Model design
The present cost-effectiveness analysis compares the costs and clinical outcomes of iStent inject®, in conjunction with cataract surgery, vs. cataract surgery alone, in a single eye of patients with POAG over a lifetime horizon. A Markov model with 4 health states (Figure 1) and one-month cycles, was used to simulate the prognosis of these patients. The model estimated the clinical benefits (in terms of quality-adjusted life years, QALY) and costs associated with the two different alternatives.
The model is based on the assumption that both quality of life outcomes and disease management costs of a hypothetical POAG patient would depend on the severity of the disease, defined according to the Hodapp-Parrish-Anderson scale [18]: i) mild: from 0 to -6 dB; ii) moderate: from -6.01 to -12 dB; iii) advanced:
-12.01 to -20 dB; iv) severe / blindness:> -20 dB.
At model start, patients are allocated in one of the four health states. The probabilities of transitioning from one health state to the next (e.g. mild to moderate, moderate to advanced, etc.) are based on the following parameters: i) natural rate of progression of glaucoma (dB) in untreated patients; ii) treatment-attributable delay of disease progression, driven by IOP reduction, determined with the decline of the visual field (VF) defect. Transitions towards more severe health states determine an increase of resource consumption (more frequent consultations and tests) and a progressive reduction of patients’ utilities. The VF deterioration associated with the progression of glaucoma is irreversible; in the model, health state transitions would occur only to states of greater severity.
In the model, patients with inadequate control of VF would require subsequent treatment, which is trabeculectomy. The risk of switching to trabeculectomy is expressed as a time-dependant function, whose shape depends on the IOP-modifying effect of first-line treatment (basically, the larger the IOP reduction the lower the proportion of patients who would need trabeculectomy).
Furthermore, patients can move to the health state "death" at any time, from any of the other health states.
A lifetime horizon was adopted in the analysis. A discount rate of 3.5% was applied to both costs and effects. The Italian NHS (National Healthcare Service) payer perspective was adopted, i.e. considering only direct healthcare resources reimbursed and funded by the NHS.
Clinical inputs
Characteristics of patients at baseline
At model start, patient population (POAG patients in need of cataract surgery) was aged 64.7 years [19]. Consistently with main treatment guidelines and common opinions on MIGS place in therapy, it was assumed that patients receiving iStent inject® had mild-to-moderate glaucoma (50.0% of patients with mild POAG, 50.0% of patients with moderate POAG [20].
Treatment effectiveness
In the model, effectiveness of the two treatment arms depends on two factors: i) IOP reduction obtained with surgical treatment (iStent inject® + cataract surgery vs. cataract surgery alone); ii) IOP reduction obtained with concomitant medical treatment.
Table 1 shows IOP levels and IOP reduction over time for the two alternatives. IOP data at one and two years after surgery were obtained from the randomized clinical trial (RCT) conducted by Samuelson et al 2019 [14]. Since efficacy of treatments is expected to decrease overtime, a 6.7% reduction of clinical effectiveness per year was hypothesized in both treatment arms (based on the estimates provided by the panel of experts) [20], to evaluate the efficacy of the interventions over the time horizon.
Table 1. Efficacy inputs with medication discontinuation at 8.6 months [Source: elaborated from Samuelson et al 2019 [14]].
Time (years)
|
iStent + Cataract surgery
|
Cataract surgery
|
IOP (mmHg)
|
IOP reduction (mmHg)*
|
IOP (mmHg)
|
IOP reduction (mmHg)*
|
0
|
24.8**
|
-
|
24.5**
|
-
|
1
|
17.7
|
7.1**
|
19.0
|
5.5**
|
2
|
18.3
|
6.6**
|
20.1
|
4.4**
|
3
|
19.1
|
5.7
|
20.9
|
3.6
|
4
|
19.4
|
5.4
|
21.2
|
3.3
|
5
|
19.7
|
5.1
|
21.3
|
3.2
|
6
|
20.0
|
4.8
|
21.5
|
3.0
|
7
|
20.3
|
4.5
|
21.7
|
2.8
|
8
|
20.5
|
4.3
|
21.8
|
2.7
|
9
|
20.8
|
4.0
|
22.0
|
2.5
|
10
|
21.0
|
3.8
|
22.1
|
2.4
|
10+
|
21.2
|
3.6
|
22.2
|
2.3
|
IOP=intraocular pressure.
