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. 2016 Jun;22(6):10.18553/jmcp.2016.22.6.723. doi: 10.18553/jmcp.2016.22.6.723

Real-World Axitinib Use in the United States: A Retrospective Study Using Linked Datasets

Elizabeth MacLean 1,*, Laura Cisar 2, Kimberly Mehle 3, Daria Eremina 4, Jane M Quigley 5
PMCID: PMC10397709  PMID: 27231799

Abstract

BACKGROUND:

Axitinib is approved by the FDA for the treatment of advanced renal cell carcinoma (RCC) after failure of 1 previous systemic therapy and is distributed primarily through specialty pharmacies. Although the efficacy and safety of axitinib have been established in clinical trials, information from real-world populations will help to elucidate patients' clinical profiles and utilization patterns. Prescription records alone provide limited information on patient characteristics and other treatment experiences. Expansion of these data with information from medical claims databases should yield observational real-world data that may help to optimize therapy for patients with advanced RCC.

OBJECTIVE:

To link information from a specialty pharmacy database with information from medical and pharmacy claims databases to characterize real-world treatment patterns of axitinib as subsequent systemic therapy in patients with RCC in the United States.

METHODS:

This retrospective, observational, cohort study linked de-identified patient-level data from 22 specialty pharmacies that dispense axitinib with databases of longitudinal medical and pharmacy claims. Eligible patients had a diagnosis of RCC (> 1 claim for RCC defined as ICD-9-CM code 189.0), previously received > 1 systemic therapy, had the first prescription for axitinib dispensed between May 2012 and April 2013 (index), and had consistent claims reporting by pharmacies and physicians. All treatment data were used to calculate cycle, line of therapy, and duration of therapy; prescription data were used to determine axitinib dose modifications. Multivariate and logistic regression analyses were conducted to assess the effect of patient/prescriber characteristics on duration of axitinib therapy and dose modifications, respectively.

RESULTS:

In all, 1,175 patients met the study inclusion criteria and had data present in specialty pharmacy and claims databases. Most patients (74%) were male, and 68% were aged 55-74 years. Mean (SD) Charlson Comorbidity Index score was 2.7 (± 1.1); the most common comorbidity was hypertension (in 199 patients, 17%). Based on Rx-Risk-V, the most frequent concomitant conditions were pain (40%) and ischemic heart disease/hypertension (30%); the most frequent concomitant medications were antihypertensive medications (46%) and opiates (40%). Most prescribers (63%) were affiliated with an academic center, and all U.S. geographic regions were represented. In all, 847 patients (72%) had commercial insurance. Axitinib was prescribed as second-line therapy in 659 patients (56%), as third-line therapy in 326 patients (28%), and as fourth-line or later therapy in 190 patients (16%). In the overall population, mean (SD) duration of axitinib therapy was 168.6 (± 148.4) days. Axitinib treatment duration was 21 days longer in males than females (P = 0.013); 28 days longer in patients in the Northeast than in the Midwest or West (P = 0.010 and P = 0.016, respectively); and 26 days longer in patients receiving baseline hypothyroidism treatment (P = 0.004). In patients receiving second-line axitinib, the most common first-line therapy was sunitinib (56%), followed by pazopanib (16%) and everolimus (12%). Mean (SD) duration of second-line axitinib treatment was 172.3 (± 150.6) days and ranged from 127 days in patients who previously received temsirolimus to 196 days in those who previously received sorafenib. Of 1,025 patients who initiated axitinib at the standard 5 mg twice daily starting dose, 70% remained at this dose throughout treatment, whereas 10% had a dose increase. Younger age and gender (male) were associated with dose increases (OR = 0.958, 95% CI = 0.941-0.975 and OR = 0.573, 95% CI = 0.364-0.903, respectively). Baseline hypothyroidism treatment was associated with dose decreases and increases (OR = 1.662, 95% CI = 1.088-2.539 and OR = 2.149, 95% CI = 1.353-3.413, respectively).

CONCLUSIONS:

This analysis demonstrates the feasibility and utility of linking specialty pharmacy data to other longitudinal databases to better understand patient, provider, and reimbursement characteristics. These data provide insight into routine clinical use of axitinib as subsequent RCC therapy in the United States in the period following FDA approval, as well as additional information on sequencing of targeted agents in patients with advanced RCC.


What is already known about this subject

  • Axitinib is approved in the United States for the treatment of advanced renal cell carcinoma (RCC) after failure of 1 previous systemic treatment.

  • The standard starting dose of axitinib is 5 mg orally twice daily (BID); dose adjustments below or above the starting dose (to a maximum 10 mg BID) may be made based on individual safety and tolerability and are supported by retrospective and prospective studies.

  • Many patients with advanced RCC have disease progression or become resistant to targeted agents; however, few observational studies have examined treatment patterns beyond first-line systemic therapy.

What this study adds

  • Given the increasing distribution of oncology drugs through specialty pharmacies in the United States and the limited information in prescription records, this observational study demonstrates the feasibility and utility of linking de-identified specialty pharmacy data to other longitudinal databases to enrich our understanding of patient and provider characteristics.

  • Treatment patterns among patients who received axitinib as subsequent therapy indicate that axitinib was initiated most commonly in the second-line setting following first-line treatment with sunitinib; pazopanib and everolimus were also prescribed as first-line therapy.

  • Most patients initiated axitinib at the recommended 5 mg BID starting dose and remained on this dose throughout treatment; dose modifications were less frequent than in the pivotal phase III AXIS trial of axitinib versus sorafenib.

An estimated 62,700 individuals will be diagnosed with kidney or renal pelvis cancer in the United States in 2016, and 14,240 deaths because of this disease are predicted.1 Renal cell carcinoma (RCC) accounts for approximately 90% of renal tumors.2 The median age at diagnosis is approximately 64 years, and RCC occurs more commonly in males.1 Approximately 25%-30% of patients with RCC present with metastatic disease (mRCC) at diagnosis, and 20%-30% of patients with localized disease experience relapse with metastases following resection.2,3 In the United States during the years 2004-2010, the 5-year relative survival rates were 91.8% for localized disease, 64.6% for regional disease, and 12.1% for distant disease.4

Since their introduction in 2005, targeted agents acting on the vascular endothelial growth factor (VEGF) pathway or the mammalian target of rapamycin (mTOR) pathway have revolutionized the treatment of mRCC and improved clinical outcomes compared with cytokine-based regimens,5 which were historically used to treat this disease. Presently, there are 7 targeted agents approved in the United States for clear-cell mRCC: VEGF receptor tyrosine kinase inhibitors (TKIs; i.e., sunitinib, sorafenib, pazopanib, and axitinib); monoclonal antibody to VEGF (i.e., bevacizumab); and mTOR inhibitors (i.e., evero-limus and temsirolimus). Based on high-level evidence, the National Comprehensive Cancer Network (NCCN) issued category 1 recommendations for sunitinib, pazopanib, or beva-cizumab (combined with interferon-a) as first-line therapy in patients with mRCC, as well as temsirolimus, specifically for those with poor prognosis.2 However, patients with mRCC may not respond to first-line treatment or may develop resistance to these drugs and require subsequent therapies to control their disease.6,7 Consequently, optimizing treatment sequences in patients with mRCC is an important area of investigation.7

Axitinib (Inlyta) was approved by the U.S. Food and Drug Administration (FDA) in 2012 for the treatment of advanced RCC after failure of 1 previous systemic therapy.8 In the pivotal phase III AXIS trial, axitinib significantly prolonged progression-free survival versus sorafenib and was well tolerated in previously treated patients with advanced RCC.9 As a result, axitinib has NCCN category 1 designation as subsequent therapy for advanced RCC after previous treatment with a TKI or cytokines.2 Axitinib dosing recommendations permit titration below or above the starting dose of 5 mg twice daily (BID) based on patient tolerability and clinician judgment. Patients who tolerate the axitinib 5 mg BID dose for > 2 consecutive weeks with no adverse reactions above grade 2 (according to Common Toxicity Criteria for Adverse Events), and who are normotensive and not receiving antihypertension medication, may have their dose increased stepwise to 7 mg BID and then to a maximum of 10 mg BID.8 This dose-titration strategy has been supported by retrospective analyses and a phase II clinical trial.10,11

Although positive outcomes with targeted agents in phase III clinical trials have transformed the care of patients with mRCC worldwide, the strict patient eligibility criteria and short-term follow-up in these studies may limit the applicability of these clinical findings to routine patient care. Assessment of real-world use of targeted agents, including sequencing of therapies, may help to optimize treatment of patients with mRCC. The objective of this study was to link information from specialty pharmacy databases with information from databases of medical and pharmacy claims to characterize real-world treatment patterns of axitinib as subsequent systemic therapy in patients with RCC in the United States.

Methods

Study Design and Data Sources

This retrospective observational cohort study utilized the Specialty Pharmacy Data Mart, an IMS-managed database containing data from a limited distribution network of 22 specialty pharmacies (regional and national) that dispense axitinib. Data from the specialty pharmacy database were linked to information in the IMS Health medical and pharmacy claims databases via IMS de-identified unique patient identifiers. These identifiers enable IMS to track patients anonymously and longitudinally over time and between datasets and are not dependent on insurance carrier, pharmacy, or employer. The IMS Health pharmacy claims database includes claims (National Council for Prescription Drug Programs, version 5.2) submitted for patients receiving a prescription via retail and specialty pharmacies (> 1.8 billion prescriptions dispensed annually). The medical claims database includes more than 1 billion annual claims that contain diagnosis and visit information and represents activity of more than 870,000 practitioners per month. The data available in these databases represent patients regardless of age, gender, or insurance type from all 50 states and comply with the Health Insurance Portability and Accountability Act (HIPAA).

This study was conducted in accordance with legal and regulatory requirements and research practices and standards

established by the International Society for Pharmacoepidemiology, International Society for Pharmacoeconomics and Outcomes Research, and Pharmaceutical Research and Manufacturers Association. This study was exempt from institutional review board approval because it was retrospective, noninterventional, and used anonymized data.

Study Sample Selection

This study evaluated linked claims data between April 2009 and February 2014. Patients with a claim for their first axitinib prescription (index) between May 2012 and April 2013 were included. Treatment histories were assessed using data from April 2009 through April 2012 (3-year look back period). Discontinuation or maintenance of axitinib treatment was determined based on data through December 2013 and confirmed using data from January and February 2014 (washout period).

Patients included in this analysis were required to have a diagnosis of RCC (defined as> 1 claim, International Classification of Diseases, Ninth Revision, Clinical Modification [ICD-9-CM] code 189.0) or receipt of previous treatment for RCC (Appendix A, available in online article). In addition, patients were required to have > 1 prescription for axitinib (first prescription received between May 2012 and April 2013), > 1 previous systemic therapy, care from an end-treating physician, and consistent reporting of prescription data by pharmacies (reporting > 50% of all claims for that pharmacy per month) and all medical claims (office-based claims) by providers, respectively, during the study period. Patients who paid in cash for oncology services or participated in a clinical trial were excluded, since these data are not collected as part of the medical claims dataset.

