Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • Review Article
  • Special Issue: Current evidence and perspectives for hypertension management in Asia
  • Published:

Home blood pressure-centered approach – from digital health to medical practice: HOPE Asia Network consensus statement 2023

Abstract

Recent innovations in digital technology have enabled the simultaneous accumulation, and the linking and analysis of time-series big data relating to several factors that influence blood pressure (BP), including biological indicators, physical activity, and environmental information. Various approaches can be used to monitor BP: in the office/clinic; at home; 24-h ambulatory recording; or with wearable and cuffless devices. Of these, home BP monitoring is a reliable and convenient method, and is recommended for hypertension management by current national and international guidelines. This recommendation is based on evidence showing that home BP is an important predictor of cardiovascular, cerebrovascular and kidney disease in patients with hypertension. In addition, lifetime personalized health record (PHR)-based home BP with telemonitoring combined with co-interventions has been shown to lower BP more effectively than the traditional approach based on office BP. Thus, home BP represents a key metric for personalized anticipation medicine, from digital healthcare to digital medicine. This paper summarizes the latest evidence on home BP monitoring and proposes a Hypertension Cardiovascular Outcome Prevention and Evidence in Asia (HOPE Asia) Network consensus on a home BP-centered approach to the management of hypertension.

This is a preview of subscription content, access via your institution

Access options

Buy this article

Prices may be subject to local taxes which are calculated during checkout

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8

Similar content being viewed by others

References

  1. Kario K. Essential manual of perfect 24-hour blood pressure management from morning to nocturnal hypertension. 2nd ed. London: Wiley; 2022.

  2. Lewington S, Clarke R, Qizilbash N, Peto R, Collins R. Age-specific relevance of usual blood pressure to vascular mortality: a meta-analysis of individual data for one million adults in 61 prospective studies. Lancet. 2002;360:1903–13.

    PubMed  Google Scholar 

  3. Blood Pressure Lowering Treatment Trialists’ Collaboration. Pharmacological blood pressure lowering for primary and secondary prevention of cardiovascular disease across different levels of blood pressure: an individual participant-level data meta-analysis. Lancet. 2021;397:1625–36.

    Google Scholar 

  4. Zhang W, Zhang S, Deng Y, Wu S, Ren J, Sun G, et al. Trial of intensive blood-pressure control in older patients with hypertension. N Engl J Med. 2021;385:1268–79.

    CAS  Google Scholar 

  5. Kario K, Sakima A, Ohya Y. STEP to estimate cardiovascular events by home blood pressure in the era of digital hypertension. Hypertens Res. 2022;45:11–4.

    PubMed  Google Scholar 

  6. Umemura S, Arima H, Arima S, Asayama K, Dohi Y, Hirooka Y, et al. The Japanese Society of hypertension guidelines for the management of hypertension (JSH 2019). Hypertens Res. 2019;42:1235–481.

    PubMed  Google Scholar 

  7. Whelton PK, Carey RM, Aronow WS, Casey DE Jr, Collins KJ, Dennison Himmelfarb C, et al. 2017 ACC/AHA/AAPA/ABC/ACPM/AGS/APhA/ASH/ASPC/NMA/PCNA guideline for the prevention, detection, evaluation, and management of high blood pressure in adults: executive summary: a report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines. Hypertension. 2018;71:1269–324.

    CAS  PubMed  Google Scholar 

  8. Williams B, Mancia G, Spiering W, Agabiti Rosei E, Azizi M, Burnier M, et al. 2018 ESC/ESH Guidelines for the management of arterial hypertension. Eur Heart J. 2018;39:3021–104.

    PubMed  Google Scholar 

  9. Kario K, Harada N, Okura A. The first software as medical device of evidence-based hypertension digital therapeutics for clinical practice. Hypertens Res. 2022;45:1899–905.

