Literature DB >> 28643178

Economic Evaluation of Tobramycin Inhalation Powder for the Treatment of Chronic Pulmonary Pseudomonas aeruginosa Infection in Patients with Cystic Fibrosis.

Srilekha Panguluri1, Praveen Gunda1, Laurie Debonnett2, Kamal Hamed3.   

Abstract

BACKGROUND: Chronic lung infection with Pseudomonas aeruginosa occurs in approximately 50% of patients with cystic fibrosis (CF). This infection further compromises lung function, and significantly contributes to the increased healthcare costs.
OBJECTIVES: Inhaled tobramycin, used to manage P. aeruginosa infection in CF patients, is available as powder (tobramycin inhalation powder, TIP) and solution (tobramycin inhalation solution, TIS). Evidence suggests increased adherence with the use of TIP over TIS. Hence, this analysis aimed to evaluate the potential pharmacoeconomic benefit of increased adherence with TIP over TIS in the US setting.
METHODS: A patient-level simulation model was developed to compare TIP with TIS. Both costs and benefits were predicted over a 10-year time horizon from a payer's perspective, and were discounted annually at 3%. All costs were presented in 2016 US dollars.
RESULTS: TIP was associated with greater quality-adjusted life-years (by 0.27) and lower total costs (by US$36,168) as compared with TIS over a 10-year time horizon. TIP-treated patients experienced a decreased mean number of exacerbations than TIS-treated patients (39.24 vs 50.20). Furthermore, administration of TIP via the T-326 Inhaler was associated with significant cost savings per patient, because of the nebulizer required for administering TIS (by US$1596) and exacerbation costs (by US$76,531). Probabilistic sensitivity analysis showed that TIP was dominant over TIS in 100% of the simulations.
CONCLUSION: TIP is likely to be a more cost-effective treatment than TIS, and therefore may reduce the economic burden of CF.

Entities:  

Mesh:

Substances:

Year:  2017        PMID: 28643178      PMCID: PMC5509782          DOI: 10.1007/s40261-017-0537-9

Source DB:  PubMed          Journal:  Clin Drug Investig        ISSN: 1173-2563            Impact factor:   2.859


Key Points

Introduction

Cystic fibrosis (CF) is a rare, potentially fatal, genetic disorder caused by mutations in the gene encoding the CF transmembrane conductance regulator protein, which acts as a chloride channel [1]. CF is most common in the Caucasian population, although it can affect nearly every race and ethnicity [1]. In the USA, there are over 28,000 paediatric and adult patients with CF and close to 1000 new cases are diagnosed every year [1]. CF is associated with high socioeconomic costs. Major drivers of the total costs are direct healthcare costs in adults (medications, outpatient healthcare visits, acute hospitalisations) and direct non-healthcare informal costs in children (caregivers’ time) [2, 3]. Healthcare costs increase with the patient’s age and severity of the disease [4]. The annual medical cost for a patient with CF in the USA has been reported to be 20-fold greater than that for someone without CF [5]. Chronic lung infection with Pseudomonas aeruginosa occurs in approximately 50% of the patients with CF, and is more common in older adolescents and adults [1]. This infection further compromises lung function and significantly contributes to the increased healthcare costs due to more frequent physician visits and extended hospitalisations, as well as non-healthcare informal costs [1, 2, 6, 7]. Data show that early diagnosis of P. aeruginosa pulmonary infection and aggressive intervention remain key for improving lung function, lowering hospitalisation rates due to acute pulmonary exacerbations, and improving the quality of life (QoL) [8, 9]. The Cystic Fibrosis Pulmonary Guidelines have reported that intravenous antibiotics are the preferred treatment for acute pulmonary exacerbations, while aerosolised or inhaled formulations are preferred for managing chronic pulmonary infections [10]. Tobramycin, an aminoglycoside antibiotic, is used to manage both acute and chronic pulmonary P. aeruginosa infections [11]. A recent review, focused primarily on tobramycin inhalation powder (TIP), reinforced that tobramycin inhalation solution (TIS) was efficacious in improving lung function and reducing P. aeruginosa sputum density, hospitalisation rates, and the frequency of intravenous antibiotic use [12]. However, its twice-daily administration via a nebuliser for about 15–20 min/dose, and the additional time required for cleaning and disinfection of the nebuliser is often bothersome and costly [13-15]. This may place a high burden on patients and their caregivers, leading to poor adherence, and possibly reduced effectiveness in real-world settings [16, 17]. Therefore, new treatment options that can reduce the associated patient or caregiver burden are needed. TIP was the first antibiotic approved by the US Food and Drug Administration (FDA) as a dry powder for inhalation (DPI) formulation for use in patients with CF, and has been recommended as a therapeutic option for the treatment of chronic pulmonary P. aeruginosa infections [18]. Designed to enhance drug delivery, TIP shortens the drug administration time and has been shown to improve patient convenience, satisfaction, and adherence [18, 19]. Although the safety and efficacy profile of TIP was similar to that of TIS over a 6-month period in a randomised, controlled study (EAGER), the administration time for TIP was significantly shorter as compared with TIS (mean 5.6 vs 19.7 min, respectively; p < 0.0001) [15]. TIP was associated with both immediate- and long-term benefits with respect to perceived treatment burden, convenience, adherence, and patient satisfaction, when studied alone or in comparison with TIS [15, 17, 20]. In a real-world setting, approximately 33 of 40 (83%) patients treated with TIP for 12 months had excellent (>80%) adherence and lower intravenous antibiotic usage, a marker used for pulmonary exacerbations, as compared to the previous 12 months [17]. Approximately 94% of patients who had previously used TIS, preferred TIP over TIS [17]. TIP was also found to have an acceptable long-term safety profile [21]. Considering these findings, it is important to understand the cost-effectiveness of treatments for efficient distribution of healthcare resources. The aim of this analysis was to assess the potential pharmacoeconomic benefit of increased adherence with TIP over TIS in the US setting.

