A comparative trial of blood pressure monitoring in a self-care kiosk, in office, and with ambulatory blood pressure monitoring.
Ambulatory blood pressure
Clinical trial
Self-blood pressure monitoring
Journal
BMC cardiovascular disorders
ISSN: 1471-2261
Titre abrégé: BMC Cardiovasc Disord
Pays: England
ID NLM: 100968539
Informations de publication
Date de publication:
03 Jan 2024
03 Jan 2024
Historique:
received:
04
09
2023
accepted:
28
12
2023
medline:
4
1
2024
pubmed:
4
1
2024
entrez:
3
1
2024
Statut:
epublish
Résumé
Automated measurement of blood pressure (BP) in designated BP kiosks have in recent years been introduced in primary care. If kiosk blood pressure (BP) monitoring provides results equivalent to in-office BP or daytime ambulatory BP monitoring (ABPM), follow-up of adult patients could be managed primarily by self-checks. We therefore designed a comparative trial and evaluated the diagnostic performance of kiosk- and office-based BP (nurse- versus physician-measured) compared with daytime ABPM. A trial of automated BP monitoring in three settings: a designated BP kiosk, by nurses and physicians in clinic, and by ABPM. The primary outcome was systolic and diastolic BP, with respective diagnostic thresholds of ≥135 mmHg and/or ≥ 85 mmHg for daytime ABPM and kiosk BP and ≥ 140 mmHg and/or ≥ 90 mmHg for office BP (nurse- and physician-measured). Compared with daytime ABPM, mean systolic kiosk BP was higher by 6.2 mmHg (95% confidence interval [CI] 3.8-8.6) and diastolic by 7.9 mmHg (95% CI 6.2-9.6; p < 0.001). Mean systolic BP taken by nurses was similar to daytime ABPM values (+ 2.0 mmHg; 95% CI - 0.2-4.2; p = 0.071), but nurse-measured diastolic values were higher, by 7.2 mmHg (95% CI 5.9-9.6; p < 0.001). Mean systolic and diastolic physician-measured BPs were higher compared with daytime ABPM (systolic, by 7.6 mmHg [95% CI 4.5-10.2] and diastolic by 5.8 mmHg [95% CI 4.1-7.6]; p < 0.001). Receiver operating characteristic curves of BP monitoring across pairs of systolic/diastolic cut-off levels among the three settings, with daytime ABPM as reference, demonstrated overall similar diagnostic performance between kiosk and nurse-measured values and over the curve performance for physician-measured BP. Accuracy with nurse-measured BP was 69.2% (95% CI 60.0-77.4%), compared with 65.8% (95% CI 56.5-74.3%) for kiosk BP. In this study kiosk BP monitoring was not comparable to daytime ABPM but could be an alternative to in-office BP monitoring by trained nurses. The diagnostic performance of kiosk and nurse-measured BP monitoring was similar and better than that of physician-measured BP. ClinicalTrials.gov (NCT04488289) 27/07/2020.
Sections du résumé
BACKGROUND
BACKGROUND
Automated measurement of blood pressure (BP) in designated BP kiosks have in recent years been introduced in primary care. If kiosk blood pressure (BP) monitoring provides results equivalent to in-office BP or daytime ambulatory BP monitoring (ABPM), follow-up of adult patients could be managed primarily by self-checks. We therefore designed a comparative trial and evaluated the diagnostic performance of kiosk- and office-based BP (nurse- versus physician-measured) compared with daytime ABPM.
METHODS
METHODS
A trial of automated BP monitoring in three settings: a designated BP kiosk, by nurses and physicians in clinic, and by ABPM. The primary outcome was systolic and diastolic BP, with respective diagnostic thresholds of ≥135 mmHg and/or ≥ 85 mmHg for daytime ABPM and kiosk BP and ≥ 140 mmHg and/or ≥ 90 mmHg for office BP (nurse- and physician-measured).
RESULTS
RESULTS
Compared with daytime ABPM, mean systolic kiosk BP was higher by 6.2 mmHg (95% confidence interval [CI] 3.8-8.6) and diastolic by 7.9 mmHg (95% CI 6.2-9.6; p < 0.001). Mean systolic BP taken by nurses was similar to daytime ABPM values (+ 2.0 mmHg; 95% CI - 0.2-4.2; p = 0.071), but nurse-measured diastolic values were higher, by 7.2 mmHg (95% CI 5.9-9.6; p < 0.001). Mean systolic and diastolic physician-measured BPs were higher compared with daytime ABPM (systolic, by 7.6 mmHg [95% CI 4.5-10.2] and diastolic by 5.8 mmHg [95% CI 4.1-7.6]; p < 0.001). Receiver operating characteristic curves of BP monitoring across pairs of systolic/diastolic cut-off levels among the three settings, with daytime ABPM as reference, demonstrated overall similar diagnostic performance between kiosk and nurse-measured values and over the curve performance for physician-measured BP. Accuracy with nurse-measured BP was 69.2% (95% CI 60.0-77.4%), compared with 65.8% (95% CI 56.5-74.3%) for kiosk BP.
