Overview
A de novo economic model was developed to estimate the cost-effectiveness of ticagrelor plus aspirin compared with aspirin after AIS or TIA, based on an established approach.13 14 The base-case model consisted of a 1-month decision tree that reflected the THALES trial duration followed by a long-term Markov model with monthly cycles to allow for a lifetime extrapolation over a 30-year period. The Markov model included four health states: no subsequent stroke, non-disabling stroke(s) (NDS), disabling stroke(s) (DS) and death (figure 1). The base-case analysis was conducted using a Swedish societal perspective. A 3% discount rate was applied to costs and outcomes annually in accordance with the Professional Society for Health Economics and Outcomes Research (known as ISPOR) guidance.15
Figure 1Decision tree structure for the first month and Markov model structure with monthly cycles. DS, disabling stroke; NDS, non-disabling stroke; TIA, transient ischaemic attack.
Population and interventions
The model population corresponded to the inclusion criteria of THALES. Patients with acute onset of cerebral ischemia due to either an AIS with NIHSS ≤5 or high-risk TIA with ABCD2 ≥6 were included.10 The baseline age used in the model was 65 years, which reflected the mean baseline age in THALES.
Interventions were based on the ticagrelor plus aspirin or aspirin regimens in THALES. Patients received either a loading dose of ticagrelor 180 mg plus aspirin 300–325 mg on day 1 followed by ticagrelor 90 mg two times per day plus aspirin 75–100 mg once daily for 30 days, or they received a loading dose of aspirin 300–325 mg on day 1 plus placebo followed by aspirin 75–100 mg once daily plus placebo for 30 days.
Model structure and assumptions
Clinical outcomes (rate of NDS, DS and death) in THALES were used to determine the proportion of patients transitioning to one of the four health states in the decision tree following treatment with either ticagrelor plus aspirin or aspirin. Transitions to NDS and DS in the decision tree were made using the modified Rankin Scale (mRS). The threshold for DS in the base-case analysis was mRS >2; this threshold was used as it was associated with greater mortality risk, utility loss and costs than mRS 0–2.10 16 17
At the end of 1 month, patients entered the respective health states in the Markov model (figure 1). Time-dependent transition probabilities were then facilitated using tunnel states (months 0–1, 1–2, 2–3, 3–4 and 4+) for the NDS and DS health states, that is, when a patient enters either the NDS or DS health state, they move along these tunnel health states over time. In the early time points of the tunnel states (ie, months 0–1), patients have greater risk of another stroke, lower utilities and higher costs.18 Patients in the NDS state could move to the DS state or remain in the NDS state, but once a patient was in the DS state, they remained in that state, irrespective of whether the subsequent stroke was an NDS or DS (see online supplemental table 1).
Bleeding events experienced during THALES (shown in online supplemental table 2)10 were also included in the model and were assigned long-term cost and utility losses. These included intracranial haemorrhage (ICH; disabling and non-disabling), fatal bleed and other Global Utilization of Streptokinase and Tissue plasminogen activator for Occluded coronary arteries (GUSTO) bleeds (moderate and severe). Dyspnoea, a known side effect of ticagrelor, was seen as a cause of treatment discontinuation in THALES for both the treatment and comparator (1.03% and 0.18%, respectively) and would be expected to result in a general practitioner (GP) visit; therefore, treatment-specific discontinuation probabilities and GP visit costs were applied to the first cycle after discontinuation in the Markov model.
Data sources
Transition probabilities for NDS and DS
Base-case transitions for NDS and DS during months 1 and 2 were based on the 30 day duration of THALES (shown in online supplemental table 3A).10 Transition from the no subsequent stroke state from month 2 onward was derived from published data.19 Transition probabilities were calculated with the assumption that the ratio of NDS to DS were the same as that observed for the first subsequent stroke event in THALES. No other transitions were introduced since, in SOCRATES, the only other randomised controlled trial of ticagrelor versus aspirin in patients who had a stroke, 6199 (94%) patients in the ticagrelor group and 6160 (93%) patients in the aspirin group did not have a subsequent stroke over a longer 90-day duration.
