the Stroke Program (D.L.B., S.L.H., L.B.M.), Sleep Disorders Center (R.D.C.), and Division of General Medicine (K.M.L.), University of Michigan Health System, Ann Arbor.
Abstract
Background and Purpose— Obstructive sleep apnea (OSA) is common after acute ischemic stroke and predicts poor stroke recovery, but whether screening for OSA and treatment by continuous positive airway pressure (CPAP) improves neurological outcome is unknown. We used a cost-effectiveness model to estimate the magnitude of benefit that would be necessary to make polysomnography (PSG) and OSA treatment cost-effective in stroke patients.
Methods— A decision tree modeled 2 alternative strategies: PSG followed by 3 months of CPAP for those found to have OSA versus no screening. The primary outcome was the utility gained through OSA screening and treatment in relation to 2 common willingness-to-pay thresholds of $50 000 and $100 000 per quality-adjusted life year (QALY).
Results— Screening resulted in an incremental cost-effectiveness ratio of $49 421 per QALY. Screening is cost-effective as long as the treatment of stroke patients with OSA by CPAP improves patient utilities by >0.2 for a willingness-to-pay of $50 000 per QALY and 0.1 for a willingness-to-pay of $100 000 per QALY.
Conclusions— A clinical trial assessing the effectiveness of CPAP in improving stroke outcome is warranted from a cost-effectiveness standpoint.
Key Words: cost–benefit analysis sleep apnea, obstructive stroke management
Introduction
Obstructive sleep apnea (OSA) is common in ischemic stroke patients and is associated with poor stroke recovery.1,2 It is unknown whether treatment of OSA by continuous positive airway pressure (CPAP) soon after stroke improves neurological outcome. Further, even if CPAP were proven to improve stroke outcome in stroke patients with OSA, screening all stroke patients may not be cost-effective given the costs of polysomnography (PSG). Before a clinical trial is performed to determine the effects of CPAP after stroke, the cost-effectiveness of screening all stroke patients should be determined.
We used a cost-effectiveness model to estimate the magnitude of benefit, in health-state utility, that would be necessary to make PSG and OSA treatment cost-effective in patients with recent stroke. In addition to its usefulness in clinical trial planning, identification of variables that are influential in the model will be informative for cost-reducing strategies.
Methods
The primary outcome was the utility gained through OSA screening and treatment in relation to 2 common willingness-to-pay thresholds of $50 000 and $100 000 per quality-adjusted life year (QALY). Utilities summarize patient preferences for specific health states, ranging from 0 for death to 1 for perfect health. A decision tree (Figure) modeled 2 alternative strategies (screening
Decision model.
See Editorial Comment page 1293
versus no screening) for a hypothetical adult with recent stroke resulting in a moderate deficit, with an associated health state utility of 0.6. In the screening pathway, identification of OSA led to CPAP titration, followed by 3 months of CPAP treatment. It was assumed that there were no deaths or recurrent strokes over this short time period because these are patients who survived their initial stroke hospitalization.3 The 3-month time horizon also allowed us to assume that no patient in the no-screening arm would come to medical attention due to symptomatic OSA and "crossover" to receive CPAP, thus allowing for a simple model. Reference case estimates of prevalence of OSA and probability of CPAP acceptance in addition to estimated costs and utilities are found in Table 1. The actual short-term acceptance of CPAP in stroke patients in unknown, but this value was allowed to vary in sensitivity analysis. The analysis was performed from a societal perspective using a 3-month time horizon. Costs were estimated based on Medicare reimbursement.4,5 No discounting of costs or utilities was needed given the time horizon. One-way sensitivity analyses were conducted using the ranges found in Table 1. Two-way sensitivity analyses, in which 2 variables were allowed to vary over a plausible range, were conducted with respect to the utility estimates. The decision tree was analyzed by Data 4.0 (TreeAge Inc).
Results
Model results are found in Table 2. In the base case, the incremental cost-effectiveness ratio for screening was $49 421 per QALY. Two-way sensitivity analysis performed on the utilities of stroke states showed that PSG has a cost-effectiveness ratio <$50 000 per QALY as long as the utility for those with OSA on CPAP is 0.2 higher than for those with OSA not on CPAP. Therefore, for a willingness-to-pay of $50 000 per QALY, the relative increment in utility would have to be 50% (from 0.4 to 0.6), meaning that screening is cost-effective as long as the treatment of stroke patients with OSA by CPAP improves quality of life (QOL) by 50%. For a willingness-to-pay of $100 000 per QALY, the relative increment in utility would have to be only 25% for screening to be cost-effective.
Discussion
This analysis suggests that if CPAP were shown to improve stroke recovery, it would need to improve patients’ utilities by 0.2 in order to be cost-effective given a willingness-to-pay of $50 000 per QALY and by 0.1 for a willingness-to-pay of $100 000 per QALY. In general, interventions that cost <$50 000 to $100 000 per QALY gained are judged to be worthwhile healthcare expenditures.6 The aforementioned changes in utility represent a 25% to 50% relative improvement in QOL (given the assumption of 0.4 for the utility of a stroke in an OSA patient).
One method for lowering costs associated with PSG screening and CPAP titration would be to attempt to combine the 2 in a split-night study. If the apnea–hypopnea index is 20 in the first half of the night, the second half of the night may be used for CPAP titration.7 This would cut costs considerably to $26 918 per QALY. With the use of a split-night study in all patients, only 16% and 32% improvement in utility would be required to make screening cost-effective given a willingness-to-pay of $100 000 and $50 000 per QALY, respectively.
Another potential cost-saving mechanism would be to use clinical criteria to help identify patients with OSA. Unfortunately, clinical criteria currently identify less than two-thirds of stroke patients with OSA correctly.8 Therefore, presently, PSG is necessary to screen stroke patients for OSA.
The results of this analysis cannot be extended to those with very mild or very severe strokes. Additionally, this analysis is limited by the validity of the utility estimates used. The utilities used were gathered from patients at risk for stroke given the societal perspective taken. We also performed sensitivity analyses on these values in attempt to compensate for this limitation. Further studies obtaining more precise estimates of QOL and cost information in stroke patients with OSA are needed.
Summary
OSA after stroke is common and is associated with poor outcome. A clinical trial assessing the effectiveness of CPAP in improving stroke outcome is warranted from a cost-effectiveness standpoint. The feasibility of performing split-night studies in stroke patients should be assessed as a cost-saving mechanism.
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