Claims 2 and 4 years before the index date were examined to ensure that patients had office visits or prescriptions. Those patients with missing data from the 3-month period beginning 2 or 4 years before the index date were excluded to ensure that patients had treatment/visits in the look back period.

Study Measures

The primary objective of this study was to describe characteristics of axitinib-treated patients and axitinib-prescribing providers using linked datasets. Patient characteristics included age, gender, Charlson Comorbidity Index (CCI) score and groups,12,13 Rx-Risk-V score and categories,14 and payer type. The CCI score is calculated by identifying comorbidities in the 12 months before the index prescription. Weights are assigned to the 17 CCI comorbidity categories and the CCI score is cal-culated.12,13 Metastatic cancer was not included in the calculation of CCI scores because all patients had metastatic disease. The Rx-Risk-V score was calculated by identifying specific concomitant prescription categories for the patients in the 60 to 120 days before the axitinib index prescription. Each category was summed for the total patient score.14 Provider characteristics included geographic region per U.S. census and affiliation. Provider affiliations were determined using the IMS Healthcare Organization Services; providers with designations for both academic centers and community practices were counted only as affiliated with the academic center.

The secondary objectives were to describe and evaluate treatment patterns, dosing, treatment line, and duration of therapy. Dispensed drugs were identified using National Drug Code numbers and Healthcare Common Procedure Coding System J codes (Appendix B, available in online article), and systemic therapies before axitinib prescription were ascertained from the 3-year look back period; these data were used to calculate cycle, line, duration of therapy, and axitinib dose modifications (defined in Table 1).

TABLE 1.

Study Measure Definitions and Calculations

Cycles of therapy
  • Drug administrations within a 4- , 21- , or 28-day gap (depending on the regimen) were considered part of the same cycle (range = 7-28 days).

  • The next drug administration date, within the line of therapy and beyond the 4- , 21- , or 28-day gap, was considered a new cycle.

  • For oral drugs, each prescription of the same product started a new cycle.

Lines of therapy
  • Addition of a new drug after the first 28 days of a line of therapy, or a > 42 day-gap between cycles of a line of therapy, was considered a new line of therapy.

  • For oral drugs, addition of a new drug incompatible (a drug unlikely to be administered concomitantly) with the current drug was considered a new line of therapy, even if it was added within the first 28 days of a line of therapy.

Duration of therapy
  • Calculated for each line of therapy by:

    (last fill date + days supply) - (start date +1 day)

  • Elapsed days were also calculated for axitinib as the total number of days supply for axitinib within each line.

Axitinib dose modifications
  • Determined based on drug, mg per day, form, strength, days supply, and proximity of prescription fill dates.

  • Categorized as no change, dose increase, dose decrease, or dose increase then decrease.

    • A dose increase was determined if the subsequent prescription overlapped the current prescription, and there were > 5 overlapping days supply; then the daily dose was summed.

    • Otherwise, the daily dose from the new prescription, if different, was considered the dose change.

    • Due to small sample sizes, dose decrease and dose decrease then increase were classified as dose decrease.

    • Dose modifications were validated for clinical reason-ability of titration pattern and, in some cases, manually reviewed and adjusted.

Statistical Analysis

Patient and provider characteristics, as well as treatment and dosing patterns are summarized descriptively. Numeric values and percentages are presented for categorical data; means, standard deviations (SDs), medians, and ranges are presented for continuous data. For some results, continuous variables were categorized into intervals and reported as numeric values and percentages. Inferential statistical tests were not performed to evaluate differences between the axitinib line of therapy subgroups.

The effect of patient/prescriber characteristics on duration of axitinib therapy and dose modifications were evaluated by multivariate and logistic regression analyses, respectively. Covariates included age, gender, prescriber geographic region, payer type, CCI score, prior treatment regimen, affiliation and specialty of axitinib-prescribing physician, concomitant medication classes (based on Rx-Risk-V categories), and line of axitinib therapy. Results were summarized by coefficient estimates for multivariate regression analyses and odds ratios (ORs) with Wald 95% confidence intervals (CIs) for logistic regression analyses. All statistical analyses were performed with 2-sided tests at the 5% significance level using SAS, version 9.3 (SAS Institute, Cary, NC).

Results

Patient and Provider Characteristics

This study included 1,175 patients (Figure 1). Most patients (74%) were male, and mean (SD) age was 63.6 (± 10.1) years (Table 2). Mean (SD) CCI score was 2.7 (± 1.1); the largest proportion of patients (64%) had a score of 2; and the most common comorbidity was hypertension (n = 199, 17%). The most frequently observed Rx-Risk-V categories were pain (40%) and ischemic heart disease/hypertension (30%). The most common concomitant medications were antihypertensive medications (46%) and opiates (40%). Most prescribers (63%) were affiliated with an academic center; 48% were hematology/oncology specialists; all U.S. geographic regions were represented; and 847 (72%) patients had commercial insurance.

FIGURE 1.

FIGURE 1

Selection of Study Patients

TABLE 2.

Patient Demographics and Clinical Characteristics

Characteristic Total (N = 1,175) Second Line (n = 659) Third Line (n = 326) > Fourth Line (n = 190)
Age, years
Mean (SD) 63.6 (± 10.1) 63.6 (± 10.0) 62.9 (± 10.0) 64.5 (± 10.3)
Median (range) 64 (23-85) 64 (29-85) 63 (23-85) 65 (28-85)
Age group, years, n(%)
< 45 35 (3) 18 (3) 11 (3) 6 (3)
45-54 170 (14) 98 (15) 50 (15) 22 (12)
55-64 424 (36) 240 (36) 116 (36) 68 (36)
65-74 371 (32) 205 (31) 110 (34) 56 (29)
> 75 175 (15) 98 (15) 39 (12) 38 (20)
Gender, n (%)
Male 865 (74) 487 (74) 244 (75) 134 (71)
Female 310 (26) 172 (26) 82 (25) 56 (29)
Charlson Comorbidity Indexa
Mean (SD) 2.7 (± 1.1) 2.7 (± 1.0) 2.7 (± 1.1) 2.7 (± 1.1)
Median (range) 2 (2-9) 2 (2-7) 2 (2-9) 2 (2-6)
Score, n (%)
2 749 (64) 424 (64) 203 (62) 122 (64)
3 194 (17) 105 (16) 55 (17) 34 (18)
4 129 (11) 76 (12) 38 (12) 15 (8)
5-8 103 (9) 54 (8) 30 (9) 19 (10)
Comorbid groups,b n (%)
No comorbidity 418 (36) 252 (38) 99 (30) 67 (35)
Hypertension 199 (17) 115 (17) 58 (18) 26 (14)
Diabetes ± acute complications 171 (15) 103 (16) 49 (15) 19 (10)
Renal disease 162 (14) 88 (13) 46 (14) 28 (15)
Moderate/severe chronic kidney disease 108 (9) 62 (9) 32 (10) 14 (7)
Chronic pulmonary disease 81 (7) 42 (6) 24 (7) 15 (8)
Cardiovascular disease 65 (6) 37 (6) 21 (6) 7 (4)
Congestive heart failure 60 (5) 32 (5) 17 (5) 11 (6)
Rx-Risk-V Index
Score, n (%)
0 361 (31) 211 (32) 98 (30) 52 (27)
1 109 (9) 66 (10) 23 (7) 20 (11)
2-3 239 (20) 133 (20) 71 (22) 35 (18)
4-5 221 (19) 133 (20) 57 (17) 31 (16)
6-9 228 (19) 107 (16) 73 (22) 48 (25)
10+ 17 (1) 9 (1) 4 (1) 4 (2)
Rx-Risk-V categories, n (%)
No Rx-Risk-V categories 361 (31) 211 (32) 98 (30) 52 (27)
Pain 474 (40) 263 (40) 138 (42) 73 (38)
Ischemic heart disease/hypertension 348 (30) 182 (28) 102 (31) 64 (34)
Congestive heart failure/hypertension 285 (24) 153 (23) 84 (26) 48 (25)
Gastric acid disorder 275 (23) 154 (23) 81 (25) 40 (21)
Hyperlipidemia 250 (21) 125 (19) 78 (24) 47 (25)
Hypothyroidism 247 (21) 129 (20) 67 (21) 51 (27)
Hypertension 198 (17) 102 (15) 53 (16) 43 (23)
Anxiety and tension 189 (16) 92 (14) 63 (19) 34 (18)
Depression 187 (16) 99 (15) 56 (17) 32 (17)
All others 573 (49) 304 (46) 170 (52) 99 (52)
Prescriber geographic region, n (%)
South 420 (36) 234 (36) 114 (35) 72 (38)
Midwest 285 (24) 162 (25) 83 (25) 40 (21)
Northeast 245 (21) 153 (23) 64 (20) 28 (15)
West 224 (19) 109 (17) 65 (20) 50 (26)
Unknown 1 (< 1) 1 (<1) 0 0
Prescriber affiliation, n (%)
Academic center 743 (63) 419 (64) 211 (65) 113 (59)
Community practice 227 (19) 124 (19) 62 (19) 41 (22)
Unknown 205 (17) 116 (18) 53 (16) 36 (19)
Payer type,c n (%)
Commerciald 847 (72) 474 (72) 236 (72) 137 (72)
Medicare 252 (21) 138 (21) 72 (22) 42 (22)
Medicaid 24 (2) 17 (3) 5 (2) 2 (1)
Other 52 (4) 30 (5) 13 (4) 9 (5)

aMetastatic diagnosis excluded from Charlson Comorbidity Index.

bIncludes conditions occurring in > 5% of patients.

cBased on index prescription.

dIncludes Medicare Advantage.

SD = standard deviation.

In total, 659 (56%) patients received axitinib as second-line therapy; 326 (28%) patients received it as third-line therapy; and 190 (16%) patients received it as fourth-line or later therapy (Table 2). Demographics and clinical characteristics did not appear to differ by line of therapy; however, inferential statistical test were not performed. Patient characteristics, including comorbidity profiles, appeared to be similar between those treated by prescribers affiliated with academic centers versus community practices (data not shown).

Treatment Patterns

Sunitinib (38%) was the systemic therapy most frequently prescribed directly before axitinib was initiated in any line of therapy, followed by everolimus (22%) and pazopanib (21%; Table 3). In the overall population, mean (SD) duration of axitinib therapy was 168.6 (± 148.4) days, and 937 (80%) patients discontinued axitinib treatment as of December 2013. Mean and median duration of therapy did not appear to differ substantially between lines of therapy (Table 3).