*Intraocular pressure reduction vs. baseline.
**IOP and IOP reduction data, at one and two years, were obtained from the randomized clinical trial (RCT) conducted by Samuelson et al 2019 [14] and adjusted for the time-to-discontinuation. Baseline IOP: 24.8±3.3 mmHg vs. 24.5±3.1 mmHg in the iStent + Cataract surgery vs. Cataract surgery groups, respectively (P = 0.33).
Beyond surgical treatment, IOP can be also reduced with concomitant medical therapy. Treatment effectiveness depends on the number of medications used. The progressive reduction of medication use was modelled, for the two alternatives, by incorporating the discontinuation rate of medical therapy [21]. The weighted average time-to-discontinuation was 8.6 months, according to Nordstrom et al. 2005 [22]. It was also assumed that the IOP increase due to discontinuation was equal to the difference in baseline medicated versus unmedicated IOP (7 mmHg), derived from Samuelson et al. 2011 [23].
As mentioned earlier, IOP reduction has the effect of reducing the risk of VF decline, measured with the Hodapp-Parrish-Anderson scale. If glaucoma were untreated, VF monthly decline would be
-0.0508 dB [24]. Instead, if treated, one-unit reduction in IOP (mmHg) would determine a 9.5% decrease of the VF decline, according to the Early Manifest Glaucoma Trial (EMGT) [24]. These assumptions were used to determine transition probabilities between mild and moderate, moderate and advanced, advanced and severe health states will depend on IOP reduction.
Furthermore, IOP reduction has the effect of reducing the risk of VF disease progression, which is used in the model to estimate the proportion of patients who would need to receive trabeculectomy. The natural disease progression of glaucoma patients is described by Heijl et al. [24] and can be assimilated to a lognormal distribution. From published literature it was observed that one-unit reduction in IOP (expressed in mmHg) was associated with a 12% reduction of the risk of disease progression, compared with the natural history of the disease (hazard ratio: 0.88; Leske et al. 2003 [25]).
Efficacy of subsequent treatments
In the model, it was assumed that patients experiencing disease progression received subsequent treatment. According to Italian expert opinion, the most plausible treatment following cataract surgery (with or without MIGS implantation) was trabeculectomy. Efficacy data for trabeculectomy, expressed in terms of IOP reduction, were obtained from an indirect comparison analysis conducted by the National Institute of Health Care and Excellence (NICE) [26]. According to this source, trabeculectomy reduced IOP of 6.48 mmHg.
Mortality
At any time and health state, patients could move to the death health state. However, it was assumed that glaucoma would not modify (i.e. increase) the risk of death. For this reason, mortality probabilities have been obtained from the general mortality tables of the Italian population (source: Italian Institute of Statistics, ISTAT; year 2017 [27]).
Cost inputs
To provide a thorough assessment of the economic impact of glaucoma management, the following costs were included in the analysis: i) costs associated with main interventions; ii) costs of subsequent procedures; iii) costs of medications; iv) costs of monitoring and follow-up; v) costs of adverse events.
Table 2 lists all cost input data and resource consumption assumptions used in the model.
The cost of cataract surgery was derived from the national tariff of hospital procedures [28].
Some outpatient procedures are available within several regional health systems and carried out in regional health structures with recognized clinical validity but are not present in the national nomenclator.
For this reason, the costs of certain procedures have been obtained from the regional tariff nomenclators.
