An observational study in Haemophilia and Cardiovascular Diseases, sponsored by Oxford University Hospitals NHS Trust. Recruiting at 1 site in United Kingdom. Open to male participants aged 45 Years to 120 Years. Per ClinicalTrials.gov, last updated 2026-11-06.
Sponsored by Oxford University Hospitals NHS Trust · Observational
The investigators will use state-of-the-art imaging to look at heart disease in people with haemophilia. Haemophilia is an inherited disorder in which blood does not clot properly because of lack of a key 'glue' blood component (chemicals known as factor VIII or IX). People with haemophilia are 40% less likely to die of heart disease, but it is not known exactly why this is. Understanding heart disease in people with haemophilia is important because better treatments for haemophilia mean that these patients are now living longer, but doctors still don't know if the risk for heart disease in these patients as they age is the same as that for the general population. If these processes are better understand (perhaps less blood clotting is actually protecting the heart from blockage-causing clots), scientists might be able to reduce the risk of heart attacks for everybody.
The UK's first photon-counting detector cardiac CT scanner generates detailed images of the heart and its blood vessels by counting individual X-ray photons. Together with artificial intelligence tools, it is possible to extract a lot of information from these images. As people age, fat is deposited in the vessels which supply blood to the heart which forms plaques. Plaques cause narrowing of the vessels, reducing blood flow to the heart, and can also burst (rupture), leading to a blood clot and heart attack. The new CT scan will show the type and amount of plaques, and quantify the risk of plaque rupture, in people with haemophilia; and the investigators will compare this to people without haemophilia.
Understanding the role of factor VIII/IX in heart attacks will improve management of heart disease in people with haemophilia, and may also lead to new prevention and treatment strategies that benefit heart health for everyone.
Background and Rationale
Haemophilia, ageing and cardiovascular disease It is only relatively recently, due to the development of both effective and safe replacement therapies, that there is an aging population with haemophilia. This represents new challenges with respect to managing comorbidities. Cardiovascular disease (CVD) is the leading cause of death globally in the general population, and as people with haemophilia (PWH) age they are also at risk of developing CVD which poses particular challenges due to the opposing risks of bleeding, from haemophilia and antithrombotic treatments, versus thrombosis. Better understanding of the risks of atherosclerosis in PWH is crucial in order to best support aging PWH; and it has been identified as a research priority by patients and healthcare professionals.
Although mortality from cardiovascular disease in PWH has historically been about 40% less than the general population, it remains unclear whether this is because people with haemophilia develop atherosclerosis more slowly than the general population or whether deficiency of FVIII/FIX protects from formation of an occlusive thrombus at time of atherosclerotic plaque rupture. As FVIII is produced and stored within endothelial cells lining the blood vessels and FIX is produced in the liver, it may also be that FVIII and FIX deficiencies have different effects on the rates of atherosclerosis.
The most informative studies of atherosclerosis in PWH to-date used ultrasound to measure carotid and femoral intima-media thickness and computed tomography (CT) to derive coronary artery calcium scores. The first study measured carotid and femoral intima-media thickness (IMT) and brachial flow-mediated dilatation (FMD) as markers of atherosclerosis and endothelial dysfunction respectively in 51 obese PWH, and 42 obese and 50 matched non-obese male patients. All the PWH had haemophilia A (33% severe, moderate 16%, mild 50%), HIV was excluded, and the mean age was 50 +/-13 years. Carotid IMT was increased in obese as compared with non-obese subjects, but no difference was found in mean carotid and femoral IMT between obese PWH and obese control individuals. Thirty-five per cent of the obese PWH and 29% of the obese controls had an atherosclerotic plaque, irrespective of the severity of haemophilia. Brachial FMD was comparable between obese PWH and obese controls. The second study evaluated the presence and extent of atherosclerosis by coronary artery calcification score (CACS) derived from computed tomography and carotid IMT in 69 PWH (51 haemophilia A, 18 haemophilia B; 40% severe, 11% moderate, 49% mild). This again showed that CACS and carotid IMT were similar to controls and that the extent of atherosclerosis was related to traditional cardiovascular risk factors. Although these studies suggest PWH develop atherosclerosis at a similar rate to the general population; they are severely limited by the quality of the imaging techniques, patient numbers and relatively young patient age (average 50 years).
