Economic burden of growth hormone deficiency in a US pediatric population.

BACKGROUND: Pediatric growth hormone deficiency (GHD) is a rare disorder of short stature that is currently treated with daily injections of somatropin. In addition to short stature, GHD is associated with other comorbidities such as impaired musculoskeletal development, cardiovascular disease, and decreased quality of life. OBJECTIVE: To analyze somatropin utilization, adherence, and health care costs among children with GHD who had either Medicaid or commercial health insurance. METHODS: Children (aged < 18 years) with a GHD diagnosis between January 1, 2008, and December 31, 2017, were identified in the IBM MarketScan Commercial and Medicaid databases. Patients with at least 12- and 6-month continuous enrollment pre- and postdiagnosis were eligible. Children with GHD were direct matched (1:3) to controls without GHD (or other short stature-related disorders) on age, gender, plan type, region, and race (Medicaid only). Index date was the date of the first GHD diagnosis during the selection window for GHD patients and using random assignment for controls. Patients were followed until the end of continuous database enrollment or December 31, 2018. Baseline comorbidities and medications were measured during the 12 months pre-index, whereas somatropin treatment patterns along with all-cause and GHD-related health care costs were measured during the variable follow-up period. Multivariable modeling was used to compare costs between GHD patients and controls and between somatropin-treated and -untreated GHD patients while adjusting for baseline characteristics. RESULTS: There were 6,820 Medicaid and 14,070 commercial patients with GHD who met the study inclusion criteria. Mean (SD) age at index was 9.5 (4.5) years for Medicaid patients and 11.1 (3.7) years for commercial patients. The majority of patients were male (> 65%), and mean follow-up time for all cases and controls was 3-4 years. Overall, 63.2% of Medicaid and 68.4% of commercial GHD patients were treated with somatropin at some point during follow-up. Among Medicaid GHD patients, the treatment rate was highest among White males and lowest among Black females. Adherence was low as the proportion of days covered was ≥ 80% for only 18.4% of Medicaid patients and 32.3% of commercial patients and 49.1% of treated Medicaid and 24.3% of treated commercial patients discontinued before turning age 13. After adjusting for baseline characteristics, all-cause non-somatropin annualized costs were 5.67 times higher (Δ$19,309) for Medicaid GHD patients and 5.46 times higher (Δ$12,305) for commercial GHD patients than matched non-GHD controls. Adjusted all-cause non-somatropin annualized costs were 0.59 times lower (Δ$14,416) for treated Medicaid patients and 0.69 times lower (Δ$7,650) for treated commercial patients than for untreated patients. CONCLUSIONS: Pediatric GHD presents a significant health care burden, and many patients remain untreated or undertreated. Untreated GHD was associated with higher non-somatropin health care costs than treated GHD. Strategies to optimize treatment and improve adherence may reduce the health care burden faced by these patients. DISCLOSURES: This study was funded by Ascendis Pharma, Inc. Smith and Pitukcheewanont are employed by Ascendis Pharma, Inc. Manjelievskaia, Lopez-Gonzalez, and Morrow are employed by IBM Watson Health, which received funding from Ascendis Pharma, Inc., to conduct this study. Kaplowitz is a paid consultant of Ascendis Pharma, Inc.

Real-world biologic and apremilast treatment patterns and healthcare costs in moderate-to-severe plaque psoriasis.