The cost associated with iStent inject + cataract surgery was calculated based on Glaukos market data and the average costs of procedures in Tuscany, Umbria and Veneto regions [29–31].
The cost of trabeculectomy was calculated as the average tariff of interventions (“Trabeculectomy ab externo”) in Friuli Venezia-Giulia, Molise and Veneto regions [30,32,33]).
Acquisition costs of glaucoma medical therapy were included in the analysis. Monthly costs of the different medical therapies used in glaucoma were calculated using the ex-factory price (branded or generic) [34,35]. Then, these costs were multiplied by the respective market shares of these therapies in Italy [36], and finally summed up to determine an average monthly cost of glaucoma medical therapy in Italy.
The costs of glaucoma disease monitoring were included in the model; it was assumed that resource consumption depended on disease severity [20]. The following resources were considered: i) ophthalmologist consultation; ii) gonioscopy; iii) visual field test; iv) optic disc imaging. Finally, the costs for the management of treatment-related adverse events were calculated by multiplying the unit costs in the Italian practice [28,37], by the respective adverse event rates [38]. Only adverse events with at least 3% difference between the two treatment arms were included. The adverse event costs were one-time costs, applied only at the beginning of the simulation, corresponding with the index intervention.
Table 2. Cost input included in the analysis.
Type
|
Description
|
Value
|
Source
|
Main procedures
|
Glaucoma + cataract surgery cost (€)
|
€2,294.20
|
iStent acquisition cost + procedures cost [29–31,39]
|
Cataract surgery cost (€)
|
€994.00
|
DH 39 [28]
|
Subsequent procedures
|
Trabeculectomy cost (€)
|
€1,969.10
|
Code 12.64 [30,32,33]
|
Medications
|
Bimatoprost cost (€)
|
€20.23
|
Generic ex-factory price [34]
|
Bimatoprost + timolol cost (€)
|
€27.25
|
Branded ex-factory price [35]
|
Brinzolamide + timolol cost (€)
|
€16.88
|
Branded ex-factory price [35]
|
Dorzolamide + timolol cost (€)
|
€7.33
|
Generic ex-factory price [34]
|
Travoprost + timolol cost (€)
|
€18.26
|
Generic ex-factory price [34]
|
Timolol cost (€)
|
€5.70
|
Generic ex-factory price [34]
|
Tafluprost cost (€)
|
€25.94
|
Branded ex-factory price [35]
|
Bimatoprost MS (%)
|
15.6%
|
[36]
|
Bimatoprost + timolol MS (%)
|
11.5%
|
Brinzolamide + timolol MS (%)
|
13.9%
|
Dorzolamide + timolol MS (%)
|
16.4%
|
Travoprost + timolol MS (%)
|
6.6%
|
Timolol MS (%)
|
25.4%
|
Tafluprost MS (%)
|
10.7%
|
Disease monitoring
|
Ophthalmologist consultation cost (€)
|
€20.66
|
Code 95.02 [37]
|
Gonioscopy cost (€)
|
€7.75
|
Code 95.26 [37]
|
VF defect test cost (€)
|
€16.78
|
Code 95.05 [37]
|
Optic disc imaging cost (€)
|
€90.00
|
Code: 95.17 [31]
|
Incidence ophthalmologist consultation (n/month), mild glaucoma
|
0.17
|
[20]
|
Incidence ophthalmologist consultation (n/month), moderate glaucoma
|
0.25
|
Incidence ophthalmologist consultation (n/month), advanced glaucoma
|
0.33
|
Incidence ophthalmologist consultation (n/month), severe/blind glaucoma
|
0.25
|
Incidence gonioscopy (n/month), mild glaucoma
|
0.08
|
Incidence gonioscopy (n/month), moderate glaucoma
|
0.08
|
Incidence gonioscopy (n/month), advanced glaucoma
|
0.08
|
Incidence gonioscopy (n/month), severe/blind glaucoma
|
0.08
|
Incidence VF defect test (n/month), mild glaucoma
|
0.17
|
Incidence VF defect test (n/month), moderate glaucoma
|
0.17
|
Incidence VF defect test (n/month), advanced glaucoma
|
0.25
|
Incidence VF defect test (n/month), severe/blind glaucoma