    PubMed Central  Google Scholar 

  10. Kario K, Harada N, Okura A. Digital therapeutics in hypertension: evidence and perspectives. Hypertension. 2022;79:2148–58.

    CAS  PubMed  Google Scholar 

  11. Kario K, Hoshide S, Mogi M. Digital hypertension 2023: concept, hypothesis, and new technology. Hypertens Res. 2022;45:1529–30.

    PubMed  PubMed Central  Google Scholar 

  12. Kario K, Nomura A, Harada N, Okura A, Nakagawa K, Tanigawa T, et al. Efficacy of a digital therapeutics system in the management of essential hypertension: the HERB-DH1 pivotal trial. Eur Heart J. 2021;42:4111–22.

    PubMed  PubMed Central  Google Scholar 

  13. Matsuoka R, Akazawa H, Kodera S, Komuro I. The dawning of the digital era in the management of hypertension. Hypertens Res. 2020;43:1135–40.

    Google Scholar 

  14. Chia YC, Kario K, Turana Y, Nailes J, Tay JC, Siddique S, et al. Target blood pressure and control status in Asia. J Clin Hypertens. 2020;22:344–50.

    Google Scholar 

  15. Kario K, Chia YC, Siddique S, Turana Y, Li Y, Chen CH, et al. Seven-action approaches for the management of hypertension in Asia - the HOPE Asia network. J Clin Hypertens. 2022;24:213–23.

    Google Scholar 

  16. Kario K, Chia YC, Wang JG. The HOPE Asia Network activity 2022: towards better hypertension management in Asia. J Clin Hypertens. 2022;24:1109–11.

    Google Scholar 

  17. Kario K, Morisawa Y, Sukonthasarn A, Turana Y, Chia YC, Park S, et al. COVID-19 and hypertension-evidence and practical management: Guidance from the HOPE Asia Network. J Clin Hypertens. 2020;22:1109–19.

    CAS  Google Scholar 

  18. Kario K, Park S, Chia YC, Sukonthasarn A, Turana Y, Shin J, et al. 2020 Consensus summary on the management of hypertension in Asia from the HOPE Asia Network. J Clin Hypertens. 2020;22:351–62.

    Google Scholar 

  19. Kario K, Shin J, Chen CH, Buranakitjaroen P, Chia YC, Divinagracia R, et al. Expert panel consensus recommendations for ambulatory blood pressure monitoring in Asia: the HOPE Asia Network. J Clin Hypertens. 2019;21:1250–83.

    Google Scholar 

  20. Kario K, Wang JG, Chia YC, Wang TD, Li Y, Siddique S, et al. The HOPE Asia network 2022 up-date consensus statement on morning hypertension management. J Clin Hypertens. 2022;24:1112–20.

    Google Scholar 

  21. Park S, Buranakitjaroen P, Chen CH, Chia YC, Divinagracia R, Hoshide S, et al. Expert panel consensus recommendations for home blood pressure monitoring in Asia: the Hope Asia Network. J Hum Hypertens. 2018;32:249–58.

    PubMed  Google Scholar 

  22. Wang JG, Li Y, Chia YC, Cheng HM, Minh HV, Siddique S, et al. Telemedicine in the management of hypertension: evolving technological platforms for blood pressure telemonitoring. J Clin Hypertens. 2021;23:435–9.

    Google Scholar 

  23. Kario K, Hoshide S, Mogi M. Lifetime home BP-centered approach is the core from onset to aggravation of hypertension. Hypertens Res. 2023;46:553–5.

    Google Scholar 

  24. Hoshide S, Yamamoto K, Katsurada K, Yano Y, Nishiyama A, Wang JG, et al. Agreement regarding overcoming hypertension in the Asian Hypertension Society Network 2022. Hypertens Res. 2022;46:3–8.

    PubMed  Google Scholar 

  25. Kario K, Tomitani N, Kanegae H, Yasui N, Nagai R, Harada H. The further development of out-of-office BP monitoring: Japan’s ImPACT Program Project’s achievements, impact, and direction. J Clin Hypertensn. 2019;21:344–9.

