Clinical and Economic Outcomes in Elderly Advanced Renal Cell Carcinoma Patients Starting Pazopanib or Sunitinib Treatment: A Retrospective Medicare Claims Analysis
verfasst von:
Nicholas J. Vogelzang, Sumanta K. Pal, Sameer R. Ghate, Elyse Swallow, Nanxin Li, Miranda Peeples, Miriam L. Zichlin, Mark K. Meiselbach, Jose Ricardo Perez, Neeraj Agarwal
Studies indicate similar survival and toxicity between pazopanib and sunitinib, but few have examined real-world outcomes among elderly patients with advanced renal cell carcinoma (RCC). The purpose of this retrospective claims analysis was to assess real-world overall survival (OS), healthcare resource utilization (HRU), and healthcare costs (both all-cause and associated with RCC diagnosis) among elderly advanced RCC patients starting pazopanib or sunitinib treatment.
Methods
Advanced RCC patients aged 65 years or older who started first-line treatment with pazopanib or sunitinib (index drug; the initiation date was the index date) were identified from the 100% Medicare database plus Part D linkage (January 1, 2006 to December 31, 2014). Patients were stratified by index drug and matched 1:1 with use of propensity scores based on baseline characteristics. OS was assessed from the index date to death and compared by Kaplan–Meier analyses and univariable Cox models; patients were censored at the end of eligibility/data. Monthly HRU and costs from an intent-to-treat perspective were compared by Wilcoxon signed-rank tests.
Results
Baseline characteristics were balanced after matching (both N = 522). Treatment with pazopanib was associated with significantly longer median OS compared with treatment with sunitinib (18.2 months vs 14.6 months, respectively; log-rank p = 0.015). Pazopanib was associated with significantly lower monthly all-cause costs compared with sunitinib ($8845 vs $10,416, respectively), as well as lower inpatient costs associated with RCC diagnosis ($1542 vs $2522), fewer monthly inpatient admissions (0.179 vs 0.262), and shorter length of inpatient stay (1.375 days vs 1.883 days; all p ≤ 0.004).
Conclusions
Among elderly Medicare patients with advanced RCC, first-line pazopanib tretament was associated with significantly longer OS, as well as lower healthcare costs and HRU, compared with first-line sunitinib treatment.
Renal cell carcinoma (RCC) is one of the ten most common cancers in the USA, with approximately 63,990 new cases expected to be diagnosed in 2017 [1, 2]. Older patients have an increased risk of RCC, which is typically diagnosed between the ages of 50 and 70 years [3]. Many RCC patients receive a de novo diagnosis of advanced RCC (aRCC) [locally advanced (25%) or metastatic (30%)] or progress to advanced disease stages [4]. Despite advances in therapy and early detection methods, the incidence of RCC and the RCC-related mortality rate have increased over time [5‐8].
Among the vascular endothelial growth factor receptor tyrosine kinase inhibitors (TKIs) approved for first-line aRCC therapy, the angiogenesis inhibitors pazopanib (approved in 2009) and sunitinib (approved in 2006) are two common oral treatment options [9‐11]. Although pazopanib and sunitinib were found to have similar overall survival (OS) in the noninferiority clinical trial COMPARZ, real-world evidence has been mixed, and outcomes may differ depending on the age of the patient [11‐13]. For example, OS was found to be similar among patients receiving pazopanib or sunitinib in the International Metastatic Renal Cell Carcinoma Database Consortium (IMDC) [12], but a recent retrospective claims analysis of Surveillance, Epidemiology, and End Results (SEER)–Medicare data (median age 68 years) reported longer OS with first-line pazopanib treatment versus first-line sorafenib or sunitinib treatment [13]. Conversely, Canadian adults with metastatic RCC (mRCC) experienced longer OS with first-line sunitinib treatment versus first-line pazopanib treatment (31.7 months vs 20.6 months, p = 0.028) according to a prospective database study (2011–2015) published in 2017 [14]. In addition, pazopanib may be better tolerated in elderly patients and in those with multiple comorbidities, which may impact patients’ healthcare resource utilization (HRU) and healthcare costs [15]. Pazopanib was preferred over sunitinib among patients with aRCC (70%) as well as physicians (61%) in the randomized crossover trial PISCES, which assessed patient preference for these drugs as well the drugs’ toxicity and tolerability [16]. Furthermore, several studies have noted lower costs and more quality-of-life years among RCC patients who received first-line pazopanib treatment versus first-line sunitinib treatment [17‐19], although it is unclear whether this also applies to older patients.
