Dose escalation of biologic treatment in patients with moderate-to-severe psoriasis in Japan.

Patients receiving interleukin (IL)-inhibiting biologics for moderate-to-severe psoriasis (PsO) may be treated with escalated doses to optimize outcomes. This study evaluated escalation prevalence in a Japanese claims analysis of patients with PsO diagnosis preceding IL-inhibiting biologic treatment and ≥1 post-induction maintenance claim (index date) with sufficient data availability from January 2014 to May 2022. Patients with non-persistence were excluded. Expected daily dose (EDD) was calculated as the recommended maintenance dose divided by the treatment interval. Dose escalation was defined as ≥2 claims showing a ≥20% increase in the observed average daily dose (ADD) over the EDD (with sensitivities requiring ≥1 claim and ≥30%). Significant differences were tested using multivariable regressions. The study included 982 unique patients treated with brodalumab (BRO; n = 104), guselkumab (GUS; n = 207), ixekizumab (IXE; n = 159), risankizumab (RIS; n = 135), secukinumab (SEC; n = 215) and ustekinumab (UST; n = 196). Within 12 months, dose escalation was observed for all IL-inhibiting biologics other than GUS and RIS: 44.4% for UST, 37.2% for IXE, 3.4% for SEC and 1.4% for BRO. In multivariable-adjusted analyses, odds of dose escalation were significantly lower for all products relative to UST. In sensitivities, escalation was observed for all products except RIS.

Association between nintedanib adherence trajectory and healthcare use among idiopathic pulmonary fibrosis patients.

BACKGROUND: Although inverse associations have been found between medication adherence and healthcare use and spending outcomes in many clinical settings, no studies to date have examined these relationships for patients with idiopathic pulmonary fibrosis (IPF) initiating nintedanib. We build on our prior study that used group-based trajectory modeling (GBTM) to compare inpatient hospitalization and medical care spending outcomes between groups of patients with different nintedanib adherence trajectories. METHODS: This analysis used 100% Medicare data and included beneficiaries with IPF who initiated nintedanib during 10/01/2014-12/31/2018. The sample consisted of community-dwelling older adults (≥ 66 years) with continuous coverage in Medicare Parts A (inpatient care), B (outpatient care) and D (prescription drugs) for one year before (baseline) and after (follow-up) initiating nintedanib. Patients were assigned to the GBTM-derived adherence trajectory group closest to their own nintedanib adherence experience. All-cause and IPF-related hospitalization events and total medical spending were measured during the follow-up period. Unadjusted and adjusted regression models were estimated to compare outcomes between patients in different nintedanib adherence trajectories. RESULTS: Among the 1,798 patients initiating nintedanib, the mean age was 75.4 years, 61.1% were male, and 91.1% were non-Hispanic white. The best-fitting GBTM had five adherence trajectories: high adherence, moderate adherence, high-then-poor adherence, delayed-poor adherence, and early-poor adherence. All-cause hospitalizations and total all-cause medical spending were higher among patients in the high-then-poor, delayed-poor and early-poor adherence trajectories than those in the high adherence trajectory. For example, adjusted total all-cause medical spending was $4,876 (95% CI: $1,470 to $8,282) higher in the high-then-poor adherence trajectory, $3,639 (95% CI: $1,322 to $5,955) higher in the delayed-poor adherence trajectory and $3,907 (95% CI: $1,658 to $6,156) higher in the early-poor adherence trajectory compared with the high adherence trajectory. IPF-related hospitalizations and medical care spending were higher among those in the high-then-poor adherence trajectory compared with those in the high adherence trajectory. CONCLUSIONS: Poor adherence to nintedanib was associated with all-cause hospitalizations and medical costs. Therefore, improved adherence programs, such as support programs, can be implemented to reduce economic burden.

Real-World Discontinuation and Switching Patterns for Interleukin-Inhibitor Treatments in Patients with Moderate-to-Severe Psoriasis in Japan.