TABLE 3.

Treatment Patterns and Axitinib Dosing Patterns

Characteristic Total (N = 1,175) Second Line (n = 659) Third Line (n = 326) > Fourth Line (n = 190)
Duration of axitinib therapy, days
Mean (SD) 168.6 (±148.4) 172.3 (±150.6) 169.2 (±146.9) 154.6 (± 142.8)
Median (range) 115 (7-688) 114 (8-688) 122 (7-644) 111(10-642)
Therapy received directly before axitinib, n (%)
Sunitinib 446 (38) 368 (56) 51 (16) 27 (14)
Everolimus 259 (22) 78 (12) 142 (44) 39 (21)
Pazopanib 244 (21) 106 (16) 65 (20) 73 (38)
Temsirolimus 83 (7) 56 (8) 17 (5) 10 (5)
Sorafenib 44 (4) 19 (3) 15 (5) 10 (5)
Bevacizumab 31 (3) 12 (2) 13 (4) 6 (3)
Other 68 (6) 20 (3) 23 (7) 25 (13)
Axitinib daily dose,a mg
Mean (SD) 10.3 (3) 10.3 (3) 10.5 (3) 10.2 (3)
Median (range) 10.0 (2.0-31.5) 10.0 (2.0-31.5) 10.0 (3.5-21.4) 10.0 (2.0-20.0)
Axitinib dose modifications,a n (%)
No change 789 (67) 445 (68) 213 (66) 131 (69)
Decrease 161 (14) 90 (14) 43 (13) 28 (15)
Increase 141 (12) 79 (12) 44 (14) 18 (10)
Increase then decrease 83 (7) 45 (7) 25 (8) 13 (7)

aA total of 1,174 patients were evaluated for axitinib dosing patterns; 1 patient whose titration patterns could not be determined and did not follow expected clinical patterns was excluded.

SD = standard deviation.

For the 659 patients prescribed second-line axitinib, mean (SD) duration of axitinib treatment was 172.3 (± 150.6) days and ranged from 127 days in patients previously administered temsirolimus to 196 days in those previously prescribed sorafenib (Table 3 and Figure 2A). The most common first-line treatments in these patients were sunitinib (56%), pazopanib (16%), and everolimus (12%), after which mean (SD) duration of second-line axitinib treatment was 184 (± 156), 154 (± 125), and 189 (± 180) days, respectively. In all, 80% of patients completed second-line axitinib treatment as of December 2013. In patients who received first-line sunitinib or pazopanib, baseline patient and prescriber characteristics were generally similar (data not shown), although a higher proportion of patients prescribed first-line pazopanib had no Rx-Risk-V categories (40% vs. 28%, respectively); statistical significance is unknown.

FIGURE 2.

FIGURE 2

Treatment Sequences and Duration in Patients Receiving Second-Line Axitinib or Third-Line Axitinib

For the 326 patients prescribed third-line axitinib, mean (SD) duration of axitinib treatment was 169.2 (± 146.9) days, ranging from 131 days in patients who received first- and second-line pazopanib to 205 days in patients who received first-line everolimus and second-line pazopanib (Table 3 and Figure 2B). The most common (32%) prior treatment sequence was sunitinib followed by everolimus; mean (SD) duration of axitinib treatment in these patients was 196 (± 165) days. In all, 79% of patients completed third-line axitinib treatment as

Multivariate regression analysis revealed several patient characteristics associated with duration of axitinib therapy (Appendix C, available in online article). Longer axitinib treatment duration was observed in males versus females (21 days longer, P = 0.013); in patients in the Northeast (28 days longer) versus the Midwest or West (P = 0.010 and P = 0.016, respectively); and in patients receiving baseline hypothyroid-ism treatment (26 days longer, P = 0.004). Compared with sunitinib, prior bevacizumab and prior temsirolimus were associated with shorter treatment duration (50 days and 31 days shorter, P = 0.028 and P = 0.034, respectively). Neither the line of axitinib therapy nor the prescriber's affiliation was associated with duration of axitinib treatment (Table 3 and data not shown).

Axitinib Dosing Patterns

In the overall population, 67% of patients remained on the same axitinib dose during the entire course of therapy, whereas 14% had dose decreases; 12% had increases; and 7% had increases followed by decreases (Table 3). A total of 1,025 (87%) patients initiated axitinib at the standard 5 mg BID starting dose. Of these, 715 (70%) patients remained on 5 mg BID throughout treatment, whereas 138 (14%) had dose decreases; 107 (10%) had increases; and 65 (6%) had increases followed by decreases. Axitinib dose modifications did not appear to vary by line of therapy (Table 3).

Baseline hypothyroidism treatment was associated with dose increases (OR = 2.149, 95% CI = 1.353-3.413); dose decreases

(OR = 1.662, 95% CI = 1.088-2.539); and dose increases followed by decreases (OR = 2.381, 95% CI = 1.396-4.060).

Results of multivariate logistic regression (Table 4) indicated that younger age (OR = 0.958, 95% CI = 0.941-0.975); male gender (OR = 0.573, 95% CI = 0.364-0.903); and lack of concomitant medication as described by Rx Risk V (OR = 0.468, 95% CI = 0.314-0.697) were associated with an increase in dose.

TABLE 4.

Logistic Regression of Key Patient Characteristics on Axitinib Dose Modifications

Variable Odds Ratio 95% CI
Dose decrease
Age 1.015 0.998-1.033
Gender (female vs. male) 0.695 0.462-1.047
Baseline hypothyroidism treatment (yes vs. no) 1.662 1.088-2.539
Other baseline treatment (yes vs. no) 0.913 0.639-1.306
Dose increase only
Age 0.958 0.941-0.975
Gender (female vs. male) 0.573 0.364-0.903
Baseline hypothyroidism treatment (yes vs. no) 2.149 1.353-3.413
Other baseline treatment (yes vs. no) 0.468 0.314-0.697
Dose increase then decrease
Age 0.989 0.967-1.012
Gender (female vs. male) 1.033 0.627-1.702
Baseline hypothyroidism treatment (yes vs. no) 2.381 1.396-4.060
Other baseline treatment (yes vs. no) 0.762 0.469-1.237
CI = confidence interval.

Discussion

The benefits of targeted agents in patients with mRCC have been demonstrated in numerous clinical studies. However, development of drug resistance and/or refractory disease in patients receiving these treatments necessitates administration of subsequent therapies. Although current guidelines from NCCN recommend use of consecutive targeted agents,2 an optimal sequencing strategy has not yet been determined from prospective clinical trial data. Observational studies in patients with mRCC treated with targeted therapies, including the present analysis, provide insight into real-world sequencing patterns, as well as patient, provider, and reimbursement characteristics.

Coincident with the shift from cytokine-based therapies to targeted agents to treat mRCC has been an expansion of oncology drug distribution via specialty pharmacies.15 However, pharmacy records provide limited information with regard to patient and provider characteristics. Linking independent databases in a HIPAA-compliant manner is a growing method to enrich these datasets. This retrospective, observational study demonstrates the feasibility of matching de-identified specialty pharmacy data to other longitudinal databases, as is evidenced by 94% of patients with their first axitinib prescriptions dispensed by specialty pharmacies from May 2012 to April 2013 also having information in the medical and pharmacy claims databases (Figure 1). With a study population of 1,175 patients, this methodology yields one of the largest sample sizes in observational studies examining mRCC treatment patterns in the United States.16-27

Baseline demographics of the patient population evaluated here were consistent with the known epidemiology of kidney cancer in the United States, including a higher prevalence in males versus females and in patients aged 55-74 years versus other age groups, and with hypertension as a comorbidity.1,4,28 Patient characteristics in this analysis were also generally consistent with other retrospective studies in patients with mRCC treated with targeted agents.16-27 Whereas the majority of previous observational studies used data from community or tertiary oncology practices in the United States,16-18,21,23 the present study evaluated patients treated by physicians affiliated with both academic centers and community practices, of which the proportions of prescribers were similar to those reported in a retrospective study of patients receiving first-line targeted therapy for mRCC.22 Although we found that patient characteristics, including comorbidity profiles, were similar regardless of prescriber affiliation (data not shown), patients seeking care in community settings have characteristics that might restrict their ability to travel to academic centers (e.g., advanced age and/or a greater degree of comorbidity). The present analysis may be limited by classification of physicians associated with both academic centers and community practices as affiliated with academic centers only. The affiliation describes provider characteristics but does not necessarily describe where patient treatments took place.

In this study, the majority of patients (56%) were treated with axitinib in the second line of therapy. Evaluation of real-world treatment patterns in patients receiving axitinib as second-line therapy revealed that sunitinib was the most common first-line therapy, but other targeted agents, including pazopanib (16%) and everolimus (12%), were also prescribed.

Prior retrospective analyses in previously treated patients with mRCC also reported sunitinib as the most commonly administered first-line therapy.16,19,21,24,27 Similar proportions of patients received first-line sunitinib in the present analysis versus the AXIS trial (56% vs. 54%), whereas proportions of patients who received first-line temsirolimus (8% vs. 3%) or bevacizumab (2% vs. 8%) varied slightly.9 There were very few patients treated with cytokines in the current study, whereas 35% of patients in the AXIS trial were cytokine-refractory.9 The AXIS trial did not restrict the number of patients enrolled for each first-line therapy; therefore, the population was expected to parallel real-world treatment trends for mRCC at the time of trial initiation—these trends may have evolved since 2008 when enrollment began.

Few retrospective studies have evaluated treatment for mRCC beyond second-line therapy. Harrison et al. (2013, 2014) assessed up to 3 lines of treatment for mRCC from a joint community-academic registry.19,20 For patients receiving 3 subsequent targeted agents, TKI to mTOR inhibitor to another TKI was a more common treatment sequence than switching from one TKI to another TKI followed by an mTOR inhibitor.20 Likewise, in a review of medical records from oncology practices in the United States, Jonasch et al. (2014) found that the most common 3-line targeted therapy sequence was a VEGF inhibitor to an mTOR inhibitor to another VEGF inhibitor, with sunitinib, everolimus, and bevacizumab, respectively, the most frequently used treatments in this sequence.21 In the present analysis, the most common previous therapy sequence in patients prescribed third-line axitinib was also first-line sunitinib followed by second-line everolimus. Because axitinib was not approved in the United States until 2012 (sorafenib and sunitinib were approved in 2005 and 2006, respectively), axitinib was not frequently reported as second- or third-line therapy in earlier retrospective studies.

For patients receiving second-line axitinib in this study, mean duration of first-line therapy ranged from 82 days to 252 days and was longest in patients who previously received sunitinib. Mean duration of second-line axitinib varied somewhat by first-line therapy, ranging from 127 days to 196 days for therapies received by ≥ 10 patients. However, it cannot be determined if duration of first-line therapy influenced duration of second-line axitinib. Moreover, because reasons for treatment discontinuation (e.g., disease progression or adverse events) were not assessed, duration of treatment cannot be considered a surrogate for efficacy.