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Although more than half of patients receive a diagnosis of RCC after the age of 65 years [20], to our knowledge, no studies have specifically assessed real-world clinical and economic outcomes among elderly patients with aRCC. Such assessments could provide insight into the comparative benefits of vascular endothelial growth factor receptor TKIs and help inform treatment selection. Therefore, to address this gap in the literature, the present study assessed real-world OS, HRU, and healthcare costs among elderly patients with aRCC in the Medicare database who started first-line pazopanib or sunitinib treatment.
Methods
Data Source
The data used in this study were retrieved from the 100% Medicare database plus Part D linkage (spanning January 1, 2006 to December 31, 2014) provided by the Centers for Medicare & Medicaid Services. This database contains de-identified information collected by Medicare to pay for medical services provided to beneficiaries, and complies with the patient confidentiality requirements of the Health Insurance Portability and Accountability Act. The data included enrollment and claims history from Medicare Part A and Part B, and prescription and drug information from Medicare Part D. The New England Institutional Review Board granted this study an exemption from institutional review board review on November 6, 2015. This article does not contain any new studies with humans or animals performed by any of the authors.
Sample Selection
Eligible patients had at least two RCC diagnoses [International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) codes 189.0x and 189.1x] on different days and at least two diagnoses of secondary neoplasm (ICD-9-CM codes 196.xx–199.xx) on different days. The earliest diagnosis of secondary neoplasm was required to be on or after the earliest diagnosis of RCC. Patients were also required to have started first-line treatment with pazopanib or sunitinib (index drug) on or after the first diagnosis of secondary neoplasm and between October 19, 2009 (the approval date of pazopanib), and January 1, 2014, to ensure at least 1 year of potential follow-up. The date of index drug treatment initiation was defined as the index date. Additionally, patients were required to be at least 65 years old at the start of the baseline period (defined as the 1 year before the index date) and to have continuous Medicare eligibility at least 1 year before and 1 month after the index date. Patients enrolled in a clinical trial (ICD-9-CM code V70.7) were excluded. Eligible patients were stratified into two cohorts (pazopanib or sunitinib) on the basis of the index drug.
Baseline Characteristics
Patient demographic and clinical characteristics (age, sex, race, follow-up duration from the index date, and year of RCC diagnosis) were assessed on the index date. During the baseline period, metastatic sites (i.e., lung, lymph node, bone, and liver), comorbidities (i.e., cardiovascular disease, hypertension, chronic pulmonary disease, diabetes, renal failure, and liver disease), and the Charlson comorbidity index score were assessed [21, 22].
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Per-patient per-month (PPPM) healthcare costs were assessed during the baseline period. Healthcare costs (inflated to 2015 US dollars with use of the Consumer Price Index medical component) from the payer’s perspective were identified by the Medicare paid amount [23]. Cost categories included total all-cause healthcare costs, pharmacy costs, medical costs (inpatient, emergency department, and outpatient), as well as skilled nursing facility costs, home health agency costs, and the costs of other medical services (e.g., laboratory tests).
Propensity Score Matching
One-to-one propensity score matching between the pazopanib and sunitinib cohorts was used to account for observable differences at the baseline. Propensity scores were calculated by logistic regression analysis. Covariates included age, sex, race, RCC diagnosis year, metastatic sites, comorbidities, Charlson comorbidity index, and baseline all-cause inpatient costs, outpatient costs, emergency department costs, and pharmacy costs.
Outcomes
OS, HRU, and healthcare costs were assessed among the propensity-matched cohorts during the study period. OS was defined as the time from the index date to the date of death from any cause. All-cause HRU and healthcare costs were assessed on a PPPM basis during the study period, measured from treatment initiation to the end of follow-up (intent-to-treat perspective). In addition, HRU and healthcare costs were summarized among claims with an ICD-9-CM diagnosis code for RCC (i.e., HRU and healthcare costs associated with RCC diagnosis). Measures of all-cause HRU and HRU associated with RCC diagnosis included inpatient admissions, days, and readmissions (i.e., an inpatient admission within 30 days of a preceding inpatient discharge), emergency department visits, and outpatient visits. All-cause healthcare costs included total healthcare costs, pharmacy costs, medical costs (inpatient, emergency department, and outpatient), as well as skilled nursing facility costs, home health agency costs, and the costs for other medical services (e.g., laboratory tests). Healthcare costs associated with RCC diagnosis included inpatient costs, emergency department costs, and outpatient costs.
