Back

Personalised approach to hypertension treatment: Rationale and design of the HYPERMARKER randomised trial

Chapman, M.; Knikman, J. E.; Mobley, A.; Lagerwaard, B.; Martinez-Garcia, F.; Zeitouny, S.; Engler, D.; Schnabel, R. B.; Spiering, W.; Bos, I. D.; Champsi, A.; Carter, A. W.; Hankemeier, T.; Grobbee, D. E.; Kotecha, D.; The HYPERMARKER Consortium,

2026-02-05 cardiovascular medicine
10.64898/2026.02.04.26345342 medRxiv
Show abstract

Background and ObjectiveBlood pressure treatment response is variable in individual patients, and the choice of medical therapy is often dependent on clinician experience. Treatment choices can be personalised by patient empowerment, metabolomic profiles and augmented by machine learning, but robust evaluation is lacking on how these can be combined to enhance clinical effectiveness. The HYPERMARKER trial will evaluate how an individualised choice of medication class can address the avoidable global health and economic burdens of hypertension. Design and InterventionThe HYPERMARKER trial is a proof-of-concept, pragmatic, multicentre, adaptive, open-label strategy trial embedded into routine clinical practice with stratified individual patient randomisation. The trial was co-designed with a patient and public involvement team. The intervention is a digital portal that supports shared decision making on hypertension therapy class using clinical features plus metabolomic profiles determined with liquid chromatography-mass spectrometry. Participants and OutcomesEligible patients are aged [≥]18yrs with a systolic blood pressure [≥]140mmHg and a clinical indication for antihypertensive therapy. 400 participants will be randomised to usual standard of care for treatment selection, or to the intervention group. Remote follow-up will occur through a patient smartphone application and linked blood pressure monitor to assess the primary outcome of change in home systolic blood pressure during a four-week period after medication changes. Secondary outcomes will include patient-reported adverse effects and quality of life, treatment withdrawal, healthcare utilisation and a health economic analysis. In the second phase of the trial, all participants will receive an updated version of the intervention, regardless of original randomised group. Ethics and DisseminationEthical approval will be obtained for all sites. Approval in England: North West - Greater Manchester West Research Ethics Committee (REC) (25/NW/0296). Trial results will be disseminated via peer-reviewed publications and plain language patient summaries. Trial registrationClinicaltrials.gov: NCT07294794; ISRCTN: ISRCTN29385951. STRENGTH AND LIMITATIONS OF THIS STUDYO_LIHypertension is a major cause of preventable morbidity and mortality, and this study aims to reduce those burdens through machine learning-based integration of metabolomics with clinical factors to enable better personalisation of blood pressure lowering therapy. C_LIO_LIThe HYPERMARKER trial was co-created with patient and public representatives, using digital technology with remote monitoring to facilitate a high level of shared care and patient empowerment. C_LIO_LIHYPERMARKER is a pragmatic proof-of-concept randomised trial designed to evaluate the potential for future pharmacometabolomic strategies to aid clinical decision-making. C_LI

Matching journals

The top 4 journals account for 50% of the predicted probability mass.

1
BMJ Open
554 papers in training set
Top 0.2%
35.0%
2
Circulation
66 papers in training set
Top 0.5%
6.9%
3
Pilot and Feasibility Studies
12 papers in training set
Top 0.1%
4.9%
4
Open Heart
19 papers in training set
Top 0.2%
4.9%
50% of probability mass above
5
PLOS ONE
4510 papers in training set
Top 33%
4.4%
6
The Lancet Digital Health
25 papers in training set
Top 0.2%
2.8%
7
British Journal of General Practice
22 papers in training set
Top 0.2%
2.8%
8
npj Digital Medicine
97 papers in training set
Top 2%
2.7%
9
Trials
25 papers in training set
Top 0.5%
2.5%
10
PLOS Medicine
98 papers in training set
Top 2%
2.1%
11
JMIR Research Protocols
18 papers in training set
Top 0.4%
2.1%
12
British Journal of Clinical Pharmacology
21 papers in training set
Top 0.2%
2.1%
13
Hypertension
32 papers in training set
Top 0.4%
1.9%
14
Nature Communications
4913 papers in training set
Top 50%
1.7%
15
BMC Medicine
163 papers in training set
Top 4%
1.5%
16
Circulation: Genomic and Precision Medicine
42 papers in training set
Top 0.8%
1.4%
17
European Heart Journal - Digital Health
15 papers in training set
Top 0.4%
1.4%
18
Frontiers in Cardiovascular Medicine
49 papers in training set
Top 2%
1.4%
19
BMC Cardiovascular Disorders
14 papers in training set
Top 1%
1.2%
20
Diabetes, Obesity and Metabolism
17 papers in training set
Top 0.3%
1.2%
21
Clinical Pharmacology & Therapeutics
25 papers in training set
Top 0.5%
1.1%
22
European Journal of Preventive Cardiology
13 papers in training set
Top 0.9%
0.8%
23
BJGP Open
12 papers in training set
Top 0.6%
0.8%
24
Wellcome Open Research
57 papers in training set
Top 2%
0.8%
25
Arteriosclerosis, Thrombosis, and Vascular Biology
65 papers in training set
Top 2%
0.8%
26
Cardiovascular Research
33 papers in training set
Top 1%
0.7%
27
Journal of the American Heart Association
119 papers in training set
Top 4%
0.5%