Materials and Methods

Model Structure

This cost-effectiveness analysis was primarily based on the clinical data from the EAGER study, which was a randomised, open-label, active-controlled, parallel-arm study [15]. Eligible patients were randomised to TIP or TIS in a 3:2 ratio, and treatments were administered for 28 days followed by 28 days off-treatment, for a total period of 6 months [15]. The model was developed from the US healthcare perspective over a time horizon of 10 years, with a cycle length of 6 months. The 10-year time horizon was considered appropriate to account for potential variances in costs and intrinsic health effects, especially given the median predicted survival of CF patients of 39.3 years and the median age of patients in the EAGER study of 24 years [1, 15]. Other time horizons were also explored (2 and 5 years) to inform shorter term decision making. The model employed a patient-level simulation rather than a cohort model as the former accounts for patient heterogeneity and allows obtaining unbiased estimates of mean outcomes, thus avoiding the addition of many health states. Moreover, one can reasonably expect a non-linear relationship between patient characteristics (age, baseline lung function, treatment adherence, etc.) and model outcomes [cost and quality-adjusted life-years (QALYs)]. Furthermore, the choice of model structure is consistent with the guidelines published by Brennan et al [22]. The parameters considered in this model (Fig. 1) included decline in forced expiratory volume in 1 s (expressed as FEV1 % predicted), frequency of pulmonary exacerbations, and overall survival. FEV1 is a reflection of the extent of airway obstruction [23], and the rate of FEV1 decline is a marker of progression of lung impairment in patients with CF, long-term morbidity, and mortality [24, 25]. The frequency and severity of exacerbations with FEV1 % predicted (<40, 40–70, >70%) and treatment adherence were also assessed as these tend to provide a clinically relevant endpoint [24], and are correlated with increased morbidity, compromised QoL, and mortality [8, 26]. Moreover, pulmonary exacerbations are the major drivers of increased costs [3, 27].
Fig. 1

Model structure. Baseline characteristics used in the model were age, gender, P. aeruginosa infection, sputum, crackles, wheezing, sinusitis, elevated liver function tests, and pancreatic insufficiency. Other model inputs included: mean improvement in FEV1 % predicted 3.1% for TIP and 2.3% for TIS; severe exacerbation rate at 6 months with TIP (high adherence): FEV1 % <40–1.31, FEV1 % 40–70–0.68, FEV1 % >70–0.43; severe exacerbation rate at 6 months with TIS (low adherence) based on odds ratio of 0.4: FEV1 % <40–2.04, FEV1 % 40–70–1.23, FEV1 % >70–0.85; mild exacerbation rate at 6 months (considered to be same for TIP and TIS due to lack of data): FEV1 % <40–1.32, FEV1 %: 40–70–0.99, FEV1 % >70–1.09. FEV 1 % predicted percent predicted forced expiratory volume in 1 s, TIP tobramycin inhalation powder, TIS tobramycin inhalation solution, P. aeruginosa Pseudomonas aeruginosa