INTRODUCTION: Patients with moderate-to-severe psoriasis (PsO) treated with interleukin (IL)-inhibitors may require treatment modification to achieve disease control. This study evaluated discontinuation and switching of IL-inhibitors for PsO patients in Japan. METHODS: Japan Medical Data Center claims (1/2005-5/2022) were used to identify patients with PsO diagnosis preceding a first IL-inhibitor claim (index date) with ≥ 6 months of eligibility prior. Treatment switch (claim for another biologic) and discontinuation (gap in care ≥ 150% of the days' supply of the preceding prescription) were assessed up to 24 months following initiation. Censored Kaplan-Meier time-to-event analyses calculated rates, and Cox proportional hazards models estimated hazard ratios (HRs) adjusting for baseline characteristics. RESULTS: The study included 1481 unique patients treated with brodalumab (BRO; n = 159), guselkumab (GUS; n = 360), ixekizumab (IXE; n = 279), risankizumab (RIS; n = 327), secukinumab (SEC; n = 366), tildrakizumab (n = 40; excluded due to limited data), and ustekinumab (UST; n = 262). At 12/24 months, 25.9%/38.6% of patients overall had discontinued their index IL-inhibitor and 13.5%/21.2% had switched to another biologic. Discontinuation at 12/24 months was lowest for RIS (11.2%/17.4%), followed by UST (17.9%/32.2%), IXE (27.0%/37.0%), GUS (29.8%/43.0%), SEC (35.6%/53.8%), and BRO (37.2%/47.2%). Switching showed a similar trend: RIS (5.7%/10.7%), UST (11.2%/19.9%), SEC (14.7%/25.7%), IXE (14.8%/21.5%), GUS (16.9%/23.2%), and BRO (19.7%/26.8%). HRs of discontinuation relative to RIS were 2.07 for UST, 2.59 for IXE, 2.70 for GUS, 3.65 for BRO, and 3.69 for SEC (all P ≤ 0.001). HRs of switching relative to RIS were 2.05 for IXE, 2.45 for GUS, 2.67 for SEC, 2.73 for UST, and 2.77 for BRO (all P ≤ 0.01). CONCLUSION: Treatment modification of IL-inhibitors for PsO was commonly observed and could indicate insufficient disease control and/or incremental economic burden. Discontinuation and switching rates were lowest for RIS regardless of time point and adjustment for patient characteristics.

Real-World Impact of Prophylactic Growth Factor Use on Timing of Febrile Neutropenia and Infection After High-Risk Chemotherapy.

BACKGROUND: Prophylactic growth-factor therapy with granulocyte colony-stimulating factor (G-CSF) reduces the risk of febrile neutropenia (FN) in patients with breast cancer initiating myelosuppressive chemotherapy. However, little is known about the protective benefit early in the chemotherapy cycle. METHODS: To assess the relationship between G-CSF prophylaxis and incidence of FN/infection in week 1 versus beyond week 1 of the first chemotherapy cycle, a retrospective study was conducted using Medicare claims from 2005 through 2020 among patients with breast cancer initiating high-risk chemotherapy. Two cohorts were compared based on G-CSF prophylaxis within 3 days following chemotherapy initiation. The primary outcome was FN or infection, defined as hospitalization with neutropenia, fever, or infection diagnosis. Secondary outcomes were a stricter definition of FN and infection-related hospitalization. Unadjusted and regression-adjusted proportions of patients experiencing each outcome during week 1 versus beyond week 1 of the first chemotherapy cycle were compared. RESULTS: Of 78,810 patients meeting all inclusion criteria (>98% female; mean age, 69 years), 79% initiated TC (docetaxel/cyclophosphamide), 14% TCH (docetaxel/carboplatin/trastuzumab), and 7% TAC (docetaxel/doxorubicin/cyclophosphamide). Among patients receiving G-CSF (74%), incidence of first-cycle FN/infection was lower compared with patients not receiving G-CSF (overall, 6% vs 13%; TAC, 12% vs 19%; TC, 6% vs 12%; TCH, 5% vs 15%). However, patients who received G-CSF were generally more likely to experience FN/infection in week 1 (adjusted odds ratio [aOR], 1.24 for all; 1.73 for TAC; 1.35 for TC; and 0.76 for TCH). Results were similar for strictly defined FN (overall aOR, 1.29 for week 1 and 0.12 for beyond week 1) and infection-related hospitalization (overall aOR, 1.33 for week 1 and 0.27 for beyond week 1). CONCLUSIONS: Overall, the rates of chemotherapy-related FN and infection in week 1 of the first chemotherapy cycle are similar for patients receiving and not receiving G-CSF, suggesting continued risk in week 1 despite prophylactic G-CSF.

