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This study aims to find out whether people with chronic kidney disease [CKD] should take low dose aspirin to reduce the risk of first heart attack or stroke (cardiovascular disease [CVD]). CKD is common and is associated with an increased risk of CVD.
CVD is caused by small blood clots and aspirin thins the blood to reduce the risk of such clots developing but it also increases the risk of bleeding.
Aspirin is recommended to prevent further CVD in people who have already had a first CVD event (so called secondary prevention). Here the investigators want to study the use of aspirin as primary prevention in people with CKD who have not had a CVD to prevent the first event, to assess whether the potential benefits exceed the risks.
Eligible patients will be recruited from their United Kingdom (UK) general practices and allocated by chance to be prescribed once daily low dose aspirin or usual care only. Follow-up will be for several years both electronically (for general practice, hospital and mortality data) and by annual questionnaires to ascertain CVD and bleeding events.
Full description
Aim To test the hypothesis that the addition of 75mg aspirin once daily to usual care reduces the risk of major vascular events in patients with chronic kidney disease (CKD) who do not have pre-existing cardiovascular disease (CVD)
Design Open label, multi-centre randomised controlled trial
Setting UK general practices
Sample size 25,210 patients (12,605 per arm). A total of 1,827 major vascular events overall are required.
Eligibility Inclusion Criteria
Exclusion Criteria
Interventions Suitable participants will be randomised to receive: 75mg non-enteric coated or dispersible aspirin once daily in addition to their usual medication; or no additional treatment and avoidance of aspirin.
Duration The trial will continue until at least 1,827 adjudicated primary endpoint events (major vascular events) have occurred, or before if the trial is discontinued after the internal pilot or for any other reason. It is anticipated that at least 6 years of recruitment (taking account a recruitment pause for the Covid-19 pandemic) and 2.5 years of follow-up will be required to complete the trial.
Randomisation and blinding Eligible participants, based on results of routine blood and urine tests at screening, will be randomised (open label randomisation) 1:1 to general practitioner (GP) prescription of aspirin vs. no prescription, stratified by age, diabetes and CKD severity.
Follow-up Data on potential CVD and bleeding outcomes will be collected electronically from GP records and national hospitalisation and mortality records. Adjudication panels (for CVD and for bleeding) will asses the information blind to allocation.
Patients will complete an annual quality of life questionnaire (EQ5D).
Outcomes. Primary outcome measure
Time to first major vascular event from the date of randomisation. A major vascular event is defined as a primary composite outcome of non-fatal myocardial infarction (MI), non-fatal stroke and cardiovascular death (excluding confirmed intracranial haemorrhage and other fatal cardiovascular haemorrhage).
Secondary outcome measures (all time to event except quality of life)
Efficacy
Safety
Tertiary (exploratory) outcome measures (all time to event except hospitalisation)
Statistical methods The primary outcome measure of time to first major vascular event will be analysed for the intention-to-treat (ITT) population. Deaths from other causes (including fatal bleeding) will be treated as competing events. Patients who do not experience a major vascular event will be censored at the date of last follow-up.
All primary, secondary and tertiary time to event outcomes will be described using Kaplan-Meier curves or Cumulative Hazard plots for time to event outcomes involving competing risks for the ITT population. Analyses of time to event outcomes will be performed using Cox proportional hazards models or Competing Risk regression models, both unadjusted and adjusted for stratification factors: age, diabetes and CKD severity.
The adjusted Competing Risk regression model for time to first major vascular event, with deaths from other causes (including fatal bleeding) treated as competing events, and patients who do not experience a major vascular event censored, will form the primary endpoint analysis model.
Other secondary and tertiary endpoints will be assessed by arm using summary statistics (e.g. Pearson's χ² tests) in the ITT population.
The amount of missing data and reasons for the incompleteness will be explored and presented overall i.e. not by group. If the amount of missing data is deemed too high and if appropriate (i.e. assuming the missing data is either missing at random [MAR] or missing completely at random [MCAR] and censoring assumed to be non-informative), multiple imputation will be performed accordingly, for which all covariates included in the multivariable model, together with the censoring/event indicator and the cumulative baseline hazard will be included in the multiple imputation model.
Health economic analysis will also be undertaken.
Enrollment
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Inclusion and exclusion criteria
Inclusion Criteria:
Exclusion Criteria
Primary purpose
Allocation
Interventional model
Masking
25,210 participants in 2 patient groups
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Central trial contact
Diane Stevenson; Jennifer Dumbleton
Data sourced from clinicaltrials.gov
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