Model structure. Baseline characteristics used in the model were age, gender, P. aeruginosa infection, sputum, crackles, wheezing, sinusitis, elevated liver function tests, and pancreatic insufficiency. Other model inputs included: mean improvement in FEV1 % predicted 3.1% for TIP and 2.3% for TIS; severe exacerbation rate at 6 months with TIP (high adherence): FEV1 % <40–1.31, FEV1 % 40–70–0.68, FEV1 % >70–0.43; severe exacerbation rate at 6 months with TIS (low adherence) based on odds ratio of 0.4: FEV1 % <40–2.04, FEV1 % 40–70–1.23, FEV1 % >70–0.85; mild exacerbation rate at 6 months (considered to be same for TIP and TIS due to lack of data): FEV1 % <40–1.32, FEV1 %: 40–70–0.99, FEV1 % >70–1.09. FEV 1 % predicted percent predicted forced expiratory volume in 1 s, TIP tobramycin inhalation powder, TIS tobramycin inhalation solution, P. aeruginosa Pseudomonas aeruginosa This model assumed high adherence to TIP and low adherence to TIS and the adherence categories were defined as low (≤2 cycles), medium (>2 to <4 cycles), and high (≥4 cycles) [16]. This assumption of higher adherence with TIP is based on adherence observed in Harrison et al [17]. The model simulated one patient at random, assigning a full set of risk factors based on the EAGER study population (e.g. age, gender, and baseline FEV1 % predicted) (Table 1) [15]. The model recorded the costs and health outcomes for each patient for the entire time horizon, and a total of 5000 patients were simulated to ensure stability of the model results. To further enhance the utility and generalisability of this analysis, two additional scenarios were evaluated: high adherence to both TIP and TIS and high adherence to TIP with medium adherence to TIS. For high adherence to TIP and medium adherence to TIS, the rate of hospitalisation from Briesacher et al [16] was used to calculate the rate of pulmonary exacerbations for TIS based on the rate of exacerbations for high adherence from Bradley et al [28].
Table 1

Baseline patient population characteristics

CharacteristicChildren, % of model populationSourceAdults, % of model populationSource
6–8 years9–12 years13–17 years18–24 years≥25 years
Gender
 Male555555Konstan et al. [15]5555Konstan et al. [15]
 Female4545454545
Positive for P. aeruginosa
 No000Konstan et al. [15]00Konstan et al. [15]
 Yes100100100100100
Weight for age
 ≥50332421Konstan et al. [29]NANA
 25–49272222NANA
 10–24222422NANA
 5–991310NANA
 <591625NANA
Mean FEV1 % predicteda
 53535353Konstan et al. [15]5353Konstan et al. [15]
Sputum
 No786248Konstan et al. [29]NANA
 Yes223852NANA
Crackles
 No877971Konstan et al. [29]NANA
 Yes132129NANA
Wheezing
 No989795Konstan et al. [29]NANA
 Yes235NANA
Sinusitis
 No939494Konstan et al. [29]9186Konstan et al. [15]
 Yes766914
Number of exacerbations
 0756958Konstan et al. [29]b 4714Sanders et al. [31]
 11618232719
 26791522
 3236621
 4+145616
Elevated liver enzymes
 No969594Konstan et al. [29]NANA
 Yes456NANA
Pancreatic insufficiency
 No224Konstan et al. [29]616Konstan et al. [15]
 Yes9898969484

FEV % predicted percent predicted forced expiratory volume in 1 s, NA not applicable for adult population

aMean value for the study cohort, i.e. all patients aged ≥6 years

bBaseline distribution of exacerbations is used only in cycle 1

Baseline patient population characteristics FEV % predicted percent predicted forced expiratory volume in 1 s, NA not applicable for adult population aMean value for the study cohort, i.e. all patients aged ≥6 years bBaseline distribution of exacerbations is used only in cycle 1 The mean (standard deviation) improvement in FEV1 % predicted was 3.1% (19.92) for TIP as observed in the EAGER study. Due to the lack of data for improvement of FEV1 % predicted in patients with low adherence to TIS, the mean improvement in FEV1 % predicted of 2.3%, which was associated with high adherence to TIS as observed in the EAGER study, was considered as a conservative measure. In addition, the model used the continual longitudinal decline in lung function in CF patients with chronic P. aeruginosa infection. The rate of lung function decline assessed by FEV1 % predicted was assumed to be constant, and was based on the published studies in patients aged 6–22 years [29, 30], and patients >18 years [31, 32]. The risk factors considered to contribute to lung function decline in children and adolescents in this analysis included crackles, wheezing, sputum production, sinusitis, exacerbations, elevated liver enzymes, and pancreatic insufficiency [32]. Based upon severity, pulmonary exacerbations were classified into two categories, mild (no hospitalisation) and severe (hospitalisation) exacerbations [28]. The rates of severe exacerbations per patient per year based on FEV1 % predicted (<40, 40–70, >70%) were obtained from an observational study [28]. These rates were then converted to probabilities of exacerbations (0, 1, 2, 3, and 4) per patient in 6 months for TIP. For TIS, due to low adherence, the probabilities of exacerbation per patient were calculated based on the odds ratio of 0.4 (probability of hospitalisations in a patient with high adherence compared to a patient with low adherence) [16]. Similarly, the rates of mild exacerbations per patient per year based on FEV1 % predicted (<40, 40–70, >70%) were obtained from the same observational study [28]. These rates were converted to the probability of exacerbations in 6 months for TIP. A conservative assumption was made to consider the same probability of mild exacerbations for TIS (Table 2). The assumption for exacerbation data was based on the observational study [28] rather than the EAGER study. The EAGER study did not measure exacerbations directly; instead, exacerbations were generally reported by the investigators as adverse events using the safety preferred term of lung disorders. Moreover, the EAGER study did not differentiate between minor and major exacerbations.
Table 2