Using group based trajectory modeling for assessing medication adherence to nintedanib among idiopathic pulmonary fibrosis patients.

BACKGROUND AND OBJECTIVE: Adherence to antifibrotic medications has been evaluated in a few studies using annual proportion of days covered (PDC), a common adherence metric. However, PDC alone cannot identify and distinguish between different patterns of adherence over time, which can be accomplished using group-based trajectory models (GBTM) of monthly PDC. The objective is to assess nintedanib adherence trajectories using GBTM and identify characteristics of patients within each trajectory group. METHODS: Individuals with idiopathic pulmonary fibrosis (IPF) who initiated nintedanib during 10/1/2014-12/31/2018 were identified in 100% Medicare claims and enrollment data. The sample consisted of community-dwelling older adults (≥ 66 years) with continuous coverage in Medicare Parts A, B and D for one year before (baseline) and after (follow-up) initiating nintedanib. A series of GBTMs of adherence was estimated to identify the best-fitting specification. Patients were then grouped based on their estimated adherence trajectories. Associations between baseline patient characteristics, including demographics, comorbidities, and health care use, and group membership probabilities were quantified as odds ratios using fractional multinomial logit modeling. RESULTS: Among the 1,798 patients initiating nintedanib, mean age was 75.4 years, 61.1% were male, and 91.1% were non-Hispanic white. The best-fitting GBTM had five adherence trajectory groups: high adherence (43.1%), moderate adherence (11.9%), high-then-poor adherence (10.4%), delayed-poor adherence (13.2%), and early-poor adherence (21.5%). The principal factors associated with higher odds of being in at least one of the poor-adherence groups were older age, female sex, race and ethnicity other than non-Hispanic white, and number of medications during baseline. CONCLUSIONS: GBTM identified distinct patterns of nintedanib adherence for the IPF patient cohort. Identifying adherence trajectory groups and understanding the characteristics of their members provide more actionable information to personalize interventions than conventional metrics of medication adherence.

Continuity of Care Within a Single Patient Support Program for Patients with Rheumatoid Arthritis Prescribed Second or Later Line Advanced Therapy.

INTRODUCTION: Guidelines suggest patients with rheumatoid arthritis (RA) inadequately controlled by tumor-necrosis-factor-inhibitors (TNFis) may benefit from switching to Janus-kinase-inhibitors (JAKis); however, care coordination and access can be complicated. Disruptions in transitioning to JAKi treatment could lead to disease flares requiring hospitalization; however, transitioning between products within the same patient support program (PSP) services aimed at ensuring continuity of care may minimize disruptions. METHODS: A retrospective, longitudinal cohort study of adult patients with RA newly prescribed JAKi following TNFi treatment in the Symphony Health claims database. Patients with baseline TNFi use and ≥ 6 months of data before (baseline) and after (follow-up) the initial JAKi claim (approved or denied) were included. Cohorts were defined by transitions between products within the same PSP [adalimumab (ADA) and upadacitinib (UPA)] or not. Disruptions were defined as gap in care ≥ 15 days due to failure/delay in receiving coverage approval or picking up an approved prescription. Disruptions followed by JAKi dispense were considered temporary and those without permanent. Odds ratios (ORs) of disruption and hospitalization were estimated from logistic regressions controlling for patient characteristics and treatment history. RESULTS: A total of 2371 patients were included: 317 transitioning from ADA-UPA, 321 TNFi-UPA, 860 ADA-another JAKi, and 873 another TNFi-another JAKi. Temporary and permanent disruptions increased odds of hospitalization by 47% and 123% (both p < 0.05). Temporary disruption rates were lowest for ADA-UPA patients (19%) compared to other TNFi-UPA (25%; OR = 1.46), ADA-other JAKi (29%; OR = 1.59), and other TNFi-other JAKi (31%; OR = 1.74), all p < 0.05. For transitions to UPA, temporary disruptions were lower for patients using the PSP (17%) versus not (24%; OR = 1.45, p < 0.05). No differences were found for permanent disruptions. CONCLUSION: Disruptions for patients with RA transitioning from TNFi to JAKi treatment are associated with increased hospitalization rates. Transitioning between drugs within the same PSP could lower the risk of disruption.