|
0.17
|
Incidence optic disc imaging (n/month), mild glaucoma
|
0.17
|
Incidence optic disc imaging (n/month), moderate glaucoma
|
0.17
|
Incidence optic disc imaging (n/month), advanced glaucoma
|
0.33
|
Incidence optic disc imaging (n/month), severe/blind glaucoma
|
0.17
|
Adverse events
|
Hyperaemia unit cost (€)
|
€20.66
|
Code 89.07 [37]
|
Stent obstruction unit cost (€)
|
€1,522.00
|
DH 42 [28]
|
Incidence hyperaemia, iStent + cataract group (%)
|
0.8%
|
[38]
|
Incidence stent obstruction, iStent + cataract group (%)
|
6.2%
|
Incidence hyperaemia, cataract surgery only group (%)
|
5.9%
|
Incidence stent obstruction, cataract surgery only group (%)
|
0.0%
|
DH=day hospital; MS=market share; VF=visual field.
Utility inputs
Quality-adjusted life years (QALYs) were estimated as the sum of the life years spent in each health state, weighted by the associated utilities, thus reflecting the average health-related quality of life (HRQOL) of glaucoma patients in each stage of the disease.
Table 3 shows the utilities associated with the health states of the model. These values have been extracted from two studies conducted in 2010 and 2012 in the Netherlands [40,41], which correlated the loss of vision with health-related quality of life (HRQoL).
Table 3. Utilities associated with the health states of the model [40,41].
Health state
|
Utility
|
Mild glaucoma
|
0.847
|
Moderate glaucoma
|
0.781
|
Advanced glaucoma
|
0.704
|
Severe/blind glaucoma
|
0.594
|
Disutility for trabeculectomy was estimated from the same study conducted by Van Gestel et al. [41]
(Table 4). Disutilities for medication-related adverse events were subtracted to the health state utilities. Such disutility values were multiplied by the probability of experiencing the adverse event, to obtain an average disutility value. Also, since not all patients were receiving medications at each Markov cycle, the disutility value was weighted by the proportion of patients receiving therapy at each Markov cycle. The incidence rates of adverse events in patients receiving prostaglandins, beta-blockers and carbonic anhydrase inhibitors were 8%, 8%, and 14%, respectively [42]; market shares of these drugs were 35.2%, 15.2%, and 49.6%, respectively (obtained from the market shares of the single drugs reported in the Table 2). Consequently, the medication weighted incidence of adverse events was 8.9%; the corresponding disutility value was calculated multiplying this percentage by the disutility value for medication-related averse events (Table 4), estimated from the Van Gestel et al. study [41].
Table 4. Disutilities included in the model [41].
Description
|
Disutility
|
CI (95%)
|
Source
|
Trabeculectomy
|
-0.007
|
0.005-0.009
|
[41]
|
Medication-related AEs
|
-0.101
|
0.076-0.126
|
AEs=adverse events; CI=confidence interval.
Sensitivity analysis
Deterministic (one-way) and probabilistic sensitivity analyses were carried out to identify the input values with the largest effect on incremental cost-effectiveness ratio (ICER).
For the deterministic sensitivity analysis, the baseline value of each parameter was modified to the upper and lower limits of its 95% confidence interval (95% CI). If the CI was not available, a variation of ± 10% from the baseline value was used.
A probabilistic sensitivity analysis was performed, simultaneously and randomly varying the values of all model parameters (1,000 replications). For the probabilistic analysis, the following probability distributions were used: beta for probabilities and utilities; gamma for costs; normal for efficacy data.