Plaque psoriasis is a chronic disease requiring long-term therapy. However, long-term real-world treatment patterns and costs are not well characterized. This study examined treatment patterns and healthcare costs among patients newly initiating a biologic or apremilast for moderate-to-severe plaque psoriasis. Included patients had ?1 prescription for secukinumab, ixekizumab, adalimumab, ustekinumab, etanercept, or apremilast between 01/01/2015 and 08/31/2018, no prior use of the index medication, and continuous enrolment 12 months pre-index and 24 months post-index. Treatment adherence, non-persistence, discontinuation, switching, use of combination therapy, and re-initiation were assessed at 12, 18, and 24 -months post-index. In addition, total and psoriasis-related healthcare costs were evaluated at 24 months. A total of 7,773 patients with 24-month follow-up were included. Overall, adherence was low (21.3%-33.5%) and non-persistence was high (58.4%-86.5%) over 24 months. Discontinuation (38.4%-51.3%), switching (29.7%-52.6%), combination therapy (27.6%-42.9%), and re-initiation of the index medication (19.3%-44.5%) were common. Healthcare costs were high and mostly contributed by psoriasis treatment. Therefore, maintaining disease control on long-term therapy is still challenging for many patients.

Real-world treatment patterns and healthcare costs of biologics and apremilast among patients with moderate-to-severe plaque psoriasis by metabolic condition status.

OBJECTIVES: To compare treatment patterns and costs among psoriasis patients with and without metabolic conditions newly initiating a biologic or apremilast. METHODS: Adult patients included had ≥1 prescription for secukinumab, adalimumab, ustekinumab, etanercept, or apremilast between 01/01/2015 and 08/31/2018 (date of first prescription was index date) and no index drug use in the 12-months pre-index, and continuous enrollment in the 12-month pre-index and 24-month post-index periods. Patients were divided into mutually exclusive treatment cohorts and stratified by their pre-index metabolic condition status. Treatment patterns (adherence, non-persistence, switching, discontinuation, use of combination therapy, and re-initiation) and healthcare costs were compared. RESULTS: Overall, 7773 patients were included; 47.5-56.7% had a metabolic condition. Except for the apremilast group, patients with metabolic conditions had higher discontinuation (secukinumab: 50.6% vs. 43.7%; adalimumab*: 53.9% vs. 48.7%; ustekinumab*: 41.9% vs. 35.1%; etanercept: 42.8% vs. 41.2%; apremilast: 43.1% vs. 46.1%) and switching (secukinumab: 48.1% vs. 41.2%; adalimumab*: 47.8% vs. 41.9%; ustekinumab*: 34.5% vs. 25.3%; etanercept*: 53.6% vs. 51.5%; apremilast: 45.8% vs. 44.6%) than patients without (*p < .05). Patients with metabolic conditions incurred significantly higher costs. CONCLUSION: Many psoriasis patients initiating biologics or apremilast had metabolic conditions. These patients had higher discontinuation and switching, and significantly higher healthcare costs.

Psoriatic arthritis treatment patterns and costs among pharmacologic treatment-naïve patients.

OBJECTIVES: Pharmacologic treatment for psoriatic arthritis (PsA) includes traditional oral small molecules (OSMs), tumor necrosis factor inhibitors (TNFis), and newer oral therapies such as a phosphodiesterase-4 (PDE4) inhibitor and a Janus kinase inhibitor. We aimed to describe treatment patterns and health care costs for treatment-naïve patients with active PsA initiating pharmacologic treatment. STUDY DESIGN: This was an observational, retrospective study. METHODS: We assessed treatment patterns and health care costs from the IBM MarketScan Research databases. We calculated costs during the 12-month follow-up period for inpatient and outpatient medical health care, including outpatient prescription costs. RESULTS: A total of 3491 patients were identified for the study. Incident therapies included OSMs methotrexate (58.3%), sulfasalazine (9.8%), hydroxychloroquine (2.3%), and other OSMs (1.9%); TNFis adalimumab (12.3%), etanercept (8.6%), infliximab (1.9%), and other TNFis (1.4%); and the PDE4 inhibitor apremilast (2.6%). Persistence ranged from 15.2% to 34.6% with OSM monotherapy and from 42.9% to 58.2% with TNFi monotherapy. Percentage of patients with a gap of at least 60 days in therapy ranged from 42.9% to 48.5% with OSMs and from 17.9% to 29.9% with TNFis. Mean first-line unadjusted per-patient per-month total health care costs for OSMs ranged from $1029 to $1456 and mean total health care costs ranged from $19,173 to $25,013. Mean unadjusted per-patient per-month total health care costs for TNFis ranged from $4203 to $7063 and mean total health care costs ranged from $45,635 to $60,933. CONCLUSIONS: Although patients using OSMs had generally lower total health care costs, they also had the highest rates of treatment modifications such as low persistence and medication gaps of at least 60 days.