Our results indicate that duration of axitinib treatment was not affected by the affiliation of the prescriber (data not shown). In contrast, previous studies reported that median duration of sunitinib and sorafenib was shorter in patients with mRCC treated at community practices versus tertiary oncology centers.17,18 These authors speculated that community oncologists may have less experience in the use of targeted agents to treat mRCC, which resulted in more frequent dose modifications and change in therapy.17

Analysis of dosing patterns indicated that most patients (87%) initiated axitinib at the recommended starting dose of 5 mg BID, and of these patients, the majority (70%) remained on that dose throughout treatment. This is consistent with previous analyses of axitinib-dispensing data from specialty pharmacies.29,30 The frequency of axitinib dose modifications in the current analysis was lower (14% of patients in the overall population had a dose decrease; 12% had a dose increase; and 7% had a dose increase followed by a decrease) than in the AXIS trial (31% had dose decreases and 37% had dose increases).9 This disparity may reflect differences in real-world management of patients with mRCC compared with management in the clinical trial setting, for instance, in terms of physician consideration of patient-specific factors such as performance status, comorbidities, and age. Although up titration in patients who tolerate the starting dose of axitinib is supported by results of a prospective, randomized phase II study,11 drug exposure does not appear to be the sole determinant of clinical response. Identification of pharmacodynamic factors contributing to axitinib efficacy may help to personalize treatment.31 Similarly, for other oncology drugs, efforts are underway to determine optimal dosing to balance safety and efficacy according to individual patient characteristics.32

The experience of patients and prescribers in clinical practice likely differs from the highly controlled setting of a clinical trial. Results from this analysis provide insight into routine clinical use of axitinib as subsequent therapy for mRCC in the United States in the period following FDA approval and complement information derived from clinical trials. The findings from this study also further expand the knowledge base of real-world treatment patterns of targeted agents for mRCC.

Limitations

This study used data from medical and pharmacy claims, which have inherent limitations. Because claims data are collected for billing and reimbursement purposes, rather than research objectives, causality (e.g., reason for change in therapy) cannot be inferred. In addition, data entry errors at sites of care cannot be detected or corrected in data analysis. There is potential for misclassification of treatment sequence because regimens may not be identified if a patient received treatment from a pharmacy/prescriber whose data are not included in the IMS database—for instance, the database may not include a patient's actual first line of therapy. Clinical outcomes (such as survival) were not addressed. In addition, the affiliation describes provider characteristics but does not necessarily describe where patient treatments took place. Although data used in this study were collected from all states, because of geographic biases, any unprojected geographic information may not be representative of the true distribution. Finally, the small number of patients in many subgroups evaluated (e.g., previous therapy or treatment sequence) preclude comparisons by statistical analysis, so results are descriptive in nature.

Conclusions

This retrospective, observational study, which linked data from specialty pharmacies with data from medical and pharmacy claims, evaluated patient, prescriber, and reimbursement characteristics associated with use of axitinib as subsequent therapy for mRCC in the United States. Of 1,175 patients analyzed, axitinib was prescribed as second-line therapy in 56% of patients and as third-line therapy in 28% of patients. The most common treatment before second-line axitinib was sunitinib, followed by pazopanib and everolimus. In contrast with results from the phase III AXIS trial,9 real-world dosing patterns for axitinib in the current analysis found that 70% of patients who started at the standard 5 mg BID dose remained on that regimen. Further investigation of real-world axitinib use in patients with mRCC through review of medical records, which have greater detail regarding disease characteristics, is warranted.

Acknowledgments

Medical writing support was provided by Joanna Bloom, PhD, of Engage Scientific Solutions and was funded by Pfizer.

Appendix A. ICD-9-CM Codes Used to identify Comorbidities and GPi-14 Codes Used to identify Rx-Risk-V Drugs