    Google Scholar 

  26. Asayama K, Thijs L, Li Y, Gu YM, Hara A, Liu YP, et al. Setting thresholds to varying blood pressure monitoring intervals differentially affects risk estimates associated with white-coat and masked hypertension in the population. Hypertension. 2014;64:935–42.

    CAS  Google Scholar 

  27. Kario K. Global impact of 2017 American Heart Association/American College of Cardiology hypertension guidelines: a perspective from Japan. Circulation. 2018;137:543–5.

    PubMed  Google Scholar 

  28. Wang TD, Chiang CE, Chao TH, Cheng HM, Wu YW, Wu YJ, et al. 2022 guidelines of the Taiwan Society of Cardiology and the Taiwan Hypertension Society for the Management of Hypertension. Acta Cardiol Sin. 2022;38:225–325.

    PubMed Central  Google Scholar 

  29. Shimbo D, Artinian NT, Basile JN, Krakoff LR, Margolis KL, Rakotz MK, et al. Self-measured blood pressure monitoring at home: a joint policy statement from the American Heart Association and American Medical Association. Circulation. 2020;142:e42–e63.

    PubMed  Google Scholar 

  30. McManus RJ, Mant J, Franssen M, Nickless A, Schwartz C, Hodgkinson J, et al. Efficacy of self-monitored blood pressure, with or without telemonitoring, for titration of antihypertensive medication (TASMINH4): an unmasked randomised controlled trial. Lancet. 2018;391:949–59.

    PubMed  PubMed Central  Google Scholar 

  31. McManus RJ, Mant J, Haque MS, Bray EP, Bryan S, Greenfield SM, et al. Effect of self-monitoring and medication self-titration on systolic blood pressure in hypertensive patients at high risk of cardiovascular disease: the TASMIN-SR randomized clinical trial. JAMA. 2014;312:799–808.

    CAS  PubMed  Google Scholar 

  32. McManus RJ, Mant J, Haque MS, Bray EP, Bryan S, Greenfield SM, et al. Effect of self-monitoring and medication self-titration on systolic blood pressure in hypertensive patients at high risk of cardiovascular disease: the TASMIN-SR randomized clinical trial. JAMA. 2014;312:799–808.

    CAS  PubMed  Google Scholar 

  33. Agarwal R, Bills JE, Hecht TJ, Light RP. Role of home blood pressure monitoring in overcoming therapeutic inertia and improving hypertension control: a systematic review and meta-analysis. Hypertension. 2011;57:29–38.

    CAS  PubMed  Google Scholar 

  34. Tucker KL, Sheppard JP, Stevens R, Bosworth HB, Bove A, Bray EP, et al. Self-monitoring of blood pressure in hypertension: a systematic review and individual patient data meta-analysis. PLoS Med. 2017;14:e1002389.

    PubMed  PubMed Central  Google Scholar 

  35. Margolis KL, Asche SE, Dehmer SP, Bergdall AR, Green BB, Sperl-Hillen JM, et al. Long-term outcomes of the effects of home blood pressure telemonitoring and pharmacist management on blood pressure among adults with uncontrolled hypertension: follow-up of a cluster randomized clinical trial. JAMA Netw Open. 2018;1:e181617.

    PubMed  PubMed Central  Google Scholar 

  36. Hoshide S, Kario K, de la Sierra A, Bilo G, Schillaci G, Banegas JR, et al. Ethnic differences in the degree of morning blood pressure surge and in its determinants between Japanese and European hypertensive subjects: data from the ARTEMIS study. Hypertension. 2015;66:750–6.

    CAS  PubMed  Google Scholar 

  37. Hoshide S, Yano Y, Haimoto H, Yamagiwa K, Uchiba K, Nagasaka S, et al. Morning and evening home blood pressure and risks of incident stroke and coronary artery disease in the Japanese General Practice Population: the Japan Morning Surge-Home Blood Pressure Study. Hypertension. 2016;68:54–61.