Time on treatment (TOT) with the first targeted therapy was calculated as the time from the index date to the earliest of treatment discontinuation (a prescription gap of more than 90 days) or death from any cause [24]. Subsequent treatments started during the study period as second and third targeted therapies following first-line pazopanib or sunitinib treatment were also assessed among the matched targeted therapy cohorts.
Statistical Analyses
Baseline characteristics were compared between the unmatched pazopanib and sunitinib cohorts by Wilcoxon rank-sum tests for continuous variables and χ2 tests for categorical variables. Baseline characteristics and outcomes were compared between the matched cohorts by Wilcoxon signed-rank tests for continuous variables and McNemar tests for categorical variables. Proportions and means with standard deviations were reported before and after propensity score matching; medians were also reported after matching.
OS was compared between the matched targeted therapy cohorts with use of Kaplan–Meier analyses with log-rank tests and univariable Cox proportional hazards models that reported the hazard ratio with the 95% confidence interval. Patients without an event were censored at the end of continuous eligibility or the study period (December 31, 2014), whichever occurred earlier.
HRU and healthcare costs during the study period, both all-cause and associated with RCC diagnosis, were compared between the matched cohorts by Wilcoxon signed-rank tests; differences in mean costs were computed. In all comparative analyses, p < 0.05 was used to determine significance.
TOT was assessed by Kaplan–Meier analysis. Subsequent treatments were assessed as the number and proportion of patients starting each type of targeted therapy among patients who started a second or third targeted therapy.
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Results
Baseline Characteristics
A total of 1711 patients older than 65 years met all criteria for inclusion (Fig. 1). Of these, 526 started first-line pazopanib treatment and 1185 started first-line sunitinib treatment. Patient baseline characteristics were largely similar between the cohorts before matching, with a few exceptions (Table 1). Both cohorts had a mean age of approximately 75 years (pazopanib cohort 74.8 ± 6.0 years, sunitinib cohort 74.7 ± 5.9 years) and were approximately 58% male (58.4% and 57.6%, respectively). Compared with the sunitinib cohort, larger proportions of patients in the pazopanib cohort were white (88.0% vs 83.8%, respectively; p = 0.024), received a diagnosis of RCC during 2010–2014 (61.4% vs 53.8%; p = 0.003), and had lung metastases (56.7% vs 50.3%; p = 0.015). At the baseline, patients in the pazopanib cohort also had higher monthly outpatient costs ($404 ± $414 vs $344 ± $395; p < 0.001) but lower monthly all-cause pharmacy costs ($143 ± $261 vs $161 ± $324; p = 0.004) compared with patients in the sunitinib cohort. Propensity score matching of the pazopanib and sunitinib cohorts yielded 522 matched pairs with balanced baseline characteristics (Table 1).