Comorbidities ICD-9-CM Code
AIDS/HIV 042, 079.53, V08
Cancer 140.x, 141.x, 142.x, 143.x, 144.x, 145.x, 146.x, 147.x, 148.x, 149.x, 150.x, 151.x, 152.x, 153.x, 154.x, 155.x, 156.x, 158.x, 158.x, 159.x, 160.x, 161.x, 162.x, 163.x, 164.x, 165.x, 170.x, 171.x, 172.x, 174.x, 175.x, 176.x, 179, 180.x, 181, 182.x, 183.x, 184.x, 185, 186.x, 187.x, 188.x, 189.x, 190.x, 191.x, 192.x, 193, 194.x, 195.x, 200.x, 201.x, 202.x, 203.x, 204.x, 205.x, 206.x, 207.x, 208.x, 209.x, 235.x, 236.x, 237.x, 238.x, 239.x
Congestive heart failure 398.91, 404.x, 425.x, 428.x
Chronic pulmonary disease 490, 491.x, 492.x, 493.x, 494.x, 495.x, 496, 500, 501, 502, 503, 504, 505, 506.4
Cardiovascular disease 430, 431, 432.x, 433.x, 434.x, 435.x, 436, 437.x, 438.x
Dementia 290.x, 331.x
Diabetes with chronic complications 249.x, 250.x
Diabetes with or without acute complications 249.x, 250.x
Metastatic carcinoma 196.x, 197.x, 198.x, 199.x
Mild liver disease 571.x
Moderate to severe liver disease 456.x, 572.x
Myocardial infarction 410.x, 412
Paraplegia/hemiplegia 342.x, 344.1
Peptic ulcer disease 531.x, 532.x, 533.x, 534.x
Peripheral vascular disease 441.x, 443.9, 785.4, V434
Renal disease 582.x, 583.x, 585.x, 586, 588.xm
Rheumatologic disease 710.x, 714.x, 725
Rx-Risk-V Drugs GPI-14 Code
Abacavir sulfate 1210500510*
Abacavir sulfate-lamivudine 1210990220*
Abacavir sulfate-lamivudine-zidovudine 1210990320*
Abciximab 8515301000*
Acarbose 2750001000*
Acebutolol HCl 3320001010*
Acetaminophen w/codeine 6599100205*
Acetaminophen-caffeine-dihydrocodeine 6599130305*
Acetaminophen-codeine & dietary management product 6599700310*
Acetaminophen-isometheptene-caffeine 6799000307*
Acetaminophen-isometheptene-dichloralphenazone 6799000310*
Acetohexamide 2720001000*
Acitretin 9025051000*
Acitretin w/moisturizer 9025051030*
Aclidinium bromide 44100007108020
Adalimumab 6627001500*
Adenosine 3550001000*
Albiglutide 2717001000*
Albuterol 4420101000*
Albuterol sulfate 4420101010*
Alclometasone dipropionate 9055000510*
Alefacept 9025051500*
Alendronate sodium 3004201010*
Alendronate sodium-cholecalciferol 3004201020*
Alfentanil 6510001500*
Alfuzosin HCl 5685201010*
Aliskiren fumarate 3617001010*
Aliskiren-amlodipine 3699670210*
Aliskiren-amlodipine-hydrochlorothiazide 3699680320*
Aliskiren-hydrochlorothiazide 3699600215*
Aliskiren-valsartan 3699650215*
Allopurinol 6800001000*
Allopurinol sodium 6800001010*
Almotriptan malate 6740601010*
Alogliptin benzoate 2755001010*
Alogliptin-metformin HCl 2799250210*
Alogliptin-pioglitazone 2799400210*
Alosetron HCl 5255401510
Alprazolam 5710001000*
Alprazolam-dietary management product 5799900210*
Amantadine HCl 7320001010*
Amcinonide 9055001000*
Amiloride HCl 3750001010*
Aminosalicylic acid 0900001000*
Amitriptyline HCl 5820001010*
Amitriptyline HCl & dietary management product 5899870210*
Amiodarone HCl 3540000500*
Amiodarone HCl in dextrose 3540000511*
Amlodipine besylate 3400000310*
Amlodipine besylate-benazepril HCl 3699150220*
Amlodipine besylate-olmesartan medoxomil 3699300205*
Amlodipine besylate-valsartan 3699300210*
Amlodipine-valsartan-hydrochlorothiazide 3699450320*
Ammoniated mercury-salicylic acid 90259902104110
Amobarbital sodium 6010001010*
Amoxapine 5820002000*
Amprenavir 1210451000*
Amyl nitrite 3210005000*
Amylase-lipase-protease 5199000320*
Amylase-lipase-protease w/ca carb 5199000420*
Anagrelide HCl 8515601010*
Anisindione 8330001000*
Anthralin 9025002000*
Acetaminophen w/butalbital & codeine 6599100310*
Apixaban 8337001000*
Apomorphine HCl 7320301010*
Apraclonidine HCl 8660201010*
Arformoterol tartrate 4420101210*
Argatroban 8333701500*
Argatroban in NaCl 8333701520*
Aripiprazole 5925001500*
Asenapine maleate 5915501510*
Aspirin buffered-pravastatin sodium 3940990215*
Aspirin w/codeine 6599100210*
Aspirin-acetaminophen-salicyl-caffeine w/codeine 6599100510*
Aspirin-caffeine-dihydrocodeine bitartrate 6599130310*
Aspirin-dipyridamole 8515990220*
Astemizole 4155001000*
Atazanavir sulfate 1210451520*
Atenolol 3320002000*
Atenolol & chlorthalidone 3699200210*
Atorvastatin calcium 3940001010*
Azatadine maleate 4150001015*
Azathioprine 9940601000*
Azathioprine sodium 9940601010*
Azelastine HCl-fluticasone propionate 4299550215*
Azilsartan medoxomil 3615001020*
Azilsartan medoxomil-chlorthalidone 3699400210*
Beclomethasone diprop monohyd 4220001032*
Beclomethasone dipropionate (nasal) 4220001030*
Bedaquiline fumarate 0900001510*
Belatacept 9940802000*
Benazepril HCl 3610000510*
Benazepril & hydrochlorothiazide 3699180215*
Bendroflumethiazide 3760001000*
Bendroflumethiazide/rauwolfia 3699100210*
Benzthiazide 3760001500*
Benztropine mesylate 7310001010*
Bepridil HCl 3400000510*
Betamethasone benzoate 9055002020*
Betamethasone dipropionate (topical) 9055002000*
Betamethasone dipropionate augmented 9055002005*
Betamethasone valerate 9055002010*
Betaxolol HCl 3320002110*
Betaxolol HCl (ophth) 8625001010*
Bimatoprost 8633001500*
Biperiden HCl 7310002010*
Bisoprolol & hydrochlorothiazide 3699200213*
Bisoprolol fumarate 3320002210*
Bitolterol mesylate 4420102010*
Bivalirudin 8333402000*
Bretylium tosylate 3540001010*
Brimonidine tartrate 8660202010*
Brimonidine tartrate-timolol maleate 8625990215*
Brinzolamide 8680232000*
Brinzolamide-brimonidine tartrate 8660990220*
Bromfenac sodium 6610000510*
Bromocriptine mesylate 7320002010*
Bromocriptine mesylate (diabetes) 2757402010*
Brompheniramine maleate 4110001015*
Brompheniramine tannate 4110001040*
Brompheniramine-diphenhydramine 4199100215*
Budesonide (nasal) 4220001500*
Budesonide-formoterol fumarate dihydrate 4420990241*
Bumetanide 3720001000*
Buprenorphine 6520001000*
Buprenorphine HCl 6520001010*
Buprenorphine HCl-naloxone HCl dihydrate 6520001020*
Bupropion HCl 5830004010*
Bupropion HCl (smoking deterrent) 6210000210*
Bupropion HCl-dietary management product 5899900220*
Bupropion hydrobromide 5830004020*
Butabarbital sodium 6010002510*
Butalbital-acetaminophen-caffeine w/codeine 6599100410*
Butalbital-aspirin-caffeine w/codeine 6599100430*
Butorphanol tartrate 6520002010*
Calcifediol 7720203400*
Calcipotriene 9025002500*
Calcipotriene-betamethasone dipropionate 9055990232*
Calcitriol 3090503000*
Calcitriol (topical) 9025002800*
Canagliflozin 2770002000*
Candesartan cilexetil 3615002010*
Candesartan cilexetil-hydrochlorothiazide 3699400220*
Capreomycin sulfate 0900002010*
Captopril 3610001000*
Captopril & hydrochlorothiazide 3699180225*
Carbachol (ophth) 8650102000*
Carbamazepine 7260002000*
Carbamazepine (antipsychotic) 5940001500*
Carbidopa 7340303000*
Carbidopa-levodopa 7320990210*
Carbidopa-levodopa-entacapone 7320990330*
Carbinoxamine maleate 4120001015*
Carbinoxamine maleate-carbinoxamine tannate 4199100230*
Carbinoxamine tannate 4120001025*
Carteolol HCl (ophth) 8625001210*
Celecoxib 6610052500*
Cerivastatin sodium 3940002010*
Cetirizine HCl 4155002010*
Chlordiazepoxide 5710002000*
Chlordiazepoxide HCl 5710002010*
Chlorpheniramine maleate 4110002015*
Chlorpheniramine maleate tannate 4110002017*
Chlorpheniramine tannate 4110002025*
Chlorpheniramine tannate-methscopolamine 4199200225*
Chlorpheniramine-methscopolamine 4199200220*
Chlorpropamide 2720002000*
Chlorpromazine 5920001500*
Chlorpromazine HCl 5920001510*
Chlorothiazide 3760002000*
Chlorothiazide sodium 3760002010*
Chlorthalidone 3760002500*
Cholestyramine 3910001000*
Cholestyramine light 3910001010*
Choline fenofibrate 3920000600*
Ciclesonide (nasal) 4220001800*
Cilostazol 8515551600*
Cimetidine 4920001000*
Cimetidine HCl 4920001010*
Cimetidine in saline 4920001100*
Citalopram & dietary management product 5899850220*
Citalopram hydrobromide 5816002010*
Clemastine fumarate 4120002040*
Clevidipine butyrate 3400000710*
Clobazam 7210000700*
Clobetasol propionate 9055002510*
Clobetasol propionate & clobetasol propionate emulsion 9055002550*
Clobetasol propionate cream & coal tar solution 9055990235*
Clobetasol propionate emollient base 9055002515*
Clobetasol propionate emulsion 9055002520*
Clobetasol propionate ointment & coal tar solution 9055990236*
Clocortolone pivalate 9055003010*
Clofibrate 3920001000*
Clomipramine HCl 5820002510*
Clonazepam 7210001000*
Clonidine & chlorthalidone 3699500220*
Clonidine HCl 3620101010*
Clopidogrel bisulfate 8515802010*
Clorazepate dipotassium 5710003010*
Clozapine 5915202000*
Coal tar extract 9052001000*
Coal tar-amm mercury-methen sulfosalicylate 9052990340*
Coal tar-salicylic acid 9052990220*
Codeine phosphate 6510002010*
Codeine sulfate 6510002020*
Colchicine 6800002000*
Colchicine w/probenecid 6899000210*
Colesevelam HCl 3910001610*
Colestipol HCl 3910002010*
Cycloserine 0900003000*
Cyclosporine 9940202000*
Cyclosporine modified (for microemulsion) 9940202030*
Cyproheptadine HCl 4150002010*
Dabigatran etexilate mesylate 8333703020*
Dalteparin sodium 8310101010*
Danaparoid sodium 8310101410*
Dapagliflozin propanediol 2770004020*
Dapiprazole HCl 8650102510*
Darbepoetin alfa-albumin (human) 8240101512*
Darbepoetin alfa-polysorbate 80 8240101511*
Darunavir ethanolate 1210452010*
Delavirdine mesylate 1210902020*
Demecarium bromide 8650201010*
Deserpidine & hydrochlorothiazide 3699100222*
Deserpidine & methyclothiazide 3699100220*
Desipramine HCl 5820003010*
Desirudin 8333403000*
Desloratadine 4155002100*
Desonide 9055003500*
Desonide cream w/moisturizing lotion 9055003555*
Desonide cream w/wound dressing cream 9055003565*
Desonide lotion w/moisturizing cream 9055003550*
Desonide ointment w/moisturizing lotion 9055003560*
Desonide ointment w/wound dressing cream 9055003568*
Desoximetasone 9055004000*
Dexamethasone sodium phosphate 9055004510*
Desvenlafaxine 5818002000*
Desvenlafaxine fumarate 5818002010*
Desvenlafaxine succinate 5818002020*
