Abstract
AIMS: Clinical guidelines often recommend treating individuals based on their cardiovascular risk. We revisit this paradigm and quantify the efficacy of three treatment strategies: (i) overall prescription, i.e. treatment to all individuals sharing the eligibility criteria of a trial; (ii) risk-stratified prescription, i.e. treatment only to those at an elevated outcome risk; and (iii) prescription based on predicted treatment responsiveness.
METHODS AND RESULTS: We reanalysed the PROSPER randomized controlled trial, which included individuals aged 70-82 years with a history of, or risk factors for, vascular diseases. We conducted the derivation and internal-external validation of a model predicting treatment responsiveness. We compared with placebo (n = 2913): (i) pravastatin (n = 2891); (ii) pravastatin in the presence of previous vascular diseases and placebo in the absence thereof (n = 2925); and (iii) pravastatin in the presence of a favourable prediction of treatment response and placebo in the absence thereof (n = 2890). We found an absolute difference in primary outcome events composed of coronary death, non-fatal myocardial infarction, and fatal or non-fatal stroke, per 10 000 person-years equal to: -78 events (95% CI, -144 to -12) when prescribing pravastatin to all participants; -66 events (95% CI, -114 to -18) when treating only individuals with an elevated vascular risk; and -103 events (95% CI, -162 to -44) when restricting pravastatin to individuals with a favourable prediction of treatment response.
CONCLUSION: Pravastatin prescription based on predicted responsiveness may have an encouraging potential for cardiovascular prevention. Further external validation of our results and clinical experiments are needed.
TRIAL REGISTRATION: ISRCTN40976937.
| Original language | English |
|---|---|
| Pages (from-to) | 945-953 |
| Number of pages | 9 |
| Journal | European Journal of Preventive Cardiology |
| Volume | 31 |
| Issue number | 8 |
| Early online date | 12 Dec 2023 |
| DOIs | |
| Publication status | Published - 3 Jun 2024 |
Funding
T.L.N. expresses his gratitude to Dr A. Rieckmann, Prof N.H. Rod, and Prof T. Lange for their initial input at the conceptualization stage of this research. J.H. acknowledges financial support from the Netherlands Organisation for Health Research and Development (grant 91215058). T.P.A.D. is supported by a project that received funding from the European Union's Horizon 2020 research and innovation programme under ReCoDID grant agreement no. 825746. N.S. is supported by British Heart Foundation Centre of Research Excellence grant RE/18/6/34217. R.G.J.W. is supported by a research grant of Novo Nordisk Fonden: 'Harnessing the Power of Big Data to Address the Societal Challenge of Aging [NNF17OC0027812]'.
| Funders | Funder number |
|---|---|
| University of Copenhagen | 91215058 |
| Netherlands Organisation for Health Research and Development | 825746 |
| European Union | RE/18/6/34217 |
| British Heart Foundation | NNF17OC0027812 |
| Novo Nordisk Foundation |
Keywords
- Age Factors
- Aged
- Aged, 80 and over
- Cardiovascular Diseases/prevention & control
- Decision Support Techniques
- Drug Prescriptions
- Female
- Heart Disease Risk Factors
- Humans
- Hydroxymethylglutaryl-CoA Reductase Inhibitors/therapeutic use
- Male
- Pravastatin/therapeutic use
- Risk Assessment
- Time Factors
- Treatment Outcome
- Prediction
- Cardiovascular prevention
- Statin
- Individualized treatment effect
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