| 1. |
- Pennells, Lisa, et al.
(författare)
-
Equalization of four cardiovascular risk algorithms after systematic recalibration : individual-participant meta-analysis of 86 prospective studies
- 2019
-
Ingår i: European Heart Journal. - : Oxford University Press (OUP). - 0195-668X .- 1522-9645. ; 40:7, s. 621-
-
Tidskriftsartikel (refereegranskat)abstract
- Aims: There is debate about the optimum algorithm for cardiovascular disease (CVD) risk estimation. We conducted head-to-head comparisons of four algorithms recommended by primary prevention guidelines, before and after ‘recalibration’, a method that adapts risk algorithms to take account of differences in the risk characteristics of the populations being studied.Methods and results: Using individual-participant data on 360 737 participants without CVD at baseline in 86 prospective studies from 22 countries, we compared the Framingham risk score (FRS), Systematic COronary Risk Evaluation (SCORE), pooled cohort equations (PCE), and Reynolds risk score (RRS). We calculated measures of risk discrimination and calibration, and modelled clinical implications of initiating statin therapy in people judged to be at ‘high’ 10 year CVD risk. Original risk algorithms were recalibrated using the risk factor profile and CVD incidence of target populations. The four algorithms had similar risk discrimination. Before recalibration, FRS, SCORE, and PCE over-predicted CVD risk on average by 10%, 52%, and 41%, respectively, whereas RRS under-predicted by 10%. Original versions of algorithms classified 29–39% of individuals aged ≥40 years as high risk. By contrast, recalibration reduced this proportion to 22–24% for every algorithm. We estimated that to prevent one CVD event, it would be necessary to initiate statin therapy in 44–51 such individuals using original algorithms, in contrast to 37–39 individuals with recalibrated algorithms.Conclusion: Before recalibration, the clinical performance of four widely used CVD risk algorithms varied substantially. By contrast, simple recalibration nearly equalized their performance and improved modelled targeting of preventive action to clinical need.
|
|
| 2. |
- Khunti, Kamlesh, et al.
(författare)
-
Statin Use in Primary Prevention : A Simple Trial-Based Approach Compared With Guideline-Recommended Risk Algorithms for Selection of Eligible Patients
- 2019
-
Ingår i: Canadian Journal of Cardiology. - : ELSEVIER SCIENCE INC. - 0828-282X .- 1916-7075. ; 35:5, s. 644-652
-
Tidskriftsartikel (refereegranskat)abstract
- Background: Cardiovascular disease risk assessment tools help identify individuals likely to benefit from preventative therapies. In this study we compared outcomes using the American College of Cardiology/American Heart Association (ACC/AHA) risk algorithm and the Framingham Risk Score (FRS) tool in the Heart Outcomes Prevention Evaluation (HOPE)-3 study.Methods: We compared outcomes using the ACC/AHA algorithm and the FRS with those seen in HOPE-3, which randomized participants to 10 mg rosuvastatin or placebo. The first coprimary outcome was the composite of death from cardiovascular causes, nonfatal myocardial infarction, or nonfatal stroke; second coprimary outcome additionally included heart failure, cardiac arrest, and revascularization.Results: Relative risks using risk scores were similar to those observed in the HOPE-3. Hazards ratios for the first coprimary outcome according to risk categories of <= 10%, 10%-20%, and <= 20% using the ACC/AHA algorithm were 0.82 (95% confidence interval [CI], 0.53-1.28), 0.72 (95% CI, 0.53-0.96), and 0.72 (95% CI, 0.55-0.93), and absolute risk reduction (ARR) of 0.18%, 1.33%, and 1.85%, respectively, over a median of 5.6 years. Corresponding results using the FRS were 0.69 (95% CI, 0.36-1.35), 0.73 (95% CI, 0.52-1.01), and 0.75 (95% CI, 0.60-0.94); and ARR of 1.32%, 0.61%, and 1.43%. Hazard ratios for the second coprimary outcome were 0.77 (95% CI, 0.51-1.14), 0.73 (95% CI, 0.56-0.95), and 0.74 (95% CI, 0.58-0.94); and ARR of 0.36%, 1.49%, and 1.85%, using the ACC/AHA algorithm and 0.76 (95% CI, 0.41-1.41), 0.70 (95% CI, 0.52-0.95), and 0.76 (95% CI, 0.62-0.94); and ARR of 1.08%, 0.83%, and 1.56% using the FRS.Conclusions: The pragmatic HOPE-3 trial approach identifies in an ethnically diverse primary prevention population individuals at intermediate risk who benefit from statin therapy using simple clinical characteristics without the need for complex, currently used risk assessment tools.
|
|
