Revolutionizing Hypertension Management: AI-Powered Precision Medicine Approaches
DOI:
https://doi.org/10.37285/ijpsn.2024.17.6.8Abstract
Precision medicine, also known as personalized medicine, represents a promising paradigm shift in hypertension management Precision medicine endeavours to improve treatment effectiveness and reduce adverse effects by customizing therapies to individual patients, considering their distinct characteristics and genetic makeup. Over the past few years, the incorporation of artificial intelligence (AI) into hypertension therapy has significantly advanced the principles of precision medicine, revolutionizing the assessment, monitoring, and control of high blood pressure. This review delves into the theoretical underpinnings of precision medicine in hypertension treatment, elucidating the pivotal role of AI in optimizing patient care. Moreover, it evaluates the potential benefits and drawbacks associated with the adoption of these innovative approaches. The aim of this review is to offer a thorough insight into how precision medicine, empowered by artificial intelligence, is transforming the landscape of hypertension management. Ultimately, this exploration aims to underscore the ground-breaking potential of AI in fundamentally changing the approach to hypertension treatment, offering insights into future directions for research and clinical practice.
Downloads
Metrics
Keywords:
Hypertension, Precision Medicine, Artificial Intelligence, Personalized Medicine, High Blood Pressure, Medicinal ToolsPublished
How to Cite
Issue
Section
References
Zhou B, Bentham J, Di Cesare M, Bixby H, Danaei G, Cowan MJ, et al. Worldwide trends in blood pressure from 1975 to 2015: a pooled analysis of 1479 population-based measurement studies with 19·1 million participants. The Lancet. 2017 Jan;389(10064):37–55.
Matthew R Alexander MP. Hypertension Treatment & Management. Medscape; 2022:123-156.
Gupta R, Guptha S. Strategies for initial management of hypertension. The Indian journal of medical research. 2010 Nov;132(5):531.
Loscalzo J. Precision Medicine: A New Paradigm for Diagnosis and Management of Hypertension? Vol. 124, Circulation Research. Lippincott Williams and Wilkins; 2019: 987–9.
Turner ST, Schwartz GL, Boerwinkle E. Personalized medicine for high blood pressure. Hypertension. 2007 Jul;50(1):1–5.
Nitzan M, Nitzan I. Feasibility of Precision Medicine in Hypertension Management—Scope and Technological Aspects. Journal of Personalized Medicine. 2022 Nov 7;12(11):1861.
Blumenthal JA, Hinderliter AL, Smith PJ, Mabe S, Watkins LL, Craighead L, et al. Effects of Lifestyle Modification on Patients with Resistant Hypertension: Results of the TRIUMPH Randomized Clinical Trial. Circulation. 2021 Oct 12;144(15):1212–26.
Arena R, Ozemek C, Laddu D, Campbell T, Rouleau CR, Standley R, et al. Applying Precision Medicine to Healthy Living for the Prevention and Treatment of Cardiovascular Disease. Curr Probl Cardiol. 2018 Dec 1;43(12):448–83.
Visco V, Izzo C, Mancusi C, Rispoli A, Tedeschi M, Virtuoso N, Giano A, Gioia R, Melfi A, Serio B, Rusciano MR. Artificial Intelligence in Hypertension Management: An Ace up Your Sleeve. Journal of Cardiovascular Development and Disease. 2023 Feb 9;10(2):74.
Tsoi K, Yiu K, Lee H, Cheng HM, Wang TD, Tay JC, Teo BW, Turana Y, Soenarta AA, Sogunuru GP, Siddique S. Applications of artificial intelligence for hypertension management. The Journal of Clinical Hypertension. 2021 Mar;23(3):568-74.
Krittanawong C, Bomback AS, Baber U, Bangalore S, Messerli FH, Wilson Tang WH. Future direction for using artificial intelligence to predict and manage hypertension. Current hypertension reports. 2018 Sep; 20:1-6.
Savoia C, Volpe M, Grassi G, Borghi C, Agabiti Rosei E, Touyz RM. Personalized medicine—a modern approach for the diagnosis and management of hypertension. Clinical science. 2017 Nov 6;131(22):2671-85.
Gray ID, Kross AR, Renfrew ME, Wood P. Precision medicine in lifestyle medicine: the way of the future? American Journal of Lifestyle Medicine. 2020 Mar;14(2):169-86.
Kim H, Caulfield LE, Garcia‐Larsen V, Steffen LM, Coresh J, Rebholz CM. Plant‐based diets are associated with a lower risk of incident cardiovascular disease, cardiovascular disease mortality, and all‐cause mortality in a general population of middle‐aged adults. Journal of the American Heart Association. 2019 Aug 20;8(16): e012865.
