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Guthrie B, Rogers G, Livingstone S, et al. The implications of competing risks and direct treatment disutility in cardiovascular disease and osteoporotic fracture: risk prediction and cost effectiveness analysis. Southampton (UK): National Institute for Health and Care Research; 2024 Feb. (Health and Social Care Delivery Research, No. 12.04.)
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The implications of competing risks and direct treatment disutility in cardiovascular disease and osteoporotic fracture: risk prediction and cost effectiveness analysis.
Show detailsThis appendix contains cost–utility results from the statins model following the updates described in Chapter 6, General model updates, and subsequent inclusion of adjustment competing risk of non-cardiovascular death, as described in Chapter 6, New model features specific to this project.
Base case
State occupancy
Figure 47 provides model state occupancy graphs in two untreated cohorts with and without adjustment for competing risk of non-cardiovascular mortality. Both groups comprise 60-year-olds with a 10-year QRISK3-predicted risk of 10%, but one cohort is 100% male and the other cohort is 100% female.
Deterministic incremental cost–utility results
Table 56 replicates Table 97 in appendix L of CG181,10 showing estimated costs and QALYs for each statin strategy and no treatment. Table 56 also gives NHB for each arm (valuing QALYs at £20,000 each).
TABLE 56
Updated model, including adjustment for competing risk of non-cardiovascular death: cost–utility results in men and women at various levels of non-cardiovascular risk
In Figures 48 and 49, we depict the cost-effectiveness of statins for people of different ages and cardiovascular risks, and how adjusting for competing risk of non-cardiovascular death affects these results. Even before adopting this adjustment, the model suggests that statins represent a good use of resources for almost everyone. It is only for people aged > 60 years with the lowest cardiovascular risk that statins represent poor value for money. However, adjusting for competing risk of non-cardiovascular death removes even this small subgroup. In practice, the distinction is moot if QRISK3 is used to predict cardiovascular risk, as it is essentially impossible for people in those age brackets to have 10-year risks low enough to enter the cost-ineffective zone. If such people did exist, then they would have extraordinary life expectancy, which is why the adjusted model concludes that it would still be good value to offer them statins, as there is every chance that even the oldest people would live to realise their benefit.
![FIGURE 48. Cost-effectiveness of high-intensity statins (atorvastatin 20 mg/day) compared with no treatment, as a function of age and cardiovascular risk.](/books/NBK601054/bin/15-12-22_fig48.gif)
FIGURE 48
Cost-effectiveness of high-intensity statins (atorvastatin 20 mg/day) compared with no treatment, as a function of age and cardiovascular risk. (a) Unadjusted (as per CG181); and (b) adjusted for competing risk of non-cardiovascular death.
Deterministic sensitivity analysis
Probabilistic sensitivity analysis
Figures 54–57 illustrate the pairwise comparison between high-intensity statins (atorvastatin 20 mg/day) and no treatment with and without adjustment for competing risk of non-cardiovascular death when analysed probabilistically.
![FIGURE 55. Updated model, including adjustment for competing risk of non-cardiovascular death: probabilistic cost–utility scatterplot for all options (60-year-olds, 50 : 50 men : women, 10% 10-year cardiovascular event risk).](/books/NBK601054/bin/15-12-22_fig55.gif)
FIGURE 55
Updated model, including adjustment for competing risk of non-cardiovascular death: probabilistic cost–utility scatterplot for all options (60-year-olds, 50 : 50 men : women, 10% 10-year cardiovascular event risk).
Scenario analysis
Pay-off time under varying direct treatment disutility assumptions
Figures 59 and 60 show cumulative incremental QALYs over time for four example profiles across our four DTD scenarios.
- Full results from cost–utility model assessing statins for the primary preventio...Full results from cost–utility model assessing statins for the primary prevention of cardiovascular disease including adjustment for competing risk - The implications of competing risks and direct treatment disutility in cardiovascular disease and osteoporotic fracture: risk prediction and cost effectiveness analysis
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