    CAS  PubMed  Google Scholar 

  38. Kario K, Saito I, Kushiro T, Teramukai S, Tomono Y, Okuda Y, et al. Morning home blood pressure is a strong predictor of coronary artery disease: the HONEST study. J Am Coll Cardiol. 2016;67:1519–27.

    PubMed  Google Scholar 

  39. Kario K. Management of hypertension in the digital era: small wearable monitoring devices for remote blood pressure monitoring. Hypertension. 2020;76:640–50.

    CAS  PubMed  Google Scholar 

  40. Umishio W, Ikaga T, Kario K, Fujino Y, Suzuki M, Ando S, et al. Impact of indoor temperature instability on diurnal and day-by-day variability of home blood pressure in winter: a nationwide Smart Wellness Housing survey in Japan. Hypertens Res. 2021;44:1406–16.

    PubMed Central  Google Scholar 

  41. Umishio W, Ikaga T, Kario K, Fujino Y, Suzuki M, Ando S, et al. Role of housing in blood pressure control: a review of evidence from the Smart Wellness Housing survey in Japan. Hypertens Res. 2022;46:9–18.

    PubMed  PubMed Central  Google Scholar 

  42. Parati G, Bilo G, Kollias A, Pengo M, Ochoa JE, Castiglioni P, et al. Blood pressure variability: methodological aspects, clinical relevance and practical indications for management - a European Society of Hypertension position paper *. J Hypertens. 2023;41:527–44.

    CAS  PubMed  Google Scholar 

  43. Hoshide S, Yano Y, Mizuno H, Kanegae H, Kario K. Day-by-day variability of home blood pressure and incident cardiovascular disease in clinical practice: the J-HOP study (Japan Morning Surge-Home Blood Pressure). Hypertension. 2018;71:177–84.

    CAS  PubMed  Google Scholar 

  44. Lin JY, Kuo KL, Kuo YH, Wu KP, Chu KC, Jiang YC, et al. Association between real-world home blood pressure measurement patterns and blood pressure variability among older individuals with hypertension: a community-based blood pressure variability study. J Clin Hypertens. 2021;23:628–37.

    CAS  Google Scholar 

  45. Ishiyama Y, Hoshide S, Kanegae H, Kario K. Increased arterial stiffness amplifies the association between home blood pressure variability and cardiac overload: the J-HOP study. Hypertension. 2020;75:1600–6.

    CAS  PubMed  Google Scholar 

  46. Ishiyama Y, Hoshide S, Kanegae H, Kario K. Impact of home blood pressure variability on cardiovascular outcome in patients with arterial stiffness: Results of the J-HOP study. J Clin Hypertens. 2021;23:1529–37.

    CAS  Google Scholar 

  47. Kario K, Chirinos JA, Townsend RR, Weber MA, Scuteri A, Avolio A, et al. Systemic hemodynamic atherothrombotic syndrome (SHATS) - Coupling vascular disease and blood pressure variability: proposed concept from pulse of Asia. Prog Cardiovasc Dis. 2020;63:22–32.

    PubMed  Google Scholar 

  48. Narita K, Hoshide S, Kario K. Difference between morning and evening home blood pressure and cardiovascular events: the J-HOP Study (Japan Morning Surge-Home Blood Pressure). Hypertens Res. 2021;44:1597–605.

    PubMed  Google Scholar 

  49. Hoshide S, Kubota K, Kario K. Difference between morning and evening blood pressure at home and nocturnal hypoxia in the general practitioner-based J-HOP study. Hypertens Res. 2022;46:751–5.

    PubMed  Google Scholar 

  50. Narita K, Hoshide S, Fujiwara T, Kanegae H, Kario K. Seasonal variation of home blood pressure and its association with target organ damage: the J-HOP study (Japan Morning Surge-Home Blood Pressure). Am J Hypertens. 2020;33:620–8.