Dexbrompheniramine tannate-pyrilamine maleate 4199100240*
Dexchlorpheniramine maleate 4110003015*
Dexlansoprazole 4927002000*
Dezocine 6520002500*
Diazepam 5710004000*
Diazepam (anticonvulsant) 7210003000*
Diazepam-dietary management product 5799900220*
Diazoxide 2730002000*
Diazoxide (antihypertensive) 3660001000*
Diclofenac 6610000700*
Diclofenac potassium 6610000710*
Diclofenac potassium (migraine) 6760004010*
Diclofenac sodium 6610000720*
Diclofenac w/misoprostol 6610990220*
Dicumarol 8320001000*
Didanosine 1210501500*
Diflorasone diacetate 9055005010*
Diflorasone diacetate emollient base 9055005015*
Digitoxin 3120002000*
Digoxin 3120001000*
Dihydroergotamine mesylate 6700003010*
Diltiazem HCl 3400001010*
Diltiazem HCl coated beads 3400001012*
Diltiazem HCl extended release beads 3400001011*
Diltiazem malate 3400001030*
Dipivefrin HCl 8660001000*
Dipyridamole 8515003000*
Disopyramide phosphate 3510001010*
Disulfiram 6280204000*, 6200002000*
Divalproex sodium 7250001010*
Dofetilide 3540002500*
Dolutegravir sodium 1210301510*
Donepezil HCl 6205102510*
Dorzolamide HCl 8680234010*
Dorzolamide HCl-timolol maleate 8625990220*
Doxazosin mesylate 3620200510*
Doxazosin mesylate (BPH) 5685202520*
Doxepin HCl 5820004010*
Doxylamine succinate 4120004010*
Doxylamine succinate tannate 4120004020*
Dronedarone HCl 3540002810*
Duloxetine HCl 5818002510*
Dutasteride-tamsulosin HCl 5685990225*
Echothiophate iodide 8650202010*
Efalizumab 9025052700*
Efavirenz 1210903000*
Efavirenz-emtricitabine-tenofovir disoproxil fumarate 1210990330*
Eletriptan hydrobromide 6740602510*
Elvitegravir-cobicistat-emtricitabine-tenofovir 1210990430*
Emtricitabine 1210603000*
Emtricitabine-rilpivirine-tenofovir disoproxil fumarate 1210990340*
Emtricitabine-tenofovir disoproxil fumarate 1210990230*
Enalapril maleate 3610002010*
Enalapril maleate & hydrochlorothiazide 3699180235*
Enalapril maleate-diltiazem malate 3699150226*
Enalapril maleate-felodipine 3699150230*
Enalaprilat 3610002510*
Encainide HCl 3530000510*
Enfuvirtide 1210253000*
Enoxaparin sodium 8310102010*
Entacapone 7315303000*
Epinephrine bitartrate (ophth) 8660002010*
Epinephrine HCl 4420202020*
Epinephrine HCl (ophth) 8660002020*
Epinephryl borate 8660002030*
Eplerenone 3625003000*
Epoetin alfa 8240102000*
Eprosartan mesylate 3615002420*
Eprosartan mesylate-hydrochlorothiazide 3699400225*
Eptifibatide 8515303000*
Ergot w/pentobarb-bella-caffeine 6799100420*
Ergotamine tartrate 6700002010*
Ergotamine w/caffeine 6799100210*
Ergotamine w/pb & belladonna 6799100320*
Escitalopram oxalate 5816003410*
Eslicarbazepine acetate 7260002410*
Esmolol HCl 3320002510*
Esmolol HCl-sodium chloride 3320002511*
Esomeprazole magnesium 4927002510*
Esomeprazole sodium 4927002520*
Esomeprazole strontium 4927002530*
Ethambutol HCl 0900004010*
Etanercept 6629003000*
Ethacrynate sodium 3720002010*
Ethacrynic acid 3720002000*
Ethionamide 0900005000*
Ethosuximide 7240001000*
Ethotoin 7220001000*
Etidronate disodium 3004204010*
Etodolac 6610000800*
Etravirine 1210903500*
Etretinate 9025003000*
Ezetimibe 3930003000*
Ezetimibe-atorvastatin 3999400220*
Ezetimibe-simvastatin 3999400230*
Ezogabine 7260002600*
Famotidine 4920003000*
Famotidine in NaCl 4920003011*
Febuxostat 6800003000*
Felbamate 7212002000*
Felodipine 3400001300*
Fenofibrate 3920002500*
Fenofibrate micronized 3920002510*
Fenofibric acid 3920002400*
Fenoldopam mesylate 3640203010*
Fenoprofen calcium 6610001010*
Fentanyl 6510002500*
Fentanyl citrate 6510002510*
Fentanyl citrate-bupivacaine HCl-NaCl 6599150330*
Fentanyl citrate-ropivacaine HCl-NaCl 6599150335*
Fentanyl citrate-NaCl 6510002512*
Fexofenadine HCl 4155002410*
Flecainide acetate 3530001010*
Fluocinolone acetonide 9055005510*
Fluocinolone acetonide & cleanser 9055990239*
Fluocinolone-emollient 9055990240*
Fluocinonide 9055006000*
Fluocinonide emulsified base 9055006010*
Fluoxetine HCl 5816004000*
Fluoxetine HCl-dietary management product 5899850245*
Fluphenazine decanoate 5920002530*
Fluphenazine enanthate 5920002520*
Fluphenazine HCl 5920002510*
Flurandrenolide 9055006500*
Flurbiprofen 6610001200*
Fluticasone furoate-vilanterol 4420990275*
Fluticasone propionate 9055006810*
Fluticasone-salmeterol 4420990270*
Fluvastatin sodium 3940003010*
Fluvoxamine maleate 5816004510*
Fondaparinux sodium 8310303010*
Formoterol fumarate 4420102710*
Fosamprenavir calcium 1210452510*
Fosinopril sodium 3610002710*
Fosinopril sodium & hydrochlorothiazide 3699180240*
Fosphenytoin sodium 7220001310*
Frovatriptan succinate 6740603010*
Furosemide 3720003000*
Gabapentin 7260003000*
Gabapentin-dietary management product 7299600230*
Gemfibrozil 3920003000*
Glimepiride 2720002700*
Glipizide 2720003000*
Glipizide-metformin HCl 2799700235*
Glyburide 2720004000*
Glyburide-metformin 2799700240*
Glyburide micronized 2720004010*
Golimumab 6627004000*
Guanabenz acetate 3620102010*
Guanadrel sulfate 3620201010*
Guanethidine & hydrochlorothiazide 3699550230*
Guanethidine monosulfate 3620202010*
Guanfacine HCl 3620102510*
Halazepam 5710005000*
Halcinonide 9055007000*
Halobetasol propionate 9055007310*
Halobetasol propionate & ammonium lactate 9055990247*
Halobetasol propionate & lactic acid 9055990249*
Haloperidol 5910001010*
Haloperidol decanoate 5910001030*
Haloperidol lactate 5910001020*
Heparin (porcine) in NaCl 8310002022*
Heparin sod (porcine) in d5w 8310002025*
Heparin sodium (bovine) 8310002021*
Heparin sodium (porcine) 8310002020*
Hydralazine & hydrochlorothiazide 3699900245*
Hydralazine & reserpine & hydrochlorothiazide 3699100320*
Hydralazine HCl 3640001010*
Hydrochlorothiazide 3760004000*
Hydrocodone bitartrate 6510003010*
Hydrocodone-acetaminophen 6599170210*
Hydrocodone-acetaminophen-dietary management product 6599170210*
Hydrocodone-aspirin 6599170220*
Hydrocodone-ibuprofen 6599170250*
Hydrocortisone (intrarectal) 8915001000*
Hydrocortisone & salicylic acid-sulfur & shampoo 9055990435*
Hydrocortisone acetate-aloe vera 9055990251*
Hydrocortisone-salicylic acid-sulfur 9055990330*
Hydromorphone HCl 6510003510*
Hydromorphone HCl-bupivacaine HCl-NaCl 6599180330*
Hydromorphone HCl-NaCl 6510003512*
Ibuprofen 6610002000*
Ibuprofen w/caffeine & vitamins 6610990328*
Ibuprofen w/liniment 6610002050*
Ibuprofen-famotidine 6610990232*
Ibutilide fumarate 3540005010*
Icosapent ethyl 3950003510*
Iloperidone 5907003500*
Imipramine HCl 5820005010*
Imipramine pamoate 5820005020*
Indacaterol maleate 4420104220*
Indapamide 3760005000*
Indinavir sulfate 1210453020*
Indomethacin 6610003000*
Indomethacin sodium 6610003010*
Infliximab 5250504000*
Insulin aspart 2710400200*
Insulin aspart protamine & aspart (human) 2710407000*
Insulin detemir 2710400600*
Insulin glargine 2710400300*
Insulin glulisine 2710400400*
Insulin lispro (human) 2710400500*
Insulin lispro protamine & lispro (human) 2710408000*
Insulin regular (human) 2710401000*
Insulin regular (pork) 2710301000*
Ipratropium bromide 4410003010*
Ipratropium bromide hfa 4410003012*
Ipratropium-albuterol 4420990201*
Irbesartan 3615003000*
Irbesartan-hydrochlorothiazide 3699400230*
Isocarboxazid 5810001000*
Isoetharine HCl 4420103010*
Isoetharine mesylate 4420103020*
Isoflurophate 8650203000*
Isometheptene mucate 6700005010*
Isoniazid 0900006000*
Isoniazid & rifampin 0999000210*
Isoniazid w/B6 0999000220*
Isoniazid-rifampin w/pyrazinamide 0999000320*
Isoproterenol & phenylephrine 4420990210*
Isoproterenol HCl 4420104010*
Isoproterenol sulfate 4420104020*
Isosorbide dinitrate 3210002000*
Isosorbide mononitrate 3210002500*
Isradipine 3400001500*
Ketoprofen 6610003500*
Ketorolac tromethamine 6610003710*
Labetalol & hydrochlorothiazide 6992002150*
Lacosamide 7260003600*
Lactulose 4660002000*
Lactulose (encephalopathy) 5240002000*
Lamivudine 1210606000*
Lamivudine-zidovudine 1210990250*
Lamotrigine 7260004000*
Lansoprazole 4927004000*
Lansoprazole-naproxen 6610990242*
Latanoprost 8633005000*
Lepirudin 8333405010*
Levalbuterol HCl 4420104510*
Levalbuterol tartrate 4420104550*
Levetiracetam 7260004300*
Levetiracetam in NaCl 7260004305*
Levobunolol HCl 8625002010*
Levocetirizine dihydrochloride 4155002710*
Levodopa 7320004000*
Levomethadyl acetate HCl 6510003710*
Levomilnacipran HCl 5818005010*
Levorphanol tartrate 6510004010*
Levothyroxine sodium 2810001010*
Lidocaine HCl (cardiac) 3520002010*
Lidocaine in d5w 3520002011*
Linaclotide 5255705000*
Linagliptin 2755005000*
Linagliptin-metformin HCl 2799250240*
Liothyronine sodium 2810002010*
Liotrix (t3-t4) 2810003000*
Lisinopril 3610003000*
Lisinopril & hydrochlorothiazide 3699180255*
Lisinopril-dietary management product 3699850250*
Lithium carbonate 5950001010*
Lithium citrate 5950001020*
Lomitapide mesylate 3948005020*
Lopinavir-ritonavir 1210990255*
Loratadine 4155003000*
Lorazepam 5710006000*
Losartan potassium 3615004020*
Losartan potassium & hydrochlorothiazide 3699400245*
Lovastatin 3940005000*
Loxapine 5915402000*
Loxapine HCl 5940002010*
Loxapine succinate 5940002020*
Lurasidone HCl 5940002310*
Maprotiline HCl 5830001010*
Maraviroc 1210206000*
Mecamylamine HCl 3660002010*
Meclofenamate sodium 6610004010*
Mefenamic acid 6610005000*
Meloxicam 6610005200*
Meloxicam w/liniment 6610005260*
Meperidine HCl 6510004510*
Meperidine HCl-NaCl 6510004512*
Meperidine w/promethazine 6599300220*
Mephenytoin 7220002000*
Mephobarbital 6010004000*
Mesoridazine besylate 5920003010*
Metaproterenol sulfate 4420105020*
Metformin HCl 2725005000*
Metformin HCl-dietary management product 2799900250*
Methadone HCl 6510005010*
Methotrexate 2130005000*
Methotrexate (antirheumatic) 6625005000*
Methotrexate sodium 2130005010*
Methotrexate sodium (antirheumatic) 6625005010*
Methoxsalen rapid 9025056010*
Methsuximide 7240002000*