Cardiology guidelines recommend using a risk score to calculate cardiovascular risk over time and engaging patients in discussing modifiable risk factors. These scores have been used in PWH. A Dutch/UK cohort used both the QRISK(R)2 and SCORE algorithms. The predicted 10-year QRISK(R)2 risk was significantly higher in PWH than in the general population (8.9 vs. 6.7%), indicating more unfavourable cardiovascular risk profiles; and the increased risk became apparent after the age of 40 years. In contrast a study of 100 PWH in Europe compared to 200 aged-matched controls, found no significant difference in the 10-year cardiovascular mortality risk >10% between PWH and controls using SCORE. Other studies have looked at individual cardiac risk factors and PWH had higher rates of hypertension than expected for the general population. Critically whether the cardiac risk algorithm conveys the same actual CVD risk and is valid in PWH is not known.
Oxford University Hospitals has the ability to explore CVD risk and atherosclerosis in haemophilia with a proof of concept project due to having both a large haemophilia centre and the only UK photon-counting cardiac CT scanner.
Photon-counting cardiac CT
Coronary computed tomography angiography (CCTA) is a sensitive and widely used, non-invasive imaging modality for diagnosing coronary artery disease (CAD) and recent clinical guidelines have expanded its use as a first-line diagnostic tool in the management of chest pain of recent onset, suggestive of typical/atypical angina or non-anginal chest pain with electrocardiographic changes.
However, conventional CCTA identifies only anatomically significant coronary artery stenoses which are found in \<50% of all patients referred for this test. Importantly, the majority of acute coronary syndromes are caused by unstable but non-obstructive atherosclerotic plaques, which cannot be identified by conventional CCTA or other non-invasive diagnostic tests detecting coronary luminal stenosis or stress-induced myocardial ischaemia. In the normal population, early detection of cardiovascular disease and subsequent optimisation has been associated with reduced cardiovascular mortality.
This has led to the development by our study investigators of the perivascular fat attenuation index (FAI or FAIPVAT), a novel imaging biomarker which detects vascular inflammation in the human coronary arteries using images from routine CCTA scans and is predictive of cardiovascular risk. The FAI relies on the discovery that inflammatory signals released by the diseased coronary artery, inhibit adipogenesis and trigger lipolysis in the perivascular adipose tissue (PVAT), shifting perivascular CT attenuation from the lipid towards that of the aqueous phase. Vascular inflammation is a driver of coronary atherosclerotic plaque formation, and a characteristic feature of atherosclerotic plaque rupture, leading to acute coronary syndromes including myocardial infarction. The causal role of inflammation in vascular disease pathogenesis has recently been documented by the CANTOS trial, which demonstrated that specific targeting of residual inflammatory risk improves clinical outcomes.
In the CRISP-CT study, recently published in the Lancet, our investigators demonstrated that FAIPVAT predicts all-cause and cardiac mortality over and above clinical risk factors and the current interpretation of CCTA. These findings are validated in two large and substantially different "real-life" prospective cohorts of patients undergoing clinically-indicated CCTA, one in Europe and the other in the United States, demonstrating similar predictive value.
Oxford University Hospitals has a newly-installed state of the art, photon-counting CT scanner, capable of performing CCTA to assess atherosclerotic burden and peri-vascular FAI. By incorporating an updated detector, single photons can be converted directly into electrical signals, removing the need for a two-step conversion process which is used in conventional CT scanners. This allows for higher resolution images than conventional CT at a given radiation exposure and therefore offers the opportunity to assess in detail the cardiovascular risk associated with haemophilia.
Oxford Haemophilia Centre
The Oxford Haemophilia Centre is one of the largest in the UK. The haemophilia team look after 190 PWH over the age of 40 years (range 40-88 years), of which 146 are over the age of 45 years, and 117 over the age of 50 years. Of PWH >45 years: 45 have severe haemophilia, 14 moderate haemophilia, 87 mild haemophilia; 77% have haemophilia A. Comorbidities are common and approximately 50% have hypertension and 7% atrial fibrillation. In those >65years, 6% have known ischaemic heart disease, 6% history of ischaemic stroke, and 4% peripheral vascular disease.