Mean number of exacerbations by patient, per year

FEV1 % predicted severity levelPopulation
Requiring hospitalisation (severe)Treated at home (mild)
FEV1 % predicted, <402.612.64
FEV1 % predicted, 40–691.361.97
FEV1 % predicted, >700.862.18

FEV % predicted percent predicted forced expiratory volume in 1 s

Mean number of exacerbations by patient, per year FEV % predicted percent predicted forced expiratory volume in 1 s The mortality rates were estimated using the survival curve reported by Harness-Brumley et al [33], with an appropriate mortality rate assigned to each simulated patient based on their age and gender. The utility values were derived from the EuroQoL (EQ)-5D values collected in a UK-based observational study (Table 3) [28]. The EQ-5D data were grouped based on FEV1 % predicted (<40, 40–70, >70%) and type of pulmonary exacerbation. Patients in both treatment groups started with the same base utility values, and these would change with the change in FEV1 % predicted. Disutility (decrement in the normal utility) was applied when an exacerbation occurred. The standard willingness-to-pay (WTP) threshold was considered as US$50,000–100,000 per QALY [34], and a 3% annual discount rate was applied for both costs and benefits. Clinical experts validated the model structure. After 1 year in the model, characteristics of the patient cohort such as age, gender, risk factors (e.g. sinusitis), and number of exacerbations were similar to those of clinical trial data [15]. Data collection and analysis of the results were also validated using Drummond’s checklist [35].
Table 3

Utility values for the cystic fibrosis model

Utility values
DescriptionUtility valueStandard deviation
FEV1 % predicted, 70–990.8640.165
FEV1 % predicted, 40–690.8100.216
FEV1 % predicted, <400.6410.319
Mild exacerbationa 0.060 decrement0.048
Severe exacerbationb 0.260 decrement0.341

FEV % predicted percent predicted forced expiratory volume in 1 s

aMild exacerbation is defined as any new outpatient antipseudomonal antibiotic without hospitalisation

bSevere exacerbation is defined as respiratory-related hospitalisation

Utility values for the cystic fibrosis model FEV % predicted percent predicted forced expiratory volume in 1 s aMild exacerbation is defined as any new outpatient antipseudomonal antibiotic without hospitalisation bSevere exacerbation is defined as respiratory-related hospitalisation

Model Assumptions

The 6-month cycle length was used to match the clinical data in the EAGER study [15]. The treatment administration was considered during the time period the patient was alive or throughout the time horizon, whichever occurred first. The treatment efficacy was considered only in the first cycle due to the lack of long-term data. The safety profile was assumed to be similar for both treatments and was not considered in this model.

Resource Use and Costs

The components included under costs were medication costs, nebuliser costs, regular follow-up costs, and costs of pulmonary exacerbations. The cost-base year was 2016. The total drug costs for three treatment cycles of TIP and TIS (Novartis data on file) were taken at US$26,588 and US$22,013, respectively (package price/month US$8863 and US$7338, respectively) [36]. Additionally, costs associated with nebuliser use were considered for TIS (Novartis data on file), which included recurrent costs for air compressor and aerosol mask (US$80, replaced every 6 months), and PARI LC Plus® and air filter (US$180, replaced every year) [36]. The annual management costs for follow-up were taken at US$2043 (Table 4). Resource utilisation data for pulmonary exacerbations were obtained from a UK-based study due to the non-availability of similar US data [28]. The resource utilisation parameters comprised the average number of routine and specialist physician visits by provider type and the average number of diagnostic tests, including routine laboratory tests and radiologic investigations [28]. The US-specific unit costs were applied to the resource use data to calculate the costs in US dollar (US$). The resource use and unit costs are presented in Tables 4 and 5.
Table 4