Fig. 1
Sample selection of adult patients with aRCC who received first targeted therapy with pazopanib or sunitinib. aRCC Advanced renal cell carcinoma, ICD-9-CM International Classification of Diseases, Ninth Revision, Clinical Modification, N Number
Table 1
Baseline characteristics among the first targeted therapy cohorts, before and after propensity score matching
Before matching
After matching
Pazopanib (N = 526)
Sunitinib (N = 1185)
p
Pazopanib (N = 522)
Sunitinib (N = 522)
p
Demographics at index date
Age (years)a,b
74.8 ± 6.0
74.7 ± 5.9
0.733
74.8 ± 6.0 (74.0)
75.2 ± 6.3 (74.5)
0.354
Malea
307 (58.4%)
682 (57.6%)
0.754
305 (58.4%)
303 (58.0%)
0.900
Racea
White
463 (88.0%)
993 (83.8%)
0.024c
459 (87.9%)
460 (88.1%)
0.917
Black
29 (5.5%)
85 (7.2%)
0.204
29 (5.6%)
25 (4.8%)
0.572
Other or unknown
34 (6.5%)
107 (9.0%)
0.075
34 (6.5%)
37 (7.1%)
0.705
Follow-up duration after the index date (months)b
15.7 ± 10.7
17.2 ± 13.7
0.570
15.7 ± 10.7 (14.7)
15.7 ± 12.5 (13.8)
0.919
Year of RCC diagnosisa
2006–2009
203 (38.6%)
548 (46.2%)
0.003c
202 (38.7%)
200 (38.3%)
0.888
2010–2014
323 (61.4%)
637 (53.8%)
0.003c
320 (61.3%)
322 (61.7%)
0.888
Metastatic sitesa
Lung
298 (56.7%)
596 (50.3%)
0.015c
294 (56.3%)
280 (53.6%)
0.358
Lymph node
102 (19.4%)
187 (15.8%)
0.066
100 (19.2%)
102 (19.5%)
0.876
Bone
168 (31.9%)
405 (34.2%)
0.365
167 (32.0%)
171 (32.8%)
0.792
Liver
75 (14.3%)
175 (14.8%)
0.783
75 (14.4%)
76 (14.6%)
0.931
CCI a, b
9.2 ± 2.4
9.2 ± 2.4
0.811
9.2 ± 2.4 (9.0)
9.2 ± 2.4 (9.0)
0.956
Comorbiditiesa
Cardiovascular disease
343 (65.2%)
737 (62.2%)
0.233
341 (65.3%)
338 (64.8%)
0.842
Hypertension
474 (90.1%)
1072 (90.5%)
0.821
470 (90.0%)
471 (90.2%)
0.916
Chronic pulmonary disease
181 (34.4%)
438 (37.0%)
0.311
181 (34.7%)
177 (33.9%)
0.791
Diabetes
227 (43.2%)
569 (48.0%)
0.063
227 (43.5%)
223 (42.7%)
0.797
Renal failure
248 (47.1%)
547 (46.2%)
0.705
246 (47.1%)
264 (50.6%)
0.279
Liver disease
27 (5.1%)
78 (6.6%)
0.249
27 (5.2%)
19 (3.6%)
0.228
Monthly per-patient healthcare costs to the payer (2015 US dollars)b
Total all-cause healthcare costs
3005 ± 3133
2952 ± 3074
0.797
2998 ± 3142 (2030)
3114 ± 2792 (2216)
0.244
Total all-cause medical costs
2862 ± 3081
2791 ± 3035
0.968
2855 ± 3090 (1902)
2960 ± 2747 (2028)
0.243
Inpatient costsa
1629 ± 2498
1601 ± 2355
0.394
1633 ± 2506 (831)
1700 ± 2194 (1145)
0.290
Emergency department costsa
37 ± 76
43 ± 103
0.631
37 ± 76 (0)
39 ± 80 (0)
0.927
Outpatient costsa
404 ± 414
344 ± 395
<0.001c
393 ± 369 (295)
388 ± 448 (269)
0.146
Skilled nursing facility costs
117 ± 497
146 ± 604
0.258
118 ± 499 (0)
138 ± 557 (0)
0.577
Home health agency costs
106 ± 264
100 ± 265
0.581
106 ± 265 (0)
103 ± 256 (0)
0.884
Other medical service costs
569 ± 723
557 ± 784
0.459
568 ± 723 (331)
593 ± 798 (319)
0.700
Total all-cause pharmacy costsa
143 ± 261
161 ± 324
0.004c
143 ± 262 (91)
154 ± 311 (112)
0.108
Baseline characteristics were assessed during the 1 year before initiation of the first targeted therapy with pazopanib or sunitinib.
