 4 readings alternately measured in the sitting position) and outside the office - ABPM device, A&D TM‐244 BP devices simultaneously worn on the same non‐dominant arm | mean SBP by WBPM and ABPM 132.8 ± 17.4 and 132.0 ± 17.1 no significant difference 0.8 ± 12.8 mm Hg, ( mean DBP by WBPM and ABPM 78.9 ± 10.3 and 82.1 ± 9.7 difference −3.2 ± 8.7 mm Hg ( difference in BP between matched WBPM and ABPM readings was +3.2 ± 17.0 ( | Mean difference between the WBPM vs. ABPM acceptable in both office and out‐of‐office settings |
| BPro (HealthSTATS International, Singapore) | Applanation wrist tonometry | Komori T (28) | 2013 | 50 | Comparison of wrist-worn device using tonometric measurements of BP to a standard arm-type ABPM monitor | Mean awake SBP (122 ± 13 vs. 127 ± 11 mmHg, Mean sleep DBP (71 ± 8 vs. 64 ± 8 mmHg, SBP and DBP values in the other arm positions were similar between the monitors | Agreement regarding BP values between monitors, stable irrespective of arm positions |
| BPro (HealthSTATS International, Singapore) | Applanation wrist tonometry | Hornstrup BG (29) | 2020 | 100 | Comparison of a wrist-worn device using tonometric measurements of BP to a conventional device using oscillometric measurements of 24 h BP, aiming to diagnosing of hypertension, and non-dipping. | Ambulatory SBP significantly lower using tonometric monitoring compared to oscillometric (7 and 6 mmHg, respectively, 49% classified as normotensive were uncontrolled hypertensive (negative predictive value) 33% classified as dippers were non-dippers (negative predictive value) | Misclassification of patients using the wrist-worn device |
| CareUp® | Photoplethysmography smartwatch | Lazazzera R (34) | 2019 | 44 | Validation of smartwatch in measuring BP using a sphygmomanometer | No significant difference in SBP measurements | Accuracy comparable to the oscillometry-based devices |
| iPARR | Built-in smartphone cameras for photoplethysmographic (PPG) recording of pulse waves | Dörr M (44) | 2020 | 965 | Comparison of BP measurements with an automated oscillometric cuff device - followed by the photoplethysmographic recording at the patients’ index finger | Mean (±SD) error between test and reference device was −0.41 (±16.52) mmHg Only 38.1% of all 2895 BP comparisons reached a delta within ±5 mmHg, while 29.3% reached a delta larger than 15 mmHg | According to the European Society of Hypertension International Protocol Revision 2010 specifications the algorithm failed validation criteria for sBP measurement and was not commercialized |
| Aktiia Bracelet | Photoplethysmography smartwatch | Vybornova A (43) | 2021 | 86 | Comparison of BP measurements consisted of simultaneous recording of optical signals with the device and double-blinded auscultation by two trained observers in the standard sitting position | Mean and SD of the differences between device estimates and the reference were 0.46 ± 7.75 mmHg for SBP and 0.39 ± 6.86 mmHg for DBP The SD of the averaged paired difference per subject were 3.9 mmHg for SBP and 3.6 mmHg for DBP | Overall accuracy satisfied validation criteria 1 and 2 of ISO81060-2 in the sitting position It can be recommended for BP measurement in adult population |
Abbreviations: BP Blood Pressure, SBP Systolic Blood Pressure, DBP Diastolic Blood Pressure, ABPM Ambulatory Blood Pressure Measurements, WBPM Wrist Blood Pressure Measurements, SD Standard Deviation, PPG Photoplethysmography.