Assessing the Association of Formulary Copayment Changes with Real-World Treatment Patterns in Patients with Rheumatoid Arthritis on Etanercept.

BACKGROUND: Rheumatoid arthritis (RA) is a chronic disease that requires long-term treatment to improve or maintain stable disease activity. Tumor necrosis factor inhibitors (TNFi), a class of biologic disease-modifying antirheumatic drugs (bDMARD), are effective at treating symptoms and inhibiting joint progression. Although treatment changes are not recommended in patients with stable disease, health plans have recently enacted formulary changes with higher copayments that could disrupt patient access to TNFis. OBJECTIVE: To assess the association of formulary copayment changes with real-world treatment patterns, treatment effectiveness, and health care costs among bDMARD-naive patients with RA receiving the TNFi etanercept. METHODS: This retrospective observational cohort analysis used the IBM Watson Health MarketScan Commercial Claims and Encounters Database. Adult patients with RA with 6 months of stable etanercept use (no refill gap ≥ 45 days) from January 1, 2013, through December 31, 2015, were selected and the index date was set to the first fill date after the stable-use period. Average etanercept copayment was calculated at the drug-plan level. Copayment change was defined as a monthly increase of at least $40 to account for copayment changes attributable to etanercept wholesale acquisition costs between 2014 and 2015. This amount also corresponded to the 90th percentile of average plan-level changes in etanercept copayments in the database, representing an average change in copayment by a payer. Patients were followed ≥ 12 months before and after the index date to track etanercept treatment changes and ≥ 12 months after a treatment change to track costs after etanercept copayment changes. Etanercept persistence, bDMARD switching, refill gaps, and treatment effectiveness (using a validated effectiveness algorithm) were described for patients with or without copayment change during the 12 months post-index or postchange. We also assessed the mean total of all-cause and RA-related expenditure during the 12-month post-index (or postchange) period. RESULTS: 1,970 stable patients met study inclusion criteria (mean [standard deviation] age: 50.3 [9.5] years; 77.8% female) and were evaluated. Of these, 133 (6.8%) patients had a copayment change ≥$40 during follow-up. Overall, most patients (60.3%) persisted on etanercept for the 12-month follow-up period, while 13.0% switched from etanercept, and 8.1% discontinued (refill gap of ≥ 45 days). Nearly half (48.0%) of all patients were considered effectively treated according to a validated algorithm. Compared with patients without a copayment change, those with a copayment change were more likely to switch biologics (19.5% vs. 12.6%; P = 0.021). Although statistical significance was not reached, patients with a copayment change were less likely to be persistent (54.1% vs. 60.7%; P = 0.135), and less likely to be effectively treated (42.1% vs. 48.4%; P = 0.161) than patients without a copayment change. All-cause and RA-related expenditures at baseline and post-copayment change were similar between patients with and without a copayment change. CONCLUSIONS: Changing formulary copayment of etanercept was associated with higher switching without difference in costs or health care utilization between copayment and no copayment change groups. DISCLOSURES: This study was sponsored by Amgen. Bonafede, Manjelievskaia, and Lopez-Gonzalez are employees of IBM Watson Health, which received funding from Amgen to conduct this study. Oko-osi, Collier, and Stolshek are employees and shareholders of Amgen. Gharaibeh was an employee of Amgen at the time of study execution and manuscript drafting. The authors have no other relationships that present a potential conflict of interest. Data pertaining to this study were presented in a poster at the 2018 ACR/ARHP Annual Meeting; October 19-24, 2018; Chicago, IL.