CCI Charlson comorbidity index, RCC renal cell carcinoma
aCovariate used in the propensity score matching
bThe mean and standard deviation are given, with the median in parentheses.
cp < 0.05 for pairwise comparison of the pazopanib cohort with the sunitinib cohort; before propensity score matching, Wilcoxon rank-sum tests were used for continuous variables and χ2 tests were used for categorical variables; after matching, Wilcoxon signed-rank tests were used for continuous variables and McNemar tests were used for categorical variables
×
Overall Survival
Among elderly patients with aRCC, first-line pazopanib treatment was associated with significantly longer OS compared with first-line sunitinib treatment (hazard ratio 0.83, 95% confidence interval 0.72–0.97; p = 0.016). Median OS was 18.2 months among the pazopanib cohort and 14.6 months among the sunitinib cohort (log-rank p = 0.015; Fig. 2). Among patients in the pazopanib cohort, 317 experienced an event and 205 were censored. Among patients in the sunitinib cohort, 378 experienced an event and 144 were censored.
Fig. 2
Kaplan–Meier curve of overall survival by first targeted therapy among propensity-score-matched elderly patients with advanced renal cell carcinoma (aRCC)
×
HRU and Healthcare Costs
During the study period, first-line pazopanib treatment was associated with significantly fewer PPPM inpatient admissions (0.179 vs 0.262, mean difference 0.082; p < 0.001) and inpatient days (1.375 vs 1.883, mean difference 0.508; p = 0.004) compared with first-line sunitinib treatment (Table 2). The trend was similar for HRU associated with an RCC diagnosis. The pazopanib cohort had significantly fewer mean monthly inpatient admissions associated with an RCC diagnosis (0.174 vs 0.246, mean difference 0.072; p = 0.004) and inpatient days (1.073 vs 1.578, mean difference 0.505; p = 0.006) compared with the sunitinib cohort.
Table 2
Comparison of healthcare resource utilization and healthcare costs by first targeted therapy among the post-propensity-score-matched cohorts
Pazopanib (N = 522)
Sunitinib (N = 522)
Mean difference (A − B)
p
Mean (A) ± SD
Median
Mean (B) ± SD
Median
Monthly per-patient resource use
All-cause use
Inpatient admissions
0.179 ± 0.256
0.097
0.262 ± 0.379
0.123
−0.082
<0.001a
Inpatient days
1.375 ± 2.369
0.507
1.883 ± 3.325
0.724
−0.508
0.004a
Inpatient readmissions
0.046 ± 0.155
0.000
0.068 ± 0.217
0.000
−0.022
0.114
Emergency department visits
0.092 ± 0.169
0.032
0.104 ± 0.173
0.034
−0.012
0.429
Outpatient visits
1.275 ± 1.112
1.041
1.337 ± 1.272
0.993
−0.062
0.544
Associated with an RCC diagnosis
Inpatient admissions
0.174 ± 0.263
0.084
0.246 ± 0.387
0.103
−0.072
0.004a
Inpatient days
1.073 ± 2.030
0.339
1.578 ± 3.162
0.487
−0.505
0.006a
Inpatient readmissions
0.050 ± 0.164
0.000
0.068 ± 0.235
0.000
−0.019
0.490
Emergency department visits
0.041 ± 0.097
0.000
0.044 ± 0.109
0.000
−0.002
0.778
Outpatient visits
0.862 ± 0.885
0.655
0.841 ± 0.858
0.575
0.021
0.580
Monthly per-patient healthcare costs to the payer (2015 US dollars)
All-cause costs
Total all-cause healthcare costs
8845 ± 6855
7484
10,416 ± 9245
8156
−1571
0.002a
Total all-cause medical costs
5460 ± 6627
3459
6904 ± 8741
4447
−1444
0.002a
Inpatient
2914 ± 5888
1077
4035 ± 8098
1464
−1120
0.003a
Emergency department
79 ± 166
12
97 ± 215
15
−18
0.183
Outpatient
523 ± 619
316
513 ± 720
292
10
0.525
Skilled nursing facility
318 ± 1049
0
445 ± 1346
0
−128
0.061
Home health agency
244 ± 425
0
305 ± 585
0
−61
0.166
Other medical services
1381 ± 1583
860
1509 ± 1608
966
−128
0.191
Total all-cause pharmacy costs
3385 ± 2580
3003
3512 ± 2503
3172
−127
0.395
Associated with an RCC diagnosis
Inpatient costs
1542 ± 3671
280
2522 ± 6856
550
−980
0.002a
Emergency department costs
29 ± 87
0
33 ± 124
0
−4
0.487
Outpatient costs
346 ± 511
168
321 ± 575
141
25
0.130
Healthcare resource utilization and healthcare costs were measured from treatment initiation to the end of follow-up (intent to treat).