    CAS  PubMed  PubMed Central  Google Scholar 

  51. Narita K, Hoshide S, Kario K. Relationship between home blood pressure and the onset season of cardiovascular events: the J-HOP Study (Japan Morning Surge-Home Blood Pressure). Am J Hypertens. 2021;34:729–36.

    CAS  PubMed  Google Scholar 

  52. Narita K, Hoshide S, Kario K. Seasonal variation in day-by-day home blood pressure variability and effect on cardiovascular disease incidence. Hypertension. 2022;79:2062–70.

    CAS  PubMed  Google Scholar 

  53. Fujiwara T, Hoshide S, Kanegae H, Kario K. Clinical impact of the maximum mean value of home blood pressure on cardiovascular outcomes: a novel indicator of home blood pressure variability. Hypertension. 2021;78:840–50.

    CAS  Google Scholar 

  54. Kario K, Tomitani N, Fujiwara T, Okawara Y, Kanegae H, Hoshide S. Peak home blood pressure as an earlier and strong novel risk factor for stroke: the practitioner-based nationwide J-HOP study extended. Hypertens Res. 2023. in press.

  55. Buckley LF, Baker WL, Van Tassell BW, Cohen JB, Alkhezi O, Bress AP, et al. Systolic blood pressure time in target range and major adverse kidney and cardiovascular events. Hypertension. 2023;80:305–13.

    CAS  Google Scholar 

  56. Schlaich MP. Time in target range: the future of assessing adequacy of blood pressure control? Hypertension. 2023;80:314–5.

    CAS  PubMed  Google Scholar 

  57. Kario K, Hasebe N, Okumura K, Yamashita T, Akao M, Atarashi H, et al. Home blood pressure can predict the risk for stroke/bleeding events in elderly patients with nonvalvular atrial fibrillation from the ANAFIE registry. Hypertension. 2022;79:2696–705.

    CAS  PubMed  Google Scholar 

  58. Kario K, Tomitani N, Kanegae H, Yasui N, Nishizawa M, Fujiwara T, et al. Development of a new ICT-based multisensor blood pressure monitoring system for use in hemodynamic biomarker-initiated anticipation medicine for cardiovascular disease: the National IMPACT Program Project. Prog Cardiovasc Dis. 2017;60:435–49.

    Google Scholar 

  59. Kario K. Nocturnal hypertension: new technology and evidence. Hypertension. 2018;71:997–1009.

    CAS  PubMed  Google Scholar 

  60. Fujiwara T, Hoshide S, Kanegae H, Kario K. Cardiovascular event risks associated with masked nocturnal hypertension defined by home blood pressure monitoring in the J-HOP nocturnal blood pressure study. Hypertension. 2020;76:259–66.

    CAS  Google Scholar 

  61. Hoshide S, Kanegae H, Kario K. Nighttime home blood pressure as a mediator of N-terminal pro-brain natriuretic peptide in cardiovascular events. Hypertens Res. 2021;44:1138–46.

    CAS  Google Scholar 

  62. Kario K, Kanegae H, Tomitani N, Okawara Y, Fujiwara T, Yano Y, et al. Nighttime blood pressure measured by home blood pressure monitoring as an independent predictor of cardiovascular events in general practice. Hypertension. 2019;73:1240–8.

    CAS  Google Scholar 

  63. Mokwatsi GG, Hoshide S, Kanegae H, Fujiwara T, Negishi K, Schutte AE, et al. Direct comparison of home versus ambulatory defined nocturnal hypertension for predicting cardiovascular events: the Japan Morning Surge-Home Blood Pressure (J-HOP) Study. Hypertension. 2020;76:554–61.