Resource use and costs inputs used for the analysis

N Mean useb Unit cost (US$)CodeSource
Routine visits in last 12 months
 Patients with visits90
 If yes, how many?663.38529-1062Healthcare Salaries [37]
Specialists and frequency of visits in last 12 months (routine outpatient visits)
 Specialist 1—respiratory or CF662.32002009 National Schedule of Reference Cost 2008–09 NHS Trusts and PCTs combined
 Specialist 2—diabetes or other191.5
 Specialist 3—othera 91.4
Specialist 4—othera 41.3
Number of visits with other medical staff in last 12 months (routine outpatient visits)
 Nurse (CF specialist)821.83129-1141Bureau of Labor Statistics [38]
 Physiotherapist82225.8229-1128
 Dietitian/nutritionist811.230.529-1031Bureau of Labor Statistics [38]
 Psychologist870.137.0719-3030Bureau of Labor Statistics [38]
Number of routine laboratory tests in last 12 months (during routine visits)
 Complete metabolic panel903.220Clear Health Costs [39]
 Complete blood count903.2
 Pulmonary function tests905.4129Health and Personal Care Costs and Prices Paid [40]
 Sputum/cough swab cultures903.867MD Save [41]
 Other (specify)861.1
Number of radiology investigations in last 12 months (during routine visits)
 Chest X-ray900.7200Health and Personal Care Costs and Prices Paid [42]
 Other (specify)840.1
Annual management costs2043

NHS National Health Service, PCTs Primary Care Trusts, CF cystic fibrosis

aOther specialist types cited by only one or two patients include: dermatologist, gastroenterologist, gynaecologist, hepatologist, neurogastroenterologist, obstetrician, physiotherapist, psychiatrist, rheumatologist, and surgical specialist

bCount of events and sample size (number of patients) is based on observational study findings (includes number of hospital days per exacerbation, frequency and distribution of antibiotics prescribed, and office encounters)

Table 5

Resource use and costs of pulmonary exacerbations

EventsNo. of exacerbationsa Cost per unit consumed (US$)Source
Severe exacerbations
 Hospital days13751501355Pasquale et al. [43]b
 Admitted through the emergency room5150106Dewitt et al. [44]
 Hospital IV antibiotic treatment days1563150108Calculated by taking individual price of antibiotics [45]
 Home IV antibiotics treatment days729150177Calculation from individual price of antibiotics [45]
 Pulmonologist office visits315085Healthcare Salaries [37]
 Nurse specialist4815035Bureau of Labor Statistics [38]
 Other follow-up visits5150
 Weighted cost per exacerbation14,422
Mild exacerbations
 Home IV antibiotic treatment days1643217111Calculated by taking individual price of antibiotics [45]
 Home oral therapy treatment days21762174Cost of ciprofloxacin 750 mg strength from Analy Source [45]
 Pulmonologist office visits521785Healthcare Salaries [37]
 Nurse specialist8421735Bureau of Labor Statistics [38]
 Other follow-up visits (including phone calls)99217
 Weighted cost per exacerbation894

IV intravenous

aRates of mild and severe exacerbations were obtained from Bradley et al. [28]

bCost per hospitalisation was calculated based on Table 3 from Pasquale et al, and this cost was converted to 2016 cost based on consumer price index values

Resource use and costs inputs used for the analysis NHS National Health Service, PCTs Primary Care Trusts, CF cystic fibrosis aOther specialist types cited by only one or two patients include: dermatologist, gastroenterologist, gynaecologist, hepatologist, neurogastroenterologist, obstetrician, physiotherapist, psychiatrist, rheumatologist, and surgical specialist bCount of events and sample size (number of patients) is based on observational study findings (includes number of hospital days per exacerbation, frequency and distribution of antibiotics prescribed, and office encounters) Resource use and costs of pulmonary exacerbations IV intravenous aRates of mild and severe exacerbations were obtained from Bradley et al. [28] bCost per hospitalisation was calculated based on Table 3 from Pasquale et al, and this cost was converted to 2016 cost based on consumer price index values

Model Outputs

Three categories of model outputs were estimated for each treatment arm: clinical (overall survival, QALYs, and number of pulmonary exacerbations), costs (medication costs, nebuliser costs, regular follow-up costs, exacerbation costs, and total costs), and cost-effectiveness (incremental cost-effectiveness ratio, ICER).