RCC renal cell carcinoma, SD standard deviation
ap < 0.05 for pairwise comparison of the pazopanib cohort with the sunitinib cohort using Wilcoxon signed-rank tests.
Additionally, the pazopanib cohort incurred significantly lower monthly total all-cause healthcare costs ($8845 vs $10,416, mean difference $1571; p = 0.002), total all-cause medical costs ($5460 vs $6904, mean difference $1444; p = 0.002), and all-cause inpatient costs ($2914 vs $4035, mean difference $1120; p = 0.003) compared with the sunitinib cohort (Table 2). Again, a similar trend was observed for costs associated with an RCC diagnosis: the pazopanib cohort had significantly lower monthly inpatient costs associated with an RCC diagnosis ($1542 vs $2522, mean difference $980; p = 0.002) compared with the sunitinib cohort.
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Treatment Patterns
First targeted therapy with pazopanib was associated with a median TOT of 4.8 months; first targeted therapy with sunitinib was associated with a median TOT of 4.1 months [24]. A similar proportion of patients started a second targeted therapy in the pazopanib and sunitinib cohorts (45.8% vs 42.9%); 17.8% of both cohorts started a third targeted therapy (see Fig. S1). Among the pazopanib cohort, the three most common second-line targeted therapies were everolimus (37.7%), axitinib (18.4%), and sunitinib (18.4%); the three most common third-line therapies were axitinib (35.5%), everolimus (21.5%), and sunitinib (14.0%). Among the sunitinib cohort, the three most common second-line targeted therapies were everolimus (34.8%), temsirolimus (26.3%), and pazopanib (17.9%); the three most common third-line therapies were everolimus (25.8%), axitinib (19.4%), and pazopanib (18.3%).
Discussion
This real-world claims analysis found that among elderly patients with aRCC enrolled in Medicare, first-line pazopanib treatment was associated with significantly longer OS compared with first-line sunitinib treatment (18.2 months vs 14.6 months, respectively). In addition, patients who received pazopanib had fewer monthly inpatient visits and days (both all-cause and associated with an RCC diagnosis), lower all-cause healthcare, medical, and inpatient costs, and lower inpatient costs associated with an RCC diagnosis compared with patients receiving sunitinib.
Prior comparisons of OS among patients with aRCC receiving pazopanib versus sunitinib have differed in study design, patient population, and results. For example, both the COMPARZ study, a phase III clinical trial involving patients with mRCC receiving first-line pazopanib or sunitinib treatment, and a real-world study using data from the IMDC found no significant differences in OS [11, 12]. However, the median ages of the patient populations in the COMPARZ trial were 61–62 years, and in the IMDC study the median ages were 62–65 years [11, 12]. In contrast, a retrospective claims analysis of patients with a median age of 68 years using SEER–Medicare data reported that first-line pazopanib treatment was associated with significantly longer OS compared with first-line sorafenib or sunitinib treatment [13]. Although the sample size for pazopanib was small (N = 89) in the study using SEER–Medicare data, this finding suggests that older age may impact the relative efficacy of pazopanib versus sunitinib in a real-world setting.
Older patients with RCC differ from younger patients in terms of frailty, organ reserve, and ability to tolerate treatment toxicity [25]. An analysis of elderly patients in six clinical trials of sunitinib reported similar OS among younger versus older patients with mRCC, but higher rates of several treatment-emergent adverse events among older patients; a similar analysis of pazopanib-treated patients has not been conducted [26]. However, in a randomized crossover trial (PISCES) comparing the effects of toxicity and tolerability of pazopanib and sunitinib on preferences of patients with aRCC, 70% of patients and 61% of clinicians preferred pazopanib [16]. Additionally, older patients with RCC typically have a higher comorbidity burden, and pazopanib is generally better tolerated by patients with high burden of comorbidities [15, 27, 28]. Therefore, it is possible that older patients with RCC experienced longer OS with pazopanib in the current analysis because of its superior tolerability, differentiated safety profile, or better quality of life versus sunitinib [11, 16, 29]. This is not to suggest that pazopanib would not be suitable for younger, healthier patients with aRCC; indeed, a 2017 review of the literature by Porta et al.[30] suggests that young and fit patients also stand to experience substantial benefits from pazopanib.