    CAS  PubMed  Google Scholar 

  64. Kario K, Hoshide S, Nagai M, Okawara Y, Kanegae H. Sleep and cardiovascular outcomes in relation to nocturnal hypertension: the J-HOP Nocturnal Blood Pressure Study. Hypertens Res. 2021;44:1589–96.

    CAS  PubMed  Google Scholar 

  65. Kario K, Tomitani N, Iwashita C, Shiga T, Kanegae H. Simultaneous self-monitoring comparison of a supine algorithm-equipped wrist nocturnal home blood pressure monitoring device with an upper arm device. J Clin Hypertens. 2021;23:793–801.

    CAS  Google Scholar 

  66. Tomitani N, Hoshide S, Kario K. Accurate nighttime blood pressure monitoring with less sleep disturbance. Hypertens Res. 2021;44:1671–3.

    PubMed  Google Scholar 

  67. Tomitani N, Kanegae H, Kario K. Comparison of nighttime measurement schedules using a wrist-type nocturnal home blood pressure monitoring device. J Clin Hypertens. 2021;23:1144–9.

    Google Scholar 

  68. Tomitani N, Kanegae H, Kario K. Reproducibility of nighttime home blood pressure measured by a wrist-type nocturnal home blood pressure monitoring device. J Clin Hypertens. 2021;23:1872–8.

    Google Scholar 

  69. Kario K, Tomitani N, Nishizawa M, Harada N, Kanegae H, Hoshide S. Concept, study design, and baseline blood pressure control status of the nationwide prospective HI–JAMP study using multisensor ABPM. Hypertens Res. 2023;46:357–67.

  70. Tomitani N, Hoshide S, Kario K. Diagnostic agreement of masked uncontrolled hypertension detected by ambulatory blood pressure and home blood pressure measured by an all-in-one BP monitoring device: the HI-JAMP study. Hypertens Res. 2023;46:157–64.

  71. Kario K, Hoshide S, Tomitani N, Nishizawa M, Yoshida T, Kabutoya T, et al. Inconsistent control status of office, home, and ambulatory blood pressure all taken using the same device: the HI-JAMP study baseline data. Am J Hypertens. 2023;36:90–101.

  72. Kario K, Shimbo D, Tomitani N, Kanegae H, Schwartz JE, Williams B. The first study comparing a wearable watch-type blood pressure monitor with a conventional ambulatory blood pressure monitor on in-office and out-of-office settings. J Clin Hypertens. 2020;22:135–41.

    Google Scholar 

  73. Kario K, Tomitani N, Morimoto T, Kanegae H, Lacy P, Williams B. Relationship between blood pressure repeatedly measured by a wrist-cuff oscillometric wearable blood pressure monitoring device and left ventricular mass index in working hypertensive patients. Hypertens Res. 2022;45:87–96.

    Google Scholar 

  74. Tomitani N, Kanegae H, Kario K. Self-monitoring of psychological stress-induced blood pressure in daily life using a wearable watch-type oscillometric device in working individuals with hypertension. Hypertens Res. 2022;45:1531–7.

    PubMed  Google Scholar 

  75. Tomitani N, Kanegae H, Suzuki Y, Kuwabara M, Kario K. Stress-induced blood pressure elevation self-measured by a wearable watch-type device. Am J Hypertens. 2021;34:377–82.

    PubMed  Google Scholar 

  76. Ota Y, Kokubo A, Yamashita S, Kario K. Development of small and lightweight beat-by-beat blood pressure monitoring device based on tonometry. Annu Int Conf IEEE Eng Med Biol Soc. 2021;2021:5455–8.

    PubMed  Google Scholar 

  77. Kokubo A, Kuwabara M, Nakajima H, Tomitani N, Yamashita S, Shiga T, et al. Automatic detection algorithm for establishing standard to identify "surge blood pressure". Med Biol Eng Comput. 2020;58:1393–404.