Sensitivity Analyses

As this economic analysis was based on heterogeneous data sources with several built-in assumptions, one-way sensitivity analyses were performed by varying different factors to understand their impact on the outcomes. To arrive at a fair point for eliciting important variables, 95% confidence interval (CI) was used for the parameters for which a standard deviation was available, and a 10% standard error was selected for other parameters. A probabilistic sensitivity analysis (PSA) was also performed to further account for uncertainty in the estimated values. The PSA was run for 1000 patients and 100 cohorts using Monte Carlo simulation. Model results were recorded for incremental QALYs gained and incremental cost for TIP versus TIS.

Results

Patients receiving TIP had better outcomes in terms of number of QALYs and pulmonary exacerbations compared with those receiving TIS, when high adherence to TIP and low adherence to TIS was considered (Fig. 2). For the first additional scenario, where high adherence to both TIP and TIS was assumed, patients receiving TIP had only marginally better outcomes compared with those receiving TIS in terms of the number of exacerbations [mean (95% CI); 38.51 (26–53) and 39.45 (30–50), respectively; mean difference −0.94]. However, the overall survival [mean (95% CI); 3.40 (0–9.50) years] and QALYs [2.02 (0–5.45)] for both treatments, were similar. For the second additional scenario, where high adherence to TIP and medium adherence to TIS was assumed, patients receiving TIP had better outcomes compared with those receiving TIS in terms of QALYs [mean (95% CI); 2.10 (0–5.52) and 1.93 (0–5.12), respectively; mean difference 0.17] and the number of exacerbations [mean (95% CI); 38.71 (26–54) and 50.63 (40–63), respectively; mean difference −11.92]. Again, the mean (95% CI) overall survival was similar for the two treatments [3.54 (0–10.50) years].
Fig. 2

Comparison of health outcomes for treatment with tobramycin inhalation powder and tobramycin inhalation solution. aMean difference; b95% confidence intervals

Comparison of health outcomes for treatment with tobramycin inhalation powder and tobramycin inhalation solution. aMean difference; b95% confidence intervals The use of TIP over TIS was associated with cost savings per patient over a time horizon of 10 years for nebuliser and exacerbation costs when high adherence to TIP and low adherence to TIS was assumed (Fig. 3). The incremental total costs were lower (by US$36,168) and QALYs gained were higher (by 0.27) with TIP as compared to TIS. This equates to lower costs with TIP per QALY gained (−US$133,195/QALY) for the base case (ICER). Assuming high adherence to both TIP and TIS, the use of TIP over TIS was associated with marginal cost savings per patient over a time horizon of 10 years for nebuliser and exacerbation costs. The incremental mean total costs (95% CI) were higher [by US$26,217; total costs with TIP and TIS, US$250,029 (US$0–US$669,893) and US$223,813 (US$0–US$596,081), respectively], but QALYs gained were only marginally higher [by 0.003; QALYs gained with TIP and TIS, 2.024 (0–5.47) and 2.021 (0–5.46), respectively] with TIP as compared to TIS. This equates to higher costs with TIP per QALY gained (US$8,555,306/QALY) for the base case (ICER). Assuming high adherence to TIP and medium adherence to TIS, use of TIP over TIS was associated with cost savings per patient over a time horizon of 10 years for nebuliser and exacerbation costs. The incremental total costs were lower [by US$21,865; total costs with TIP and TIS, US$261,066 (US$0–US$687,042) and US$282,931 (US$0–US$744,832), respectively] and QALYs gained were higher [by 0.17; QALYs gained with TIP and TIS, 2.10 (0–5.52) and 1.93 (0–5.12), respectively] with TIP as compared to TIS. This equates to lower costs with TIP per QALY gained (−US$132,426/QALY) for the base case (ICER).
Fig. 3

Comparison of average costs for treatment with tobramycin inhalation powder (TIP) and tobramycin inhalation solution (TIS). aConfidence intervals. Costs as well as confidence intervals for regular follow-up were the same for the two treatments

Comparison of average costs for treatment with tobramycin inhalation powder (TIP) and tobramycin inhalation solution (TIS). aConfidence intervals. Costs as well as confidence intervals for regular follow-up were the same for the two treatments Compared to TIS, use of TIP increased QALYs by 0.1 and 0.2 years and decreased total costs by US$11,534 and US$24,417 at 2 years and 5 years, respectively, with corresponding estimated ICERs of −US$115,335/QALY and −US$122,087/QALY. The one-way sensitivity analyses showed that the probability of severe exacerbation(s) in a patient with high adherence compared to a patient with low adherence (odds ratio) is the most important parameter that could potentially impact the conclusion of this analysis. The lower costs with TIP per QALY gained ranged from −US$68,554 to −US$174,683 as the odds ratio varied across the CI. Mean improvement in FEV1 % predicted with TIP serves as the second important parameter followed by utility for patients (QALYs) and rate of severe exacerbations with TIP for patients with FEV1 between 40 and 70%. Across all the scenarios analysed, TIP emerged as a dominant strategy (i.e. more effective and less costly), thereby ensuring the robustness of the current analysis (Fig. 4a). In the PSA results, the incremental QALY values ranged from 0.16 to 0.2 and incremental costs ranged from −US$20,000 to −US$26,000, and TIP was dominant over TIS in 100% of the simulations (Fig. 4b).
Fig. 4