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In addition, the intermittent interruption of TKI therapy with sunitinib (i.e., 4 weeks of therapy followed by 2 weeks without therapy) may have adverse effects on outcomes, and several studies have reported that alternative sunitinib schedules to maintain dosing density over 6-week cycles are associated with improved outcomes and tolerability [31, 32]. A potential mechanism behind the worse outcomes with intermittent sunitinib therapy may be compensatory angiogenesis and tumor proliferation during sunitinib “off-time,” as has been suggested in a phase II trial of sunitinib in mRCC [31, 33]. Sunitinib dose reductions are common during the first cycle among elderly patients with mRCC, and may reduce real-world treatment efficacy [34]. Unnecessary sunitinib dose reductions and treatment interruptions, which may occur during the first or subsequent cycles, have been correlated with a poorer prognosis and increased incidence of adverse events among patients with aRCC in the real world [32]. Thus, alternative dosing schedules that reduce the time the patient is not receiving therapy but maintain therapeutic blood plasma levels, such as every-other-day or low continual dosing [35], might warrant further investigation among elderly aRCC patients receiving sunitinib.
Furthermore, the current study’s finding of significantly longer OS among patients in the pazopanib cohort may be partially explained by subsequent treatments. A higher proportion of pazopanib-treated versus sunitinib-treated patients used axitinib in the second line, and this difference could impact patient outcomes. Studies indicate that patients who start axitinib treatment in the second line have superior OS compared with patients who start second-line temsirolimus treatment [36, 37]. In the current study, a higher proportion of patients who received first-line pazopanib treatment received second-line axitinib treatment (18.4%) compared with patients who received first-line sunitinib treatment (12.1%). Conversely, a lower proportion of the pazopanib cohort started second-line temsirolimus treatment (15.9%) compared with the sunitinib cohort (26.3%). This finding suggests there may be a difference in treatment options offered to patients between physicians prescribing first-line pazopanib treatment versus first-line sunitinib treatment, although the current study was conducted at the patient level and thus cannot assess physician treatment preferences. Further studies of physician expertise and behavior in caring for elderly patients with aRCC, and how these characteristics affect patient outcomes, are needed.
In the present analysis, differences in total healthcare costs were largely driven by lower medical costs among patients treated with pazopanib. Within medical costs, reduced inpatient admissions and inpatient costs among the pazopanib cohort were the driving component. Pazopanib has been reported to be more cost-effective than sunitinib among both clinical and real-world patients with aRCC, although these studies have not focused specifically on elderly patients. Racsa et al. [19] examined commercial and Medicare claims of patients with aRCC of any age who started pazopanib or sunitinib treatment, and found higher medication and healthcare costs among sunitinib-treated patients. A 2015 claims analysis using data from the Truven MarketScan database came to similar conclusions regarding lower HRU and healthcare costs among patients with aRCC starting first-line pazopanib treatment versus first-line sunitinib treatment [18]. A 2015 cost-effectiveness analysis compared pazopanib and sunitinib for first-line mRCC treatment in the USA using data from pivotal trials [11, 16], and found that pazopanib was associated with more quality-adjusted life years at lower cost compared with sunitinib [17]. However, a 2016 study using claims of commercially insured patients in the Truven MarketScan database reported that after substitution of a 42-day sunitinib supply (vs 28 or 32 days), there were no significant differences in costs compared with pazopanib [38]. Also of note, pazopanib has been found to be a more cost-effective treatment (irrespective of age) than sunitinib for aRCC in non-US health systems [39].
Although claims data comprise a large and valid real-world data sample, this study is subject to the limitations inherent in retrospective observational studies using claims data. Administrative claims data contain only diagnostic and procedure codes recorded for reimbursement purposes. In addition, retrospective databases may be subject to coding errors or data omissions, and patients may not have used the recorded medication as prescribed after a prescription has been filled. Thus, treatment initiation dates are approximate. Clinical measures of disease severity, including the results of laboratory tests and risk assessments, are not available in claims data and could not be included in the propensity score matching. The propensity score matching controlled for characteristics at the baseline. Factors that changed after the index date (e.g., new metastases, comorbidities, or treatments) that may have impacted clinical outcomes were not included in the match. Finally, the current study included only patients aged 65 years or older with aRCC who were covered by Medicare. The results may not generalize to other populations, such as Medicaid enrollees, the uninsured, or commercially insured patients with aRCC. This broad perspective does not provide insight into the reasons for treatment choice, including the preference to avoid particular adverse events.