Economic Burden of Veno-occlusive Disease in Patients With B-cell Acute Lymphoblastic Leukemia in the United States.

PURPOSE: The goal of this study was to evaluate the incidence, inpatient mortality, and economic burden of hepatic veno-occlusive disease (VOD) in adults with B-cell acute lymphoblastic leukemia (ALL) in the United States. METHODS: Using MarketScan Commercial Claims and Encounters Database and Medicare Supplemental and Coordination of Benefits Database, data for patients with B-cell ALL from April 1, 2009, to October 31, 2016, were extracted by using diagnosis codes. VOD was identified based on clinical criteria and expert opinions. Patients with VOD were followed up from diagnosis of VOD until the earliest occurrence of inpatient death, end of continuous enrollment, end of study period, or for a maximum of 100days. The incidence of VOD and VOD-associated inpatient mortality were calculated. VOD-related health care costs based on paid adjudicated claims were calculated. FINDINGS: Of the 2571 adults with B-cell ALL, the overall incidence of VOD was low at 3.4% (88 of 2571). Of these patients with VOD, 52% (46 of 88) experienced multiorgan failure and were identified as having severe VOD. VOD was only identified in patients having undergone hematopoietic stem cell transplantation (5.4% [88 of 1624]). The inpatient mortality rate of those with any VOD over the 100-day postindex period was 26.1%, and the inpatient mortality was even higher for patients with severe VOD (37.0%). Total mean (SD) medical costs per patient during the 100 days' post-VOD diagnosis were $55,975 ($160,335); mean (SD) costs per patient were ∼4-fold higher for severe ($86,953 [$206,906]) versus nonsevere ($22,047 [$72,847]) VOD. IMPLICATIONS: Clinical criteria were used to identify VOD events and thus VOD might be underdiagnosed. The mortality of VOD also might be underestimated because only inpatient deaths are captured in the data. The incidence and mortality of VOD could also be underestimated because we focused on adult patients who might receive reduced-intensity treatment. The economic burden of VOD may be underestimated because the Healthcare Common Procedure Coding System code specific for defibrotide was not available, and thus the cost for defibrotide might not be included. Finally, as the study population consisted of patients with commercial or Medicare supplemental insurance, results may not be generalizable to all patients with VOD in the United States. Although VOD occurred infrequently in adults with B-cell ALL, it was associated with high inpatient mortality and substantial costs. Patients with severe VOD were associated with highest mortality and highest costs. Given the clinical and economic burden associated with VOD, it is important that patients at high risk for VOD be identified and treated to minimize this risk.

Economic burden associated with adverse events of special interest in patients with relapsed Philadelphia chromosome-negative B-cell acute lymphoblastic leukemia in the United States.

BACKGROUND: Infections, cytopenia, and gastrointestinal (GI) toxicity are adverse events of special interest (AESI) affecting most relapsed Philadelphia chromosome-negative (Ph-) B-cell acute lymphocytic leukemia (ALL) patients. This study quantified real-world rates and economic burden of these events among relapsed Ph- B-cell ALL patients in the United States. METHODS: Adults with relapsed Ph- B-cell ALL during 1 April 2009-31 October 2016 were selected from MarketScan® healthcare claims databases. Outcomes included proportions of patients with AESIs and AESI-related costs during 100 days after relapsed hospitalization. RESULTS: Of 400 relapsed Ph- B-cell ALL patients, 92.5% experienced ≥1 AESI during the median 100-day follow-up, of which 64.6% had infections, 94.6% cytopenia, and 46.2% GI toxicities. Mean (SD; median) AESI-related total cost per patient during follow-up was $197,213 ($308,551; $105,731), with a mean of 2 AESI-related hospitalizations comprising 32.2 inpatient days. Mean (SD; median) healthcare costs were highest for infections ($164,461 [$347,083; $64,528]), followed by cytopenia ($125,210 [$165,141; $67,475]) and GI events ($11,652 [$40,231; $1349]). CONCLUSION: The economic burden of AESIs is substantial, with infections the most expensive, followed by cytopenia and GI toxicity. New therapies that can improve outcomes in relapsed Ph- B-cell ALL while offering a favorable safety profile are needed.