CONCLUSIONS
CONCLUSIONS
In this study kiosk BP monitoring was not comparable to daytime ABPM but could be an alternative to in-office BP monitoring by trained nurses. The diagnostic performance of kiosk and nurse-measured BP monitoring was similar and better than that of physician-measured BP.
TRIAL REGISTRATION
BACKGROUND
ClinicalTrials.gov (NCT04488289) 27/07/2020.
Identifiants
pubmed: 38172659
doi: 10.1186/s12872-023-03701-1
pii: 10.1186/s12872-023-03701-1
doi:
Banques de données
ClinicalTrials.gov
['NCT04488289']
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
27Informations de copyright
© 2024. The Author(s).
Références
Mills KT, Stefanescu A, He J. The global epidemiology of hypertension. Nat Rev Nephrol. 2020;16:223–37.
doi: 10.1038/s41581-019-0244-2
pubmed: 32024986
pmcid: 7998524
Forouzanfar MH, Liu P, Roth GA, Ng M, Biryukov S, Marczak L, et al. Global burden of hypertension and systolic blood pressure of at least 110 to 115 mm hg, 1990-2015. JAMA. 2017;317:165–82.
doi: 10.1001/jama.2016.19043
pubmed: 28097354
NCD Risk Factor Collaboration (NCD-RisC). Worldwide trends in blood pressure from 1975 to 2015: a pooled analysis of 1479 population-based measurement studies with 19·1 million participants. Lancet. 2017;389:37–55. Erratum in: Lancet. 2020;396:886
doi: 10.1016/S0140-6736(16)31919-5
Williams B, Mancia G, Spiering W, Agabiti Rosei E, Azizi M, Burnier M, et al. ESC scientific document group. 2018 ESC/ESH guidelines for the management of arterial hypertension. Eur Heart J. 2018;39:3021–104.
doi: 10.1093/eurheartj/ehy339
pubmed: 30165516
Banegas JR, López-García E, Dallongeville J, Guallar E, Halcox JP, Borghi C, et al. Achievement of treatment goals for primary prevention of cardiovascular disease in clinical practice across Europe: the EURIKA study. Eur Heart J. 2011;32:2143–52.
doi: 10.1093/eurheartj/ehr080
pubmed: 21471134
pmcid: 3164103
Egan BM, Kjeldsen SE, Grassi G, Esler M, Mancia G. The global burden of hypertension exceeds 1.4 billion people: should a systolic blood pressure target below 130 become the universal standard? J Hypertens. 2019;37:1148–53.
doi: 10.1097/HJH.0000000000002021
pubmed: 30624370
SPRINT Research Group, Wright JT Jr, Williamson JD, Whelton PK, Snyder JK, Sink KM, Rocco MV, et al. A Randomized Trial of Intensive versus Standard Blood-Pressure Control. N Engl J Med. 2015;373:2103–16. Erratum in: N Engl J Med. 2017;377:2506
doi: 10.1056/NEJMoa1511939
SPS3 Study Group, Benavente OR, Coffey CS, Conwit R, Hart RG, McClure LA, Pearce LA, et al. Blood-pressure targets in patients with recent lacunar stroke: the SPS3 randomised trial. Lancet. 2013;382:507–15. Erratum in: Lancet. 2013;382:506
doi: 10.1016/S0140-6736(13)60852-1
ACCORD Study Group, Cushman WC, Evans GW, Byington RP, Goff DC Jr, Grimm RH Jr, Cutler JA, et al. Effects of intensive blood-pressure control in type 2 diabetes mellitus. N Engl J Med. 2010;362:1575–85.
doi: 10.1056/NEJMoa1001286
Hansson L, Zanchetti A, Carruthers SG, Dahlöf B, Elmfeldt D, Julius S, et al. Effects of intensive blood-pressure lowering and low-dose aspirin in patients with hypertension: principal results of the hypertension optimal treatment (HOT) randomised trial. HOT Study Group Lancet. 1998;351:1755–62.
O'Brien E, Parati G, Stergiou G, Asmar R, Beilin L, Bilo G, et al. European Society of Hypertension Working Group on blood pressure monitoring. European Society of Hypertension position paper on ambulatory blood pressure monitoring. J Hypertens. 2013;31:1731–68. Erratum in: J Hypertens 2013:2467
doi: 10.1097/HJH.0b013e328363e964
pubmed: 24029863
Parati G, Stergiou G, O'Brien E, Asmar R, Beilin L, Bilo G, et al. European Society of Hypertension Working Group on blood pressure monitoring and cardiovascular variability. European Society of Hypertension practice guidelines for ambulatory blood pressure monitoring. J Hypertens. 2014;32:1359–66.