In order to help answer the question of whether PWH develop atherosclerosis at a similar rate to the general population with similar known cardiac risk factors, and whether there is a difference in the stability of the plaques, the investigators will use this state-of-the-art cardiac imaging technique to look in detail at atherosclerosis in aging patients with haemophilia and compare how this imaging data correlates with standard cardiovascular risk scores such as QRISK. As a comparison to general population, imaging data and standard cardiovascular risk factors will be compared to anonymised control scans from other studies at the University of Oxford with matching for age, gender, and exposure to cardiovascular risk factors (smoking, hypertension, high cholesterol, diabetes, family history). These data could pave the way for future multi-centre clinical studies with increased numbers of PWH (especially through close regional haemophilia centres and potentially reducing age of screening), extension to other common bleeding disorders such as von Willebrand disease, and ultimately impact on clinical care for people with bleeding disorders (cardiac screening); as well as further translational research studies into the role of factor VIII and factor IX in the pathogenesis of atherosclerosis.
844 studies on the registry are indexed under Hemophilia A; 138 are open to participants now.
This study's planned enrollment of 80 is close to the median of 81 across 310 observational studies indexed under Hemophilia A.
Browse Hemophilia A studies →Oxford University Hospitals NHS Trust is the lead sponsor of 94 studies on the registry; 7 are open to participants now.
Counted across the registry records on this site, refreshed daily.
Participants must have a diagnosis of haemophilia A or B. Participants must be 45 years or older.
Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.
Exclusion Criteria:
Patients with absolute to CT imaging will be excluded from the study. This includes:
Underlined terms in the criteria open these too. Explained by clinicaltrials.gg, not part of the registry record. The study team decides who can take part.
Before you join, the study team explains what taking part involves — its purpose, what happens, the risks and possible benefits — and answers your questions, so you can decide freely. Consent is usually recorded on a form (the informed consent form, ICF) signed by you or, where the law allows, by someone legally authorised to decide for you.
You can keep asking questions during the study, you are told of new information that matters, and you can choose to leave at any time.
A reason a treatment, test or procedure should not be given to a particular person, such as an allergy, another illness or a medicine they take.
GFR (glomerular filtration rate) is how much blood the kidneys filter each minute. It is usually estimated from a blood test — eGFR, by formulas such as CKD-EPI or MDRD — and some studies ask for it to be measured directly instead. Usually given in mL/min/1.73 m².
Check the method, the units and the minimum the study states. A value of 90 or above is in the normal-or-high range, but kidney damage can show in other tests too.
Informed consent
Before you join, the study team explains what taking part involves — its purpose, what happens, the risks and possible benefits — and answers your questions, so you can decide freely. Consent is usually recorded on a form (the informed consent form, ICF) signed by you or, where the law allows, by someone legally authorised to decide for you.
You can keep asking questions during the study, you are told of new information that matters, and you can choose to leave at any time.
Explained by clinicaltrials.gg, not part of the registry record. The study team decides who can take part.
Contraindication
A reason a treatment, test or procedure should not be given to a particular person, such as an allergy, another illness or a medicine they take.
Explained by clinicaltrials.gg, not part of the registry record. The study team decides who can take part.
GFR and eGFR (kidney filtering)
GFR (glomerular filtration rate) is how much blood the kidneys filter each minute. It is usually estimated from a blood test — eGFR, by formulas such as CKD-EPI or MDRD — and some studies ask for it to be measured directly instead. Usually given in mL/min/1.73 m².
Check the method, the units and the minimum the study states. A value of 90 or above is in the normal-or-high range, but kidney damage can show in other tests too.
Explained by clinicaltrials.gg, not part of the registry record. The study team decides who can take part.
Observational clinical trial. Participants will undergo cardiovascular risk assessment (clinical and blood tests) and coronary CT angiogram. These results will be compared to a control population without haemophilia (recruited as part of a different clinical trial).