Methyclothiazide 3760005500*
Methyldopa 3620103000*
Methyldopa & chlorothiazide 3699500260*
Methyldopa & hydrochlorothiazide 3699500270*
Methyldopate HCl 3620103010*
Methysergide maleate 6700001010*
Metipranolol 8625001510*
Metolazone 3760006000*
Metoprolol & hydrochlorothiazide 3699200220*
Metoprolol succinate 3320003005*
Metoprolol tartrate 3320003010*
Metoprolol tartrate-dietary management product 3699880260*
Metyrosine 3630002500*
Mexiletine HCl 3520002510*
Mibefradil dihydrochloride 3400001710*
Mifepristone (hyperglycemia) 2730405000*
Miglitol 2750005000*
Minoxidil 3640002000*
Mipomersen sodium 3950004010*
Mirtazapine 5803005000*
Moexipril HCl 3610003310*
Moexipril-hydrochlorothiazide 3699180260*
Molindone HCl 5916005010*
Mometasone furoate 9055008210*
Mometasone furoate-ammonium lactate 9055990254*
Mometasone furoate-formoterol fumarate dihydrate 4420990290*
Montelukast sodium 4450505010*
Moricizine HCl 3505003010*
Morphine sulfate 6510005510*
Morphine sulfate beads 6510005520*
Morphine sulfate for continuous microinfusion 6510005530*
Morphine sulfate in dextrose 6510005511*
Morphine sulfate liposome 6510005540*
Morphine sulfate-NaCl 6510005515*
Morphine-naltrexone 6510005570*
Mycophenolate mofetil 9940303010*
Mycophenolate mofetil HCl 9940303020*
Mycophenolate sodium 9940303030*
Nabumetone 6610005500*
Nadolol & bendroflumethiazide 3699200230*
Nalbuphine HCl 6520003010*
Naltrexone 9340003000*
Naltrexone HCl 9340003010*, 6540003010*
Naproxen 6610006000*
Naproxen sodium 6610006010*
Naproxen w/liniment 6610006050*
Naproxen-esomeprazole magnesium 6610990244*
Naratriptan HCl 6740605010*
Nateglinide 2728004000*
Nebivolol HCl 3320004010*
Nefazodone HCl 5812005010*
Nelfinavir mesylate 1210454520*
Nevirapine 1210905000*
Niacin (antihyperlipidemic) 3945005000*
Niacin-lovastatin 3940990245*
Niacin-simvastatin 3940990270*
Nicardipine HCl 3400001810*
Nicardipine HCl in dextrose 3400001812*
Nicardipine HCl in NaCl 3400001814*
Nicotine 6210000500*
Nicotine polacrilex 6210001000*
Nifedipine 3400002000*
Nimodipine 3400002200*
Nisoldipine 3400002400*
Nitroglycerin 3210003000*
Nitroglycerin in d5w 3210003010*
Nitroprusside sodium 3640004010*
Nizatidine 4920004000*
Nortriptyline HCl 5820006010*
Olanzapine 5915706000*
Olanzapine pamoate 5915706010*
Olmesartan medoxomil 3615005520*
Olmesartan medoxomil-amlodipine-hydrochlorothiazide 3699450345*
Olmesartan medoxomil-hydrochlorothiazide 3699400250*
Omega-3-acid ethyl esters 3950004520*
Omeprazole 4927006000*
Omeprazole magnesium 4927006010*
Oxaprozin 6610006500*
Oxazepam 5710007000*
Oxcarbazepine 7260004600*
Oxycodone HCl 6510007510*
Oxycodone w/acetaminophen 6599000220*
Oxycodone-aspirin 6599000222*
Oxycodone-ibuprofen 6599000226*
Oxymorphone HCl 6510008010*
Paliperidone 5907005000*
Paliperidone palmitate 5907005010*
Pancreatin 5120001000*
Pancrelipase 5120002000*
Pancrelipase (lipase-protease-amylase) 5120002400*
Pantoprazole sodium 4927007010*
Paramethadione 7230001000*
Paroxetine HCl 5816006000*
Paroxetine mesylate 5816006030*
Pegloticase 6800005000*
Pentaerythritol tetranitrate 3210004000*
Pentazocine lactate 6520004020*
Pentazocine w/aspirin 6599400220*
Pentazocine w/naloxone 6520004030*
Pentazocine-acetaminophen 6599400210*
Pentobarbital 6010005500*
Pentobarbital sodium 6010005510*
Perampanel 7255006000*
Pergolide mesylate 7320005000*
Perindopril erbumine 3610003510*
Perphenazine 5920004500*
Phenacemide 7260005000*
Phenelzine sulfate 5810002010*
Pheniramine-phenyltoloxamine-pyrilamine 4199100310*
Phenobarbital
Phenobarbital sodium 6010006010*
Phenoxybenzamine HCl 3630001010*
Phentolamine mesylate 3630002010*
Phenylbutazone 6610101000*
Phenytoin 7220003000*
Phenytoin sodium 7220003005*
Phenytoin sodium extended 7220003020*
Phenytoin sodium prompt 7220003010*
Phenytoin w/phenobarbital 7260990210*
Physostigmine sulfate 8650204020*
Pilocarpine & epinephrine 8650990210*
Pilocarpine HCl 8650103010*
Pilocarpine nitrate 8650103020*
Pioglitazone HCl 2760705010*
Pioglitazone HCl-glimepiride 2799780240*
Pioglitazone HCl-metformin HCl 2799800240*
Pirbuterol acetate 4420105500*
P irox icam 6610007000*
Pitavastatin calcium 3940005810*
Polythiazide 3760006500*
Pramipexole dihydrochloride 73203060100305
Prasugrel HCl 8515806010*
Pravastatin sodium 3940006510*
Prazepam 5710008000*
Prazosin HCl 3620203010*
Prazosin & polythiazide 3699550270*
Prednicarbate 9055008300*
Pregabalin 7260005700*
Primidone 7260006000*
Probenecid 6810001000*
Probucol 3950005500*
Procainamide HCl 3510002010*
Prochlorperazine 5920005500*
Prochlorperazine edisylate 5920005520*
Prochlorperazine maleate 5920005510*
Procyclidine HCl 7310006000*
Promazine HCl 5920006010*
Promethazine HCl 4140002010*
Propafenone HCl 3530005000*
Propoxyphene compound 6599200210*
Propoxyphene HCl 6510008510*
Propoxyphene HCl w/acetaminophen 6599200220*
Propoxyphene napsylate 6510008520*
Propoxyphene w/aspirin 6599200230*
Propoxyphene-n w/acetaminophen 6599200240*
Propoxyphene-n w/acetaminophen & dietary management product 6599800250*
Propranolol & hydrochlorothiazide 3699200240*
Protriptyline HCl 5820007010*
Pyrazinamide 0900007000*
Pyrilamine tannate 4130001040*
Quetiapine fumarate 5915307010*
Quinapril HCl 3610004010*
Quinapril-hydrochlorothiazide 3699180265*
Quinidine gluconate 3510003010*
Quinidine polygalacturonate 3510003020*
Quinidine sulfate 3510003030*
Rabeprazole sodium 4927007610*
Raltegravir potassium 1210306010*
Ramipril 3610005000*
Ranitidine bismuth citrate 4920002005*
Ranitidine HCl 4920002010*
Ranitidine HCl in NaCl 4920002011*
Rasagiline mesylate 7330002520*
Remifentanil HCl 6510008710*
Repaglinide 2728006000*
Repaglinide-metformin HCl 2799500270*
Reserpine 3620304000*
Reserpine & chlorothiazide 3699100232*
Reserpine & hydrochlorothiazide 3699100234*
Reserpine & hydroflumethiazide 3699100235*
Reserpine & methyclothiazide 3699100236*
Reserpine & polythiazide 3699100237*
Reserpine & trichlormethiazide 3699100239*
Ribavirin-interferon alfa-2b 1299500260*
Rifabutin 0900007500*
Rifampin 0900008000*
Rifapentine 0900008500*
Rilpivirine HCl 1210908010*
Risperidone 5907007000*
Risperidone microspheres 5907007010*
Ritonavir 1210456000*
Rivaroxaban 8337006000*
Rizatriptan benzoate 6740606010*
Rofecoxib 6610056500*
Ropinirole HCl 7320307010*
Rosiglitazone maleate 2760706010*
Rosiglitazone maleate-glimepiride 2799780260*
Rosiglitazone maleate-metformin HCl 2799800260*
Rosuvastatin calcium 3940006010*
Rotigotine 7320307500*
Rufinamide 7260006500*
Saquinavir 1210458000*
Saquinavir mesylate 1210458020*
Sacrosidase 5120006000*
Salmeterol xinafoate 4420105810*
Saxagliptin HCl 2755006510*
Saxagliptin-metformin HCl 2799250260*
Secobarbital sodium 6010007010*
Selegiline 5810002700*
Selegiline HCl 7330003010*
Sertraline HCl 5816007010*
Sevelamer carbonate 5280007005*
Sevelamer HCl 5280007010*
Silodosin 5685206000*
Simvastatin 3940007500*
Sirolimus 9940407000*
Sitagliptin phosphate 2755007010*
Sitagliptin-metformin HCl 2799250270*
Sitagliptin-simvastatin 2799300270*
Sodium polystyrene sulfonate 9945001000*
Spironolactone 3750002000*
Stavudine 1210807000*
Sufentanil citrate 6510009010*
Sulfinpyrazone 6810002000*
Sulindac 6610008000*
Sumatriptan 6740607000*
Sumatriptan succinate 6740607010*
Sumatriptan-naproxen sodium 6799200260*
Tacrine HCl 6205105010*
Tacrolimus 9940408000*
Tafluprost 8633006500*
Tamsulosin HCl 5685207010*
Tapentadol HCl 6510009110*
Tazarotene 9025007000*
Tegaserod maleate 5255506020*
Telmisartan 3615007000*
Telmisartan-amlodipine 3699300270*
Telmisartan-hydrochlorothiazide 3699400260*
Tenofovir disoproxil fumarate 1210857010*
Terazosin HCl 3620204010*
Terbutaline sulfate 4420106020*
Terfenadine 4155004000*
Thioridazine HCl 5920008010*
Thiothixene 5930002010*
Thiothixene HCl 5930002020*
Thyroglobulin 2810004000*
Thyroid 2810005000*
Thyroid (pork) 2810008000*
Thyroid strong 2810006000*
Tiagabine HCl 7217007010*
Ticagrelor 8515847000*
Ticlopidine HCl 8515808010*
Timolol 8625003000*
Timolol & hydrochlorothiazide 3699200250*
Timolol maleate (ophth) 8625003010*
Tinzaparin sodium 8310108010*
Tiotropium bromide monohydrate 4410008010*
Tipranavir 1210458500*
Tirofiban HCl 8515306010*
Tirofiban HCl in NaCl 8515306011*
Tocainide HCl 3520003010*
Tolazamide 2720005000*
Tolazoline HCl 3660003010*
Tolbutamide 2720006000*
Tolcapone 7315207000*
Tolmetin sodium 6610009010*
Topiramate 7260007500*
Torsemide 3720008000*
Tramadol HCl 6510009510*
Tramadol HCl-dietary management product 6599850250*
Tramadol-acetaminophen 6599500220*
Trandolapril 3610006000*
Trandolapril-verapamil HCl 3699150270*
Tranylcypromine sulfate 5810003010*
Travoprost 8633007000*
Trazodone HCl 5812008010*
Trazodone HCl-dietary management product 5899800275*
Triamterene 3750003000*
Trichlormethiazide 3760007500*
Trifluoperazine HCl 5920008510*
Trihexyphenidyl HCl 7310007010*
Trimeprazine tartrate 4140003010*
Trimethadione 7230002000*
Trimipramine maleate 5820008010*
Tripelennamine HCl 4130002010*
Triprolidine HCl 4110004010*
Triprolidine tannate 4110004030*
Troglitazone 2760707000*
Umeclidinium-vilanterol 4420990295*
Unoprostone isopropyl 8633008510*
Urea-hc acetate 9055990285*
Ustekinumab 9025058500*
Valdecoxib 6610057500*
Valproate sodium 7250002010*
Valproic acid 7250003000*
Valsartan 3615008000*
Valsartan-hydrochlorothiazide 3699400270*
Varenicline tartrate 6210008020*
Venlafaxine HCl 5818009010*
Verapamil HCl 3400003010*
Vigabatrin 7217008500*
Vilazodone HCl 5812008810*
Vorapaxar sulfate 8515578030*
Vortioxetine HBr 5812009310*
Warfarin sodium 8320003020*
Zafirlukast 4450508000*
Zalcitabine 1210608500*
Zidovudine 1210808500*
Ziprasidone HCl 5940008510*
Ziprasidone mesylate 5940008520*
Zolmitriptan 6740608000*
Zonisamide 7260009000*