    PubMed  PubMed Central  Google Scholar 

  78. Kokubo A, Kuwabara M, Ota Y, Tomitani N, Yamashita S, Shiga T, et al. Nocturnal blood pressure surge in seconds is a new determinant of left ventricular mass index. J Clin Hypertens. 2022;24:271–82.

    CAS  Google Scholar 

  79. Schutte AE, Kollias A, Stergiou GS. Blood pressure and its variability: classic and novel measurement techniques. Nat Rev Cardiol. 2022;19:643–54.

    PubMed  PubMed Central  Google Scholar 

  80. Stergiou GS, Mukkamala R, Avolio A, Kyriakoulis KG, Mieke S, Murray A, et al. Cuffless blood pressure measuring devices: review and statement by the European Society of Hypertension Working Group on Blood Pressure Monitoring and Cardiovascular Variability. J Hypertens. 2022;40:1449–60.

    CAS  PubMed  Google Scholar 

  81. Hoshide S, Yoshihisa A, Tsuchida F, Mizuno H, Teragawa H, Kasai T, et al. Pulse transit time-estimated blood pressure: a comparison of beat-to-beat and intermittent measurement. Hypertens Res. 2022;45:1001–7.

    PubMed  PubMed Central  Google Scholar 

  82. Kario K. Home blood pressure monitoring: current status and new developments. Am J Hypertens. 2021;34:783–94.

    PubMed  PubMed Central  Google Scholar 

Download references

Acknowledgements

Editing assistance was provided by Ayako Okura, an editorial assistant, Jichi Medical University, and Nicola Ryan, independent medical writer, funded by Jichi Medical University. The authors thank Viatris for the grant to support the HOPE Asia Network writing activity.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Kazuomi Kario.

Ethics declarations

Conflict of interest

KK reports funded/joint research fees and lecture fees from Omron Healthcare, A&D; and research fees from Fukuda Denshi. YL reports having received research grants from A&D, Bayer, Omron, Salubris and Shyndec, and lecture fees from A&D, Omron, Servier, Salubris and Shyndec. J-GW reports having received lecture and consulting fees from A&D, Novartis, Omron, Servier, and Viatris. CY-C has received unrestricted educational grants from Viatris and Omron and from Medtronic for activities of the Malaysian Society for World Action on Salt, Sugar and Health (MyWASSH) CYC also has received speaker honoraria from Medtronic, Astra-Zeneca, Omron, Viatris and Xepa-Sol. JS has received honoraria and sponsorship to attend seminars from Daiichi Sankyo, Menarini, Organon, Bristol-Myers Squibb, and Sanofi. C-HC reports Honoraria from Novartis and Daiichi Sankyo outside the submitted work. H-MC served as a speaker or member of speakers bureau AstraZeneca; Pfizer Inc.; Bayer AG; Boehringer Ingelheim Pharmaceuticals, Inc.; Daiichi Sankyo, Novartis Pharmaceuticals, Inc.; SERVIER; Co., Pharmaceuticals Corporation; Sanofi; TAKEDA Pharmaceuticals International; Eli Lilly; Received grants for clinical research from Microlife Co., Ltd. SS has received honoraria from Bayer, Getz Pharma, Novartis, Pfizer, ICI, and Servier; and travel, accommodation, and conference registration support from Hilton Pharma, Atco Pharmaceutical, Highnoon Laboratories, Horizon Pharma and ICI. MPS is supported by an NHMRC Research Fellowship and has received consulting fees, and/or travel and research support from Metavention, Medtronic, Abbott, Novartis, Servier, Pfizer, and Boehringer-Ingelheim.

Additional information

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

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Kario, K., Tomitani, N., Wang, TD. et al. Home blood pressure-centered approach – from digital health to medical practice: HOPE Asia Network consensus statement 2023. Hypertens Res 46, 2561–2574 (2023). https://doi.org/10.1038/s41440-023-01397-6

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/s41440-023-01397-6

Keywords

This article is cited by

Search

Quick links