a One-way sensitivity analyses—tornado chart. b Probabilistic sensitivity analysis. QALYs quality-adjusted life-years, FEV forced expiratory volume in 1 s, TIP tobramycin inhalation powder, TIS tobramycin inhalation solution, ICER incremental cost-effectivenes ratio

a One-way sensitivity analyses—tornado chart. b Probabilistic sensitivity analysis. QALYs quality-adjusted life-years, FEV forced expiratory volume in 1 s, TIP tobramycin inhalation powder, TIS tobramycin inhalation solution, ICER incremental cost-effectivenes ratio

Discussion

The results of this pharmacoeconomic assessment showed that TIP is a dominant treatment strategy associated with lower costs and higher QALYs as compared with TIS in CF patients with chronic pulmonary P. aeruginosa infection over a 10-year time horizon in the US setting. Similar results were observed over time horizons of 2 and 5 years. These findings were supported by the PSA where across all the simulations run, TIP emerged as the dominant treatment strategy compared to TIS. It is important to note that these cost savings were largely driven by the reduction in pulmonary exacerbation costs with the use of TIP over TIS assuming high adherence to TIP and low adherence to TIS, and partly by costs associated with nebuliser, which is required for administering TIS. These findings were further substantiated by one-way sensitivity analyses considering high adherence to TIP and low adherence to TIS. Published data show that long-term treatment of chronic P. aeruginosa infection in patients with CF is costly, and the overall benefits are highly dependent on the treatment regimen, patient satisfaction, and patient adherence [46]. DPI formulations may have an advantage over the aerosolized formulations in terms of patient satisfaction by shortening the administration time and eliminating the burden of nebuliser maintenance, and therefore, patient adherence [17]. Increased adherence to the treatment may therefore result in better health outcomes such as fewer pulmonary exacerbations and hospitalisations. However, there are limited data comparing the clinical and cost-effectiveness outcomes of DPI versus aerosolized formulations in a real-world scenario, thereby limiting the decision making by healthcare practitioners. The current model was therefore developed to assess the potential health economic benefit of improved adherence with TIP over TIS in the US setting. The model inputs were primarily derived from the EAGER study [15] as this study compared the efficacy of TIP and TIS by evaluating the standard efficacy outcomes, i.e. FEV1 % predicted in a large population with CF and chronic pulmonary P. aeruginosa infection over a period of 6 months. Another advantage of using the EAGER study for model inputs was that >60% of the patients enrolled in the EAGER study were from North America [15], which supports the extrapolation of these data to a larger US population. Inhaled antibiotics other than tobramycin were not used in this model as the aim of the analysis was to compare the inhaled versus aerosolized formulation of tobramycin, therefore excluding any potential bias that may arise from evaluating another drug with a different efficacy and safety profile. The reduction in pulmonary exacerbations, as noted in this analysis, is expected to have a direct impact on QALYs [32]. The QALYs have a high clinical relevance as patients with CF often report a poor HRQoL due to decline in FEV1 % predicted and occurrence of pulmonary exacerbations [47]. These analyses suggest that TIP provides increased benefits at lower costs as compared to TIS. However, it should be noted that there are no published data from the USA comparing the cost-effectiveness of DPI and aerosolised solution in patients with CF and chronic pulmonary P. aeruginosa infection, precluding any comparisons with published literature. Nevertheless, published studies support the cost-effectiveness and the efficient use of other DPIs in chronic obstructive pulmonary disease [48, 49]. To the best of our knowledge, this is the first cost-effectiveness analysis of TIP versus TIS for treating chronic pulmonary P. aeruginosa infection in patients with CF in the US setting, thus exploring the economic value of DPI over aerosolized formulation. However, the current analysis has several limitations. First, the evaluation was limited by insufficient evidence on resource use and costs in the USA to make adequate comparisons. Resource utilisation and utility data were therefore obtained from a UK-based study, and these were not treatment specific. Second, the model did not assess treatment outcomes over a prolonged period, impact of P. aeruginosa sputum density, or long-term treatment adherence. Third, the adherence data obtained from a real-world study conducted shortly after approval of TIP may not reflect current adherence patterns to TIP in the USA [15, 17]. However, there are no other available data to our knowledge that assessed more recent adherence patterns to TIP. Nonetheless, the present analysis has a high relevance as the model was based on the best available evidence, and the assumptions were based on published data from real-world studies. Also, the additional analyses performed by varying adherence would help in clinical decision-making according to the different scenarios, with a focus on cost-effectiveness.