doi: 10.1097/HJH.0000000000000221
pubmed: 24886823
Seidlerová J, Gelžinský J, Mateřánková M, Ceral J, König P, Filipovský J. In the aftermath of SPRINT: further comparison of unattended automated office blood pressure measurement and 24-hour blood pressure monitoring. Blood Press. 2018;27:256–61.
doi: 10.1080/08037051.2018.1454258
pubmed: 29566565
Seidlerová J, Ceral J, Mateřánková M, König P, Řiháček I, Vysočanová P, et al. Long-term relationship between unattended automated blood pressure and auscultatory BP measurements in hypertensive patients. Blood Press. 2019;28:34–9.
doi: 10.1080/08037051.2018.1540260
pubmed: 30474412
Filipovský J, Seidlerová J, Kratochvíl Z, Karnosová P, Hronová M, Mayer O Jr. Automated compared to manual office blood pressure and to home blood pressure in hypertensive patients. Blood Press. 2016;25:228–34.
doi: 10.3109/08037051.2015.1134086
pubmed: 26852625
Green BB, Anderson ML, Campbell J, Cook AJ, Ehrlich K, Evers S, et al. Blood pressure checks and diagnosing hypertension (BP-CHECK): design and methods of a randomized controlled diagnostic study comparing clinic, home, kiosk, and 24-hour ambulatory BP monitoring. Contemp Clin Trials. 2019;79:1–13.
doi: 10.1016/j.cct.2019.01.003
pubmed: 30634036
pmcid: 7067555
Green BB, Anderson ML, Cook AJ, Ehrlich K, Hall YN, Hsu C, et al. Clinic, home, and kiosk blood pressure measurements for diagnosing hypertension: a randomized diagnostic study. J Gen Intern Med. 2022;37:2948–56.
doi: 10.1007/s11606-022-07400-z
pubmed: 35239109
pmcid: 9485334
Kjeldsen SE, Lund-Johansen P, Nilsson PM, Mancia G. Unattended blood pressure measurements in the systolic blood pressure intervention trial: implications for entry and achieved blood pressure values compared with other trials. Hypertension. 2016;67:808–12.
doi: 10.1161/HYPERTENSIONAHA.116.07257
pubmed: 27001295
Thompson MJ, Anderson ML, Cook AJ, Ehrlich K, Hall YN, Hsu C, et al. Acceptability and adherence to home, kiosk, and clinic blood pressure measurement compared to 24-H ambulatory monitoring. J Gen Intern Med. 2023:1–8. https://doi.org/10.1007/s11606-023-08036-3 .
https://www.medcalc.org/calc/diagnostic_test.php (Version 20.218); Accessed 22 Feb 2023.
Andreadis EA, Geladari CV, Angelopoulos ET, Savva FS, Georgantoni AI, Papademetriou V. Attended and unattended automated office blood pressure measurements have better agreement with ambulatory monitoring than conventional office readings. J Am Heart Assoc. 2018;7:e008994.
doi: 10.1161/JAHA.118.008994
pubmed: 29627767
pmcid: 6015428
Alpert BS. Are kiosk blood pressure readings trustworthy? Blood Press Monit. 2012;17:257–8.
doi: 10.1097/MBP.0b013e32835b9ea1
pubmed: 23147536
Al Hamarneh YN, Houle SK, Chatterley P, Tsuyuki RT. The validity of blood pressure kiosk validation studies: a systematic review. Blood Press Monit. 2013;18:167–72.
doi: 10.1097/MBP.0b013e328360fb85
pubmed: 23635486
Alpert BS, Dart RA, Sica DA. Public-use blood pressure measurement: the kiosk quandary. J Am Soc Hypertens. 2014;8:739–42.
doi: 10.1016/j.jash.2014.07.034
pubmed: 25418496
Padwal RS, Townsend RR, Trudeau L, Hamilton PG, Gelfer M. Comparison of an in-pharmacy automated blood pressure kiosk to daytime ambulatory blood pressure in hypertensive subjects. J Am Soc Hypertens. 2015;9:123–9.
doi: 10.1016/j.jash.2014.11.004
pubmed: 25600420
Bager JE, Mourtzinis G, Andersson T, Nåtman J, Rosengren A, Björck S, et al. Trends in blood pressure, blood lipids, and smoking from 259 753 patients with hypertension in a Swedish primary care register: results from QregPV. Eur J Prev Cardiol. 2022;29:158–66.
doi: 10.1093/eurjpc/zwab087
pubmed: 34056646
Cohen DL, Townsend RR. Blood pressure readings using public kiosks or smart phone apps: caveat emptor (for now). J Clin Hypertens (Greenwich). 2017;19:946–7.
doi: 10.1111/jch.13013
pubmed: 28942604
GBD 2017 Risk Factor Collaborators. Global, regional, and national comparative risk assessment of 84 behavioural, environmental and occupational, and metabolic risks or clusters of risks for 195 countries and territories, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet. 2018;392:1923–94. Erratum in: Lancet. 2019;393:132. Erratum in: Lancet. 2019;393:e44
doi: 10.1016/S0140-6736(18)32225-6