Severin R, Sabbahi A, Mahmoud AM, Arena R, Phillips SA. Precision medicine in weight loss and healthy living. Progress in cardiovascular diseases. 2019 Jan 1;62(1):15- 20.
Padmanabhan S, Joe B. Towards precision medicine for hypertension: a review of genomic, epigenomic, and microbiomic effects on blood pressure in experimental rat models and humans. Physiological reviews. 2017 Oct 1;97(4):1469-528.
Sapiña E, Torres G, Barbé F, Sánchez-de-la-Torre M. The use of precision medicine to manage obstructive sleep apnea treatment in patients with resistant hypertension: current evidence and future directions. Current hypertension reports. 2018 Jul; 20:1-7.
Kronish IM, Cheung YK, Shimbo D, Julian J, Gallagher B, Parsons F, Davidson KW. Increasing the precision of hypertension treatment through personalized trials: a pilot study. Journal of general internal medicine. 2019 Jun 15; 34:839-45.
Padmanabhan S, Tran TQ, Dominiczak AF. Artificial intelligence in hypertension: seeing through a glass darkly. Circulation Research. 2021 Apr 2;128(7):1100-18.
Austin ED, Loyd JE. Toward precision medicine in pulmonary arterial hypertension. American Journal of Respiratory and Critical Care Medicine. 2015 Dec 1;192(11):1272-4.
Alowais SA, Alghamdi SS, Alsuhebany N, Alqahtani T, Alshaya AI, Almohareb SN, Aldairem A, Alrashed M, Bin Saleh K, Badreldin HA, Al Yami MS. Revolutionizing healthcare: the role of artificial intelligence in clinical practice. BMC medical education. 2023 Sep 22;23(1):689.
Kanegae H, Suzuki K, Fukatani K, Ito T, Harada N, Kario K. Highly precise risk prediction model for new-onset hypertension using artificial intelligence techniques. Journal of Clinical Hypertension.2019 Dec 9; 22: 445–450.
Ye C, Fu T, Hao S, Zhang Y, Wang O, et al. Prediction of Incident Hypertension Within the Next Year: Prospective Study Using Statewide Electronic Health Records and Machine Learning. Journal of Medical Internet Research. 2018 Jan 30; 20(1): e22
Golino H, Amaral L, Duarte S, Gomes C, et al. Predicting increased blood pressure using machine learning. Journal of Obesity. 2014 Jan 23; 2014: 1-12.
Bilkey GA, Burns BL, Coles EP, Mahede T, Baynam G, Nowak KJ. Optimizing precision medicine for public health. Frontiers in public health. 2019 Mar 7; 7:42.
Kario K. Management of hypertension in the digital era: small wearable monitoring devices for remote blood pressure monitoring. Hypertension. 2020 Sep;76(3): 640–50.
Konstantinidis D, Iliakis P, Tatakis F, Thomopoulos K, Dimitriadis K, Tousoulis D, Tsioufis K. Wearable blood pressure measurement devices and new approaches in hypertension management: the digital era. Journal of Human Hypertension. 2022 Nov;36(11):945-51.
Hare AJ, Chokshi N, Adusumalli S. Novel digital technologies for blood pressure monitoring and hypertension management. Current Cardiovascular Risk Reports. 2021 Aug;15(8):11.
Dzau VJ, Ginsburg GS. Realizing the full potential of precision medicine in health and health care. Jama. 2016 Oct 25;316(16):1659-60.
Milani RV, Lavie CJ, Ventura HO. New aspects in the management of hypertension in the digital era. Current Opinion in Cardiology. 2021 Jul 1;36(4):398-404.
Biswas S, Hasija Y. Big data analytics in precision medicine. InBig Data Analytics for Healthcare 2022 Jan 1. Academic Press; 63-72.
Johnson KB, Wei WQ, Weeraratne D, Frisse ME, Misulis K, Rhee K, Zhao J, Snowdon JL. Precision medicine, AI, and the future of personalized health care. Clinical and translational science. 2021 Jan;14(1):86-93.
Johnson KB, Wei WQ, Weeraratne D, Frisse ME, Misulis K, Rhee K, Zhao J, Snowdon JL. Precision medicine, AI, and the future of personalized health care. Clinical and translational science. 2021 Jan;14(1):86-93.
Suwinski P, Ong C, Ling MH, Poh YM, Khan AM, Ong HS. Advancing personalized medicine through the application of whole exome sequencing and big data analytics. Frontiers in genetics. 2019 Feb 12; 10:49.
Tuena C, Semonella M, Fernández-Álvarez J, Colombo D, Cipresso P. Predictive precision medicine: towards the computational challenge. P5 eHealth: An Agenda for the Health Technologies of the Future. 2020:71-86.