Conclusion

TIP is likely be a more cost-effective treatment strategy than TIS assuming high adherence to TIP, and the use of TIP over TIS may reduce the economic burden of CF. Comprehensive assessment will require long-term comparative data. Nevertheless, the results of this analysis give insight into the cost-effectiveness of TIP for treating chronic pulmonary P. aeruginosa infection in patients with CF in the US setting, and hence may allow an efficient distribution of healthcare resources.
This is the first cost-effectiveness analysis of tobramycin inhalation powder (TIP) versus tobramycin inhalation solution (TIS) for the treatment of chronic pulmonary Pseudomonas aeruginosa infection in patients with cystic fibrosis (CF) in the US setting, thus exploring the economic value of dry powder inhaler over aerosolised formulation.
Results showed that TIP is associated with lower costs and greater quality-adjusted-life-years as compared with TIS.
Use of TIP over TIS is likely to reduce the economic burden of CF in the USA.
  34 in total

1.  Novel tobramycin inhalation powder in cystic fibrosis subjects: pharmacokinetics and safety.

Authors:  David E Geller; Michael W Konstan; Jeffrey Smith; Sarah B Noonberg; Carol Conrad
Journal:  Pediatr Pulmonol       Date:  2007-04

2.  Risk factors for rate of decline in forced expiratory volume in one second in children and adolescents with cystic fibrosis.

Authors:  Michael W Konstan; Wayne J Morgan; Steven M Butler; David J Pasta; Marcia L Craib; Stefanie J Silva; Dennis C Stokes; Mary Ellen B Wohl; Jeffrey S Wagener; Warren E Regelmann; Charles A Johnson
Journal:  J Pediatr       Date:  2007-06-22       Impact factor: 4.406

3.  Resource use, costs, and utility estimates for patients with cystic fibrosis with mild impairment in lung function: analysis of data collected alongside a 48-week multicenter clinical trial.

Authors:  Esi Morgan Dewitt; Chelsea A Grussemeyer; Joëlle Y Friedman; Michaela A Dinan; Li Lin; Kevin A Schulman; Shelby D Reed
Journal:  Value Health       Date:  2012-01-27       Impact factor: 5.725

4.  Improving rate of decline of FEV1 in young adults with cystic fibrosis.

Authors:  C Que; P Cullinan; D Geddes
Journal:  Thorax       Date:  2005-12-29       Impact factor: 9.139

5.  Inhaled versus nebulised tobramycin: a real world comparison in adult cystic fibrosis (CF).

Authors:  M J Harrison; M McCarthy; C Fleming; C Hickey; C Shortt; J A Eustace; D M Murphy; B J Plant
Journal:  J Cyst Fibros       Date:  2014-05-10       Impact factor: 5.482

6.  Longitudinal trends in health-related quality of life in adults with cystic fibrosis.

Authors:  Edward J Dill; Ree Dawson; Deborah E Sellers; Walter M Robinson; Gregory S Sawicki
Journal:  Chest       Date:  2013-09       Impact factor: 9.410

7.  Quality of life and healthcare utilisation in cystic fibrosis: a multicentre study.

Authors:  Judy M Bradley; Steven W Blume; Maria-Magdalena Balp; David Honeybourne; J Stuart Elborn
Journal:  Eur Respir J       Date:  2012-07-26       Impact factor: 16.671

8.  Cost of care for cystic fibrosis: an investigation of cost determinants using national registry data.

Authors:  Yuanyuan Gu; Sonia García-Pérez; John Massie; Kees van Gool
Journal:  Eur J Health Econ       Date:  2014-08-09

Review 9.  Cystic fibrosis pulmonary guidelines: treatment of pulmonary exacerbations.

Authors:  Patrick A Flume; Peter J Mogayzel; Karen A Robinson; Christopher H Goss; Randall L Rosenblatt; Robert J Kuhn; Bruce C Marshall
Journal:  Am J Respir Crit Care Med       Date:  2009-09-03       Impact factor: 21.405

10.  Impact of exacerbations on health care cost and resource utilization in chronic obstructive pulmonary disease patients with chronic bronchitis from a predominantly Medicare population.

Authors:  Margaret K Pasquale; Shawn X Sun; Frank Song; Heather J Hartnett; Stephen A Stemkowski
Journal:  Int J Chron Obstruct Pulmon Dis       Date:  2012-11-01
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.