Note: The asterisk * represents a wild card. The first 10 digits of the GPI define the therapeutic class code (Drug Group, Drug Class, Drug sub-class, Drug name, Drug name extension), and the last 4 digits define route, dosage, or strength. Use of the wild card is a shorthand for reporting a large number of unique GPI codes belonging to the same category.

D5W = 5% dextrose in water; GPI = Generic Product Identifier; HCl = hydrochloride; ICD-9-CM = International Classification of Diseases, Ninth Revision, Clinical Modification; NaCl = sodium chloride; ophth = ophthalmic solution.

Appendix B. NDC Numbers and HCPCS/J Codes Used to Identify Treatments

Drug NDC Numbera HCPCS/J Code
Ado-trastuzumab C9131,J9354
Ado-trastuzumab emtansine 5024200
Alemtuzumab 5846803, 5041903 S0087, J9010, C9110
Afatinib dimaleate 0059701
Aldesleukin 6548301, 5390509, 0007804, 5486855 J9015
Alitretinoin 6436505, 6285606
Arsenic trioxide 6055301, 6345906 J9017, C9012
Asparaginase 6738604, 0000646, 0024712 C9289,J9020
Asparaginase erwinia chrysanthemi 5790202
Axitinib 0006901
Azacitidine 4359803, 0078132, 0078192, 5957201, 6721101 J9025, C9218, S0168
BCG vaccine 1179308
Bevacizumab 5024200 C9214, S0116, J9035
Bexarotene oral 6285606, 0018755, 6436505
Bexarotene topical 6436505, 6285606
Bosutinib 0006901
Brentuximab 5114400 C9287, J9042
Busulfan 0017307, 6728600, 5914800, 7638807, 6216100, 0008107 C1178,J8510,J0594
Cabazitaxel 0002458 J9043, C9276
Cabozantinib 4238800
Carboplatin 0001532, 2502102, 6170303, 6675800, 1013900, 1521000, 0059134, 0070332, 0070342, 5539001, 6781700, 6686001, 5539002, 6332301, 5011109, 1001909, 0059136, 0059133, 0040911, 0059122 J9045
Carfilzomib 7607501 C9295, J9047
Carmustine 0001530, 2315502 C9437, J9050
Carmustine in polifeprosan intracranial implant 6285601, 6137901, 5806301
Cetuximab 6673309 C9215,J9055
Chlorambucil 5486811, 0017306, 0008106, 7638806 S0172
Cisplatin 5539004, 0070357, 0001532, 6332301, 5539001, 4456705, 1001909, 0001530, 0006900, 5539000 J9062, C9418, J9060
Cladribine 6332301, 5539001, 5967602, 0006900, 0006902 C9419, J9065
Clofarabine 5846801 J9027, C9129
Crizotinib 0006981
Cyclophosphamide 1001909, 5456903, 0005441, 0001505, 0001356, 0008705, 5486850, 5486852, 5456957, 0005481, 0064122, 0005480 C9420, J9096, J9092, J9070, J9080, J9093, J9097, C9421, J9090, J9094, J8530, J9091, J9095
Cytarabine 0000903, 0006901, 0036424, 6332301, 5539001, 5539008, 6170303, 0000904, 0000930, 0070351, 6745704, 0000932,5390501 J9098, C9422, J9110, J9100
Cytarabine liposome 5766503, 5390503 C1166
Dabrafenib 0017308
Dactinomycin 0000632, 5529208, 6738608, 5539003 J9120
Dasatinib 0000308, 0000305, 5486857
Daunorubicin citrate liposome 5614603, 6195803, 1088500 J9151
Daunorubicin HCl 6332301, 0070352, 5539001, 5539008, 5539002, 0070350 C9424, J9150
Decitabine 5511105, 4359803, 6285606, 5806306 C9231, J0894
Denileukin diftitox 6436505, 6285606 C1084, J9160
Docetaxel 0007580, 0040902, 0095510, 1672902, 6050560, 2502102, 4733502, 6675800, 1672901 J9170,J9171
Doxorubicin HCl 0001311, 0001533, 0018615, 0046988, 1001909, 5390502,5390508,5539002,0001312, 0001310, 0007450, 0006930, 0006901, 0070350, 0006940, 5315003, 2502102, 6745703, 6332308, 6275608, 6332301, 6745704, 0070202 Q2048, J9000, C9415
Epirubicin HCl 6170303, 5992307, 6332301, 1051801, 5315002, 6675800, 5539002,0059134,1013900, 2502102, 0000950,5976250, 0070330 J9178,J9180, C1167
Eribulin 6285603 C9280, J9179
Erlotinib 5024200, 5456958, 5486854, 5486852
Etoposide 0001530, 0007414, 0020930, 0070356, 1001909, 5539002, 584 0 607, 6332301, 00 07456, 0001373, 0036430, 5107909, 5539 004, 0018615, 0037832, 5390502, 5456957, 5486853, 1672901, 0001534 C9414, J9182, C9425, J8560, J9181
Everolimus 0007805, 0007806 J7527
Floxuridine 5539004, 6170303, 0000419, 6332301, 5539001 C9426, J9200
Fludarabine Q2025, J9185, C9262
Fludarabine phosphate 0006993, 5041905, 5846801, 6332301, 0070348, 0070358, 6170303, 0002458, 6745702, 2502102, 6675800
Fluorouracil 1672902, 0001310, 0070330, 3976900, 6332301, 6170304, 1013900, 0046917, 0006901, 0070217, 1001909, 6675800, 0000419, 0018739, 0018230 J9190
Gefitinib 0031004 J8565
Gemcitabine 6332301, 5511106, 0006938, 0040901, 1672901, 2315502, 0000275, 0078132, 0070357, 4733501, 0059135, 2502102, 5539003, 1672900 J9201
Ibrutinib 5796201
Idarubicin HCl 0001325, 0070341, 5539002, 6332301, 5976225 C9429, J9211
Ifosfamide & mesna 0001535, 0070341
Imatinib mesylate 5486852, 5486854, 0007804, 6825890, 0007803, 5456958 S0088
Interferon alfa-2a 0000419, 0000420, 0000469 J9213
Interferon alfa-2b 0033965, 0008501, 5486830, 0008505, 0008506, 0008509, 0008511, 0008512, 0008507, 5486833, 0008502 J9214
Interferon alfa-n3 5474600, 0003410 J9215
Ipilimumab 0000323 C9284,J9228
Ixabepilone 0001519 C9240,J9207
Lapatinib ditosylate 0017307
Lenalidomide 5957204
Levamisole HCl 5045802 S0177
Lomustine 0001530, 5818130 C9017, S0178
Mechlorethamine 0000677, 6738609, 5529209 J9230
Melphalan 5260930, 6745701, 5486843,0017300, 5957203, 5456903, 0017301, 0008100, 5260900, 6745702 J8600, J9245
Mercaptopurine 0037835, 6808403, 0008108, 5784405, 0005445, 5486852, 6825891, 0017308, 4988409, 0009355 S0108
Mesna 0001535, 2502102, 6710835, 0033813, 6745701, 6332307, 5539000, 5539002, 1001909, 0070348, 5539003
Methotrexate J9250,J8610,J9260
Mitomycin 1672901, 0001530, 5390502, 1672902, 5539002, 5539004, 6332301, 6270100, 6170303 J9290, J9280, C9432, J9291
Mitoxantrone HCl 0020593, 1051801, 4408715, 5539000, 6170303, 6332301, 1521004, 0070346, 5840606 J9293
Nelarabine 0000744 J9261
Nilotinib 0007805
Obinutuzumab 5024200
Ofatumumab 0017308 C9260, J9302
Omacetaxine mepesuccinate 6345901
Paclitaxel 5107909, 0007443, 5539003, 1051801, 6675800, 0070347, 0001534, 6332307, 2502102, 0006900, 0017237, 5539001, 6170303, 5539005, 0055519 C9431, J9265
Pazopanib 0017308
Pegaspargase 0007506, 5448203, 5766500 J9266
Peginterferon alfa-2a 0000403, 5486848 S0145
Peginterferon alfa-2b 0008512, 0008513, 5486850 S0146
Pentostatin 5539002, 0040908, 6270108 J9268
Pertuzumab 5024201 C9292, J9306
Plicamycin J9270
Pomalidomide 5957205
Ponatinib 7618905
Porfimer sodium 5891415, 0002415, 7612801, 5891401 J9600
Pralatrexate 4881800 C9259, J9307
Procarbazine S0182
Procarbazine HCl 5486813, 5448200, 0000400
Regorafenib 5041901
Rituximab 5024200 J9310
Romidepsin 5957209, 4602609 J9315, C9265
Ruxolitinib 5088100
Sipuleucel-t 3023789 C9273, Q2043
Sorafenib tosylate 0002684, 5041904
Streptozocin 0000908, 0024713, 0070346 J9320
Sunitinib malate 0006907, 0006909, 5456959, 0006905, 5486855
Temozolomide 0078126, 0008513, 0008530, 0008515, 5486853, 0008514, 0008512, 5456958, 5486841, 4733509, 4733508, 0009376, 6726305, 5486859, 0009375 C1086, C9253, J8700, J9328
Temsirolimus 0000811 J9330, C9239
Teniposide 0001530, 4456705 Q2017
Thalidomide 5957202, 5957201
Thioguanine 0008108, 7638808, 0017308
Thiotepa 5840606, 0000546, 0070343, 5539000 J9340, C9433
Topotecan J9351, J8705, J9350
Tositumomab 6780001, 0000732 G3001
Trametinib 0985008, 0017308
Tretinoin 6808400, 0000402, 0055508, 1037002 S0117
Uracil mustard 0000909
Valrubicin 5301402, 6797900 J9357
Vandetanib 0031078
Vemurafenib 5024200
Vincristine sulfate 0001374, 0070344, 0036424, 0000271, 6170303, 0030421, 0046935, 5130902, 0040210 J9380, J9370, J9375
Vincristine sulfate liposome 2053603
Vismodegib 5024201
Vorinostat 0000605
Ziv-aflibercept 0002458 C9296, J9400

a Concatenated NDC number to numbers 1-7 to include multiple subcodes at NDC11 level.

BCG = Bacillus Calmette—Guérin; HCl = hydrochloride; HCPCS = Healthcare Common Procedure Coding System; NDC = National Drug Code.

Appendix C. Multivariate Regression of Key Patient Characteristics on Duration of Axitinib Therapy

Variable Estimate Standard Error T Value P Value
Intercept 164.054 9.316 17.61 < 0.0001
Gender (female vs. male) -20.628 8.251 -2.500 0.013
Geography
Midwest vs. Northeast -27.978 10.763 -2.60 0.010
West vs. Northeast -27.710 11.456 -2.42 0.016
South vs. Northeast -10.709 9.959 -1.08 0.282
Unknown vs. Northeast 156.946 122.997 1.28 0.202
Prior regimen
Everolimus vs. sunitinib 18.188 9.619 1.890 0.059
Pazopanib vs. sunitinib -2.983 9.865 -0.300 0.762
Temsirolimus vs. sunitinib -31.320 14.791 -2.120 0.034
Other vs. sunitinib -46.400 16.075 -2.890 0.004
Sorafenib vs. sunitinib -3.385 19.412 -0.170 0.862
Bevacizumab vs. sunitinib -50.226 22.874 -2.200 0.028
Baseline hypothyroidism treatment (yes vs. no) 25.538 8.927 2.860 0.004

References


Articles from Journal of Managed Care & Specialty Pharmacy are provided here courtesy of Academy of Managed Care Pharmacy

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