Conclusions
In conclusion, this real-world claims analysis found that among elderly Medicare patients with aRCC, first-line pazopanib treatment was associated with significantly longer OS and lower healthcare costs and HRU (both all-cause and associated with an RCC diagnosis) compared with first-line sunitinib treatment.
Acknowledgements
Sponsorship for this study and article processing charges were funded by Novartis Pharmaceuticals Corporation. All authors had full access to all of the data in this study and take complete responsibility for the integrity of the data and accuracy of the data analysis. Medical writing assistance was provided by Shelley Batts, an employee of Analysis Group Inc. Support for this assistance was funded by Novartis Pharmaceuticals Corporation. All named authors meet the International Committee of Medical Journal Editors criteria for authorship for the manuscript, take responsibility for the integrity of the work as a whole, and have given final approval for the version to be published. A synopsis of the economic outcomes was presented at the American Society of Clinical Oncology Genitourinary Cancers Symposium 2017 (Orlando, FL, USA), February 16–18, 2017. A synopsis of the clinical outcomes was presented at the annual International Society for Pharmacoeconomics and Outcomes Research meeting (Boston, MA, USA), May 20–24, 2017. The results regarding the time patients received treatment with the first targeted therapy are also included in a manuscript submitted to the Journal of Managed Care Pharmacy; we cited the relevant conference abstract when discussing those results.
Disclosures
Sameer R. Ghate is an employee of Novartis and owns stock/stock options. Jose Ricardo Perez was an employee of Novartis during the conduct of the study and owns stock/stock options. Elyse Swallow is an employee of Analysis Group Inc., which has received consultancy fees from Novartis. Miranda Peeples is an employee of Analysis Group Inc., which has received consultancy fees from Novartis. Miriam L. Zichlin is an employee of Analysis Group Inc., which has received consultancy fees from Novartis. Mark K. Meiselbach is an employee of Analysis Group Inc., which has received consultancy fees from Novartis. Nanxin Li was an employee of Analysis Group Inc. during the conduct of the study. Neeraj Agarwal has been a consultant or advisor for Novartis, Pfizer, Exelixis, Cerulean Pharma, Medivation, Eisai, and Argos Therapeutics. Nicholas J. Vogelzang has been a consultant for Novartis, Amgen, Celgene, Medivation, Eisai, Exelixis, and Roche, has spoken at Novartis, Astellas, Johnson & Johnson, Pfizer, Dendreon, Bayer/Algeta, GlaxoSmithKline, and Veridex/Janssen, and has received research support from Novartis, Bayer, Exelixis, Progenics, Bavarian Nordic, and Viamet. Sumanta K. Pal has been a consultant for Novartis, Pfizer, Aveo, Dendreon, and Myriad, and has spoken at Novartis, Pfizer, and Medivation.
Compliance with Ethics Guidelines
The New England Institutional Review Board granted this study an exemption from institutional review board review on November 6, 2015. This article does not contain any new studies with humans or animals performed by any of the authors. The Medicare claims data were de-identified and complied in accordance with the requirements of the Health Insurance Portability and Accountability Act.
Data Availability
The datasets used for the current study are subject to a data use agreement between the Centers for Medicare & Medicaid Services and Analysis Group Inc. and are not publicly available. Information about the data used in this study, including detailed descriptions and the process for obtaining them, is available at https://www.resdac.org/.
Open Access
This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0), which permits use, duplication, adaptation, distribution, and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
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Clinical and Economic Outcomes in Elderly Advanced Renal Cell Carcinoma Patients Starting Pazopanib or Sunitinib Treatment: A Retrospective Medicare Claims Analysis
verfasst von
Nicholas J. Vogelzang Sumanta K. Pal Sameer R. Ghate Elyse Swallow Nanxin Li Miranda Peeples Miriam L. Zichlin Mark K. Meiselbach Jose Ricardo Perez Neeraj Agarwal