Understanding Racial and Ethnic Disparities in Postsurgical Complications Occurring in U.S. Hospitals.

OBJECTIVE: To examine the role of patient, hospital, and community characteristics on racial and ethnic disparities in in-hospital postsurgical complications. DATA SOURCES: Healthcare Cost and Utilization Project, 2011 State Inpatient Databases; American Hospital Association Annual Survey of Hospitals; Area Health Resources Files; Centers for Medicare & Medicaid Services Hospital Compare database. METHODS: Nonlinear hierarchical modeling was conducted to examine the odds of patients experiencing any in-hospital postsurgical complication, as defined by Agency for Healthcare Research and Quality Patient Safety Indicators. PRINCIPAL FINDINGS: A total of 5,474,067 inpatient surgical discharges were assessed using multivariable logistic regression. Clinical risk, payer coverage, and community-level characteristics (especially income) completely attenuated the effect of race on the odds of postsurgical complications. Patients without private insurance were 30 to 50 percent more likely to have a complication; patients from low-income communities were nearly 12 percent more likely to experience a complication. Private, not-for-profit hospitals in small metropolitan or micropolitan areas and higher nurse-to-patient ratios led to fewer postsurgical complications. CONCLUSIONS: Race does not appear to be an important determinant of in-hospital postsurgical complications, but insurance and community characteristics have an effect. A population-based approach that includes improving the socioeconomic context may help reduce disparities in these outcomes.

Predictors of glycemic control and diabetes-related costs among type 2 diabetes patients initiating therapy with liraglutide in the United States.

OBJECTIVE: Liraglutide has been shown to significantly improve glycemic control and reduce body weight while minimizing the risk of hypoglycemia in adult patients with type 2 diabetes (T2D). This study aimed to identify characteristics that predict clinical and economic outcomes associated with liraglutide therapy in clinical practice in the US. METHODS: Using the Truven Health MarketScan Laboratory Database, glycemic control (A1C <7%) and diabetes-related costs were evaluated in T2D patients initiating liraglutide between January 1, 2010 and June 30, 2012. Patients were required to have ≥1 post-index claim for liraglutide and A1C values at baseline and 6 months follow-up. All valid values of baseline A1C were included. Patients previously treated with GLP-1 receptor agonist(s) or insulin, or with evidence of type 1 diabetes, pregnancy, or gestational diabetes during the study period were excluded. Multivariable regression models were used to identify predictors of glycemic control and diabetes-related costs. RESULTS: Of 417 patients newly treated with liraglutide, 54.0% achieved glycemic control (A1C <7%) during follow-up. Factors associated with increased odds of glycemic control during follow-up were: being female, POS/EPO health plan type, baseline A1C, early liraglutide initiation (0-1 prior oral anti diabetics [OADs] vs ≥2), adherence to liraglutide (defined as the proportion of days covered [PDC]), and diabetic retinopathy. Being female, earlier liraglutide initiation (0-1 prior OADs), and higher patient share of liraglutide costs were associated with significantly lower diabetes-related costs during follow-up. Factors associated with significantly higher post-index diabetes-related costs were: higher baseline A1C, baseline use of sulfonylureas, and diabetic retinopathy. CONCLUSIONS: Within this commercially-insured population of T2D patients treated with liraglutide, gender, baseline A1C, early liraglutide initiation (0-1 prior OADs), diabetic retinopathy, better adherence, and patient share of liraglutide costs were associated with increased odds of achieving glycemic control and the odds of having higher or lower diabetes-related costs.