Hulsen T, Jamuar SS, Moody AR, Karnes JH, Varga O, Hedensted S, Spreafico R, Hafler DA, McKinney EF. From big data to precision medicine. Frontiers in medicine. 2019 Mar 1; 6:34.
Ginsburg GS, Phillips KA. Precision medicine: from science to value. Health affairs. 2018 May 1;37(5):694-701. 38. Maggi E, Patterson NE, Montagna C. Technological advances in precision medicine and drug development. Expert review of precision medicine and drug development. 2016 May 3;1(3):331-43.
Kotchen TA, Cowley AW, Liang M. Ushering hypertension into a new era of precision medicine. Jama. 2016 Jan 26;315(4):343-4.
Streeter Jr OE. Precision Medicine. Precision Medicine: A Multidisciplinary Approach: Clinics Collections. 2020 Dec 18; 8:29-37.
Duffy DJ. Problems, challenges and promises: perspectives on precision medicine. Briefings in bioinformatics. 2016 May 1;17(3):494-504.
Salgado R, Moore H, Martens JW, Lively T, Malik S, McDermott U, Michiels S, Moscow JA, Tejpar S, McKee T, Lacombe D. Societal challenges of precision medicine: bringing order to chaos. European Journal of Cancer. 2017 Oct 1; 84:325-34.
Salgado R, Moore H, Martens JW, Lively T, Malik S, McDermott U, Michiels S, Moscow JA, Tejpar S, McKee T, Lacombe D. Societal challenges of precision medicine: bringing order to chaos. European Journal of Cancer. 2017 Oct 1; 84:325-34.
Stiles D, Appelbaum PS. Cases in precision medicine: concerns about privacy and discrimination after genomic sequencing. Annals of internal medicine. 2019 May 21;170(10):717-21.
Mark D. Rasch. Privacy and Security in the World of Precision Medicine. GPSolo Books. 2021. p. 55.
Carey RM, Muntner P, Bosworth HB, Whelton PK. Prevention and control of hypertension: JACC health promotion series. Journal of the American College of Cardiology. 2018 Sep 11;72(11):1278-93.
Okada M. Big data and real-world data-based medicine in the management of hypertension. Hypertens Research. 2021; 44:147–53.
Langan SM, Schmidt SA, Wing K, Ehrenstein V, Nicholls SG, Filion KB, Klungel O, Petersen I, Sorensen HT, Dixon WG, Guttmann A. The reporting of studies conducted using observational routinely collected health data statement for pharmacoepidemiology (RECORD-PE). bmj. 2018 Nov 14;363.
Gupta NS, Kumar P. Perspective of artificial intelligence in healthcare data management: A journey towards
precision medicine. Comput Biol Med. 2023 Aug; 162:107051.
Chiang KL, Huang CY. Precision Medicine and Telemedicine. InSpringer Handbook of Automation 2023 Jun 17 (pp. 1249-1263). Cham: Springer International Publishing.
Tarumi, S., Takeuchi, W., Chalkidis, G., Rodriguez-Loya, S., Kuwata, J., Flynn, M., Turner, K.M., Sakaguchi, F.H., Weir, C., Kramer, H. and Shields, D.E., 2021. Leveraging artificial intelligence to improve chronic disease care: methods and application to pharmacotherapy decision support for type-2 diabetes mellitus. Methods of Information in Medicine,60; e32-e43.
Ahmad T, Lund LH, Rao P, Ghosh R, Warier P, Vaccaro B, Dahlström U, O’Connor CM, Felker GM, Desai NR. Machine learning methods improve prognostication, identify clinically distinct phenotypes, and detect heterogeneity in response to therapy in a large cohort of heart failure patients. Journal of the American Heart Association. 2018 Apr 12;7(8):8081-8234.
Blasiak A, Khong J, Kee T. Curate. AI: optimizing personalized medicine with artificial intelligence. Slas technology: Translating Life Sciences Innovation. 2020 Apr;25(2):95-105.
Zanchetti A, Thomopoulos C, Parati G. Randomized controlled trials of blood pressure lowering in hypertension: a critical reappraisal. Circulation research. 2015 Mar 13;116(6):1058-73.
Lu Y, Huang C, Liu Y, Caraballo C, Mahajan S, Massey D, Spatz ES, Onuma O, Ross JS, Schulz WL, Krumholz HM. Medication Guideline Adherence Among Patients with Markedly Elevated Blood Pressure in A Real-World Setting. medRxiv. 2022 Feb 17:2022-02.
Rojek I, Kotlarz P, Kozielski M, Jagodziński M, Królikowski Z. Development of AI-Based Prediction of Heart Attack Risk as an Element of Preventive Medicine. Electronics. 2024 Jan 7;13(2):272.