Transition probabilities for mortality rates
Transition probabilities for mortality rates were chosen as close to both trials as possible, based on the month of occurrence; when not possible, published HRs were used. Following these principles, mortality rates were derived from THALES for months 1 and 2,10 and from SOCRATES9 for transitions from the no subsequent stroke state from month 2 onward; mortality following a subsequent initial stroke from month 2 onward was adjusted for NDS and DS using published HRs.17 Base-case mortality rates are listed in online supplemental table 3B).9 10 17 19
Utilities
Utilities used in the model are summarised in online supplemental table 4.9 10 20 21 EuroQol- 5 Dimension (EQ-5D) data collected in THALES10 and SOCRATES9 were used to generate utility values by applying the UK EQ-5D tariff published by Dolan.21 This approach was used to calculate utility values at months 0, 1 and 3. The utility at month 2 was obtained by linear interpolation. The health state utilities for each month in the long-term model were set equal to the 3-month health state utilities. Age-related utility decrements were based on the relationship between age and utility values observed in the general population using the following relationship from Ara and Brazier22 :
Bleeding event disutilities were applied for ICH and GUSTO moderate and severe bleeds, using the values for ‘other ICH’ and ‘clinically relevant non-major bleed’ from Lanitis et al,20 respectively, for the first cycle in the NDS state and for the long-term in the DS state. These events were modelled separately from the transition matrices. In the societal perspective, a caregiver disutility of 0.065 was applied in the DS state only. This was based on the work of Persson et al,23 who reported a statistically significant disutility of 0.065 for caregivers (spouses) of stroke survivors with mRS 3–5.
Resource use and cost data
Unit costs for drug acquisition were calculated from published sources,24 and dosing was aligned with THALES.10 All costs were valued in 2021 Euros. The cost per month for ticagrelor and aspirin was €67.57 and €2.13, respectively.24
The mean length of stay for each complication was derived from SOCRATES. Medical resource costs (hospitalisations and outpatient costs for stroke) were based on published DRG codes.25 The mean cost per hospitalisation for an NDS and DS event was calculated to be €6623 and €12 502, respectively, using costs from the Swedish National Board of Health and Welfare (Socialstyrelsen) (online supplemental table 5).9 10 24–26 Outpatient care costs in the first 3 months were also based on published DRG codes, with the resource use for each health state being based on SOCRATES.9 From month 3 onwards, outpatient costs were calculated after applying a percentage reduction on the acute monthly costs, ie, for months 1‒3. This reduction was determined using published sources,26 adjusted as per proportion with different mRS scores based on THALES (in the ‘no event’ state, the mRS distribution at visit 3 from the THALES trial is assumed; in the NDS and DS states, the mRS distribution at visit 3 following the subsequent event is used to inform the ratio of mRS scores within the relevant state).
Bleeding event–related costs for fatal bleed (€7274), ICH (non-disabling, without complications; €6623), ICH (disabling, with complications; €12 502) and other GUSTO bleeding (€2499, assuming an average of ‘gastrointestinal bleed, inpatient’ and ‘gastrointestinal bleed, outpatient’) were derived from published sources that calculated them using a microcosting approach.25 These were applied as one-off events. As dyspnoea was a common cause of discontinuation in THALES and was associated with a GP visit, treatment discontinuation cost was applied as a cost per GP visit of €191. Monthly caregiver costs of €90 and €2289 to account for informal support by caregivers of independent (mRS 0‒2) and dependent (mRS 3‒5) stroke survivors were applied based on published sources inflated to 2021.27 Costs associated with independent stroke survivors were applied to the NDS state and costs associated with dependent stroke survivors were applied to the DS state; no caregiver costs were applied to the ‘no event’ state.
Sensitivity and scenario analyses
To assess the impact of uncertainty in the model parameters, deterministic one-way sensitivity analysis (DSA), probabilistic sensitivity analysis (PSA), and scenario analyses were performed. Patient characteristics were based on THALES, and the following parameters were included in the DSA and PSA: transition probabilities, adverse event rates and utilities, and the impact of changes to the time horizon, discount rates, stroke definition and mortality rates. Payer perspective was included as an alternative scenario, which tested the results after excluding caregiver costs and disutility.
In the DSA, the parameter variation was determined using either the 95% CI or a standard error (SE) ±20% variation when no other information was available. The most influential parameters identified are presented in the RESULTS section. In the PSA, distributions assigned to appropriate parameters were based on the quantity and quality of evidence as well as type of variable (online supplemental table 6). Distributions for transitions in the decision tree were estimated through 95% CIs for both ticagrelor plus aspirin and aspirin from THALES. A 10% variation was considered to calculate SE for the rest of the transition probabilities.
Subgroup analyses
Cost-effectiveness was evaluated in patients with moderate AIS (NIHSS score 4–5) and in those with ipsilateral atherosclerotic stenosis ≥30%. Ticagrelor plus aspirin was shown to be effective in these high-risk groups in THALES. All statistical analyses were programmed and analysed using Microsoft Excel version Office 365 (Microsoft, Redmond, Washington, DC, USA).