Occurrence of coronary artery disease detected by coronary CT angiogram among people with haemophilia (PWH) versus control group.
This is the primary outcome within the primary objective 'to determine whether coronary artery disease (presence of atherosclerotic plaques, type, burden, fat attenuation index (FAI)) in PWH is similar to the control population matched for standard cardiac risk factors.'
Time frame: Participant demographics and cardiovascular risk factors to be collected at enrolment for matching PWH and control group. Photon counting CCTA to be performed at enrolment for prevalence of CAD, and quantitative analyses in the secondary outcome.
Quantitative analysis of the volume of each plaque component (calcified, non-calcified, low-density plaques) among people with haemophilia (PWH) compared to control group.
This is the secondary outcome within the primary objective 'To determine whether coronary artery disease (presence of atherosclerotic plaques, type, burden, FAI) in PWH is similar to the control population matched for standard cardiac risk factors.'
Time frame: Participant demographics and cardiovascular risk factors to be collected at enrolment for matching PWH and control group. Photon counting CCTA to be performed at enrolment for prevalence of CAD, and quantitative analyses in the secondary outcome.
Quantitative analysis of fat attenuation index (FAI) among PWH compared to control group.
This is the secondary outcome within the primary objective 'To determine whether coronary artery disease (presence of atherosclerotic plaques, type, burden, FAI) in PWH is similar to the control population matched for standard cardiac risk factors.'
Time frame: Participant demographics and cardiovascular risk factors to be collected at enrolment for matching PWH and control group. Photon counting CCTA to be performed at enrolment for prevalence of CAD, and quantitative analyses in the secondary outcome.
Secondary Objectives (1a): Subgroup analysis to evaluate the influence of haemophilia severity and type on the occurrence of coronary artery disease as detected by CCTA.
Occurrence of coronary artery disease detected by CCTA among PWH vs control group.
Time frame: Participant demographics and cardiovascular risk factors to be collected at enrolment for matching PWH and control group. Photon counting CCTA to be performed at enrolment for prevalence of CAD, and quantitative analyses in the secondary outcome.
Secondary Objectives (1b): Subgroup analysis to evaluate the influence of haemophilia severity and type on the volume of each plaque component.
Quantitative analysis of the volume of each plaque component (calcified, non-calcified, low-density plaques)
Time frame: Participant demographics and cardiovascular risk factors to be collected at enrolment for matching PWH and control group. Photon counting CCTA to be performed at enrolment for prevalence of CAD, and quantitative analyses in the secondary outcome.
Secondary Objectives (1c): Subgroup analysis to evaluate the influence of haemophilia severity and type on the fat attenuation index (FAI).
Quantitative analysis of fat attenuation index (FAI) Score for quantification of coronary inflammation.
Time frame: Participant demographics and cardiovascular risk factors to be collected at enrolment for matching PWH and control group. Photon counting CCTA to be performed at enrolment for prevalence of CAD, and quantitative analyses in the secondary outcome.
Secondary Objectives (2) : To understand the underlying pathophysiological mechanisms and impact of haemophilia and atherosclerosis.
Inflammatory and prothrombotic blood biomarkers; comparison with CCTA results.
Time frame: Blood tests at enrolment for research analysis of inflammatory and prothrombotic biomarkers.
Secondary objectives (3): To assess actual cardiovascular events at 5 years, and model how this compares to general population risk prediction models.
Cardiac death and other major adverse cardiac events (ischaemic cardiac events (angina, acute coronary syndromes), new onset heart failure, stroke) will be collected for the haemophilia population and will be compared to the predicted 5 year event rate based on baseline QRISK/CCTA and the actual 5 year event rate of the control population.
Time frame: Review of clinical cardiovascular history 5 years after enrolment.
Plan to share: Undecided — Anonymised IPD will be available to researchers on request
No publications or documents are linked to this record.
From the registry record's own update history. This site started tracking changes on Sep 25, 2026; for anything earlier, see the record history on ClinicalTrials.gov ↗
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Oxford University Hospitals NHS Trust